From 14f77b96657ac2e6f7138e9e0622c393643273da Mon Sep 17 00:00:00 2001 From: Liu Yiqun Date: Wed, 3 Dec 2025 11:40:05 +0800 Subject: [PATCH 01/15] Support to save the running_states. --- .../subgraph_decompose_and_evaluation_step.py | 33 ++++++++++++------- 1 file changed, 21 insertions(+), 12 deletions(-) diff --git a/graph_net/subgraph_decompose_and_evaluation_step.py b/graph_net/subgraph_decompose_and_evaluation_step.py index eaa926b9e..c20f6d961 100755 --- a/graph_net/subgraph_decompose_and_evaluation_step.py +++ b/graph_net/subgraph_decompose_and_evaluation_step.py @@ -119,7 +119,7 @@ def save_decompose_config( max_subgraph_size: int, tasks_map: Dict[str, Union[int, str, list, dict]], incorrect_paths: Union[List[str], Set[str]], - failed_decomposition_models: Union[List[str], Set[str]], + running_states: Dict[str, Union[int, str, list, dict]], ): """Saves the current state to a JSON file.""" @@ -133,7 +133,7 @@ def save_decompose_config( "max_subgraph_size": max_subgraph_size, "incorrect_models": list(incorrect_paths), "tasks_map": tasks_map_copy, - "failed_decomposition_models": list(failed_decomposition_models), + "running_states": running_states, } config_path = get_decompose_config_path(workspace) @@ -283,6 +283,8 @@ def generate_initial_tasks(args): """Generates tasks for Pass 0 based on the initial log file.""" print(f"[Init] Pass 0: Reading from log file: {args.log_file}") initial_failures = get_incorrect_models(args.tolerance, args.log_file) + # t1_incorrect_models = get_incorrect_models(1, args.log_file) + # initial_failures = initial_failures - t1_incorrect_models tasks_map = {} for model_path in initial_failures: @@ -295,7 +297,8 @@ def generate_initial_tasks(args): } max_subgraph_size = args.max_subgraph_size - return tasks_map, max_subgraph_size + running_states = {"pass_0": {"incorrect_models": list(initial_failures)}} + return tasks_map, max_subgraph_size, running_states def generate_refined_tasks(base_output_dir, current_pass_id): @@ -306,13 +309,14 @@ def generate_refined_tasks(base_output_dir, current_pass_id): prev_config = load_decompose_config(prev_pass_dir) prev_incorrect_subgraphs = prev_config.get("incorrect_models", []) prev_tasks_map = prev_config.get("tasks_map", {}) + running_states = prev_config.get("running_states", {}) # Load previous max size as fallback prev_max_subgraph_size = prev_config.get("max_subgraph_size") max_subgraph_size = prev_max_subgraph_size // 2 if not prev_incorrect_subgraphs: - return {}, max_subgraph_size + return {}, max_subgraph_size, running_states tasks_map = {} for subgraph_path in prev_incorrect_subgraphs: @@ -339,14 +343,14 @@ def generate_refined_tasks(base_output_dir, current_pass_id): "split_positions": set(), } - return tasks_map, max_subgraph_size + return tasks_map, max_subgraph_size, running_states def prepare_tasks_and_verify(args, current_pass_id, base_output_dir): if current_pass_id == 0: - tasks_map, max_subgraph_size = generate_initial_tasks(args) + tasks_map, max_subgraph_size, running_states = generate_initial_tasks(args) else: - tasks_map, max_subgraph_size = generate_refined_tasks( + tasks_map, max_subgraph_size, running_states = generate_refined_tasks( base_output_dir, current_pass_id ) @@ -366,7 +370,7 @@ def prepare_tasks_and_verify(args, current_pass_id, base_output_dir): ) sys.exit(0) - return tasks_map, max_subgraph_size + return tasks_map, max_subgraph_size, running_states def execute_decomposition_phase(max_subgraph_size, tasks_map, framework, workspace): @@ -440,7 +444,7 @@ def main(args): print("=" * 80) # --- Step 1: Prepare Tasks and Workspace --- - tasks_map, max_subgraph_size = prepare_tasks_and_verify( + tasks_map, max_subgraph_size, running_states = prepare_tasks_and_verify( args, current_pass_id, base_output_dir ) pass_work_dir = get_decompose_workspace_path(base_output_dir, current_pass_id) @@ -448,7 +452,6 @@ def main(args): os.makedirs(pass_work_dir, exist_ok=True) # --- Step 2: Decomposition --- - failed_decomposition = [] if task_controller.task_scheduler["run_decomposer"]: print("\n--- Phase 1: Decomposition ---", flush=True) ( @@ -458,11 +461,14 @@ def main(args): ) = execute_decomposition_phase( max_subgraph_size, tasks_map, args.framework, pass_work_dir ) + running_states.get(f"pass_{current_pass_id}", {})[ + "failed_decomposition_models" + ] = list(failed_decomposition) else: config = load_decompose_config(pass_work_dir) max_subgraph_size = config["max_subgraph_size"] - failed_decomposition = config["failed_decomposition_models"] tasks_map = config.get("tasks_map", {}) + running_states = config.get("running_states", {}) # --- Step 3: Evaluation --- pass_log_path = os.path.join(pass_work_dir, "batch_test_result.log") @@ -476,6 +482,9 @@ def main(args): print("\n--- Phase 3: Analysis ---") next_round_models = get_incorrect_models(args.tolerance, pass_log_path) print(f"[Analysis] Found {len(next_round_models)} incorrect subgraphs.\n") + running_states[f"pass_{current_pass_id + 1}"] = { + "incorrect_models": list(next_round_models) + } print_summary_and_suggestion(next_round_models, max_subgraph_size) # --- Step 5: Save States --- @@ -484,7 +493,7 @@ def main(args): max_subgraph_size, tasks_map, next_round_models, - failed_decomposition, + running_states, ) From 5678f1c8c86326b8c267470a2510448cf8400692 Mon Sep 17 00:00:00 2001 From: Liu Yiqun Date: Wed, 3 Dec 2025 14:08:28 +0800 Subject: [PATCH 02/15] Define a dataclass DecomposeConfig. --- .../subgraph_decompose_and_evaluation_step.py | 121 +++++++++--------- 1 file changed, 57 insertions(+), 64 deletions(-) diff --git a/graph_net/subgraph_decompose_and_evaluation_step.py b/graph_net/subgraph_decompose_and_evaluation_step.py index c20f6d961..03b633f7a 100755 --- a/graph_net/subgraph_decompose_and_evaluation_step.py +++ b/graph_net/subgraph_decompose_and_evaluation_step.py @@ -7,7 +7,8 @@ import argparse import subprocess import glob -from typing import List, Set, Dict, Any, Union +from dataclasses import dataclass, field +from typing import List, Dict, Union from graph_net.analysis_util import get_incorrect_models from graph_net import path_utils @@ -18,6 +19,14 @@ def convert_b64_string_to_json(b64str): return json.loads(base64.b64decode(b64str).decode("utf-8")) +def convert_json_to_b64_string(config): + return base64.b64encode(json.dumps(config).encode()).decode() + + +def get_pass_name(pass_id): + return f"pass_{pass_id}" + + class TaskController: def __init__(self, args): self.root_output_dir = os.path.abspath(args.output_dir) @@ -82,6 +91,37 @@ def _print(self): print() +@dataclass +class DecomposeConfig: + max_subgraph_size: int = -1 + incorrect_models: List[str] = field(default_factory=list) + tasks_map: Dict[str, Union[int, str, list, dict]] = field(default_factory=dict) + running_states: Dict[str, Union[int, str, list, dict]] = field(default_factory=dict) + + def save(self, work_dir): + """Save the current config to a JSON file.""" + config_path = self.get_config_path(work_dir) + + with open(config_path, "w") as f: + json.dump(self.__dict__, f, indent=4) + print(f"\n[INFO] Save state to: {config_path}") + + @classmethod + def load(self, work_dir): + """Initialize a object from a JSON file.""" + config_path = self.get_config_path(work_dir) + if not os.path.exists(config_path): + raise FileNotFoundError(f"Missing configuration file: {config_path}") + + with open(config_path, "r") as f: + data = json.load(f) + return self(**data) + + @classmethod + def get_config_path(self, work_dir) -> str: + return os.path.join(work_dir, "decompose_config.json") + + def get_rectfied_model_path(model_path): graphnet_root = path_utils.get_graphnet_root() return os.path.join(graphnet_root, model_path.split("GraphNet/")[-1]) @@ -95,53 +135,10 @@ def count_samples(samples_dir): return num_samples -def get_decompose_config_path(output_dir: str) -> str: - """Returns the full path to the decompose configuration file.""" - return os.path.join(output_dir, "decompose_config.json") - - def get_decompose_workspace_path(output_dir, pass_id): return os.path.join(output_dir, f"pass_{pass_id}") -def load_decompose_config(work_dir: str) -> Dict[str, Any]: - """Loads the configuration file from the previous pass.""" - config_path = get_decompose_config_path(work_dir) - - if not os.path.exists(config_path): - raise FileNotFoundError(f"Missing configuration file: {config_path}") - with open(config_path, "r") as f: - return json.load(f) - - -def save_decompose_config( - workspace: str, - max_subgraph_size: int, - tasks_map: Dict[str, Union[int, str, list, dict]], - incorrect_paths: Union[List[str], Set[str]], - running_states: Dict[str, Union[int, str, list, dict]], -): - """Saves the current state to a JSON file.""" - - tasks_map_copy = {} - for model_name, task_info in tasks_map.items(): - tasks_map_copy[model_name] = {} - for key in ["original_path", "split_positions"]: - tasks_map_copy[model_name][key] = task_info[key] - - config = { - "max_subgraph_size": max_subgraph_size, - "incorrect_models": list(incorrect_paths), - "tasks_map": tasks_map_copy, - "running_states": running_states, - } - config_path = get_decompose_config_path(workspace) - - with open(config_path, "w") as f: - json.dump(config, f, indent=4) - print(f"\n[INFO] Save state to: {config_path}") - - def get_model_name_with_subgraph_tag(model_path): fields = model_path.rstrip("/").split(os.sep) pattern = r"^subgraph(_\d+)?$" @@ -172,9 +169,7 @@ def run_decomposer_for_single_model( }, }, } - decorator_config_b64 = base64.b64encode( - json.dumps(decorator_config).encode() - ).decode() + decorator_config_b64 = convert_json_to_b64_string(decorator_config) print( f"[Decomposition] model_path: {model_path}, split_positions: {split_positions}" @@ -290,7 +285,6 @@ def generate_initial_tasks(args): for model_path in initial_failures: model_name = get_model_name_with_subgraph_tag(model_path) tasks_map[model_name] = { - "subgraph_path": model_path, "original_path": model_path, "subgraph_size": [0, kMaxGraphSize], "split_positions": set(), @@ -306,13 +300,13 @@ def generate_refined_tasks(base_output_dir, current_pass_id): prev_pass_dir = get_decompose_workspace_path(base_output_dir, current_pass_id - 1) print(f"[Init] Resuming from Pass_{current_pass_id - 1} (Dir: {prev_pass_dir})...") - prev_config = load_decompose_config(prev_pass_dir) - prev_incorrect_subgraphs = prev_config.get("incorrect_models", []) - prev_tasks_map = prev_config.get("tasks_map", {}) - running_states = prev_config.get("running_states", {}) + prev_config = DecomposeConfig.load(prev_pass_dir) + prev_incorrect_subgraphs = prev_config.incorrect_models + prev_tasks_map = prev_config.tasks_map + running_states = prev_config.running_states # Load previous max size as fallback - prev_max_subgraph_size = prev_config.get("max_subgraph_size") + prev_max_subgraph_size = prev_config.max_subgraph_size max_subgraph_size = prev_max_subgraph_size // 2 if not prev_incorrect_subgraphs: @@ -337,7 +331,6 @@ def generate_refined_tasks(base_output_dir, current_pass_id): if model_name not in tasks_map: tasks_map[model_name] = { - "subgraph_path": subgraph_path, "original_path": pre_task_for_model["original_path"], "subgraph_size": subgraph_size[subgraph_idx], "split_positions": set(), @@ -465,10 +458,10 @@ def main(args): "failed_decomposition_models" ] = list(failed_decomposition) else: - config = load_decompose_config(pass_work_dir) - max_subgraph_size = config["max_subgraph_size"] - tasks_map = config.get("tasks_map", {}) - running_states = config.get("running_states", {}) + config = DecomposeConfig.load(pass_work_dir) + max_subgraph_size = config.max_subgraph_size + tasks_map = config.tasks_map + running_states = config.running_states # --- Step 3: Evaluation --- pass_log_path = os.path.join(pass_work_dir, "batch_test_result.log") @@ -488,13 +481,13 @@ def main(args): print_summary_and_suggestion(next_round_models, max_subgraph_size) # --- Step 5: Save States --- - save_decompose_config( - pass_work_dir, - max_subgraph_size, - tasks_map, - next_round_models, - running_states, + config = DecomposeConfig( + max_subgraph_size=max_subgraph_size, + incorrect_models=list(next_round_models), + tasks_map=tasks_map, + running_states=running_states, ) + config.save(pass_work_dir) if __name__ == "__main__": From 7d9581f7faee64ba05409736c9037af4296a0a62 Mon Sep 17 00:00:00 2001 From: Liu Yiqun Date: Wed, 3 Dec 2025 14:10:15 +0800 Subject: [PATCH 03/15] Fix a sample. --- .../subgraph_decompose_and_evaluation_step.py | 35 ++++++++++--------- .../Mask-RT-DETR-S/subgraph_14/input_meta.py | 4 +-- 2 files changed, 19 insertions(+), 20 deletions(-) diff --git a/graph_net/subgraph_decompose_and_evaluation_step.py b/graph_net/subgraph_decompose_and_evaluation_step.py index 03b633f7a..980bab0f6 100755 --- a/graph_net/subgraph_decompose_and_evaluation_step.py +++ b/graph_net/subgraph_decompose_and_evaluation_step.py @@ -278,8 +278,8 @@ def generate_initial_tasks(args): """Generates tasks for Pass 0 based on the initial log file.""" print(f"[Init] Pass 0: Reading from log file: {args.log_file}") initial_failures = get_incorrect_models(args.tolerance, args.log_file) - # t1_incorrect_models = get_incorrect_models(1, args.log_file) - # initial_failures = initial_failures - t1_incorrect_models + t1_incorrect_models = get_incorrect_models(1, args.log_file) + initial_failures = initial_failures - t1_incorrect_models tasks_map = {} for model_path in initial_failures: @@ -291,7 +291,12 @@ def generate_initial_tasks(args): } max_subgraph_size = args.max_subgraph_size - running_states = {"pass_0": {"incorrect_models": list(initial_failures)}} + running_states = { + "pass_0": { + "num_incorrect_models": len(initial_failures), + "incorrect_models": list(sorted(initial_failures)), + } + } return tasks_map, max_subgraph_size, running_states @@ -301,19 +306,14 @@ def generate_refined_tasks(base_output_dir, current_pass_id): print(f"[Init] Resuming from Pass_{current_pass_id - 1} (Dir: {prev_pass_dir})...") prev_config = DecomposeConfig.load(prev_pass_dir) - prev_incorrect_subgraphs = prev_config.incorrect_models - prev_tasks_map = prev_config.tasks_map - running_states = prev_config.running_states - - # Load previous max size as fallback - prev_max_subgraph_size = prev_config.max_subgraph_size - max_subgraph_size = prev_max_subgraph_size // 2 - - if not prev_incorrect_subgraphs: - return {}, max_subgraph_size, running_states + max_subgraph_size = prev_config.max_subgraph_size // 2 + if not prev_config.incorrect_models: + return {}, max_subgraph_size, prev_config.running_states tasks_map = {} - for subgraph_path in prev_incorrect_subgraphs: + prev_tasks_map = prev_config.tasks_map + + for subgraph_path in sorted(prev_config.incorrect_models): # Parse model name and subgraph index model_name_with_subgraph_idx = subgraph_path.rstrip("/").split(os.sep)[-1] model_name = "_".join(model_name_with_subgraph_idx.split("_")[:-1]) @@ -336,7 +336,7 @@ def generate_refined_tasks(base_output_dir, current_pass_id): "split_positions": set(), } - return tasks_map, max_subgraph_size, running_states + return tasks_map, max_subgraph_size, prev_config.running_states def prepare_tasks_and_verify(args, current_pass_id, base_output_dir): @@ -473,10 +473,11 @@ def main(args): next_round_models = set() if task_controller.task_scheduler["post_analysis"]: print("\n--- Phase 3: Analysis ---") - next_round_models = get_incorrect_models(args.tolerance, pass_log_path) + next_round_models = sorted(get_incorrect_models(args.tolerance, pass_log_path)) print(f"[Analysis] Found {len(next_round_models)} incorrect subgraphs.\n") running_states[f"pass_{current_pass_id + 1}"] = { - "incorrect_models": list(next_round_models) + "num_incorrect_models": len(next_round_models), + "incorrect_models": list(next_round_models), } print_summary_and_suggestion(next_round_models, max_subgraph_size) diff --git a/paddle_samples/PaddleX/Mask-RT-DETR-S/subgraph_14/input_meta.py b/paddle_samples/PaddleX/Mask-RT-DETR-S/subgraph_14/input_meta.py index 87587cc85..1076c8f59 100644 --- a/paddle_samples/PaddleX/Mask-RT-DETR-S/subgraph_14/input_meta.py +++ b/paddle_samples/PaddleX/Mask-RT-DETR-S/subgraph_14/input_meta.py @@ -217,9 +217,7 @@ class Program_weight_tensor_data_21: shape = [1, 8400, 4] dtype = "float32" min_val = float("-4.36945") - max_val = float("inf") - mean = float("inf") - std = float("nan") + max_val = float("5.0") data = None From 864e7b3dafb5e039c988a57e7466c9e93e31fdef Mon Sep 17 00:00:00 2001 From: Liu Yiqun Date: Wed, 3 Dec 2025 17:44:27 +0800 Subject: [PATCH 04/15] Record the number of original incorrect models. --- .../subgraph_decompose_and_evaluation_step.py | 47 ++++++++++++------- 1 file changed, 30 insertions(+), 17 deletions(-) diff --git a/graph_net/subgraph_decompose_and_evaluation_step.py b/graph_net/subgraph_decompose_and_evaluation_step.py index 133b9773b..683b360d9 100755 --- a/graph_net/subgraph_decompose_and_evaluation_step.py +++ b/graph_net/subgraph_decompose_and_evaluation_step.py @@ -28,8 +28,7 @@ def get_pass_name(pass_id): def get_ranged_incorrect_models(tolerance_args: List[int], log_path: str) -> set: - if not os.path.exists(log_path): - return set() + assert os.path.exists(log_path) t_start = tolerance_args[0] models_start = set(get_incorrect_models(t_start, log_path)) @@ -40,13 +39,10 @@ def get_ranged_incorrect_models(tolerance_args: List[int], log_path: str) -> set t_end = tolerance_args[1] models_end = set(get_incorrect_models(t_end, log_path)) - print(f"[Filter] Tolerance Range: {t_start} -> {t_end}") print( - f"[Filter] Fail({t_start}): {len(models_start)}, Fail({t_end}): {len(models_end)}" + f"[Init] number of incorrect models: {len(models_start)} (tolerance={t_start}) - {len(models_end)} (tolerance={t_end})" ) - - diff_set = models_start - models_end - return diff_set + return models_start - models_end class TaskController: @@ -326,6 +322,14 @@ def generate_initial_tasks(args): return tasks_map, max_subgraph_size, running_states +def extract_model_name_and_subgraph_idx(subgraph_path): + # Parse model name and subgraph index + model_name_with_subgraph_idx = subgraph_path.rstrip("/").split(os.sep)[-1] + model_name = "_".join(model_name_with_subgraph_idx.split("_")[:-1]) + subgraph_idx = int(model_name_with_subgraph_idx.split("_")[-1]) + return model_name, subgraph_idx + + def generate_refined_tasks(base_output_dir, current_pass_id): """Generates tasks for Pass > 0 based on previous pass results.""" prev_pass_dir = get_decompose_workspace_path(base_output_dir, current_pass_id - 1) @@ -340,10 +344,7 @@ def generate_refined_tasks(base_output_dir, current_pass_id): prev_tasks_map = prev_config.tasks_map for subgraph_path in sorted(prev_config.incorrect_models): - # Parse model name and subgraph index - model_name_with_subgraph_idx = subgraph_path.rstrip("/").split(os.sep)[-1] - model_name = "_".join(model_name_with_subgraph_idx.split("_")[:-1]) - subgraph_idx = int(model_name_with_subgraph_idx.split("_")[-1]) + model_name, subgraph_idx = extract_model_name_and_subgraph_idx(subgraph_path) assert model_name in prev_tasks_map pre_task_for_model = prev_tasks_map[model_name] @@ -382,11 +383,11 @@ def prepare_tasks_and_verify(args, current_pass_id, base_output_dir): base_output_dir, current_pass_id ) - print(f"[INFO] initial max_subgraph_size: {max_subgraph_size}") - print(f"[INFO] number of incorrect models: {len(tasks_map)}") - for model_name, task_info in tasks_map.items(): + print(f"[Init] initial max_subgraph_size: {max_subgraph_size}") + print(f"[Init] number of incorrect models: {len(tasks_map)}") + for idx, (model_name, task_info) in enumerate(tasks_map.items()): original_path = task_info["original_path"] - print(f"- {original_path}") + print(f"- [{idx}] {original_path}") if not tasks_map: print("[FINISHED] No models need processing.") @@ -525,12 +526,24 @@ def main(args): ) print(f"\n--- Phase 3: Analysis (torlance={tolerance}) ---") next_round_models = sorted(get_incorrect_models(tolerance, pass_log_path)) + original_model_paths = set( + [ + model_name + for subgraph_path in next_round_models + for model_name, _ in [ + extract_model_name_and_subgraph_idx(subgraph_path) + ] + ] + ) + running_states[f"pass_{current_pass_id + 1}"] = { - "num_incorrect_models": len(next_round_models), + "num_incorrect_models": len(original_model_paths), "incorrect_models": list(next_round_models), } - print(f"[Analysis] Found {len(next_round_models)} incorrect subgraphs.\n") + print( + f"[Analysis] Found {len(next_round_models)} incorrect subgraphs ({len(original_model_paths)} original models)." + ) for idx, model_path in enumerate(next_round_models): print(f"- [{idx}] {model_path}") From 4f954ce18d39aa93370c4365272346f5d32e25af Mon Sep 17 00:00:00 2001 From: Liu Yiqun Date: Fri, 5 Dec 2025 09:45:33 +0800 Subject: [PATCH 05/15] Add original_name for ResNet18. --- paddle_samples/PaddleX/ResNet18/input_meta.py | 1 + .../PaddleX/ResNet18/weight_meta.py | 155 +++++++++++++++--- 2 files changed, 132 insertions(+), 24 deletions(-) diff --git a/paddle_samples/PaddleX/ResNet18/input_meta.py b/paddle_samples/PaddleX/ResNet18/input_meta.py index 22400d235..cc8860d79 100644 --- a/paddle_samples/PaddleX/ResNet18/input_meta.py +++ b/paddle_samples/PaddleX/ResNet18/input_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_data_0: name = "data_0" + original_name = "var_145" shape = [64, 3, 224, 224] dtype = "float32" min_val = float("-2.1179") diff --git a/paddle_samples/PaddleX/ResNet18/weight_meta.py b/paddle_samples/PaddleX/ResNet18/weight_meta.py index 5b6f9972c..4ca4f293f 100644 --- a/paddle_samples/PaddleX/ResNet18/weight_meta.py +++ b/paddle_samples/PaddleX/ResNet18/weight_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_parameter_0: name = "parameter_0" + original_name = "linear_0.b_0" shape = [102] dtype = "float32" min_val = float("-0.00917972") @@ -11,6 +12,7 @@ class Program_weight_tensor_parameter_0: class Program_weight_tensor_parameter_1: name = "parameter_1" + original_name = "linear_0.w_0" shape = [512, 102] dtype = "float32" min_val = float("-0.0651744") @@ -22,6 +24,7 @@ class Program_weight_tensor_parameter_1: class Program_weight_tensor_parameter_2: name = "parameter_2" + original_name = "batch_norm_20.b_0" shape = [512] dtype = "float32" min_val = float("0.0275836") @@ -33,6 +36,7 @@ class Program_weight_tensor_parameter_2: class Program_weight_tensor_parameter_3: name = "parameter_3" + original_name = "batch_norm_20.w_0" shape = [512] dtype = "float32" min_val = float("1.52942") @@ -44,6 +48,7 @@ class Program_weight_tensor_parameter_3: class Program_weight_tensor_parameter_4: name = "parameter_4" + original_name = "batch_norm_20.w_2" shape = [512] dtype = "float32" min_val = float("0.00931472") @@ -55,6 +60,7 @@ class Program_weight_tensor_parameter_4: class Program_weight_tensor_parameter_5: name = "parameter_5" + original_name = "batch_norm_20.w_1" shape = [512] dtype = "float32" min_val = float("-0.0467386") @@ -66,6 +72,7 @@ class Program_weight_tensor_parameter_5: class Program_weight_tensor_parameter_6: name = "parameter_6" + original_name = "conv2d_20.w_0" shape = [512, 512, 3, 3] dtype = "float32" min_val = float("-0.113482") @@ -77,6 +84,7 @@ class Program_weight_tensor_parameter_6: class Program_weight_tensor_parameter_7: name = "parameter_7" + original_name = "batch_norm_19.b_0" shape = [512] dtype = "float32" min_val = float("-0.551929") @@ -88,6 +96,7 @@ class Program_weight_tensor_parameter_7: class Program_weight_tensor_parameter_8: name = "parameter_8" + original_name = "batch_norm_19.w_0" shape = [512] dtype = "float32" min_val = float("0.0894387") @@ -99,6 +108,7 @@ class Program_weight_tensor_parameter_8: class Program_weight_tensor_parameter_9: name = "parameter_9" + original_name = "batch_norm_19.w_2" shape = [512] dtype = "float32" min_val = float("0.0555482") @@ -110,6 +120,7 @@ class Program_weight_tensor_parameter_9: class Program_weight_tensor_parameter_10: name = "parameter_10" + original_name = "batch_norm_19.w_1" shape = [512] dtype = "float32" min_val = float("-0.749277") @@ -121,6 +132,7 @@ class Program_weight_tensor_parameter_10: class Program_weight_tensor_parameter_11: name = "parameter_11" + original_name = "conv2d_19.w_0" shape = [512, 512, 3, 3] dtype = "float32" min_val = float("-0.319333") @@ -132,6 +144,7 @@ class Program_weight_tensor_parameter_11: class Program_weight_tensor_parameter_12: name = "parameter_12" + original_name = "batch_norm_18.b_0" shape = [512] dtype = "float32" min_val = float("-0.394103") @@ -143,6 +156,7 @@ class Program_weight_tensor_parameter_12: class Program_weight_tensor_parameter_13: name = "parameter_13" + original_name = "batch_norm_18.w_0" shape = [512] dtype = "float32" min_val = float("-0.0795484") @@ -154,6 +168,7 @@ class Program_weight_tensor_parameter_13: class Program_weight_tensor_parameter_14: name = "parameter_14" + original_name = "batch_norm_18.w_2" shape = [512] dtype = "float32" min_val = float("0.00203374") @@ -165,6 +180,7 @@ class Program_weight_tensor_parameter_14: class Program_weight_tensor_parameter_15: name = "parameter_15" + original_name = "batch_norm_18.w_1" shape = [512] dtype = "float32" min_val = float("-0.252108") @@ -176,6 +192,7 @@ class Program_weight_tensor_parameter_15: class Program_weight_tensor_parameter_16: name = "parameter_16" + original_name = "conv2d_18.w_0" shape = [512, 256, 1, 1] dtype = "float32" min_val = float("-0.908914") @@ -187,6 +204,7 @@ class Program_weight_tensor_parameter_16: class Program_weight_tensor_parameter_17: name = "parameter_17" + original_name = "batch_norm_17.b_0" shape = [512] dtype = "float32" min_val = float("-0.394103") @@ -198,6 +216,7 @@ class Program_weight_tensor_parameter_17: class Program_weight_tensor_parameter_18: name = "parameter_18" + original_name = "batch_norm_17.w_0" shape = [512] dtype = "float32" min_val = float("0.0886931") @@ -209,6 +228,7 @@ class Program_weight_tensor_parameter_18: class Program_weight_tensor_parameter_19: name = "parameter_19" + original_name = "batch_norm_17.w_2" shape = [512] dtype = "float32" min_val = float("0.00914284") @@ -220,6 +240,7 @@ class Program_weight_tensor_parameter_19: class Program_weight_tensor_parameter_20: name = "parameter_20" + original_name = "batch_norm_17.w_1" shape = [512] dtype = "float32" min_val = float("-0.314796") @@ -231,6 +252,7 @@ class Program_weight_tensor_parameter_20: class Program_weight_tensor_parameter_21: name = "parameter_21" + original_name = "conv2d_17.w_0" shape = [512, 512, 3, 3] dtype = "float32" min_val = float("-0.275482") @@ -242,6 +264,7 @@ class Program_weight_tensor_parameter_21: class Program_weight_tensor_parameter_22: name = "parameter_22" + original_name = "batch_norm_16.b_0" shape = [512] dtype = "float32" min_val = float("-0.72348") @@ -253,6 +276,7 @@ class Program_weight_tensor_parameter_22: class Program_weight_tensor_parameter_23: name = "parameter_23" + original_name = "batch_norm_16.w_0" shape = [512] dtype = "float32" min_val = float("0.119287") @@ -264,6 +288,7 @@ class Program_weight_tensor_parameter_23: class Program_weight_tensor_parameter_24: name = "parameter_24" + original_name = "batch_norm_16.w_2" shape = [512] dtype = "float32" min_val = float("0.0593178") @@ -275,6 +300,7 @@ class Program_weight_tensor_parameter_24: class Program_weight_tensor_parameter_25: name = "parameter_25" + original_name = "batch_norm_16.w_1" shape = [512] dtype = "float32" min_val = float("-1.33638") @@ -286,6 +312,7 @@ class Program_weight_tensor_parameter_25: class Program_weight_tensor_parameter_26: name = "parameter_26" + original_name = "conv2d_16.w_0" shape = [512, 256, 3, 3] dtype = "float32" min_val = float("-0.326124") @@ -297,6 +324,7 @@ class Program_weight_tensor_parameter_26: class Program_weight_tensor_parameter_27: name = "parameter_27" + original_name = "batch_norm_15.b_0" shape = [256] dtype = "float32" min_val = float("-0.664869") @@ -308,6 +336,7 @@ class Program_weight_tensor_parameter_27: class Program_weight_tensor_parameter_28: name = "parameter_28" + original_name = "batch_norm_15.w_0" shape = [256] dtype = "float32" min_val = float("-0.0259914") @@ -319,6 +348,7 @@ class Program_weight_tensor_parameter_28: class Program_weight_tensor_parameter_29: name = "parameter_29" + original_name = "batch_norm_15.w_2" shape = [256] dtype = "float32" min_val = float("0.00549062") @@ -330,6 +360,7 @@ class Program_weight_tensor_parameter_29: class Program_weight_tensor_parameter_30: name = "parameter_30" + original_name = "batch_norm_15.w_1" shape = [256] dtype = "float32" min_val = float("-0.573859") @@ -341,6 +372,7 @@ class Program_weight_tensor_parameter_30: class Program_weight_tensor_parameter_31: name = "parameter_31" + original_name = "conv2d_15.w_0" shape = [256, 256, 3, 3] dtype = "float32" min_val = float("-0.295601") @@ -352,6 +384,7 @@ class Program_weight_tensor_parameter_31: class Program_weight_tensor_parameter_32: name = "parameter_32" + original_name = "batch_norm_14.b_0" shape = [256] dtype = "float32" min_val = float("-0.701317") @@ -363,6 +396,7 @@ class Program_weight_tensor_parameter_32: class Program_weight_tensor_parameter_33: name = "parameter_33" + original_name = "batch_norm_14.w_0" shape = [256] dtype = "float32" min_val = float("0.13944") @@ -374,6 +408,7 @@ class Program_weight_tensor_parameter_33: class Program_weight_tensor_parameter_34: name = "parameter_34" + original_name = "batch_norm_14.w_2" shape = [256] dtype = "float32" min_val = float("0.0765543") @@ -385,6 +420,7 @@ class Program_weight_tensor_parameter_34: class Program_weight_tensor_parameter_35: name = "parameter_35" + original_name = "batch_norm_14.w_1" shape = [256] dtype = "float32" min_val = float("-2.66481") @@ -396,6 +432,7 @@ class Program_weight_tensor_parameter_35: class Program_weight_tensor_parameter_36: name = "parameter_36" + original_name = "conv2d_14.w_0" shape = [256, 256, 3, 3] dtype = "float32" min_val = float("-0.290243") @@ -407,6 +444,7 @@ class Program_weight_tensor_parameter_36: class Program_weight_tensor_parameter_37: name = "parameter_37" + original_name = "batch_norm_13.b_0" shape = [256] dtype = "float32" min_val = float("-0.367234") @@ -418,6 +456,7 @@ class Program_weight_tensor_parameter_37: class Program_weight_tensor_parameter_38: name = "parameter_38" + original_name = "batch_norm_13.w_0" shape = [256] dtype = "float32" min_val = float("0.0152404") @@ -429,6 +468,7 @@ class Program_weight_tensor_parameter_38: class Program_weight_tensor_parameter_39: name = "parameter_39" + original_name = "batch_norm_13.w_2" shape = [256] dtype = "float32" min_val = float("0.00260952") @@ -440,6 +480,7 @@ class Program_weight_tensor_parameter_39: class Program_weight_tensor_parameter_40: name = "parameter_40" + original_name = "batch_norm_13.w_1" shape = [256] dtype = "float32" min_val = float("-0.24504") @@ -451,6 +492,7 @@ class Program_weight_tensor_parameter_40: class Program_weight_tensor_parameter_41: name = "parameter_41" + original_name = "conv2d_13.w_0" shape = [256, 128, 1, 1] dtype = "float32" min_val = float("-0.263906") @@ -462,6 +504,7 @@ class Program_weight_tensor_parameter_41: class Program_weight_tensor_parameter_42: name = "parameter_42" + original_name = "batch_norm_12.b_0" shape = [256] dtype = "float32" min_val = float("-0.367234") @@ -473,6 +516,7 @@ class Program_weight_tensor_parameter_42: class Program_weight_tensor_parameter_43: name = "parameter_43" + original_name = "batch_norm_12.w_0" shape = [256] dtype = "float32" min_val = float("0.170457") @@ -484,6 +528,7 @@ class Program_weight_tensor_parameter_43: class Program_weight_tensor_parameter_44: name = "parameter_44" + original_name = "batch_norm_12.w_2" shape = [256] dtype = "float32" min_val = float("0.0423005") @@ -495,6 +540,7 @@ class Program_weight_tensor_parameter_44: class Program_weight_tensor_parameter_45: name = "parameter_45" + original_name = "batch_norm_12.w_1" shape = [256] dtype = "float32" min_val = float("-0.709179") @@ -506,6 +552,7 @@ class Program_weight_tensor_parameter_45: class Program_weight_tensor_parameter_46: name = "parameter_46" + original_name = "conv2d_12.w_0" shape = [256, 256, 3, 3] dtype = "float32" min_val = float("-0.396432") @@ -517,6 +564,7 @@ class Program_weight_tensor_parameter_46: class Program_weight_tensor_parameter_47: name = "parameter_47" + original_name = "batch_norm_11.b_0" shape = [256] dtype = "float32" min_val = float("-0.421766") @@ -528,6 +576,7 @@ class Program_weight_tensor_parameter_47: class Program_weight_tensor_parameter_48: name = "parameter_48" + original_name = "batch_norm_11.w_0" shape = [256] dtype = "float32" min_val = float("0.208535") @@ -539,6 +588,7 @@ class Program_weight_tensor_parameter_48: class Program_weight_tensor_parameter_49: name = "parameter_49" + original_name = "batch_norm_11.w_2" shape = [256] dtype = "float32" min_val = float("0.086291") @@ -550,6 +600,7 @@ class Program_weight_tensor_parameter_49: class Program_weight_tensor_parameter_50: name = "parameter_50" + original_name = "batch_norm_11.w_1" shape = [256] dtype = "float32" min_val = float("-1.26515") @@ -561,6 +612,7 @@ class Program_weight_tensor_parameter_50: class Program_weight_tensor_parameter_51: name = "parameter_51" + original_name = "conv2d_11.w_0" shape = [256, 128, 3, 3] dtype = "float32" min_val = float("-0.405646") @@ -572,6 +624,7 @@ class Program_weight_tensor_parameter_51: class Program_weight_tensor_parameter_52: name = "parameter_52" + original_name = "batch_norm_10.b_0" shape = [128] dtype = "float32" min_val = float("-0.532164") @@ -583,6 +636,7 @@ class Program_weight_tensor_parameter_52: class Program_weight_tensor_parameter_53: name = "parameter_53" + original_name = "batch_norm_10.w_0" shape = [128] dtype = "float32" min_val = float("0.0387377") @@ -594,6 +648,7 @@ class Program_weight_tensor_parameter_53: class Program_weight_tensor_parameter_54: name = "parameter_54" + original_name = "batch_norm_10.w_2" shape = [128] dtype = "float32" min_val = float("0.00614949") @@ -605,6 +660,7 @@ class Program_weight_tensor_parameter_54: class Program_weight_tensor_parameter_55: name = "parameter_55" + original_name = "batch_norm_10.w_1" shape = [128] dtype = "float32" min_val = float("-0.540636") @@ -616,6 +672,7 @@ class Program_weight_tensor_parameter_55: class Program_weight_tensor_parameter_56: name = "parameter_56" + original_name = "conv2d_10.w_0" shape = [128, 128, 3, 3] dtype = "float32" min_val = float("-0.361143") @@ -627,6 +684,7 @@ class Program_weight_tensor_parameter_56: class Program_weight_tensor_parameter_57: name = "parameter_57" + original_name = "batch_norm_9.b_0" shape = [128] dtype = "float32" min_val = float("-0.658581") @@ -638,6 +696,7 @@ class Program_weight_tensor_parameter_57: class Program_weight_tensor_parameter_58: name = "parameter_58" + original_name = "batch_norm_9.w_0" shape = [128] dtype = "float32" min_val = float("0.227461") @@ -649,6 +708,7 @@ class Program_weight_tensor_parameter_58: class Program_weight_tensor_parameter_59: name = "parameter_59" + original_name = "batch_norm_9.w_2" shape = [128] dtype = "float32" min_val = float("0.0856519") @@ -660,6 +720,7 @@ class Program_weight_tensor_parameter_59: class Program_weight_tensor_parameter_60: name = "parameter_60" + original_name = "batch_norm_9.w_1" shape = [128] dtype = "float32" min_val = float("-1.50869") @@ -671,6 +732,7 @@ class Program_weight_tensor_parameter_60: class Program_weight_tensor_parameter_61: name = "parameter_61" + original_name = "conv2d_9.w_0" shape = [128, 128, 3, 3] dtype = "float32" min_val = float("-0.338004") @@ -682,6 +744,7 @@ class Program_weight_tensor_parameter_61: class Program_weight_tensor_parameter_62: name = "parameter_62" + original_name = "batch_norm_8.b_0" shape = [128] dtype = "float32" min_val = float("-0.245089") @@ -693,6 +756,7 @@ class Program_weight_tensor_parameter_62: class Program_weight_tensor_parameter_63: name = "parameter_63" + original_name = "batch_norm_8.w_0" shape = [128] dtype = "float32" min_val = float("0.0152137") @@ -704,6 +768,7 @@ class Program_weight_tensor_parameter_63: class Program_weight_tensor_parameter_64: name = "parameter_64" + original_name = "batch_norm_8.w_2" shape = [128] dtype = "float32" min_val = float("0.00463106") @@ -715,6 +780,7 @@ class Program_weight_tensor_parameter_64: class Program_weight_tensor_parameter_65: name = "parameter_65" + original_name = "batch_norm_8.w_1" shape = [128] dtype = "float32" min_val = float("-0.384798") @@ -726,6 +792,7 @@ class Program_weight_tensor_parameter_65: class Program_weight_tensor_parameter_66: name = "parameter_66" + original_name = "conv2d_8.w_0" shape = [128, 64, 1, 1] dtype = "float32" min_val = float("-0.658175") @@ -737,6 +804,7 @@ class Program_weight_tensor_parameter_66: class Program_weight_tensor_parameter_67: name = "parameter_67" + original_name = "batch_norm_7.b_0" shape = [128] dtype = "float32" min_val = float("-0.245089") @@ -748,6 +816,7 @@ class Program_weight_tensor_parameter_67: class Program_weight_tensor_parameter_68: name = "parameter_68" + original_name = "batch_norm_7.w_0" shape = [128] dtype = "float32" min_val = float("0.0883116") @@ -759,6 +828,7 @@ class Program_weight_tensor_parameter_68: class Program_weight_tensor_parameter_69: name = "parameter_69" + original_name = "batch_norm_7.w_2" shape = [128] dtype = "float32" min_val = float("0.026159") @@ -770,6 +840,7 @@ class Program_weight_tensor_parameter_69: class Program_weight_tensor_parameter_70: name = "parameter_70" + original_name = "batch_norm_7.w_1" shape = [128] dtype = "float32" min_val = float("-0.704322") @@ -781,6 +852,7 @@ class Program_weight_tensor_parameter_70: class Program_weight_tensor_parameter_71: name = "parameter_71" + original_name = "conv2d_7.w_0" shape = [128, 128, 3, 3] dtype = "float32" min_val = float("-0.456589") @@ -792,6 +864,7 @@ class Program_weight_tensor_parameter_71: class Program_weight_tensor_parameter_72: name = "parameter_72" + original_name = "batch_norm_6.b_0" shape = [128] dtype = "float32" min_val = float("-0.329727") @@ -803,6 +876,7 @@ class Program_weight_tensor_parameter_72: class Program_weight_tensor_parameter_73: name = "parameter_73" + original_name = "batch_norm_6.w_0" shape = [128] dtype = "float32" min_val = float("0.190817") @@ -814,6 +888,7 @@ class Program_weight_tensor_parameter_73: class Program_weight_tensor_parameter_74: name = "parameter_74" + original_name = "batch_norm_6.w_2" shape = [128] dtype = "float32" min_val = float("0.172372") @@ -825,6 +900,7 @@ class Program_weight_tensor_parameter_74: class Program_weight_tensor_parameter_75: name = "parameter_75" + original_name = "batch_norm_6.w_1" shape = [128] dtype = "float32" min_val = float("-1.49122") @@ -836,6 +912,7 @@ class Program_weight_tensor_parameter_75: class Program_weight_tensor_parameter_76: name = "parameter_76" + original_name = "conv2d_6.w_0" shape = [128, 64, 3, 3] dtype = "float32" min_val = float("-0.415849") @@ -847,42 +924,47 @@ class Program_weight_tensor_parameter_76: class Program_weight_tensor_parameter_77: name = "parameter_77" + original_name = "batch_norm_5.b_0" shape = [64] dtype = "float32" - min_val = float("0") + min_val = float("0.0") max_val = float("0.5") data = None class Program_weight_tensor_parameter_78: name = "parameter_78" + original_name = "batch_norm_5.w_0" shape = [64] dtype = "float32" - min_val = float("0") + min_val = float("0.0") max_val = float("0.5") data = None class Program_weight_tensor_parameter_79: name = "parameter_79" + original_name = "batch_norm_5.w_2" shape = [64] dtype = "float32" - min_val = float("0") + min_val = float("0.0") max_val = float("0.5") data = None class Program_weight_tensor_parameter_80: name = "parameter_80" + original_name = "batch_norm_5.w_1" shape = [64] dtype = "float32" - min_val = float("0") + min_val = float("0.0") max_val = float("0.5") data = None class Program_weight_tensor_parameter_81: name = "parameter_81" + original_name = "conv2d_5.w_0" shape = [64, 64, 3, 3] dtype = "float32" min_val = float("-0.580664") @@ -894,42 +976,47 @@ class Program_weight_tensor_parameter_81: class Program_weight_tensor_parameter_82: name = "parameter_82" + original_name = "batch_norm_4.b_0" shape = [64] dtype = "float32" - min_val = float("0") + min_val = float("0.0") max_val = float("0.5") data = None class Program_weight_tensor_parameter_83: name = "parameter_83" + original_name = "batch_norm_4.w_0" shape = [64] dtype = "float32" - min_val = float("0") + min_val = float("0.0") max_val = float("0.5") data = None class Program_weight_tensor_parameter_84: name = "parameter_84" + original_name = "batch_norm_4.w_2" shape = [64] dtype = "float32" - min_val = float("0") + min_val = float("0.0") max_val = float("0.5") data = None class Program_weight_tensor_parameter_85: name = "parameter_85" + original_name = "batch_norm_4.w_1" shape = [64] dtype = "float32" - min_val = float("0") + min_val = float("0.0") max_val = float("0.5") data = None class Program_weight_tensor_parameter_86: name = "parameter_86" + original_name = "conv2d_4.w_0" shape = [64, 64, 3, 3] dtype = "float32" min_val = float("-0.372411") @@ -941,42 +1028,47 @@ class Program_weight_tensor_parameter_86: class Program_weight_tensor_parameter_87: name = "parameter_87" + original_name = "batch_norm_3.b_0" shape = [64] dtype = "float32" - min_val = float("0") + min_val = float("0.0") max_val = float("0.5") data = None class Program_weight_tensor_parameter_88: name = "parameter_88" + original_name = "batch_norm_3.w_0" shape = [64] dtype = "float32" - min_val = float("0") + min_val = float("0.0") max_val = float("0.5") data = None class Program_weight_tensor_parameter_89: name = "parameter_89" + original_name = "batch_norm_3.w_2" shape = [64] dtype = "float32" - min_val = float("0") + min_val = float("0.0") max_val = float("0.5") data = None class Program_weight_tensor_parameter_90: name = "parameter_90" + original_name = "batch_norm_3.w_1" shape = [64] dtype = "float32" - min_val = float("0") + min_val = float("0.0") max_val = float("0.5") data = None class Program_weight_tensor_parameter_91: name = "parameter_91" + original_name = "conv2d_3.w_0" shape = [64, 64, 1, 1] dtype = "float32" min_val = float("-0.645605") @@ -988,42 +1080,47 @@ class Program_weight_tensor_parameter_91: class Program_weight_tensor_parameter_92: name = "parameter_92" + original_name = "batch_norm_2.b_0" shape = [64] dtype = "float32" - min_val = float("0") + min_val = float("0.0") max_val = float("0.5") data = None class Program_weight_tensor_parameter_93: name = "parameter_93" + original_name = "batch_norm_2.w_0" shape = [64] dtype = "float32" - min_val = float("0") + min_val = float("0.0") max_val = float("0.5") data = None class Program_weight_tensor_parameter_94: name = "parameter_94" + original_name = "batch_norm_2.w_2" shape = [64] dtype = "float32" - min_val = float("0") + min_val = float("0.0") max_val = float("0.5") data = None class Program_weight_tensor_parameter_95: name = "parameter_95" + original_name = "batch_norm_2.w_1" shape = [64] dtype = "float32" - min_val = float("0") + min_val = float("0.0") max_val = float("0.5") data = None class Program_weight_tensor_parameter_96: name = "parameter_96" + original_name = "conv2d_2.w_0" shape = [64, 64, 3, 3] dtype = "float32" min_val = float("-0.428959") @@ -1035,42 +1132,47 @@ class Program_weight_tensor_parameter_96: class Program_weight_tensor_parameter_97: name = "parameter_97" + original_name = "batch_norm_1.b_0" shape = [64] dtype = "float32" - min_val = float("0") + min_val = float("0.0") max_val = float("0.5") data = None class Program_weight_tensor_parameter_98: name = "parameter_98" + original_name = "batch_norm_1.w_0" shape = [64] dtype = "float32" - min_val = float("0") + min_val = float("0.0") max_val = float("0.5") data = None class Program_weight_tensor_parameter_99: name = "parameter_99" + original_name = "batch_norm_1.w_2" shape = [64] dtype = "float32" - min_val = float("0") + min_val = float("0.0") max_val = float("0.5") data = None class Program_weight_tensor_parameter_100: name = "parameter_100" + original_name = "batch_norm_1.w_1" shape = [64] dtype = "float32" - min_val = float("0") + min_val = float("0.0") max_val = float("0.5") data = None class Program_weight_tensor_parameter_101: name = "parameter_101" + original_name = "conv2d_1.w_0" shape = [64, 64, 3, 3] dtype = "float32" min_val = float("-0.636645") @@ -1082,42 +1184,47 @@ class Program_weight_tensor_parameter_101: class Program_weight_tensor_parameter_102: name = "parameter_102" + original_name = "batch_norm_0.b_0" shape = [64] dtype = "float32" - min_val = float("0") + min_val = float("0.0") max_val = float("0.5") data = None class Program_weight_tensor_parameter_103: name = "parameter_103" + original_name = "batch_norm_0.w_0" shape = [64] dtype = "float32" - min_val = float("0") + min_val = float("0.0") max_val = float("0.5") data = None class Program_weight_tensor_parameter_104: name = "parameter_104" + original_name = "batch_norm_0.w_2" shape = [64] dtype = "float32" - min_val = float("0") + min_val = float("0.0") max_val = float("0.5") data = None class Program_weight_tensor_parameter_105: name = "parameter_105" + original_name = "batch_norm_0.w_1" shape = [64] dtype = "float32" - min_val = float("0") + min_val = float("0.0") max_val = float("0.5") data = None class Program_weight_tensor_parameter_106: name = "parameter_106" + original_name = "conv2d_0.w_0" shape = [64, 3, 7, 7] dtype = "float32" min_val = float("-0.687591") From 3b6c041d66dd8f7d973db2f12ed916d7dab2cc38 Mon Sep 17 00:00:00 2001 From: Liu Yiqun Date: Fri, 5 Dec 2025 13:11:19 +0800 Subject: [PATCH 06/15] Support use original tensor_meta to to recover the re-extracted samples. --- graph_net/imp_util.py | 3 +- graph_net/paddle/graph_meta_restorer.py | 153 +++++++++++++++++++++ graph_net/paddle/naive_graph_decomposer.py | 80 +++++++---- graph_net/paddle/run_model.py | 7 +- graph_net/paddle/utils.py | 12 +- 5 files changed, 215 insertions(+), 40 deletions(-) create mode 100644 graph_net/paddle/graph_meta_restorer.py diff --git a/graph_net/imp_util.py b/graph_net/imp_util.py index c307a4b61..6b4050078 100644 --- a/graph_net/imp_util.py +++ b/graph_net/imp_util.py @@ -1,3 +1,4 @@ +import os import importlib.util as imp @@ -6,5 +7,5 @@ def load_module(path, name="unnamed"): module = imp.module_from_spec(spec) module.__file__ = path spec.loader.exec_module(module) - module.__graph_net_file_path__ = path + module.__graph_net_file_path__ = os.path.normpath(path) return module diff --git a/graph_net/paddle/graph_meta_restorer.py b/graph_net/paddle/graph_meta_restorer.py new file mode 100644 index 000000000..f13ac2340 --- /dev/null +++ b/graph_net/paddle/graph_meta_restorer.py @@ -0,0 +1,153 @@ +import os +from graph_net import path_utils +from graph_net.paddle import utils + + +class GraphMetaRestorer: + def __init__(self, config, parent_model_path): + self.config = config + self.parent_model_path = parent_model_path + print(f"parent_model_path: {self.parent_model_path}") + + assert path_utils.is_single_model_dir( + parent_model_path + ), f"{parent_model_path=} is not a graphnet sample." + ( + parent_weight_meta_classes, + parent_input_meta_classes, + ) = self._load_weight_and_input_meta_classes(parent_model_path) + self.original_name2parent_weight_meta_class = self._convert_to_dict( + parent_weight_meta_classes + ) + self.original_name2parent_input_meta_class = self._convert_to_dict( + parent_input_meta_classes + ) + + def __call__(self, model_path): + assert path_utils.is_single_model_dir( + model_path + ), f"{model_path=} is not a graphnet sample." + ( + weight_meta_classes, + input_meta_classes, + ) = self._load_weight_and_input_meta_classes(model_path) + + assert self.config["update_inplace"] + is_weight_meta_fully_updated = self._update_by_original_name( + weight_meta_classes, self.original_name2parent_weight_meta_class + ) + if is_weight_meta_fully_updated: + new_weight_meta_codes = [] + for meta_class in weight_meta_classes: + new_weight_meta_codes.append( + self._generate_py_code_from_meta_class(meta_class) + ) + + weight_meta_file_path = os.path.join(model_path, "weight_meta.py") + if self.config["update_inplace"]: + print(f"[GraphMetaRestorer] Update {weight_meta_file_path}") + with open(weight_meta_file_path, "w") as f: + f.write("\n\n".join(new_weight_meta_codes)) + + is_input_meta_fully_updated = self._update_by_tensor_spec( + input_meta_classes, self.original_name2parent_input_meta_class + ) + if is_input_meta_fully_updated: + new_input_meta_codes = [] + for meta_class in input_meta_classes: + new_input_meta_codes.append( + self._generate_py_code_from_meta_class(meta_class) + ) + + input_meta_file_path = os.path.join(model_path, "input_meta.py") + if self.config["update_inplace"]: + print(f"[GraphMetaRestorer] Update {input_meta_file_path}") + with open(input_meta_file_path, "w") as f: + f.write("\n\n".join(new_input_meta_codes)) + + def _load_weight_and_input_meta_classes(self, model_path): + weight_meta_file_path = os.path.join(model_path, "weight_meta.py") + weight_meta_classes = [ + meta_class + for (name, meta_class) in utils.get_meta_classes(weight_meta_file_path) + ] + + input_meta_file_path = os.path.join(model_path, "input_meta.py") + input_meta_classes = [ + meta_class + for (name, meta_class) in utils.get_meta_classes(input_meta_file_path) + ] + + return weight_meta_classes, input_meta_classes + + def _convert_to_dict(self, meta_classes): + original_name2meta_class = {} + for meta_class in meta_classes: + assert meta_class.original_name not in original_name2meta_class.keys() + original_name2meta_class[meta_class.original_name] = meta_class + return original_name2meta_class + + def _update_tensor_meta(self, meta_class, parent_meta_class): + if ( + parent_meta_class + and meta_class.dtype == parent_meta_class.dtype + and meta_class.shape == parent_meta_class.shape + ): + for attr_name in ["max_val", "min_val", "mean", "std", "data"]: + if hasattr(meta_class, attr_name) or hasattr( + parent_meta_class, attr_name + ): + attr_value = getattr(parent_meta_class, attr_name, None) + setattr(meta_class, attr_name, attr_value) + return True + return False + + def _update_by_original_name(self, meta_classes, original_name2parent_meta_class): + updated_class_names = set() + for meta_class in meta_classes: + if not meta_class.original_name: + continue + + parent_meta_class = original_name2parent_meta_class.get( + meta_class.original_name, None + ) + if self._update_tensor_meta(meta_class, parent_meta_class): + updated_class_names.add(meta_class.name) + + print( + f"[GraphMetaRestorer] {len(updated_class_names)}/{len(meta_classes)} classes are updated." + ) + return len(meta_classes) == len(updated_class_names) + + def _update_by_tensor_spec(self, meta_classes, original_name2parent_meta_class): + updated_class_names = set() + for meta_class in meta_classes: + matched_parent_meta_class = [ + parent_meta_class + for parent_meta_class in original_name2parent_meta_class.values() + if meta_class.dtype == parent_meta_class.dtype + and meta_class.shape == parent_meta_class.shape + ] + if len(matched_parent_meta_class) == 1: + self._update_tensor_meta(meta_class, matched_parent_meta_class[0]) + updated_class_names.add(meta_class.name) + + print( + f"[GraphMetaRestorer] {len(updated_class_names)}/{len(meta_classes)} classes are updated." + ) + return len(meta_classes) == len(updated_class_names) + + def _generate_py_code_from_meta_class(self, meta_class): + lines = [f"class {meta_class.__name__}:"] + members = vars(meta_class) + members = {k: v for k, v in members.items() if not k.startswith("__")} + + if not members: + return lines[0] + "\n pass" + + for name, value in members.items(): + value_str = ( + f"float('{repr(value)}')" if isinstance(value, float) else repr(value) + ) + lines.append(f" {name} = {value_str}") + return "\n".join(lines) diff --git a/graph_net/paddle/naive_graph_decomposer.py b/graph_net/paddle/naive_graph_decomposer.py index 2700b7599..8300d9400 100644 --- a/graph_net/paddle/naive_graph_decomposer.py +++ b/graph_net/paddle/naive_graph_decomposer.py @@ -1,4 +1,7 @@ import os +from typing import List +import paddle +from graph_net import imp_util from graph_net.paddle.extractor import GraphExtractor as BuiltinGraphExtractor @@ -19,20 +22,31 @@ def __init__( def make_config( self, - split_positions=(), + split_positions=None, group_head_and_tail=False, chain_style=False, output_dir="./tmp/naive_decomposer_dir", + post_extract_process_path=None, + post_extract_process_class_name=None, + post_extract_process_config=None, ): - for pos in split_positions: + assert not chain_style, "chain_style=True is not supported now." + if split_positions is not None: assert isinstance( - pos, int - ), f"split_positions should be list of int, {split_positions=}" + split_positions, (tuple, list) + ), f"split_positions is expected to be tuple or list, but recived {split_positions=}" + for pos in split_positions: + assert isinstance( + pos, int + ), f"split_positions is expected to be tuple or list of int, but recived {split_positions=}" return { "split_positions": split_positions, "group_head_and_tail": group_head_and_tail, "chain_style": chain_style, "output_dir": output_dir, + "post_extract_process_path": post_extract_process_path, + "post_extract_process_class_name": post_extract_process_class_name, + "post_extract_process_config": post_extract_process_config, } def __call__(self, **input_dict): @@ -40,26 +54,35 @@ def __call__(self, **input_dict): return extracted_model def get_naive_decomposer_extractor(self): - return NaiveDecomposerExtractor(self) + return NaiveDecomposerExtractor( + config=self.config, + parent_model=self.model, + parent_model_name=self.name, + parent_input_spec=self.input_spec, + ) class NaiveDecomposerExtractor: - def __init__(self, parent_graph_extractor): - super().__init__() - self.parent_graph_extractor = parent_graph_extractor + def __init__( + self, + config: dict, + parent_model: paddle.nn.Layer, + parent_model_name: str, + parent_input_spec: List[paddle.static.InputSpec], + ): + self.config = config self.extracted = False + self.parent_model_path = os.path.dirname(parent_model.__graph_net_file_path__) self.builtin_extractor = BuiltinGraphExtractor( - model=parent_graph_extractor.model, - name=parent_graph_extractor.name, - dynamic=parent_graph_extractor.dynamic, - input_spec=parent_graph_extractor.input_spec, - workspace_path=self.parent_graph_extractor.config["output_dir"], + model=parent_model, + name=parent_model_name, + dynamic=False, + input_spec=parent_input_spec, + workspace_path=self.config["output_dir"], ) - self.split_positions = self.parent_graph_extractor.config["split_positions"] - self.group_head_and_tail = self.parent_graph_extractor.config[ - "group_head_and_tail" - ] - self.post_process = self.make_post_process(self.parent_graph_extractor.config) + self.split_positions = self.config["split_positions"] + self.group_head_and_tail = self.config["group_head_and_tail"] + self.post_extract_process = self.make_post_extract_process(self.config) def do_extract(self, **input_dict): # 1. Run the model to dump pir programs @@ -97,14 +120,17 @@ def __call__(self, **input_dict): if not self.extracted: extracted_model = self.do_extract(**input_dict) self.extracted = True - # if self.extracted: - # for subgraph_path in self.subgraph_path_list: - # self.post_process(subgraph_path) + + for subgraph_path in self.subgraph_path_list: + self._post_extract_process(subgraph_path) return extracted_model - def make_post_process(self, config): - return None - # if config["post_process_path"] is None: - # return None - # module = imp_util.load_module(config["post_process_path"]) - # return module.PostExtractProcess(config["post_process_config"]) + def _post_extract_process(self, subgraph_path): + return self.post_extract_process(subgraph_path) + + def make_post_extract_process(self, config): + if config.get("post_extract_process_path") is None: + return lambda *args, **kwargs: None + module = imp_util.load_module(config["post_extract_process_path"]) + cls = getattr(module, config["post_extract_process_class_name"]) + return cls(config["post_extract_process_config"], self.parent_model_path) diff --git a/graph_net/paddle/run_model.py b/graph_net/paddle/run_model.py index 7c873a9bb..31bcca508 100644 --- a/graph_net/paddle/run_model.py +++ b/graph_net/paddle/run_model.py @@ -1,9 +1,7 @@ import os -import sys import json import base64 import argparse -from typing import Type os.environ["FLAGS_logging_pir_py_code_dir"] = "/tmp/dump" @@ -16,6 +14,7 @@ def load_class_from_file(file_path: str, class_name: str): print(f"Load {class_name} from {file_path}") module = imp_util.load_module(file_path, "unnamed") model_class = getattr(module, class_name, None) + setattr(model_class, "__graph_net_file_path__", os.path.normpath(file_path)) return model_class @@ -26,7 +25,8 @@ def get_input_dict(model_path): state_dict = {} for k, v in params.items(): - state_dict[k] = paddle.nn.parameter.Parameter(utils.replay_tensor(v), name=k) + name = v["original_name"] if v.get("original_name", None) else k + state_dict[k] = paddle.nn.parameter.Parameter(utils.replay_tensor(v), name=name) for k, v in inputs.items(): state_dict[k] = utils.replay_tensor(v) return state_dict @@ -83,4 +83,5 @@ def main(args): help="decorator configuration string", ) args = parser.parse_args() + print(args) main(args=args) diff --git a/graph_net/paddle/utils.py b/graph_net/paddle/utils.py index 01aaa71d4..d6010fe2e 100644 --- a/graph_net/paddle/utils.py +++ b/graph_net/paddle/utils.py @@ -1,11 +1,4 @@ -import re -from collections import OrderedDict -import uuid -import json -import os -import argparse import importlib -import inspect import ast import math import numpy as np @@ -141,7 +134,7 @@ def convert_to_valid_number(data_type, value): def convert_meta_classes_to_tensors(file_path): current_device = paddle.device.get_device() - for name, cls in _get_classes(file_path): + for name, cls in get_meta_classes(file_path): attrs = { k: v for k, v in cls.__dict__.items() @@ -169,10 +162,11 @@ def convert_meta_classes_to_tensors(file_path): }, "data": data_value, "name": attrs.get("name"), + "original_name": attrs.get("original_name", None), } -def _get_classes(file_path): +def get_meta_classes(file_path): with open(file_path, "r", encoding="utf-8") as f: tree = ast.parse(f.read(), filename=file_path) From a59fbbac4b7d5ee57b8739c7fb6ef2f9c43c3ab0 Mon Sep 17 00:00:00 2001 From: Liu Yiqun Date: Mon, 8 Dec 2025 10:04:22 +0800 Subject: [PATCH 07/15] Add original_name in meta for some paddle samples. --- .../DETR-R50/subgraph_11/input_meta.py | 40 ++ .../DETR-R50/subgraph_11/weight_meta.py | 413 ++++++++++++ .../DETR-R50/subgraph_22/input_meta.py | 40 ++ .../DETR-R50/subgraph_22/weight_meta.py | 413 ++++++++++++ .../subgraph_1/input_meta.py | 3 + .../subgraph_1/weight_meta.py | 530 +++++++++++++++ .../subgraph_21/input_meta.py | 3 + .../subgraph_21/weight_meta.py | 275 ++++++++ .../subgraph_2/input_meta.py | 25 + .../subgraph_2/weight_meta.py | 165 +++++ .../subgraph_0/input_meta.py | 1 + .../subgraph_0/weight_meta.py | 387 +++++++++++ .../subgraph_0/input_meta.py | 31 + .../subgraph_0/weight_meta.py | 506 +++++++++++++++ .../Nonstationary/subgraph_10/input_meta.py | 5 + .../Nonstationary/subgraph_10/weight_meta.py | 50 ++ .../Nonstationary/subgraph_11/input_meta.py | 5 + .../Nonstationary/subgraph_11/weight_meta.py | 50 ++ .../Nonstationary_ad/subgraph_0/input_meta.py | 2 + .../subgraph_0/weight_meta.py | 49 ++ .../Nonstationary_ad/subgraph_1/input_meta.py | 2 + .../subgraph_1/weight_meta.py | 49 ++ .../Nonstationary_ad/subgraph_2/input_meta.py | 2 + .../subgraph_2/weight_meta.py | 49 ++ .../PicoDet-L/subgraph_15/input_meta.py | 2 + .../PicoDet-L/subgraph_15/weight_meta.py | 522 +++++++++++++++ .../PicoDet-L/subgraph_7/input_meta.py | 2 + .../PicoDet-L/subgraph_7/weight_meta.py | 522 +++++++++++++++ .../PicoDet-M/subgraph_1/input_meta.py | 2 + .../PicoDet-M/subgraph_1/weight_meta.py | 522 +++++++++++++++ .../PicoDet-M/subgraph_13/input_meta.py | 2 + .../PicoDet-M/subgraph_13/weight_meta.py | 522 +++++++++++++++ paddle_samples/PaddleX/ResNet18/input_meta.py | 1 + .../PaddleX/ResNet18/weight_meta.py | 107 +++ .../PaddleX/SLANet/subgraph_0/input_meta.py | 1 + .../PaddleX/SLANet/subgraph_0/weight_meta.py | 373 +++++++++++ .../PaddleX/SLANet/subgraph_2/input_meta.py | 1 + .../PaddleX/SLANet/subgraph_2/weight_meta.py | 373 +++++++++++ .../SeaFormer_base/subgraph_1/input_meta.py | 33 + .../SeaFormer_base/subgraph_1/weight_meta.py | 551 ++++++++++++++++ .../SeaFormer_large/subgraph_0/input_meta.py | 37 ++ .../SeaFormer_large/subgraph_0/weight_meta.py | 608 ++++++++++++++++++ .../SeaFormer_small/subgraph_1/input_meta.py | 25 + .../SeaFormer_small/subgraph_1/weight_meta.py | 447 +++++++++++++ .../SeaFormer_tiny/subgraph_1/input_meta.py | 17 + .../SeaFormer_tiny/subgraph_1/weight_meta.py | 343 ++++++++++ .../StarNet-S2/subgraph_1/input_meta.py | 1 + .../StarNet-S2/subgraph_1/weight_meta.py | 234 +++++++ .../StarNet-S3/subgraph_2/input_meta.py | 1 + .../StarNet-S3/subgraph_2/weight_meta.py | 324 ++++++++++ .../StarNet-S4/subgraph_2/input_meta.py | 1 + .../StarNet-S4/subgraph_2/weight_meta.py | 450 +++++++++++++ .../ch_SVTRv2_rec/subgraph_12/input_meta.py | 1 + .../ch_SVTRv2_rec/subgraph_12/weight_meta.py | 64 ++ .../ch_SVTRv2_rec/subgraph_14/input_meta.py | 4 + .../ch_SVTRv2_rec/subgraph_14/weight_meta.py | 43 ++ .../ch_SVTRv2_rec/subgraph_8/input_meta.py | 4 + .../ch_SVTRv2_rec/subgraph_8/weight_meta.py | 43 ++ 58 files changed, 9278 insertions(+) diff --git a/paddle_samples/PaddleX/DETR-R50/subgraph_11/input_meta.py b/paddle_samples/PaddleX/DETR-R50/subgraph_11/input_meta.py index aceeae98e..89780a19a 100644 --- a/paddle_samples/PaddleX/DETR-R50/subgraph_11/input_meta.py +++ b/paddle_samples/PaddleX/DETR-R50/subgraph_11/input_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_data_0: name = "data_0" + original_name = "param_111" shape = [256, 768] dtype = "float32" min_val = float("-1.62911") @@ -11,6 +12,7 @@ class Program_weight_tensor_data_0: class Program_weight_tensor_data_1: name = "data_1" + original_name = "param_112" shape = [768] dtype = "float32" min_val = float("-0.207838") @@ -22,6 +24,7 @@ class Program_weight_tensor_data_1: class Program_weight_tensor_data_2: name = "data_2" + original_name = "param_113" shape = [256, 768] dtype = "float32" min_val = float("-0.61818") @@ -33,6 +36,7 @@ class Program_weight_tensor_data_2: class Program_weight_tensor_data_3: name = "data_3" + original_name = "param_114" shape = [768] dtype = "float32" min_val = float("-0.0816622") @@ -44,6 +48,7 @@ class Program_weight_tensor_data_3: class Program_weight_tensor_data_4: name = "data_4" + original_name = "param_115" shape = [256, 768] dtype = "float32" min_val = float("-1.209") @@ -55,6 +60,7 @@ class Program_weight_tensor_data_4: class Program_weight_tensor_data_5: name = "data_5" + original_name = "param_116" shape = [768] dtype = "float32" min_val = float("-0.100471") @@ -66,6 +72,7 @@ class Program_weight_tensor_data_5: class Program_weight_tensor_data_6: name = "data_6" + original_name = "param_117" shape = [256, 768] dtype = "float32" min_val = float("-1.53473") @@ -77,6 +84,7 @@ class Program_weight_tensor_data_6: class Program_weight_tensor_data_7: name = "data_7" + original_name = "param_118" shape = [768] dtype = "float32" min_val = float("-0.15172") @@ -88,6 +96,7 @@ class Program_weight_tensor_data_7: class Program_weight_tensor_data_8: name = "data_8" + original_name = "param_119" shape = [256, 768] dtype = "float32" min_val = float("-1.36483") @@ -99,6 +108,7 @@ class Program_weight_tensor_data_8: class Program_weight_tensor_data_9: name = "data_9" + original_name = "param_120" shape = [768] dtype = "float32" min_val = float("-0.0746685") @@ -110,6 +120,7 @@ class Program_weight_tensor_data_9: class Program_weight_tensor_data_10: name = "data_10" + original_name = "param_121" shape = [256, 768] dtype = "float32" min_val = float("-1.53118") @@ -121,6 +132,7 @@ class Program_weight_tensor_data_10: class Program_weight_tensor_data_11: name = "data_11" + original_name = "param_122" shape = [768] dtype = "float32" min_val = float("-0.0552873") @@ -132,6 +144,7 @@ class Program_weight_tensor_data_11: class Program_weight_tensor_data_12: name = "data_12" + original_name = "param_123" shape = [100, 256] dtype = "float32" min_val = float("-4.02637") @@ -143,6 +156,7 @@ class Program_weight_tensor_data_12: class Program_weight_tensor_data_13: name = "data_13" + original_name = "param_124" shape = [256, 768] dtype = "float32" min_val = float("-0.227613") @@ -154,6 +168,7 @@ class Program_weight_tensor_data_13: class Program_weight_tensor_data_14: name = "data_14" + original_name = "param_125" shape = [768] dtype = "float32" min_val = float("-0.306495") @@ -165,6 +180,7 @@ class Program_weight_tensor_data_14: class Program_weight_tensor_data_15: name = "data_15" + original_name = "param_126" shape = [256, 768] dtype = "float32" min_val = float("-1.2844") @@ -176,6 +192,7 @@ class Program_weight_tensor_data_15: class Program_weight_tensor_data_16: name = "data_16" + original_name = "param_127" shape = [768] dtype = "float32" min_val = float("-0.405472") @@ -187,6 +204,7 @@ class Program_weight_tensor_data_16: class Program_weight_tensor_data_17: name = "data_17" + original_name = "param_128" shape = [256, 768] dtype = "float32" min_val = float("-0.526879") @@ -198,6 +216,7 @@ class Program_weight_tensor_data_17: class Program_weight_tensor_data_18: name = "data_18" + original_name = "param_129" shape = [768] dtype = "float32" min_val = float("-0.19053") @@ -209,6 +228,7 @@ class Program_weight_tensor_data_18: class Program_weight_tensor_data_19: name = "data_19" + original_name = "param_130" shape = [256, 768] dtype = "float32" min_val = float("-1.84815") @@ -220,6 +240,7 @@ class Program_weight_tensor_data_19: class Program_weight_tensor_data_20: name = "data_20" + original_name = "param_131" shape = [768] dtype = "float32" min_val = float("-0.368145") @@ -231,6 +252,7 @@ class Program_weight_tensor_data_20: class Program_weight_tensor_data_21: name = "data_21" + original_name = "param_132" shape = [256, 768] dtype = "float32" min_val = float("-0.727683") @@ -242,6 +264,7 @@ class Program_weight_tensor_data_21: class Program_weight_tensor_data_22: name = "data_22" + original_name = "param_133" shape = [768] dtype = "float32" min_val = float("-0.138786") @@ -253,6 +276,7 @@ class Program_weight_tensor_data_22: class Program_weight_tensor_data_23: name = "data_23" + original_name = "param_134" shape = [256, 768] dtype = "float32" min_val = float("-2.28676") @@ -264,6 +288,7 @@ class Program_weight_tensor_data_23: class Program_weight_tensor_data_24: name = "data_24" + original_name = "param_135" shape = [768] dtype = "float32" min_val = float("-0.41317") @@ -275,6 +300,7 @@ class Program_weight_tensor_data_24: class Program_weight_tensor_data_25: name = "data_25" + original_name = "param_136" shape = [256, 768] dtype = "float32" min_val = float("-0.469093") @@ -286,6 +312,7 @@ class Program_weight_tensor_data_25: class Program_weight_tensor_data_26: name = "data_26" + original_name = "param_137" shape = [768] dtype = "float32" min_val = float("-0.229076") @@ -297,6 +324,7 @@ class Program_weight_tensor_data_26: class Program_weight_tensor_data_27: name = "data_27" + original_name = "param_138" shape = [256, 768] dtype = "float32" min_val = float("-1.69536") @@ -308,6 +336,7 @@ class Program_weight_tensor_data_27: class Program_weight_tensor_data_28: name = "data_28" + original_name = "param_139" shape = [768] dtype = "float32" min_val = float("-0.461248") @@ -319,6 +348,7 @@ class Program_weight_tensor_data_28: class Program_weight_tensor_data_29: name = "data_29" + original_name = "param_140" shape = [256, 768] dtype = "float32" min_val = float("-0.669767") @@ -330,6 +360,7 @@ class Program_weight_tensor_data_29: class Program_weight_tensor_data_30: name = "data_30" + original_name = "param_141" shape = [768] dtype = "float32" min_val = float("-0.201717") @@ -341,6 +372,7 @@ class Program_weight_tensor_data_30: class Program_weight_tensor_data_31: name = "data_31" + original_name = "param_142" shape = [256, 768] dtype = "float32" min_val = float("-2.39615") @@ -352,6 +384,7 @@ class Program_weight_tensor_data_31: class Program_weight_tensor_data_32: name = "data_32" + original_name = "param_143" shape = [768] dtype = "float32" min_val = float("-0.344924") @@ -363,6 +396,7 @@ class Program_weight_tensor_data_32: class Program_weight_tensor_data_33: name = "data_33" + original_name = "param_144" shape = [256, 768] dtype = "float32" min_val = float("-0.408574") @@ -374,6 +408,7 @@ class Program_weight_tensor_data_33: class Program_weight_tensor_data_34: name = "data_34" + original_name = "param_145" shape = [768] dtype = "float32" min_val = float("-0.317686") @@ -385,6 +420,7 @@ class Program_weight_tensor_data_34: class Program_weight_tensor_data_35: name = "data_35" + original_name = "param_146" shape = [256, 768] dtype = "float32" min_val = float("-2.3181") @@ -396,6 +432,7 @@ class Program_weight_tensor_data_35: class Program_weight_tensor_data_36: name = "data_36" + original_name = "param_147" shape = [768] dtype = "float32" min_val = float("-0.44711") @@ -407,6 +444,7 @@ class Program_weight_tensor_data_36: class Program_weight_tensor_data_37: name = "data_37" + original_name = "var_4405" shape = [4, 3, 1089, 1007] dtype = "float32" min_val = float("-2.1179") @@ -418,8 +456,10 @@ class Program_weight_tensor_data_37: class Program_weight_tensor_data_38: name = "data_38" + original_name = "var_4408" shape = [4, 1089, 1007] dtype = "float32" + min_val = float("0.0") max_val = float("1.0") mean = float("0.60675") std = float("0.488472") diff --git a/paddle_samples/PaddleX/DETR-R50/subgraph_11/weight_meta.py b/paddle_samples/PaddleX/DETR-R50/subgraph_11/weight_meta.py index a35bcbbf3..02d07de5a 100644 --- a/paddle_samples/PaddleX/DETR-R50/subgraph_11/weight_meta.py +++ b/paddle_samples/PaddleX/DETR-R50/subgraph_11/weight_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_parameter_0: name = "parameter_0" + original_name = "layer_norm_4.b_0_deepcopy_179" shape = [256] dtype = "float32" min_val = float("-0.393606") @@ -11,6 +12,7 @@ class Program_weight_tensor_parameter_0: class Program_weight_tensor_parameter_1: name = "parameter_1" + original_name = "layer_norm_4.w_0_deepcopy_178" shape = [256] dtype = "float32" min_val = float("0.534183") @@ -22,6 +24,7 @@ class Program_weight_tensor_parameter_1: class Program_weight_tensor_parameter_2: name = "parameter_2" + original_name = "linear_6.b_0_deepcopy_173" shape = [256] dtype = "float32" min_val = float("-0.0930677") @@ -33,6 +36,7 @@ class Program_weight_tensor_parameter_2: class Program_weight_tensor_parameter_3: name = "parameter_3" + original_name = "linear_6.w_0_deepcopy_172" shape = [2048, 256] dtype = "float32" min_val = float("-0.687348") @@ -44,6 +48,7 @@ class Program_weight_tensor_parameter_3: class Program_weight_tensor_parameter_4: name = "parameter_4" + original_name = "linear_5.b_0_deepcopy_171" shape = [2048] dtype = "float32" min_val = float("-0.302835") @@ -55,6 +60,7 @@ class Program_weight_tensor_parameter_4: class Program_weight_tensor_parameter_5: name = "parameter_5" + original_name = "linear_5.w_0_deepcopy_170" shape = [256, 2048] dtype = "float32" min_val = float("-0.561115") @@ -66,6 +72,7 @@ class Program_weight_tensor_parameter_5: class Program_weight_tensor_parameter_6: name = "parameter_6" + original_name = "layer_norm_3.b_0_deepcopy_177" shape = [256] dtype = "float32" min_val = float("-1.09289") @@ -77,6 +84,7 @@ class Program_weight_tensor_parameter_6: class Program_weight_tensor_parameter_7: name = "parameter_7" + original_name = "layer_norm_3.w_0_deepcopy_176" shape = [256] dtype = "float32" min_val = float("0.789222") @@ -88,6 +96,7 @@ class Program_weight_tensor_parameter_7: class Program_weight_tensor_parameter_8: name = "parameter_8" + original_name = "linear_4.b_0_deepcopy_169" shape = [256] dtype = "float32" min_val = float("-0.207467") @@ -99,6 +108,7 @@ class Program_weight_tensor_parameter_8: class Program_weight_tensor_parameter_9: name = "parameter_9" + original_name = "linear_4.w_0_deepcopy_168" shape = [256, 256] dtype = "float32" min_val = float("-0.508002") @@ -110,6 +120,7 @@ class Program_weight_tensor_parameter_9: class Program_weight_tensor_parameter_10: name = "parameter_10" + original_name = "layer_norm_2.b_0_deepcopy_175" shape = [256] dtype = "float32" min_val = float("-0.774813") @@ -121,6 +132,7 @@ class Program_weight_tensor_parameter_10: class Program_weight_tensor_parameter_11: name = "parameter_11" + original_name = "layer_norm_2.w_0_deepcopy_174" shape = [256] dtype = "float32" min_val = float("1.37211") @@ -132,6 +144,7 @@ class Program_weight_tensor_parameter_11: class Program_weight_tensor_parameter_12: name = "parameter_12" + original_name = "linear_3.b_0_deepcopy_165" shape = [256] dtype = "float32" min_val = float("-0.0270297") @@ -143,6 +156,7 @@ class Program_weight_tensor_parameter_12: class Program_weight_tensor_parameter_13: name = "parameter_13" + original_name = "linear_3.w_0_deepcopy_164" shape = [256, 256] dtype = "float32" min_val = float("-0.233458") @@ -154,6 +168,7 @@ class Program_weight_tensor_parameter_13: class Program_weight_tensor_parameter_14: name = "parameter_14" + original_name = "layer_norm_4.b_0_deepcopy_161" shape = [256] dtype = "float32" min_val = float("-0.437509") @@ -165,6 +180,7 @@ class Program_weight_tensor_parameter_14: class Program_weight_tensor_parameter_15: name = "parameter_15" + original_name = "layer_norm_4.w_0_deepcopy_160" shape = [256] dtype = "float32" min_val = float("0.509808") @@ -176,6 +192,7 @@ class Program_weight_tensor_parameter_15: class Program_weight_tensor_parameter_16: name = "parameter_16" + original_name = "linear_6.b_0_deepcopy_155" shape = [256] dtype = "float32" min_val = float("-0.172888") @@ -187,6 +204,7 @@ class Program_weight_tensor_parameter_16: class Program_weight_tensor_parameter_17: name = "parameter_17" + original_name = "linear_6.w_0_deepcopy_154" shape = [2048, 256] dtype = "float32" min_val = float("-0.749737") @@ -198,6 +216,7 @@ class Program_weight_tensor_parameter_17: class Program_weight_tensor_parameter_18: name = "parameter_18" + original_name = "linear_5.b_0_deepcopy_153" shape = [2048] dtype = "float32" min_val = float("-0.307084") @@ -209,6 +228,7 @@ class Program_weight_tensor_parameter_18: class Program_weight_tensor_parameter_19: name = "parameter_19" + original_name = "linear_5.w_0_deepcopy_152" shape = [256, 2048] dtype = "float32" min_val = float("-0.645936") @@ -220,6 +240,7 @@ class Program_weight_tensor_parameter_19: class Program_weight_tensor_parameter_20: name = "parameter_20" + original_name = "layer_norm_3.b_0_deepcopy_159" shape = [256] dtype = "float32" min_val = float("-1.42907") @@ -231,6 +252,7 @@ class Program_weight_tensor_parameter_20: class Program_weight_tensor_parameter_21: name = "parameter_21" + original_name = "layer_norm_3.w_0_deepcopy_158" shape = [256] dtype = "float32" min_val = float("0.654022") @@ -242,6 +264,7 @@ class Program_weight_tensor_parameter_21: class Program_weight_tensor_parameter_22: name = "parameter_22" + original_name = "linear_4.b_0_deepcopy_151" shape = [256] dtype = "float32" min_val = float("-0.31666") @@ -253,6 +276,7 @@ class Program_weight_tensor_parameter_22: class Program_weight_tensor_parameter_23: name = "parameter_23" + original_name = "linear_4.w_0_deepcopy_150" shape = [256, 256] dtype = "float32" min_val = float("-0.502922") @@ -264,6 +288,7 @@ class Program_weight_tensor_parameter_23: class Program_weight_tensor_parameter_24: name = "parameter_24" + original_name = "layer_norm_2.b_0_deepcopy_157" shape = [256] dtype = "float32" min_val = float("-0.99306") @@ -275,6 +300,7 @@ class Program_weight_tensor_parameter_24: class Program_weight_tensor_parameter_25: name = "parameter_25" + original_name = "layer_norm_2.w_0_deepcopy_156" shape = [256] dtype = "float32" min_val = float("1.46486") @@ -286,6 +312,7 @@ class Program_weight_tensor_parameter_25: class Program_weight_tensor_parameter_26: name = "parameter_26" + original_name = "linear_3.b_0_deepcopy_147" shape = [256] dtype = "float32" min_val = float("-0.053566") @@ -297,6 +324,7 @@ class Program_weight_tensor_parameter_26: class Program_weight_tensor_parameter_27: name = "parameter_27" + original_name = "linear_3.w_0_deepcopy_146" shape = [256, 256] dtype = "float32" min_val = float("-0.20228") @@ -308,6 +336,7 @@ class Program_weight_tensor_parameter_27: class Program_weight_tensor_parameter_28: name = "parameter_28" + original_name = "layer_norm_4.b_0_deepcopy_143" shape = [256] dtype = "float32" min_val = float("-0.677336") @@ -319,6 +348,7 @@ class Program_weight_tensor_parameter_28: class Program_weight_tensor_parameter_29: name = "parameter_29" + original_name = "layer_norm_4.w_0_deepcopy_142" shape = [256] dtype = "float32" min_val = float("0.560339") @@ -330,6 +360,7 @@ class Program_weight_tensor_parameter_29: class Program_weight_tensor_parameter_30: name = "parameter_30" + original_name = "linear_6.b_0_deepcopy_137" shape = [256] dtype = "float32" min_val = float("-0.255957") @@ -341,6 +372,7 @@ class Program_weight_tensor_parameter_30: class Program_weight_tensor_parameter_31: name = "parameter_31" + original_name = "linear_6.w_0_deepcopy_136" shape = [2048, 256] dtype = "float32" min_val = float("-0.829293") @@ -352,6 +384,7 @@ class Program_weight_tensor_parameter_31: class Program_weight_tensor_parameter_32: name = "parameter_32" + original_name = "linear_5.b_0_deepcopy_135" shape = [2048] dtype = "float32" min_val = float("-0.345106") @@ -363,6 +396,7 @@ class Program_weight_tensor_parameter_32: class Program_weight_tensor_parameter_33: name = "parameter_33" + original_name = "linear_5.w_0_deepcopy_134" shape = [256, 2048] dtype = "float32" min_val = float("-0.597944") @@ -374,6 +408,7 @@ class Program_weight_tensor_parameter_33: class Program_weight_tensor_parameter_34: name = "parameter_34" + original_name = "layer_norm_3.b_0_deepcopy_141" shape = [256] dtype = "float32" min_val = float("-1.46915") @@ -385,6 +420,7 @@ class Program_weight_tensor_parameter_34: class Program_weight_tensor_parameter_35: name = "parameter_35" + original_name = "layer_norm_3.w_0_deepcopy_140" shape = [256] dtype = "float32" min_val = float("0.656565") @@ -396,6 +432,7 @@ class Program_weight_tensor_parameter_35: class Program_weight_tensor_parameter_36: name = "parameter_36" + original_name = "linear_4.b_0_deepcopy_133" shape = [256] dtype = "float32" min_val = float("-0.49468") @@ -407,6 +444,7 @@ class Program_weight_tensor_parameter_36: class Program_weight_tensor_parameter_37: name = "parameter_37" + original_name = "linear_4.w_0_deepcopy_132" shape = [256, 256] dtype = "float32" min_val = float("-0.479399") @@ -418,6 +456,7 @@ class Program_weight_tensor_parameter_37: class Program_weight_tensor_parameter_38: name = "parameter_38" + original_name = "layer_norm_2.b_0_deepcopy_139" shape = [256] dtype = "float32" min_val = float("-0.885259") @@ -429,6 +468,7 @@ class Program_weight_tensor_parameter_38: class Program_weight_tensor_parameter_39: name = "parameter_39" + original_name = "layer_norm_2.w_0_deepcopy_138" shape = [256] dtype = "float32" min_val = float("1.08333") @@ -440,6 +480,7 @@ class Program_weight_tensor_parameter_39: class Program_weight_tensor_parameter_40: name = "parameter_40" + original_name = "linear_3.b_0_deepcopy_129" shape = [256] dtype = "float32" min_val = float("-0.0893112") @@ -451,6 +492,7 @@ class Program_weight_tensor_parameter_40: class Program_weight_tensor_parameter_41: name = "parameter_41" + original_name = "linear_3.w_0_deepcopy_128" shape = [256, 256] dtype = "float32" min_val = float("-0.278605") @@ -462,6 +504,7 @@ class Program_weight_tensor_parameter_41: class Program_weight_tensor_parameter_42: name = "parameter_42" + original_name = "layer_norm_4.b_0_deepcopy_125" shape = [256] dtype = "float32" min_val = float("-0.44724") @@ -473,6 +516,7 @@ class Program_weight_tensor_parameter_42: class Program_weight_tensor_parameter_43: name = "parameter_43" + original_name = "layer_norm_4.w_0_deepcopy_124" shape = [256] dtype = "float32" min_val = float("0.466204") @@ -484,6 +528,7 @@ class Program_weight_tensor_parameter_43: class Program_weight_tensor_parameter_44: name = "parameter_44" + original_name = "linear_6.b_0_deepcopy_119" shape = [256] dtype = "float32" min_val = float("-0.324835") @@ -495,6 +540,7 @@ class Program_weight_tensor_parameter_44: class Program_weight_tensor_parameter_45: name = "parameter_45" + original_name = "linear_6.w_0_deepcopy_118" shape = [2048, 256] dtype = "float32" min_val = float("-0.505099") @@ -506,6 +552,7 @@ class Program_weight_tensor_parameter_45: class Program_weight_tensor_parameter_46: name = "parameter_46" + original_name = "linear_5.b_0_deepcopy_117" shape = [2048] dtype = "float32" min_val = float("-0.327804") @@ -517,6 +564,7 @@ class Program_weight_tensor_parameter_46: class Program_weight_tensor_parameter_47: name = "parameter_47" + original_name = "linear_5.w_0_deepcopy_116" shape = [256, 2048] dtype = "float32" min_val = float("-0.650782") @@ -528,6 +576,7 @@ class Program_weight_tensor_parameter_47: class Program_weight_tensor_parameter_48: name = "parameter_48" + original_name = "layer_norm_3.b_0_deepcopy_123" shape = [256] dtype = "float32" min_val = float("-1.65818") @@ -539,6 +588,7 @@ class Program_weight_tensor_parameter_48: class Program_weight_tensor_parameter_49: name = "parameter_49" + original_name = "layer_norm_3.w_0_deepcopy_122" shape = [256] dtype = "float32" min_val = float("0.628174") @@ -550,6 +600,7 @@ class Program_weight_tensor_parameter_49: class Program_weight_tensor_parameter_50: name = "parameter_50" + original_name = "linear_4.b_0_deepcopy_115" shape = [256] dtype = "float32" min_val = float("-0.581043") @@ -561,6 +612,7 @@ class Program_weight_tensor_parameter_50: class Program_weight_tensor_parameter_51: name = "parameter_51" + original_name = "linear_4.w_0_deepcopy_114" shape = [256, 256] dtype = "float32" min_val = float("-0.50434") @@ -572,6 +624,7 @@ class Program_weight_tensor_parameter_51: class Program_weight_tensor_parameter_52: name = "parameter_52" + original_name = "layer_norm_2.b_0_deepcopy_121" shape = [256] dtype = "float32" min_val = float("-0.912334") @@ -583,6 +636,7 @@ class Program_weight_tensor_parameter_52: class Program_weight_tensor_parameter_53: name = "parameter_53" + original_name = "layer_norm_2.w_0_deepcopy_120" shape = [256] dtype = "float32" min_val = float("0.939834") @@ -594,6 +648,7 @@ class Program_weight_tensor_parameter_53: class Program_weight_tensor_parameter_54: name = "parameter_54" + original_name = "linear_3.b_0_deepcopy_111" shape = [256] dtype = "float32" min_val = float("-0.110461") @@ -605,6 +660,7 @@ class Program_weight_tensor_parameter_54: class Program_weight_tensor_parameter_55: name = "parameter_55" + original_name = "linear_3.w_0_deepcopy_110" shape = [256, 256] dtype = "float32" min_val = float("-0.220587") @@ -616,6 +672,7 @@ class Program_weight_tensor_parameter_55: class Program_weight_tensor_parameter_56: name = "parameter_56" + original_name = "layer_norm_4.b_0_deepcopy_107" shape = [256] dtype = "float32" min_val = float("-0.637754") @@ -627,6 +684,7 @@ class Program_weight_tensor_parameter_56: class Program_weight_tensor_parameter_57: name = "parameter_57" + original_name = "layer_norm_4.w_0_deepcopy_106" shape = [256] dtype = "float32" min_val = float("0.397157") @@ -638,6 +696,7 @@ class Program_weight_tensor_parameter_57: class Program_weight_tensor_parameter_58: name = "parameter_58" + original_name = "linear_6.b_0_deepcopy_101" shape = [256] dtype = "float32" min_val = float("-0.428762") @@ -649,6 +708,7 @@ class Program_weight_tensor_parameter_58: class Program_weight_tensor_parameter_59: name = "parameter_59" + original_name = "linear_6.w_0_deepcopy_100" shape = [2048, 256] dtype = "float32" min_val = float("-0.603618") @@ -660,6 +720,7 @@ class Program_weight_tensor_parameter_59: class Program_weight_tensor_parameter_60: name = "parameter_60" + original_name = "linear_5.b_0_deepcopy_99" shape = [2048] dtype = "float32" min_val = float("-0.375293") @@ -671,6 +732,7 @@ class Program_weight_tensor_parameter_60: class Program_weight_tensor_parameter_61: name = "parameter_61" + original_name = "linear_5.w_0_deepcopy_98" shape = [256, 2048] dtype = "float32" min_val = float("-0.53905") @@ -682,6 +744,7 @@ class Program_weight_tensor_parameter_61: class Program_weight_tensor_parameter_62: name = "parameter_62" + original_name = "layer_norm_3.b_0_deepcopy_105" shape = [256] dtype = "float32" min_val = float("-2.10573") @@ -693,6 +756,7 @@ class Program_weight_tensor_parameter_62: class Program_weight_tensor_parameter_63: name = "parameter_63" + original_name = "layer_norm_3.w_0_deepcopy_104" shape = [256] dtype = "float32" min_val = float("0.531896") @@ -704,6 +768,7 @@ class Program_weight_tensor_parameter_63: class Program_weight_tensor_parameter_64: name = "parameter_64" + original_name = "linear_4.b_0_deepcopy_97" shape = [256] dtype = "float32" min_val = float("-0.543146") @@ -715,6 +780,7 @@ class Program_weight_tensor_parameter_64: class Program_weight_tensor_parameter_65: name = "parameter_65" + original_name = "linear_4.w_0_deepcopy_96" shape = [256, 256] dtype = "float32" min_val = float("-0.584439") @@ -726,6 +792,7 @@ class Program_weight_tensor_parameter_65: class Program_weight_tensor_parameter_66: name = "parameter_66" + original_name = "layer_norm_2.b_0_deepcopy_103" shape = [256] dtype = "float32" min_val = float("-0.960698") @@ -737,6 +804,7 @@ class Program_weight_tensor_parameter_66: class Program_weight_tensor_parameter_67: name = "parameter_67" + original_name = "layer_norm_2.w_0_deepcopy_102" shape = [256] dtype = "float32" min_val = float("0.476036") @@ -748,6 +816,7 @@ class Program_weight_tensor_parameter_67: class Program_weight_tensor_parameter_68: name = "parameter_68" + original_name = "linear_3.b_0_deepcopy_93" shape = [256] dtype = "float32" min_val = float("-0.198888") @@ -759,6 +828,7 @@ class Program_weight_tensor_parameter_68: class Program_weight_tensor_parameter_69: name = "parameter_69" + original_name = "linear_3.w_0_deepcopy_92" shape = [256, 256] dtype = "float32" min_val = float("-0.406782") @@ -770,6 +840,7 @@ class Program_weight_tensor_parameter_69: class Program_weight_tensor_parameter_70: name = "parameter_70" + original_name = "layer_norm_5.b_0" shape = [256] dtype = "float32" min_val = float("-0.498012") @@ -781,6 +852,7 @@ class Program_weight_tensor_parameter_70: class Program_weight_tensor_parameter_71: name = "parameter_71" + original_name = "layer_norm_5.w_0" shape = [256] dtype = "float32" min_val = float("0.105142") @@ -792,6 +864,7 @@ class Program_weight_tensor_parameter_71: class Program_weight_tensor_parameter_72: name = "parameter_72" + original_name = "layer_norm_4.b_0_deepcopy_89" shape = [256] dtype = "float32" min_val = float("-1.56306") @@ -803,6 +876,7 @@ class Program_weight_tensor_parameter_72: class Program_weight_tensor_parameter_73: name = "parameter_73" + original_name = "layer_norm_4.w_0_deepcopy_88" shape = [256] dtype = "float32" min_val = float("0.153433") @@ -814,6 +888,7 @@ class Program_weight_tensor_parameter_73: class Program_weight_tensor_parameter_74: name = "parameter_74" + original_name = "linear_6.b_0_deepcopy_83" shape = [256] dtype = "float32" min_val = float("-0.92351") @@ -825,6 +900,7 @@ class Program_weight_tensor_parameter_74: class Program_weight_tensor_parameter_75: name = "parameter_75" + original_name = "linear_6.w_0_deepcopy_82" shape = [2048, 256] dtype = "float32" min_val = float("-0.957782") @@ -836,6 +912,7 @@ class Program_weight_tensor_parameter_75: class Program_weight_tensor_parameter_76: name = "parameter_76" + original_name = "linear_5.b_0_deepcopy_81" shape = [2048] dtype = "float32" min_val = float("-0.281342") @@ -847,6 +924,7 @@ class Program_weight_tensor_parameter_76: class Program_weight_tensor_parameter_77: name = "parameter_77" + original_name = "linear_5.w_0_deepcopy_80" shape = [256, 2048] dtype = "float32" min_val = float("-1.16998") @@ -858,6 +936,7 @@ class Program_weight_tensor_parameter_77: class Program_weight_tensor_parameter_78: name = "parameter_78" + original_name = "layer_norm_3.b_0_deepcopy_87" shape = [256] dtype = "float32" min_val = float("-2.54761") @@ -869,6 +948,7 @@ class Program_weight_tensor_parameter_78: class Program_weight_tensor_parameter_79: name = "parameter_79" + original_name = "layer_norm_3.w_0_deepcopy_86" shape = [256] dtype = "float32" min_val = float("0.43429") @@ -880,6 +960,7 @@ class Program_weight_tensor_parameter_79: class Program_weight_tensor_parameter_80: name = "parameter_80" + original_name = "linear_4.b_0_deepcopy_79" shape = [256] dtype = "float32" min_val = float("-0.572173") @@ -891,6 +972,7 @@ class Program_weight_tensor_parameter_80: class Program_weight_tensor_parameter_81: name = "parameter_81" + original_name = "linear_4.w_0_deepcopy_78" shape = [256, 256] dtype = "float32" min_val = float("-0.972572") @@ -902,6 +984,7 @@ class Program_weight_tensor_parameter_81: class Program_weight_tensor_parameter_82: name = "parameter_82" + original_name = "layer_norm_2.b_0_deepcopy_85" shape = [256] dtype = "float32" min_val = float("-1.12158") @@ -913,6 +996,7 @@ class Program_weight_tensor_parameter_82: class Program_weight_tensor_parameter_83: name = "parameter_83" + original_name = "layer_norm_2.w_0_deepcopy_84" shape = [256] dtype = "float32" min_val = float("-0.0289606") @@ -924,6 +1008,7 @@ class Program_weight_tensor_parameter_83: class Program_weight_tensor_parameter_84: name = "parameter_84" + original_name = "linear_3.b_0_deepcopy_75" shape = [256] dtype = "float32" min_val = float("-1.59156") @@ -935,6 +1020,7 @@ class Program_weight_tensor_parameter_84: class Program_weight_tensor_parameter_85: name = "parameter_85" + original_name = "linear_3.w_0_deepcopy_74" shape = [256, 256] dtype = "float32" min_val = float("-2.14517") @@ -946,6 +1032,7 @@ class Program_weight_tensor_parameter_85: class Program_weight_tensor_parameter_86: name = "parameter_86" + original_name = "layer_norm_1.b_0_deepcopy_71" shape = [256] dtype = "float32" min_val = float("-1.06961") @@ -957,6 +1044,7 @@ class Program_weight_tensor_parameter_86: class Program_weight_tensor_parameter_87: name = "parameter_87" + original_name = "layer_norm_1.w_0_deepcopy_70" shape = [256] dtype = "float32" min_val = float("0.00117219") @@ -968,6 +1056,7 @@ class Program_weight_tensor_parameter_87: class Program_weight_tensor_parameter_88: name = "parameter_88" + original_name = "linear_2.b_0_deepcopy_67" shape = [256] dtype = "float32" min_val = float("-0.18949") @@ -979,6 +1068,7 @@ class Program_weight_tensor_parameter_88: class Program_weight_tensor_parameter_89: name = "parameter_89" + original_name = "linear_2.w_0_deepcopy_66" shape = [2048, 256] dtype = "float32" min_val = float("-1.09642") @@ -990,6 +1080,7 @@ class Program_weight_tensor_parameter_89: class Program_weight_tensor_parameter_90: name = "parameter_90" + original_name = "linear_1.b_0_deepcopy_65" shape = [2048] dtype = "float32" min_val = float("-0.182248") @@ -1001,6 +1092,7 @@ class Program_weight_tensor_parameter_90: class Program_weight_tensor_parameter_91: name = "parameter_91" + original_name = "linear_1.w_0_deepcopy_64" shape = [256, 2048] dtype = "float32" min_val = float("-0.635699") @@ -1012,6 +1104,7 @@ class Program_weight_tensor_parameter_91: class Program_weight_tensor_parameter_92: name = "parameter_92" + original_name = "layer_norm_0.b_0_deepcopy_69" shape = [256] dtype = "float32" min_val = float("-1.50176") @@ -1023,6 +1116,7 @@ class Program_weight_tensor_parameter_92: class Program_weight_tensor_parameter_93: name = "parameter_93" + original_name = "layer_norm_0.w_0_deepcopy_68" shape = [256] dtype = "float32" min_val = float("0.344257") @@ -1034,6 +1128,7 @@ class Program_weight_tensor_parameter_93: class Program_weight_tensor_parameter_94: name = "parameter_94" + original_name = "linear_0.b_0_deepcopy_63" shape = [256] dtype = "float32" min_val = float("-0.224362") @@ -1045,6 +1140,7 @@ class Program_weight_tensor_parameter_94: class Program_weight_tensor_parameter_95: name = "parameter_95" + original_name = "linear_0.w_0_deepcopy_62" shape = [256, 256] dtype = "float32" min_val = float("-0.573256") @@ -1056,6 +1152,7 @@ class Program_weight_tensor_parameter_95: class Program_weight_tensor_parameter_96: name = "parameter_96" + original_name = "layer_norm_1.b_0_deepcopy_59" shape = [256] dtype = "float32" min_val = float("-0.400476") @@ -1067,6 +1164,7 @@ class Program_weight_tensor_parameter_96: class Program_weight_tensor_parameter_97: name = "parameter_97" + original_name = "layer_norm_1.w_0_deepcopy_58" shape = [256] dtype = "float32" min_val = float("-0.0106021") @@ -1078,6 +1176,7 @@ class Program_weight_tensor_parameter_97: class Program_weight_tensor_parameter_98: name = "parameter_98" + original_name = "linear_2.b_0_deepcopy_55" shape = [256] dtype = "float32" min_val = float("-0.380283") @@ -1089,6 +1188,7 @@ class Program_weight_tensor_parameter_98: class Program_weight_tensor_parameter_99: name = "parameter_99" + original_name = "linear_2.w_0_deepcopy_54" shape = [2048, 256] dtype = "float32" min_val = float("-1.42454") @@ -1100,6 +1200,7 @@ class Program_weight_tensor_parameter_99: class Program_weight_tensor_parameter_100: name = "parameter_100" + original_name = "linear_1.b_0_deepcopy_53" shape = [2048] dtype = "float32" min_val = float("-0.168541") @@ -1111,6 +1212,7 @@ class Program_weight_tensor_parameter_100: class Program_weight_tensor_parameter_101: name = "parameter_101" + original_name = "linear_1.w_0_deepcopy_52" shape = [256, 2048] dtype = "float32" min_val = float("-0.672177") @@ -1122,6 +1224,7 @@ class Program_weight_tensor_parameter_101: class Program_weight_tensor_parameter_102: name = "parameter_102" + original_name = "layer_norm_0.b_0_deepcopy_57" shape = [256] dtype = "float32" min_val = float("-2.06637") @@ -1133,6 +1236,7 @@ class Program_weight_tensor_parameter_102: class Program_weight_tensor_parameter_103: name = "parameter_103" + original_name = "layer_norm_0.w_0_deepcopy_56" shape = [256] dtype = "float32" min_val = float("0.09338") @@ -1144,6 +1248,7 @@ class Program_weight_tensor_parameter_103: class Program_weight_tensor_parameter_104: name = "parameter_104" + original_name = "linear_0.b_0_deepcopy_51" shape = [256] dtype = "float32" min_val = float("-0.726799") @@ -1155,6 +1260,7 @@ class Program_weight_tensor_parameter_104: class Program_weight_tensor_parameter_105: name = "parameter_105" + original_name = "linear_0.w_0_deepcopy_50" shape = [256, 256] dtype = "float32" min_val = float("-0.439525") @@ -1166,6 +1272,7 @@ class Program_weight_tensor_parameter_105: class Program_weight_tensor_parameter_106: name = "parameter_106" + original_name = "layer_norm_1.b_0_deepcopy_47" shape = [256] dtype = "float32" min_val = float("-0.753734") @@ -1177,6 +1284,7 @@ class Program_weight_tensor_parameter_106: class Program_weight_tensor_parameter_107: name = "parameter_107" + original_name = "layer_norm_1.w_0_deepcopy_46" shape = [256] dtype = "float32" min_val = float("-0.0042221") @@ -1188,6 +1296,7 @@ class Program_weight_tensor_parameter_107: class Program_weight_tensor_parameter_108: name = "parameter_108" + original_name = "linear_2.b_0_deepcopy_43" shape = [256] dtype = "float32" min_val = float("-0.512378") @@ -1199,6 +1308,7 @@ class Program_weight_tensor_parameter_108: class Program_weight_tensor_parameter_109: name = "parameter_109" + original_name = "linear_2.w_0_deepcopy_42" shape = [2048, 256] dtype = "float32" min_val = float("-1.47297") @@ -1210,6 +1320,7 @@ class Program_weight_tensor_parameter_109: class Program_weight_tensor_parameter_110: name = "parameter_110" + original_name = "linear_1.b_0_deepcopy_41" shape = [2048] dtype = "float32" min_val = float("-0.157579") @@ -1221,6 +1332,7 @@ class Program_weight_tensor_parameter_110: class Program_weight_tensor_parameter_111: name = "parameter_111" + original_name = "linear_1.w_0_deepcopy_40" shape = [256, 2048] dtype = "float32" min_val = float("-0.559903") @@ -1232,6 +1344,7 @@ class Program_weight_tensor_parameter_111: class Program_weight_tensor_parameter_112: name = "parameter_112" + original_name = "layer_norm_0.b_0_deepcopy_45" shape = [256] dtype = "float32" min_val = float("-1.91219") @@ -1243,6 +1356,7 @@ class Program_weight_tensor_parameter_112: class Program_weight_tensor_parameter_113: name = "parameter_113" + original_name = "layer_norm_0.w_0_deepcopy_44" shape = [256] dtype = "float32" min_val = float("0.1281") @@ -1254,6 +1368,7 @@ class Program_weight_tensor_parameter_113: class Program_weight_tensor_parameter_114: name = "parameter_114" + original_name = "linear_0.b_0_deepcopy_39" shape = [256] dtype = "float32" min_val = float("-0.806181") @@ -1265,6 +1380,7 @@ class Program_weight_tensor_parameter_114: class Program_weight_tensor_parameter_115: name = "parameter_115" + original_name = "linear_0.w_0_deepcopy_38" shape = [256, 256] dtype = "float32" min_val = float("-0.588744") @@ -1276,6 +1392,7 @@ class Program_weight_tensor_parameter_115: class Program_weight_tensor_parameter_116: name = "parameter_116" + original_name = "layer_norm_1.b_0_deepcopy_35" shape = [256] dtype = "float32" min_val = float("-1.00989") @@ -1287,6 +1404,7 @@ class Program_weight_tensor_parameter_116: class Program_weight_tensor_parameter_117: name = "parameter_117" + original_name = "layer_norm_1.w_0_deepcopy_34" shape = [256] dtype = "float32" min_val = float("0.00390956") @@ -1298,6 +1416,7 @@ class Program_weight_tensor_parameter_117: class Program_weight_tensor_parameter_118: name = "parameter_118" + original_name = "linear_2.b_0_deepcopy_31" shape = [256] dtype = "float32" min_val = float("-0.587601") @@ -1309,6 +1428,7 @@ class Program_weight_tensor_parameter_118: class Program_weight_tensor_parameter_119: name = "parameter_119" + original_name = "linear_2.w_0_deepcopy_30" shape = [2048, 256] dtype = "float32" min_val = float("-1.27436") @@ -1320,6 +1440,7 @@ class Program_weight_tensor_parameter_119: class Program_weight_tensor_parameter_120: name = "parameter_120" + original_name = "linear_1.b_0_deepcopy_29" shape = [2048] dtype = "float32" min_val = float("-0.174539") @@ -1331,6 +1452,7 @@ class Program_weight_tensor_parameter_120: class Program_weight_tensor_parameter_121: name = "parameter_121" + original_name = "linear_1.w_0_deepcopy_28" shape = [256, 2048] dtype = "float32" min_val = float("-0.689368") @@ -1342,6 +1464,7 @@ class Program_weight_tensor_parameter_121: class Program_weight_tensor_parameter_122: name = "parameter_122" + original_name = "layer_norm_0.b_0_deepcopy_33" shape = [256] dtype = "float32" min_val = float("-1.76535") @@ -1353,6 +1476,7 @@ class Program_weight_tensor_parameter_122: class Program_weight_tensor_parameter_123: name = "parameter_123" + original_name = "layer_norm_0.w_0_deepcopy_32" shape = [256] dtype = "float32" min_val = float("0.232512") @@ -1364,6 +1488,7 @@ class Program_weight_tensor_parameter_123: class Program_weight_tensor_parameter_124: name = "parameter_124" + original_name = "linear_0.b_0_deepcopy_27" shape = [256] dtype = "float32" min_val = float("-0.705961") @@ -1375,6 +1500,7 @@ class Program_weight_tensor_parameter_124: class Program_weight_tensor_parameter_125: name = "parameter_125" + original_name = "linear_0.w_0_deepcopy_26" shape = [256, 256] dtype = "float32" min_val = float("-0.440233") @@ -1386,6 +1512,7 @@ class Program_weight_tensor_parameter_125: class Program_weight_tensor_parameter_126: name = "parameter_126" + original_name = "layer_norm_1.b_0_deepcopy_23" shape = [256] dtype = "float32" min_val = float("-0.922987") @@ -1397,6 +1524,7 @@ class Program_weight_tensor_parameter_126: class Program_weight_tensor_parameter_127: name = "parameter_127" + original_name = "layer_norm_1.w_0_deepcopy_22" shape = [256] dtype = "float32" min_val = float("0.00548535") @@ -1408,6 +1536,7 @@ class Program_weight_tensor_parameter_127: class Program_weight_tensor_parameter_128: name = "parameter_128" + original_name = "linear_2.b_0_deepcopy_19" shape = [256] dtype = "float32" min_val = float("-0.704669") @@ -1419,6 +1548,7 @@ class Program_weight_tensor_parameter_128: class Program_weight_tensor_parameter_129: name = "parameter_129" + original_name = "linear_2.w_0_deepcopy_18" shape = [2048, 256] dtype = "float32" min_val = float("-1.67542") @@ -1430,6 +1560,7 @@ class Program_weight_tensor_parameter_129: class Program_weight_tensor_parameter_130: name = "parameter_130" + original_name = "linear_1.b_0_deepcopy_17" shape = [2048] dtype = "float32" min_val = float("-0.157592") @@ -1441,6 +1572,7 @@ class Program_weight_tensor_parameter_130: class Program_weight_tensor_parameter_131: name = "parameter_131" + original_name = "linear_1.w_0_deepcopy_16" shape = [256, 2048] dtype = "float32" min_val = float("-0.724592") @@ -1452,6 +1584,7 @@ class Program_weight_tensor_parameter_131: class Program_weight_tensor_parameter_132: name = "parameter_132" + original_name = "layer_norm_0.b_0_deepcopy_21" shape = [256] dtype = "float32" min_val = float("-1.83753") @@ -1463,6 +1596,7 @@ class Program_weight_tensor_parameter_132: class Program_weight_tensor_parameter_133: name = "parameter_133" + original_name = "layer_norm_0.w_0_deepcopy_20" shape = [256] dtype = "float32" min_val = float("0.231114") @@ -1474,6 +1608,7 @@ class Program_weight_tensor_parameter_133: class Program_weight_tensor_parameter_134: name = "parameter_134" + original_name = "linear_0.b_0_deepcopy_15" shape = [256] dtype = "float32" min_val = float("-0.725201") @@ -1485,6 +1620,7 @@ class Program_weight_tensor_parameter_134: class Program_weight_tensor_parameter_135: name = "parameter_135" + original_name = "linear_0.w_0_deepcopy_14" shape = [256, 256] dtype = "float32" min_val = float("-0.412943") @@ -1496,6 +1632,7 @@ class Program_weight_tensor_parameter_135: class Program_weight_tensor_parameter_136: name = "parameter_136" + original_name = "layer_norm_1.b_0_deepcopy_11" shape = [256] dtype = "float32" min_val = float("-0.800024") @@ -1507,6 +1644,7 @@ class Program_weight_tensor_parameter_136: class Program_weight_tensor_parameter_137: name = "parameter_137" + original_name = "layer_norm_1.w_0_deepcopy_10" shape = [256] dtype = "float32" min_val = float("0.187009") @@ -1518,6 +1656,7 @@ class Program_weight_tensor_parameter_137: class Program_weight_tensor_parameter_138: name = "parameter_138" + original_name = "linear_2.b_0_deepcopy_7" shape = [256] dtype = "float32" min_val = float("-0.461249") @@ -1529,6 +1668,7 @@ class Program_weight_tensor_parameter_138: class Program_weight_tensor_parameter_139: name = "parameter_139" + original_name = "linear_2.w_0_deepcopy_6" shape = [2048, 256] dtype = "float32" min_val = float("-1.5039") @@ -1540,6 +1680,7 @@ class Program_weight_tensor_parameter_139: class Program_weight_tensor_parameter_140: name = "parameter_140" + original_name = "linear_1.b_0_deepcopy_5" shape = [2048] dtype = "float32" min_val = float("-0.174725") @@ -1551,6 +1692,7 @@ class Program_weight_tensor_parameter_140: class Program_weight_tensor_parameter_141: name = "parameter_141" + original_name = "linear_1.w_0_deepcopy_4" shape = [256, 2048] dtype = "float32" min_val = float("-0.664555") @@ -1562,6 +1704,7 @@ class Program_weight_tensor_parameter_141: class Program_weight_tensor_parameter_142: name = "parameter_142" + original_name = "layer_norm_0.b_0_deepcopy_9" shape = [256] dtype = "float32" min_val = float("-1.50014") @@ -1573,6 +1716,7 @@ class Program_weight_tensor_parameter_142: class Program_weight_tensor_parameter_143: name = "parameter_143" + original_name = "layer_norm_0.w_0_deepcopy_8" shape = [256] dtype = "float32" min_val = float("0.437227") @@ -1584,6 +1728,7 @@ class Program_weight_tensor_parameter_143: class Program_weight_tensor_parameter_144: name = "parameter_144" + original_name = "linear_0.b_0_deepcopy_3" shape = [256] dtype = "float32" min_val = float("-0.798674") @@ -1595,6 +1740,7 @@ class Program_weight_tensor_parameter_144: class Program_weight_tensor_parameter_145: name = "parameter_145" + original_name = "linear_0.w_0_deepcopy_2" shape = [256, 256] dtype = "float32" min_val = float("-0.583947") @@ -1606,6 +1752,7 @@ class Program_weight_tensor_parameter_145: class Program_weight_tensor_parameter_146: name = "parameter_146" + original_name = "conv2d_53.b_0" shape = [256] dtype = "float32" min_val = float("-0.344535") @@ -1617,6 +1764,7 @@ class Program_weight_tensor_parameter_146: class Program_weight_tensor_parameter_147: name = "parameter_147" + original_name = "conv2d_53.w_0" shape = [256, 2048, 1, 1] dtype = "float32" min_val = float("-1.03344") @@ -1628,6 +1776,7 @@ class Program_weight_tensor_parameter_147: class Program_weight_tensor_parameter_148: name = "parameter_148" + original_name = "batch_norm2d_52.b_0" shape = [2048] dtype = "float32" min_val = float("-0.150417") @@ -1639,6 +1788,7 @@ class Program_weight_tensor_parameter_148: class Program_weight_tensor_parameter_149: name = "parameter_149" + original_name = "batch_norm2d_52.w_0" shape = [2048] dtype = "float32" min_val = float("0.112357") @@ -1650,6 +1800,7 @@ class Program_weight_tensor_parameter_149: class Program_weight_tensor_parameter_150: name = "parameter_150" + original_name = "batch_norm2d_52.w_2" shape = [2048] dtype = "float32" min_val = float("4.58401e-05") @@ -1661,6 +1812,7 @@ class Program_weight_tensor_parameter_150: class Program_weight_tensor_parameter_151: name = "parameter_151" + original_name = "batch_norm2d_52.w_1" shape = [2048] dtype = "float32" min_val = float("-0.0298089") @@ -1672,6 +1824,7 @@ class Program_weight_tensor_parameter_151: class Program_weight_tensor_parameter_152: name = "parameter_152" + original_name = "conv2d_52.w_0" shape = [2048, 512, 1, 1] dtype = "float32" min_val = float("-0.152876") @@ -1683,6 +1836,7 @@ class Program_weight_tensor_parameter_152: class Program_weight_tensor_parameter_153: name = "parameter_153" + original_name = "batch_norm2d_51.b_0" shape = [512] dtype = "float32" min_val = float("-0.293918") @@ -1694,6 +1848,7 @@ class Program_weight_tensor_parameter_153: class Program_weight_tensor_parameter_154: name = "parameter_154" + original_name = "batch_norm2d_51.w_0" shape = [512] dtype = "float32" min_val = float("0.134363") @@ -1705,6 +1860,7 @@ class Program_weight_tensor_parameter_154: class Program_weight_tensor_parameter_155: name = "parameter_155" + original_name = "batch_norm2d_51.w_2" shape = [512] dtype = "float32" min_val = float("0.00773641") @@ -1716,6 +1872,7 @@ class Program_weight_tensor_parameter_155: class Program_weight_tensor_parameter_156: name = "parameter_156" + original_name = "batch_norm2d_51.w_1" shape = [512] dtype = "float32" min_val = float("-0.148122") @@ -1727,6 +1884,7 @@ class Program_weight_tensor_parameter_156: class Program_weight_tensor_parameter_157: name = "parameter_157" + original_name = "conv2d_51.w_0" shape = [512, 512, 3, 3] dtype = "float32" min_val = float("-0.166308") @@ -1738,6 +1896,7 @@ class Program_weight_tensor_parameter_157: class Program_weight_tensor_parameter_158: name = "parameter_158" + original_name = "batch_norm2d_50.b_0" shape = [512] dtype = "float32" min_val = float("-0.334689") @@ -1749,6 +1908,7 @@ class Program_weight_tensor_parameter_158: class Program_weight_tensor_parameter_159: name = "parameter_159" + original_name = "batch_norm2d_50.w_0" shape = [512] dtype = "float32" min_val = float("0.112843") @@ -1760,6 +1920,7 @@ class Program_weight_tensor_parameter_159: class Program_weight_tensor_parameter_160: name = "parameter_160" + original_name = "batch_norm2d_50.w_2" shape = [512] dtype = "float32" min_val = float("0.189317") @@ -1771,6 +1932,7 @@ class Program_weight_tensor_parameter_160: class Program_weight_tensor_parameter_161: name = "parameter_161" + original_name = "batch_norm2d_50.w_1" shape = [512] dtype = "float32" min_val = float("-0.987256") @@ -1782,6 +1944,7 @@ class Program_weight_tensor_parameter_161: class Program_weight_tensor_parameter_162: name = "parameter_162" + original_name = "conv2d_50.w_0" shape = [512, 2048, 1, 1] dtype = "float32" min_val = float("-0.362403") @@ -1793,6 +1956,7 @@ class Program_weight_tensor_parameter_162: class Program_weight_tensor_parameter_163: name = "parameter_163" + original_name = "batch_norm2d_49.b_0" shape = [2048] dtype = "float32" min_val = float("-0.21598") @@ -1804,6 +1968,7 @@ class Program_weight_tensor_parameter_163: class Program_weight_tensor_parameter_164: name = "parameter_164" + original_name = "batch_norm2d_49.w_0" shape = [2048] dtype = "float32" min_val = float("0.129696") @@ -1815,6 +1980,7 @@ class Program_weight_tensor_parameter_164: class Program_weight_tensor_parameter_165: name = "parameter_165" + original_name = "batch_norm2d_49.w_2" shape = [2048] dtype = "float32" min_val = float("0.000190455") @@ -1826,6 +1992,7 @@ class Program_weight_tensor_parameter_165: class Program_weight_tensor_parameter_166: name = "parameter_166" + original_name = "batch_norm2d_49.w_1" shape = [2048] dtype = "float32" min_val = float("-0.156046") @@ -1837,6 +2004,7 @@ class Program_weight_tensor_parameter_166: class Program_weight_tensor_parameter_167: name = "parameter_167" + original_name = "conv2d_49.w_0" shape = [2048, 512, 1, 1] dtype = "float32" min_val = float("-0.187602") @@ -1848,6 +2016,7 @@ class Program_weight_tensor_parameter_167: class Program_weight_tensor_parameter_168: name = "parameter_168" + original_name = "batch_norm2d_48.b_0" shape = [512] dtype = "float32" min_val = float("-0.347685") @@ -1859,6 +2028,7 @@ class Program_weight_tensor_parameter_168: class Program_weight_tensor_parameter_169: name = "parameter_169" + original_name = "batch_norm2d_48.w_0" shape = [512] dtype = "float32" min_val = float("0.147304") @@ -1870,6 +2040,7 @@ class Program_weight_tensor_parameter_169: class Program_weight_tensor_parameter_170: name = "parameter_170" + original_name = "batch_norm2d_48.w_2" shape = [512] dtype = "float32" min_val = float("0.00819833") @@ -1881,6 +2052,7 @@ class Program_weight_tensor_parameter_170: class Program_weight_tensor_parameter_171: name = "parameter_171" + original_name = "batch_norm2d_48.w_1" shape = [512] dtype = "float32" min_val = float("-0.37926") @@ -1892,6 +2064,7 @@ class Program_weight_tensor_parameter_171: class Program_weight_tensor_parameter_172: name = "parameter_172" + original_name = "conv2d_48.w_0" shape = [512, 512, 3, 3] dtype = "float32" min_val = float("-0.242766") @@ -1903,6 +2076,7 @@ class Program_weight_tensor_parameter_172: class Program_weight_tensor_parameter_173: name = "parameter_173" + original_name = "batch_norm2d_47.b_0" shape = [512] dtype = "float32" min_val = float("-0.319738") @@ -1914,6 +2088,7 @@ class Program_weight_tensor_parameter_173: class Program_weight_tensor_parameter_174: name = "parameter_174" + original_name = "batch_norm2d_47.w_0" shape = [512] dtype = "float32" min_val = float("0.0941531") @@ -1925,6 +2100,7 @@ class Program_weight_tensor_parameter_174: class Program_weight_tensor_parameter_175: name = "parameter_175" + original_name = "batch_norm2d_47.w_2" shape = [512] dtype = "float32" min_val = float("0.0888968") @@ -1936,6 +2112,7 @@ class Program_weight_tensor_parameter_175: class Program_weight_tensor_parameter_176: name = "parameter_176" + original_name = "batch_norm2d_47.w_1" shape = [512] dtype = "float32" min_val = float("-0.878403") @@ -1947,6 +2124,7 @@ class Program_weight_tensor_parameter_176: class Program_weight_tensor_parameter_177: name = "parameter_177" + original_name = "conv2d_47.w_0" shape = [512, 2048, 1, 1] dtype = "float32" min_val = float("-0.389196") @@ -1958,6 +2136,7 @@ class Program_weight_tensor_parameter_177: class Program_weight_tensor_parameter_178: name = "parameter_178" + original_name = "batch_norm2d_46.b_0" shape = [2048] dtype = "float32" min_val = float("-0.140877") @@ -1969,6 +2148,7 @@ class Program_weight_tensor_parameter_178: class Program_weight_tensor_parameter_179: name = "parameter_179" + original_name = "batch_norm2d_46.w_0" shape = [2048] dtype = "float32" min_val = float("0.11185") @@ -1980,6 +2160,7 @@ class Program_weight_tensor_parameter_179: class Program_weight_tensor_parameter_180: name = "parameter_180" + original_name = "batch_norm2d_46.w_2" shape = [2048] dtype = "float32" min_val = float("0.00030292") @@ -1991,6 +2172,7 @@ class Program_weight_tensor_parameter_180: class Program_weight_tensor_parameter_181: name = "parameter_181" + original_name = "batch_norm2d_46.w_1" shape = [2048] dtype = "float32" min_val = float("-0.0978358") @@ -2002,6 +2184,7 @@ class Program_weight_tensor_parameter_181: class Program_weight_tensor_parameter_182: name = "parameter_182" + original_name = "conv2d_46.w_0" shape = [2048, 1024, 1, 1] dtype = "float32" min_val = float("-0.365452") @@ -2013,6 +2196,7 @@ class Program_weight_tensor_parameter_182: class Program_weight_tensor_parameter_183: name = "parameter_183" + original_name = "batch_norm2d_45.b_0" shape = [2048] dtype = "float32" min_val = float("-0.140877") @@ -2024,6 +2208,7 @@ class Program_weight_tensor_parameter_183: class Program_weight_tensor_parameter_184: name = "parameter_184" + original_name = "batch_norm2d_45.w_0" shape = [2048] dtype = "float32" min_val = float("0.0343876") @@ -2035,6 +2220,7 @@ class Program_weight_tensor_parameter_184: class Program_weight_tensor_parameter_185: name = "parameter_185" + original_name = "batch_norm2d_45.w_2" shape = [2048] dtype = "float32" min_val = float("0.000190366") @@ -2046,6 +2232,7 @@ class Program_weight_tensor_parameter_185: class Program_weight_tensor_parameter_186: name = "parameter_186" + original_name = "batch_norm2d_45.w_1" shape = [2048] dtype = "float32" min_val = float("-0.124208") @@ -2057,6 +2244,7 @@ class Program_weight_tensor_parameter_186: class Program_weight_tensor_parameter_187: name = "parameter_187" + original_name = "conv2d_45.w_0" shape = [2048, 512, 1, 1] dtype = "float32" min_val = float("-0.232874") @@ -2068,6 +2256,7 @@ class Program_weight_tensor_parameter_187: class Program_weight_tensor_parameter_188: name = "parameter_188" + original_name = "batch_norm2d_44.b_0" shape = [512] dtype = "float32" min_val = float("-0.187468") @@ -2079,6 +2268,7 @@ class Program_weight_tensor_parameter_188: class Program_weight_tensor_parameter_189: name = "parameter_189" + original_name = "batch_norm2d_44.w_0" shape = [512] dtype = "float32" min_val = float("0.14926") @@ -2090,6 +2280,7 @@ class Program_weight_tensor_parameter_189: class Program_weight_tensor_parameter_190: name = "parameter_190" + original_name = "batch_norm2d_44.w_2" shape = [512] dtype = "float32" min_val = float("0.00845713") @@ -2101,6 +2292,7 @@ class Program_weight_tensor_parameter_190: class Program_weight_tensor_parameter_191: name = "parameter_191" + original_name = "batch_norm2d_44.w_1" shape = [512] dtype = "float32" min_val = float("-0.14583") @@ -2112,6 +2304,7 @@ class Program_weight_tensor_parameter_191: class Program_weight_tensor_parameter_192: name = "parameter_192" + original_name = "conv2d_44.w_0" shape = [512, 512, 3, 3] dtype = "float32" min_val = float("-0.355212") @@ -2123,6 +2316,7 @@ class Program_weight_tensor_parameter_192: class Program_weight_tensor_parameter_193: name = "parameter_193" + original_name = "batch_norm2d_43.b_0" shape = [512] dtype = "float32" min_val = float("-0.350172") @@ -2134,6 +2328,7 @@ class Program_weight_tensor_parameter_193: class Program_weight_tensor_parameter_194: name = "parameter_194" + original_name = "batch_norm2d_43.w_0" shape = [512] dtype = "float32" min_val = float("0.106705") @@ -2145,6 +2340,7 @@ class Program_weight_tensor_parameter_194: class Program_weight_tensor_parameter_195: name = "parameter_195" + original_name = "batch_norm2d_43.w_2" shape = [512] dtype = "float32" min_val = float("0.00811289") @@ -2156,6 +2352,7 @@ class Program_weight_tensor_parameter_195: class Program_weight_tensor_parameter_196: name = "parameter_196" + original_name = "batch_norm2d_43.w_1" shape = [512] dtype = "float32" min_val = float("-0.20864") @@ -2167,6 +2364,7 @@ class Program_weight_tensor_parameter_196: class Program_weight_tensor_parameter_197: name = "parameter_197" + original_name = "conv2d_43.w_0" shape = [512, 1024, 1, 1] dtype = "float32" min_val = float("-0.355225") @@ -2178,6 +2376,7 @@ class Program_weight_tensor_parameter_197: class Program_weight_tensor_parameter_198: name = "parameter_198" + original_name = "batch_norm2d_42.b_0" shape = [1024] dtype = "float32" min_val = float("-0.370779") @@ -2189,6 +2388,7 @@ class Program_weight_tensor_parameter_198: class Program_weight_tensor_parameter_199: name = "parameter_199" + original_name = "batch_norm2d_42.w_0" shape = [1024] dtype = "float32" min_val = float("-0.0664216") @@ -2200,6 +2400,7 @@ class Program_weight_tensor_parameter_199: class Program_weight_tensor_parameter_200: name = "parameter_200" + original_name = "batch_norm2d_42.w_2" shape = [1024] dtype = "float32" min_val = float("0.000187986") @@ -2211,6 +2412,7 @@ class Program_weight_tensor_parameter_200: class Program_weight_tensor_parameter_201: name = "parameter_201" + original_name = "batch_norm2d_42.w_1" shape = [1024] dtype = "float32" min_val = float("-0.112668") @@ -2222,6 +2424,7 @@ class Program_weight_tensor_parameter_201: class Program_weight_tensor_parameter_202: name = "parameter_202" + original_name = "conv2d_42.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.274568") @@ -2233,6 +2436,7 @@ class Program_weight_tensor_parameter_202: class Program_weight_tensor_parameter_203: name = "parameter_203" + original_name = "batch_norm2d_41.b_0" shape = [256] dtype = "float32" min_val = float("-0.399307") @@ -2244,6 +2448,7 @@ class Program_weight_tensor_parameter_203: class Program_weight_tensor_parameter_204: name = "parameter_204" + original_name = "batch_norm2d_41.w_0" shape = [256] dtype = "float32" min_val = float("0.124237") @@ -2255,6 +2460,7 @@ class Program_weight_tensor_parameter_204: class Program_weight_tensor_parameter_205: name = "parameter_205" + original_name = "batch_norm2d_41.w_2" shape = [256] dtype = "float32" min_val = float("0.00573658") @@ -2266,6 +2472,7 @@ class Program_weight_tensor_parameter_205: class Program_weight_tensor_parameter_206: name = "parameter_206" + original_name = "batch_norm2d_41.w_1" shape = [256] dtype = "float32" min_val = float("-0.223885") @@ -2277,6 +2484,7 @@ class Program_weight_tensor_parameter_206: class Program_weight_tensor_parameter_207: name = "parameter_207" + original_name = "conv2d_41.w_0" shape = [256, 256, 3, 3] dtype = "float32" min_val = float("-0.230977") @@ -2288,6 +2496,7 @@ class Program_weight_tensor_parameter_207: class Program_weight_tensor_parameter_208: name = "parameter_208" + original_name = "batch_norm2d_40.b_0" shape = [256] dtype = "float32" min_val = float("-0.314365") @@ -2299,6 +2508,7 @@ class Program_weight_tensor_parameter_208: class Program_weight_tensor_parameter_209: name = "parameter_209" + original_name = "batch_norm2d_40.w_0" shape = [256] dtype = "float32" min_val = float("0.0896673") @@ -2310,6 +2520,7 @@ class Program_weight_tensor_parameter_209: class Program_weight_tensor_parameter_210: name = "parameter_210" + original_name = "batch_norm2d_40.w_2" shape = [256] dtype = "float32" min_val = float("0.00800373") @@ -2321,6 +2532,7 @@ class Program_weight_tensor_parameter_210: class Program_weight_tensor_parameter_211: name = "parameter_211" + original_name = "batch_norm2d_40.w_1" shape = [256] dtype = "float32" min_val = float("-0.183551") @@ -2332,6 +2544,7 @@ class Program_weight_tensor_parameter_211: class Program_weight_tensor_parameter_212: name = "parameter_212" + original_name = "conv2d_40.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.230979") @@ -2343,6 +2556,7 @@ class Program_weight_tensor_parameter_212: class Program_weight_tensor_parameter_213: name = "parameter_213" + original_name = "batch_norm2d_39.b_0" shape = [1024] dtype = "float32" min_val = float("-0.316103") @@ -2354,6 +2568,7 @@ class Program_weight_tensor_parameter_213: class Program_weight_tensor_parameter_214: name = "parameter_214" + original_name = "batch_norm2d_39.w_0" shape = [1024] dtype = "float32" min_val = float("-0.048939") @@ -2365,6 +2580,7 @@ class Program_weight_tensor_parameter_214: class Program_weight_tensor_parameter_215: name = "parameter_215" + original_name = "batch_norm2d_39.w_2" shape = [1024] dtype = "float32" min_val = float("7.44126e-05") @@ -2376,6 +2592,7 @@ class Program_weight_tensor_parameter_215: class Program_weight_tensor_parameter_216: name = "parameter_216" + original_name = "batch_norm2d_39.w_1" shape = [1024] dtype = "float32" min_val = float("-0.102078") @@ -2387,6 +2604,7 @@ class Program_weight_tensor_parameter_216: class Program_weight_tensor_parameter_217: name = "parameter_217" + original_name = "conv2d_39.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.223261") @@ -2398,6 +2616,7 @@ class Program_weight_tensor_parameter_217: class Program_weight_tensor_parameter_218: name = "parameter_218" + original_name = "batch_norm2d_38.b_0" shape = [256] dtype = "float32" min_val = float("-0.329938") @@ -2409,6 +2628,7 @@ class Program_weight_tensor_parameter_218: class Program_weight_tensor_parameter_219: name = "parameter_219" + original_name = "batch_norm2d_38.w_0" shape = [256] dtype = "float32" min_val = float("0.0993624") @@ -2420,6 +2640,7 @@ class Program_weight_tensor_parameter_219: class Program_weight_tensor_parameter_220: name = "parameter_220" + original_name = "batch_norm2d_38.w_2" shape = [256] dtype = "float32" min_val = float("0.00524586") @@ -2431,6 +2652,7 @@ class Program_weight_tensor_parameter_220: class Program_weight_tensor_parameter_221: name = "parameter_221" + original_name = "batch_norm2d_38.w_1" shape = [256] dtype = "float32" min_val = float("-0.214452") @@ -2442,6 +2664,7 @@ class Program_weight_tensor_parameter_221: class Program_weight_tensor_parameter_222: name = "parameter_222" + original_name = "conv2d_38.w_0" shape = [256, 256, 3, 3] dtype = "float32" min_val = float("-0.198759") @@ -2453,6 +2676,7 @@ class Program_weight_tensor_parameter_222: class Program_weight_tensor_parameter_223: name = "parameter_223" + original_name = "batch_norm2d_37.b_0" shape = [256] dtype = "float32" min_val = float("-0.324492") @@ -2464,6 +2688,7 @@ class Program_weight_tensor_parameter_223: class Program_weight_tensor_parameter_224: name = "parameter_224" + original_name = "batch_norm2d_37.w_0" shape = [256] dtype = "float32" min_val = float("0.0949062") @@ -2475,6 +2700,7 @@ class Program_weight_tensor_parameter_224: class Program_weight_tensor_parameter_225: name = "parameter_225" + original_name = "batch_norm2d_37.w_2" shape = [256] dtype = "float32" min_val = float("0.00832382") @@ -2486,6 +2712,7 @@ class Program_weight_tensor_parameter_225: class Program_weight_tensor_parameter_226: name = "parameter_226" + original_name = "batch_norm2d_37.w_1" shape = [256] dtype = "float32" min_val = float("-0.241107") @@ -2497,6 +2724,7 @@ class Program_weight_tensor_parameter_226: class Program_weight_tensor_parameter_227: name = "parameter_227" + original_name = "conv2d_37.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.214365") @@ -2508,6 +2736,7 @@ class Program_weight_tensor_parameter_227: class Program_weight_tensor_parameter_228: name = "parameter_228" + original_name = "batch_norm2d_36.b_0" shape = [1024] dtype = "float32" min_val = float("-0.225174") @@ -2519,6 +2748,7 @@ class Program_weight_tensor_parameter_228: class Program_weight_tensor_parameter_229: name = "parameter_229" + original_name = "batch_norm2d_36.w_0" shape = [1024] dtype = "float32" min_val = float("-0.0301997") @@ -2530,6 +2760,7 @@ class Program_weight_tensor_parameter_229: class Program_weight_tensor_parameter_230: name = "parameter_230" + original_name = "batch_norm2d_36.w_2" shape = [1024] dtype = "float32" min_val = float("3.12528e-11") @@ -2541,6 +2772,7 @@ class Program_weight_tensor_parameter_230: class Program_weight_tensor_parameter_231: name = "parameter_231" + original_name = "batch_norm2d_36.w_1" shape = [1024] dtype = "float32" min_val = float("-0.0749364") @@ -2552,6 +2784,7 @@ class Program_weight_tensor_parameter_231: class Program_weight_tensor_parameter_232: name = "parameter_232" + original_name = "conv2d_36.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.249474") @@ -2563,6 +2796,7 @@ class Program_weight_tensor_parameter_232: class Program_weight_tensor_parameter_233: name = "parameter_233" + original_name = "batch_norm2d_35.b_0" shape = [256] dtype = "float32" min_val = float("-0.208314") @@ -2574,6 +2808,7 @@ class Program_weight_tensor_parameter_233: class Program_weight_tensor_parameter_234: name = "parameter_234" + original_name = "batch_norm2d_35.w_0" shape = [256] dtype = "float32" min_val = float("0.0967561") @@ -2585,6 +2820,7 @@ class Program_weight_tensor_parameter_234: class Program_weight_tensor_parameter_235: name = "parameter_235" + original_name = "batch_norm2d_35.w_2" shape = [256] dtype = "float32" min_val = float("0.00534462") @@ -2596,6 +2832,7 @@ class Program_weight_tensor_parameter_235: class Program_weight_tensor_parameter_236: name = "parameter_236" + original_name = "batch_norm2d_35.w_1" shape = [256] dtype = "float32" min_val = float("-0.162661") @@ -2607,6 +2844,7 @@ class Program_weight_tensor_parameter_236: class Program_weight_tensor_parameter_237: name = "parameter_237" + original_name = "conv2d_35.w_0" shape = [256, 256, 3, 3] dtype = "float32" min_val = float("-0.173493") @@ -2618,6 +2856,7 @@ class Program_weight_tensor_parameter_237: class Program_weight_tensor_parameter_238: name = "parameter_238" + original_name = "batch_norm2d_34.b_0" shape = [256] dtype = "float32" min_val = float("-0.259401") @@ -2629,6 +2868,7 @@ class Program_weight_tensor_parameter_238: class Program_weight_tensor_parameter_239: name = "parameter_239" + original_name = "batch_norm2d_34.w_0" shape = [256] dtype = "float32" min_val = float("0.0953832") @@ -2640,6 +2880,7 @@ class Program_weight_tensor_parameter_239: class Program_weight_tensor_parameter_240: name = "parameter_240" + original_name = "batch_norm2d_34.w_2" shape = [256] dtype = "float32" min_val = float("0.00862938") @@ -2651,6 +2892,7 @@ class Program_weight_tensor_parameter_240: class Program_weight_tensor_parameter_241: name = "parameter_241" + original_name = "batch_norm2d_34.w_1" shape = [256] dtype = "float32" min_val = float("-0.262802") @@ -2662,6 +2904,7 @@ class Program_weight_tensor_parameter_241: class Program_weight_tensor_parameter_242: name = "parameter_242" + original_name = "conv2d_34.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.227981") @@ -2673,6 +2916,7 @@ class Program_weight_tensor_parameter_242: class Program_weight_tensor_parameter_243: name = "parameter_243" + original_name = "batch_norm2d_33.b_0" shape = [1024] dtype = "float32" min_val = float("-0.262605") @@ -2684,6 +2928,7 @@ class Program_weight_tensor_parameter_243: class Program_weight_tensor_parameter_244: name = "parameter_244" + original_name = "batch_norm2d_33.w_0" shape = [1024] dtype = "float32" min_val = float("-0.0341974") @@ -2695,6 +2940,7 @@ class Program_weight_tensor_parameter_244: class Program_weight_tensor_parameter_245: name = "parameter_245" + original_name = "batch_norm2d_33.w_2" shape = [1024] dtype = "float32" min_val = float("7.40606e-11") @@ -2706,6 +2952,7 @@ class Program_weight_tensor_parameter_245: class Program_weight_tensor_parameter_246: name = "parameter_246" + original_name = "batch_norm2d_33.w_1" shape = [1024] dtype = "float32" min_val = float("-0.114872") @@ -2717,6 +2964,7 @@ class Program_weight_tensor_parameter_246: class Program_weight_tensor_parameter_247: name = "parameter_247" + original_name = "conv2d_33.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.398561") @@ -2728,6 +2976,7 @@ class Program_weight_tensor_parameter_247: class Program_weight_tensor_parameter_248: name = "parameter_248" + original_name = "batch_norm2d_32.b_0" shape = [256] dtype = "float32" min_val = float("-0.220177") @@ -2739,6 +2988,7 @@ class Program_weight_tensor_parameter_248: class Program_weight_tensor_parameter_249: name = "parameter_249" + original_name = "batch_norm2d_32.w_0" shape = [256] dtype = "float32" min_val = float("0.096898") @@ -2750,6 +3000,7 @@ class Program_weight_tensor_parameter_249: class Program_weight_tensor_parameter_250: name = "parameter_250" + original_name = "batch_norm2d_32.w_2" shape = [256] dtype = "float32" min_val = float("0.00716861") @@ -2761,6 +3012,7 @@ class Program_weight_tensor_parameter_250: class Program_weight_tensor_parameter_251: name = "parameter_251" + original_name = "batch_norm2d_32.w_1" shape = [256] dtype = "float32" min_val = float("-0.33006") @@ -2772,6 +3024,7 @@ class Program_weight_tensor_parameter_251: class Program_weight_tensor_parameter_252: name = "parameter_252" + original_name = "conv2d_32.w_0" shape = [256, 256, 3, 3] dtype = "float32" min_val = float("-0.243483") @@ -2783,6 +3036,7 @@ class Program_weight_tensor_parameter_252: class Program_weight_tensor_parameter_253: name = "parameter_253" + original_name = "batch_norm2d_31.b_0" shape = [256] dtype = "float32" min_val = float("-0.231612") @@ -2794,6 +3048,7 @@ class Program_weight_tensor_parameter_253: class Program_weight_tensor_parameter_254: name = "parameter_254" + original_name = "batch_norm2d_31.w_0" shape = [256] dtype = "float32" min_val = float("0.0980205") @@ -2805,6 +3060,7 @@ class Program_weight_tensor_parameter_254: class Program_weight_tensor_parameter_255: name = "parameter_255" + original_name = "batch_norm2d_31.w_2" shape = [256] dtype = "float32" min_val = float("0.0081298") @@ -2816,6 +3072,7 @@ class Program_weight_tensor_parameter_255: class Program_weight_tensor_parameter_256: name = "parameter_256" + original_name = "batch_norm2d_31.w_1" shape = [256] dtype = "float32" min_val = float("-0.219663") @@ -2827,6 +3084,7 @@ class Program_weight_tensor_parameter_256: class Program_weight_tensor_parameter_257: name = "parameter_257" + original_name = "conv2d_31.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.223998") @@ -2838,6 +3096,7 @@ class Program_weight_tensor_parameter_257: class Program_weight_tensor_parameter_258: name = "parameter_258" + original_name = "batch_norm2d_30.b_0" shape = [1024] dtype = "float32" min_val = float("-0.214667") @@ -2849,6 +3108,7 @@ class Program_weight_tensor_parameter_258: class Program_weight_tensor_parameter_259: name = "parameter_259" + original_name = "batch_norm2d_30.w_0" shape = [1024] dtype = "float32" min_val = float("-0.014802") @@ -2860,6 +3120,7 @@ class Program_weight_tensor_parameter_259: class Program_weight_tensor_parameter_260: name = "parameter_260" + original_name = "batch_norm2d_30.w_2" shape = [1024] dtype = "float32" min_val = float("2.17905e-11") @@ -2871,6 +3132,7 @@ class Program_weight_tensor_parameter_260: class Program_weight_tensor_parameter_261: name = "parameter_261" + original_name = "batch_norm2d_30.w_1" shape = [1024] dtype = "float32" min_val = float("-0.154766") @@ -2882,6 +3144,7 @@ class Program_weight_tensor_parameter_261: class Program_weight_tensor_parameter_262: name = "parameter_262" + original_name = "conv2d_30.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.516348") @@ -2893,6 +3156,7 @@ class Program_weight_tensor_parameter_262: class Program_weight_tensor_parameter_263: name = "parameter_263" + original_name = "batch_norm2d_29.b_0" shape = [256] dtype = "float32" min_val = float("-0.384297") @@ -2904,6 +3168,7 @@ class Program_weight_tensor_parameter_263: class Program_weight_tensor_parameter_264: name = "parameter_264" + original_name = "batch_norm2d_29.w_0" shape = [256] dtype = "float32" min_val = float("0.101814") @@ -2915,6 +3180,7 @@ class Program_weight_tensor_parameter_264: class Program_weight_tensor_parameter_265: name = "parameter_265" + original_name = "batch_norm2d_29.w_2" shape = [256] dtype = "float32" min_val = float("0.00926883") @@ -2926,6 +3192,7 @@ class Program_weight_tensor_parameter_265: class Program_weight_tensor_parameter_266: name = "parameter_266" + original_name = "batch_norm2d_29.w_1" shape = [256] dtype = "float32" min_val = float("-0.897196") @@ -2937,6 +3204,7 @@ class Program_weight_tensor_parameter_266: class Program_weight_tensor_parameter_267: name = "parameter_267" + original_name = "conv2d_29.w_0" shape = [256, 256, 3, 3] dtype = "float32" min_val = float("-0.244331") @@ -2948,6 +3216,7 @@ class Program_weight_tensor_parameter_267: class Program_weight_tensor_parameter_268: name = "parameter_268" + original_name = "batch_norm2d_28.b_0" shape = [256] dtype = "float32" min_val = float("-0.154157") @@ -2959,6 +3228,7 @@ class Program_weight_tensor_parameter_268: class Program_weight_tensor_parameter_269: name = "parameter_269" + original_name = "batch_norm2d_28.w_0" shape = [256] dtype = "float32" min_val = float("0.0953903") @@ -2970,6 +3240,7 @@ class Program_weight_tensor_parameter_269: class Program_weight_tensor_parameter_270: name = "parameter_270" + original_name = "batch_norm2d_28.w_2" shape = [256] dtype = "float32" min_val = float("0.00848757") @@ -2981,6 +3252,7 @@ class Program_weight_tensor_parameter_270: class Program_weight_tensor_parameter_271: name = "parameter_271" + original_name = "batch_norm2d_28.w_1" shape = [256] dtype = "float32" min_val = float("-0.883407") @@ -2992,6 +3264,7 @@ class Program_weight_tensor_parameter_271: class Program_weight_tensor_parameter_272: name = "parameter_272" + original_name = "conv2d_28.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.219916") @@ -3003,6 +3276,7 @@ class Program_weight_tensor_parameter_272: class Program_weight_tensor_parameter_273: name = "parameter_273" + original_name = "batch_norm2d_27.b_0" shape = [1024] dtype = "float32" min_val = float("-0.123107") @@ -3014,6 +3288,7 @@ class Program_weight_tensor_parameter_273: class Program_weight_tensor_parameter_274: name = "parameter_274" + original_name = "batch_norm2d_27.w_0" shape = [1024] dtype = "float32" min_val = float("-0.0802479") @@ -3025,6 +3300,7 @@ class Program_weight_tensor_parameter_274: class Program_weight_tensor_parameter_275: name = "parameter_275" + original_name = "batch_norm2d_27.w_2" shape = [1024] dtype = "float32" min_val = float("2.12427e-14") @@ -3036,6 +3312,7 @@ class Program_weight_tensor_parameter_275: class Program_weight_tensor_parameter_276: name = "parameter_276" + original_name = "batch_norm2d_27.w_1" shape = [1024] dtype = "float32" min_val = float("-0.312993") @@ -3047,6 +3324,7 @@ class Program_weight_tensor_parameter_276: class Program_weight_tensor_parameter_277: name = "parameter_277" + original_name = "conv2d_27.w_0" shape = [1024, 512, 1, 1] dtype = "float32" min_val = float("-0.337797") @@ -3058,6 +3336,7 @@ class Program_weight_tensor_parameter_277: class Program_weight_tensor_parameter_278: name = "parameter_278" + original_name = "batch_norm2d_26.b_0" shape = [1024] dtype = "float32" min_val = float("-0.123107") @@ -3069,6 +3348,7 @@ class Program_weight_tensor_parameter_278: class Program_weight_tensor_parameter_279: name = "parameter_279" + original_name = "batch_norm2d_26.w_0" shape = [1024] dtype = "float32" min_val = float("-0.00172916") @@ -3080,6 +3360,7 @@ class Program_weight_tensor_parameter_279: class Program_weight_tensor_parameter_280: name = "parameter_280" + original_name = "batch_norm2d_26.w_2" shape = [1024] dtype = "float32" min_val = float("1.97651e-14") @@ -3091,6 +3372,7 @@ class Program_weight_tensor_parameter_280: class Program_weight_tensor_parameter_281: name = "parameter_281" + original_name = "batch_norm2d_26.w_1" shape = [1024] dtype = "float32" min_val = float("-0.320953") @@ -3102,6 +3384,7 @@ class Program_weight_tensor_parameter_281: class Program_weight_tensor_parameter_282: name = "parameter_282" + original_name = "conv2d_26.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.306494") @@ -3113,6 +3396,7 @@ class Program_weight_tensor_parameter_282: class Program_weight_tensor_parameter_283: name = "parameter_283" + original_name = "batch_norm2d_25.b_0" shape = [256] dtype = "float32" min_val = float("-0.177343") @@ -3124,6 +3408,7 @@ class Program_weight_tensor_parameter_283: class Program_weight_tensor_parameter_284: name = "parameter_284" + original_name = "batch_norm2d_25.w_0" shape = [256] dtype = "float32" min_val = float("0.126972") @@ -3135,6 +3420,7 @@ class Program_weight_tensor_parameter_284: class Program_weight_tensor_parameter_285: name = "parameter_285" + original_name = "batch_norm2d_25.w_2" shape = [256] dtype = "float32" min_val = float("0.0155667") @@ -3146,6 +3432,7 @@ class Program_weight_tensor_parameter_285: class Program_weight_tensor_parameter_286: name = "parameter_286" + original_name = "batch_norm2d_25.w_1" shape = [256] dtype = "float32" min_val = float("-0.280367") @@ -3157,6 +3444,7 @@ class Program_weight_tensor_parameter_286: class Program_weight_tensor_parameter_287: name = "parameter_287" + original_name = "conv2d_25.w_0" shape = [256, 256, 3, 3] dtype = "float32" min_val = float("-0.222083") @@ -3168,6 +3456,7 @@ class Program_weight_tensor_parameter_287: class Program_weight_tensor_parameter_288: name = "parameter_288" + original_name = "batch_norm2d_24.b_0" shape = [256] dtype = "float32" min_val = float("-0.378746") @@ -3179,6 +3468,7 @@ class Program_weight_tensor_parameter_288: class Program_weight_tensor_parameter_289: name = "parameter_289" + original_name = "batch_norm2d_24.w_0" shape = [256] dtype = "float32" min_val = float("0.144833") @@ -3190,6 +3480,7 @@ class Program_weight_tensor_parameter_289: class Program_weight_tensor_parameter_290: name = "parameter_290" + original_name = "batch_norm2d_24.w_2" shape = [256] dtype = "float32" min_val = float("0.0157244") @@ -3201,6 +3492,7 @@ class Program_weight_tensor_parameter_290: class Program_weight_tensor_parameter_291: name = "parameter_291" + original_name = "batch_norm2d_24.w_1" shape = [256] dtype = "float32" min_val = float("-0.390806") @@ -3212,6 +3504,7 @@ class Program_weight_tensor_parameter_291: class Program_weight_tensor_parameter_292: name = "parameter_292" + original_name = "conv2d_24.w_0" shape = [256, 512, 1, 1] dtype = "float32" min_val = float("-0.384462") @@ -3223,6 +3516,7 @@ class Program_weight_tensor_parameter_292: class Program_weight_tensor_parameter_293: name = "parameter_293" + original_name = "batch_norm2d_23.b_0" shape = [512] dtype = "float32" min_val = float("-0.212643") @@ -3234,6 +3528,7 @@ class Program_weight_tensor_parameter_293: class Program_weight_tensor_parameter_294: name = "parameter_294" + original_name = "batch_norm2d_23.w_0" shape = [512] dtype = "float32" min_val = float("-0.0505015") @@ -3245,6 +3540,7 @@ class Program_weight_tensor_parameter_294: class Program_weight_tensor_parameter_295: name = "parameter_295" + original_name = "batch_norm2d_23.w_2" shape = [512] dtype = "float32" min_val = float("5.65136e-05") @@ -3256,6 +3552,7 @@ class Program_weight_tensor_parameter_295: class Program_weight_tensor_parameter_296: name = "parameter_296" + original_name = "batch_norm2d_23.w_1" shape = [512] dtype = "float32" min_val = float("-0.141983") @@ -3267,6 +3564,7 @@ class Program_weight_tensor_parameter_296: class Program_weight_tensor_parameter_297: name = "parameter_297" + original_name = "conv2d_23.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.289083") @@ -3278,6 +3576,7 @@ class Program_weight_tensor_parameter_297: class Program_weight_tensor_parameter_298: name = "parameter_298" + original_name = "batch_norm2d_22.b_0" shape = [128] dtype = "float32" min_val = float("-0.217842") @@ -3289,6 +3588,7 @@ class Program_weight_tensor_parameter_298: class Program_weight_tensor_parameter_299: name = "parameter_299" + original_name = "batch_norm2d_22.w_0" shape = [128] dtype = "float32" min_val = float("0.121171") @@ -3300,6 +3600,7 @@ class Program_weight_tensor_parameter_299: class Program_weight_tensor_parameter_300: name = "parameter_300" + original_name = "batch_norm2d_22.w_2" shape = [128] dtype = "float32" min_val = float("0.00802759") @@ -3311,6 +3612,7 @@ class Program_weight_tensor_parameter_300: class Program_weight_tensor_parameter_301: name = "parameter_301" + original_name = "batch_norm2d_22.w_1" shape = [128] dtype = "float32" min_val = float("-0.202194") @@ -3322,6 +3624,7 @@ class Program_weight_tensor_parameter_301: class Program_weight_tensor_parameter_302: name = "parameter_302" + original_name = "conv2d_22.w_0" shape = [128, 128, 3, 3] dtype = "float32" min_val = float("-0.196273") @@ -3333,6 +3636,7 @@ class Program_weight_tensor_parameter_302: class Program_weight_tensor_parameter_303: name = "parameter_303" + original_name = "batch_norm2d_21.b_0" shape = [128] dtype = "float32" min_val = float("-0.234581") @@ -3344,6 +3648,7 @@ class Program_weight_tensor_parameter_303: class Program_weight_tensor_parameter_304: name = "parameter_304" + original_name = "batch_norm2d_21.w_0" shape = [128] dtype = "float32" min_val = float("0.118987") @@ -3355,6 +3660,7 @@ class Program_weight_tensor_parameter_304: class Program_weight_tensor_parameter_305: name = "parameter_305" + original_name = "batch_norm2d_21.w_2" shape = [128] dtype = "float32" min_val = float("0.00940187") @@ -3366,6 +3672,7 @@ class Program_weight_tensor_parameter_305: class Program_weight_tensor_parameter_306: name = "parameter_306" + original_name = "batch_norm2d_21.w_1" shape = [128] dtype = "float32" min_val = float("-0.277056") @@ -3377,6 +3684,7 @@ class Program_weight_tensor_parameter_306: class Program_weight_tensor_parameter_307: name = "parameter_307" + original_name = "conv2d_21.w_0" shape = [128, 512, 1, 1] dtype = "float32" min_val = float("-0.221919") @@ -3388,6 +3696,7 @@ class Program_weight_tensor_parameter_307: class Program_weight_tensor_parameter_308: name = "parameter_308" + original_name = "batch_norm2d_20.b_0" shape = [512] dtype = "float32" min_val = float("-0.269087") @@ -3399,6 +3708,7 @@ class Program_weight_tensor_parameter_308: class Program_weight_tensor_parameter_309: name = "parameter_309" + original_name = "batch_norm2d_20.w_0" shape = [512] dtype = "float32" min_val = float("-0.0647098") @@ -3410,6 +3720,7 @@ class Program_weight_tensor_parameter_309: class Program_weight_tensor_parameter_310: name = "parameter_310" + original_name = "batch_norm2d_20.w_2" shape = [512] dtype = "float32" min_val = float("0.00010973") @@ -3421,6 +3732,7 @@ class Program_weight_tensor_parameter_310: class Program_weight_tensor_parameter_311: name = "parameter_311" + original_name = "batch_norm2d_20.w_1" shape = [512] dtype = "float32" min_val = float("-0.0957676") @@ -3432,6 +3744,7 @@ class Program_weight_tensor_parameter_311: class Program_weight_tensor_parameter_312: name = "parameter_312" + original_name = "conv2d_20.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.27502") @@ -3443,6 +3756,7 @@ class Program_weight_tensor_parameter_312: class Program_weight_tensor_parameter_313: name = "parameter_313" + original_name = "batch_norm2d_19.b_0" shape = [128] dtype = "float32" min_val = float("-0.17257") @@ -3454,6 +3768,7 @@ class Program_weight_tensor_parameter_313: class Program_weight_tensor_parameter_314: name = "parameter_314" + original_name = "batch_norm2d_19.w_0" shape = [128] dtype = "float32" min_val = float("0.108321") @@ -3465,6 +3780,7 @@ class Program_weight_tensor_parameter_314: class Program_weight_tensor_parameter_315: name = "parameter_315" + original_name = "batch_norm2d_19.w_2" shape = [128] dtype = "float32" min_val = float("0.0071571") @@ -3476,6 +3792,7 @@ class Program_weight_tensor_parameter_315: class Program_weight_tensor_parameter_316: name = "parameter_316" + original_name = "batch_norm2d_19.w_1" shape = [128] dtype = "float32" min_val = float("-0.345635") @@ -3487,6 +3804,7 @@ class Program_weight_tensor_parameter_316: class Program_weight_tensor_parameter_317: name = "parameter_317" + original_name = "conv2d_19.w_0" shape = [128, 128, 3, 3] dtype = "float32" min_val = float("-0.229707") @@ -3498,6 +3816,7 @@ class Program_weight_tensor_parameter_317: class Program_weight_tensor_parameter_318: name = "parameter_318" + original_name = "batch_norm2d_18.b_0" shape = [128] dtype = "float32" min_val = float("-0.202003") @@ -3509,6 +3828,7 @@ class Program_weight_tensor_parameter_318: class Program_weight_tensor_parameter_319: name = "parameter_319" + original_name = "batch_norm2d_18.w_0" shape = [128] dtype = "float32" min_val = float("0.106726") @@ -3520,6 +3840,7 @@ class Program_weight_tensor_parameter_319: class Program_weight_tensor_parameter_320: name = "parameter_320" + original_name = "batch_norm2d_18.w_2" shape = [128] dtype = "float32" min_val = float("0.00987741") @@ -3531,6 +3852,7 @@ class Program_weight_tensor_parameter_320: class Program_weight_tensor_parameter_321: name = "parameter_321" + original_name = "batch_norm2d_18.w_1" shape = [128] dtype = "float32" min_val = float("-0.342662") @@ -3542,6 +3864,7 @@ class Program_weight_tensor_parameter_321: class Program_weight_tensor_parameter_322: name = "parameter_322" + original_name = "conv2d_18.w_0" shape = [128, 512, 1, 1] dtype = "float32" min_val = float("-0.253342") @@ -3553,6 +3876,7 @@ class Program_weight_tensor_parameter_322: class Program_weight_tensor_parameter_323: name = "parameter_323" + original_name = "batch_norm2d_17.b_0" shape = [512] dtype = "float32" min_val = float("-0.238356") @@ -3564,6 +3888,7 @@ class Program_weight_tensor_parameter_323: class Program_weight_tensor_parameter_324: name = "parameter_324" + original_name = "batch_norm2d_17.w_0" shape = [512] dtype = "float32" min_val = float("-0.0709823") @@ -3575,6 +3900,7 @@ class Program_weight_tensor_parameter_324: class Program_weight_tensor_parameter_325: name = "parameter_325" + original_name = "batch_norm2d_17.w_2" shape = [512] dtype = "float32" min_val = float("6.22571e-13") @@ -3586,6 +3912,7 @@ class Program_weight_tensor_parameter_325: class Program_weight_tensor_parameter_326: name = "parameter_326" + original_name = "batch_norm2d_17.w_1" shape = [512] dtype = "float32" min_val = float("-0.204187") @@ -3597,6 +3924,7 @@ class Program_weight_tensor_parameter_326: class Program_weight_tensor_parameter_327: name = "parameter_327" + original_name = "conv2d_17.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.312413") @@ -3608,6 +3936,7 @@ class Program_weight_tensor_parameter_327: class Program_weight_tensor_parameter_328: name = "parameter_328" + original_name = "batch_norm2d_16.b_0" shape = [128] dtype = "float32" min_val = float("-0.182477") @@ -3619,6 +3948,7 @@ class Program_weight_tensor_parameter_328: class Program_weight_tensor_parameter_329: name = "parameter_329" + original_name = "batch_norm2d_16.w_0" shape = [128] dtype = "float32" min_val = float("0.0796995") @@ -3630,6 +3960,7 @@ class Program_weight_tensor_parameter_329: class Program_weight_tensor_parameter_330: name = "parameter_330" + original_name = "batch_norm2d_16.w_2" shape = [128] dtype = "float32" min_val = float("0.00281317") @@ -3641,6 +3972,7 @@ class Program_weight_tensor_parameter_330: class Program_weight_tensor_parameter_331: name = "parameter_331" + original_name = "batch_norm2d_16.w_1" shape = [128] dtype = "float32" min_val = float("-0.669941") @@ -3652,6 +3984,7 @@ class Program_weight_tensor_parameter_331: class Program_weight_tensor_parameter_332: name = "parameter_332" + original_name = "conv2d_16.w_0" shape = [128, 128, 3, 3] dtype = "float32" min_val = float("-0.243798") @@ -3663,6 +3996,7 @@ class Program_weight_tensor_parameter_332: class Program_weight_tensor_parameter_333: name = "parameter_333" + original_name = "batch_norm2d_15.b_0" shape = [128] dtype = "float32" min_val = float("-0.186717") @@ -3674,6 +4008,7 @@ class Program_weight_tensor_parameter_333: class Program_weight_tensor_parameter_334: name = "parameter_334" + original_name = "batch_norm2d_15.w_0" shape = [128] dtype = "float32" min_val = float("0.0506482") @@ -3685,6 +4020,7 @@ class Program_weight_tensor_parameter_334: class Program_weight_tensor_parameter_335: name = "parameter_335" + original_name = "batch_norm2d_15.w_2" shape = [128] dtype = "float32" min_val = float("0.00210212") @@ -3696,6 +4032,7 @@ class Program_weight_tensor_parameter_335: class Program_weight_tensor_parameter_336: name = "parameter_336" + original_name = "batch_norm2d_15.w_1" shape = [128] dtype = "float32" min_val = float("-0.322583") @@ -3707,6 +4044,7 @@ class Program_weight_tensor_parameter_336: class Program_weight_tensor_parameter_337: name = "parameter_337" + original_name = "conv2d_15.w_0" shape = [128, 512, 1, 1] dtype = "float32" min_val = float("-0.201565") @@ -3718,6 +4056,7 @@ class Program_weight_tensor_parameter_337: class Program_weight_tensor_parameter_338: name = "parameter_338" + original_name = "batch_norm2d_14.b_0" shape = [512] dtype = "float32" min_val = float("-0.171144") @@ -3729,6 +4068,7 @@ class Program_weight_tensor_parameter_338: class Program_weight_tensor_parameter_339: name = "parameter_339" + original_name = "batch_norm2d_14.w_0" shape = [512] dtype = "float32" min_val = float("-0.019481") @@ -3740,6 +4080,7 @@ class Program_weight_tensor_parameter_339: class Program_weight_tensor_parameter_340: name = "parameter_340" + original_name = "batch_norm2d_14.w_2" shape = [512] dtype = "float32" min_val = float("1.17727e-15") @@ -3751,6 +4092,7 @@ class Program_weight_tensor_parameter_340: class Program_weight_tensor_parameter_341: name = "parameter_341" + original_name = "batch_norm2d_14.w_1" shape = [512] dtype = "float32" min_val = float("-0.497702") @@ -3762,6 +4104,7 @@ class Program_weight_tensor_parameter_341: class Program_weight_tensor_parameter_342: name = "parameter_342" + original_name = "conv2d_14.w_0" shape = [512, 256, 1, 1] dtype = "float32" min_val = float("-0.34401") @@ -3773,6 +4116,7 @@ class Program_weight_tensor_parameter_342: class Program_weight_tensor_parameter_343: name = "parameter_343" + original_name = "batch_norm2d_13.b_0" shape = [512] dtype = "float32" min_val = float("-0.171144") @@ -3784,6 +4128,7 @@ class Program_weight_tensor_parameter_343: class Program_weight_tensor_parameter_344: name = "parameter_344" + original_name = "batch_norm2d_13.w_0" shape = [512] dtype = "float32" min_val = float("-0.0356742") @@ -3795,6 +4140,7 @@ class Program_weight_tensor_parameter_344: class Program_weight_tensor_parameter_345: name = "parameter_345" + original_name = "batch_norm2d_13.w_2" shape = [512] dtype = "float32" min_val = float("6.20582e-16") @@ -3806,6 +4152,7 @@ class Program_weight_tensor_parameter_345: class Program_weight_tensor_parameter_346: name = "parameter_346" + original_name = "batch_norm2d_13.w_1" shape = [512] dtype = "float32" min_val = float("-0.28852") @@ -3817,6 +4164,7 @@ class Program_weight_tensor_parameter_346: class Program_weight_tensor_parameter_347: name = "parameter_347" + original_name = "conv2d_13.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.377596") @@ -3828,6 +4176,7 @@ class Program_weight_tensor_parameter_347: class Program_weight_tensor_parameter_348: name = "parameter_348" + original_name = "batch_norm2d_12.b_0" shape = [128] dtype = "float32" min_val = float("-0.316086") @@ -3839,6 +4188,7 @@ class Program_weight_tensor_parameter_348: class Program_weight_tensor_parameter_349: name = "parameter_349" + original_name = "batch_norm2d_12.w_0" shape = [128] dtype = "float32" min_val = float("0.14483") @@ -3850,6 +4200,7 @@ class Program_weight_tensor_parameter_349: class Program_weight_tensor_parameter_350: name = "parameter_350" + original_name = "batch_norm2d_12.w_2" shape = [128] dtype = "float32" min_val = float("0.0130226") @@ -3861,6 +4212,7 @@ class Program_weight_tensor_parameter_350: class Program_weight_tensor_parameter_351: name = "parameter_351" + original_name = "batch_norm2d_12.w_1" shape = [128] dtype = "float32" min_val = float("-0.267364") @@ -3872,6 +4224,7 @@ class Program_weight_tensor_parameter_351: class Program_weight_tensor_parameter_352: name = "parameter_352" + original_name = "conv2d_12.w_0" shape = [128, 128, 3, 3] dtype = "float32" min_val = float("-0.314578") @@ -3883,6 +4236,7 @@ class Program_weight_tensor_parameter_352: class Program_weight_tensor_parameter_353: name = "parameter_353" + original_name = "batch_norm2d_11.b_0" shape = [128] dtype = "float32" min_val = float("-0.303521") @@ -3894,6 +4248,7 @@ class Program_weight_tensor_parameter_353: class Program_weight_tensor_parameter_354: name = "parameter_354" + original_name = "batch_norm2d_11.w_0" shape = [128] dtype = "float32" min_val = float("0.107636") @@ -3905,6 +4260,7 @@ class Program_weight_tensor_parameter_354: class Program_weight_tensor_parameter_355: name = "parameter_355" + original_name = "batch_norm2d_11.w_2" shape = [128] dtype = "float32" min_val = float("0.00341849") @@ -3916,6 +4272,7 @@ class Program_weight_tensor_parameter_355: class Program_weight_tensor_parameter_356: name = "parameter_356" + original_name = "batch_norm2d_11.w_1" shape = [128] dtype = "float32" min_val = float("-0.400316") @@ -3927,6 +4284,7 @@ class Program_weight_tensor_parameter_356: class Program_weight_tensor_parameter_357: name = "parameter_357" + original_name = "conv2d_11.w_0" shape = [128, 256, 1, 1] dtype = "float32" min_val = float("-0.290714") @@ -3938,6 +4296,7 @@ class Program_weight_tensor_parameter_357: class Program_weight_tensor_parameter_358: name = "parameter_358" + original_name = "batch_norm2d_10.b_0" shape = [256] dtype = "float32" min_val = float("-0.168371") @@ -3949,6 +4308,7 @@ class Program_weight_tensor_parameter_358: class Program_weight_tensor_parameter_359: name = "parameter_359" + original_name = "batch_norm2d_10.w_0" shape = [256] dtype = "float32" min_val = float("-0.0978827") @@ -3960,6 +4320,7 @@ class Program_weight_tensor_parameter_359: class Program_weight_tensor_parameter_360: name = "parameter_360" + original_name = "batch_norm2d_10.w_2" shape = [256] dtype = "float32" min_val = float("5.57019e-05") @@ -3971,6 +4332,7 @@ class Program_weight_tensor_parameter_360: class Program_weight_tensor_parameter_361: name = "parameter_361" + original_name = "batch_norm2d_10.w_1" shape = [256] dtype = "float32" min_val = float("-0.124307") @@ -3982,6 +4344,7 @@ class Program_weight_tensor_parameter_361: class Program_weight_tensor_parameter_362: name = "parameter_362" + original_name = "conv2d_10.w_0" shape = [256, 64, 1, 1] dtype = "float32" min_val = float("-0.216772") @@ -3993,6 +4356,7 @@ class Program_weight_tensor_parameter_362: class Program_weight_tensor_parameter_363: name = "parameter_363" + original_name = "batch_norm2d_9.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -4002,6 +4366,7 @@ class Program_weight_tensor_parameter_363: class Program_weight_tensor_parameter_364: name = "parameter_364" + original_name = "batch_norm2d_9.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -4011,6 +4376,7 @@ class Program_weight_tensor_parameter_364: class Program_weight_tensor_parameter_365: name = "parameter_365" + original_name = "batch_norm2d_9.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -4020,6 +4386,7 @@ class Program_weight_tensor_parameter_365: class Program_weight_tensor_parameter_366: name = "parameter_366" + original_name = "batch_norm2d_9.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -4029,6 +4396,7 @@ class Program_weight_tensor_parameter_366: class Program_weight_tensor_parameter_367: name = "parameter_367" + original_name = "conv2d_9.w_0" shape = [64, 64, 3, 3] dtype = "float32" min_val = float("-0.225002") @@ -4040,6 +4408,7 @@ class Program_weight_tensor_parameter_367: class Program_weight_tensor_parameter_368: name = "parameter_368" + original_name = "batch_norm2d_8.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -4049,6 +4418,7 @@ class Program_weight_tensor_parameter_368: class Program_weight_tensor_parameter_369: name = "parameter_369" + original_name = "batch_norm2d_8.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -4058,6 +4428,7 @@ class Program_weight_tensor_parameter_369: class Program_weight_tensor_parameter_370: name = "parameter_370" + original_name = "batch_norm2d_8.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -4067,6 +4438,7 @@ class Program_weight_tensor_parameter_370: class Program_weight_tensor_parameter_371: name = "parameter_371" + original_name = "batch_norm2d_8.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -4076,6 +4448,7 @@ class Program_weight_tensor_parameter_371: class Program_weight_tensor_parameter_372: name = "parameter_372" + original_name = "conv2d_8.w_0" shape = [64, 256, 1, 1] dtype = "float32" min_val = float("-0.192067") @@ -4087,6 +4460,7 @@ class Program_weight_tensor_parameter_372: class Program_weight_tensor_parameter_373: name = "parameter_373" + original_name = "batch_norm2d_7.b_0" shape = [256] dtype = "float32" min_val = float("-0.148338") @@ -4098,6 +4472,7 @@ class Program_weight_tensor_parameter_373: class Program_weight_tensor_parameter_374: name = "parameter_374" + original_name = "batch_norm2d_7.w_0" shape = [256] dtype = "float32" min_val = float("-0.113668") @@ -4109,6 +4484,7 @@ class Program_weight_tensor_parameter_374: class Program_weight_tensor_parameter_375: name = "parameter_375" + original_name = "batch_norm2d_7.w_2" shape = [256] dtype = "float32" min_val = float("7.11989e-15") @@ -4120,6 +4496,7 @@ class Program_weight_tensor_parameter_375: class Program_weight_tensor_parameter_376: name = "parameter_376" + original_name = "batch_norm2d_7.w_1" shape = [256] dtype = "float32" min_val = float("-0.104816") @@ -4131,6 +4508,7 @@ class Program_weight_tensor_parameter_376: class Program_weight_tensor_parameter_377: name = "parameter_377" + original_name = "conv2d_7.w_0" shape = [256, 64, 1, 1] dtype = "float32" min_val = float("-0.294627") @@ -4142,6 +4520,7 @@ class Program_weight_tensor_parameter_377: class Program_weight_tensor_parameter_378: name = "parameter_378" + original_name = "batch_norm2d_6.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -4151,6 +4530,7 @@ class Program_weight_tensor_parameter_378: class Program_weight_tensor_parameter_379: name = "parameter_379" + original_name = "batch_norm2d_6.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -4160,6 +4540,7 @@ class Program_weight_tensor_parameter_379: class Program_weight_tensor_parameter_380: name = "parameter_380" + original_name = "batch_norm2d_6.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -4169,6 +4550,7 @@ class Program_weight_tensor_parameter_380: class Program_weight_tensor_parameter_381: name = "parameter_381" + original_name = "batch_norm2d_6.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -4178,6 +4560,7 @@ class Program_weight_tensor_parameter_381: class Program_weight_tensor_parameter_382: name = "parameter_382" + original_name = "conv2d_6.w_0" shape = [64, 64, 3, 3] dtype = "float32" min_val = float("-0.403462") @@ -4189,6 +4572,7 @@ class Program_weight_tensor_parameter_382: class Program_weight_tensor_parameter_383: name = "parameter_383" + original_name = "batch_norm2d_5.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -4198,6 +4582,7 @@ class Program_weight_tensor_parameter_383: class Program_weight_tensor_parameter_384: name = "parameter_384" + original_name = "batch_norm2d_5.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -4207,6 +4592,7 @@ class Program_weight_tensor_parameter_384: class Program_weight_tensor_parameter_385: name = "parameter_385" + original_name = "batch_norm2d_5.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -4216,6 +4602,7 @@ class Program_weight_tensor_parameter_385: class Program_weight_tensor_parameter_386: name = "parameter_386" + original_name = "batch_norm2d_5.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -4225,6 +4612,7 @@ class Program_weight_tensor_parameter_386: class Program_weight_tensor_parameter_387: name = "parameter_387" + original_name = "conv2d_5.w_0" shape = [64, 256, 1, 1] dtype = "float32" min_val = float("-0.20172") @@ -4236,6 +4624,7 @@ class Program_weight_tensor_parameter_387: class Program_weight_tensor_parameter_388: name = "parameter_388" + original_name = "batch_norm2d_4.b_0" shape = [256] dtype = "float32" min_val = float("-0.307381") @@ -4247,6 +4636,7 @@ class Program_weight_tensor_parameter_388: class Program_weight_tensor_parameter_389: name = "parameter_389" + original_name = "batch_norm2d_4.w_0" shape = [256] dtype = "float32" min_val = float("-0.0421494") @@ -4258,6 +4648,7 @@ class Program_weight_tensor_parameter_389: class Program_weight_tensor_parameter_390: name = "parameter_390" + original_name = "batch_norm2d_4.w_2" shape = [256] dtype = "float32" min_val = float("4.73803e-14") @@ -4269,6 +4660,7 @@ class Program_weight_tensor_parameter_390: class Program_weight_tensor_parameter_391: name = "parameter_391" + original_name = "batch_norm2d_4.w_1" shape = [256] dtype = "float32" min_val = float("-1.03252") @@ -4280,6 +4672,7 @@ class Program_weight_tensor_parameter_391: class Program_weight_tensor_parameter_392: name = "parameter_392" + original_name = "conv2d_4.w_0" shape = [256, 64, 1, 1] dtype = "float32" min_val = float("-0.744444") @@ -4291,6 +4684,7 @@ class Program_weight_tensor_parameter_392: class Program_weight_tensor_parameter_393: name = "parameter_393" + original_name = "batch_norm2d_3.b_0" shape = [256] dtype = "float32" min_val = float("-0.307381") @@ -4302,6 +4696,7 @@ class Program_weight_tensor_parameter_393: class Program_weight_tensor_parameter_394: name = "parameter_394" + original_name = "batch_norm2d_3.w_0" shape = [256] dtype = "float32" min_val = float("-0.112764") @@ -4313,6 +4708,7 @@ class Program_weight_tensor_parameter_394: class Program_weight_tensor_parameter_395: name = "parameter_395" + original_name = "batch_norm2d_3.w_2" shape = [256] dtype = "float32" min_val = float("1.26218e-14") @@ -4324,6 +4720,7 @@ class Program_weight_tensor_parameter_395: class Program_weight_tensor_parameter_396: name = "parameter_396" + original_name = "batch_norm2d_3.w_1" shape = [256] dtype = "float32" min_val = float("-0.223334") @@ -4335,6 +4732,7 @@ class Program_weight_tensor_parameter_396: class Program_weight_tensor_parameter_397: name = "parameter_397" + original_name = "conv2d_3.w_0" shape = [256, 64, 1, 1] dtype = "float32" min_val = float("-0.363424") @@ -4346,6 +4744,7 @@ class Program_weight_tensor_parameter_397: class Program_weight_tensor_parameter_398: name = "parameter_398" + original_name = "batch_norm2d_2.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -4355,6 +4754,7 @@ class Program_weight_tensor_parameter_398: class Program_weight_tensor_parameter_399: name = "parameter_399" + original_name = "batch_norm2d_2.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -4364,6 +4764,7 @@ class Program_weight_tensor_parameter_399: class Program_weight_tensor_parameter_400: name = "parameter_400" + original_name = "batch_norm2d_2.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -4373,6 +4774,7 @@ class Program_weight_tensor_parameter_400: class Program_weight_tensor_parameter_401: name = "parameter_401" + original_name = "batch_norm2d_2.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -4382,6 +4784,7 @@ class Program_weight_tensor_parameter_401: class Program_weight_tensor_parameter_402: name = "parameter_402" + original_name = "conv2d_2.w_0" shape = [64, 64, 3, 3] dtype = "float32" min_val = float("-0.467864") @@ -4393,6 +4796,7 @@ class Program_weight_tensor_parameter_402: class Program_weight_tensor_parameter_403: name = "parameter_403" + original_name = "batch_norm2d_1.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -4402,6 +4806,7 @@ class Program_weight_tensor_parameter_403: class Program_weight_tensor_parameter_404: name = "parameter_404" + original_name = "batch_norm2d_1.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -4411,6 +4816,7 @@ class Program_weight_tensor_parameter_404: class Program_weight_tensor_parameter_405: name = "parameter_405" + original_name = "batch_norm2d_1.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -4420,6 +4826,7 @@ class Program_weight_tensor_parameter_405: class Program_weight_tensor_parameter_406: name = "parameter_406" + original_name = "batch_norm2d_1.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -4429,6 +4836,7 @@ class Program_weight_tensor_parameter_406: class Program_weight_tensor_parameter_407: name = "parameter_407" + original_name = "conv2d_1.w_0" shape = [64, 64, 1, 1] dtype = "float32" min_val = float("-0.726628") @@ -4440,6 +4848,7 @@ class Program_weight_tensor_parameter_407: class Program_weight_tensor_parameter_408: name = "parameter_408" + original_name = "batch_norm2d_0.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -4449,6 +4858,7 @@ class Program_weight_tensor_parameter_408: class Program_weight_tensor_parameter_409: name = "parameter_409" + original_name = "batch_norm2d_0.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -4458,6 +4868,7 @@ class Program_weight_tensor_parameter_409: class Program_weight_tensor_parameter_410: name = "parameter_410" + original_name = "batch_norm2d_0.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -4467,6 +4878,7 @@ class Program_weight_tensor_parameter_410: class Program_weight_tensor_parameter_411: name = "parameter_411" + original_name = "batch_norm2d_0.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -4476,6 +4888,7 @@ class Program_weight_tensor_parameter_411: class Program_weight_tensor_parameter_412: name = "parameter_412" + original_name = "conv2d_0.w_0" shape = [64, 3, 7, 7] dtype = "float32" min_val = float("-0.781721") diff --git a/paddle_samples/PaddleX/DETR-R50/subgraph_22/input_meta.py b/paddle_samples/PaddleX/DETR-R50/subgraph_22/input_meta.py index abde505c8..3440e3bac 100644 --- a/paddle_samples/PaddleX/DETR-R50/subgraph_22/input_meta.py +++ b/paddle_samples/PaddleX/DETR-R50/subgraph_22/input_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_data_0: name = "data_0" + original_name = "param_100" shape = [768] dtype = "float32" min_val = float("-0.228984") @@ -11,6 +12,7 @@ class Program_weight_tensor_data_0: class Program_weight_tensor_data_1: name = "data_1" + original_name = "param_101" shape = [256, 768] dtype = "float32" min_val = float("-1.69526") @@ -22,6 +24,7 @@ class Program_weight_tensor_data_1: class Program_weight_tensor_data_2: name = "data_2" + original_name = "param_102" shape = [768] dtype = "float32" min_val = float("-0.461151") @@ -33,6 +36,7 @@ class Program_weight_tensor_data_2: class Program_weight_tensor_data_3: name = "data_3" + original_name = "param_103" shape = [256, 768] dtype = "float32" min_val = float("-0.669706") @@ -44,6 +48,7 @@ class Program_weight_tensor_data_3: class Program_weight_tensor_data_4: name = "data_4" + original_name = "param_104" shape = [768] dtype = "float32" min_val = float("-0.201804") @@ -55,6 +60,7 @@ class Program_weight_tensor_data_4: class Program_weight_tensor_data_5: name = "data_5" + original_name = "param_105" shape = [256, 768] dtype = "float32" min_val = float("-2.39623") @@ -66,6 +72,7 @@ class Program_weight_tensor_data_5: class Program_weight_tensor_data_6: name = "data_6" + original_name = "param_106" shape = [768] dtype = "float32" min_val = float("-0.344833") @@ -77,6 +84,7 @@ class Program_weight_tensor_data_6: class Program_weight_tensor_data_7: name = "data_7" + original_name = "param_107" shape = [256, 768] dtype = "float32" min_val = float("-0.408485") @@ -88,6 +96,7 @@ class Program_weight_tensor_data_7: class Program_weight_tensor_data_8: name = "data_8" + original_name = "param_108" shape = [768] dtype = "float32" min_val = float("-0.317629") @@ -99,6 +108,7 @@ class Program_weight_tensor_data_8: class Program_weight_tensor_data_9: name = "data_9" + original_name = "param_109" shape = [256, 768] dtype = "float32" min_val = float("-2.31802") @@ -110,6 +120,7 @@ class Program_weight_tensor_data_9: class Program_weight_tensor_data_10: name = "data_10" + original_name = "param_110" shape = [768] dtype = "float32" min_val = float("-0.447075") @@ -121,6 +132,7 @@ class Program_weight_tensor_data_10: class Program_weight_tensor_data_11: name = "data_11" + original_name = "param_74" shape = [256, 768] dtype = "float32" min_val = float("-1.62901") @@ -132,6 +144,7 @@ class Program_weight_tensor_data_11: class Program_weight_tensor_data_12: name = "data_12" + original_name = "param_75" shape = [768] dtype = "float32" min_val = float("-0.207938") @@ -143,6 +156,7 @@ class Program_weight_tensor_data_12: class Program_weight_tensor_data_13: name = "data_13" + original_name = "param_76" shape = [256, 768] dtype = "float32" min_val = float("-0.618279") @@ -154,6 +168,7 @@ class Program_weight_tensor_data_13: class Program_weight_tensor_data_14: name = "data_14" + original_name = "param_77" shape = [768] dtype = "float32" min_val = float("-0.0817621") @@ -165,6 +180,7 @@ class Program_weight_tensor_data_14: class Program_weight_tensor_data_15: name = "data_15" + original_name = "param_78" shape = [256, 768] dtype = "float32" min_val = float("-1.2091") @@ -176,6 +192,7 @@ class Program_weight_tensor_data_15: class Program_weight_tensor_data_16: name = "data_16" + original_name = "param_79" shape = [768] dtype = "float32" min_val = float("-0.100571") @@ -187,6 +204,7 @@ class Program_weight_tensor_data_16: class Program_weight_tensor_data_17: name = "data_17" + original_name = "param_80" shape = [256, 768] dtype = "float32" min_val = float("-1.53463") @@ -198,6 +216,7 @@ class Program_weight_tensor_data_17: class Program_weight_tensor_data_18: name = "data_18" + original_name = "param_81" shape = [768] dtype = "float32" min_val = float("-0.15162") @@ -209,6 +228,7 @@ class Program_weight_tensor_data_18: class Program_weight_tensor_data_19: name = "data_19" + original_name = "param_82" shape = [256, 768] dtype = "float32" min_val = float("-1.36493") @@ -220,6 +240,7 @@ class Program_weight_tensor_data_19: class Program_weight_tensor_data_20: name = "data_20" + original_name = "param_83" shape = [768] dtype = "float32" min_val = float("-0.0747685") @@ -231,6 +252,7 @@ class Program_weight_tensor_data_20: class Program_weight_tensor_data_21: name = "data_21" + original_name = "param_84" shape = [256, 768] dtype = "float32" min_val = float("-1.53108") @@ -242,6 +264,7 @@ class Program_weight_tensor_data_21: class Program_weight_tensor_data_22: name = "data_22" + original_name = "param_85" shape = [768] dtype = "float32" min_val = float("-0.0553872") @@ -253,6 +276,7 @@ class Program_weight_tensor_data_22: class Program_weight_tensor_data_23: name = "data_23" + original_name = "param_86" shape = [100, 256] dtype = "float32" min_val = float("-4.0263") @@ -264,6 +288,7 @@ class Program_weight_tensor_data_23: class Program_weight_tensor_data_24: name = "data_24" + original_name = "param_87" shape = [256, 768] dtype = "float32" min_val = float("-0.227614") @@ -275,6 +300,7 @@ class Program_weight_tensor_data_24: class Program_weight_tensor_data_25: name = "data_25" + original_name = "param_88" shape = [768] dtype = "float32" min_val = float("-0.306585") @@ -286,6 +312,7 @@ class Program_weight_tensor_data_25: class Program_weight_tensor_data_26: name = "data_26" + original_name = "param_89" shape = [256, 768] dtype = "float32" min_val = float("-1.2845") @@ -297,6 +324,7 @@ class Program_weight_tensor_data_26: class Program_weight_tensor_data_27: name = "data_27" + original_name = "param_90" shape = [768] dtype = "float32" min_val = float("-0.405572") @@ -308,6 +336,7 @@ class Program_weight_tensor_data_27: class Program_weight_tensor_data_28: name = "data_28" + original_name = "param_91" shape = [256, 768] dtype = "float32" min_val = float("-0.526977") @@ -319,6 +348,7 @@ class Program_weight_tensor_data_28: class Program_weight_tensor_data_29: name = "data_29" + original_name = "param_92" shape = [768] dtype = "float32" min_val = float("-0.190626") @@ -330,6 +360,7 @@ class Program_weight_tensor_data_29: class Program_weight_tensor_data_30: name = "data_30" + original_name = "param_93" shape = [256, 768] dtype = "float32" min_val = float("-1.84811") @@ -341,6 +372,7 @@ class Program_weight_tensor_data_30: class Program_weight_tensor_data_31: name = "data_31" + original_name = "param_94" shape = [768] dtype = "float32" min_val = float("-0.368047") @@ -352,6 +384,7 @@ class Program_weight_tensor_data_31: class Program_weight_tensor_data_32: name = "data_32" + original_name = "param_95" shape = [256, 768] dtype = "float32" min_val = float("-0.727782") @@ -363,6 +396,7 @@ class Program_weight_tensor_data_32: class Program_weight_tensor_data_33: name = "data_33" + original_name = "param_96" shape = [768] dtype = "float32" min_val = float("-0.138692") @@ -374,6 +408,7 @@ class Program_weight_tensor_data_33: class Program_weight_tensor_data_34: name = "data_34" + original_name = "param_97" shape = [256, 768] dtype = "float32" min_val = float("-2.28685") @@ -385,6 +420,7 @@ class Program_weight_tensor_data_34: class Program_weight_tensor_data_35: name = "data_35" + original_name = "param_98" shape = [768] dtype = "float32" min_val = float("-0.413075") @@ -396,6 +432,7 @@ class Program_weight_tensor_data_35: class Program_weight_tensor_data_36: name = "data_36" + original_name = "param_99" shape = [256, 768] dtype = "float32" min_val = float("-0.468995") @@ -407,6 +444,7 @@ class Program_weight_tensor_data_36: class Program_weight_tensor_data_37: name = "data_37" + original_name = "var_1897" shape = [4, 3, 853, 672] dtype = "float32" min_val = float("-2.1179") @@ -418,8 +456,10 @@ class Program_weight_tensor_data_37: class Program_weight_tensor_data_38: name = "data_38" + original_name = "var_1900" shape = [4, 853, 672] dtype = "float32" + min_val = float("0.0") max_val = float("1.0") mean = float("0.812887") std = float("0.390002") diff --git a/paddle_samples/PaddleX/DETR-R50/subgraph_22/weight_meta.py b/paddle_samples/PaddleX/DETR-R50/subgraph_22/weight_meta.py index c5e57d1f4..a56da9c30 100644 --- a/paddle_samples/PaddleX/DETR-R50/subgraph_22/weight_meta.py +++ b/paddle_samples/PaddleX/DETR-R50/subgraph_22/weight_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_parameter_0: name = "parameter_0" + original_name = "layer_norm_4.b_0_deepcopy_179" shape = [256] dtype = "float32" min_val = float("-0.393705") @@ -11,6 +12,7 @@ class Program_weight_tensor_parameter_0: class Program_weight_tensor_parameter_1: name = "parameter_1" + original_name = "layer_norm_4.w_0_deepcopy_178" shape = [256] dtype = "float32" min_val = float("0.534084") @@ -22,6 +24,7 @@ class Program_weight_tensor_parameter_1: class Program_weight_tensor_parameter_2: name = "parameter_2" + original_name = "linear_6.b_0_deepcopy_173" shape = [256] dtype = "float32" min_val = float("-0.0931587") @@ -33,6 +36,7 @@ class Program_weight_tensor_parameter_2: class Program_weight_tensor_parameter_3: name = "parameter_3" + original_name = "linear_6.w_0_deepcopy_172" shape = [2048, 256] dtype = "float32" min_val = float("-0.687304") @@ -44,6 +48,7 @@ class Program_weight_tensor_parameter_3: class Program_weight_tensor_parameter_4: name = "parameter_4" + original_name = "linear_5.b_0_deepcopy_171" shape = [2048] dtype = "float32" min_val = float("-0.302835") @@ -55,6 +60,7 @@ class Program_weight_tensor_parameter_4: class Program_weight_tensor_parameter_5: name = "parameter_5" + original_name = "linear_5.w_0_deepcopy_170" shape = [256, 2048] dtype = "float32" min_val = float("-0.561115") @@ -66,6 +72,7 @@ class Program_weight_tensor_parameter_5: class Program_weight_tensor_parameter_6: name = "parameter_6" + original_name = "layer_norm_3.b_0_deepcopy_177" shape = [256] dtype = "float32" min_val = float("-1.0928") @@ -77,6 +84,7 @@ class Program_weight_tensor_parameter_6: class Program_weight_tensor_parameter_7: name = "parameter_7" + original_name = "layer_norm_3.w_0_deepcopy_176" shape = [256] dtype = "float32" min_val = float("0.789126") @@ -88,6 +96,7 @@ class Program_weight_tensor_parameter_7: class Program_weight_tensor_parameter_8: name = "parameter_8" + original_name = "linear_4.b_0_deepcopy_169" shape = [256] dtype = "float32" min_val = float("-0.207533") @@ -99,6 +108,7 @@ class Program_weight_tensor_parameter_8: class Program_weight_tensor_parameter_9: name = "parameter_9" + original_name = "linear_4.w_0_deepcopy_168" shape = [256, 256] dtype = "float32" min_val = float("-0.507973") @@ -110,6 +120,7 @@ class Program_weight_tensor_parameter_9: class Program_weight_tensor_parameter_10: name = "parameter_10" + original_name = "layer_norm_2.b_0_deepcopy_175" shape = [256] dtype = "float32" min_val = float("-0.774714") @@ -121,6 +132,7 @@ class Program_weight_tensor_parameter_10: class Program_weight_tensor_parameter_11: name = "parameter_11" + original_name = "layer_norm_2.w_0_deepcopy_174" shape = [256] dtype = "float32" min_val = float("1.37221") @@ -132,6 +144,7 @@ class Program_weight_tensor_parameter_11: class Program_weight_tensor_parameter_12: name = "parameter_12" + original_name = "linear_3.b_0_deepcopy_165" shape = [256] dtype = "float32" min_val = float("-0.0269334") @@ -143,6 +156,7 @@ class Program_weight_tensor_parameter_12: class Program_weight_tensor_parameter_13: name = "parameter_13" + original_name = "linear_3.w_0_deepcopy_164" shape = [256, 256] dtype = "float32" min_val = float("-0.233367") @@ -154,6 +168,7 @@ class Program_weight_tensor_parameter_13: class Program_weight_tensor_parameter_14: name = "parameter_14" + original_name = "layer_norm_4.b_0_deepcopy_161" shape = [256] dtype = "float32" min_val = float("-0.437609") @@ -165,6 +180,7 @@ class Program_weight_tensor_parameter_14: class Program_weight_tensor_parameter_15: name = "parameter_15" + original_name = "layer_norm_4.w_0_deepcopy_160" shape = [256] dtype = "float32" min_val = float("0.509709") @@ -176,6 +192,7 @@ class Program_weight_tensor_parameter_15: class Program_weight_tensor_parameter_16: name = "parameter_16" + original_name = "linear_6.b_0_deepcopy_155" shape = [256] dtype = "float32" min_val = float("-0.17298") @@ -187,6 +204,7 @@ class Program_weight_tensor_parameter_16: class Program_weight_tensor_parameter_17: name = "parameter_17" + original_name = "linear_6.w_0_deepcopy_154" shape = [2048, 256] dtype = "float32" min_val = float("-0.749645") @@ -198,6 +216,7 @@ class Program_weight_tensor_parameter_17: class Program_weight_tensor_parameter_18: name = "parameter_18" + original_name = "linear_5.b_0_deepcopy_153" shape = [2048] dtype = "float32" min_val = float("-0.307084") @@ -209,6 +228,7 @@ class Program_weight_tensor_parameter_18: class Program_weight_tensor_parameter_19: name = "parameter_19" + original_name = "linear_5.w_0_deepcopy_152" shape = [256, 2048] dtype = "float32" min_val = float("-0.645936") @@ -220,6 +240,7 @@ class Program_weight_tensor_parameter_19: class Program_weight_tensor_parameter_20: name = "parameter_20" + original_name = "layer_norm_3.b_0_deepcopy_159" shape = [256] dtype = "float32" min_val = float("-1.42897") @@ -231,6 +252,7 @@ class Program_weight_tensor_parameter_20: class Program_weight_tensor_parameter_21: name = "parameter_21" + original_name = "layer_norm_3.w_0_deepcopy_158" shape = [256] dtype = "float32" min_val = float("0.653936") @@ -242,6 +264,7 @@ class Program_weight_tensor_parameter_21: class Program_weight_tensor_parameter_22: name = "parameter_22" + original_name = "linear_4.b_0_deepcopy_151" shape = [256] dtype = "float32" min_val = float("-0.316756") @@ -253,6 +276,7 @@ class Program_weight_tensor_parameter_22: class Program_weight_tensor_parameter_23: name = "parameter_23" + original_name = "linear_4.w_0_deepcopy_150" shape = [256, 256] dtype = "float32" min_val = float("-0.503013") @@ -264,6 +288,7 @@ class Program_weight_tensor_parameter_23: class Program_weight_tensor_parameter_24: name = "parameter_24" + original_name = "layer_norm_2.b_0_deepcopy_157" shape = [256] dtype = "float32" min_val = float("-0.992961") @@ -275,6 +300,7 @@ class Program_weight_tensor_parameter_24: class Program_weight_tensor_parameter_25: name = "parameter_25" + original_name = "layer_norm_2.w_0_deepcopy_156" shape = [256] dtype = "float32" min_val = float("1.46496") @@ -286,6 +312,7 @@ class Program_weight_tensor_parameter_25: class Program_weight_tensor_parameter_26: name = "parameter_26" + original_name = "linear_3.b_0_deepcopy_147" shape = [256] dtype = "float32" min_val = float("-0.053665") @@ -297,6 +324,7 @@ class Program_weight_tensor_parameter_26: class Program_weight_tensor_parameter_27: name = "parameter_27" + original_name = "linear_3.w_0_deepcopy_146" shape = [256, 256] dtype = "float32" min_val = float("-0.202348") @@ -308,6 +336,7 @@ class Program_weight_tensor_parameter_27: class Program_weight_tensor_parameter_28: name = "parameter_28" + original_name = "layer_norm_4.b_0_deepcopy_143" shape = [256] dtype = "float32" min_val = float("-0.677249") @@ -319,6 +348,7 @@ class Program_weight_tensor_parameter_28: class Program_weight_tensor_parameter_29: name = "parameter_29" + original_name = "layer_norm_4.w_0_deepcopy_142" shape = [256] dtype = "float32" min_val = float("0.560256") @@ -330,6 +360,7 @@ class Program_weight_tensor_parameter_29: class Program_weight_tensor_parameter_30: name = "parameter_30" + original_name = "linear_6.b_0_deepcopy_137" shape = [256] dtype = "float32" min_val = float("-0.255858") @@ -341,6 +372,7 @@ class Program_weight_tensor_parameter_30: class Program_weight_tensor_parameter_31: name = "parameter_31" + original_name = "linear_6.w_0_deepcopy_136" shape = [2048, 256] dtype = "float32" min_val = float("-0.829315") @@ -352,6 +384,7 @@ class Program_weight_tensor_parameter_31: class Program_weight_tensor_parameter_32: name = "parameter_32" + original_name = "linear_5.b_0_deepcopy_135" shape = [2048] dtype = "float32" min_val = float("-0.345106") @@ -363,6 +396,7 @@ class Program_weight_tensor_parameter_32: class Program_weight_tensor_parameter_33: name = "parameter_33" + original_name = "linear_5.w_0_deepcopy_134" shape = [256, 2048] dtype = "float32" min_val = float("-0.597944") @@ -374,6 +408,7 @@ class Program_weight_tensor_parameter_33: class Program_weight_tensor_parameter_34: name = "parameter_34" + original_name = "layer_norm_3.b_0_deepcopy_141" shape = [256] dtype = "float32" min_val = float("-1.46905") @@ -385,6 +420,7 @@ class Program_weight_tensor_parameter_34: class Program_weight_tensor_parameter_35: name = "parameter_35" + original_name = "layer_norm_3.w_0_deepcopy_140" shape = [256] dtype = "float32" min_val = float("0.656466") @@ -396,6 +432,7 @@ class Program_weight_tensor_parameter_35: class Program_weight_tensor_parameter_36: name = "parameter_36" + original_name = "linear_4.b_0_deepcopy_133" shape = [256] dtype = "float32" min_val = float("-0.494582") @@ -407,6 +444,7 @@ class Program_weight_tensor_parameter_36: class Program_weight_tensor_parameter_37: name = "parameter_37" + original_name = "linear_4.w_0_deepcopy_132" shape = [256, 256] dtype = "float32" min_val = float("-0.479309") @@ -418,6 +456,7 @@ class Program_weight_tensor_parameter_37: class Program_weight_tensor_parameter_38: name = "parameter_38" + original_name = "layer_norm_2.b_0_deepcopy_139" shape = [256] dtype = "float32" min_val = float("-0.885359") @@ -429,6 +468,7 @@ class Program_weight_tensor_parameter_38: class Program_weight_tensor_parameter_39: name = "parameter_39" + original_name = "layer_norm_2.w_0_deepcopy_138" shape = [256] dtype = "float32" min_val = float("1.08342") @@ -440,6 +480,7 @@ class Program_weight_tensor_parameter_39: class Program_weight_tensor_parameter_40: name = "parameter_40" + original_name = "linear_3.b_0_deepcopy_129" shape = [256] dtype = "float32" min_val = float("-0.0892119") @@ -451,6 +492,7 @@ class Program_weight_tensor_parameter_40: class Program_weight_tensor_parameter_41: name = "parameter_41" + original_name = "linear_3.w_0_deepcopy_128" shape = [256, 256] dtype = "float32" min_val = float("-0.278704") @@ -462,6 +504,7 @@ class Program_weight_tensor_parameter_41: class Program_weight_tensor_parameter_42: name = "parameter_42" + original_name = "layer_norm_4.b_0_deepcopy_125" shape = [256] dtype = "float32" min_val = float("-0.44714") @@ -473,6 +516,7 @@ class Program_weight_tensor_parameter_42: class Program_weight_tensor_parameter_43: name = "parameter_43" + original_name = "layer_norm_4.w_0_deepcopy_124" shape = [256] dtype = "float32" min_val = float("0.466304") @@ -484,6 +528,7 @@ class Program_weight_tensor_parameter_43: class Program_weight_tensor_parameter_44: name = "parameter_44" + original_name = "linear_6.b_0_deepcopy_119" shape = [256] dtype = "float32" min_val = float("-0.324735") @@ -495,6 +540,7 @@ class Program_weight_tensor_parameter_44: class Program_weight_tensor_parameter_45: name = "parameter_45" + original_name = "linear_6.w_0_deepcopy_118" shape = [2048, 256] dtype = "float32" min_val = float("-0.505096") @@ -506,6 +552,7 @@ class Program_weight_tensor_parameter_45: class Program_weight_tensor_parameter_46: name = "parameter_46" + original_name = "linear_5.b_0_deepcopy_117" shape = [2048] dtype = "float32" min_val = float("-0.327804") @@ -517,6 +564,7 @@ class Program_weight_tensor_parameter_46: class Program_weight_tensor_parameter_47: name = "parameter_47" + original_name = "linear_5.w_0_deepcopy_116" shape = [256, 2048] dtype = "float32" min_val = float("-0.650782") @@ -528,6 +576,7 @@ class Program_weight_tensor_parameter_47: class Program_weight_tensor_parameter_48: name = "parameter_48" + original_name = "layer_norm_3.b_0_deepcopy_123" shape = [256] dtype = "float32" min_val = float("-1.65808") @@ -539,6 +588,7 @@ class Program_weight_tensor_parameter_48: class Program_weight_tensor_parameter_49: name = "parameter_49" + original_name = "layer_norm_3.w_0_deepcopy_122" shape = [256] dtype = "float32" min_val = float("0.628074") @@ -550,6 +600,7 @@ class Program_weight_tensor_parameter_49: class Program_weight_tensor_parameter_50: name = "parameter_50" + original_name = "linear_4.b_0_deepcopy_115" shape = [256] dtype = "float32" min_val = float("-0.580944") @@ -561,6 +612,7 @@ class Program_weight_tensor_parameter_50: class Program_weight_tensor_parameter_51: name = "parameter_51" + original_name = "linear_4.w_0_deepcopy_114" shape = [256, 256] dtype = "float32" min_val = float("-0.504439") @@ -572,6 +624,7 @@ class Program_weight_tensor_parameter_51: class Program_weight_tensor_parameter_52: name = "parameter_52" + original_name = "layer_norm_2.b_0_deepcopy_121" shape = [256] dtype = "float32" min_val = float("-0.912433") @@ -583,6 +636,7 @@ class Program_weight_tensor_parameter_52: class Program_weight_tensor_parameter_53: name = "parameter_53" + original_name = "layer_norm_2.w_0_deepcopy_120" shape = [256] dtype = "float32" min_val = float("0.939735") @@ -594,6 +648,7 @@ class Program_weight_tensor_parameter_53: class Program_weight_tensor_parameter_54: name = "parameter_54" + original_name = "linear_3.b_0_deepcopy_111" shape = [256] dtype = "float32" min_val = float("-0.110561") @@ -605,6 +660,7 @@ class Program_weight_tensor_parameter_54: class Program_weight_tensor_parameter_55: name = "parameter_55" + original_name = "linear_3.w_0_deepcopy_110" shape = [256, 256] dtype = "float32" min_val = float("-0.220489") @@ -616,6 +672,7 @@ class Program_weight_tensor_parameter_55: class Program_weight_tensor_parameter_56: name = "parameter_56" + original_name = "layer_norm_4.b_0_deepcopy_107" shape = [256] dtype = "float32" min_val = float("-0.637654") @@ -627,6 +684,7 @@ class Program_weight_tensor_parameter_56: class Program_weight_tensor_parameter_57: name = "parameter_57" + original_name = "layer_norm_4.w_0_deepcopy_106" shape = [256] dtype = "float32" min_val = float("0.397138") @@ -638,6 +696,7 @@ class Program_weight_tensor_parameter_57: class Program_weight_tensor_parameter_58: name = "parameter_58" + original_name = "linear_6.b_0_deepcopy_101" shape = [256] dtype = "float32" min_val = float("-0.428663") @@ -649,6 +708,7 @@ class Program_weight_tensor_parameter_58: class Program_weight_tensor_parameter_59: name = "parameter_59" + original_name = "linear_6.w_0_deepcopy_100" shape = [2048, 256] dtype = "float32" min_val = float("-0.603618") @@ -660,6 +720,7 @@ class Program_weight_tensor_parameter_59: class Program_weight_tensor_parameter_60: name = "parameter_60" + original_name = "linear_5.b_0_deepcopy_99" shape = [2048] dtype = "float32" min_val = float("-0.375293") @@ -671,6 +732,7 @@ class Program_weight_tensor_parameter_60: class Program_weight_tensor_parameter_61: name = "parameter_61" + original_name = "linear_5.w_0_deepcopy_98" shape = [256, 2048] dtype = "float32" min_val = float("-0.53905") @@ -682,6 +744,7 @@ class Program_weight_tensor_parameter_61: class Program_weight_tensor_parameter_62: name = "parameter_62" + original_name = "layer_norm_3.b_0_deepcopy_105" shape = [256] dtype = "float32" min_val = float("-2.10583") @@ -693,6 +756,7 @@ class Program_weight_tensor_parameter_62: class Program_weight_tensor_parameter_63: name = "parameter_63" + original_name = "layer_norm_3.w_0_deepcopy_104" shape = [256] dtype = "float32" min_val = float("0.531996") @@ -704,6 +768,7 @@ class Program_weight_tensor_parameter_63: class Program_weight_tensor_parameter_64: name = "parameter_64" + original_name = "linear_4.b_0_deepcopy_97" shape = [256] dtype = "float32" min_val = float("-0.543047") @@ -715,6 +780,7 @@ class Program_weight_tensor_parameter_64: class Program_weight_tensor_parameter_65: name = "parameter_65" + original_name = "linear_4.w_0_deepcopy_96" shape = [256, 256] dtype = "float32" min_val = float("-0.58434") @@ -726,6 +792,7 @@ class Program_weight_tensor_parameter_65: class Program_weight_tensor_parameter_66: name = "parameter_66" + original_name = "layer_norm_2.b_0_deepcopy_103" shape = [256] dtype = "float32" min_val = float("-0.960798") @@ -737,6 +804,7 @@ class Program_weight_tensor_parameter_66: class Program_weight_tensor_parameter_67: name = "parameter_67" + original_name = "layer_norm_2.w_0_deepcopy_102" shape = [256] dtype = "float32" min_val = float("0.475936") @@ -748,6 +816,7 @@ class Program_weight_tensor_parameter_67: class Program_weight_tensor_parameter_68: name = "parameter_68" + original_name = "linear_3.b_0_deepcopy_93" shape = [256] dtype = "float32" min_val = float("-0.198981") @@ -759,6 +828,7 @@ class Program_weight_tensor_parameter_68: class Program_weight_tensor_parameter_69: name = "parameter_69" + original_name = "linear_3.w_0_deepcopy_92" shape = [256, 256] dtype = "float32" min_val = float("-0.406683") @@ -770,6 +840,7 @@ class Program_weight_tensor_parameter_69: class Program_weight_tensor_parameter_70: name = "parameter_70" + original_name = "layer_norm_5.b_0" shape = [256] dtype = "float32" min_val = float("-0.498112") @@ -781,6 +852,7 @@ class Program_weight_tensor_parameter_70: class Program_weight_tensor_parameter_71: name = "parameter_71" + original_name = "layer_norm_5.w_0" shape = [256] dtype = "float32" min_val = float("0.105241") @@ -792,6 +864,7 @@ class Program_weight_tensor_parameter_71: class Program_weight_tensor_parameter_72: name = "parameter_72" + original_name = "layer_norm_4.b_0_deepcopy_89" shape = [256] dtype = "float32" min_val = float("-1.56296") @@ -803,6 +876,7 @@ class Program_weight_tensor_parameter_72: class Program_weight_tensor_parameter_73: name = "parameter_73" + original_name = "layer_norm_4.w_0_deepcopy_88" shape = [256] dtype = "float32" min_val = float("0.153333") @@ -814,6 +888,7 @@ class Program_weight_tensor_parameter_73: class Program_weight_tensor_parameter_74: name = "parameter_74" + original_name = "linear_6.b_0_deepcopy_83" shape = [256] dtype = "float32" min_val = float("-0.923423") @@ -825,6 +900,7 @@ class Program_weight_tensor_parameter_74: class Program_weight_tensor_parameter_75: name = "parameter_75" + original_name = "linear_6.w_0_deepcopy_82" shape = [2048, 256] dtype = "float32" min_val = float("-0.957782") @@ -836,6 +912,7 @@ class Program_weight_tensor_parameter_75: class Program_weight_tensor_parameter_76: name = "parameter_76" + original_name = "linear_5.b_0_deepcopy_81" shape = [2048] dtype = "float32" min_val = float("-0.281287") @@ -847,6 +924,7 @@ class Program_weight_tensor_parameter_76: class Program_weight_tensor_parameter_77: name = "parameter_77" + original_name = "linear_5.w_0_deepcopy_80" shape = [256, 2048] dtype = "float32" min_val = float("-1.17008") @@ -858,6 +936,7 @@ class Program_weight_tensor_parameter_77: class Program_weight_tensor_parameter_78: name = "parameter_78" + original_name = "layer_norm_3.b_0_deepcopy_87" shape = [256] dtype = "float32" min_val = float("-2.54771") @@ -869,6 +948,7 @@ class Program_weight_tensor_parameter_78: class Program_weight_tensor_parameter_79: name = "parameter_79" + original_name = "layer_norm_3.w_0_deepcopy_86" shape = [256] dtype = "float32" min_val = float("0.43419") @@ -880,6 +960,7 @@ class Program_weight_tensor_parameter_79: class Program_weight_tensor_parameter_80: name = "parameter_80" + original_name = "linear_4.b_0_deepcopy_79" shape = [256] dtype = "float32" min_val = float("-0.572273") @@ -891,6 +972,7 @@ class Program_weight_tensor_parameter_80: class Program_weight_tensor_parameter_81: name = "parameter_81" + original_name = "linear_4.w_0_deepcopy_78" shape = [256, 256] dtype = "float32" min_val = float("-0.972671") @@ -902,6 +984,7 @@ class Program_weight_tensor_parameter_81: class Program_weight_tensor_parameter_82: name = "parameter_82" + original_name = "layer_norm_2.b_0_deepcopy_85" shape = [256] dtype = "float32" min_val = float("-1.12168") @@ -913,6 +996,7 @@ class Program_weight_tensor_parameter_82: class Program_weight_tensor_parameter_83: name = "parameter_83" + original_name = "layer_norm_2.w_0_deepcopy_84" shape = [256] dtype = "float32" min_val = float("-0.0288819") @@ -924,6 +1008,7 @@ class Program_weight_tensor_parameter_83: class Program_weight_tensor_parameter_84: name = "parameter_84" + original_name = "linear_3.b_0_deepcopy_75" shape = [256] dtype = "float32" min_val = float("-1.59146") @@ -935,6 +1020,7 @@ class Program_weight_tensor_parameter_84: class Program_weight_tensor_parameter_85: name = "parameter_85" + original_name = "linear_3.w_0_deepcopy_74" shape = [256, 256] dtype = "float32" min_val = float("-2.14507") @@ -946,6 +1032,7 @@ class Program_weight_tensor_parameter_85: class Program_weight_tensor_parameter_86: name = "parameter_86" + original_name = "layer_norm_1.b_0_deepcopy_71" shape = [256] dtype = "float32" min_val = float("-1.06951") @@ -957,6 +1044,7 @@ class Program_weight_tensor_parameter_86: class Program_weight_tensor_parameter_87: name = "parameter_87" + original_name = "layer_norm_1.w_0_deepcopy_70" shape = [256] dtype = "float32" min_val = float("0.00127215") @@ -968,6 +1056,7 @@ class Program_weight_tensor_parameter_87: class Program_weight_tensor_parameter_88: name = "parameter_88" + original_name = "linear_2.b_0_deepcopy_67" shape = [256] dtype = "float32" min_val = float("-0.18939") @@ -979,6 +1068,7 @@ class Program_weight_tensor_parameter_88: class Program_weight_tensor_parameter_89: name = "parameter_89" + original_name = "linear_2.w_0_deepcopy_66" shape = [2048, 256] dtype = "float32" min_val = float("-1.09652") @@ -990,6 +1080,7 @@ class Program_weight_tensor_parameter_89: class Program_weight_tensor_parameter_90: name = "parameter_90" + original_name = "linear_1.b_0_deepcopy_65" shape = [2048] dtype = "float32" min_val = float("-0.182248") @@ -1001,6 +1092,7 @@ class Program_weight_tensor_parameter_90: class Program_weight_tensor_parameter_91: name = "parameter_91" + original_name = "linear_1.w_0_deepcopy_64" shape = [256, 2048] dtype = "float32" min_val = float("-0.635799") @@ -1012,6 +1104,7 @@ class Program_weight_tensor_parameter_91: class Program_weight_tensor_parameter_92: name = "parameter_92" + original_name = "layer_norm_0.b_0_deepcopy_69" shape = [256] dtype = "float32" min_val = float("-1.50186") @@ -1023,6 +1116,7 @@ class Program_weight_tensor_parameter_92: class Program_weight_tensor_parameter_93: name = "parameter_93" + original_name = "layer_norm_0.w_0_deepcopy_68" shape = [256] dtype = "float32" min_val = float("0.344353") @@ -1034,6 +1128,7 @@ class Program_weight_tensor_parameter_93: class Program_weight_tensor_parameter_94: name = "parameter_94" + original_name = "linear_0.b_0_deepcopy_63" shape = [256] dtype = "float32" min_val = float("-0.224462") @@ -1045,6 +1140,7 @@ class Program_weight_tensor_parameter_94: class Program_weight_tensor_parameter_95: name = "parameter_95" + original_name = "linear_0.w_0_deepcopy_62" shape = [256, 256] dtype = "float32" min_val = float("-0.573158") @@ -1056,6 +1152,7 @@ class Program_weight_tensor_parameter_95: class Program_weight_tensor_parameter_96: name = "parameter_96" + original_name = "layer_norm_1.b_0_deepcopy_59" shape = [256] dtype = "float32" min_val = float("-0.400377") @@ -1067,6 +1164,7 @@ class Program_weight_tensor_parameter_96: class Program_weight_tensor_parameter_97: name = "parameter_97" + original_name = "layer_norm_1.w_0_deepcopy_58" shape = [256] dtype = "float32" min_val = float("-0.010702") @@ -1078,6 +1176,7 @@ class Program_weight_tensor_parameter_97: class Program_weight_tensor_parameter_98: name = "parameter_98" + original_name = "linear_2.b_0_deepcopy_55" shape = [256] dtype = "float32" min_val = float("-0.380183") @@ -1089,6 +1188,7 @@ class Program_weight_tensor_parameter_98: class Program_weight_tensor_parameter_99: name = "parameter_99" + original_name = "linear_2.w_0_deepcopy_54" shape = [2048, 256] dtype = "float32" min_val = float("-1.42445") @@ -1100,6 +1200,7 @@ class Program_weight_tensor_parameter_99: class Program_weight_tensor_parameter_100: name = "parameter_100" + original_name = "linear_1.b_0_deepcopy_53" shape = [2048] dtype = "float32" min_val = float("-0.168442") @@ -1111,6 +1212,7 @@ class Program_weight_tensor_parameter_100: class Program_weight_tensor_parameter_101: name = "parameter_101" + original_name = "linear_1.w_0_deepcopy_52" shape = [256, 2048] dtype = "float32" min_val = float("-0.672108") @@ -1122,6 +1224,7 @@ class Program_weight_tensor_parameter_101: class Program_weight_tensor_parameter_102: name = "parameter_102" + original_name = "layer_norm_0.b_0_deepcopy_57" shape = [256] dtype = "float32" min_val = float("-2.06646") @@ -1133,6 +1236,7 @@ class Program_weight_tensor_parameter_102: class Program_weight_tensor_parameter_103: name = "parameter_103" + original_name = "layer_norm_0.w_0_deepcopy_56" shape = [256] dtype = "float32" min_val = float("0.0932801") @@ -1144,6 +1248,7 @@ class Program_weight_tensor_parameter_103: class Program_weight_tensor_parameter_104: name = "parameter_104" + original_name = "linear_0.b_0_deepcopy_51" shape = [256] dtype = "float32" min_val = float("-0.7267") @@ -1155,6 +1260,7 @@ class Program_weight_tensor_parameter_104: class Program_weight_tensor_parameter_105: name = "parameter_105" + original_name = "linear_0.w_0_deepcopy_50" shape = [256, 256] dtype = "float32" min_val = float("-0.439426") @@ -1166,6 +1272,7 @@ class Program_weight_tensor_parameter_105: class Program_weight_tensor_parameter_106: name = "parameter_106" + original_name = "layer_norm_1.b_0_deepcopy_47" shape = [256] dtype = "float32" min_val = float("-0.753834") @@ -1177,6 +1284,7 @@ class Program_weight_tensor_parameter_106: class Program_weight_tensor_parameter_107: name = "parameter_107" + original_name = "layer_norm_1.w_0_deepcopy_46" shape = [256] dtype = "float32" min_val = float("-0.00412211") @@ -1188,6 +1296,7 @@ class Program_weight_tensor_parameter_107: class Program_weight_tensor_parameter_108: name = "parameter_108" + original_name = "linear_2.b_0_deepcopy_43" shape = [256] dtype = "float32" min_val = float("-0.512278") @@ -1199,6 +1308,7 @@ class Program_weight_tensor_parameter_108: class Program_weight_tensor_parameter_109: name = "parameter_109" + original_name = "linear_2.w_0_deepcopy_42" shape = [2048, 256] dtype = "float32" min_val = float("-1.47307") @@ -1210,6 +1320,7 @@ class Program_weight_tensor_parameter_109: class Program_weight_tensor_parameter_110: name = "parameter_110" + original_name = "linear_1.b_0_deepcopy_41" shape = [2048] dtype = "float32" min_val = float("-0.157579") @@ -1221,6 +1332,7 @@ class Program_weight_tensor_parameter_110: class Program_weight_tensor_parameter_111: name = "parameter_111" + original_name = "linear_1.w_0_deepcopy_40" shape = [256, 2048] dtype = "float32" min_val = float("-0.559803") @@ -1232,6 +1344,7 @@ class Program_weight_tensor_parameter_111: class Program_weight_tensor_parameter_112: name = "parameter_112" + original_name = "layer_norm_0.b_0_deepcopy_45" shape = [256] dtype = "float32" min_val = float("-1.91229") @@ -1243,6 +1356,7 @@ class Program_weight_tensor_parameter_112: class Program_weight_tensor_parameter_113: name = "parameter_113" + original_name = "layer_norm_0.w_0_deepcopy_44" shape = [256] dtype = "float32" min_val = float("0.128") @@ -1254,6 +1368,7 @@ class Program_weight_tensor_parameter_113: class Program_weight_tensor_parameter_114: name = "parameter_114" + original_name = "linear_0.b_0_deepcopy_39" shape = [256] dtype = "float32" min_val = float("-0.806081") @@ -1265,6 +1380,7 @@ class Program_weight_tensor_parameter_114: class Program_weight_tensor_parameter_115: name = "parameter_115" + original_name = "linear_0.w_0_deepcopy_38" shape = [256, 256] dtype = "float32" min_val = float("-0.588644") @@ -1276,6 +1392,7 @@ class Program_weight_tensor_parameter_115: class Program_weight_tensor_parameter_116: name = "parameter_116" + original_name = "layer_norm_1.b_0_deepcopy_35" shape = [256] dtype = "float32" min_val = float("-1.00999") @@ -1287,6 +1404,7 @@ class Program_weight_tensor_parameter_116: class Program_weight_tensor_parameter_117: name = "parameter_117" + original_name = "layer_norm_1.w_0_deepcopy_34" shape = [256] dtype = "float32" min_val = float("0.00380956") @@ -1298,6 +1416,7 @@ class Program_weight_tensor_parameter_117: class Program_weight_tensor_parameter_118: name = "parameter_118" + original_name = "linear_2.b_0_deepcopy_31" shape = [256] dtype = "float32" min_val = float("-0.5877") @@ -1309,6 +1428,7 @@ class Program_weight_tensor_parameter_118: class Program_weight_tensor_parameter_119: name = "parameter_119" + original_name = "linear_2.w_0_deepcopy_30" shape = [2048, 256] dtype = "float32" min_val = float("-1.27426") @@ -1320,6 +1440,7 @@ class Program_weight_tensor_parameter_119: class Program_weight_tensor_parameter_120: name = "parameter_120" + original_name = "linear_1.b_0_deepcopy_29" shape = [2048] dtype = "float32" min_val = float("-0.17444") @@ -1331,6 +1452,7 @@ class Program_weight_tensor_parameter_120: class Program_weight_tensor_parameter_121: name = "parameter_121" + original_name = "linear_1.w_0_deepcopy_28" shape = [256, 2048] dtype = "float32" min_val = float("-0.689465") @@ -1342,6 +1464,7 @@ class Program_weight_tensor_parameter_121: class Program_weight_tensor_parameter_122: name = "parameter_122" + original_name = "layer_norm_0.b_0_deepcopy_33" shape = [256] dtype = "float32" min_val = float("-1.76525") @@ -1353,6 +1476,7 @@ class Program_weight_tensor_parameter_122: class Program_weight_tensor_parameter_123: name = "parameter_123" + original_name = "layer_norm_0.w_0_deepcopy_32" shape = [256] dtype = "float32" min_val = float("0.232611") @@ -1364,6 +1488,7 @@ class Program_weight_tensor_parameter_123: class Program_weight_tensor_parameter_124: name = "parameter_124" + original_name = "linear_0.b_0_deepcopy_27" shape = [256] dtype = "float32" min_val = float("-0.705862") @@ -1375,6 +1500,7 @@ class Program_weight_tensor_parameter_124: class Program_weight_tensor_parameter_125: name = "parameter_125" + original_name = "linear_0.w_0_deepcopy_26" shape = [256, 256] dtype = "float32" min_val = float("-0.440333") @@ -1386,6 +1512,7 @@ class Program_weight_tensor_parameter_125: class Program_weight_tensor_parameter_126: name = "parameter_126" + original_name = "layer_norm_1.b_0_deepcopy_23" shape = [256] dtype = "float32" min_val = float("-0.922886") @@ -1397,6 +1524,7 @@ class Program_weight_tensor_parameter_126: class Program_weight_tensor_parameter_127: name = "parameter_127" + original_name = "layer_norm_1.w_0_deepcopy_22" shape = [256] dtype = "float32" min_val = float("0.00558528") @@ -1408,6 +1536,7 @@ class Program_weight_tensor_parameter_127: class Program_weight_tensor_parameter_128: name = "parameter_128" + original_name = "linear_2.b_0_deepcopy_19" shape = [256] dtype = "float32" min_val = float("-0.704768") @@ -1419,6 +1548,7 @@ class Program_weight_tensor_parameter_128: class Program_weight_tensor_parameter_129: name = "parameter_129" + original_name = "linear_2.w_0_deepcopy_18" shape = [2048, 256] dtype = "float32" min_val = float("-1.67532") @@ -1430,6 +1560,7 @@ class Program_weight_tensor_parameter_129: class Program_weight_tensor_parameter_130: name = "parameter_130" + original_name = "linear_1.b_0_deepcopy_17" shape = [2048] dtype = "float32" min_val = float("-0.157592") @@ -1441,6 +1572,7 @@ class Program_weight_tensor_parameter_130: class Program_weight_tensor_parameter_131: name = "parameter_131" + original_name = "linear_1.w_0_deepcopy_16" shape = [256, 2048] dtype = "float32" min_val = float("-0.724598") @@ -1452,6 +1584,7 @@ class Program_weight_tensor_parameter_131: class Program_weight_tensor_parameter_132: name = "parameter_132" + original_name = "layer_norm_0.b_0_deepcopy_21" shape = [256] dtype = "float32" min_val = float("-1.83743") @@ -1463,6 +1596,7 @@ class Program_weight_tensor_parameter_132: class Program_weight_tensor_parameter_133: name = "parameter_133" + original_name = "layer_norm_0.w_0_deepcopy_20" shape = [256] dtype = "float32" min_val = float("0.231014") @@ -1474,6 +1608,7 @@ class Program_weight_tensor_parameter_133: class Program_weight_tensor_parameter_134: name = "parameter_134" + original_name = "linear_0.b_0_deepcopy_15" shape = [256] dtype = "float32" min_val = float("-0.725101") @@ -1485,6 +1620,7 @@ class Program_weight_tensor_parameter_134: class Program_weight_tensor_parameter_135: name = "parameter_135" + original_name = "linear_0.w_0_deepcopy_14" shape = [256, 256] dtype = "float32" min_val = float("-0.413043") @@ -1496,6 +1632,7 @@ class Program_weight_tensor_parameter_135: class Program_weight_tensor_parameter_136: name = "parameter_136" + original_name = "layer_norm_1.b_0_deepcopy_11" shape = [256] dtype = "float32" min_val = float("-0.800124") @@ -1507,6 +1644,7 @@ class Program_weight_tensor_parameter_136: class Program_weight_tensor_parameter_137: name = "parameter_137" + original_name = "layer_norm_1.w_0_deepcopy_10" shape = [256] dtype = "float32" min_val = float("0.186909") @@ -1518,6 +1656,7 @@ class Program_weight_tensor_parameter_137: class Program_weight_tensor_parameter_138: name = "parameter_138" + original_name = "linear_2.b_0_deepcopy_7" shape = [256] dtype = "float32" min_val = float("-0.461149") @@ -1529,6 +1668,7 @@ class Program_weight_tensor_parameter_138: class Program_weight_tensor_parameter_139: name = "parameter_139" + original_name = "linear_2.w_0_deepcopy_6" shape = [2048, 256] dtype = "float32" min_val = float("-1.504") @@ -1540,6 +1680,7 @@ class Program_weight_tensor_parameter_139: class Program_weight_tensor_parameter_140: name = "parameter_140" + original_name = "linear_1.b_0_deepcopy_5" shape = [2048] dtype = "float32" min_val = float("-0.174725") @@ -1551,6 +1692,7 @@ class Program_weight_tensor_parameter_140: class Program_weight_tensor_parameter_141: name = "parameter_141" + original_name = "linear_1.w_0_deepcopy_4" shape = [256, 2048] dtype = "float32" min_val = float("-0.664555") @@ -1562,6 +1704,7 @@ class Program_weight_tensor_parameter_141: class Program_weight_tensor_parameter_142: name = "parameter_142" + original_name = "layer_norm_0.b_0_deepcopy_9" shape = [256] dtype = "float32" min_val = float("-1.50004") @@ -1573,6 +1716,7 @@ class Program_weight_tensor_parameter_142: class Program_weight_tensor_parameter_143: name = "parameter_143" + original_name = "layer_norm_0.w_0_deepcopy_8" shape = [256] dtype = "float32" min_val = float("0.437127") @@ -1584,6 +1728,7 @@ class Program_weight_tensor_parameter_143: class Program_weight_tensor_parameter_144: name = "parameter_144" + original_name = "linear_0.b_0_deepcopy_3" shape = [256] dtype = "float32" min_val = float("-0.798574") @@ -1595,6 +1740,7 @@ class Program_weight_tensor_parameter_144: class Program_weight_tensor_parameter_145: name = "parameter_145" + original_name = "linear_0.w_0_deepcopy_2" shape = [256, 256] dtype = "float32" min_val = float("-0.583847") @@ -1606,6 +1752,7 @@ class Program_weight_tensor_parameter_145: class Program_weight_tensor_parameter_146: name = "parameter_146" + original_name = "conv2d_53.b_0" shape = [256] dtype = "float32" min_val = float("-0.344435") @@ -1617,6 +1764,7 @@ class Program_weight_tensor_parameter_146: class Program_weight_tensor_parameter_147: name = "parameter_147" + original_name = "conv2d_53.w_0" shape = [256, 2048, 1, 1] dtype = "float32" min_val = float("-1.03354") @@ -1628,6 +1776,7 @@ class Program_weight_tensor_parameter_147: class Program_weight_tensor_parameter_148: name = "parameter_148" + original_name = "batch_norm2d_52.b_0" shape = [2048] dtype = "float32" min_val = float("-0.150417") @@ -1639,6 +1788,7 @@ class Program_weight_tensor_parameter_148: class Program_weight_tensor_parameter_149: name = "parameter_149" + original_name = "batch_norm2d_52.w_0" shape = [2048] dtype = "float32" min_val = float("0.112357") @@ -1650,6 +1800,7 @@ class Program_weight_tensor_parameter_149: class Program_weight_tensor_parameter_150: name = "parameter_150" + original_name = "batch_norm2d_52.w_2" shape = [2048] dtype = "float32" min_val = float("4.58401e-05") @@ -1661,6 +1812,7 @@ class Program_weight_tensor_parameter_150: class Program_weight_tensor_parameter_151: name = "parameter_151" + original_name = "batch_norm2d_52.w_1" shape = [2048] dtype = "float32" min_val = float("-0.0298089") @@ -1672,6 +1824,7 @@ class Program_weight_tensor_parameter_151: class Program_weight_tensor_parameter_152: name = "parameter_152" + original_name = "conv2d_52.w_0" shape = [2048, 512, 1, 1] dtype = "float32" min_val = float("-0.152886") @@ -1683,6 +1836,7 @@ class Program_weight_tensor_parameter_152: class Program_weight_tensor_parameter_153: name = "parameter_153" + original_name = "batch_norm2d_51.b_0" shape = [512] dtype = "float32" min_val = float("-0.293918") @@ -1694,6 +1848,7 @@ class Program_weight_tensor_parameter_153: class Program_weight_tensor_parameter_154: name = "parameter_154" + original_name = "batch_norm2d_51.w_0" shape = [512] dtype = "float32" min_val = float("0.134363") @@ -1705,6 +1860,7 @@ class Program_weight_tensor_parameter_154: class Program_weight_tensor_parameter_155: name = "parameter_155" + original_name = "batch_norm2d_51.w_2" shape = [512] dtype = "float32" min_val = float("0.00773641") @@ -1716,6 +1872,7 @@ class Program_weight_tensor_parameter_155: class Program_weight_tensor_parameter_156: name = "parameter_156" + original_name = "batch_norm2d_51.w_1" shape = [512] dtype = "float32" min_val = float("-0.148122") @@ -1727,6 +1884,7 @@ class Program_weight_tensor_parameter_156: class Program_weight_tensor_parameter_157: name = "parameter_157" + original_name = "conv2d_51.w_0" shape = [512, 512, 3, 3] dtype = "float32" min_val = float("-0.166298") @@ -1738,6 +1896,7 @@ class Program_weight_tensor_parameter_157: class Program_weight_tensor_parameter_158: name = "parameter_158" + original_name = "batch_norm2d_50.b_0" shape = [512] dtype = "float32" min_val = float("-0.334689") @@ -1749,6 +1908,7 @@ class Program_weight_tensor_parameter_158: class Program_weight_tensor_parameter_159: name = "parameter_159" + original_name = "batch_norm2d_50.w_0" shape = [512] dtype = "float32" min_val = float("0.112843") @@ -1760,6 +1920,7 @@ class Program_weight_tensor_parameter_159: class Program_weight_tensor_parameter_160: name = "parameter_160" + original_name = "batch_norm2d_50.w_2" shape = [512] dtype = "float32" min_val = float("0.189317") @@ -1771,6 +1932,7 @@ class Program_weight_tensor_parameter_160: class Program_weight_tensor_parameter_161: name = "parameter_161" + original_name = "batch_norm2d_50.w_1" shape = [512] dtype = "float32" min_val = float("-0.987256") @@ -1782,6 +1944,7 @@ class Program_weight_tensor_parameter_161: class Program_weight_tensor_parameter_162: name = "parameter_162" + original_name = "conv2d_50.w_0" shape = [512, 2048, 1, 1] dtype = "float32" min_val = float("-0.362413") @@ -1793,6 +1956,7 @@ class Program_weight_tensor_parameter_162: class Program_weight_tensor_parameter_163: name = "parameter_163" + original_name = "batch_norm2d_49.b_0" shape = [2048] dtype = "float32" min_val = float("-0.21598") @@ -1804,6 +1968,7 @@ class Program_weight_tensor_parameter_163: class Program_weight_tensor_parameter_164: name = "parameter_164" + original_name = "batch_norm2d_49.w_0" shape = [2048] dtype = "float32" min_val = float("0.129696") @@ -1815,6 +1980,7 @@ class Program_weight_tensor_parameter_164: class Program_weight_tensor_parameter_165: name = "parameter_165" + original_name = "batch_norm2d_49.w_2" shape = [2048] dtype = "float32" min_val = float("0.000190455") @@ -1826,6 +1992,7 @@ class Program_weight_tensor_parameter_165: class Program_weight_tensor_parameter_166: name = "parameter_166" + original_name = "batch_norm2d_49.w_1" shape = [2048] dtype = "float32" min_val = float("-0.156046") @@ -1837,6 +2004,7 @@ class Program_weight_tensor_parameter_166: class Program_weight_tensor_parameter_167: name = "parameter_167" + original_name = "conv2d_49.w_0" shape = [2048, 512, 1, 1] dtype = "float32" min_val = float("-0.187602") @@ -1848,6 +2016,7 @@ class Program_weight_tensor_parameter_167: class Program_weight_tensor_parameter_168: name = "parameter_168" + original_name = "batch_norm2d_48.b_0" shape = [512] dtype = "float32" min_val = float("-0.347685") @@ -1859,6 +2028,7 @@ class Program_weight_tensor_parameter_168: class Program_weight_tensor_parameter_169: name = "parameter_169" + original_name = "batch_norm2d_48.w_0" shape = [512] dtype = "float32" min_val = float("0.147304") @@ -1870,6 +2040,7 @@ class Program_weight_tensor_parameter_169: class Program_weight_tensor_parameter_170: name = "parameter_170" + original_name = "batch_norm2d_48.w_2" shape = [512] dtype = "float32" min_val = float("0.00819833") @@ -1881,6 +2052,7 @@ class Program_weight_tensor_parameter_170: class Program_weight_tensor_parameter_171: name = "parameter_171" + original_name = "batch_norm2d_48.w_1" shape = [512] dtype = "float32" min_val = float("-0.37926") @@ -1892,6 +2064,7 @@ class Program_weight_tensor_parameter_171: class Program_weight_tensor_parameter_172: name = "parameter_172" + original_name = "conv2d_48.w_0" shape = [512, 512, 3, 3] dtype = "float32" min_val = float("-0.242756") @@ -1903,6 +2076,7 @@ class Program_weight_tensor_parameter_172: class Program_weight_tensor_parameter_173: name = "parameter_173" + original_name = "batch_norm2d_47.b_0" shape = [512] dtype = "float32" min_val = float("-0.319738") @@ -1914,6 +2088,7 @@ class Program_weight_tensor_parameter_173: class Program_weight_tensor_parameter_174: name = "parameter_174" + original_name = "batch_norm2d_47.w_0" shape = [512] dtype = "float32" min_val = float("0.0941531") @@ -1925,6 +2100,7 @@ class Program_weight_tensor_parameter_174: class Program_weight_tensor_parameter_175: name = "parameter_175" + original_name = "batch_norm2d_47.w_2" shape = [512] dtype = "float32" min_val = float("0.0888968") @@ -1936,6 +2112,7 @@ class Program_weight_tensor_parameter_175: class Program_weight_tensor_parameter_176: name = "parameter_176" + original_name = "batch_norm2d_47.w_1" shape = [512] dtype = "float32" min_val = float("-0.878403") @@ -1947,6 +2124,7 @@ class Program_weight_tensor_parameter_176: class Program_weight_tensor_parameter_177: name = "parameter_177" + original_name = "conv2d_47.w_0" shape = [512, 2048, 1, 1] dtype = "float32" min_val = float("-0.389186") @@ -1958,6 +2136,7 @@ class Program_weight_tensor_parameter_177: class Program_weight_tensor_parameter_178: name = "parameter_178" + original_name = "batch_norm2d_46.b_0" shape = [2048] dtype = "float32" min_val = float("-0.140877") @@ -1969,6 +2148,7 @@ class Program_weight_tensor_parameter_178: class Program_weight_tensor_parameter_179: name = "parameter_179" + original_name = "batch_norm2d_46.w_0" shape = [2048] dtype = "float32" min_val = float("0.11185") @@ -1980,6 +2160,7 @@ class Program_weight_tensor_parameter_179: class Program_weight_tensor_parameter_180: name = "parameter_180" + original_name = "batch_norm2d_46.w_2" shape = [2048] dtype = "float32" min_val = float("0.00030292") @@ -1991,6 +2172,7 @@ class Program_weight_tensor_parameter_180: class Program_weight_tensor_parameter_181: name = "parameter_181" + original_name = "batch_norm2d_46.w_1" shape = [2048] dtype = "float32" min_val = float("-0.0978358") @@ -2002,6 +2184,7 @@ class Program_weight_tensor_parameter_181: class Program_weight_tensor_parameter_182: name = "parameter_182" + original_name = "conv2d_46.w_0" shape = [2048, 1024, 1, 1] dtype = "float32" min_val = float("-0.365442") @@ -2013,6 +2196,7 @@ class Program_weight_tensor_parameter_182: class Program_weight_tensor_parameter_183: name = "parameter_183" + original_name = "batch_norm2d_45.b_0" shape = [2048] dtype = "float32" min_val = float("-0.140877") @@ -2024,6 +2208,7 @@ class Program_weight_tensor_parameter_183: class Program_weight_tensor_parameter_184: name = "parameter_184" + original_name = "batch_norm2d_45.w_0" shape = [2048] dtype = "float32" min_val = float("0.0343876") @@ -2035,6 +2220,7 @@ class Program_weight_tensor_parameter_184: class Program_weight_tensor_parameter_185: name = "parameter_185" + original_name = "batch_norm2d_45.w_2" shape = [2048] dtype = "float32" min_val = float("0.000190366") @@ -2046,6 +2232,7 @@ class Program_weight_tensor_parameter_185: class Program_weight_tensor_parameter_186: name = "parameter_186" + original_name = "batch_norm2d_45.w_1" shape = [2048] dtype = "float32" min_val = float("-0.124208") @@ -2057,6 +2244,7 @@ class Program_weight_tensor_parameter_186: class Program_weight_tensor_parameter_187: name = "parameter_187" + original_name = "conv2d_45.w_0" shape = [2048, 512, 1, 1] dtype = "float32" min_val = float("-0.232864") @@ -2068,6 +2256,7 @@ class Program_weight_tensor_parameter_187: class Program_weight_tensor_parameter_188: name = "parameter_188" + original_name = "batch_norm2d_44.b_0" shape = [512] dtype = "float32" min_val = float("-0.187468") @@ -2079,6 +2268,7 @@ class Program_weight_tensor_parameter_188: class Program_weight_tensor_parameter_189: name = "parameter_189" + original_name = "batch_norm2d_44.w_0" shape = [512] dtype = "float32" min_val = float("0.14926") @@ -2090,6 +2280,7 @@ class Program_weight_tensor_parameter_189: class Program_weight_tensor_parameter_190: name = "parameter_190" + original_name = "batch_norm2d_44.w_2" shape = [512] dtype = "float32" min_val = float("0.00845713") @@ -2101,6 +2292,7 @@ class Program_weight_tensor_parameter_190: class Program_weight_tensor_parameter_191: name = "parameter_191" + original_name = "batch_norm2d_44.w_1" shape = [512] dtype = "float32" min_val = float("-0.14583") @@ -2112,6 +2304,7 @@ class Program_weight_tensor_parameter_191: class Program_weight_tensor_parameter_192: name = "parameter_192" + original_name = "conv2d_44.w_0" shape = [512, 512, 3, 3] dtype = "float32" min_val = float("-0.355202") @@ -2123,6 +2316,7 @@ class Program_weight_tensor_parameter_192: class Program_weight_tensor_parameter_193: name = "parameter_193" + original_name = "batch_norm2d_43.b_0" shape = [512] dtype = "float32" min_val = float("-0.350172") @@ -2134,6 +2328,7 @@ class Program_weight_tensor_parameter_193: class Program_weight_tensor_parameter_194: name = "parameter_194" + original_name = "batch_norm2d_43.w_0" shape = [512] dtype = "float32" min_val = float("0.106705") @@ -2145,6 +2340,7 @@ class Program_weight_tensor_parameter_194: class Program_weight_tensor_parameter_195: name = "parameter_195" + original_name = "batch_norm2d_43.w_2" shape = [512] dtype = "float32" min_val = float("0.00811289") @@ -2156,6 +2352,7 @@ class Program_weight_tensor_parameter_195: class Program_weight_tensor_parameter_196: name = "parameter_196" + original_name = "batch_norm2d_43.w_1" shape = [512] dtype = "float32" min_val = float("-0.20864") @@ -2167,6 +2364,7 @@ class Program_weight_tensor_parameter_196: class Program_weight_tensor_parameter_197: name = "parameter_197" + original_name = "conv2d_43.w_0" shape = [512, 1024, 1, 1] dtype = "float32" min_val = float("-0.355235") @@ -2178,6 +2376,7 @@ class Program_weight_tensor_parameter_197: class Program_weight_tensor_parameter_198: name = "parameter_198" + original_name = "batch_norm2d_42.b_0" shape = [1024] dtype = "float32" min_val = float("-0.370779") @@ -2189,6 +2388,7 @@ class Program_weight_tensor_parameter_198: class Program_weight_tensor_parameter_199: name = "parameter_199" + original_name = "batch_norm2d_42.w_0" shape = [1024] dtype = "float32" min_val = float("-0.0664216") @@ -2200,6 +2400,7 @@ class Program_weight_tensor_parameter_199: class Program_weight_tensor_parameter_200: name = "parameter_200" + original_name = "batch_norm2d_42.w_2" shape = [1024] dtype = "float32" min_val = float("0.000187986") @@ -2211,6 +2412,7 @@ class Program_weight_tensor_parameter_200: class Program_weight_tensor_parameter_201: name = "parameter_201" + original_name = "batch_norm2d_42.w_1" shape = [1024] dtype = "float32" min_val = float("-0.112668") @@ -2222,6 +2424,7 @@ class Program_weight_tensor_parameter_201: class Program_weight_tensor_parameter_202: name = "parameter_202" + original_name = "conv2d_42.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.274578") @@ -2233,6 +2436,7 @@ class Program_weight_tensor_parameter_202: class Program_weight_tensor_parameter_203: name = "parameter_203" + original_name = "batch_norm2d_41.b_0" shape = [256] dtype = "float32" min_val = float("-0.399307") @@ -2244,6 +2448,7 @@ class Program_weight_tensor_parameter_203: class Program_weight_tensor_parameter_204: name = "parameter_204" + original_name = "batch_norm2d_41.w_0" shape = [256] dtype = "float32" min_val = float("0.124237") @@ -2255,6 +2460,7 @@ class Program_weight_tensor_parameter_204: class Program_weight_tensor_parameter_205: name = "parameter_205" + original_name = "batch_norm2d_41.w_2" shape = [256] dtype = "float32" min_val = float("0.00573658") @@ -2266,6 +2472,7 @@ class Program_weight_tensor_parameter_205: class Program_weight_tensor_parameter_206: name = "parameter_206" + original_name = "batch_norm2d_41.w_1" shape = [256] dtype = "float32" min_val = float("-0.223885") @@ -2277,6 +2484,7 @@ class Program_weight_tensor_parameter_206: class Program_weight_tensor_parameter_207: name = "parameter_207" + original_name = "conv2d_41.w_0" shape = [256, 256, 3, 3] dtype = "float32" min_val = float("-0.230967") @@ -2288,6 +2496,7 @@ class Program_weight_tensor_parameter_207: class Program_weight_tensor_parameter_208: name = "parameter_208" + original_name = "batch_norm2d_40.b_0" shape = [256] dtype = "float32" min_val = float("-0.314365") @@ -2299,6 +2508,7 @@ class Program_weight_tensor_parameter_208: class Program_weight_tensor_parameter_209: name = "parameter_209" + original_name = "batch_norm2d_40.w_0" shape = [256] dtype = "float32" min_val = float("0.0896673") @@ -2310,6 +2520,7 @@ class Program_weight_tensor_parameter_209: class Program_weight_tensor_parameter_210: name = "parameter_210" + original_name = "batch_norm2d_40.w_2" shape = [256] dtype = "float32" min_val = float("0.00800373") @@ -2321,6 +2532,7 @@ class Program_weight_tensor_parameter_210: class Program_weight_tensor_parameter_211: name = "parameter_211" + original_name = "batch_norm2d_40.w_1" shape = [256] dtype = "float32" min_val = float("-0.183551") @@ -2332,6 +2544,7 @@ class Program_weight_tensor_parameter_211: class Program_weight_tensor_parameter_212: name = "parameter_212" + original_name = "conv2d_40.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.230989") @@ -2343,6 +2556,7 @@ class Program_weight_tensor_parameter_212: class Program_weight_tensor_parameter_213: name = "parameter_213" + original_name = "batch_norm2d_39.b_0" shape = [1024] dtype = "float32" min_val = float("-0.316103") @@ -2354,6 +2568,7 @@ class Program_weight_tensor_parameter_213: class Program_weight_tensor_parameter_214: name = "parameter_214" + original_name = "batch_norm2d_39.w_0" shape = [1024] dtype = "float32" min_val = float("-0.048939") @@ -2365,6 +2580,7 @@ class Program_weight_tensor_parameter_214: class Program_weight_tensor_parameter_215: name = "parameter_215" + original_name = "batch_norm2d_39.w_2" shape = [1024] dtype = "float32" min_val = float("7.44126e-05") @@ -2376,6 +2592,7 @@ class Program_weight_tensor_parameter_215: class Program_weight_tensor_parameter_216: name = "parameter_216" + original_name = "batch_norm2d_39.w_1" shape = [1024] dtype = "float32" min_val = float("-0.102078") @@ -2387,6 +2604,7 @@ class Program_weight_tensor_parameter_216: class Program_weight_tensor_parameter_217: name = "parameter_217" + original_name = "conv2d_39.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.223271") @@ -2398,6 +2616,7 @@ class Program_weight_tensor_parameter_217: class Program_weight_tensor_parameter_218: name = "parameter_218" + original_name = "batch_norm2d_38.b_0" shape = [256] dtype = "float32" min_val = float("-0.329938") @@ -2409,6 +2628,7 @@ class Program_weight_tensor_parameter_218: class Program_weight_tensor_parameter_219: name = "parameter_219" + original_name = "batch_norm2d_38.w_0" shape = [256] dtype = "float32" min_val = float("0.0993624") @@ -2420,6 +2640,7 @@ class Program_weight_tensor_parameter_219: class Program_weight_tensor_parameter_220: name = "parameter_220" + original_name = "batch_norm2d_38.w_2" shape = [256] dtype = "float32" min_val = float("0.00524586") @@ -2431,6 +2652,7 @@ class Program_weight_tensor_parameter_220: class Program_weight_tensor_parameter_221: name = "parameter_221" + original_name = "batch_norm2d_38.w_1" shape = [256] dtype = "float32" min_val = float("-0.214452") @@ -2442,6 +2664,7 @@ class Program_weight_tensor_parameter_221: class Program_weight_tensor_parameter_222: name = "parameter_222" + original_name = "conv2d_38.w_0" shape = [256, 256, 3, 3] dtype = "float32" min_val = float("-0.198749") @@ -2453,6 +2676,7 @@ class Program_weight_tensor_parameter_222: class Program_weight_tensor_parameter_223: name = "parameter_223" + original_name = "batch_norm2d_37.b_0" shape = [256] dtype = "float32" min_val = float("-0.324492") @@ -2464,6 +2688,7 @@ class Program_weight_tensor_parameter_223: class Program_weight_tensor_parameter_224: name = "parameter_224" + original_name = "batch_norm2d_37.w_0" shape = [256] dtype = "float32" min_val = float("0.0949062") @@ -2475,6 +2700,7 @@ class Program_weight_tensor_parameter_224: class Program_weight_tensor_parameter_225: name = "parameter_225" + original_name = "batch_norm2d_37.w_2" shape = [256] dtype = "float32" min_val = float("0.00832382") @@ -2486,6 +2712,7 @@ class Program_weight_tensor_parameter_225: class Program_weight_tensor_parameter_226: name = "parameter_226" + original_name = "batch_norm2d_37.w_1" shape = [256] dtype = "float32" min_val = float("-0.241107") @@ -2497,6 +2724,7 @@ class Program_weight_tensor_parameter_226: class Program_weight_tensor_parameter_227: name = "parameter_227" + original_name = "conv2d_37.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.214375") @@ -2508,6 +2736,7 @@ class Program_weight_tensor_parameter_227: class Program_weight_tensor_parameter_228: name = "parameter_228" + original_name = "batch_norm2d_36.b_0" shape = [1024] dtype = "float32" min_val = float("-0.225174") @@ -2519,6 +2748,7 @@ class Program_weight_tensor_parameter_228: class Program_weight_tensor_parameter_229: name = "parameter_229" + original_name = "batch_norm2d_36.w_0" shape = [1024] dtype = "float32" min_val = float("-0.0301997") @@ -2530,6 +2760,7 @@ class Program_weight_tensor_parameter_229: class Program_weight_tensor_parameter_230: name = "parameter_230" + original_name = "batch_norm2d_36.w_2" shape = [1024] dtype = "float32" min_val = float("3.12528e-11") @@ -2541,6 +2772,7 @@ class Program_weight_tensor_parameter_230: class Program_weight_tensor_parameter_231: name = "parameter_231" + original_name = "batch_norm2d_36.w_1" shape = [1024] dtype = "float32" min_val = float("-0.0749364") @@ -2552,6 +2784,7 @@ class Program_weight_tensor_parameter_231: class Program_weight_tensor_parameter_232: name = "parameter_232" + original_name = "conv2d_36.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.249464") @@ -2563,6 +2796,7 @@ class Program_weight_tensor_parameter_232: class Program_weight_tensor_parameter_233: name = "parameter_233" + original_name = "batch_norm2d_35.b_0" shape = [256] dtype = "float32" min_val = float("-0.208314") @@ -2574,6 +2808,7 @@ class Program_weight_tensor_parameter_233: class Program_weight_tensor_parameter_234: name = "parameter_234" + original_name = "batch_norm2d_35.w_0" shape = [256] dtype = "float32" min_val = float("0.0967561") @@ -2585,6 +2820,7 @@ class Program_weight_tensor_parameter_234: class Program_weight_tensor_parameter_235: name = "parameter_235" + original_name = "batch_norm2d_35.w_2" shape = [256] dtype = "float32" min_val = float("0.00534462") @@ -2596,6 +2832,7 @@ class Program_weight_tensor_parameter_235: class Program_weight_tensor_parameter_236: name = "parameter_236" + original_name = "batch_norm2d_35.w_1" shape = [256] dtype = "float32" min_val = float("-0.162661") @@ -2607,6 +2844,7 @@ class Program_weight_tensor_parameter_236: class Program_weight_tensor_parameter_237: name = "parameter_237" + original_name = "conv2d_35.w_0" shape = [256, 256, 3, 3] dtype = "float32" min_val = float("-0.173503") @@ -2618,6 +2856,7 @@ class Program_weight_tensor_parameter_237: class Program_weight_tensor_parameter_238: name = "parameter_238" + original_name = "batch_norm2d_34.b_0" shape = [256] dtype = "float32" min_val = float("-0.259401") @@ -2629,6 +2868,7 @@ class Program_weight_tensor_parameter_238: class Program_weight_tensor_parameter_239: name = "parameter_239" + original_name = "batch_norm2d_34.w_0" shape = [256] dtype = "float32" min_val = float("0.0953832") @@ -2640,6 +2880,7 @@ class Program_weight_tensor_parameter_239: class Program_weight_tensor_parameter_240: name = "parameter_240" + original_name = "batch_norm2d_34.w_2" shape = [256] dtype = "float32" min_val = float("0.00862938") @@ -2651,6 +2892,7 @@ class Program_weight_tensor_parameter_240: class Program_weight_tensor_parameter_241: name = "parameter_241" + original_name = "batch_norm2d_34.w_1" shape = [256] dtype = "float32" min_val = float("-0.262802") @@ -2662,6 +2904,7 @@ class Program_weight_tensor_parameter_241: class Program_weight_tensor_parameter_242: name = "parameter_242" + original_name = "conv2d_34.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.227972") @@ -2673,6 +2916,7 @@ class Program_weight_tensor_parameter_242: class Program_weight_tensor_parameter_243: name = "parameter_243" + original_name = "batch_norm2d_33.b_0" shape = [1024] dtype = "float32" min_val = float("-0.262605") @@ -2684,6 +2928,7 @@ class Program_weight_tensor_parameter_243: class Program_weight_tensor_parameter_244: name = "parameter_244" + original_name = "batch_norm2d_33.w_0" shape = [1024] dtype = "float32" min_val = float("-0.0341974") @@ -2695,6 +2940,7 @@ class Program_weight_tensor_parameter_244: class Program_weight_tensor_parameter_245: name = "parameter_245" + original_name = "batch_norm2d_33.w_2" shape = [1024] dtype = "float32" min_val = float("7.40606e-11") @@ -2706,6 +2952,7 @@ class Program_weight_tensor_parameter_245: class Program_weight_tensor_parameter_246: name = "parameter_246" + original_name = "batch_norm2d_33.w_1" shape = [1024] dtype = "float32" min_val = float("-0.114872") @@ -2717,6 +2964,7 @@ class Program_weight_tensor_parameter_246: class Program_weight_tensor_parameter_247: name = "parameter_247" + original_name = "conv2d_33.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.398551") @@ -2728,6 +2976,7 @@ class Program_weight_tensor_parameter_247: class Program_weight_tensor_parameter_248: name = "parameter_248" + original_name = "batch_norm2d_32.b_0" shape = [256] dtype = "float32" min_val = float("-0.220177") @@ -2739,6 +2988,7 @@ class Program_weight_tensor_parameter_248: class Program_weight_tensor_parameter_249: name = "parameter_249" + original_name = "batch_norm2d_32.w_0" shape = [256] dtype = "float32" min_val = float("0.096898") @@ -2750,6 +3000,7 @@ class Program_weight_tensor_parameter_249: class Program_weight_tensor_parameter_250: name = "parameter_250" + original_name = "batch_norm2d_32.w_2" shape = [256] dtype = "float32" min_val = float("0.00716861") @@ -2761,6 +3012,7 @@ class Program_weight_tensor_parameter_250: class Program_weight_tensor_parameter_251: name = "parameter_251" + original_name = "batch_norm2d_32.w_1" shape = [256] dtype = "float32" min_val = float("-0.33006") @@ -2772,6 +3024,7 @@ class Program_weight_tensor_parameter_251: class Program_weight_tensor_parameter_252: name = "parameter_252" + original_name = "conv2d_32.w_0" shape = [256, 256, 3, 3] dtype = "float32" min_val = float("-0.243493") @@ -2783,6 +3036,7 @@ class Program_weight_tensor_parameter_252: class Program_weight_tensor_parameter_253: name = "parameter_253" + original_name = "batch_norm2d_31.b_0" shape = [256] dtype = "float32" min_val = float("-0.231612") @@ -2794,6 +3048,7 @@ class Program_weight_tensor_parameter_253: class Program_weight_tensor_parameter_254: name = "parameter_254" + original_name = "batch_norm2d_31.w_0" shape = [256] dtype = "float32" min_val = float("0.0980205") @@ -2805,6 +3060,7 @@ class Program_weight_tensor_parameter_254: class Program_weight_tensor_parameter_255: name = "parameter_255" + original_name = "batch_norm2d_31.w_2" shape = [256] dtype = "float32" min_val = float("0.0081298") @@ -2816,6 +3072,7 @@ class Program_weight_tensor_parameter_255: class Program_weight_tensor_parameter_256: name = "parameter_256" + original_name = "batch_norm2d_31.w_1" shape = [256] dtype = "float32" min_val = float("-0.219663") @@ -2827,6 +3084,7 @@ class Program_weight_tensor_parameter_256: class Program_weight_tensor_parameter_257: name = "parameter_257" + original_name = "conv2d_31.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.223988") @@ -2838,6 +3096,7 @@ class Program_weight_tensor_parameter_257: class Program_weight_tensor_parameter_258: name = "parameter_258" + original_name = "batch_norm2d_30.b_0" shape = [1024] dtype = "float32" min_val = float("-0.214667") @@ -2849,6 +3108,7 @@ class Program_weight_tensor_parameter_258: class Program_weight_tensor_parameter_259: name = "parameter_259" + original_name = "batch_norm2d_30.w_0" shape = [1024] dtype = "float32" min_val = float("-0.014802") @@ -2860,6 +3120,7 @@ class Program_weight_tensor_parameter_259: class Program_weight_tensor_parameter_260: name = "parameter_260" + original_name = "batch_norm2d_30.w_2" shape = [1024] dtype = "float32" min_val = float("2.17905e-11") @@ -2871,6 +3132,7 @@ class Program_weight_tensor_parameter_260: class Program_weight_tensor_parameter_261: name = "parameter_261" + original_name = "batch_norm2d_30.w_1" shape = [1024] dtype = "float32" min_val = float("-0.154766") @@ -2882,6 +3144,7 @@ class Program_weight_tensor_parameter_261: class Program_weight_tensor_parameter_262: name = "parameter_262" + original_name = "conv2d_30.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.516358") @@ -2893,6 +3156,7 @@ class Program_weight_tensor_parameter_262: class Program_weight_tensor_parameter_263: name = "parameter_263" + original_name = "batch_norm2d_29.b_0" shape = [256] dtype = "float32" min_val = float("-0.384297") @@ -2904,6 +3168,7 @@ class Program_weight_tensor_parameter_263: class Program_weight_tensor_parameter_264: name = "parameter_264" + original_name = "batch_norm2d_29.w_0" shape = [256] dtype = "float32" min_val = float("0.101814") @@ -2915,6 +3180,7 @@ class Program_weight_tensor_parameter_264: class Program_weight_tensor_parameter_265: name = "parameter_265" + original_name = "batch_norm2d_29.w_2" shape = [256] dtype = "float32" min_val = float("0.00926883") @@ -2926,6 +3192,7 @@ class Program_weight_tensor_parameter_265: class Program_weight_tensor_parameter_266: name = "parameter_266" + original_name = "batch_norm2d_29.w_1" shape = [256] dtype = "float32" min_val = float("-0.897196") @@ -2937,6 +3204,7 @@ class Program_weight_tensor_parameter_266: class Program_weight_tensor_parameter_267: name = "parameter_267" + original_name = "conv2d_29.w_0" shape = [256, 256, 3, 3] dtype = "float32" min_val = float("-0.244341") @@ -2948,6 +3216,7 @@ class Program_weight_tensor_parameter_267: class Program_weight_tensor_parameter_268: name = "parameter_268" + original_name = "batch_norm2d_28.b_0" shape = [256] dtype = "float32" min_val = float("-0.154157") @@ -2959,6 +3228,7 @@ class Program_weight_tensor_parameter_268: class Program_weight_tensor_parameter_269: name = "parameter_269" + original_name = "batch_norm2d_28.w_0" shape = [256] dtype = "float32" min_val = float("0.0953903") @@ -2970,6 +3240,7 @@ class Program_weight_tensor_parameter_269: class Program_weight_tensor_parameter_270: name = "parameter_270" + original_name = "batch_norm2d_28.w_2" shape = [256] dtype = "float32" min_val = float("0.00848757") @@ -2981,6 +3252,7 @@ class Program_weight_tensor_parameter_270: class Program_weight_tensor_parameter_271: name = "parameter_271" + original_name = "batch_norm2d_28.w_1" shape = [256] dtype = "float32" min_val = float("-0.883407") @@ -2992,6 +3264,7 @@ class Program_weight_tensor_parameter_271: class Program_weight_tensor_parameter_272: name = "parameter_272" + original_name = "conv2d_28.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.219926") @@ -3003,6 +3276,7 @@ class Program_weight_tensor_parameter_272: class Program_weight_tensor_parameter_273: name = "parameter_273" + original_name = "batch_norm2d_27.b_0" shape = [1024] dtype = "float32" min_val = float("-0.123107") @@ -3014,6 +3288,7 @@ class Program_weight_tensor_parameter_273: class Program_weight_tensor_parameter_274: name = "parameter_274" + original_name = "batch_norm2d_27.w_0" shape = [1024] dtype = "float32" min_val = float("-0.0802479") @@ -3025,6 +3300,7 @@ class Program_weight_tensor_parameter_274: class Program_weight_tensor_parameter_275: name = "parameter_275" + original_name = "batch_norm2d_27.w_2" shape = [1024] dtype = "float32" min_val = float("2.12427e-14") @@ -3036,6 +3312,7 @@ class Program_weight_tensor_parameter_275: class Program_weight_tensor_parameter_276: name = "parameter_276" + original_name = "batch_norm2d_27.w_1" shape = [1024] dtype = "float32" min_val = float("-0.312993") @@ -3047,6 +3324,7 @@ class Program_weight_tensor_parameter_276: class Program_weight_tensor_parameter_277: name = "parameter_277" + original_name = "conv2d_27.w_0" shape = [1024, 512, 1, 1] dtype = "float32" min_val = float("-0.337787") @@ -3058,6 +3336,7 @@ class Program_weight_tensor_parameter_277: class Program_weight_tensor_parameter_278: name = "parameter_278" + original_name = "batch_norm2d_26.b_0" shape = [1024] dtype = "float32" min_val = float("-0.123107") @@ -3069,6 +3348,7 @@ class Program_weight_tensor_parameter_278: class Program_weight_tensor_parameter_279: name = "parameter_279" + original_name = "batch_norm2d_26.w_0" shape = [1024] dtype = "float32" min_val = float("-0.00172916") @@ -3080,6 +3360,7 @@ class Program_weight_tensor_parameter_279: class Program_weight_tensor_parameter_280: name = "parameter_280" + original_name = "batch_norm2d_26.w_2" shape = [1024] dtype = "float32" min_val = float("1.97651e-14") @@ -3091,6 +3372,7 @@ class Program_weight_tensor_parameter_280: class Program_weight_tensor_parameter_281: name = "parameter_281" + original_name = "batch_norm2d_26.w_1" shape = [1024] dtype = "float32" min_val = float("-0.320953") @@ -3102,6 +3384,7 @@ class Program_weight_tensor_parameter_281: class Program_weight_tensor_parameter_282: name = "parameter_282" + original_name = "conv2d_26.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.306504") @@ -3113,6 +3396,7 @@ class Program_weight_tensor_parameter_282: class Program_weight_tensor_parameter_283: name = "parameter_283" + original_name = "batch_norm2d_25.b_0" shape = [256] dtype = "float32" min_val = float("-0.177343") @@ -3124,6 +3408,7 @@ class Program_weight_tensor_parameter_283: class Program_weight_tensor_parameter_284: name = "parameter_284" + original_name = "batch_norm2d_25.w_0" shape = [256] dtype = "float32" min_val = float("0.126972") @@ -3135,6 +3420,7 @@ class Program_weight_tensor_parameter_284: class Program_weight_tensor_parameter_285: name = "parameter_285" + original_name = "batch_norm2d_25.w_2" shape = [256] dtype = "float32" min_val = float("0.0155667") @@ -3146,6 +3432,7 @@ class Program_weight_tensor_parameter_285: class Program_weight_tensor_parameter_286: name = "parameter_286" + original_name = "batch_norm2d_25.w_1" shape = [256] dtype = "float32" min_val = float("-0.280367") @@ -3157,6 +3444,7 @@ class Program_weight_tensor_parameter_286: class Program_weight_tensor_parameter_287: name = "parameter_287" + original_name = "conv2d_25.w_0" shape = [256, 256, 3, 3] dtype = "float32" min_val = float("-0.222093") @@ -3168,6 +3456,7 @@ class Program_weight_tensor_parameter_287: class Program_weight_tensor_parameter_288: name = "parameter_288" + original_name = "batch_norm2d_24.b_0" shape = [256] dtype = "float32" min_val = float("-0.378746") @@ -3179,6 +3468,7 @@ class Program_weight_tensor_parameter_288: class Program_weight_tensor_parameter_289: name = "parameter_289" + original_name = "batch_norm2d_24.w_0" shape = [256] dtype = "float32" min_val = float("0.144833") @@ -3190,6 +3480,7 @@ class Program_weight_tensor_parameter_289: class Program_weight_tensor_parameter_290: name = "parameter_290" + original_name = "batch_norm2d_24.w_2" shape = [256] dtype = "float32" min_val = float("0.0157244") @@ -3201,6 +3492,7 @@ class Program_weight_tensor_parameter_290: class Program_weight_tensor_parameter_291: name = "parameter_291" + original_name = "batch_norm2d_24.w_1" shape = [256] dtype = "float32" min_val = float("-0.390806") @@ -3212,6 +3504,7 @@ class Program_weight_tensor_parameter_291: class Program_weight_tensor_parameter_292: name = "parameter_292" + original_name = "conv2d_24.w_0" shape = [256, 512, 1, 1] dtype = "float32" min_val = float("-0.384472") @@ -3223,6 +3516,7 @@ class Program_weight_tensor_parameter_292: class Program_weight_tensor_parameter_293: name = "parameter_293" + original_name = "batch_norm2d_23.b_0" shape = [512] dtype = "float32" min_val = float("-0.212643") @@ -3234,6 +3528,7 @@ class Program_weight_tensor_parameter_293: class Program_weight_tensor_parameter_294: name = "parameter_294" + original_name = "batch_norm2d_23.w_0" shape = [512] dtype = "float32" min_val = float("-0.0505015") @@ -3245,6 +3540,7 @@ class Program_weight_tensor_parameter_294: class Program_weight_tensor_parameter_295: name = "parameter_295" + original_name = "batch_norm2d_23.w_2" shape = [512] dtype = "float32" min_val = float("5.65136e-05") @@ -3256,6 +3552,7 @@ class Program_weight_tensor_parameter_295: class Program_weight_tensor_parameter_296: name = "parameter_296" + original_name = "batch_norm2d_23.w_1" shape = [512] dtype = "float32" min_val = float("-0.141983") @@ -3267,6 +3564,7 @@ class Program_weight_tensor_parameter_296: class Program_weight_tensor_parameter_297: name = "parameter_297" + original_name = "conv2d_23.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.289093") @@ -3278,6 +3576,7 @@ class Program_weight_tensor_parameter_297: class Program_weight_tensor_parameter_298: name = "parameter_298" + original_name = "batch_norm2d_22.b_0" shape = [128] dtype = "float32" min_val = float("-0.217842") @@ -3289,6 +3588,7 @@ class Program_weight_tensor_parameter_298: class Program_weight_tensor_parameter_299: name = "parameter_299" + original_name = "batch_norm2d_22.w_0" shape = [128] dtype = "float32" min_val = float("0.121171") @@ -3300,6 +3600,7 @@ class Program_weight_tensor_parameter_299: class Program_weight_tensor_parameter_300: name = "parameter_300" + original_name = "batch_norm2d_22.w_2" shape = [128] dtype = "float32" min_val = float("0.00802759") @@ -3311,6 +3612,7 @@ class Program_weight_tensor_parameter_300: class Program_weight_tensor_parameter_301: name = "parameter_301" + original_name = "batch_norm2d_22.w_1" shape = [128] dtype = "float32" min_val = float("-0.202194") @@ -3322,6 +3624,7 @@ class Program_weight_tensor_parameter_301: class Program_weight_tensor_parameter_302: name = "parameter_302" + original_name = "conv2d_22.w_0" shape = [128, 128, 3, 3] dtype = "float32" min_val = float("-0.196283") @@ -3333,6 +3636,7 @@ class Program_weight_tensor_parameter_302: class Program_weight_tensor_parameter_303: name = "parameter_303" + original_name = "batch_norm2d_21.b_0" shape = [128] dtype = "float32" min_val = float("-0.234581") @@ -3344,6 +3648,7 @@ class Program_weight_tensor_parameter_303: class Program_weight_tensor_parameter_304: name = "parameter_304" + original_name = "batch_norm2d_21.w_0" shape = [128] dtype = "float32" min_val = float("0.118987") @@ -3355,6 +3660,7 @@ class Program_weight_tensor_parameter_304: class Program_weight_tensor_parameter_305: name = "parameter_305" + original_name = "batch_norm2d_21.w_2" shape = [128] dtype = "float32" min_val = float("0.00940187") @@ -3366,6 +3672,7 @@ class Program_weight_tensor_parameter_305: class Program_weight_tensor_parameter_306: name = "parameter_306" + original_name = "batch_norm2d_21.w_1" shape = [128] dtype = "float32" min_val = float("-0.277056") @@ -3377,6 +3684,7 @@ class Program_weight_tensor_parameter_306: class Program_weight_tensor_parameter_307: name = "parameter_307" + original_name = "conv2d_21.w_0" shape = [128, 512, 1, 1] dtype = "float32" min_val = float("-0.221929") @@ -3388,6 +3696,7 @@ class Program_weight_tensor_parameter_307: class Program_weight_tensor_parameter_308: name = "parameter_308" + original_name = "batch_norm2d_20.b_0" shape = [512] dtype = "float32" min_val = float("-0.269087") @@ -3399,6 +3708,7 @@ class Program_weight_tensor_parameter_308: class Program_weight_tensor_parameter_309: name = "parameter_309" + original_name = "batch_norm2d_20.w_0" shape = [512] dtype = "float32" min_val = float("-0.0647098") @@ -3410,6 +3720,7 @@ class Program_weight_tensor_parameter_309: class Program_weight_tensor_parameter_310: name = "parameter_310" + original_name = "batch_norm2d_20.w_2" shape = [512] dtype = "float32" min_val = float("0.00010973") @@ -3421,6 +3732,7 @@ class Program_weight_tensor_parameter_310: class Program_weight_tensor_parameter_311: name = "parameter_311" + original_name = "batch_norm2d_20.w_1" shape = [512] dtype = "float32" min_val = float("-0.0957676") @@ -3432,6 +3744,7 @@ class Program_weight_tensor_parameter_311: class Program_weight_tensor_parameter_312: name = "parameter_312" + original_name = "conv2d_20.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.27503") @@ -3443,6 +3756,7 @@ class Program_weight_tensor_parameter_312: class Program_weight_tensor_parameter_313: name = "parameter_313" + original_name = "batch_norm2d_19.b_0" shape = [128] dtype = "float32" min_val = float("-0.17257") @@ -3454,6 +3768,7 @@ class Program_weight_tensor_parameter_313: class Program_weight_tensor_parameter_314: name = "parameter_314" + original_name = "batch_norm2d_19.w_0" shape = [128] dtype = "float32" min_val = float("0.108321") @@ -3465,6 +3780,7 @@ class Program_weight_tensor_parameter_314: class Program_weight_tensor_parameter_315: name = "parameter_315" + original_name = "batch_norm2d_19.w_2" shape = [128] dtype = "float32" min_val = float("0.0071571") @@ -3476,6 +3792,7 @@ class Program_weight_tensor_parameter_315: class Program_weight_tensor_parameter_316: name = "parameter_316" + original_name = "batch_norm2d_19.w_1" shape = [128] dtype = "float32" min_val = float("-0.345635") @@ -3487,6 +3804,7 @@ class Program_weight_tensor_parameter_316: class Program_weight_tensor_parameter_317: name = "parameter_317" + original_name = "conv2d_19.w_0" shape = [128, 128, 3, 3] dtype = "float32" min_val = float("-0.229717") @@ -3498,6 +3816,7 @@ class Program_weight_tensor_parameter_317: class Program_weight_tensor_parameter_318: name = "parameter_318" + original_name = "batch_norm2d_18.b_0" shape = [128] dtype = "float32" min_val = float("-0.202003") @@ -3509,6 +3828,7 @@ class Program_weight_tensor_parameter_318: class Program_weight_tensor_parameter_319: name = "parameter_319" + original_name = "batch_norm2d_18.w_0" shape = [128] dtype = "float32" min_val = float("0.106726") @@ -3520,6 +3840,7 @@ class Program_weight_tensor_parameter_319: class Program_weight_tensor_parameter_320: name = "parameter_320" + original_name = "batch_norm2d_18.w_2" shape = [128] dtype = "float32" min_val = float("0.00987741") @@ -3531,6 +3852,7 @@ class Program_weight_tensor_parameter_320: class Program_weight_tensor_parameter_321: name = "parameter_321" + original_name = "batch_norm2d_18.w_1" shape = [128] dtype = "float32" min_val = float("-0.342662") @@ -3542,6 +3864,7 @@ class Program_weight_tensor_parameter_321: class Program_weight_tensor_parameter_322: name = "parameter_322" + original_name = "conv2d_18.w_0" shape = [128, 512, 1, 1] dtype = "float32" min_val = float("-0.253332") @@ -3553,6 +3876,7 @@ class Program_weight_tensor_parameter_322: class Program_weight_tensor_parameter_323: name = "parameter_323" + original_name = "batch_norm2d_17.b_0" shape = [512] dtype = "float32" min_val = float("-0.238356") @@ -3564,6 +3888,7 @@ class Program_weight_tensor_parameter_323: class Program_weight_tensor_parameter_324: name = "parameter_324" + original_name = "batch_norm2d_17.w_0" shape = [512] dtype = "float32" min_val = float("-0.0709823") @@ -3575,6 +3900,7 @@ class Program_weight_tensor_parameter_324: class Program_weight_tensor_parameter_325: name = "parameter_325" + original_name = "batch_norm2d_17.w_2" shape = [512] dtype = "float32" min_val = float("6.22571e-13") @@ -3586,6 +3912,7 @@ class Program_weight_tensor_parameter_325: class Program_weight_tensor_parameter_326: name = "parameter_326" + original_name = "batch_norm2d_17.w_1" shape = [512] dtype = "float32" min_val = float("-0.204187") @@ -3597,6 +3924,7 @@ class Program_weight_tensor_parameter_326: class Program_weight_tensor_parameter_327: name = "parameter_327" + original_name = "conv2d_17.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.312423") @@ -3608,6 +3936,7 @@ class Program_weight_tensor_parameter_327: class Program_weight_tensor_parameter_328: name = "parameter_328" + original_name = "batch_norm2d_16.b_0" shape = [128] dtype = "float32" min_val = float("-0.182477") @@ -3619,6 +3948,7 @@ class Program_weight_tensor_parameter_328: class Program_weight_tensor_parameter_329: name = "parameter_329" + original_name = "batch_norm2d_16.w_0" shape = [128] dtype = "float32" min_val = float("0.0796995") @@ -3630,6 +3960,7 @@ class Program_weight_tensor_parameter_329: class Program_weight_tensor_parameter_330: name = "parameter_330" + original_name = "batch_norm2d_16.w_2" shape = [128] dtype = "float32" min_val = float("0.00281317") @@ -3641,6 +3972,7 @@ class Program_weight_tensor_parameter_330: class Program_weight_tensor_parameter_331: name = "parameter_331" + original_name = "batch_norm2d_16.w_1" shape = [128] dtype = "float32" min_val = float("-0.669941") @@ -3652,6 +3984,7 @@ class Program_weight_tensor_parameter_331: class Program_weight_tensor_parameter_332: name = "parameter_332" + original_name = "conv2d_16.w_0" shape = [128, 128, 3, 3] dtype = "float32" min_val = float("-0.243788") @@ -3663,6 +3996,7 @@ class Program_weight_tensor_parameter_332: class Program_weight_tensor_parameter_333: name = "parameter_333" + original_name = "batch_norm2d_15.b_0" shape = [128] dtype = "float32" min_val = float("-0.186717") @@ -3674,6 +4008,7 @@ class Program_weight_tensor_parameter_333: class Program_weight_tensor_parameter_334: name = "parameter_334" + original_name = "batch_norm2d_15.w_0" shape = [128] dtype = "float32" min_val = float("0.0506482") @@ -3685,6 +4020,7 @@ class Program_weight_tensor_parameter_334: class Program_weight_tensor_parameter_335: name = "parameter_335" + original_name = "batch_norm2d_15.w_2" shape = [128] dtype = "float32" min_val = float("0.00210212") @@ -3696,6 +4032,7 @@ class Program_weight_tensor_parameter_335: class Program_weight_tensor_parameter_336: name = "parameter_336" + original_name = "batch_norm2d_15.w_1" shape = [128] dtype = "float32" min_val = float("-0.322583") @@ -3707,6 +4044,7 @@ class Program_weight_tensor_parameter_336: class Program_weight_tensor_parameter_337: name = "parameter_337" + original_name = "conv2d_15.w_0" shape = [128, 512, 1, 1] dtype = "float32" min_val = float("-0.201555") @@ -3718,6 +4056,7 @@ class Program_weight_tensor_parameter_337: class Program_weight_tensor_parameter_338: name = "parameter_338" + original_name = "batch_norm2d_14.b_0" shape = [512] dtype = "float32" min_val = float("-0.171144") @@ -3729,6 +4068,7 @@ class Program_weight_tensor_parameter_338: class Program_weight_tensor_parameter_339: name = "parameter_339" + original_name = "batch_norm2d_14.w_0" shape = [512] dtype = "float32" min_val = float("-0.019481") @@ -3740,6 +4080,7 @@ class Program_weight_tensor_parameter_339: class Program_weight_tensor_parameter_340: name = "parameter_340" + original_name = "batch_norm2d_14.w_2" shape = [512] dtype = "float32" min_val = float("1.17727e-15") @@ -3751,6 +4092,7 @@ class Program_weight_tensor_parameter_340: class Program_weight_tensor_parameter_341: name = "parameter_341" + original_name = "batch_norm2d_14.w_1" shape = [512] dtype = "float32" min_val = float("-0.497702") @@ -3762,6 +4104,7 @@ class Program_weight_tensor_parameter_341: class Program_weight_tensor_parameter_342: name = "parameter_342" + original_name = "conv2d_14.w_0" shape = [512, 256, 1, 1] dtype = "float32" min_val = float("-0.344") @@ -3773,6 +4116,7 @@ class Program_weight_tensor_parameter_342: class Program_weight_tensor_parameter_343: name = "parameter_343" + original_name = "batch_norm2d_13.b_0" shape = [512] dtype = "float32" min_val = float("-0.171144") @@ -3784,6 +4128,7 @@ class Program_weight_tensor_parameter_343: class Program_weight_tensor_parameter_344: name = "parameter_344" + original_name = "batch_norm2d_13.w_0" shape = [512] dtype = "float32" min_val = float("-0.0356742") @@ -3795,6 +4140,7 @@ class Program_weight_tensor_parameter_344: class Program_weight_tensor_parameter_345: name = "parameter_345" + original_name = "batch_norm2d_13.w_2" shape = [512] dtype = "float32" min_val = float("6.20582e-16") @@ -3806,6 +4152,7 @@ class Program_weight_tensor_parameter_345: class Program_weight_tensor_parameter_346: name = "parameter_346" + original_name = "batch_norm2d_13.w_1" shape = [512] dtype = "float32" min_val = float("-0.28852") @@ -3817,6 +4164,7 @@ class Program_weight_tensor_parameter_346: class Program_weight_tensor_parameter_347: name = "parameter_347" + original_name = "conv2d_13.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.377586") @@ -3828,6 +4176,7 @@ class Program_weight_tensor_parameter_347: class Program_weight_tensor_parameter_348: name = "parameter_348" + original_name = "batch_norm2d_12.b_0" shape = [128] dtype = "float32" min_val = float("-0.316086") @@ -3839,6 +4188,7 @@ class Program_weight_tensor_parameter_348: class Program_weight_tensor_parameter_349: name = "parameter_349" + original_name = "batch_norm2d_12.w_0" shape = [128] dtype = "float32" min_val = float("0.14483") @@ -3850,6 +4200,7 @@ class Program_weight_tensor_parameter_349: class Program_weight_tensor_parameter_350: name = "parameter_350" + original_name = "batch_norm2d_12.w_2" shape = [128] dtype = "float32" min_val = float("0.0130226") @@ -3861,6 +4212,7 @@ class Program_weight_tensor_parameter_350: class Program_weight_tensor_parameter_351: name = "parameter_351" + original_name = "batch_norm2d_12.w_1" shape = [128] dtype = "float32" min_val = float("-0.267364") @@ -3872,6 +4224,7 @@ class Program_weight_tensor_parameter_351: class Program_weight_tensor_parameter_352: name = "parameter_352" + original_name = "conv2d_12.w_0" shape = [128, 128, 3, 3] dtype = "float32" min_val = float("-0.314588") @@ -3883,6 +4236,7 @@ class Program_weight_tensor_parameter_352: class Program_weight_tensor_parameter_353: name = "parameter_353" + original_name = "batch_norm2d_11.b_0" shape = [128] dtype = "float32" min_val = float("-0.303521") @@ -3894,6 +4248,7 @@ class Program_weight_tensor_parameter_353: class Program_weight_tensor_parameter_354: name = "parameter_354" + original_name = "batch_norm2d_11.w_0" shape = [128] dtype = "float32" min_val = float("0.107636") @@ -3905,6 +4260,7 @@ class Program_weight_tensor_parameter_354: class Program_weight_tensor_parameter_355: name = "parameter_355" + original_name = "batch_norm2d_11.w_2" shape = [128] dtype = "float32" min_val = float("0.00341849") @@ -3916,6 +4272,7 @@ class Program_weight_tensor_parameter_355: class Program_weight_tensor_parameter_356: name = "parameter_356" + original_name = "batch_norm2d_11.w_1" shape = [128] dtype = "float32" min_val = float("-0.400316") @@ -3927,6 +4284,7 @@ class Program_weight_tensor_parameter_356: class Program_weight_tensor_parameter_357: name = "parameter_357" + original_name = "conv2d_11.w_0" shape = [128, 256, 1, 1] dtype = "float32" min_val = float("-0.290704") @@ -3938,6 +4296,7 @@ class Program_weight_tensor_parameter_357: class Program_weight_tensor_parameter_358: name = "parameter_358" + original_name = "batch_norm2d_10.b_0" shape = [256] dtype = "float32" min_val = float("-0.168371") @@ -3949,6 +4308,7 @@ class Program_weight_tensor_parameter_358: class Program_weight_tensor_parameter_359: name = "parameter_359" + original_name = "batch_norm2d_10.w_0" shape = [256] dtype = "float32" min_val = float("-0.0978827") @@ -3960,6 +4320,7 @@ class Program_weight_tensor_parameter_359: class Program_weight_tensor_parameter_360: name = "parameter_360" + original_name = "batch_norm2d_10.w_2" shape = [256] dtype = "float32" min_val = float("5.57019e-05") @@ -3971,6 +4332,7 @@ class Program_weight_tensor_parameter_360: class Program_weight_tensor_parameter_361: name = "parameter_361" + original_name = "batch_norm2d_10.w_1" shape = [256] dtype = "float32" min_val = float("-0.124307") @@ -3982,6 +4344,7 @@ class Program_weight_tensor_parameter_361: class Program_weight_tensor_parameter_362: name = "parameter_362" + original_name = "conv2d_10.w_0" shape = [256, 64, 1, 1] dtype = "float32" min_val = float("-0.216772") @@ -3993,6 +4356,7 @@ class Program_weight_tensor_parameter_362: class Program_weight_tensor_parameter_363: name = "parameter_363" + original_name = "batch_norm2d_9.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -4002,6 +4366,7 @@ class Program_weight_tensor_parameter_363: class Program_weight_tensor_parameter_364: name = "parameter_364" + original_name = "batch_norm2d_9.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -4011,6 +4376,7 @@ class Program_weight_tensor_parameter_364: class Program_weight_tensor_parameter_365: name = "parameter_365" + original_name = "batch_norm2d_9.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -4020,6 +4386,7 @@ class Program_weight_tensor_parameter_365: class Program_weight_tensor_parameter_366: name = "parameter_366" + original_name = "batch_norm2d_9.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -4029,6 +4396,7 @@ class Program_weight_tensor_parameter_366: class Program_weight_tensor_parameter_367: name = "parameter_367" + original_name = "conv2d_9.w_0" shape = [64, 64, 3, 3] dtype = "float32" min_val = float("-0.225002") @@ -4040,6 +4408,7 @@ class Program_weight_tensor_parameter_367: class Program_weight_tensor_parameter_368: name = "parameter_368" + original_name = "batch_norm2d_8.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -4049,6 +4418,7 @@ class Program_weight_tensor_parameter_368: class Program_weight_tensor_parameter_369: name = "parameter_369" + original_name = "batch_norm2d_8.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -4058,6 +4428,7 @@ class Program_weight_tensor_parameter_369: class Program_weight_tensor_parameter_370: name = "parameter_370" + original_name = "batch_norm2d_8.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -4067,6 +4438,7 @@ class Program_weight_tensor_parameter_370: class Program_weight_tensor_parameter_371: name = "parameter_371" + original_name = "batch_norm2d_8.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -4076,6 +4448,7 @@ class Program_weight_tensor_parameter_371: class Program_weight_tensor_parameter_372: name = "parameter_372" + original_name = "conv2d_8.w_0" shape = [64, 256, 1, 1] dtype = "float32" min_val = float("-0.192067") @@ -4087,6 +4460,7 @@ class Program_weight_tensor_parameter_372: class Program_weight_tensor_parameter_373: name = "parameter_373" + original_name = "batch_norm2d_7.b_0" shape = [256] dtype = "float32" min_val = float("-0.148338") @@ -4098,6 +4472,7 @@ class Program_weight_tensor_parameter_373: class Program_weight_tensor_parameter_374: name = "parameter_374" + original_name = "batch_norm2d_7.w_0" shape = [256] dtype = "float32" min_val = float("-0.113668") @@ -4109,6 +4484,7 @@ class Program_weight_tensor_parameter_374: class Program_weight_tensor_parameter_375: name = "parameter_375" + original_name = "batch_norm2d_7.w_2" shape = [256] dtype = "float32" min_val = float("7.11989e-15") @@ -4120,6 +4496,7 @@ class Program_weight_tensor_parameter_375: class Program_weight_tensor_parameter_376: name = "parameter_376" + original_name = "batch_norm2d_7.w_1" shape = [256] dtype = "float32" min_val = float("-0.104816") @@ -4131,6 +4508,7 @@ class Program_weight_tensor_parameter_376: class Program_weight_tensor_parameter_377: name = "parameter_377" + original_name = "conv2d_7.w_0" shape = [256, 64, 1, 1] dtype = "float32" min_val = float("-0.294627") @@ -4142,6 +4520,7 @@ class Program_weight_tensor_parameter_377: class Program_weight_tensor_parameter_378: name = "parameter_378" + original_name = "batch_norm2d_6.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -4151,6 +4530,7 @@ class Program_weight_tensor_parameter_378: class Program_weight_tensor_parameter_379: name = "parameter_379" + original_name = "batch_norm2d_6.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -4160,6 +4540,7 @@ class Program_weight_tensor_parameter_379: class Program_weight_tensor_parameter_380: name = "parameter_380" + original_name = "batch_norm2d_6.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -4169,6 +4550,7 @@ class Program_weight_tensor_parameter_380: class Program_weight_tensor_parameter_381: name = "parameter_381" + original_name = "batch_norm2d_6.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -4178,6 +4560,7 @@ class Program_weight_tensor_parameter_381: class Program_weight_tensor_parameter_382: name = "parameter_382" + original_name = "conv2d_6.w_0" shape = [64, 64, 3, 3] dtype = "float32" min_val = float("-0.403462") @@ -4189,6 +4572,7 @@ class Program_weight_tensor_parameter_382: class Program_weight_tensor_parameter_383: name = "parameter_383" + original_name = "batch_norm2d_5.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -4198,6 +4582,7 @@ class Program_weight_tensor_parameter_383: class Program_weight_tensor_parameter_384: name = "parameter_384" + original_name = "batch_norm2d_5.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -4207,6 +4592,7 @@ class Program_weight_tensor_parameter_384: class Program_weight_tensor_parameter_385: name = "parameter_385" + original_name = "batch_norm2d_5.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -4216,6 +4602,7 @@ class Program_weight_tensor_parameter_385: class Program_weight_tensor_parameter_386: name = "parameter_386" + original_name = "batch_norm2d_5.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -4225,6 +4612,7 @@ class Program_weight_tensor_parameter_386: class Program_weight_tensor_parameter_387: name = "parameter_387" + original_name = "conv2d_5.w_0" shape = [64, 256, 1, 1] dtype = "float32" min_val = float("-0.20172") @@ -4236,6 +4624,7 @@ class Program_weight_tensor_parameter_387: class Program_weight_tensor_parameter_388: name = "parameter_388" + original_name = "batch_norm2d_4.b_0" shape = [256] dtype = "float32" min_val = float("-0.307381") @@ -4247,6 +4636,7 @@ class Program_weight_tensor_parameter_388: class Program_weight_tensor_parameter_389: name = "parameter_389" + original_name = "batch_norm2d_4.w_0" shape = [256] dtype = "float32" min_val = float("-0.0421494") @@ -4258,6 +4648,7 @@ class Program_weight_tensor_parameter_389: class Program_weight_tensor_parameter_390: name = "parameter_390" + original_name = "batch_norm2d_4.w_2" shape = [256] dtype = "float32" min_val = float("4.73803e-14") @@ -4269,6 +4660,7 @@ class Program_weight_tensor_parameter_390: class Program_weight_tensor_parameter_391: name = "parameter_391" + original_name = "batch_norm2d_4.w_1" shape = [256] dtype = "float32" min_val = float("-1.03252") @@ -4280,6 +4672,7 @@ class Program_weight_tensor_parameter_391: class Program_weight_tensor_parameter_392: name = "parameter_392" + original_name = "conv2d_4.w_0" shape = [256, 64, 1, 1] dtype = "float32" min_val = float("-0.744444") @@ -4291,6 +4684,7 @@ class Program_weight_tensor_parameter_392: class Program_weight_tensor_parameter_393: name = "parameter_393" + original_name = "batch_norm2d_3.b_0" shape = [256] dtype = "float32" min_val = float("-0.307381") @@ -4302,6 +4696,7 @@ class Program_weight_tensor_parameter_393: class Program_weight_tensor_parameter_394: name = "parameter_394" + original_name = "batch_norm2d_3.w_0" shape = [256] dtype = "float32" min_val = float("-0.112764") @@ -4313,6 +4708,7 @@ class Program_weight_tensor_parameter_394: class Program_weight_tensor_parameter_395: name = "parameter_395" + original_name = "batch_norm2d_3.w_2" shape = [256] dtype = "float32" min_val = float("1.26218e-14") @@ -4324,6 +4720,7 @@ class Program_weight_tensor_parameter_395: class Program_weight_tensor_parameter_396: name = "parameter_396" + original_name = "batch_norm2d_3.w_1" shape = [256] dtype = "float32" min_val = float("-0.223334") @@ -4335,6 +4732,7 @@ class Program_weight_tensor_parameter_396: class Program_weight_tensor_parameter_397: name = "parameter_397" + original_name = "conv2d_3.w_0" shape = [256, 64, 1, 1] dtype = "float32" min_val = float("-0.363424") @@ -4346,6 +4744,7 @@ class Program_weight_tensor_parameter_397: class Program_weight_tensor_parameter_398: name = "parameter_398" + original_name = "batch_norm2d_2.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -4355,6 +4754,7 @@ class Program_weight_tensor_parameter_398: class Program_weight_tensor_parameter_399: name = "parameter_399" + original_name = "batch_norm2d_2.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -4364,6 +4764,7 @@ class Program_weight_tensor_parameter_399: class Program_weight_tensor_parameter_400: name = "parameter_400" + original_name = "batch_norm2d_2.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -4373,6 +4774,7 @@ class Program_weight_tensor_parameter_400: class Program_weight_tensor_parameter_401: name = "parameter_401" + original_name = "batch_norm2d_2.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -4382,6 +4784,7 @@ class Program_weight_tensor_parameter_401: class Program_weight_tensor_parameter_402: name = "parameter_402" + original_name = "conv2d_2.w_0" shape = [64, 64, 3, 3] dtype = "float32" min_val = float("-0.467864") @@ -4393,6 +4796,7 @@ class Program_weight_tensor_parameter_402: class Program_weight_tensor_parameter_403: name = "parameter_403" + original_name = "batch_norm2d_1.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -4402,6 +4806,7 @@ class Program_weight_tensor_parameter_403: class Program_weight_tensor_parameter_404: name = "parameter_404" + original_name = "batch_norm2d_1.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -4411,6 +4816,7 @@ class Program_weight_tensor_parameter_404: class Program_weight_tensor_parameter_405: name = "parameter_405" + original_name = "batch_norm2d_1.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -4420,6 +4826,7 @@ class Program_weight_tensor_parameter_405: class Program_weight_tensor_parameter_406: name = "parameter_406" + original_name = "batch_norm2d_1.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -4429,6 +4836,7 @@ class Program_weight_tensor_parameter_406: class Program_weight_tensor_parameter_407: name = "parameter_407" + original_name = "conv2d_1.w_0" shape = [64, 64, 1, 1] dtype = "float32" min_val = float("-0.726628") @@ -4440,6 +4848,7 @@ class Program_weight_tensor_parameter_407: class Program_weight_tensor_parameter_408: name = "parameter_408" + original_name = "batch_norm2d_0.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -4449,6 +4858,7 @@ class Program_weight_tensor_parameter_408: class Program_weight_tensor_parameter_409: name = "parameter_409" + original_name = "batch_norm2d_0.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -4458,6 +4868,7 @@ class Program_weight_tensor_parameter_409: class Program_weight_tensor_parameter_410: name = "parameter_410" + original_name = "batch_norm2d_0.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -4467,6 +4878,7 @@ class Program_weight_tensor_parameter_410: class Program_weight_tensor_parameter_411: name = "parameter_411" + original_name = "batch_norm2d_0.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -4476,6 +4888,7 @@ class Program_weight_tensor_parameter_411: class Program_weight_tensor_parameter_412: name = "parameter_412" + original_name = "conv2d_0.w_0" shape = [64, 3, 7, 7] dtype = "float32" min_val = float("-0.781721") diff --git a/paddle_samples/PaddleX/FasterRCNN-ResNet101/subgraph_1/input_meta.py b/paddle_samples/PaddleX/FasterRCNN-ResNet101/subgraph_1/input_meta.py index cf57b0adb..b111d47b7 100644 --- a/paddle_samples/PaddleX/FasterRCNN-ResNet101/subgraph_1/input_meta.py +++ b/paddle_samples/PaddleX/FasterRCNN-ResNet101/subgraph_1/input_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_data_0: name = "data_0" + original_name = "var_5820" shape = [1, 3, 800, 1322] dtype = "float32" min_val = float("-2.1179") @@ -11,6 +12,7 @@ class Program_weight_tensor_data_0: class Program_weight_tensor_data_1: name = "data_1" + original_name = "var_5821" shape = [1, 2] dtype = "float32" data = [800.0, 1322.0] @@ -18,6 +20,7 @@ class Program_weight_tensor_data_1: class Program_weight_tensor_data_2: name = "data_2" + original_name = "var_6143" shape = [15, 4] dtype = "float32" data = [ diff --git a/paddle_samples/PaddleX/FasterRCNN-ResNet101/subgraph_1/weight_meta.py b/paddle_samples/PaddleX/FasterRCNN-ResNet101/subgraph_1/weight_meta.py index baa080118..899c8004d 100644 --- a/paddle_samples/PaddleX/FasterRCNN-ResNet101/subgraph_1/weight_meta.py +++ b/paddle_samples/PaddleX/FasterRCNN-ResNet101/subgraph_1/weight_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_parameter_0: name = "parameter_0" + original_name = "linear_1.b_0" shape = [16] dtype = "float32" min_val = float("0") @@ -9,6 +10,7 @@ class Program_weight_tensor_parameter_0: class Program_weight_tensor_parameter_1: name = "parameter_1" + original_name = "linear_1.w_0" shape = [2048, 16] dtype = "float32" min_val = float("-0.0180824") @@ -20,6 +22,7 @@ class Program_weight_tensor_parameter_1: class Program_weight_tensor_parameter_2: name = "parameter_2" + original_name = "linear_0.b_0" shape = [5] dtype = "float32" min_val = float("0") @@ -29,6 +32,7 @@ class Program_weight_tensor_parameter_2: class Program_weight_tensor_parameter_3: name = "parameter_3" + original_name = "linear_0.w_0" shape = [2048, 5] dtype = "float32" min_val = float("-0.0473299") @@ -40,6 +44,7 @@ class Program_weight_tensor_parameter_3: class Program_weight_tensor_parameter_4: name = "parameter_4" + original_name = "batch_norm2d_103.b_0" shape = [2048] dtype = "float32" min_val = float("-0.187529") @@ -51,6 +56,7 @@ class Program_weight_tensor_parameter_4: class Program_weight_tensor_parameter_5: name = "parameter_5" + original_name = "batch_norm2d_103.w_0" shape = [2048] dtype = "float32" min_val = float("0.0248782") @@ -62,6 +68,7 @@ class Program_weight_tensor_parameter_5: class Program_weight_tensor_parameter_6: name = "parameter_6" + original_name = "batch_norm2d_103.w_2" shape = [2048] dtype = "float32" min_val = float("5.79425e-06") @@ -73,6 +80,7 @@ class Program_weight_tensor_parameter_6: class Program_weight_tensor_parameter_7: name = "parameter_7" + original_name = "batch_norm2d_103.w_1" shape = [2048] dtype = "float32" min_val = float("-0.0136735") @@ -84,6 +92,7 @@ class Program_weight_tensor_parameter_7: class Program_weight_tensor_parameter_8: name = "parameter_8" + original_name = "conv2d_106.w_0" shape = [2048, 512, 1, 1] dtype = "float32" min_val = float("-0.256529") @@ -95,6 +104,7 @@ class Program_weight_tensor_parameter_8: class Program_weight_tensor_parameter_9: name = "parameter_9" + original_name = "batch_norm2d_102.b_0" shape = [512] dtype = "float32" min_val = float("-0.214844") @@ -106,6 +116,7 @@ class Program_weight_tensor_parameter_9: class Program_weight_tensor_parameter_10: name = "parameter_10" + original_name = "batch_norm2d_102.w_0" shape = [512] dtype = "float32" min_val = float("0.132966") @@ -117,6 +128,7 @@ class Program_weight_tensor_parameter_10: class Program_weight_tensor_parameter_11: name = "parameter_11" + original_name = "batch_norm2d_102.w_2" shape = [512] dtype = "float32" min_val = float("0.00600148") @@ -128,6 +140,7 @@ class Program_weight_tensor_parameter_11: class Program_weight_tensor_parameter_12: name = "parameter_12" + original_name = "batch_norm2d_102.w_1" shape = [512] dtype = "float32" min_val = float("-0.12121") @@ -139,6 +152,7 @@ class Program_weight_tensor_parameter_12: class Program_weight_tensor_parameter_13: name = "parameter_13" + original_name = "conv2d_105.w_0" shape = [512, 512, 3, 3] dtype = "float32" min_val = float("-0.115329") @@ -150,6 +164,7 @@ class Program_weight_tensor_parameter_13: class Program_weight_tensor_parameter_14: name = "parameter_14" + original_name = "batch_norm2d_101.b_0" shape = [512] dtype = "float32" min_val = float("-0.351861") @@ -161,6 +176,7 @@ class Program_weight_tensor_parameter_14: class Program_weight_tensor_parameter_15: name = "parameter_15" + original_name = "batch_norm2d_101.w_0" shape = [512] dtype = "float32" min_val = float("0.0859938") @@ -172,6 +188,7 @@ class Program_weight_tensor_parameter_15: class Program_weight_tensor_parameter_16: name = "parameter_16" + original_name = "batch_norm2d_101.w_2" shape = [512] dtype = "float32" min_val = float("0.255796") @@ -183,6 +200,7 @@ class Program_weight_tensor_parameter_16: class Program_weight_tensor_parameter_17: name = "parameter_17" + original_name = "batch_norm2d_101.w_1" shape = [512] dtype = "float32" min_val = float("-0.749944") @@ -194,6 +212,7 @@ class Program_weight_tensor_parameter_17: class Program_weight_tensor_parameter_18: name = "parameter_18" + original_name = "conv2d_104.w_0" shape = [512, 2048, 1, 1] dtype = "float32" min_val = float("-0.155074") @@ -205,6 +224,7 @@ class Program_weight_tensor_parameter_18: class Program_weight_tensor_parameter_19: name = "parameter_19" + original_name = "batch_norm2d_100.b_0" shape = [2048] dtype = "float32" min_val = float("-0.0873599") @@ -216,6 +236,7 @@ class Program_weight_tensor_parameter_19: class Program_weight_tensor_parameter_20: name = "parameter_20" + original_name = "batch_norm2d_100.w_0" shape = [2048] dtype = "float32" min_val = float("0.0576972") @@ -227,6 +248,7 @@ class Program_weight_tensor_parameter_20: class Program_weight_tensor_parameter_21: name = "parameter_21" + original_name = "batch_norm2d_100.w_2" shape = [2048] dtype = "float32" min_val = float("7.15697e-05") @@ -238,6 +260,7 @@ class Program_weight_tensor_parameter_21: class Program_weight_tensor_parameter_22: name = "parameter_22" + original_name = "batch_norm2d_100.w_1" shape = [2048] dtype = "float32" min_val = float("-0.210507") @@ -249,6 +272,7 @@ class Program_weight_tensor_parameter_22: class Program_weight_tensor_parameter_23: name = "parameter_23" + original_name = "conv2d_103.w_0" shape = [2048, 512, 1, 1] dtype = "float32" min_val = float("-0.193209") @@ -260,6 +284,7 @@ class Program_weight_tensor_parameter_23: class Program_weight_tensor_parameter_24: name = "parameter_24" + original_name = "batch_norm2d_99.b_0" shape = [512] dtype = "float32" min_val = float("-0.195035") @@ -271,6 +296,7 @@ class Program_weight_tensor_parameter_24: class Program_weight_tensor_parameter_25: name = "parameter_25" + original_name = "batch_norm2d_99.w_0" shape = [512] dtype = "float32" min_val = float("0.152092") @@ -282,6 +308,7 @@ class Program_weight_tensor_parameter_25: class Program_weight_tensor_parameter_26: name = "parameter_26" + original_name = "batch_norm2d_99.w_2" shape = [512] dtype = "float32" min_val = float("0.00601953") @@ -293,6 +320,7 @@ class Program_weight_tensor_parameter_26: class Program_weight_tensor_parameter_27: name = "parameter_27" + original_name = "batch_norm2d_99.w_1" shape = [512] dtype = "float32" min_val = float("-0.253796") @@ -304,6 +332,7 @@ class Program_weight_tensor_parameter_27: class Program_weight_tensor_parameter_28: name = "parameter_28" + original_name = "conv2d_102.w_0" shape = [512, 512, 3, 3] dtype = "float32" min_val = float("-0.216444") @@ -315,6 +344,7 @@ class Program_weight_tensor_parameter_28: class Program_weight_tensor_parameter_29: name = "parameter_29" + original_name = "batch_norm2d_98.b_0" shape = [512] dtype = "float32" min_val = float("-0.196503") @@ -326,6 +356,7 @@ class Program_weight_tensor_parameter_29: class Program_weight_tensor_parameter_30: name = "parameter_30" + original_name = "batch_norm2d_98.w_0" shape = [512] dtype = "float32" min_val = float("0.102265") @@ -337,6 +368,7 @@ class Program_weight_tensor_parameter_30: class Program_weight_tensor_parameter_31: name = "parameter_31" + original_name = "batch_norm2d_98.w_2" shape = [512] dtype = "float32" min_val = float("0.12314") @@ -348,6 +380,7 @@ class Program_weight_tensor_parameter_31: class Program_weight_tensor_parameter_32: name = "parameter_32" + original_name = "batch_norm2d_98.w_1" shape = [512] dtype = "float32" min_val = float("-0.644533") @@ -359,6 +392,7 @@ class Program_weight_tensor_parameter_32: class Program_weight_tensor_parameter_33: name = "parameter_33" + original_name = "conv2d_101.w_0" shape = [512, 2048, 1, 1] dtype = "float32" min_val = float("-0.104353") @@ -370,6 +404,7 @@ class Program_weight_tensor_parameter_33: class Program_weight_tensor_parameter_34: name = "parameter_34" + original_name = "batch_norm2d_97.b_0" shape = [2048] dtype = "float32" min_val = float("-0.0928293") @@ -381,6 +416,7 @@ class Program_weight_tensor_parameter_34: class Program_weight_tensor_parameter_35: name = "parameter_35" + original_name = "batch_norm2d_97.w_0" shape = [2048] dtype = "float32" min_val = float("0.0706514") @@ -392,6 +428,7 @@ class Program_weight_tensor_parameter_35: class Program_weight_tensor_parameter_36: name = "parameter_36" + original_name = "batch_norm2d_97.w_2" shape = [2048] dtype = "float32" min_val = float("0.000196833") @@ -403,6 +440,7 @@ class Program_weight_tensor_parameter_36: class Program_weight_tensor_parameter_37: name = "parameter_37" + original_name = "batch_norm2d_97.w_1" shape = [2048] dtype = "float32" min_val = float("-0.276438") @@ -414,6 +452,7 @@ class Program_weight_tensor_parameter_37: class Program_weight_tensor_parameter_38: name = "parameter_38" + original_name = "conv2d_100.w_0" shape = [2048, 1024, 1, 1] dtype = "float32" min_val = float("-0.128148") @@ -425,6 +464,7 @@ class Program_weight_tensor_parameter_38: class Program_weight_tensor_parameter_39: name = "parameter_39" + original_name = "batch_norm2d_96.b_0" shape = [2048] dtype = "float32" min_val = float("-0.0928293") @@ -436,6 +476,7 @@ class Program_weight_tensor_parameter_39: class Program_weight_tensor_parameter_40: name = "parameter_40" + original_name = "batch_norm2d_96.w_0" shape = [2048] dtype = "float32" min_val = float("-0.0263877") @@ -447,6 +488,7 @@ class Program_weight_tensor_parameter_40: class Program_weight_tensor_parameter_41: name = "parameter_41" + original_name = "batch_norm2d_96.w_2" shape = [2048] dtype = "float32" min_val = float("2.13464e-06") @@ -458,6 +500,7 @@ class Program_weight_tensor_parameter_41: class Program_weight_tensor_parameter_42: name = "parameter_42" + original_name = "batch_norm2d_96.w_1" shape = [2048] dtype = "float32" min_val = float("-0.033919") @@ -469,6 +512,7 @@ class Program_weight_tensor_parameter_42: class Program_weight_tensor_parameter_43: name = "parameter_43" + original_name = "conv2d_99.w_0" shape = [2048, 512, 1, 1] dtype = "float32" min_val = float("-0.201201") @@ -480,6 +524,7 @@ class Program_weight_tensor_parameter_43: class Program_weight_tensor_parameter_44: name = "parameter_44" + original_name = "batch_norm2d_95.b_0" shape = [512] dtype = "float32" min_val = float("-0.239081") @@ -491,6 +536,7 @@ class Program_weight_tensor_parameter_44: class Program_weight_tensor_parameter_45: name = "parameter_45" + original_name = "batch_norm2d_95.w_0" shape = [512] dtype = "float32" min_val = float("0.130887") @@ -502,6 +548,7 @@ class Program_weight_tensor_parameter_45: class Program_weight_tensor_parameter_46: name = "parameter_46" + original_name = "batch_norm2d_95.w_2" shape = [512] dtype = "float32" min_val = float("0.00453731") @@ -513,6 +560,7 @@ class Program_weight_tensor_parameter_46: class Program_weight_tensor_parameter_47: name = "parameter_47" + original_name = "batch_norm2d_95.w_1" shape = [512] dtype = "float32" min_val = float("-0.0876581") @@ -524,6 +572,7 @@ class Program_weight_tensor_parameter_47: class Program_weight_tensor_parameter_48: name = "parameter_48" + original_name = "conv2d_98.w_0" shape = [512, 512, 3, 3] dtype = "float32" min_val = float("-0.189498") @@ -535,6 +584,7 @@ class Program_weight_tensor_parameter_48: class Program_weight_tensor_parameter_49: name = "parameter_49" + original_name = "batch_norm2d_94.b_0" shape = [512] dtype = "float32" min_val = float("-0.331638") @@ -546,6 +596,7 @@ class Program_weight_tensor_parameter_49: class Program_weight_tensor_parameter_50: name = "parameter_50" + original_name = "batch_norm2d_94.w_0" shape = [512] dtype = "float32" min_val = float("0.132994") @@ -557,6 +608,7 @@ class Program_weight_tensor_parameter_50: class Program_weight_tensor_parameter_51: name = "parameter_51" + original_name = "batch_norm2d_94.w_2" shape = [512] dtype = "float32" min_val = float("0.00795988") @@ -568,6 +620,7 @@ class Program_weight_tensor_parameter_51: class Program_weight_tensor_parameter_52: name = "parameter_52" + original_name = "batch_norm2d_94.w_1" shape = [512] dtype = "float32" min_val = float("-0.191306") @@ -579,6 +632,7 @@ class Program_weight_tensor_parameter_52: class Program_weight_tensor_parameter_53: name = "parameter_53" + original_name = "conv2d_97.w_0" shape = [512, 1024, 1, 1] dtype = "float32" min_val = float("-0.149382") @@ -590,6 +644,7 @@ class Program_weight_tensor_parameter_53: class Program_weight_tensor_parameter_54: name = "parameter_54" + original_name = "conv2d_96.b_0" shape = [60] dtype = "float32" min_val = float("0") @@ -599,6 +654,7 @@ class Program_weight_tensor_parameter_54: class Program_weight_tensor_parameter_55: name = "parameter_55" + original_name = "conv2d_96.w_0" shape = [60, 1024, 1, 1] dtype = "float32" min_val = float("-0.132915") @@ -610,6 +666,7 @@ class Program_weight_tensor_parameter_55: class Program_weight_tensor_parameter_56: name = "parameter_56" + original_name = "conv2d_95.b_0" shape = [15] dtype = "float32" min_val = float("0") @@ -619,6 +676,7 @@ class Program_weight_tensor_parameter_56: class Program_weight_tensor_parameter_57: name = "parameter_57" + original_name = "conv2d_95.w_0" shape = [15, 1024, 1, 1] dtype = "float32" min_val = float("-0.295808") @@ -630,6 +688,7 @@ class Program_weight_tensor_parameter_57: class Program_weight_tensor_parameter_58: name = "parameter_58" + original_name = "conv2d_94.b_0" shape = [1024] dtype = "float32" min_val = float("-0.0408673") @@ -641,6 +700,7 @@ class Program_weight_tensor_parameter_58: class Program_weight_tensor_parameter_59: name = "parameter_59" + original_name = "conv2d_94.w_0" shape = [1024, 1024, 3, 3] dtype = "float32" min_val = float("-0.0898285") @@ -652,6 +712,7 @@ class Program_weight_tensor_parameter_59: class Program_weight_tensor_parameter_60: name = "parameter_60" + original_name = "batch_norm2d_93.b_0" shape = [1024] dtype = "float32" min_val = float("-0.185539") @@ -663,6 +724,7 @@ class Program_weight_tensor_parameter_60: class Program_weight_tensor_parameter_61: name = "parameter_61" + original_name = "batch_norm2d_93.w_0" shape = [1024] dtype = "float32" min_val = float("-0.15151") @@ -674,6 +736,7 @@ class Program_weight_tensor_parameter_61: class Program_weight_tensor_parameter_62: name = "parameter_62" + original_name = "batch_norm2d_93.w_2" shape = [1024] dtype = "float32" min_val = float("6.52912e-06") @@ -685,6 +748,7 @@ class Program_weight_tensor_parameter_62: class Program_weight_tensor_parameter_63: name = "parameter_63" + original_name = "batch_norm2d_93.w_1" shape = [1024] dtype = "float32" min_val = float("-0.0529734") @@ -696,6 +760,7 @@ class Program_weight_tensor_parameter_63: class Program_weight_tensor_parameter_64: name = "parameter_64" + original_name = "conv2d_93.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.156086") @@ -707,6 +772,7 @@ class Program_weight_tensor_parameter_64: class Program_weight_tensor_parameter_65: name = "parameter_65" + original_name = "batch_norm2d_92.b_0" shape = [256] dtype = "float32" min_val = float("-0.173203") @@ -718,6 +784,7 @@ class Program_weight_tensor_parameter_65: class Program_weight_tensor_parameter_66: name = "parameter_66" + original_name = "batch_norm2d_92.w_0" shape = [256] dtype = "float32" min_val = float("0.114129") @@ -729,6 +796,7 @@ class Program_weight_tensor_parameter_66: class Program_weight_tensor_parameter_67: name = "parameter_67" + original_name = "batch_norm2d_92.w_2" shape = [256] dtype = "float32" min_val = float("0.00111104") @@ -740,6 +808,7 @@ class Program_weight_tensor_parameter_67: class Program_weight_tensor_parameter_68: name = "parameter_68" + original_name = "batch_norm2d_92.w_1" shape = [256] dtype = "float32" min_val = float("-0.0856441") @@ -751,6 +820,7 @@ class Program_weight_tensor_parameter_68: class Program_weight_tensor_parameter_69: name = "parameter_69" + original_name = "conv2d_92.w_0" shape = [256, 256, 3, 3] dtype = "float32" min_val = float("-0.2254") @@ -762,6 +832,7 @@ class Program_weight_tensor_parameter_69: class Program_weight_tensor_parameter_70: name = "parameter_70" + original_name = "batch_norm2d_91.b_0" shape = [256] dtype = "float32" min_val = float("-0.199063") @@ -773,6 +844,7 @@ class Program_weight_tensor_parameter_70: class Program_weight_tensor_parameter_71: name = "parameter_71" + original_name = "batch_norm2d_91.w_0" shape = [256] dtype = "float32" min_val = float("0.0853295") @@ -784,6 +856,7 @@ class Program_weight_tensor_parameter_71: class Program_weight_tensor_parameter_72: name = "parameter_72" + original_name = "batch_norm2d_91.w_2" shape = [256] dtype = "float32" min_val = float("0.00530829") @@ -795,6 +868,7 @@ class Program_weight_tensor_parameter_72: class Program_weight_tensor_parameter_73: name = "parameter_73" + original_name = "batch_norm2d_91.w_1" shape = [256] dtype = "float32" min_val = float("-0.673336") @@ -806,6 +880,7 @@ class Program_weight_tensor_parameter_73: class Program_weight_tensor_parameter_74: name = "parameter_74" + original_name = "conv2d_91.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.232778") @@ -817,6 +892,7 @@ class Program_weight_tensor_parameter_74: class Program_weight_tensor_parameter_75: name = "parameter_75" + original_name = "batch_norm2d_90.b_0" shape = [1024] dtype = "float32" min_val = float("-0.178753") @@ -828,6 +904,7 @@ class Program_weight_tensor_parameter_75: class Program_weight_tensor_parameter_76: name = "parameter_76" + original_name = "batch_norm2d_90.w_0" shape = [1024] dtype = "float32" min_val = float("-0.150151") @@ -839,6 +916,7 @@ class Program_weight_tensor_parameter_76: class Program_weight_tensor_parameter_77: name = "parameter_77" + original_name = "batch_norm2d_90.w_2" shape = [1024] dtype = "float32" min_val = float("5.09849e-06") @@ -850,6 +928,7 @@ class Program_weight_tensor_parameter_77: class Program_weight_tensor_parameter_78: name = "parameter_78" + original_name = "batch_norm2d_90.w_1" shape = [1024] dtype = "float32" min_val = float("-0.0657701") @@ -861,6 +940,7 @@ class Program_weight_tensor_parameter_78: class Program_weight_tensor_parameter_79: name = "parameter_79" + original_name = "conv2d_90.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.127161") @@ -872,6 +952,7 @@ class Program_weight_tensor_parameter_79: class Program_weight_tensor_parameter_80: name = "parameter_80" + original_name = "batch_norm2d_89.b_0" shape = [256] dtype = "float32" min_val = float("-0.219602") @@ -883,6 +964,7 @@ class Program_weight_tensor_parameter_80: class Program_weight_tensor_parameter_81: name = "parameter_81" + original_name = "batch_norm2d_89.w_0" shape = [256] dtype = "float32" min_val = float("0.109899") @@ -894,6 +976,7 @@ class Program_weight_tensor_parameter_81: class Program_weight_tensor_parameter_82: name = "parameter_82" + original_name = "batch_norm2d_89.w_2" shape = [256] dtype = "float32" min_val = float("0.000960966") @@ -905,6 +988,7 @@ class Program_weight_tensor_parameter_82: class Program_weight_tensor_parameter_83: name = "parameter_83" + original_name = "batch_norm2d_89.w_1" shape = [256] dtype = "float32" min_val = float("-0.0740873") @@ -916,6 +1000,7 @@ class Program_weight_tensor_parameter_83: class Program_weight_tensor_parameter_84: name = "parameter_84" + original_name = "conv2d_89.w_0" shape = [256, 256, 3, 3] dtype = "float32" min_val = float("-0.20945") @@ -927,6 +1012,7 @@ class Program_weight_tensor_parameter_84: class Program_weight_tensor_parameter_85: name = "parameter_85" + original_name = "batch_norm2d_88.b_0" shape = [256] dtype = "float32" min_val = float("-0.214884") @@ -938,6 +1024,7 @@ class Program_weight_tensor_parameter_85: class Program_weight_tensor_parameter_86: name = "parameter_86" + original_name = "batch_norm2d_88.w_0" shape = [256] dtype = "float32" min_val = float("0.10138") @@ -949,6 +1036,7 @@ class Program_weight_tensor_parameter_86: class Program_weight_tensor_parameter_87: name = "parameter_87" + original_name = "batch_norm2d_88.w_2" shape = [256] dtype = "float32" min_val = float("0.00545475") @@ -960,6 +1048,7 @@ class Program_weight_tensor_parameter_87: class Program_weight_tensor_parameter_88: name = "parameter_88" + original_name = "batch_norm2d_88.w_1" shape = [256] dtype = "float32" min_val = float("-0.377712") @@ -971,6 +1060,7 @@ class Program_weight_tensor_parameter_88: class Program_weight_tensor_parameter_89: name = "parameter_89" + original_name = "conv2d_88.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.153441") @@ -982,6 +1072,7 @@ class Program_weight_tensor_parameter_89: class Program_weight_tensor_parameter_90: name = "parameter_90" + original_name = "batch_norm2d_87.b_0" shape = [1024] dtype = "float32" min_val = float("-0.1703") @@ -993,6 +1084,7 @@ class Program_weight_tensor_parameter_90: class Program_weight_tensor_parameter_91: name = "parameter_91" + original_name = "batch_norm2d_87.w_0" shape = [1024] dtype = "float32" min_val = float("-0.155283") @@ -1004,6 +1096,7 @@ class Program_weight_tensor_parameter_91: class Program_weight_tensor_parameter_92: name = "parameter_92" + original_name = "batch_norm2d_87.w_2" shape = [1024] dtype = "float32" min_val = float("7.13583e-06") @@ -1015,6 +1108,7 @@ class Program_weight_tensor_parameter_92: class Program_weight_tensor_parameter_93: name = "parameter_93" + original_name = "batch_norm2d_87.w_1" shape = [1024] dtype = "float32" min_val = float("-0.0383555") @@ -1026,6 +1120,7 @@ class Program_weight_tensor_parameter_93: class Program_weight_tensor_parameter_94: name = "parameter_94" + original_name = "conv2d_87.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.122466") @@ -1037,6 +1132,7 @@ class Program_weight_tensor_parameter_94: class Program_weight_tensor_parameter_95: name = "parameter_95" + original_name = "batch_norm2d_86.b_0" shape = [256] dtype = "float32" min_val = float("-0.161884") @@ -1048,6 +1144,7 @@ class Program_weight_tensor_parameter_95: class Program_weight_tensor_parameter_96: name = "parameter_96" + original_name = "batch_norm2d_86.w_0" shape = [256] dtype = "float32" min_val = float("0.107956") @@ -1059,6 +1156,7 @@ class Program_weight_tensor_parameter_96: class Program_weight_tensor_parameter_97: name = "parameter_97" + original_name = "batch_norm2d_86.w_2" shape = [256] dtype = "float32" min_val = float("0.000916581") @@ -1070,6 +1168,7 @@ class Program_weight_tensor_parameter_97: class Program_weight_tensor_parameter_98: name = "parameter_98" + original_name = "batch_norm2d_86.w_1" shape = [256] dtype = "float32" min_val = float("-0.0779411") @@ -1081,6 +1180,7 @@ class Program_weight_tensor_parameter_98: class Program_weight_tensor_parameter_99: name = "parameter_99" + original_name = "conv2d_86.w_0" shape = [256, 256, 3, 3] dtype = "float32" min_val = float("-0.255197") @@ -1092,6 +1192,7 @@ class Program_weight_tensor_parameter_99: class Program_weight_tensor_parameter_100: name = "parameter_100" + original_name = "batch_norm2d_85.b_0" shape = [256] dtype = "float32" min_val = float("-0.209937") @@ -1103,6 +1204,7 @@ class Program_weight_tensor_parameter_100: class Program_weight_tensor_parameter_101: name = "parameter_101" + original_name = "batch_norm2d_85.w_0" shape = [256] dtype = "float32" min_val = float("0.117184") @@ -1114,6 +1216,7 @@ class Program_weight_tensor_parameter_101: class Program_weight_tensor_parameter_102: name = "parameter_102" + original_name = "batch_norm2d_85.w_2" shape = [256] dtype = "float32" min_val = float("0.00547455") @@ -1125,6 +1228,7 @@ class Program_weight_tensor_parameter_102: class Program_weight_tensor_parameter_103: name = "parameter_103" + original_name = "batch_norm2d_85.w_1" shape = [256] dtype = "float32" min_val = float("-0.219326") @@ -1136,6 +1240,7 @@ class Program_weight_tensor_parameter_103: class Program_weight_tensor_parameter_104: name = "parameter_104" + original_name = "conv2d_85.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.101673") @@ -1147,6 +1252,7 @@ class Program_weight_tensor_parameter_104: class Program_weight_tensor_parameter_105: name = "parameter_105" + original_name = "batch_norm2d_84.b_0" shape = [1024] dtype = "float32" min_val = float("-0.125546") @@ -1158,6 +1264,7 @@ class Program_weight_tensor_parameter_105: class Program_weight_tensor_parameter_106: name = "parameter_106" + original_name = "batch_norm2d_84.w_0" shape = [1024] dtype = "float32" min_val = float("-0.13717") @@ -1169,6 +1276,7 @@ class Program_weight_tensor_parameter_106: class Program_weight_tensor_parameter_107: name = "parameter_107" + original_name = "batch_norm2d_84.w_2" shape = [1024] dtype = "float32" min_val = float("7.58797e-06") @@ -1180,6 +1288,7 @@ class Program_weight_tensor_parameter_107: class Program_weight_tensor_parameter_108: name = "parameter_108" + original_name = "batch_norm2d_84.w_1" shape = [1024] dtype = "float32" min_val = float("-0.0303983") @@ -1191,6 +1300,7 @@ class Program_weight_tensor_parameter_108: class Program_weight_tensor_parameter_109: name = "parameter_109" + original_name = "conv2d_84.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.176148") @@ -1202,6 +1312,7 @@ class Program_weight_tensor_parameter_109: class Program_weight_tensor_parameter_110: name = "parameter_110" + original_name = "batch_norm2d_83.b_0" shape = [256] dtype = "float32" min_val = float("-0.189977") @@ -1213,6 +1324,7 @@ class Program_weight_tensor_parameter_110: class Program_weight_tensor_parameter_111: name = "parameter_111" + original_name = "batch_norm2d_83.w_0" shape = [256] dtype = "float32" min_val = float("0.0974469") @@ -1224,6 +1336,7 @@ class Program_weight_tensor_parameter_111: class Program_weight_tensor_parameter_112: name = "parameter_112" + original_name = "batch_norm2d_83.w_2" shape = [256] dtype = "float32" min_val = float("0.000793947") @@ -1235,6 +1348,7 @@ class Program_weight_tensor_parameter_112: class Program_weight_tensor_parameter_113: name = "parameter_113" + original_name = "batch_norm2d_83.w_1" shape = [256] dtype = "float32" min_val = float("-0.0588311") @@ -1246,6 +1360,7 @@ class Program_weight_tensor_parameter_113: class Program_weight_tensor_parameter_114: name = "parameter_114" + original_name = "conv2d_83.w_0" shape = [256, 256, 3, 3] dtype = "float32" min_val = float("-0.310282") @@ -1257,6 +1372,7 @@ class Program_weight_tensor_parameter_114: class Program_weight_tensor_parameter_115: name = "parameter_115" + original_name = "batch_norm2d_82.b_0" shape = [256] dtype = "float32" min_val = float("-0.207876") @@ -1268,6 +1384,7 @@ class Program_weight_tensor_parameter_115: class Program_weight_tensor_parameter_116: name = "parameter_116" + original_name = "batch_norm2d_82.w_0" shape = [256] dtype = "float32" min_val = float("0.11424") @@ -1279,6 +1396,7 @@ class Program_weight_tensor_parameter_116: class Program_weight_tensor_parameter_117: name = "parameter_117" + original_name = "batch_norm2d_82.w_2" shape = [256] dtype = "float32" min_val = float("0.00579108") @@ -1290,6 +1408,7 @@ class Program_weight_tensor_parameter_117: class Program_weight_tensor_parameter_118: name = "parameter_118" + original_name = "batch_norm2d_82.w_1" shape = [256] dtype = "float32" min_val = float("-0.292558") @@ -1301,6 +1420,7 @@ class Program_weight_tensor_parameter_118: class Program_weight_tensor_parameter_119: name = "parameter_119" + original_name = "conv2d_82.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.096533") @@ -1312,6 +1432,7 @@ class Program_weight_tensor_parameter_119: class Program_weight_tensor_parameter_120: name = "parameter_120" + original_name = "batch_norm2d_81.b_0" shape = [1024] dtype = "float32" min_val = float("-0.144983") @@ -1323,6 +1444,7 @@ class Program_weight_tensor_parameter_120: class Program_weight_tensor_parameter_121: name = "parameter_121" + original_name = "batch_norm2d_81.w_0" shape = [1024] dtype = "float32" min_val = float("-0.137949") @@ -1334,6 +1456,7 @@ class Program_weight_tensor_parameter_121: class Program_weight_tensor_parameter_122: name = "parameter_122" + original_name = "batch_norm2d_81.w_2" shape = [1024] dtype = "float32" min_val = float("8.66004e-06") @@ -1345,6 +1468,7 @@ class Program_weight_tensor_parameter_122: class Program_weight_tensor_parameter_123: name = "parameter_123" + original_name = "batch_norm2d_81.w_1" shape = [1024] dtype = "float32" min_val = float("-0.0320241") @@ -1356,6 +1480,7 @@ class Program_weight_tensor_parameter_123: class Program_weight_tensor_parameter_124: name = "parameter_124" + original_name = "conv2d_81.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.171266") @@ -1367,6 +1492,7 @@ class Program_weight_tensor_parameter_124: class Program_weight_tensor_parameter_125: name = "parameter_125" + original_name = "batch_norm2d_80.b_0" shape = [256] dtype = "float32" min_val = float("-0.198168") @@ -1378,6 +1504,7 @@ class Program_weight_tensor_parameter_125: class Program_weight_tensor_parameter_126: name = "parameter_126" + original_name = "batch_norm2d_80.w_0" shape = [256] dtype = "float32" min_val = float("0.102805") @@ -1389,6 +1516,7 @@ class Program_weight_tensor_parameter_126: class Program_weight_tensor_parameter_127: name = "parameter_127" + original_name = "batch_norm2d_80.w_2" shape = [256] dtype = "float32" min_val = float("0.00084611") @@ -1400,6 +1528,7 @@ class Program_weight_tensor_parameter_127: class Program_weight_tensor_parameter_128: name = "parameter_128" + original_name = "batch_norm2d_80.w_1" shape = [256] dtype = "float32" min_val = float("-0.0591028") @@ -1411,6 +1540,7 @@ class Program_weight_tensor_parameter_128: class Program_weight_tensor_parameter_129: name = "parameter_129" + original_name = "conv2d_80.w_0" shape = [256, 256, 3, 3] dtype = "float32" min_val = float("-0.222083") @@ -1422,6 +1552,7 @@ class Program_weight_tensor_parameter_129: class Program_weight_tensor_parameter_130: name = "parameter_130" + original_name = "batch_norm2d_79.b_0" shape = [256] dtype = "float32" min_val = float("-0.206188") @@ -1433,6 +1564,7 @@ class Program_weight_tensor_parameter_130: class Program_weight_tensor_parameter_131: name = "parameter_131" + original_name = "batch_norm2d_79.w_0" shape = [256] dtype = "float32" min_val = float("0.108899") @@ -1444,6 +1576,7 @@ class Program_weight_tensor_parameter_131: class Program_weight_tensor_parameter_132: name = "parameter_132" + original_name = "batch_norm2d_79.w_2" shape = [256] dtype = "float32" min_val = float("0.00559263") @@ -1455,6 +1588,7 @@ class Program_weight_tensor_parameter_132: class Program_weight_tensor_parameter_133: name = "parameter_133" + original_name = "batch_norm2d_79.w_1" shape = [256] dtype = "float32" min_val = float("-0.213021") @@ -1466,6 +1600,7 @@ class Program_weight_tensor_parameter_133: class Program_weight_tensor_parameter_134: name = "parameter_134" + original_name = "conv2d_79.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.188505") @@ -1477,6 +1612,7 @@ class Program_weight_tensor_parameter_134: class Program_weight_tensor_parameter_135: name = "parameter_135" + original_name = "batch_norm2d_78.b_0" shape = [1024] dtype = "float32" min_val = float("-0.181122") @@ -1488,6 +1624,7 @@ class Program_weight_tensor_parameter_135: class Program_weight_tensor_parameter_136: name = "parameter_136" + original_name = "batch_norm2d_78.w_0" shape = [1024] dtype = "float32" min_val = float("-0.145373") @@ -1499,6 +1636,7 @@ class Program_weight_tensor_parameter_136: class Program_weight_tensor_parameter_137: name = "parameter_137" + original_name = "batch_norm2d_78.w_2" shape = [1024] dtype = "float32" min_val = float("1.08898e-05") @@ -1510,6 +1648,7 @@ class Program_weight_tensor_parameter_137: class Program_weight_tensor_parameter_138: name = "parameter_138" + original_name = "batch_norm2d_78.w_1" shape = [1024] dtype = "float32" min_val = float("-0.0353485") @@ -1521,6 +1660,7 @@ class Program_weight_tensor_parameter_138: class Program_weight_tensor_parameter_139: name = "parameter_139" + original_name = "conv2d_78.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.220901") @@ -1532,6 +1672,7 @@ class Program_weight_tensor_parameter_139: class Program_weight_tensor_parameter_140: name = "parameter_140" + original_name = "batch_norm2d_77.b_0" shape = [256] dtype = "float32" min_val = float("-0.202712") @@ -1543,6 +1684,7 @@ class Program_weight_tensor_parameter_140: class Program_weight_tensor_parameter_141: name = "parameter_141" + original_name = "batch_norm2d_77.w_0" shape = [256] dtype = "float32" min_val = float("0.0763934") @@ -1554,6 +1696,7 @@ class Program_weight_tensor_parameter_141: class Program_weight_tensor_parameter_142: name = "parameter_142" + original_name = "batch_norm2d_77.w_2" shape = [256] dtype = "float32" min_val = float("0.000963988") @@ -1565,6 +1708,7 @@ class Program_weight_tensor_parameter_142: class Program_weight_tensor_parameter_143: name = "parameter_143" + original_name = "batch_norm2d_77.w_1" shape = [256] dtype = "float32" min_val = float("-0.0708342") @@ -1576,6 +1720,7 @@ class Program_weight_tensor_parameter_143: class Program_weight_tensor_parameter_144: name = "parameter_144" + original_name = "conv2d_77.w_0" shape = [256, 256, 3, 3] dtype = "float32" min_val = float("-0.228344") @@ -1587,6 +1732,7 @@ class Program_weight_tensor_parameter_144: class Program_weight_tensor_parameter_145: name = "parameter_145" + original_name = "batch_norm2d_76.b_0" shape = [256] dtype = "float32" min_val = float("-0.239451") @@ -1598,6 +1744,7 @@ class Program_weight_tensor_parameter_145: class Program_weight_tensor_parameter_146: name = "parameter_146" + original_name = "batch_norm2d_76.w_0" shape = [256] dtype = "float32" min_val = float("0.0775438") @@ -1609,6 +1756,7 @@ class Program_weight_tensor_parameter_146: class Program_weight_tensor_parameter_147: name = "parameter_147" + original_name = "batch_norm2d_76.w_2" shape = [256] dtype = "float32" min_val = float("0.00587883") @@ -1620,6 +1768,7 @@ class Program_weight_tensor_parameter_147: class Program_weight_tensor_parameter_148: name = "parameter_148" + original_name = "batch_norm2d_76.w_1" shape = [256] dtype = "float32" min_val = float("-0.279282") @@ -1631,6 +1780,7 @@ class Program_weight_tensor_parameter_148: class Program_weight_tensor_parameter_149: name = "parameter_149" + original_name = "conv2d_76.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.146159") @@ -1642,6 +1792,7 @@ class Program_weight_tensor_parameter_149: class Program_weight_tensor_parameter_150: name = "parameter_150" + original_name = "batch_norm2d_75.b_0" shape = [1024] dtype = "float32" min_val = float("-0.310629") @@ -1653,6 +1804,7 @@ class Program_weight_tensor_parameter_150: class Program_weight_tensor_parameter_151: name = "parameter_151" + original_name = "batch_norm2d_75.w_0" shape = [1024] dtype = "float32" min_val = float("-0.138146") @@ -1664,6 +1816,7 @@ class Program_weight_tensor_parameter_151: class Program_weight_tensor_parameter_152: name = "parameter_152" + original_name = "batch_norm2d_75.w_2" shape = [1024] dtype = "float32" min_val = float("4.95912e-06") @@ -1675,6 +1828,7 @@ class Program_weight_tensor_parameter_152: class Program_weight_tensor_parameter_153: name = "parameter_153" + original_name = "batch_norm2d_75.w_1" shape = [1024] dtype = "float32" min_val = float("-0.0451512") @@ -1686,6 +1840,7 @@ class Program_weight_tensor_parameter_153: class Program_weight_tensor_parameter_154: name = "parameter_154" + original_name = "conv2d_75.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.233892") @@ -1697,6 +1852,7 @@ class Program_weight_tensor_parameter_154: class Program_weight_tensor_parameter_155: name = "parameter_155" + original_name = "batch_norm2d_74.b_0" shape = [256] dtype = "float32" min_val = float("-0.172584") @@ -1708,6 +1864,7 @@ class Program_weight_tensor_parameter_155: class Program_weight_tensor_parameter_156: name = "parameter_156" + original_name = "batch_norm2d_74.w_0" shape = [256] dtype = "float32" min_val = float("0.0603789") @@ -1719,6 +1876,7 @@ class Program_weight_tensor_parameter_156: class Program_weight_tensor_parameter_157: name = "parameter_157" + original_name = "batch_norm2d_74.w_2" shape = [256] dtype = "float32" min_val = float("0.000760807") @@ -1730,6 +1888,7 @@ class Program_weight_tensor_parameter_157: class Program_weight_tensor_parameter_158: name = "parameter_158" + original_name = "batch_norm2d_74.w_1" shape = [256] dtype = "float32" min_val = float("-0.0930041") @@ -1741,6 +1900,7 @@ class Program_weight_tensor_parameter_158: class Program_weight_tensor_parameter_159: name = "parameter_159" + original_name = "conv2d_74.w_0" shape = [256, 256, 3, 3] dtype = "float32" min_val = float("-0.257786") @@ -1752,6 +1912,7 @@ class Program_weight_tensor_parameter_159: class Program_weight_tensor_parameter_160: name = "parameter_160" + original_name = "batch_norm2d_73.b_0" shape = [256] dtype = "float32" min_val = float("-0.188166") @@ -1763,6 +1924,7 @@ class Program_weight_tensor_parameter_160: class Program_weight_tensor_parameter_161: name = "parameter_161" + original_name = "batch_norm2d_73.w_0" shape = [256] dtype = "float32" min_val = float("0.0726036") @@ -1774,6 +1936,7 @@ class Program_weight_tensor_parameter_161: class Program_weight_tensor_parameter_162: name = "parameter_162" + original_name = "batch_norm2d_73.w_2" shape = [256] dtype = "float32" min_val = float("0.00493726") @@ -1785,6 +1948,7 @@ class Program_weight_tensor_parameter_162: class Program_weight_tensor_parameter_163: name = "parameter_163" + original_name = "batch_norm2d_73.w_1" shape = [256] dtype = "float32" min_val = float("-0.260304") @@ -1796,6 +1960,7 @@ class Program_weight_tensor_parameter_163: class Program_weight_tensor_parameter_164: name = "parameter_164" + original_name = "conv2d_73.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.312267") @@ -1807,6 +1972,7 @@ class Program_weight_tensor_parameter_164: class Program_weight_tensor_parameter_165: name = "parameter_165" + original_name = "batch_norm2d_72.b_0" shape = [1024] dtype = "float32" min_val = float("-0.148636") @@ -1818,6 +1984,7 @@ class Program_weight_tensor_parameter_165: class Program_weight_tensor_parameter_166: name = "parameter_166" + original_name = "batch_norm2d_72.w_0" shape = [1024] dtype = "float32" min_val = float("-0.141259") @@ -1829,6 +1996,7 @@ class Program_weight_tensor_parameter_166: class Program_weight_tensor_parameter_167: name = "parameter_167" + original_name = "batch_norm2d_72.w_2" shape = [1024] dtype = "float32" min_val = float("5.43185e-06") @@ -1840,6 +2008,7 @@ class Program_weight_tensor_parameter_167: class Program_weight_tensor_parameter_168: name = "parameter_168" + original_name = "batch_norm2d_72.w_1" shape = [1024] dtype = "float32" min_val = float("-0.03162") @@ -1851,6 +2020,7 @@ class Program_weight_tensor_parameter_168: class Program_weight_tensor_parameter_169: name = "parameter_169" + original_name = "conv2d_72.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.22121") @@ -1862,6 +2032,7 @@ class Program_weight_tensor_parameter_169: class Program_weight_tensor_parameter_170: name = "parameter_170" + original_name = "batch_norm2d_71.b_0" shape = [256] dtype = "float32" min_val = float("-0.18168") @@ -1873,6 +2044,7 @@ class Program_weight_tensor_parameter_170: class Program_weight_tensor_parameter_171: name = "parameter_171" + original_name = "batch_norm2d_71.w_0" shape = [256] dtype = "float32" min_val = float("0.0786765") @@ -1884,6 +2056,7 @@ class Program_weight_tensor_parameter_171: class Program_weight_tensor_parameter_172: name = "parameter_172" + original_name = "batch_norm2d_71.w_2" shape = [256] dtype = "float32" min_val = float("0.000687754") @@ -1895,6 +2068,7 @@ class Program_weight_tensor_parameter_172: class Program_weight_tensor_parameter_173: name = "parameter_173" + original_name = "batch_norm2d_71.w_1" shape = [256] dtype = "float32" min_val = float("-0.0647085") @@ -1906,6 +2080,7 @@ class Program_weight_tensor_parameter_173: class Program_weight_tensor_parameter_174: name = "parameter_174" + original_name = "conv2d_71.w_0" shape = [256, 256, 3, 3] dtype = "float32" min_val = float("-0.341731") @@ -1917,6 +2092,7 @@ class Program_weight_tensor_parameter_174: class Program_weight_tensor_parameter_175: name = "parameter_175" + original_name = "batch_norm2d_70.b_0" shape = [256] dtype = "float32" min_val = float("-0.192519") @@ -1928,6 +2104,7 @@ class Program_weight_tensor_parameter_175: class Program_weight_tensor_parameter_176: name = "parameter_176" + original_name = "batch_norm2d_70.w_0" shape = [256] dtype = "float32" min_val = float("0.069175") @@ -1939,6 +2116,7 @@ class Program_weight_tensor_parameter_176: class Program_weight_tensor_parameter_177: name = "parameter_177" + original_name = "batch_norm2d_70.w_2" shape = [256] dtype = "float32" min_val = float("0.00495853") @@ -1950,6 +2128,7 @@ class Program_weight_tensor_parameter_177: class Program_weight_tensor_parameter_178: name = "parameter_178" + original_name = "batch_norm2d_70.w_1" shape = [256] dtype = "float32" min_val = float("-0.479151") @@ -1961,6 +2140,7 @@ class Program_weight_tensor_parameter_178: class Program_weight_tensor_parameter_179: name = "parameter_179" + original_name = "conv2d_70.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.262533") @@ -1972,6 +2152,7 @@ class Program_weight_tensor_parameter_179: class Program_weight_tensor_parameter_180: name = "parameter_180" + original_name = "batch_norm2d_69.b_0" shape = [1024] dtype = "float32" min_val = float("-0.193909") @@ -1983,6 +2164,7 @@ class Program_weight_tensor_parameter_180: class Program_weight_tensor_parameter_181: name = "parameter_181" + original_name = "batch_norm2d_69.w_0" shape = [1024] dtype = "float32" min_val = float("-0.138217") @@ -1994,6 +2176,7 @@ class Program_weight_tensor_parameter_181: class Program_weight_tensor_parameter_182: name = "parameter_182" + original_name = "batch_norm2d_69.w_2" shape = [1024] dtype = "float32" min_val = float("6.24548e-06") @@ -2005,6 +2188,7 @@ class Program_weight_tensor_parameter_182: class Program_weight_tensor_parameter_183: name = "parameter_183" + original_name = "batch_norm2d_69.w_1" shape = [1024] dtype = "float32" min_val = float("-0.0310979") @@ -2016,6 +2200,7 @@ class Program_weight_tensor_parameter_183: class Program_weight_tensor_parameter_184: name = "parameter_184" + original_name = "conv2d_69.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.198004") @@ -2027,6 +2212,7 @@ class Program_weight_tensor_parameter_184: class Program_weight_tensor_parameter_185: name = "parameter_185" + original_name = "batch_norm2d_68.b_0" shape = [256] dtype = "float32" min_val = float("-0.190172") @@ -2038,6 +2224,7 @@ class Program_weight_tensor_parameter_185: class Program_weight_tensor_parameter_186: name = "parameter_186" + original_name = "batch_norm2d_68.w_0" shape = [256] dtype = "float32" min_val = float("0.0498696") @@ -2049,6 +2236,7 @@ class Program_weight_tensor_parameter_186: class Program_weight_tensor_parameter_187: name = "parameter_187" + original_name = "batch_norm2d_68.w_2" shape = [256] dtype = "float32" min_val = float("0.000762434") @@ -2060,6 +2248,7 @@ class Program_weight_tensor_parameter_187: class Program_weight_tensor_parameter_188: name = "parameter_188" + original_name = "batch_norm2d_68.w_1" shape = [256] dtype = "float32" min_val = float("-0.092693") @@ -2071,6 +2260,7 @@ class Program_weight_tensor_parameter_188: class Program_weight_tensor_parameter_189: name = "parameter_189" + original_name = "conv2d_68.w_0" shape = [256, 256, 3, 3] dtype = "float32" min_val = float("-0.141964") @@ -2082,6 +2272,7 @@ class Program_weight_tensor_parameter_189: class Program_weight_tensor_parameter_190: name = "parameter_190" + original_name = "batch_norm2d_67.b_0" shape = [256] dtype = "float32" min_val = float("-0.17389") @@ -2093,6 +2284,7 @@ class Program_weight_tensor_parameter_190: class Program_weight_tensor_parameter_191: name = "parameter_191" + original_name = "batch_norm2d_67.w_0" shape = [256] dtype = "float32" min_val = float("0.0755592") @@ -2104,6 +2296,7 @@ class Program_weight_tensor_parameter_191: class Program_weight_tensor_parameter_192: name = "parameter_192" + original_name = "batch_norm2d_67.w_2" shape = [256] dtype = "float32" min_val = float("0.00429851") @@ -2115,6 +2308,7 @@ class Program_weight_tensor_parameter_192: class Program_weight_tensor_parameter_193: name = "parameter_193" + original_name = "batch_norm2d_67.w_1" shape = [256] dtype = "float32" min_val = float("-0.181446") @@ -2126,6 +2320,7 @@ class Program_weight_tensor_parameter_193: class Program_weight_tensor_parameter_194: name = "parameter_194" + original_name = "conv2d_67.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.183962") @@ -2137,6 +2332,7 @@ class Program_weight_tensor_parameter_194: class Program_weight_tensor_parameter_195: name = "parameter_195" + original_name = "batch_norm2d_66.b_0" shape = [1024] dtype = "float32" min_val = float("-0.253488") @@ -2148,6 +2344,7 @@ class Program_weight_tensor_parameter_195: class Program_weight_tensor_parameter_196: name = "parameter_196" + original_name = "batch_norm2d_66.w_0" shape = [1024] dtype = "float32" min_val = float("-0.124794") @@ -2159,6 +2356,7 @@ class Program_weight_tensor_parameter_196: class Program_weight_tensor_parameter_197: name = "parameter_197" + original_name = "batch_norm2d_66.w_2" shape = [1024] dtype = "float32" min_val = float("6.39378e-06") @@ -2170,6 +2368,7 @@ class Program_weight_tensor_parameter_197: class Program_weight_tensor_parameter_198: name = "parameter_198" + original_name = "batch_norm2d_66.w_1" shape = [1024] dtype = "float32" min_val = float("-0.0375304") @@ -2181,6 +2380,7 @@ class Program_weight_tensor_parameter_198: class Program_weight_tensor_parameter_199: name = "parameter_199" + original_name = "conv2d_66.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.227128") @@ -2192,6 +2392,7 @@ class Program_weight_tensor_parameter_199: class Program_weight_tensor_parameter_200: name = "parameter_200" + original_name = "batch_norm2d_65.b_0" shape = [256] dtype = "float32" min_val = float("-0.156207") @@ -2203,6 +2404,7 @@ class Program_weight_tensor_parameter_200: class Program_weight_tensor_parameter_201: name = "parameter_201" + original_name = "batch_norm2d_65.w_0" shape = [256] dtype = "float32" min_val = float("0.0622247") @@ -2214,6 +2416,7 @@ class Program_weight_tensor_parameter_201: class Program_weight_tensor_parameter_202: name = "parameter_202" + original_name = "batch_norm2d_65.w_2" shape = [256] dtype = "float32" min_val = float("0.000753361") @@ -2225,6 +2428,7 @@ class Program_weight_tensor_parameter_202: class Program_weight_tensor_parameter_203: name = "parameter_203" + original_name = "batch_norm2d_65.w_1" shape = [256] dtype = "float32" min_val = float("-0.0939348") @@ -2236,6 +2440,7 @@ class Program_weight_tensor_parameter_203: class Program_weight_tensor_parameter_204: name = "parameter_204" + original_name = "conv2d_65.w_0" shape = [256, 256, 3, 3] dtype = "float32" min_val = float("-0.132033") @@ -2247,6 +2452,7 @@ class Program_weight_tensor_parameter_204: class Program_weight_tensor_parameter_205: name = "parameter_205" + original_name = "batch_norm2d_64.b_0" shape = [256] dtype = "float32" min_val = float("-0.171042") @@ -2258,6 +2464,7 @@ class Program_weight_tensor_parameter_205: class Program_weight_tensor_parameter_206: name = "parameter_206" + original_name = "batch_norm2d_64.w_0" shape = [256] dtype = "float32" min_val = float("0.0526623") @@ -2269,6 +2476,7 @@ class Program_weight_tensor_parameter_206: class Program_weight_tensor_parameter_207: name = "parameter_207" + original_name = "batch_norm2d_64.w_2" shape = [256] dtype = "float32" min_val = float("0.00350379") @@ -2280,6 +2488,7 @@ class Program_weight_tensor_parameter_207: class Program_weight_tensor_parameter_208: name = "parameter_208" + original_name = "batch_norm2d_64.w_1" shape = [256] dtype = "float32" min_val = float("-0.299507") @@ -2291,6 +2500,7 @@ class Program_weight_tensor_parameter_208: class Program_weight_tensor_parameter_209: name = "parameter_209" + original_name = "conv2d_64.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.169499") @@ -2302,6 +2512,7 @@ class Program_weight_tensor_parameter_209: class Program_weight_tensor_parameter_210: name = "parameter_210" + original_name = "batch_norm2d_63.b_0" shape = [1024] dtype = "float32" min_val = float("-0.211417") @@ -2313,6 +2524,7 @@ class Program_weight_tensor_parameter_210: class Program_weight_tensor_parameter_211: name = "parameter_211" + original_name = "batch_norm2d_63.w_0" shape = [1024] dtype = "float32" min_val = float("-0.120856") @@ -2324,6 +2536,7 @@ class Program_weight_tensor_parameter_211: class Program_weight_tensor_parameter_212: name = "parameter_212" + original_name = "batch_norm2d_63.w_2" shape = [1024] dtype = "float32" min_val = float("5.53608e-06") @@ -2335,6 +2548,7 @@ class Program_weight_tensor_parameter_212: class Program_weight_tensor_parameter_213: name = "parameter_213" + original_name = "batch_norm2d_63.w_1" shape = [1024] dtype = "float32" min_val = float("-0.0597337") @@ -2346,6 +2560,7 @@ class Program_weight_tensor_parameter_213: class Program_weight_tensor_parameter_214: name = "parameter_214" + original_name = "conv2d_63.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.310881") @@ -2357,6 +2572,7 @@ class Program_weight_tensor_parameter_214: class Program_weight_tensor_parameter_215: name = "parameter_215" + original_name = "batch_norm2d_62.b_0" shape = [256] dtype = "float32" min_val = float("-0.163316") @@ -2368,6 +2584,7 @@ class Program_weight_tensor_parameter_215: class Program_weight_tensor_parameter_216: name = "parameter_216" + original_name = "batch_norm2d_62.w_0" shape = [256] dtype = "float32" min_val = float("0.0746887") @@ -2379,6 +2596,7 @@ class Program_weight_tensor_parameter_216: class Program_weight_tensor_parameter_217: name = "parameter_217" + original_name = "batch_norm2d_62.w_2" shape = [256] dtype = "float32" min_val = float("0.000601658") @@ -2390,6 +2608,7 @@ class Program_weight_tensor_parameter_217: class Program_weight_tensor_parameter_218: name = "parameter_218" + original_name = "batch_norm2d_62.w_1" shape = [256] dtype = "float32" min_val = float("-0.132378") @@ -2401,6 +2620,7 @@ class Program_weight_tensor_parameter_218: class Program_weight_tensor_parameter_219: name = "parameter_219" + original_name = "conv2d_62.w_0" shape = [256, 256, 3, 3] dtype = "float32" min_val = float("-0.135128") @@ -2412,6 +2632,7 @@ class Program_weight_tensor_parameter_219: class Program_weight_tensor_parameter_220: name = "parameter_220" + original_name = "batch_norm2d_61.b_0" shape = [256] dtype = "float32" min_val = float("-0.177842") @@ -2423,6 +2644,7 @@ class Program_weight_tensor_parameter_220: class Program_weight_tensor_parameter_221: name = "parameter_221" + original_name = "batch_norm2d_61.w_0" shape = [256] dtype = "float32" min_val = float("0.0755452") @@ -2434,6 +2656,7 @@ class Program_weight_tensor_parameter_221: class Program_weight_tensor_parameter_222: name = "parameter_222" + original_name = "batch_norm2d_61.w_2" shape = [256] dtype = "float32" min_val = float("0.003121") @@ -2445,6 +2668,7 @@ class Program_weight_tensor_parameter_222: class Program_weight_tensor_parameter_223: name = "parameter_223" + original_name = "batch_norm2d_61.w_1" shape = [256] dtype = "float32" min_val = float("-0.237717") @@ -2456,6 +2680,7 @@ class Program_weight_tensor_parameter_223: class Program_weight_tensor_parameter_224: name = "parameter_224" + original_name = "conv2d_61.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.147657") @@ -2467,6 +2692,7 @@ class Program_weight_tensor_parameter_224: class Program_weight_tensor_parameter_225: name = "parameter_225" + original_name = "batch_norm2d_60.b_0" shape = [1024] dtype = "float32" min_val = float("-0.126319") @@ -2478,6 +2704,7 @@ class Program_weight_tensor_parameter_225: class Program_weight_tensor_parameter_226: name = "parameter_226" + original_name = "batch_norm2d_60.w_0" shape = [1024] dtype = "float32" min_val = float("-0.128895") @@ -2489,6 +2716,7 @@ class Program_weight_tensor_parameter_226: class Program_weight_tensor_parameter_227: name = "parameter_227" + original_name = "batch_norm2d_60.w_2" shape = [1024] dtype = "float32" min_val = float("4.63147e-06") @@ -2500,6 +2728,7 @@ class Program_weight_tensor_parameter_227: class Program_weight_tensor_parameter_228: name = "parameter_228" + original_name = "batch_norm2d_60.w_1" shape = [1024] dtype = "float32" min_val = float("-0.0322771") @@ -2511,6 +2740,7 @@ class Program_weight_tensor_parameter_228: class Program_weight_tensor_parameter_229: name = "parameter_229" + original_name = "conv2d_60.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.194955") @@ -2522,6 +2752,7 @@ class Program_weight_tensor_parameter_229: class Program_weight_tensor_parameter_230: name = "parameter_230" + original_name = "batch_norm2d_59.b_0" shape = [256] dtype = "float32" min_val = float("-0.167313") @@ -2533,6 +2764,7 @@ class Program_weight_tensor_parameter_230: class Program_weight_tensor_parameter_231: name = "parameter_231" + original_name = "batch_norm2d_59.w_0" shape = [256] dtype = "float32" min_val = float("0.0733046") @@ -2544,6 +2776,7 @@ class Program_weight_tensor_parameter_231: class Program_weight_tensor_parameter_232: name = "parameter_232" + original_name = "batch_norm2d_59.w_2" shape = [256] dtype = "float32" min_val = float("0.000667906") @@ -2555,6 +2788,7 @@ class Program_weight_tensor_parameter_232: class Program_weight_tensor_parameter_233: name = "parameter_233" + original_name = "batch_norm2d_59.w_1" shape = [256] dtype = "float32" min_val = float("-0.148904") @@ -2566,6 +2800,7 @@ class Program_weight_tensor_parameter_233: class Program_weight_tensor_parameter_234: name = "parameter_234" + original_name = "conv2d_59.w_0" shape = [256, 256, 3, 3] dtype = "float32" min_val = float("-0.130859") @@ -2577,6 +2812,7 @@ class Program_weight_tensor_parameter_234: class Program_weight_tensor_parameter_235: name = "parameter_235" + original_name = "batch_norm2d_58.b_0" shape = [256] dtype = "float32" min_val = float("-0.173763") @@ -2588,6 +2824,7 @@ class Program_weight_tensor_parameter_235: class Program_weight_tensor_parameter_236: name = "parameter_236" + original_name = "batch_norm2d_58.w_0" shape = [256] dtype = "float32" min_val = float("0.0666068") @@ -2599,6 +2836,7 @@ class Program_weight_tensor_parameter_236: class Program_weight_tensor_parameter_237: name = "parameter_237" + original_name = "batch_norm2d_58.w_2" shape = [256] dtype = "float32" min_val = float("0.00312008") @@ -2610,6 +2848,7 @@ class Program_weight_tensor_parameter_237: class Program_weight_tensor_parameter_238: name = "parameter_238" + original_name = "batch_norm2d_58.w_1" shape = [256] dtype = "float32" min_val = float("-0.30751") @@ -2621,6 +2860,7 @@ class Program_weight_tensor_parameter_238: class Program_weight_tensor_parameter_239: name = "parameter_239" + original_name = "conv2d_58.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.115584") @@ -2632,6 +2872,7 @@ class Program_weight_tensor_parameter_239: class Program_weight_tensor_parameter_240: name = "parameter_240" + original_name = "batch_norm2d_57.b_0" shape = [1024] dtype = "float32" min_val = float("-0.119933") @@ -2643,6 +2884,7 @@ class Program_weight_tensor_parameter_240: class Program_weight_tensor_parameter_241: name = "parameter_241" + original_name = "batch_norm2d_57.w_0" shape = [1024] dtype = "float32" min_val = float("-0.116181") @@ -2654,6 +2896,7 @@ class Program_weight_tensor_parameter_241: class Program_weight_tensor_parameter_242: name = "parameter_242" + original_name = "batch_norm2d_57.w_2" shape = [1024] dtype = "float32" min_val = float("5.72313e-06") @@ -2665,6 +2908,7 @@ class Program_weight_tensor_parameter_242: class Program_weight_tensor_parameter_243: name = "parameter_243" + original_name = "batch_norm2d_57.w_1" shape = [1024] dtype = "float32" min_val = float("-0.0419524") @@ -2676,6 +2920,7 @@ class Program_weight_tensor_parameter_243: class Program_weight_tensor_parameter_244: name = "parameter_244" + original_name = "conv2d_57.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.14805") @@ -2687,6 +2932,7 @@ class Program_weight_tensor_parameter_244: class Program_weight_tensor_parameter_245: name = "parameter_245" + original_name = "batch_norm2d_56.b_0" shape = [256] dtype = "float32" min_val = float("-0.20508") @@ -2698,6 +2944,7 @@ class Program_weight_tensor_parameter_245: class Program_weight_tensor_parameter_246: name = "parameter_246" + original_name = "batch_norm2d_56.w_0" shape = [256] dtype = "float32" min_val = float("0.0810124") @@ -2709,6 +2956,7 @@ class Program_weight_tensor_parameter_246: class Program_weight_tensor_parameter_247: name = "parameter_247" + original_name = "batch_norm2d_56.w_2" shape = [256] dtype = "float32" min_val = float("0.000611006") @@ -2720,6 +2968,7 @@ class Program_weight_tensor_parameter_247: class Program_weight_tensor_parameter_248: name = "parameter_248" + original_name = "batch_norm2d_56.w_1" shape = [256] dtype = "float32" min_val = float("-0.104777") @@ -2731,6 +2980,7 @@ class Program_weight_tensor_parameter_248: class Program_weight_tensor_parameter_249: name = "parameter_249" + original_name = "conv2d_56.w_0" shape = [256, 256, 3, 3] dtype = "float32" min_val = float("-0.125223") @@ -2742,6 +2992,7 @@ class Program_weight_tensor_parameter_249: class Program_weight_tensor_parameter_250: name = "parameter_250" + original_name = "batch_norm2d_55.b_0" shape = [256] dtype = "float32" min_val = float("-0.243507") @@ -2753,6 +3004,7 @@ class Program_weight_tensor_parameter_250: class Program_weight_tensor_parameter_251: name = "parameter_251" + original_name = "batch_norm2d_55.w_0" shape = [256] dtype = "float32" min_val = float("0.065066") @@ -2764,6 +3016,7 @@ class Program_weight_tensor_parameter_251: class Program_weight_tensor_parameter_252: name = "parameter_252" + original_name = "batch_norm2d_55.w_2" shape = [256] dtype = "float32" min_val = float("0.00405772") @@ -2775,6 +3028,7 @@ class Program_weight_tensor_parameter_252: class Program_weight_tensor_parameter_253: name = "parameter_253" + original_name = "batch_norm2d_55.w_1" shape = [256] dtype = "float32" min_val = float("-0.218554") @@ -2786,6 +3040,7 @@ class Program_weight_tensor_parameter_253: class Program_weight_tensor_parameter_254: name = "parameter_254" + original_name = "conv2d_55.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.122758") @@ -2797,6 +3052,7 @@ class Program_weight_tensor_parameter_254: class Program_weight_tensor_parameter_255: name = "parameter_255" + original_name = "batch_norm2d_54.b_0" shape = [1024] dtype = "float32" min_val = float("-0.152402") @@ -2808,6 +3064,7 @@ class Program_weight_tensor_parameter_255: class Program_weight_tensor_parameter_256: name = "parameter_256" + original_name = "batch_norm2d_54.w_0" shape = [1024] dtype = "float32" min_val = float("-0.129227") @@ -2819,6 +3076,7 @@ class Program_weight_tensor_parameter_256: class Program_weight_tensor_parameter_257: name = "parameter_257" + original_name = "batch_norm2d_54.w_2" shape = [1024] dtype = "float32" min_val = float("3.37996e-06") @@ -2830,6 +3088,7 @@ class Program_weight_tensor_parameter_257: class Program_weight_tensor_parameter_258: name = "parameter_258" + original_name = "batch_norm2d_54.w_1" shape = [1024] dtype = "float32" min_val = float("-0.0442738") @@ -2841,6 +3100,7 @@ class Program_weight_tensor_parameter_258: class Program_weight_tensor_parameter_259: name = "parameter_259" + original_name = "conv2d_54.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.157289") @@ -2852,6 +3112,7 @@ class Program_weight_tensor_parameter_259: class Program_weight_tensor_parameter_260: name = "parameter_260" + original_name = "batch_norm2d_53.b_0" shape = [256] dtype = "float32" min_val = float("-0.214222") @@ -2863,6 +3124,7 @@ class Program_weight_tensor_parameter_260: class Program_weight_tensor_parameter_261: name = "parameter_261" + original_name = "batch_norm2d_53.w_0" shape = [256] dtype = "float32" min_val = float("0.083162") @@ -2874,6 +3136,7 @@ class Program_weight_tensor_parameter_261: class Program_weight_tensor_parameter_262: name = "parameter_262" + original_name = "batch_norm2d_53.w_2" shape = [256] dtype = "float32" min_val = float("0.00147176") @@ -2885,6 +3148,7 @@ class Program_weight_tensor_parameter_262: class Program_weight_tensor_parameter_263: name = "parameter_263" + original_name = "batch_norm2d_53.w_1" shape = [256] dtype = "float32" min_val = float("-0.124527") @@ -2896,6 +3160,7 @@ class Program_weight_tensor_parameter_263: class Program_weight_tensor_parameter_264: name = "parameter_264" + original_name = "conv2d_53.w_0" shape = [256, 256, 3, 3] dtype = "float32" min_val = float("-0.0855654") @@ -2907,6 +3172,7 @@ class Program_weight_tensor_parameter_264: class Program_weight_tensor_parameter_265: name = "parameter_265" + original_name = "batch_norm2d_52.b_0" shape = [256] dtype = "float32" min_val = float("-0.230885") @@ -2918,6 +3184,7 @@ class Program_weight_tensor_parameter_265: class Program_weight_tensor_parameter_266: name = "parameter_266" + original_name = "batch_norm2d_52.w_0" shape = [256] dtype = "float32" min_val = float("0.0675117") @@ -2929,6 +3196,7 @@ class Program_weight_tensor_parameter_266: class Program_weight_tensor_parameter_267: name = "parameter_267" + original_name = "batch_norm2d_52.w_2" shape = [256] dtype = "float32" min_val = float("0.00537478") @@ -2940,6 +3208,7 @@ class Program_weight_tensor_parameter_267: class Program_weight_tensor_parameter_268: name = "parameter_268" + original_name = "batch_norm2d_52.w_1" shape = [256] dtype = "float32" min_val = float("-0.220865") @@ -2951,6 +3220,7 @@ class Program_weight_tensor_parameter_268: class Program_weight_tensor_parameter_269: name = "parameter_269" + original_name = "conv2d_52.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.116207") @@ -2962,6 +3232,7 @@ class Program_weight_tensor_parameter_269: class Program_weight_tensor_parameter_270: name = "parameter_270" + original_name = "batch_norm2d_51.b_0" shape = [1024] dtype = "float32" min_val = float("-0.165148") @@ -2973,6 +3244,7 @@ class Program_weight_tensor_parameter_270: class Program_weight_tensor_parameter_271: name = "parameter_271" + original_name = "batch_norm2d_51.w_0" shape = [1024] dtype = "float32" min_val = float("-0.147604") @@ -2984,6 +3256,7 @@ class Program_weight_tensor_parameter_271: class Program_weight_tensor_parameter_272: name = "parameter_272" + original_name = "batch_norm2d_51.w_2" shape = [1024] dtype = "float32" min_val = float("1.17329e-06") @@ -2995,6 +3268,7 @@ class Program_weight_tensor_parameter_272: class Program_weight_tensor_parameter_273: name = "parameter_273" + original_name = "batch_norm2d_51.w_1" shape = [1024] dtype = "float32" min_val = float("-0.0424746") @@ -3006,6 +3280,7 @@ class Program_weight_tensor_parameter_273: class Program_weight_tensor_parameter_274: name = "parameter_274" + original_name = "conv2d_51.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.161922") @@ -3017,6 +3292,7 @@ class Program_weight_tensor_parameter_274: class Program_weight_tensor_parameter_275: name = "parameter_275" + original_name = "batch_norm2d_50.b_0" shape = [256] dtype = "float32" min_val = float("-0.215184") @@ -3028,6 +3304,7 @@ class Program_weight_tensor_parameter_275: class Program_weight_tensor_parameter_276: name = "parameter_276" + original_name = "batch_norm2d_50.w_0" shape = [256] dtype = "float32" min_val = float("0.0914712") @@ -3039,6 +3316,7 @@ class Program_weight_tensor_parameter_276: class Program_weight_tensor_parameter_277: name = "parameter_277" + original_name = "batch_norm2d_50.w_2" shape = [256] dtype = "float32" min_val = float("0.00129181") @@ -3050,6 +3328,7 @@ class Program_weight_tensor_parameter_277: class Program_weight_tensor_parameter_278: name = "parameter_278" + original_name = "batch_norm2d_50.w_1" shape = [256] dtype = "float32" min_val = float("-0.103572") @@ -3061,6 +3340,7 @@ class Program_weight_tensor_parameter_278: class Program_weight_tensor_parameter_279: name = "parameter_279" + original_name = "conv2d_50.w_0" shape = [256, 256, 3, 3] dtype = "float32" min_val = float("-0.110592") @@ -3072,6 +3352,7 @@ class Program_weight_tensor_parameter_279: class Program_weight_tensor_parameter_280: name = "parameter_280" + original_name = "batch_norm2d_49.b_0" shape = [256] dtype = "float32" min_val = float("-0.209288") @@ -3083,6 +3364,7 @@ class Program_weight_tensor_parameter_280: class Program_weight_tensor_parameter_281: name = "parameter_281" + original_name = "batch_norm2d_49.w_0" shape = [256] dtype = "float32" min_val = float("0.0720223") @@ -3094,6 +3376,7 @@ class Program_weight_tensor_parameter_281: class Program_weight_tensor_parameter_282: name = "parameter_282" + original_name = "batch_norm2d_49.w_2" shape = [256] dtype = "float32" min_val = float("0.00511033") @@ -3105,6 +3388,7 @@ class Program_weight_tensor_parameter_282: class Program_weight_tensor_parameter_283: name = "parameter_283" + original_name = "batch_norm2d_49.w_1" shape = [256] dtype = "float32" min_val = float("-0.277127") @@ -3116,6 +3400,7 @@ class Program_weight_tensor_parameter_283: class Program_weight_tensor_parameter_284: name = "parameter_284" + original_name = "conv2d_49.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.161483") @@ -3127,6 +3412,7 @@ class Program_weight_tensor_parameter_284: class Program_weight_tensor_parameter_285: name = "parameter_285" + original_name = "batch_norm2d_48.b_0" shape = [1024] dtype = "float32" min_val = float("-0.240391") @@ -3138,6 +3424,7 @@ class Program_weight_tensor_parameter_285: class Program_weight_tensor_parameter_286: name = "parameter_286" + original_name = "batch_norm2d_48.w_0" shape = [1024] dtype = "float32" min_val = float("-0.156487") @@ -3149,6 +3436,7 @@ class Program_weight_tensor_parameter_286: class Program_weight_tensor_parameter_287: name = "parameter_287" + original_name = "batch_norm2d_48.w_2" shape = [1024] dtype = "float32" min_val = float("4.04274e-07") @@ -3160,6 +3448,7 @@ class Program_weight_tensor_parameter_287: class Program_weight_tensor_parameter_288: name = "parameter_288" + original_name = "batch_norm2d_48.w_1" shape = [1024] dtype = "float32" min_val = float("-0.0727822") @@ -3171,6 +3460,7 @@ class Program_weight_tensor_parameter_288: class Program_weight_tensor_parameter_289: name = "parameter_289" + original_name = "conv2d_48.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.174736") @@ -3182,6 +3472,7 @@ class Program_weight_tensor_parameter_289: class Program_weight_tensor_parameter_290: name = "parameter_290" + original_name = "batch_norm2d_47.b_0" shape = [256] dtype = "float32" min_val = float("-0.20359") @@ -3193,6 +3484,7 @@ class Program_weight_tensor_parameter_290: class Program_weight_tensor_parameter_291: name = "parameter_291" + original_name = "batch_norm2d_47.w_0" shape = [256] dtype = "float32" min_val = float("0.0785741") @@ -3204,6 +3496,7 @@ class Program_weight_tensor_parameter_291: class Program_weight_tensor_parameter_292: name = "parameter_292" + original_name = "batch_norm2d_47.w_2" shape = [256] dtype = "float32" min_val = float("0.00174302") @@ -3215,6 +3508,7 @@ class Program_weight_tensor_parameter_292: class Program_weight_tensor_parameter_293: name = "parameter_293" + original_name = "batch_norm2d_47.w_1" shape = [256] dtype = "float32" min_val = float("-0.177519") @@ -3226,6 +3520,7 @@ class Program_weight_tensor_parameter_293: class Program_weight_tensor_parameter_294: name = "parameter_294" + original_name = "conv2d_47.w_0" shape = [256, 256, 3, 3] dtype = "float32" min_val = float("-0.101101") @@ -3237,6 +3532,7 @@ class Program_weight_tensor_parameter_294: class Program_weight_tensor_parameter_295: name = "parameter_295" + original_name = "batch_norm2d_46.b_0" shape = [256] dtype = "float32" min_val = float("-0.221902") @@ -3248,6 +3544,7 @@ class Program_weight_tensor_parameter_295: class Program_weight_tensor_parameter_296: name = "parameter_296" + original_name = "batch_norm2d_46.w_0" shape = [256] dtype = "float32" min_val = float("0.0721614") @@ -3259,6 +3556,7 @@ class Program_weight_tensor_parameter_296: class Program_weight_tensor_parameter_297: name = "parameter_297" + original_name = "batch_norm2d_46.w_2" shape = [256] dtype = "float32" min_val = float("0.00304618") @@ -3270,6 +3568,7 @@ class Program_weight_tensor_parameter_297: class Program_weight_tensor_parameter_298: name = "parameter_298" + original_name = "batch_norm2d_46.w_1" shape = [256] dtype = "float32" min_val = float("-0.161046") @@ -3281,6 +3580,7 @@ class Program_weight_tensor_parameter_298: class Program_weight_tensor_parameter_299: name = "parameter_299" + original_name = "conv2d_46.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.137639") @@ -3292,6 +3592,7 @@ class Program_weight_tensor_parameter_299: class Program_weight_tensor_parameter_300: name = "parameter_300" + original_name = "batch_norm2d_45.b_0" shape = [1024] dtype = "float32" min_val = float("-0.13357") @@ -3303,6 +3604,7 @@ class Program_weight_tensor_parameter_300: class Program_weight_tensor_parameter_301: name = "parameter_301" + original_name = "batch_norm2d_45.w_0" shape = [1024] dtype = "float32" min_val = float("-0.172899") @@ -3314,6 +3616,7 @@ class Program_weight_tensor_parameter_301: class Program_weight_tensor_parameter_302: name = "parameter_302" + original_name = "batch_norm2d_45.w_2" shape = [1024] dtype = "float32" min_val = float("3.2612e-07") @@ -3325,6 +3628,7 @@ class Program_weight_tensor_parameter_302: class Program_weight_tensor_parameter_303: name = "parameter_303" + original_name = "batch_norm2d_45.w_1" shape = [1024] dtype = "float32" min_val = float("-0.0507962") @@ -3336,6 +3640,7 @@ class Program_weight_tensor_parameter_303: class Program_weight_tensor_parameter_304: name = "parameter_304" + original_name = "conv2d_45.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.169217") @@ -3347,6 +3652,7 @@ class Program_weight_tensor_parameter_304: class Program_weight_tensor_parameter_305: name = "parameter_305" + original_name = "batch_norm2d_44.b_0" shape = [256] dtype = "float32" min_val = float("-0.185415") @@ -3358,6 +3664,7 @@ class Program_weight_tensor_parameter_305: class Program_weight_tensor_parameter_306: name = "parameter_306" + original_name = "batch_norm2d_44.w_0" shape = [256] dtype = "float32" min_val = float("0.0882016") @@ -3369,6 +3676,7 @@ class Program_weight_tensor_parameter_306: class Program_weight_tensor_parameter_307: name = "parameter_307" + original_name = "batch_norm2d_44.w_2" shape = [256] dtype = "float32" min_val = float("0.00211616") @@ -3380,6 +3688,7 @@ class Program_weight_tensor_parameter_307: class Program_weight_tensor_parameter_308: name = "parameter_308" + original_name = "batch_norm2d_44.w_1" shape = [256] dtype = "float32" min_val = float("-0.101167") @@ -3391,6 +3700,7 @@ class Program_weight_tensor_parameter_308: class Program_weight_tensor_parameter_309: name = "parameter_309" + original_name = "conv2d_44.w_0" shape = [256, 256, 3, 3] dtype = "float32" min_val = float("-0.102754") @@ -3402,6 +3712,7 @@ class Program_weight_tensor_parameter_309: class Program_weight_tensor_parameter_310: name = "parameter_310" + original_name = "batch_norm2d_43.b_0" shape = [256] dtype = "float32" min_val = float("-0.206417") @@ -3413,6 +3724,7 @@ class Program_weight_tensor_parameter_310: class Program_weight_tensor_parameter_311: name = "parameter_311" + original_name = "batch_norm2d_43.w_0" shape = [256] dtype = "float32" min_val = float("0.0661517") @@ -3424,6 +3736,7 @@ class Program_weight_tensor_parameter_311: class Program_weight_tensor_parameter_312: name = "parameter_312" + original_name = "batch_norm2d_43.w_2" shape = [256] dtype = "float32" min_val = float("0.00251232") @@ -3435,6 +3748,7 @@ class Program_weight_tensor_parameter_312: class Program_weight_tensor_parameter_313: name = "parameter_313" + original_name = "batch_norm2d_43.w_1" shape = [256] dtype = "float32" min_val = float("-0.194756") @@ -3446,6 +3760,7 @@ class Program_weight_tensor_parameter_313: class Program_weight_tensor_parameter_314: name = "parameter_314" + original_name = "conv2d_43.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.128768") @@ -3457,6 +3772,7 @@ class Program_weight_tensor_parameter_314: class Program_weight_tensor_parameter_315: name = "parameter_315" + original_name = "batch_norm2d_42.b_0" shape = [1024] dtype = "float32" min_val = float("-0.183517") @@ -3468,6 +3784,7 @@ class Program_weight_tensor_parameter_315: class Program_weight_tensor_parameter_316: name = "parameter_316" + original_name = "batch_norm2d_42.w_0" shape = [1024] dtype = "float32" min_val = float("-0.175905") @@ -3479,6 +3796,7 @@ class Program_weight_tensor_parameter_316: class Program_weight_tensor_parameter_317: name = "parameter_317" + original_name = "batch_norm2d_42.w_2" shape = [1024] dtype = "float32" min_val = float("1.28957e-07") @@ -3490,6 +3808,7 @@ class Program_weight_tensor_parameter_317: class Program_weight_tensor_parameter_318: name = "parameter_318" + original_name = "batch_norm2d_42.w_1" shape = [1024] dtype = "float32" min_val = float("-0.054914") @@ -3501,6 +3820,7 @@ class Program_weight_tensor_parameter_318: class Program_weight_tensor_parameter_319: name = "parameter_319" + original_name = "conv2d_42.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.184543") @@ -3512,6 +3832,7 @@ class Program_weight_tensor_parameter_319: class Program_weight_tensor_parameter_320: name = "parameter_320" + original_name = "batch_norm2d_41.b_0" shape = [256] dtype = "float32" min_val = float("-0.220034") @@ -3523,6 +3844,7 @@ class Program_weight_tensor_parameter_320: class Program_weight_tensor_parameter_321: name = "parameter_321" + original_name = "batch_norm2d_41.w_0" shape = [256] dtype = "float32" min_val = float("0.0904205") @@ -3534,6 +3856,7 @@ class Program_weight_tensor_parameter_321: class Program_weight_tensor_parameter_322: name = "parameter_322" + original_name = "batch_norm2d_41.w_2" shape = [256] dtype = "float32" min_val = float("0.00202106") @@ -3545,6 +3868,7 @@ class Program_weight_tensor_parameter_322: class Program_weight_tensor_parameter_323: name = "parameter_323" + original_name = "batch_norm2d_41.w_1" shape = [256] dtype = "float32" min_val = float("-0.18565") @@ -3556,6 +3880,7 @@ class Program_weight_tensor_parameter_323: class Program_weight_tensor_parameter_324: name = "parameter_324" + original_name = "conv2d_41.w_0" shape = [256, 256, 3, 3] dtype = "float32" min_val = float("-0.116671") @@ -3567,6 +3892,7 @@ class Program_weight_tensor_parameter_324: class Program_weight_tensor_parameter_325: name = "parameter_325" + original_name = "batch_norm2d_40.b_0" shape = [256] dtype = "float32" min_val = float("-0.253702") @@ -3578,6 +3904,7 @@ class Program_weight_tensor_parameter_325: class Program_weight_tensor_parameter_326: name = "parameter_326" + original_name = "batch_norm2d_40.w_0" shape = [256] dtype = "float32" min_val = float("-1.05592e-09") @@ -3589,6 +3916,7 @@ class Program_weight_tensor_parameter_326: class Program_weight_tensor_parameter_327: name = "parameter_327" + original_name = "batch_norm2d_40.w_2" shape = [256] dtype = "float32" min_val = float("7.32171e-16") @@ -3600,6 +3928,7 @@ class Program_weight_tensor_parameter_327: class Program_weight_tensor_parameter_328: name = "parameter_328" + original_name = "batch_norm2d_40.w_1" shape = [256] dtype = "float32" min_val = float("-0.402519") @@ -3611,6 +3940,7 @@ class Program_weight_tensor_parameter_328: class Program_weight_tensor_parameter_329: name = "parameter_329" + original_name = "conv2d_40.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.169552") @@ -3622,6 +3952,7 @@ class Program_weight_tensor_parameter_329: class Program_weight_tensor_parameter_330: name = "parameter_330" + original_name = "batch_norm2d_39.b_0" shape = [1024] dtype = "float32" min_val = float("-0.211239") @@ -3633,6 +3964,7 @@ class Program_weight_tensor_parameter_330: class Program_weight_tensor_parameter_331: name = "parameter_331" + original_name = "batch_norm2d_39.w_0" shape = [1024] dtype = "float32" min_val = float("-0.185733") @@ -3644,6 +3976,7 @@ class Program_weight_tensor_parameter_331: class Program_weight_tensor_parameter_332: name = "parameter_332" + original_name = "batch_norm2d_39.w_2" shape = [1024] dtype = "float32" min_val = float("2.45689e-12") @@ -3655,6 +3988,7 @@ class Program_weight_tensor_parameter_332: class Program_weight_tensor_parameter_333: name = "parameter_333" + original_name = "batch_norm2d_39.w_1" shape = [1024] dtype = "float32" min_val = float("-0.0733265") @@ -3666,6 +4000,7 @@ class Program_weight_tensor_parameter_333: class Program_weight_tensor_parameter_334: name = "parameter_334" + original_name = "conv2d_39.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.285383") @@ -3677,6 +4012,7 @@ class Program_weight_tensor_parameter_334: class Program_weight_tensor_parameter_335: name = "parameter_335" + original_name = "batch_norm2d_38.b_0" shape = [256] dtype = "float32" min_val = float("-0.368835") @@ -3688,6 +4024,7 @@ class Program_weight_tensor_parameter_335: class Program_weight_tensor_parameter_336: name = "parameter_336" + original_name = "batch_norm2d_38.w_0" shape = [256] dtype = "float32" min_val = float("4.87519e-09") @@ -3699,6 +4036,7 @@ class Program_weight_tensor_parameter_336: class Program_weight_tensor_parameter_337: name = "parameter_337" + original_name = "batch_norm2d_38.w_2" shape = [256] dtype = "float32" min_val = float("1.0498e-15") @@ -3710,6 +4048,7 @@ class Program_weight_tensor_parameter_337: class Program_weight_tensor_parameter_338: name = "parameter_338" + original_name = "batch_norm2d_38.w_1" shape = [256] dtype = "float32" min_val = float("-0.156661") @@ -3721,6 +4060,7 @@ class Program_weight_tensor_parameter_338: class Program_weight_tensor_parameter_339: name = "parameter_339" + original_name = "conv2d_38.w_0" shape = [256, 256, 3, 3] dtype = "float32" min_val = float("-0.0928331") @@ -3732,6 +4072,7 @@ class Program_weight_tensor_parameter_339: class Program_weight_tensor_parameter_340: name = "parameter_340" + original_name = "batch_norm2d_37.b_0" shape = [256] dtype = "float32" min_val = float("-0.190766") @@ -3743,6 +4084,7 @@ class Program_weight_tensor_parameter_340: class Program_weight_tensor_parameter_341: name = "parameter_341" + original_name = "batch_norm2d_37.w_0" shape = [256] dtype = "float32" min_val = float("-3.91253e-09") @@ -3754,6 +4096,7 @@ class Program_weight_tensor_parameter_341: class Program_weight_tensor_parameter_342: name = "parameter_342" + original_name = "batch_norm2d_37.w_2" shape = [256] dtype = "float32" min_val = float("7.43149e-16") @@ -3765,6 +4108,7 @@ class Program_weight_tensor_parameter_342: class Program_weight_tensor_parameter_343: name = "parameter_343" + original_name = "batch_norm2d_37.w_1" shape = [256] dtype = "float32" min_val = float("-0.40422") @@ -3776,6 +4120,7 @@ class Program_weight_tensor_parameter_343: class Program_weight_tensor_parameter_344: name = "parameter_344" + original_name = "conv2d_37.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.165548") @@ -3787,6 +4132,7 @@ class Program_weight_tensor_parameter_344: class Program_weight_tensor_parameter_345: name = "parameter_345" + original_name = "batch_norm2d_36.b_0" shape = [1024] dtype = "float32" min_val = float("-0.17975") @@ -3798,6 +4144,7 @@ class Program_weight_tensor_parameter_345: class Program_weight_tensor_parameter_346: name = "parameter_346" + original_name = "batch_norm2d_36.w_0" shape = [1024] dtype = "float32" min_val = float("-0.203723") @@ -3809,6 +4156,7 @@ class Program_weight_tensor_parameter_346: class Program_weight_tensor_parameter_347: name = "parameter_347" + original_name = "batch_norm2d_36.w_2" shape = [1024] dtype = "float32" min_val = float("5.8249e-14") @@ -3820,6 +4168,7 @@ class Program_weight_tensor_parameter_347: class Program_weight_tensor_parameter_348: name = "parameter_348" + original_name = "batch_norm2d_36.w_1" shape = [1024] dtype = "float32" min_val = float("-0.0804665") @@ -3831,6 +4180,7 @@ class Program_weight_tensor_parameter_348: class Program_weight_tensor_parameter_349: name = "parameter_349" + original_name = "conv2d_36.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.165972") @@ -3842,6 +4192,7 @@ class Program_weight_tensor_parameter_349: class Program_weight_tensor_parameter_350: name = "parameter_350" + original_name = "batch_norm2d_35.b_0" shape = [256] dtype = "float32" min_val = float("-0.211127") @@ -3853,6 +4204,7 @@ class Program_weight_tensor_parameter_350: class Program_weight_tensor_parameter_351: name = "parameter_351" + original_name = "batch_norm2d_35.w_0" shape = [256] dtype = "float32" min_val = float("-0.0180287") @@ -3864,6 +4216,7 @@ class Program_weight_tensor_parameter_351: class Program_weight_tensor_parameter_352: name = "parameter_352" + original_name = "batch_norm2d_35.w_2" shape = [256] dtype = "float32" min_val = float("3.35643e-06") @@ -3875,6 +4228,7 @@ class Program_weight_tensor_parameter_352: class Program_weight_tensor_parameter_353: name = "parameter_353" + original_name = "batch_norm2d_35.w_1" shape = [256] dtype = "float32" min_val = float("-0.121016") @@ -3886,6 +4240,7 @@ class Program_weight_tensor_parameter_353: class Program_weight_tensor_parameter_354: name = "parameter_354" + original_name = "conv2d_35.w_0" shape = [256, 256, 3, 3] dtype = "float32" min_val = float("-0.0969983") @@ -3897,6 +4252,7 @@ class Program_weight_tensor_parameter_354: class Program_weight_tensor_parameter_355: name = "parameter_355" + original_name = "batch_norm2d_34.b_0" shape = [256] dtype = "float32" min_val = float("-0.139594") @@ -3908,6 +4264,7 @@ class Program_weight_tensor_parameter_355: class Program_weight_tensor_parameter_356: name = "parameter_356" + original_name = "batch_norm2d_34.w_0" shape = [256] dtype = "float32" min_val = float("-0.0831397") @@ -3919,6 +4276,7 @@ class Program_weight_tensor_parameter_356: class Program_weight_tensor_parameter_357: name = "parameter_357" + original_name = "batch_norm2d_34.w_2" shape = [256] dtype = "float32" min_val = float("1.24875e-15") @@ -3930,6 +4288,7 @@ class Program_weight_tensor_parameter_357: class Program_weight_tensor_parameter_358: name = "parameter_358" + original_name = "batch_norm2d_34.w_1" shape = [256] dtype = "float32" min_val = float("-0.296561") @@ -3941,6 +4300,7 @@ class Program_weight_tensor_parameter_358: class Program_weight_tensor_parameter_359: name = "parameter_359" + original_name = "conv2d_34.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.151306") @@ -3952,6 +4312,7 @@ class Program_weight_tensor_parameter_359: class Program_weight_tensor_parameter_360: name = "parameter_360" + original_name = "batch_norm2d_33.b_0" shape = [1024] dtype = "float32" min_val = float("-0.239385") @@ -3963,6 +4324,7 @@ class Program_weight_tensor_parameter_360: class Program_weight_tensor_parameter_361: name = "parameter_361" + original_name = "batch_norm2d_33.w_0" shape = [1024] dtype = "float32" min_val = float("-0.28073") @@ -3974,6 +4336,7 @@ class Program_weight_tensor_parameter_361: class Program_weight_tensor_parameter_362: name = "parameter_362" + original_name = "batch_norm2d_33.w_2" shape = [1024] dtype = "float32" min_val = float("4.15589e-17") @@ -3985,6 +4348,7 @@ class Program_weight_tensor_parameter_362: class Program_weight_tensor_parameter_363: name = "parameter_363" + original_name = "batch_norm2d_33.w_1" shape = [1024] dtype = "float32" min_val = float("-0.020432") @@ -3996,6 +4360,7 @@ class Program_weight_tensor_parameter_363: class Program_weight_tensor_parameter_364: name = "parameter_364" + original_name = "conv2d_33.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.185406") @@ -4007,6 +4372,7 @@ class Program_weight_tensor_parameter_364: class Program_weight_tensor_parameter_365: name = "parameter_365" + original_name = "batch_norm2d_32.b_0" shape = [256] dtype = "float32" min_val = float("-0.134863") @@ -4018,6 +4384,7 @@ class Program_weight_tensor_parameter_365: class Program_weight_tensor_parameter_366: name = "parameter_366" + original_name = "batch_norm2d_32.w_0" shape = [256] dtype = "float32" min_val = float("-0.076787") @@ -4029,6 +4396,7 @@ class Program_weight_tensor_parameter_366: class Program_weight_tensor_parameter_367: name = "parameter_367" + original_name = "batch_norm2d_32.w_2" shape = [256] dtype = "float32" min_val = float("4.67884e-15") @@ -4040,6 +4408,7 @@ class Program_weight_tensor_parameter_367: class Program_weight_tensor_parameter_368: name = "parameter_368" + original_name = "batch_norm2d_32.w_1" shape = [256] dtype = "float32" min_val = float("-0.403367") @@ -4051,6 +4420,7 @@ class Program_weight_tensor_parameter_368: class Program_weight_tensor_parameter_369: name = "parameter_369" + original_name = "conv2d_32.w_0" shape = [256, 256, 3, 3] dtype = "float32" min_val = float("-0.0753493") @@ -4062,6 +4432,7 @@ class Program_weight_tensor_parameter_369: class Program_weight_tensor_parameter_370: name = "parameter_370" + original_name = "batch_norm2d_31.b_0" shape = [256] dtype = "float32" min_val = float("-0.147381") @@ -4073,6 +4444,7 @@ class Program_weight_tensor_parameter_370: class Program_weight_tensor_parameter_371: name = "parameter_371" + original_name = "batch_norm2d_31.w_0" shape = [256] dtype = "float32" min_val = float("-0.118148") @@ -4084,6 +4456,7 @@ class Program_weight_tensor_parameter_371: class Program_weight_tensor_parameter_372: name = "parameter_372" + original_name = "batch_norm2d_31.w_2" shape = [256] dtype = "float32" min_val = float("3.28172e-15") @@ -4095,6 +4468,7 @@ class Program_weight_tensor_parameter_372: class Program_weight_tensor_parameter_373: name = "parameter_373" + original_name = "batch_norm2d_31.w_1" shape = [256] dtype = "float32" min_val = float("-0.257075") @@ -4106,6 +4480,7 @@ class Program_weight_tensor_parameter_373: class Program_weight_tensor_parameter_374: name = "parameter_374" + original_name = "conv2d_31.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.115686") @@ -4117,6 +4492,7 @@ class Program_weight_tensor_parameter_374: class Program_weight_tensor_parameter_375: name = "parameter_375" + original_name = "batch_norm2d_30.b_0" shape = [1024] dtype = "float32" min_val = float("-0.151093") @@ -4128,6 +4504,7 @@ class Program_weight_tensor_parameter_375: class Program_weight_tensor_parameter_376: name = "parameter_376" + original_name = "batch_norm2d_30.w_0" shape = [1024] dtype = "float32" min_val = float("-0.316738") @@ -4139,6 +4516,7 @@ class Program_weight_tensor_parameter_376: class Program_weight_tensor_parameter_377: name = "parameter_377" + original_name = "batch_norm2d_30.w_2" shape = [1024] dtype = "float32" min_val = float("2.55025e-18") @@ -4150,6 +4528,7 @@ class Program_weight_tensor_parameter_377: class Program_weight_tensor_parameter_378: name = "parameter_378" + original_name = "batch_norm2d_30.w_1" shape = [1024] dtype = "float32" min_val = float("-0.0195094") @@ -4161,6 +4540,7 @@ class Program_weight_tensor_parameter_378: class Program_weight_tensor_parameter_379: name = "parameter_379" + original_name = "conv2d_30.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.227901") @@ -4172,6 +4552,7 @@ class Program_weight_tensor_parameter_379: class Program_weight_tensor_parameter_380: name = "parameter_380" + original_name = "batch_norm2d_29.b_0" shape = [256] dtype = "float32" min_val = float("-0.126924") @@ -4183,6 +4564,7 @@ class Program_weight_tensor_parameter_380: class Program_weight_tensor_parameter_381: name = "parameter_381" + original_name = "batch_norm2d_29.w_0" shape = [256] dtype = "float32" min_val = float("-0.0946831") @@ -4194,6 +4576,7 @@ class Program_weight_tensor_parameter_381: class Program_weight_tensor_parameter_382: name = "parameter_382" + original_name = "batch_norm2d_29.w_2" shape = [256] dtype = "float32" min_val = float("5.68885e-16") @@ -4205,6 +4588,7 @@ class Program_weight_tensor_parameter_382: class Program_weight_tensor_parameter_383: name = "parameter_383" + original_name = "batch_norm2d_29.w_1" shape = [256] dtype = "float32" min_val = float("-0.396474") @@ -4216,6 +4600,7 @@ class Program_weight_tensor_parameter_383: class Program_weight_tensor_parameter_384: name = "parameter_384" + original_name = "conv2d_29.w_0" shape = [256, 256, 3, 3] dtype = "float32" min_val = float("-0.0865259") @@ -4227,6 +4612,7 @@ class Program_weight_tensor_parameter_384: class Program_weight_tensor_parameter_385: name = "parameter_385" + original_name = "batch_norm2d_28.b_0" shape = [256] dtype = "float32" min_val = float("-0.168122") @@ -4238,6 +4624,7 @@ class Program_weight_tensor_parameter_385: class Program_weight_tensor_parameter_386: name = "parameter_386" + original_name = "batch_norm2d_28.w_0" shape = [256] dtype = "float32" min_val = float("-0.0953706") @@ -4249,6 +4636,7 @@ class Program_weight_tensor_parameter_386: class Program_weight_tensor_parameter_387: name = "parameter_387" + original_name = "batch_norm2d_28.w_2" shape = [256] dtype = "float32" min_val = float("1.73366e-15") @@ -4260,6 +4648,7 @@ class Program_weight_tensor_parameter_387: class Program_weight_tensor_parameter_388: name = "parameter_388" + original_name = "batch_norm2d_28.w_1" shape = [256] dtype = "float32" min_val = float("-0.167232") @@ -4271,6 +4660,7 @@ class Program_weight_tensor_parameter_388: class Program_weight_tensor_parameter_389: name = "parameter_389" + original_name = "conv2d_28.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.13623") @@ -4282,6 +4672,7 @@ class Program_weight_tensor_parameter_389: class Program_weight_tensor_parameter_390: name = "parameter_390" + original_name = "batch_norm2d_27.b_0" shape = [1024] dtype = "float32" min_val = float("-0.0766335") @@ -4293,6 +4684,7 @@ class Program_weight_tensor_parameter_390: class Program_weight_tensor_parameter_391: name = "parameter_391" + original_name = "batch_norm2d_27.w_0" shape = [1024] dtype = "float32" min_val = float("-0.163621") @@ -4304,6 +4696,7 @@ class Program_weight_tensor_parameter_391: class Program_weight_tensor_parameter_392: name = "parameter_392" + original_name = "batch_norm2d_27.w_2" shape = [1024] dtype = "float32" min_val = float("1.2871e-15") @@ -4315,6 +4708,7 @@ class Program_weight_tensor_parameter_392: class Program_weight_tensor_parameter_393: name = "parameter_393" + original_name = "batch_norm2d_27.w_1" shape = [1024] dtype = "float32" min_val = float("-0.250062") @@ -4326,6 +4720,7 @@ class Program_weight_tensor_parameter_393: class Program_weight_tensor_parameter_394: name = "parameter_394" + original_name = "conv2d_27.w_0" shape = [1024, 512, 1, 1] dtype = "float32" min_val = float("-0.273612") @@ -4337,6 +4732,7 @@ class Program_weight_tensor_parameter_394: class Program_weight_tensor_parameter_395: name = "parameter_395" + original_name = "batch_norm2d_26.b_0" shape = [1024] dtype = "float32" min_val = float("-0.0766335") @@ -4348,6 +4744,7 @@ class Program_weight_tensor_parameter_395: class Program_weight_tensor_parameter_396: name = "parameter_396" + original_name = "batch_norm2d_26.w_0" shape = [1024] dtype = "float32" min_val = float("-0.184578") @@ -4359,6 +4756,7 @@ class Program_weight_tensor_parameter_396: class Program_weight_tensor_parameter_397: name = "parameter_397" + original_name = "batch_norm2d_26.w_2" shape = [1024] dtype = "float32" min_val = float("3.82263e-16") @@ -4370,6 +4768,7 @@ class Program_weight_tensor_parameter_397: class Program_weight_tensor_parameter_398: name = "parameter_398" + original_name = "batch_norm2d_26.w_1" shape = [1024] dtype = "float32" min_val = float("-0.234461") @@ -4381,6 +4780,7 @@ class Program_weight_tensor_parameter_398: class Program_weight_tensor_parameter_399: name = "parameter_399" + original_name = "conv2d_26.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.248088") @@ -4392,6 +4792,7 @@ class Program_weight_tensor_parameter_399: class Program_weight_tensor_parameter_400: name = "parameter_400" + original_name = "batch_norm2d_25.b_0" shape = [256] dtype = "float32" min_val = float("-0.109783") @@ -4403,6 +4804,7 @@ class Program_weight_tensor_parameter_400: class Program_weight_tensor_parameter_401: name = "parameter_401" + original_name = "batch_norm2d_25.w_0" shape = [256] dtype = "float32" min_val = float("-0.197438") @@ -4414,6 +4816,7 @@ class Program_weight_tensor_parameter_401: class Program_weight_tensor_parameter_402: name = "parameter_402" + original_name = "batch_norm2d_25.w_2" shape = [256] dtype = "float32" min_val = float("1.2894e-15") @@ -4425,6 +4828,7 @@ class Program_weight_tensor_parameter_402: class Program_weight_tensor_parameter_403: name = "parameter_403" + original_name = "batch_norm2d_25.w_1" shape = [256] dtype = "float32" min_val = float("-0.217346") @@ -4436,6 +4840,7 @@ class Program_weight_tensor_parameter_403: class Program_weight_tensor_parameter_404: name = "parameter_404" + original_name = "conv2d_25.w_0" shape = [256, 256, 3, 3] dtype = "float32" min_val = float("-0.201716") @@ -4447,6 +4852,7 @@ class Program_weight_tensor_parameter_404: class Program_weight_tensor_parameter_405: name = "parameter_405" + original_name = "batch_norm2d_24.b_0" shape = [256] dtype = "float32" min_val = float("-0.308919") @@ -4458,6 +4864,7 @@ class Program_weight_tensor_parameter_405: class Program_weight_tensor_parameter_406: name = "parameter_406" + original_name = "batch_norm2d_24.w_0" shape = [256] dtype = "float32" min_val = float("-0.279714") @@ -4469,6 +4876,7 @@ class Program_weight_tensor_parameter_406: class Program_weight_tensor_parameter_407: name = "parameter_407" + original_name = "batch_norm2d_24.w_2" shape = [256] dtype = "float32" min_val = float("8.94475e-16") @@ -4480,6 +4888,7 @@ class Program_weight_tensor_parameter_407: class Program_weight_tensor_parameter_408: name = "parameter_408" + original_name = "batch_norm2d_24.w_1" shape = [256] dtype = "float32" min_val = float("-0.338856") @@ -4491,6 +4900,7 @@ class Program_weight_tensor_parameter_408: class Program_weight_tensor_parameter_409: name = "parameter_409" + original_name = "conv2d_24.w_0" shape = [256, 512, 1, 1] dtype = "float32" min_val = float("-0.411436") @@ -4502,6 +4912,7 @@ class Program_weight_tensor_parameter_409: class Program_weight_tensor_parameter_410: name = "parameter_410" + original_name = "batch_norm2d_23.b_0" shape = [512] dtype = "float32" min_val = float("-0.289555") @@ -4513,6 +4924,7 @@ class Program_weight_tensor_parameter_410: class Program_weight_tensor_parameter_411: name = "parameter_411" + original_name = "batch_norm2d_23.w_0" shape = [512] dtype = "float32" min_val = float("-0.284893") @@ -4524,6 +4936,7 @@ class Program_weight_tensor_parameter_411: class Program_weight_tensor_parameter_412: name = "parameter_412" + original_name = "batch_norm2d_23.w_2" shape = [512] dtype = "float32" min_val = float("1.90608e-05") @@ -4535,6 +4948,7 @@ class Program_weight_tensor_parameter_412: class Program_weight_tensor_parameter_413: name = "parameter_413" + original_name = "batch_norm2d_23.w_1" shape = [512] dtype = "float32" min_val = float("-0.0842377") @@ -4546,6 +4960,7 @@ class Program_weight_tensor_parameter_413: class Program_weight_tensor_parameter_414: name = "parameter_414" + original_name = "conv2d_23.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.256801") @@ -4557,6 +4972,7 @@ class Program_weight_tensor_parameter_414: class Program_weight_tensor_parameter_415: name = "parameter_415" + original_name = "batch_norm2d_22.b_0" shape = [128] dtype = "float32" min_val = float("-0.211798") @@ -4568,6 +4984,7 @@ class Program_weight_tensor_parameter_415: class Program_weight_tensor_parameter_416: name = "parameter_416" + original_name = "batch_norm2d_22.w_0" shape = [128] dtype = "float32" min_val = float("-0.404399") @@ -4579,6 +4996,7 @@ class Program_weight_tensor_parameter_416: class Program_weight_tensor_parameter_417: name = "parameter_417" + original_name = "batch_norm2d_22.w_2" shape = [128] dtype = "float32" min_val = float("8.13148e-16") @@ -4590,6 +5008,7 @@ class Program_weight_tensor_parameter_417: class Program_weight_tensor_parameter_418: name = "parameter_418" + original_name = "batch_norm2d_22.w_1" shape = [128] dtype = "float32" min_val = float("-0.240399") @@ -4601,6 +5020,7 @@ class Program_weight_tensor_parameter_418: class Program_weight_tensor_parameter_419: name = "parameter_419" + original_name = "conv2d_22.w_0" shape = [128, 128, 3, 3] dtype = "float32" min_val = float("-0.125893") @@ -4612,6 +5032,7 @@ class Program_weight_tensor_parameter_419: class Program_weight_tensor_parameter_420: name = "parameter_420" + original_name = "batch_norm2d_21.b_0" shape = [128] dtype = "float32" min_val = float("-0.199946") @@ -4623,6 +5044,7 @@ class Program_weight_tensor_parameter_420: class Program_weight_tensor_parameter_421: name = "parameter_421" + original_name = "batch_norm2d_21.w_0" shape = [128] dtype = "float32" min_val = float("-0.187177") @@ -4634,6 +5056,7 @@ class Program_weight_tensor_parameter_421: class Program_weight_tensor_parameter_422: name = "parameter_422" + original_name = "batch_norm2d_21.w_2" shape = [128] dtype = "float32" min_val = float("3.11128e-15") @@ -4645,6 +5068,7 @@ class Program_weight_tensor_parameter_422: class Program_weight_tensor_parameter_423: name = "parameter_423" + original_name = "batch_norm2d_21.w_1" shape = [128] dtype = "float32" min_val = float("-0.214568") @@ -4656,6 +5080,7 @@ class Program_weight_tensor_parameter_423: class Program_weight_tensor_parameter_424: name = "parameter_424" + original_name = "conv2d_21.w_0" shape = [128, 512, 1, 1] dtype = "float32" min_val = float("-0.210134") @@ -4667,6 +5092,7 @@ class Program_weight_tensor_parameter_424: class Program_weight_tensor_parameter_425: name = "parameter_425" + original_name = "batch_norm2d_20.b_0" shape = [512] dtype = "float32" min_val = float("-0.185496") @@ -4678,6 +5104,7 @@ class Program_weight_tensor_parameter_425: class Program_weight_tensor_parameter_426: name = "parameter_426" + original_name = "batch_norm2d_20.w_0" shape = [512] dtype = "float32" min_val = float("-0.202235") @@ -4689,6 +5116,7 @@ class Program_weight_tensor_parameter_426: class Program_weight_tensor_parameter_427: name = "parameter_427" + original_name = "batch_norm2d_20.w_2" shape = [512] dtype = "float32" min_val = float("1.12061e-05") @@ -4700,6 +5128,7 @@ class Program_weight_tensor_parameter_427: class Program_weight_tensor_parameter_428: name = "parameter_428" + original_name = "batch_norm2d_20.w_1" shape = [512] dtype = "float32" min_val = float("-0.100332") @@ -4711,6 +5140,7 @@ class Program_weight_tensor_parameter_428: class Program_weight_tensor_parameter_429: name = "parameter_429" + original_name = "conv2d_20.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.174174") @@ -4722,6 +5152,7 @@ class Program_weight_tensor_parameter_429: class Program_weight_tensor_parameter_430: name = "parameter_430" + original_name = "batch_norm2d_19.b_0" shape = [128] dtype = "float32" min_val = float("-0.192543") @@ -4733,6 +5164,7 @@ class Program_weight_tensor_parameter_430: class Program_weight_tensor_parameter_431: name = "parameter_431" + original_name = "batch_norm2d_19.w_0" shape = [128] dtype = "float32" min_val = float("-0.343498") @@ -4744,6 +5176,7 @@ class Program_weight_tensor_parameter_431: class Program_weight_tensor_parameter_432: name = "parameter_432" + original_name = "batch_norm2d_19.w_2" shape = [128] dtype = "float32" min_val = float("1.91774e-15") @@ -4755,6 +5188,7 @@ class Program_weight_tensor_parameter_432: class Program_weight_tensor_parameter_433: name = "parameter_433" + original_name = "batch_norm2d_19.w_1" shape = [128] dtype = "float32" min_val = float("-0.14513") @@ -4766,6 +5200,7 @@ class Program_weight_tensor_parameter_433: class Program_weight_tensor_parameter_434: name = "parameter_434" + original_name = "conv2d_19.w_0" shape = [128, 128, 3, 3] dtype = "float32" min_val = float("-0.13258") @@ -4777,6 +5212,7 @@ class Program_weight_tensor_parameter_434: class Program_weight_tensor_parameter_435: name = "parameter_435" + original_name = "batch_norm2d_18.b_0" shape = [128] dtype = "float32" min_val = float("-0.201505") @@ -4788,6 +5224,7 @@ class Program_weight_tensor_parameter_435: class Program_weight_tensor_parameter_436: name = "parameter_436" + original_name = "batch_norm2d_18.w_0" shape = [128] dtype = "float32" min_val = float("-0.204134") @@ -4799,6 +5236,7 @@ class Program_weight_tensor_parameter_436: class Program_weight_tensor_parameter_437: name = "parameter_437" + original_name = "batch_norm2d_18.w_2" shape = [128] dtype = "float32" min_val = float("3.94535e-15") @@ -4810,6 +5248,7 @@ class Program_weight_tensor_parameter_437: class Program_weight_tensor_parameter_438: name = "parameter_438" + original_name = "batch_norm2d_18.w_1" shape = [128] dtype = "float32" min_val = float("-0.183041") @@ -4821,6 +5260,7 @@ class Program_weight_tensor_parameter_438: class Program_weight_tensor_parameter_439: name = "parameter_439" + original_name = "conv2d_18.w_0" shape = [128, 512, 1, 1] dtype = "float32" min_val = float("-0.16164") @@ -4832,6 +5272,7 @@ class Program_weight_tensor_parameter_439: class Program_weight_tensor_parameter_440: name = "parameter_440" + original_name = "batch_norm2d_17.b_0" shape = [512] dtype = "float32" min_val = float("-0.223548") @@ -4843,6 +5284,7 @@ class Program_weight_tensor_parameter_440: class Program_weight_tensor_parameter_441: name = "parameter_441" + original_name = "batch_norm2d_17.w_0" shape = [512] dtype = "float32" min_val = float("-0.274516") @@ -4854,6 +5296,7 @@ class Program_weight_tensor_parameter_441: class Program_weight_tensor_parameter_442: name = "parameter_442" + original_name = "batch_norm2d_17.w_2" shape = [512] dtype = "float32" min_val = float("1.49618e-15") @@ -4865,6 +5308,7 @@ class Program_weight_tensor_parameter_442: class Program_weight_tensor_parameter_443: name = "parameter_443" + original_name = "batch_norm2d_17.w_1" shape = [512] dtype = "float32" min_val = float("-0.113495") @@ -4876,6 +5320,7 @@ class Program_weight_tensor_parameter_443: class Program_weight_tensor_parameter_444: name = "parameter_444" + original_name = "conv2d_17.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.426105") @@ -4887,6 +5332,7 @@ class Program_weight_tensor_parameter_444: class Program_weight_tensor_parameter_445: name = "parameter_445" + original_name = "batch_norm2d_16.b_0" shape = [128] dtype = "float32" min_val = float("-0.246357") @@ -4898,6 +5344,7 @@ class Program_weight_tensor_parameter_445: class Program_weight_tensor_parameter_446: name = "parameter_446" + original_name = "batch_norm2d_16.w_0" shape = [128] dtype = "float32" min_val = float("-0.326265") @@ -4909,6 +5356,7 @@ class Program_weight_tensor_parameter_446: class Program_weight_tensor_parameter_447: name = "parameter_447" + original_name = "batch_norm2d_16.w_2" shape = [128] dtype = "float32" min_val = float("5.83535e-16") @@ -4920,6 +5368,7 @@ class Program_weight_tensor_parameter_447: class Program_weight_tensor_parameter_448: name = "parameter_448" + original_name = "batch_norm2d_16.w_1" shape = [128] dtype = "float32" min_val = float("-1.00014") @@ -4931,6 +5380,7 @@ class Program_weight_tensor_parameter_448: class Program_weight_tensor_parameter_449: name = "parameter_449" + original_name = "conv2d_16.w_0" shape = [128, 128, 3, 3] dtype = "float32" min_val = float("-0.272606") @@ -4942,6 +5392,7 @@ class Program_weight_tensor_parameter_449: class Program_weight_tensor_parameter_450: name = "parameter_450" + original_name = "batch_norm2d_15.b_0" shape = [128] dtype = "float32" min_val = float("-0.209578") @@ -4953,6 +5404,7 @@ class Program_weight_tensor_parameter_450: class Program_weight_tensor_parameter_451: name = "parameter_451" + original_name = "batch_norm2d_15.w_0" shape = [128] dtype = "float32" min_val = float("-0.165953") @@ -4964,6 +5416,7 @@ class Program_weight_tensor_parameter_451: class Program_weight_tensor_parameter_452: name = "parameter_452" + original_name = "batch_norm2d_15.w_2" shape = [128] dtype = "float32" min_val = float("2.13682e-15") @@ -4975,6 +5428,7 @@ class Program_weight_tensor_parameter_452: class Program_weight_tensor_parameter_453: name = "parameter_453" + original_name = "batch_norm2d_15.w_1" shape = [128] dtype = "float32" min_val = float("-0.301143") @@ -4986,6 +5440,7 @@ class Program_weight_tensor_parameter_453: class Program_weight_tensor_parameter_454: name = "parameter_454" + original_name = "conv2d_15.w_0" shape = [128, 512, 1, 1] dtype = "float32" min_val = float("-0.191976") @@ -4997,6 +5452,7 @@ class Program_weight_tensor_parameter_454: class Program_weight_tensor_parameter_455: name = "parameter_455" + original_name = "batch_norm2d_14.b_0" shape = [512] dtype = "float32" min_val = float("-0.143981") @@ -5008,6 +5464,7 @@ class Program_weight_tensor_parameter_455: class Program_weight_tensor_parameter_456: name = "parameter_456" + original_name = "batch_norm2d_14.w_0" shape = [512] dtype = "float32" min_val = float("-0.201234") @@ -5019,6 +5476,7 @@ class Program_weight_tensor_parameter_456: class Program_weight_tensor_parameter_457: name = "parameter_457" + original_name = "batch_norm2d_14.w_2" shape = [512] dtype = "float32" min_val = float("6.7546e-16") @@ -5030,6 +5488,7 @@ class Program_weight_tensor_parameter_457: class Program_weight_tensor_parameter_458: name = "parameter_458" + original_name = "batch_norm2d_14.w_1" shape = [512] dtype = "float32" min_val = float("-0.53912") @@ -5041,6 +5500,7 @@ class Program_weight_tensor_parameter_458: class Program_weight_tensor_parameter_459: name = "parameter_459" + original_name = "conv2d_14.w_0" shape = [512, 256, 1, 1] dtype = "float32" min_val = float("-0.541382") @@ -5052,6 +5512,7 @@ class Program_weight_tensor_parameter_459: class Program_weight_tensor_parameter_460: name = "parameter_460" + original_name = "batch_norm2d_13.b_0" shape = [512] dtype = "float32" min_val = float("-0.143981") @@ -5063,6 +5524,7 @@ class Program_weight_tensor_parameter_460: class Program_weight_tensor_parameter_461: name = "parameter_461" + original_name = "batch_norm2d_13.w_0" shape = [512] dtype = "float32" min_val = float("-0.136515") @@ -5074,6 +5536,7 @@ class Program_weight_tensor_parameter_461: class Program_weight_tensor_parameter_462: name = "parameter_462" + original_name = "batch_norm2d_13.w_2" shape = [512] dtype = "float32" min_val = float("3.54976e-16") @@ -5085,6 +5548,7 @@ class Program_weight_tensor_parameter_462: class Program_weight_tensor_parameter_463: name = "parameter_463" + original_name = "batch_norm2d_13.w_1" shape = [512] dtype = "float32" min_val = float("-0.366167") @@ -5096,6 +5560,7 @@ class Program_weight_tensor_parameter_463: class Program_weight_tensor_parameter_464: name = "parameter_464" + original_name = "conv2d_13.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.381495") @@ -5107,6 +5572,7 @@ class Program_weight_tensor_parameter_464: class Program_weight_tensor_parameter_465: name = "parameter_465" + original_name = "batch_norm2d_12.b_0" shape = [128] dtype = "float32" min_val = float("-0.303538") @@ -5118,6 +5584,7 @@ class Program_weight_tensor_parameter_465: class Program_weight_tensor_parameter_466: name = "parameter_466" + original_name = "batch_norm2d_12.w_0" shape = [128] dtype = "float32" min_val = float("-0.253228") @@ -5129,6 +5596,7 @@ class Program_weight_tensor_parameter_466: class Program_weight_tensor_parameter_467: name = "parameter_467" + original_name = "batch_norm2d_12.w_2" shape = [128] dtype = "float32" min_val = float("1.10796e-15") @@ -5140,6 +5608,7 @@ class Program_weight_tensor_parameter_467: class Program_weight_tensor_parameter_468: name = "parameter_468" + original_name = "batch_norm2d_12.w_1" shape = [128] dtype = "float32" min_val = float("-0.195148") @@ -5151,6 +5620,7 @@ class Program_weight_tensor_parameter_468: class Program_weight_tensor_parameter_469: name = "parameter_469" + original_name = "conv2d_12.w_0" shape = [128, 128, 3, 3] dtype = "float32" min_val = float("-0.127722") @@ -5162,6 +5632,7 @@ class Program_weight_tensor_parameter_469: class Program_weight_tensor_parameter_470: name = "parameter_470" + original_name = "batch_norm2d_11.b_0" shape = [128] dtype = "float32" min_val = float("-0.260373") @@ -5173,6 +5644,7 @@ class Program_weight_tensor_parameter_470: class Program_weight_tensor_parameter_471: name = "parameter_471" + original_name = "batch_norm2d_11.w_0" shape = [128] dtype = "float32" min_val = float("-0.224567") @@ -5184,6 +5656,7 @@ class Program_weight_tensor_parameter_471: class Program_weight_tensor_parameter_472: name = "parameter_472" + original_name = "batch_norm2d_11.w_2" shape = [128] dtype = "float32" min_val = float("1.16186e-15") @@ -5195,6 +5668,7 @@ class Program_weight_tensor_parameter_472: class Program_weight_tensor_parameter_473: name = "parameter_473" + original_name = "batch_norm2d_11.w_1" shape = [128] dtype = "float32" min_val = float("-0.355523") @@ -5206,6 +5680,7 @@ class Program_weight_tensor_parameter_473: class Program_weight_tensor_parameter_474: name = "parameter_474" + original_name = "conv2d_11.w_0" shape = [128, 256, 1, 1] dtype = "float32" min_val = float("-0.286497") @@ -5217,6 +5692,7 @@ class Program_weight_tensor_parameter_474: class Program_weight_tensor_parameter_475: name = "parameter_475" + original_name = "batch_norm2d_10.b_0" shape = [256] dtype = "float32" min_val = float("-0.199411") @@ -5228,6 +5704,7 @@ class Program_weight_tensor_parameter_475: class Program_weight_tensor_parameter_476: name = "parameter_476" + original_name = "batch_norm2d_10.w_0" shape = [256] dtype = "float32" min_val = float("-0.300556") @@ -5239,6 +5716,7 @@ class Program_weight_tensor_parameter_476: class Program_weight_tensor_parameter_477: name = "parameter_477" + original_name = "batch_norm2d_10.w_2" shape = [256] dtype = "float32" min_val = float("1.19552e-05") @@ -5250,6 +5728,7 @@ class Program_weight_tensor_parameter_477: class Program_weight_tensor_parameter_478: name = "parameter_478" + original_name = "batch_norm2d_10.w_1" shape = [256] dtype = "float32" min_val = float("-0.127439") @@ -5261,6 +5740,7 @@ class Program_weight_tensor_parameter_478: class Program_weight_tensor_parameter_479: name = "parameter_479" + original_name = "conv2d_10.w_0" shape = [256, 64, 1, 1] dtype = "float32" min_val = float("-0.208252") @@ -5272,6 +5752,7 @@ class Program_weight_tensor_parameter_479: class Program_weight_tensor_parameter_480: name = "parameter_480" + original_name = "batch_norm2d_9.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -5281,6 +5762,7 @@ class Program_weight_tensor_parameter_480: class Program_weight_tensor_parameter_481: name = "parameter_481" + original_name = "batch_norm2d_9.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -5290,6 +5772,7 @@ class Program_weight_tensor_parameter_481: class Program_weight_tensor_parameter_482: name = "parameter_482" + original_name = "batch_norm2d_9.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -5299,6 +5782,7 @@ class Program_weight_tensor_parameter_482: class Program_weight_tensor_parameter_483: name = "parameter_483" + original_name = "batch_norm2d_9.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -5308,6 +5792,7 @@ class Program_weight_tensor_parameter_483: class Program_weight_tensor_parameter_484: name = "parameter_484" + original_name = "conv2d_9.w_0" shape = [64, 64, 3, 3] dtype = "float32" min_val = float("-0.248986") @@ -5319,6 +5804,7 @@ class Program_weight_tensor_parameter_484: class Program_weight_tensor_parameter_485: name = "parameter_485" + original_name = "batch_norm2d_8.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -5328,6 +5814,7 @@ class Program_weight_tensor_parameter_485: class Program_weight_tensor_parameter_486: name = "parameter_486" + original_name = "batch_norm2d_8.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -5337,6 +5824,7 @@ class Program_weight_tensor_parameter_486: class Program_weight_tensor_parameter_487: name = "parameter_487" + original_name = "batch_norm2d_8.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -5346,6 +5834,7 @@ class Program_weight_tensor_parameter_487: class Program_weight_tensor_parameter_488: name = "parameter_488" + original_name = "batch_norm2d_8.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -5355,6 +5844,7 @@ class Program_weight_tensor_parameter_488: class Program_weight_tensor_parameter_489: name = "parameter_489" + original_name = "conv2d_8.w_0" shape = [64, 256, 1, 1] dtype = "float32" min_val = float("-0.185148") @@ -5366,6 +5856,7 @@ class Program_weight_tensor_parameter_489: class Program_weight_tensor_parameter_490: name = "parameter_490" + original_name = "batch_norm2d_7.b_0" shape = [256] dtype = "float32" min_val = float("-0.255247") @@ -5377,6 +5868,7 @@ class Program_weight_tensor_parameter_490: class Program_weight_tensor_parameter_491: name = "parameter_491" + original_name = "batch_norm2d_7.w_0" shape = [256] dtype = "float32" min_val = float("-0.251342") @@ -5388,6 +5880,7 @@ class Program_weight_tensor_parameter_491: class Program_weight_tensor_parameter_492: name = "parameter_492" + original_name = "batch_norm2d_7.w_2" shape = [256] dtype = "float32" min_val = float("2.15888e-10") @@ -5399,6 +5892,7 @@ class Program_weight_tensor_parameter_492: class Program_weight_tensor_parameter_493: name = "parameter_493" + original_name = "batch_norm2d_7.w_1" shape = [256] dtype = "float32" min_val = float("-0.111148") @@ -5410,6 +5904,7 @@ class Program_weight_tensor_parameter_493: class Program_weight_tensor_parameter_494: name = "parameter_494" + original_name = "conv2d_7.w_0" shape = [256, 64, 1, 1] dtype = "float32" min_val = float("-0.245267") @@ -5421,6 +5916,7 @@ class Program_weight_tensor_parameter_494: class Program_weight_tensor_parameter_495: name = "parameter_495" + original_name = "batch_norm2d_6.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -5430,6 +5926,7 @@ class Program_weight_tensor_parameter_495: class Program_weight_tensor_parameter_496: name = "parameter_496" + original_name = "batch_norm2d_6.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -5439,6 +5936,7 @@ class Program_weight_tensor_parameter_496: class Program_weight_tensor_parameter_497: name = "parameter_497" + original_name = "batch_norm2d_6.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -5448,6 +5946,7 @@ class Program_weight_tensor_parameter_497: class Program_weight_tensor_parameter_498: name = "parameter_498" + original_name = "batch_norm2d_6.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -5457,6 +5956,7 @@ class Program_weight_tensor_parameter_498: class Program_weight_tensor_parameter_499: name = "parameter_499" + original_name = "conv2d_6.w_0" shape = [64, 64, 3, 3] dtype = "float32" min_val = float("-0.341815") @@ -5468,6 +5968,7 @@ class Program_weight_tensor_parameter_499: class Program_weight_tensor_parameter_500: name = "parameter_500" + original_name = "batch_norm2d_5.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -5477,6 +5978,7 @@ class Program_weight_tensor_parameter_500: class Program_weight_tensor_parameter_501: name = "parameter_501" + original_name = "batch_norm2d_5.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -5486,6 +5988,7 @@ class Program_weight_tensor_parameter_501: class Program_weight_tensor_parameter_502: name = "parameter_502" + original_name = "batch_norm2d_5.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -5495,6 +5998,7 @@ class Program_weight_tensor_parameter_502: class Program_weight_tensor_parameter_503: name = "parameter_503" + original_name = "batch_norm2d_5.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -5504,6 +6008,7 @@ class Program_weight_tensor_parameter_503: class Program_weight_tensor_parameter_504: name = "parameter_504" + original_name = "conv2d_5.w_0" shape = [64, 256, 1, 1] dtype = "float32" min_val = float("-0.259632") @@ -5515,6 +6020,7 @@ class Program_weight_tensor_parameter_504: class Program_weight_tensor_parameter_505: name = "parameter_505" + original_name = "batch_norm2d_4.b_0" shape = [256] dtype = "float32" min_val = float("-0.174671") @@ -5526,6 +6032,7 @@ class Program_weight_tensor_parameter_505: class Program_weight_tensor_parameter_506: name = "parameter_506" + original_name = "batch_norm2d_4.w_0" shape = [256] dtype = "float32" min_val = float("-0.228103") @@ -5537,6 +6044,7 @@ class Program_weight_tensor_parameter_506: class Program_weight_tensor_parameter_507: name = "parameter_507" + original_name = "batch_norm2d_4.w_2" shape = [256] dtype = "float32" min_val = float("4.99401e-15") @@ -5548,6 +6056,7 @@ class Program_weight_tensor_parameter_507: class Program_weight_tensor_parameter_508: name = "parameter_508" + original_name = "batch_norm2d_4.w_1" shape = [256] dtype = "float32" min_val = float("-1.44709") @@ -5559,6 +6068,7 @@ class Program_weight_tensor_parameter_508: class Program_weight_tensor_parameter_509: name = "parameter_509" + original_name = "conv2d_4.w_0" shape = [256, 64, 1, 1] dtype = "float32" min_val = float("-0.717678") @@ -5570,6 +6080,7 @@ class Program_weight_tensor_parameter_509: class Program_weight_tensor_parameter_510: name = "parameter_510" + original_name = "batch_norm2d_3.b_0" shape = [256] dtype = "float32" min_val = float("-0.174671") @@ -5581,6 +6092,7 @@ class Program_weight_tensor_parameter_510: class Program_weight_tensor_parameter_511: name = "parameter_511" + original_name = "batch_norm2d_3.w_0" shape = [256] dtype = "float32" min_val = float("-0.425525") @@ -5592,6 +6104,7 @@ class Program_weight_tensor_parameter_511: class Program_weight_tensor_parameter_512: name = "parameter_512" + original_name = "batch_norm2d_3.w_2" shape = [256] dtype = "float32" min_val = float("7.51893e-17") @@ -5603,6 +6116,7 @@ class Program_weight_tensor_parameter_512: class Program_weight_tensor_parameter_513: name = "parameter_513" + original_name = "batch_norm2d_3.w_1" shape = [256] dtype = "float32" min_val = float("-0.222182") @@ -5614,6 +6128,7 @@ class Program_weight_tensor_parameter_513: class Program_weight_tensor_parameter_514: name = "parameter_514" + original_name = "conv2d_3.w_0" shape = [256, 64, 1, 1] dtype = "float32" min_val = float("-0.325964") @@ -5625,6 +6140,7 @@ class Program_weight_tensor_parameter_514: class Program_weight_tensor_parameter_515: name = "parameter_515" + original_name = "batch_norm2d_2.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -5634,6 +6150,7 @@ class Program_weight_tensor_parameter_515: class Program_weight_tensor_parameter_516: name = "parameter_516" + original_name = "batch_norm2d_2.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -5643,6 +6160,7 @@ class Program_weight_tensor_parameter_516: class Program_weight_tensor_parameter_517: name = "parameter_517" + original_name = "batch_norm2d_2.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -5652,6 +6170,7 @@ class Program_weight_tensor_parameter_517: class Program_weight_tensor_parameter_518: name = "parameter_518" + original_name = "batch_norm2d_2.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -5661,6 +6180,7 @@ class Program_weight_tensor_parameter_518: class Program_weight_tensor_parameter_519: name = "parameter_519" + original_name = "conv2d_2.w_0" shape = [64, 64, 3, 3] dtype = "float32" min_val = float("-0.32494") @@ -5672,6 +6192,7 @@ class Program_weight_tensor_parameter_519: class Program_weight_tensor_parameter_520: name = "parameter_520" + original_name = "batch_norm2d_1.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -5681,6 +6202,7 @@ class Program_weight_tensor_parameter_520: class Program_weight_tensor_parameter_521: name = "parameter_521" + original_name = "batch_norm2d_1.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -5690,6 +6212,7 @@ class Program_weight_tensor_parameter_521: class Program_weight_tensor_parameter_522: name = "parameter_522" + original_name = "batch_norm2d_1.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -5699,6 +6222,7 @@ class Program_weight_tensor_parameter_522: class Program_weight_tensor_parameter_523: name = "parameter_523" + original_name = "batch_norm2d_1.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -5708,6 +6232,7 @@ class Program_weight_tensor_parameter_523: class Program_weight_tensor_parameter_524: name = "parameter_524" + original_name = "conv2d_1.w_0" shape = [64, 64, 1, 1] dtype = "float32" min_val = float("-0.639838") @@ -5719,6 +6244,7 @@ class Program_weight_tensor_parameter_524: class Program_weight_tensor_parameter_525: name = "parameter_525" + original_name = "batch_norm2d_0.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -5728,6 +6254,7 @@ class Program_weight_tensor_parameter_525: class Program_weight_tensor_parameter_526: name = "parameter_526" + original_name = "batch_norm2d_0.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -5737,6 +6264,7 @@ class Program_weight_tensor_parameter_526: class Program_weight_tensor_parameter_527: name = "parameter_527" + original_name = "batch_norm2d_0.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -5746,6 +6274,7 @@ class Program_weight_tensor_parameter_527: class Program_weight_tensor_parameter_528: name = "parameter_528" + original_name = "batch_norm2d_0.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -5755,6 +6284,7 @@ class Program_weight_tensor_parameter_528: class Program_weight_tensor_parameter_529: name = "parameter_529" + original_name = "conv2d_0.w_0" shape = [64, 3, 7, 7] dtype = "float32" min_val = float("-0.680452") diff --git a/paddle_samples/PaddleX/FasterRCNN-ResNet50/subgraph_21/input_meta.py b/paddle_samples/PaddleX/FasterRCNN-ResNet50/subgraph_21/input_meta.py index cf57b0adb..399b3abe0 100644 --- a/paddle_samples/PaddleX/FasterRCNN-ResNet50/subgraph_21/input_meta.py +++ b/paddle_samples/PaddleX/FasterRCNN-ResNet50/subgraph_21/input_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_data_0: name = "data_0" + original_name = "var_4506" shape = [1, 3, 800, 1322] dtype = "float32" min_val = float("-2.1179") @@ -11,6 +12,7 @@ class Program_weight_tensor_data_0: class Program_weight_tensor_data_1: name = "data_1" + original_name = "var_4507" shape = [1, 2] dtype = "float32" data = [800.0, 1322.0] @@ -18,6 +20,7 @@ class Program_weight_tensor_data_1: class Program_weight_tensor_data_2: name = "data_2" + original_name = "var_4659" shape = [15, 4] dtype = "float32" data = [ diff --git a/paddle_samples/PaddleX/FasterRCNN-ResNet50/subgraph_21/weight_meta.py b/paddle_samples/PaddleX/FasterRCNN-ResNet50/subgraph_21/weight_meta.py index efb362d01..79666822d 100644 --- a/paddle_samples/PaddleX/FasterRCNN-ResNet50/subgraph_21/weight_meta.py +++ b/paddle_samples/PaddleX/FasterRCNN-ResNet50/subgraph_21/weight_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_parameter_0: name = "parameter_0" + original_name = "linear_1.b_0" shape = [16] dtype = "float32" min_val = float("0") @@ -9,6 +10,7 @@ class Program_weight_tensor_parameter_0: class Program_weight_tensor_parameter_1: name = "parameter_1" + original_name = "linear_1.w_0" shape = [2048, 16] dtype = "float32" min_val = float("-0.0152186") @@ -20,6 +22,7 @@ class Program_weight_tensor_parameter_1: class Program_weight_tensor_parameter_2: name = "parameter_2" + original_name = "linear_0.b_0" shape = [5] dtype = "float32" min_val = float("0") @@ -29,6 +32,7 @@ class Program_weight_tensor_parameter_2: class Program_weight_tensor_parameter_3: name = "parameter_3" + original_name = "linear_0.w_0" shape = [2048, 5] dtype = "float32" min_val = float("-0.0458831") @@ -40,6 +44,7 @@ class Program_weight_tensor_parameter_3: class Program_weight_tensor_parameter_4: name = "parameter_4" + original_name = "batch_norm2d_52.b_0" shape = [2048] dtype = "float32" min_val = float("-0.0152037") @@ -51,6 +56,7 @@ class Program_weight_tensor_parameter_4: class Program_weight_tensor_parameter_5: name = "parameter_5" + original_name = "batch_norm2d_52.w_0" shape = [2048] dtype = "float32" min_val = float("0.0697471") @@ -62,6 +68,7 @@ class Program_weight_tensor_parameter_5: class Program_weight_tensor_parameter_6: name = "parameter_6" + original_name = "batch_norm2d_52.w_2" shape = [2048] dtype = "float32" min_val = float("1.81695e-05") @@ -73,6 +80,7 @@ class Program_weight_tensor_parameter_6: class Program_weight_tensor_parameter_7: name = "parameter_7" + original_name = "batch_norm2d_52.w_1" shape = [2048] dtype = "float32" min_val = float("-0.0612085") @@ -84,6 +92,7 @@ class Program_weight_tensor_parameter_7: class Program_weight_tensor_parameter_8: name = "parameter_8" + original_name = "conv2d_55.w_0" shape = [2048, 512, 1, 1] dtype = "float32" min_val = float("-0.375763") @@ -95,6 +104,7 @@ class Program_weight_tensor_parameter_8: class Program_weight_tensor_parameter_9: name = "parameter_9" + original_name = "batch_norm2d_51.b_0" shape = [512] dtype = "float32" min_val = float("-0.256723") @@ -106,6 +116,7 @@ class Program_weight_tensor_parameter_9: class Program_weight_tensor_parameter_10: name = "parameter_10" + original_name = "batch_norm2d_51.w_0" shape = [512] dtype = "float32" min_val = float("0.14275") @@ -117,6 +128,7 @@ class Program_weight_tensor_parameter_10: class Program_weight_tensor_parameter_11: name = "parameter_11" + original_name = "batch_norm2d_51.w_2" shape = [512] dtype = "float32" min_val = float("0.00782721") @@ -128,6 +140,7 @@ class Program_weight_tensor_parameter_11: class Program_weight_tensor_parameter_12: name = "parameter_12" + original_name = "batch_norm2d_51.w_1" shape = [512] dtype = "float32" min_val = float("-0.21336") @@ -139,6 +152,7 @@ class Program_weight_tensor_parameter_12: class Program_weight_tensor_parameter_13: name = "parameter_13" + original_name = "conv2d_54.w_0" shape = [512, 512, 3, 3] dtype = "float32" min_val = float("-0.241829") @@ -150,6 +164,7 @@ class Program_weight_tensor_parameter_13: class Program_weight_tensor_parameter_14: name = "parameter_14" + original_name = "batch_norm2d_50.b_0" shape = [512] dtype = "float32" min_val = float("-0.374154") @@ -161,6 +176,7 @@ class Program_weight_tensor_parameter_14: class Program_weight_tensor_parameter_15: name = "parameter_15" + original_name = "batch_norm2d_50.w_0" shape = [512] dtype = "float32" min_val = float("0.112266") @@ -172,6 +188,7 @@ class Program_weight_tensor_parameter_15: class Program_weight_tensor_parameter_16: name = "parameter_16" + original_name = "batch_norm2d_50.w_2" shape = [512] dtype = "float32" min_val = float("0.00368882") @@ -183,6 +200,7 @@ class Program_weight_tensor_parameter_16: class Program_weight_tensor_parameter_17: name = "parameter_17" + original_name = "batch_norm2d_50.w_1" shape = [512] dtype = "float32" min_val = float("-0.165498") @@ -194,6 +212,7 @@ class Program_weight_tensor_parameter_17: class Program_weight_tensor_parameter_18: name = "parameter_18" + original_name = "conv2d_53.w_0" shape = [512, 2048, 1, 1] dtype = "float32" min_val = float("-0.254277") @@ -205,6 +224,7 @@ class Program_weight_tensor_parameter_18: class Program_weight_tensor_parameter_19: name = "parameter_19" + original_name = "batch_norm2d_49.b_0" shape = [2048] dtype = "float32" min_val = float("-0.344745") @@ -216,6 +236,7 @@ class Program_weight_tensor_parameter_19: class Program_weight_tensor_parameter_20: name = "parameter_20" + original_name = "batch_norm2d_49.w_0" shape = [2048] dtype = "float32" min_val = float("-0.055626") @@ -227,6 +248,7 @@ class Program_weight_tensor_parameter_20: class Program_weight_tensor_parameter_21: name = "parameter_21" + original_name = "batch_norm2d_49.w_2" shape = [2048] dtype = "float32" min_val = float("0.000374241") @@ -238,6 +260,7 @@ class Program_weight_tensor_parameter_21: class Program_weight_tensor_parameter_22: name = "parameter_22" + original_name = "batch_norm2d_49.w_1" shape = [2048] dtype = "float32" min_val = float("-0.143817") @@ -249,6 +272,7 @@ class Program_weight_tensor_parameter_22: class Program_weight_tensor_parameter_23: name = "parameter_23" + original_name = "conv2d_52.w_0" shape = [2048, 512, 1, 1] dtype = "float32" min_val = float("-0.27623") @@ -260,6 +284,7 @@ class Program_weight_tensor_parameter_23: class Program_weight_tensor_parameter_24: name = "parameter_24" + original_name = "batch_norm2d_48.b_0" shape = [512] dtype = "float32" min_val = float("-0.281581") @@ -271,6 +296,7 @@ class Program_weight_tensor_parameter_24: class Program_weight_tensor_parameter_25: name = "parameter_25" + original_name = "batch_norm2d_48.w_0" shape = [512] dtype = "float32" min_val = float("0.103043") @@ -282,6 +308,7 @@ class Program_weight_tensor_parameter_25: class Program_weight_tensor_parameter_26: name = "parameter_26" + original_name = "batch_norm2d_48.w_2" shape = [512] dtype = "float32" min_val = float("0.00667349") @@ -293,6 +320,7 @@ class Program_weight_tensor_parameter_26: class Program_weight_tensor_parameter_27: name = "parameter_27" + original_name = "batch_norm2d_48.w_1" shape = [512] dtype = "float32" min_val = float("-0.333379") @@ -304,6 +332,7 @@ class Program_weight_tensor_parameter_27: class Program_weight_tensor_parameter_28: name = "parameter_28" + original_name = "conv2d_51.w_0" shape = [512, 512, 3, 3] dtype = "float32" min_val = float("-0.206161") @@ -315,6 +344,7 @@ class Program_weight_tensor_parameter_28: class Program_weight_tensor_parameter_29: name = "parameter_29" + original_name = "batch_norm2d_47.b_0" shape = [512] dtype = "float32" min_val = float("-0.204726") @@ -326,6 +356,7 @@ class Program_weight_tensor_parameter_29: class Program_weight_tensor_parameter_30: name = "parameter_30" + original_name = "batch_norm2d_47.w_0" shape = [512] dtype = "float32" min_val = float("0.11019") @@ -337,6 +368,7 @@ class Program_weight_tensor_parameter_30: class Program_weight_tensor_parameter_31: name = "parameter_31" + original_name = "batch_norm2d_47.w_2" shape = [512] dtype = "float32" min_val = float("0.0038453") @@ -348,6 +380,7 @@ class Program_weight_tensor_parameter_31: class Program_weight_tensor_parameter_32: name = "parameter_32" + original_name = "batch_norm2d_47.w_1" shape = [512] dtype = "float32" min_val = float("-0.156876") @@ -359,6 +392,7 @@ class Program_weight_tensor_parameter_32: class Program_weight_tensor_parameter_33: name = "parameter_33" + original_name = "conv2d_50.w_0" shape = [512, 2048, 1, 1] dtype = "float32" min_val = float("-0.14362") @@ -370,6 +404,7 @@ class Program_weight_tensor_parameter_33: class Program_weight_tensor_parameter_34: name = "parameter_34" + original_name = "batch_norm2d_46.b_0" shape = [2048] dtype = "float32" min_val = float("-0.175901") @@ -381,6 +416,7 @@ class Program_weight_tensor_parameter_34: class Program_weight_tensor_parameter_35: name = "parameter_35" + original_name = "batch_norm2d_46.w_0" shape = [2048] dtype = "float32" min_val = float("0.0445343") @@ -392,6 +428,7 @@ class Program_weight_tensor_parameter_35: class Program_weight_tensor_parameter_36: name = "parameter_36" + original_name = "batch_norm2d_46.w_2" shape = [2048] dtype = "float32" min_val = float("0.00110278") @@ -403,6 +440,7 @@ class Program_weight_tensor_parameter_36: class Program_weight_tensor_parameter_37: name = "parameter_37" + original_name = "batch_norm2d_46.w_1" shape = [2048] dtype = "float32" min_val = float("-0.14942") @@ -414,6 +452,7 @@ class Program_weight_tensor_parameter_37: class Program_weight_tensor_parameter_38: name = "parameter_38" + original_name = "conv2d_49.w_0" shape = [2048, 1024, 1, 1] dtype = "float32" min_val = float("-0.159272") @@ -425,6 +464,7 @@ class Program_weight_tensor_parameter_38: class Program_weight_tensor_parameter_39: name = "parameter_39" + original_name = "batch_norm2d_45.b_0" shape = [2048] dtype = "float32" min_val = float("-0.175901") @@ -436,6 +476,7 @@ class Program_weight_tensor_parameter_39: class Program_weight_tensor_parameter_40: name = "parameter_40" + original_name = "batch_norm2d_45.w_0" shape = [2048] dtype = "float32" min_val = float("-0.0299724") @@ -447,6 +488,7 @@ class Program_weight_tensor_parameter_40: class Program_weight_tensor_parameter_41: name = "parameter_41" + original_name = "batch_norm2d_45.w_2" shape = [2048] dtype = "float32" min_val = float("0.000317003") @@ -458,6 +500,7 @@ class Program_weight_tensor_parameter_41: class Program_weight_tensor_parameter_42: name = "parameter_42" + original_name = "batch_norm2d_45.w_1" shape = [2048] dtype = "float32" min_val = float("-0.119379") @@ -469,6 +512,7 @@ class Program_weight_tensor_parameter_42: class Program_weight_tensor_parameter_43: name = "parameter_43" + original_name = "conv2d_48.w_0" shape = [2048, 512, 1, 1] dtype = "float32" min_val = float("-0.225899") @@ -480,6 +524,7 @@ class Program_weight_tensor_parameter_43: class Program_weight_tensor_parameter_44: name = "parameter_44" + original_name = "batch_norm2d_44.b_0" shape = [512] dtype = "float32" min_val = float("-0.16638") @@ -491,6 +536,7 @@ class Program_weight_tensor_parameter_44: class Program_weight_tensor_parameter_45: name = "parameter_45" + original_name = "batch_norm2d_44.w_0" shape = [512] dtype = "float32" min_val = float("0.122151") @@ -502,6 +548,7 @@ class Program_weight_tensor_parameter_45: class Program_weight_tensor_parameter_46: name = "parameter_46" + original_name = "batch_norm2d_44.w_2" shape = [512] dtype = "float32" min_val = float("0.00556548") @@ -513,6 +560,7 @@ class Program_weight_tensor_parameter_46: class Program_weight_tensor_parameter_47: name = "parameter_47" + original_name = "batch_norm2d_44.w_1" shape = [512] dtype = "float32" min_val = float("-0.114167") @@ -524,6 +572,7 @@ class Program_weight_tensor_parameter_47: class Program_weight_tensor_parameter_48: name = "parameter_48" + original_name = "conv2d_47.w_0" shape = [512, 512, 3, 3] dtype = "float32" min_val = float("-0.273942") @@ -535,6 +584,7 @@ class Program_weight_tensor_parameter_48: class Program_weight_tensor_parameter_49: name = "parameter_49" + original_name = "batch_norm2d_43.b_0" shape = [512] dtype = "float32" min_val = float("-0.323791") @@ -546,6 +596,7 @@ class Program_weight_tensor_parameter_49: class Program_weight_tensor_parameter_50: name = "parameter_50" + original_name = "batch_norm2d_43.w_0" shape = [512] dtype = "float32" min_val = float("0.103624") @@ -557,6 +608,7 @@ class Program_weight_tensor_parameter_50: class Program_weight_tensor_parameter_51: name = "parameter_51" + original_name = "batch_norm2d_43.w_2" shape = [512] dtype = "float32" min_val = float("0.00626364") @@ -568,6 +620,7 @@ class Program_weight_tensor_parameter_51: class Program_weight_tensor_parameter_52: name = "parameter_52" + original_name = "batch_norm2d_43.w_1" shape = [512] dtype = "float32" min_val = float("-0.154384") @@ -579,6 +632,7 @@ class Program_weight_tensor_parameter_52: class Program_weight_tensor_parameter_53: name = "parameter_53" + original_name = "conv2d_46.w_0" shape = [512, 1024, 1, 1] dtype = "float32" min_val = float("-0.21217") @@ -590,6 +644,7 @@ class Program_weight_tensor_parameter_53: class Program_weight_tensor_parameter_54: name = "parameter_54" + original_name = "conv2d_45.b_0" shape = [60] dtype = "float32" min_val = float("0") @@ -599,6 +654,7 @@ class Program_weight_tensor_parameter_54: class Program_weight_tensor_parameter_55: name = "parameter_55" + original_name = "conv2d_45.w_0" shape = [60, 1024, 1, 1] dtype = "float32" min_val = float("-0.166029") @@ -610,6 +666,7 @@ class Program_weight_tensor_parameter_55: class Program_weight_tensor_parameter_56: name = "parameter_56" + original_name = "conv2d_44.b_0" shape = [15] dtype = "float32" min_val = float("0") @@ -619,6 +676,7 @@ class Program_weight_tensor_parameter_56: class Program_weight_tensor_parameter_57: name = "parameter_57" + original_name = "conv2d_44.w_0" shape = [15, 1024, 1, 1] dtype = "float32" min_val = float("-0.34709") @@ -630,6 +688,7 @@ class Program_weight_tensor_parameter_57: class Program_weight_tensor_parameter_58: name = "parameter_58" + original_name = "conv2d_43.b_0" shape = [1024] dtype = "float32" min_val = float("-0.0238398") @@ -641,6 +700,7 @@ class Program_weight_tensor_parameter_58: class Program_weight_tensor_parameter_59: name = "parameter_59" + original_name = "conv2d_43.w_0" shape = [1024, 1024, 3, 3] dtype = "float32" min_val = float("-0.065505") @@ -652,6 +712,7 @@ class Program_weight_tensor_parameter_59: class Program_weight_tensor_parameter_60: name = "parameter_60" + original_name = "batch_norm2d_42.b_0" shape = [1024] dtype = "float32" min_val = float("-0.351039") @@ -663,6 +724,7 @@ class Program_weight_tensor_parameter_60: class Program_weight_tensor_parameter_61: name = "parameter_61" + original_name = "batch_norm2d_42.w_0" shape = [1024] dtype = "float32" min_val = float("-0.07047") @@ -674,6 +736,7 @@ class Program_weight_tensor_parameter_61: class Program_weight_tensor_parameter_62: name = "parameter_62" + original_name = "batch_norm2d_42.w_2" shape = [1024] dtype = "float32" min_val = float("7.26301e-05") @@ -685,6 +748,7 @@ class Program_weight_tensor_parameter_62: class Program_weight_tensor_parameter_63: name = "parameter_63" + original_name = "batch_norm2d_42.w_1" shape = [1024] dtype = "float32" min_val = float("-0.144298") @@ -696,6 +760,7 @@ class Program_weight_tensor_parameter_63: class Program_weight_tensor_parameter_64: name = "parameter_64" + original_name = "conv2d_42.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.281403") @@ -707,6 +772,7 @@ class Program_weight_tensor_parameter_64: class Program_weight_tensor_parameter_65: name = "parameter_65" + original_name = "batch_norm2d_41.b_0" shape = [256] dtype = "float32" min_val = float("-0.21126") @@ -718,6 +784,7 @@ class Program_weight_tensor_parameter_65: class Program_weight_tensor_parameter_66: name = "parameter_66" + original_name = "batch_norm2d_41.w_0" shape = [256] dtype = "float32" min_val = float("0.117769") @@ -729,6 +796,7 @@ class Program_weight_tensor_parameter_66: class Program_weight_tensor_parameter_67: name = "parameter_67" + original_name = "batch_norm2d_41.w_2" shape = [256] dtype = "float32" min_val = float("0.00341764") @@ -740,6 +808,7 @@ class Program_weight_tensor_parameter_67: class Program_weight_tensor_parameter_68: name = "parameter_68" + original_name = "batch_norm2d_41.w_1" shape = [256] dtype = "float32" min_val = float("-0.170117") @@ -751,6 +820,7 @@ class Program_weight_tensor_parameter_68: class Program_weight_tensor_parameter_69: name = "parameter_69" + original_name = "conv2d_41.w_0" shape = [256, 256, 3, 3] dtype = "float32" min_val = float("-0.226498") @@ -762,6 +832,7 @@ class Program_weight_tensor_parameter_69: class Program_weight_tensor_parameter_70: name = "parameter_70" + original_name = "batch_norm2d_40.b_0" shape = [256] dtype = "float32" min_val = float("-0.311823") @@ -773,6 +844,7 @@ class Program_weight_tensor_parameter_70: class Program_weight_tensor_parameter_71: name = "parameter_71" + original_name = "batch_norm2d_40.w_0" shape = [256] dtype = "float32" min_val = float("0.0999985") @@ -784,6 +856,7 @@ class Program_weight_tensor_parameter_71: class Program_weight_tensor_parameter_72: name = "parameter_72" + original_name = "batch_norm2d_40.w_2" shape = [256] dtype = "float32" min_val = float("0.00541504") @@ -795,6 +868,7 @@ class Program_weight_tensor_parameter_72: class Program_weight_tensor_parameter_73: name = "parameter_73" + original_name = "batch_norm2d_40.w_1" shape = [256] dtype = "float32" min_val = float("-0.217816") @@ -806,6 +880,7 @@ class Program_weight_tensor_parameter_73: class Program_weight_tensor_parameter_74: name = "parameter_74" + original_name = "conv2d_40.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.21339") @@ -817,6 +892,7 @@ class Program_weight_tensor_parameter_74: class Program_weight_tensor_parameter_75: name = "parameter_75" + original_name = "batch_norm2d_39.b_0" shape = [1024] dtype = "float32" min_val = float("-0.257537") @@ -828,6 +904,7 @@ class Program_weight_tensor_parameter_75: class Program_weight_tensor_parameter_76: name = "parameter_76" + original_name = "batch_norm2d_39.w_0" shape = [1024] dtype = "float32" min_val = float("-0.0934878") @@ -839,6 +916,7 @@ class Program_weight_tensor_parameter_76: class Program_weight_tensor_parameter_77: name = "parameter_77" + original_name = "batch_norm2d_39.w_2" shape = [1024] dtype = "float32" min_val = float("3.37513e-05") @@ -850,6 +928,7 @@ class Program_weight_tensor_parameter_77: class Program_weight_tensor_parameter_78: name = "parameter_78" + original_name = "batch_norm2d_39.w_1" shape = [1024] dtype = "float32" min_val = float("-0.0803989") @@ -861,6 +940,7 @@ class Program_weight_tensor_parameter_78: class Program_weight_tensor_parameter_79: name = "parameter_79" + original_name = "conv2d_39.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.264235") @@ -872,6 +952,7 @@ class Program_weight_tensor_parameter_79: class Program_weight_tensor_parameter_80: name = "parameter_80" + original_name = "batch_norm2d_38.b_0" shape = [256] dtype = "float32" min_val = float("-0.230815") @@ -883,6 +964,7 @@ class Program_weight_tensor_parameter_80: class Program_weight_tensor_parameter_81: name = "parameter_81" + original_name = "batch_norm2d_38.w_0" shape = [256] dtype = "float32" min_val = float("0.0986752") @@ -894,6 +976,7 @@ class Program_weight_tensor_parameter_81: class Program_weight_tensor_parameter_82: name = "parameter_82" + original_name = "batch_norm2d_38.w_2" shape = [256] dtype = "float32" min_val = float("0.00330181") @@ -905,6 +988,7 @@ class Program_weight_tensor_parameter_82: class Program_weight_tensor_parameter_83: name = "parameter_83" + original_name = "batch_norm2d_38.w_1" shape = [256] dtype = "float32" min_val = float("-0.162266") @@ -916,6 +1000,7 @@ class Program_weight_tensor_parameter_83: class Program_weight_tensor_parameter_84: name = "parameter_84" + original_name = "conv2d_38.w_0" shape = [256, 256, 3, 3] dtype = "float32" min_val = float("-0.276541") @@ -927,6 +1012,7 @@ class Program_weight_tensor_parameter_84: class Program_weight_tensor_parameter_85: name = "parameter_85" + original_name = "batch_norm2d_37.b_0" shape = [256] dtype = "float32" min_val = float("-0.308882") @@ -938,6 +1024,7 @@ class Program_weight_tensor_parameter_85: class Program_weight_tensor_parameter_86: name = "parameter_86" + original_name = "batch_norm2d_37.w_0" shape = [256] dtype = "float32" min_val = float("0.0917825") @@ -949,6 +1036,7 @@ class Program_weight_tensor_parameter_86: class Program_weight_tensor_parameter_87: name = "parameter_87" + original_name = "batch_norm2d_37.w_2" shape = [256] dtype = "float32" min_val = float("0.00507757") @@ -960,6 +1048,7 @@ class Program_weight_tensor_parameter_87: class Program_weight_tensor_parameter_88: name = "parameter_88" + original_name = "batch_norm2d_37.w_1" shape = [256] dtype = "float32" min_val = float("-0.253439") @@ -971,6 +1060,7 @@ class Program_weight_tensor_parameter_88: class Program_weight_tensor_parameter_89: name = "parameter_89" + original_name = "conv2d_37.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.290619") @@ -982,6 +1072,7 @@ class Program_weight_tensor_parameter_89: class Program_weight_tensor_parameter_90: name = "parameter_90" + original_name = "batch_norm2d_36.b_0" shape = [1024] dtype = "float32" min_val = float("-0.277526") @@ -993,6 +1084,7 @@ class Program_weight_tensor_parameter_90: class Program_weight_tensor_parameter_91: name = "parameter_91" + original_name = "batch_norm2d_36.w_0" shape = [1024] dtype = "float32" min_val = float("-0.0669554") @@ -1004,6 +1096,7 @@ class Program_weight_tensor_parameter_91: class Program_weight_tensor_parameter_92: name = "parameter_92" + original_name = "batch_norm2d_36.w_2" shape = [1024] dtype = "float32" min_val = float("3.75323e-05") @@ -1015,6 +1108,7 @@ class Program_weight_tensor_parameter_92: class Program_weight_tensor_parameter_93: name = "parameter_93" + original_name = "batch_norm2d_36.w_1" shape = [1024] dtype = "float32" min_val = float("-0.0983159") @@ -1026,6 +1120,7 @@ class Program_weight_tensor_parameter_93: class Program_weight_tensor_parameter_94: name = "parameter_94" + original_name = "conv2d_36.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.221032") @@ -1037,6 +1132,7 @@ class Program_weight_tensor_parameter_94: class Program_weight_tensor_parameter_95: name = "parameter_95" + original_name = "batch_norm2d_35.b_0" shape = [256] dtype = "float32" min_val = float("-0.296914") @@ -1048,6 +1144,7 @@ class Program_weight_tensor_parameter_95: class Program_weight_tensor_parameter_96: name = "parameter_96" + original_name = "batch_norm2d_35.w_0" shape = [256] dtype = "float32" min_val = float("0.10747") @@ -1059,6 +1156,7 @@ class Program_weight_tensor_parameter_96: class Program_weight_tensor_parameter_97: name = "parameter_97" + original_name = "batch_norm2d_35.w_2" shape = [256] dtype = "float32" min_val = float("0.00385775") @@ -1070,6 +1168,7 @@ class Program_weight_tensor_parameter_97: class Program_weight_tensor_parameter_98: name = "parameter_98" + original_name = "batch_norm2d_35.w_1" shape = [256] dtype = "float32" min_val = float("-0.169559") @@ -1081,6 +1180,7 @@ class Program_weight_tensor_parameter_98: class Program_weight_tensor_parameter_99: name = "parameter_99" + original_name = "conv2d_35.w_0" shape = [256, 256, 3, 3] dtype = "float32" min_val = float("-0.169058") @@ -1092,6 +1192,7 @@ class Program_weight_tensor_parameter_99: class Program_weight_tensor_parameter_100: name = "parameter_100" + original_name = "batch_norm2d_34.b_0" shape = [256] dtype = "float32" min_val = float("-0.213419") @@ -1103,6 +1204,7 @@ class Program_weight_tensor_parameter_100: class Program_weight_tensor_parameter_101: name = "parameter_101" + original_name = "batch_norm2d_34.w_0" shape = [256] dtype = "float32" min_val = float("0.0886459") @@ -1114,6 +1216,7 @@ class Program_weight_tensor_parameter_101: class Program_weight_tensor_parameter_102: name = "parameter_102" + original_name = "batch_norm2d_34.w_2" shape = [256] dtype = "float32" min_val = float("0.00513009") @@ -1125,6 +1228,7 @@ class Program_weight_tensor_parameter_102: class Program_weight_tensor_parameter_103: name = "parameter_103" + original_name = "batch_norm2d_34.w_1" shape = [256] dtype = "float32" min_val = float("-0.186176") @@ -1136,6 +1240,7 @@ class Program_weight_tensor_parameter_103: class Program_weight_tensor_parameter_104: name = "parameter_104" + original_name = "conv2d_34.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.185408") @@ -1147,6 +1252,7 @@ class Program_weight_tensor_parameter_104: class Program_weight_tensor_parameter_105: name = "parameter_105" + original_name = "batch_norm2d_33.b_0" shape = [1024] dtype = "float32" min_val = float("-0.250614") @@ -1158,6 +1264,7 @@ class Program_weight_tensor_parameter_105: class Program_weight_tensor_parameter_106: name = "parameter_106" + original_name = "batch_norm2d_33.w_0" shape = [1024] dtype = "float32" min_val = float("-0.0906886") @@ -1169,6 +1276,7 @@ class Program_weight_tensor_parameter_106: class Program_weight_tensor_parameter_107: name = "parameter_107" + original_name = "batch_norm2d_33.w_2" shape = [1024] dtype = "float32" min_val = float("5.60519e-45") @@ -1180,6 +1288,7 @@ class Program_weight_tensor_parameter_107: class Program_weight_tensor_parameter_108: name = "parameter_108" + original_name = "batch_norm2d_33.w_1" shape = [1024] dtype = "float32" min_val = float("-0.167302") @@ -1191,6 +1300,7 @@ class Program_weight_tensor_parameter_108: class Program_weight_tensor_parameter_109: name = "parameter_109" + original_name = "conv2d_33.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.289658") @@ -1202,6 +1312,7 @@ class Program_weight_tensor_parameter_109: class Program_weight_tensor_parameter_110: name = "parameter_110" + original_name = "batch_norm2d_32.b_0" shape = [256] dtype = "float32" min_val = float("-0.352177") @@ -1213,6 +1324,7 @@ class Program_weight_tensor_parameter_110: class Program_weight_tensor_parameter_111: name = "parameter_111" + original_name = "batch_norm2d_32.w_0" shape = [256] dtype = "float32" min_val = float("0.109797") @@ -1224,6 +1336,7 @@ class Program_weight_tensor_parameter_111: class Program_weight_tensor_parameter_112: name = "parameter_112" + original_name = "batch_norm2d_32.w_2" shape = [256] dtype = "float32" min_val = float("0.00447485") @@ -1235,6 +1348,7 @@ class Program_weight_tensor_parameter_112: class Program_weight_tensor_parameter_113: name = "parameter_113" + original_name = "batch_norm2d_32.w_1" shape = [256] dtype = "float32" min_val = float("-0.273181") @@ -1246,6 +1360,7 @@ class Program_weight_tensor_parameter_113: class Program_weight_tensor_parameter_114: name = "parameter_114" + original_name = "conv2d_32.w_0" shape = [256, 256, 3, 3] dtype = "float32" min_val = float("-0.136752") @@ -1257,6 +1372,7 @@ class Program_weight_tensor_parameter_114: class Program_weight_tensor_parameter_115: name = "parameter_115" + original_name = "batch_norm2d_31.b_0" shape = [256] dtype = "float32" min_val = float("-0.244688") @@ -1268,6 +1384,7 @@ class Program_weight_tensor_parameter_115: class Program_weight_tensor_parameter_116: name = "parameter_116" + original_name = "batch_norm2d_31.w_0" shape = [256] dtype = "float32" min_val = float("0.0940401") @@ -1279,6 +1396,7 @@ class Program_weight_tensor_parameter_116: class Program_weight_tensor_parameter_117: name = "parameter_117" + original_name = "batch_norm2d_31.w_2" shape = [256] dtype = "float32" min_val = float("0.00569284") @@ -1290,6 +1408,7 @@ class Program_weight_tensor_parameter_117: class Program_weight_tensor_parameter_118: name = "parameter_118" + original_name = "batch_norm2d_31.w_1" shape = [256] dtype = "float32" min_val = float("-0.217011") @@ -1301,6 +1420,7 @@ class Program_weight_tensor_parameter_118: class Program_weight_tensor_parameter_119: name = "parameter_119" + original_name = "conv2d_31.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.152117") @@ -1312,6 +1432,7 @@ class Program_weight_tensor_parameter_119: class Program_weight_tensor_parameter_120: name = "parameter_120" + original_name = "batch_norm2d_30.b_0" shape = [1024] dtype = "float32" min_val = float("-0.286915") @@ -1323,6 +1444,7 @@ class Program_weight_tensor_parameter_120: class Program_weight_tensor_parameter_121: name = "parameter_121" + original_name = "batch_norm2d_30.w_0" shape = [1024] dtype = "float32" min_val = float("-0.0954698") @@ -1334,6 +1456,7 @@ class Program_weight_tensor_parameter_121: class Program_weight_tensor_parameter_122: name = "parameter_122" + original_name = "batch_norm2d_30.w_2" shape = [1024] dtype = "float32" min_val = float("5.60519e-45") @@ -1345,6 +1468,7 @@ class Program_weight_tensor_parameter_122: class Program_weight_tensor_parameter_123: name = "parameter_123" + original_name = "batch_norm2d_30.w_1" shape = [1024] dtype = "float32" min_val = float("-0.115951") @@ -1356,6 +1480,7 @@ class Program_weight_tensor_parameter_123: class Program_weight_tensor_parameter_124: name = "parameter_124" + original_name = "conv2d_30.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.197382") @@ -1367,6 +1492,7 @@ class Program_weight_tensor_parameter_124: class Program_weight_tensor_parameter_125: name = "parameter_125" + original_name = "batch_norm2d_29.b_0" shape = [256] dtype = "float32" min_val = float("-0.375463") @@ -1378,6 +1504,7 @@ class Program_weight_tensor_parameter_125: class Program_weight_tensor_parameter_126: name = "parameter_126" + original_name = "batch_norm2d_29.w_0" shape = [256] dtype = "float32" min_val = float("0.112369") @@ -1389,6 +1516,7 @@ class Program_weight_tensor_parameter_126: class Program_weight_tensor_parameter_127: name = "parameter_127" + original_name = "batch_norm2d_29.w_2" shape = [256] dtype = "float32" min_val = float("0.00590638") @@ -1400,6 +1528,7 @@ class Program_weight_tensor_parameter_127: class Program_weight_tensor_parameter_128: name = "parameter_128" + original_name = "batch_norm2d_29.w_1" shape = [256] dtype = "float32" min_val = float("-0.703637") @@ -1411,6 +1540,7 @@ class Program_weight_tensor_parameter_128: class Program_weight_tensor_parameter_129: name = "parameter_129" + original_name = "conv2d_29.w_0" shape = [256, 256, 3, 3] dtype = "float32" min_val = float("-0.281035") @@ -1422,6 +1552,7 @@ class Program_weight_tensor_parameter_129: class Program_weight_tensor_parameter_130: name = "parameter_130" + original_name = "batch_norm2d_28.b_0" shape = [256] dtype = "float32" min_val = float("-0.206572") @@ -1433,6 +1564,7 @@ class Program_weight_tensor_parameter_130: class Program_weight_tensor_parameter_131: name = "parameter_131" + original_name = "batch_norm2d_28.w_0" shape = [256] dtype = "float32" min_val = float("0.0505699") @@ -1444,6 +1576,7 @@ class Program_weight_tensor_parameter_131: class Program_weight_tensor_parameter_132: name = "parameter_132" + original_name = "batch_norm2d_28.w_2" shape = [256] dtype = "float32" min_val = float("0.00534348") @@ -1455,6 +1588,7 @@ class Program_weight_tensor_parameter_132: class Program_weight_tensor_parameter_133: name = "parameter_133" + original_name = "batch_norm2d_28.w_1" shape = [256] dtype = "float32" min_val = float("-0.875068") @@ -1466,6 +1600,7 @@ class Program_weight_tensor_parameter_133: class Program_weight_tensor_parameter_134: name = "parameter_134" + original_name = "conv2d_28.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.140779") @@ -1477,6 +1612,7 @@ class Program_weight_tensor_parameter_134: class Program_weight_tensor_parameter_135: name = "parameter_135" + original_name = "batch_norm2d_27.b_0" shape = [1024] dtype = "float32" min_val = float("-0.129348") @@ -1488,6 +1624,7 @@ class Program_weight_tensor_parameter_135: class Program_weight_tensor_parameter_136: name = "parameter_136" + original_name = "batch_norm2d_27.w_0" shape = [1024] dtype = "float32" min_val = float("-0.0782665") @@ -1499,6 +1636,7 @@ class Program_weight_tensor_parameter_136: class Program_weight_tensor_parameter_137: name = "parameter_137" + original_name = "batch_norm2d_27.w_2" shape = [1024] dtype = "float32" min_val = float("5.60519e-45") @@ -1510,6 +1648,7 @@ class Program_weight_tensor_parameter_137: class Program_weight_tensor_parameter_138: name = "parameter_138" + original_name = "batch_norm2d_27.w_1" shape = [1024] dtype = "float32" min_val = float("-0.212248") @@ -1521,6 +1660,7 @@ class Program_weight_tensor_parameter_138: class Program_weight_tensor_parameter_139: name = "parameter_139" + original_name = "conv2d_27.w_0" shape = [1024, 512, 1, 1] dtype = "float32" min_val = float("-0.21405") @@ -1532,6 +1672,7 @@ class Program_weight_tensor_parameter_139: class Program_weight_tensor_parameter_140: name = "parameter_140" + original_name = "batch_norm2d_26.b_0" shape = [1024] dtype = "float32" min_val = float("-0.129348") @@ -1543,6 +1684,7 @@ class Program_weight_tensor_parameter_140: class Program_weight_tensor_parameter_141: name = "parameter_141" + original_name = "batch_norm2d_26.w_0" shape = [1024] dtype = "float32" min_val = float("-0.112535") @@ -1554,6 +1696,7 @@ class Program_weight_tensor_parameter_141: class Program_weight_tensor_parameter_142: name = "parameter_142" + original_name = "batch_norm2d_26.w_2" shape = [1024] dtype = "float32" min_val = float("5.60519e-45") @@ -1565,6 +1708,7 @@ class Program_weight_tensor_parameter_142: class Program_weight_tensor_parameter_143: name = "parameter_143" + original_name = "batch_norm2d_26.w_1" shape = [1024] dtype = "float32" min_val = float("-0.27465") @@ -1576,6 +1720,7 @@ class Program_weight_tensor_parameter_143: class Program_weight_tensor_parameter_144: name = "parameter_144" + original_name = "conv2d_26.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.250574") @@ -1587,6 +1732,7 @@ class Program_weight_tensor_parameter_144: class Program_weight_tensor_parameter_145: name = "parameter_145" + original_name = "batch_norm2d_25.b_0" shape = [256] dtype = "float32" min_val = float("-0.169579") @@ -1598,6 +1744,7 @@ class Program_weight_tensor_parameter_145: class Program_weight_tensor_parameter_146: name = "parameter_146" + original_name = "batch_norm2d_25.w_0" shape = [256] dtype = "float32" min_val = float("0.134955") @@ -1609,6 +1756,7 @@ class Program_weight_tensor_parameter_146: class Program_weight_tensor_parameter_147: name = "parameter_147" + original_name = "batch_norm2d_25.w_2" shape = [256] dtype = "float32" min_val = float("0.00830367") @@ -1620,6 +1768,7 @@ class Program_weight_tensor_parameter_147: class Program_weight_tensor_parameter_148: name = "parameter_148" + original_name = "batch_norm2d_25.w_1" shape = [256] dtype = "float32" min_val = float("-0.33506") @@ -1631,6 +1780,7 @@ class Program_weight_tensor_parameter_148: class Program_weight_tensor_parameter_149: name = "parameter_149" + original_name = "conv2d_25.w_0" shape = [256, 256, 3, 3] dtype = "float32" min_val = float("-0.149724") @@ -1642,6 +1792,7 @@ class Program_weight_tensor_parameter_149: class Program_weight_tensor_parameter_150: name = "parameter_150" + original_name = "batch_norm2d_24.b_0" shape = [256] dtype = "float32" min_val = float("-0.373664") @@ -1653,6 +1804,7 @@ class Program_weight_tensor_parameter_150: class Program_weight_tensor_parameter_151: name = "parameter_151" + original_name = "batch_norm2d_24.w_0" shape = [256] dtype = "float32" min_val = float("0.131751") @@ -1664,6 +1816,7 @@ class Program_weight_tensor_parameter_151: class Program_weight_tensor_parameter_152: name = "parameter_152" + original_name = "batch_norm2d_24.w_2" shape = [256] dtype = "float32" min_val = float("0.00842175") @@ -1675,6 +1828,7 @@ class Program_weight_tensor_parameter_152: class Program_weight_tensor_parameter_153: name = "parameter_153" + original_name = "batch_norm2d_24.w_1" shape = [256] dtype = "float32" min_val = float("-0.32061") @@ -1686,6 +1840,7 @@ class Program_weight_tensor_parameter_153: class Program_weight_tensor_parameter_154: name = "parameter_154" + original_name = "conv2d_24.w_0" shape = [256, 512, 1, 1] dtype = "float32" min_val = float("-0.288403") @@ -1697,6 +1852,7 @@ class Program_weight_tensor_parameter_154: class Program_weight_tensor_parameter_155: name = "parameter_155" + original_name = "batch_norm2d_23.b_0" shape = [512] dtype = "float32" min_val = float("-0.265845") @@ -1708,6 +1864,7 @@ class Program_weight_tensor_parameter_155: class Program_weight_tensor_parameter_156: name = "parameter_156" + original_name = "batch_norm2d_23.w_0" shape = [512] dtype = "float32" min_val = float("-0.118565") @@ -1719,6 +1876,7 @@ class Program_weight_tensor_parameter_156: class Program_weight_tensor_parameter_157: name = "parameter_157" + original_name = "batch_norm2d_23.w_2" shape = [512] dtype = "float32" min_val = float("6.90692e-05") @@ -1730,6 +1888,7 @@ class Program_weight_tensor_parameter_157: class Program_weight_tensor_parameter_158: name = "parameter_158" + original_name = "batch_norm2d_23.w_1" shape = [512] dtype = "float32" min_val = float("-0.1189") @@ -1741,6 +1900,7 @@ class Program_weight_tensor_parameter_158: class Program_weight_tensor_parameter_159: name = "parameter_159" + original_name = "conv2d_23.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.193565") @@ -1752,6 +1912,7 @@ class Program_weight_tensor_parameter_159: class Program_weight_tensor_parameter_160: name = "parameter_160" + original_name = "batch_norm2d_22.b_0" shape = [128] dtype = "float32" min_val = float("-0.232901") @@ -1763,6 +1924,7 @@ class Program_weight_tensor_parameter_160: class Program_weight_tensor_parameter_161: name = "parameter_161" + original_name = "batch_norm2d_22.w_0" shape = [128] dtype = "float32" min_val = float("0.118614") @@ -1774,6 +1936,7 @@ class Program_weight_tensor_parameter_161: class Program_weight_tensor_parameter_162: name = "parameter_162" + original_name = "batch_norm2d_22.w_2" shape = [128] dtype = "float32" min_val = float("0.0036914") @@ -1785,6 +1948,7 @@ class Program_weight_tensor_parameter_162: class Program_weight_tensor_parameter_163: name = "parameter_163" + original_name = "batch_norm2d_22.w_1" shape = [128] dtype = "float32" min_val = float("-0.2584") @@ -1796,6 +1960,7 @@ class Program_weight_tensor_parameter_163: class Program_weight_tensor_parameter_164: name = "parameter_164" + original_name = "conv2d_22.w_0" shape = [128, 128, 3, 3] dtype = "float32" min_val = float("-0.16922") @@ -1807,6 +1972,7 @@ class Program_weight_tensor_parameter_164: class Program_weight_tensor_parameter_165: name = "parameter_165" + original_name = "batch_norm2d_21.b_0" shape = [128] dtype = "float32" min_val = float("-0.217268") @@ -1818,6 +1984,7 @@ class Program_weight_tensor_parameter_165: class Program_weight_tensor_parameter_166: name = "parameter_166" + original_name = "batch_norm2d_21.w_0" shape = [128] dtype = "float32" min_val = float("0.0919655") @@ -1829,6 +1996,7 @@ class Program_weight_tensor_parameter_166: class Program_weight_tensor_parameter_167: name = "parameter_167" + original_name = "batch_norm2d_21.w_2" shape = [128] dtype = "float32" min_val = float("0.00814545") @@ -1840,6 +2008,7 @@ class Program_weight_tensor_parameter_167: class Program_weight_tensor_parameter_168: name = "parameter_168" + original_name = "batch_norm2d_21.w_1" shape = [128] dtype = "float32" min_val = float("-0.257612") @@ -1851,6 +2020,7 @@ class Program_weight_tensor_parameter_168: class Program_weight_tensor_parameter_169: name = "parameter_169" + original_name = "conv2d_21.w_0" shape = [128, 512, 1, 1] dtype = "float32" min_val = float("-0.166509") @@ -1862,6 +2032,7 @@ class Program_weight_tensor_parameter_169: class Program_weight_tensor_parameter_170: name = "parameter_170" + original_name = "batch_norm2d_20.b_0" shape = [512] dtype = "float32" min_val = float("-0.237501") @@ -1873,6 +2044,7 @@ class Program_weight_tensor_parameter_170: class Program_weight_tensor_parameter_171: name = "parameter_171" + original_name = "batch_norm2d_20.w_0" shape = [512] dtype = "float32" min_val = float("-0.139383") @@ -1884,6 +2056,7 @@ class Program_weight_tensor_parameter_171: class Program_weight_tensor_parameter_172: name = "parameter_172" + original_name = "batch_norm2d_20.w_2" shape = [512] dtype = "float32" min_val = float("5.60519e-45") @@ -1895,6 +2068,7 @@ class Program_weight_tensor_parameter_172: class Program_weight_tensor_parameter_173: name = "parameter_173" + original_name = "batch_norm2d_20.w_1" shape = [512] dtype = "float32" min_val = float("-0.117918") @@ -1906,6 +2080,7 @@ class Program_weight_tensor_parameter_173: class Program_weight_tensor_parameter_174: name = "parameter_174" + original_name = "conv2d_20.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.224215") @@ -1917,6 +2092,7 @@ class Program_weight_tensor_parameter_174: class Program_weight_tensor_parameter_175: name = "parameter_175" + original_name = "batch_norm2d_19.b_0" shape = [128] dtype = "float32" min_val = float("-0.24293") @@ -1928,6 +2104,7 @@ class Program_weight_tensor_parameter_175: class Program_weight_tensor_parameter_176: name = "parameter_176" + original_name = "batch_norm2d_19.w_0" shape = [128] dtype = "float32" min_val = float("0.105289") @@ -1939,6 +2116,7 @@ class Program_weight_tensor_parameter_176: class Program_weight_tensor_parameter_177: name = "parameter_177" + original_name = "batch_norm2d_19.w_2" shape = [128] dtype = "float32" min_val = float("0.00365003") @@ -1950,6 +2128,7 @@ class Program_weight_tensor_parameter_177: class Program_weight_tensor_parameter_178: name = "parameter_178" + original_name = "batch_norm2d_19.w_1" shape = [128] dtype = "float32" min_val = float("-0.254277") @@ -1961,6 +2140,7 @@ class Program_weight_tensor_parameter_178: class Program_weight_tensor_parameter_179: name = "parameter_179" + original_name = "conv2d_19.w_0" shape = [128, 128, 3, 3] dtype = "float32" min_val = float("-0.180498") @@ -1972,6 +2152,7 @@ class Program_weight_tensor_parameter_179: class Program_weight_tensor_parameter_180: name = "parameter_180" + original_name = "batch_norm2d_18.b_0" shape = [128] dtype = "float32" min_val = float("-0.193473") @@ -1983,6 +2164,7 @@ class Program_weight_tensor_parameter_180: class Program_weight_tensor_parameter_181: name = "parameter_181" + original_name = "batch_norm2d_18.w_0" shape = [128] dtype = "float32" min_val = float("0.10514") @@ -1994,6 +2176,7 @@ class Program_weight_tensor_parameter_181: class Program_weight_tensor_parameter_182: name = "parameter_182" + original_name = "batch_norm2d_18.w_2" shape = [128] dtype = "float32" min_val = float("0.00566217") @@ -2005,6 +2188,7 @@ class Program_weight_tensor_parameter_182: class Program_weight_tensor_parameter_183: name = "parameter_183" + original_name = "batch_norm2d_18.w_1" shape = [128] dtype = "float32" min_val = float("-0.218979") @@ -2016,6 +2200,7 @@ class Program_weight_tensor_parameter_183: class Program_weight_tensor_parameter_184: name = "parameter_184" + original_name = "conv2d_18.w_0" shape = [128, 512, 1, 1] dtype = "float32" min_val = float("-0.167322") @@ -2027,6 +2212,7 @@ class Program_weight_tensor_parameter_184: class Program_weight_tensor_parameter_185: name = "parameter_185" + original_name = "batch_norm2d_17.b_0" shape = [512] dtype = "float32" min_val = float("-0.246362") @@ -2038,6 +2224,7 @@ class Program_weight_tensor_parameter_185: class Program_weight_tensor_parameter_186: name = "parameter_186" + original_name = "batch_norm2d_17.w_0" shape = [512] dtype = "float32" min_val = float("-0.192972") @@ -2049,6 +2236,7 @@ class Program_weight_tensor_parameter_186: class Program_weight_tensor_parameter_187: name = "parameter_187" + original_name = "batch_norm2d_17.w_2" shape = [512] dtype = "float32" min_val = float("5.60519e-45") @@ -2060,6 +2248,7 @@ class Program_weight_tensor_parameter_187: class Program_weight_tensor_parameter_188: name = "parameter_188" + original_name = "batch_norm2d_17.w_1" shape = [512] dtype = "float32" min_val = float("-0.127251") @@ -2071,6 +2260,7 @@ class Program_weight_tensor_parameter_188: class Program_weight_tensor_parameter_189: name = "parameter_189" + original_name = "conv2d_17.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.326628") @@ -2082,6 +2272,7 @@ class Program_weight_tensor_parameter_189: class Program_weight_tensor_parameter_190: name = "parameter_190" + original_name = "batch_norm2d_16.b_0" shape = [128] dtype = "float32" min_val = float("-0.361239") @@ -2093,6 +2284,7 @@ class Program_weight_tensor_parameter_190: class Program_weight_tensor_parameter_191: name = "parameter_191" + original_name = "batch_norm2d_16.w_0" shape = [128] dtype = "float32" min_val = float("0.108821") @@ -2104,6 +2296,7 @@ class Program_weight_tensor_parameter_191: class Program_weight_tensor_parameter_192: name = "parameter_192" + original_name = "batch_norm2d_16.w_2" shape = [128] dtype = "float32" min_val = float("0.00205709") @@ -2115,6 +2308,7 @@ class Program_weight_tensor_parameter_192: class Program_weight_tensor_parameter_193: name = "parameter_193" + original_name = "batch_norm2d_16.w_1" shape = [128] dtype = "float32" min_val = float("-0.88215") @@ -2126,6 +2320,7 @@ class Program_weight_tensor_parameter_193: class Program_weight_tensor_parameter_194: name = "parameter_194" + original_name = "conv2d_16.w_0" shape = [128, 128, 3, 3] dtype = "float32" min_val = float("-0.204917") @@ -2137,6 +2332,7 @@ class Program_weight_tensor_parameter_194: class Program_weight_tensor_parameter_195: name = "parameter_195" + original_name = "batch_norm2d_15.b_0" shape = [128] dtype = "float32" min_val = float("-0.338997") @@ -2148,6 +2344,7 @@ class Program_weight_tensor_parameter_195: class Program_weight_tensor_parameter_196: name = "parameter_196" + original_name = "batch_norm2d_15.w_0" shape = [128] dtype = "float32" min_val = float("0.0665975") @@ -2159,6 +2356,7 @@ class Program_weight_tensor_parameter_196: class Program_weight_tensor_parameter_197: name = "parameter_197" + original_name = "batch_norm2d_15.w_2" shape = [128] dtype = "float32" min_val = float("0.00275272") @@ -2170,6 +2368,7 @@ class Program_weight_tensor_parameter_197: class Program_weight_tensor_parameter_198: name = "parameter_198" + original_name = "batch_norm2d_15.w_1" shape = [128] dtype = "float32" min_val = float("-0.271973") @@ -2181,6 +2380,7 @@ class Program_weight_tensor_parameter_198: class Program_weight_tensor_parameter_199: name = "parameter_199" + original_name = "conv2d_15.w_0" shape = [128, 512, 1, 1] dtype = "float32" min_val = float("-0.190376") @@ -2192,6 +2392,7 @@ class Program_weight_tensor_parameter_199: class Program_weight_tensor_parameter_200: name = "parameter_200" + original_name = "batch_norm2d_14.b_0" shape = [512] dtype = "float32" min_val = float("-0.174057") @@ -2203,6 +2404,7 @@ class Program_weight_tensor_parameter_200: class Program_weight_tensor_parameter_201: name = "parameter_201" + original_name = "batch_norm2d_14.w_0" shape = [512] dtype = "float32" min_val = float("-0.0848256") @@ -2214,6 +2416,7 @@ class Program_weight_tensor_parameter_201: class Program_weight_tensor_parameter_202: name = "parameter_202" + original_name = "batch_norm2d_14.w_2" shape = [512] dtype = "float32" min_val = float("5.60519e-45") @@ -2225,6 +2428,7 @@ class Program_weight_tensor_parameter_202: class Program_weight_tensor_parameter_203: name = "parameter_203" + original_name = "batch_norm2d_14.w_1" shape = [512] dtype = "float32" min_val = float("-0.533149") @@ -2236,6 +2440,7 @@ class Program_weight_tensor_parameter_203: class Program_weight_tensor_parameter_204: name = "parameter_204" + original_name = "conv2d_14.w_0" shape = [512, 256, 1, 1] dtype = "float32" min_val = float("-0.784791") @@ -2247,6 +2452,7 @@ class Program_weight_tensor_parameter_204: class Program_weight_tensor_parameter_205: name = "parameter_205" + original_name = "batch_norm2d_13.b_0" shape = [512] dtype = "float32" min_val = float("-0.174057") @@ -2258,6 +2464,7 @@ class Program_weight_tensor_parameter_205: class Program_weight_tensor_parameter_206: name = "parameter_206" + original_name = "batch_norm2d_13.w_0" shape = [512] dtype = "float32" min_val = float("-0.110713") @@ -2269,6 +2476,7 @@ class Program_weight_tensor_parameter_206: class Program_weight_tensor_parameter_207: name = "parameter_207" + original_name = "batch_norm2d_13.w_2" shape = [512] dtype = "float32" min_val = float("5.60519e-45") @@ -2280,6 +2488,7 @@ class Program_weight_tensor_parameter_207: class Program_weight_tensor_parameter_208: name = "parameter_208" + original_name = "batch_norm2d_13.w_1" shape = [512] dtype = "float32" min_val = float("-0.415602") @@ -2291,6 +2500,7 @@ class Program_weight_tensor_parameter_208: class Program_weight_tensor_parameter_209: name = "parameter_209" + original_name = "conv2d_13.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.296448") @@ -2302,6 +2512,7 @@ class Program_weight_tensor_parameter_209: class Program_weight_tensor_parameter_210: name = "parameter_210" + original_name = "batch_norm2d_12.b_0" shape = [128] dtype = "float32" min_val = float("-0.074944") @@ -2313,6 +2524,7 @@ class Program_weight_tensor_parameter_210: class Program_weight_tensor_parameter_211: name = "parameter_211" + original_name = "batch_norm2d_12.w_0" shape = [128] dtype = "float32" min_val = float("0.152032") @@ -2324,6 +2536,7 @@ class Program_weight_tensor_parameter_211: class Program_weight_tensor_parameter_212: name = "parameter_212" + original_name = "batch_norm2d_12.w_2" shape = [128] dtype = "float32" min_val = float("0.0115748") @@ -2335,6 +2548,7 @@ class Program_weight_tensor_parameter_212: class Program_weight_tensor_parameter_213: name = "parameter_213" + original_name = "batch_norm2d_12.w_1" shape = [128] dtype = "float32" min_val = float("-0.199519") @@ -2346,6 +2560,7 @@ class Program_weight_tensor_parameter_213: class Program_weight_tensor_parameter_214: name = "parameter_214" + original_name = "conv2d_12.w_0" shape = [128, 128, 3, 3] dtype = "float32" min_val = float("-0.139431") @@ -2357,6 +2572,7 @@ class Program_weight_tensor_parameter_214: class Program_weight_tensor_parameter_215: name = "parameter_215" + original_name = "batch_norm2d_11.b_0" shape = [128] dtype = "float32" min_val = float("-0.254442") @@ -2368,6 +2584,7 @@ class Program_weight_tensor_parameter_215: class Program_weight_tensor_parameter_216: name = "parameter_216" + original_name = "batch_norm2d_11.w_0" shape = [128] dtype = "float32" min_val = float("7.25214e-19") @@ -2379,6 +2596,7 @@ class Program_weight_tensor_parameter_216: class Program_weight_tensor_parameter_217: name = "parameter_217" + original_name = "batch_norm2d_11.w_2" shape = [128] dtype = "float32" min_val = float("5.60519e-45") @@ -2390,6 +2608,7 @@ class Program_weight_tensor_parameter_217: class Program_weight_tensor_parameter_218: name = "parameter_218" + original_name = "batch_norm2d_11.w_1" shape = [128] dtype = "float32" min_val = float("-0.268614") @@ -2401,6 +2620,7 @@ class Program_weight_tensor_parameter_218: class Program_weight_tensor_parameter_219: name = "parameter_219" + original_name = "conv2d_11.w_0" shape = [128, 256, 1, 1] dtype = "float32" min_val = float("-0.225231") @@ -2412,6 +2632,7 @@ class Program_weight_tensor_parameter_219: class Program_weight_tensor_parameter_220: name = "parameter_220" + original_name = "batch_norm2d_10.b_0" shape = [256] dtype = "float32" min_val = float("-0.164081") @@ -2423,6 +2644,7 @@ class Program_weight_tensor_parameter_220: class Program_weight_tensor_parameter_221: name = "parameter_221" + original_name = "batch_norm2d_10.w_0" shape = [256] dtype = "float32" min_val = float("-0.255304") @@ -2434,6 +2656,7 @@ class Program_weight_tensor_parameter_221: class Program_weight_tensor_parameter_222: name = "parameter_222" + original_name = "batch_norm2d_10.w_2" shape = [256] dtype = "float32" min_val = float("7.13135e-05") @@ -2445,6 +2668,7 @@ class Program_weight_tensor_parameter_222: class Program_weight_tensor_parameter_223: name = "parameter_223" + original_name = "batch_norm2d_10.w_1" shape = [256] dtype = "float32" min_val = float("-0.134001") @@ -2456,6 +2680,7 @@ class Program_weight_tensor_parameter_223: class Program_weight_tensor_parameter_224: name = "parameter_224" + original_name = "conv2d_10.w_0" shape = [256, 64, 1, 1] dtype = "float32" min_val = float("-0.325341") @@ -2467,6 +2692,7 @@ class Program_weight_tensor_parameter_224: class Program_weight_tensor_parameter_225: name = "parameter_225" + original_name = "batch_norm2d_9.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -2476,6 +2702,7 @@ class Program_weight_tensor_parameter_225: class Program_weight_tensor_parameter_226: name = "parameter_226" + original_name = "batch_norm2d_9.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -2485,6 +2712,7 @@ class Program_weight_tensor_parameter_226: class Program_weight_tensor_parameter_227: name = "parameter_227" + original_name = "batch_norm2d_9.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -2494,6 +2722,7 @@ class Program_weight_tensor_parameter_227: class Program_weight_tensor_parameter_228: name = "parameter_228" + original_name = "batch_norm2d_9.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -2503,6 +2732,7 @@ class Program_weight_tensor_parameter_228: class Program_weight_tensor_parameter_229: name = "parameter_229" + original_name = "conv2d_9.w_0" shape = [64, 64, 3, 3] dtype = "float32" min_val = float("-0.260063") @@ -2514,6 +2744,7 @@ class Program_weight_tensor_parameter_229: class Program_weight_tensor_parameter_230: name = "parameter_230" + original_name = "batch_norm2d_8.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -2523,6 +2754,7 @@ class Program_weight_tensor_parameter_230: class Program_weight_tensor_parameter_231: name = "parameter_231" + original_name = "batch_norm2d_8.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -2532,6 +2764,7 @@ class Program_weight_tensor_parameter_231: class Program_weight_tensor_parameter_232: name = "parameter_232" + original_name = "batch_norm2d_8.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -2541,6 +2774,7 @@ class Program_weight_tensor_parameter_232: class Program_weight_tensor_parameter_233: name = "parameter_233" + original_name = "batch_norm2d_8.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -2550,6 +2784,7 @@ class Program_weight_tensor_parameter_233: class Program_weight_tensor_parameter_234: name = "parameter_234" + original_name = "conv2d_8.w_0" shape = [64, 256, 1, 1] dtype = "float32" min_val = float("-0.188987") @@ -2561,6 +2796,7 @@ class Program_weight_tensor_parameter_234: class Program_weight_tensor_parameter_235: name = "parameter_235" + original_name = "batch_norm2d_7.b_0" shape = [256] dtype = "float32" min_val = float("-0.177844") @@ -2572,6 +2808,7 @@ class Program_weight_tensor_parameter_235: class Program_weight_tensor_parameter_236: name = "parameter_236" + original_name = "batch_norm2d_7.w_0" shape = [256] dtype = "float32" min_val = float("-0.20365") @@ -2583,6 +2820,7 @@ class Program_weight_tensor_parameter_236: class Program_weight_tensor_parameter_237: name = "parameter_237" + original_name = "batch_norm2d_7.w_2" shape = [256] dtype = "float32" min_val = float("5.60519e-45") @@ -2594,6 +2832,7 @@ class Program_weight_tensor_parameter_237: class Program_weight_tensor_parameter_238: name = "parameter_238" + original_name = "batch_norm2d_7.w_1" shape = [256] dtype = "float32" min_val = float("-0.0838838") @@ -2605,6 +2844,7 @@ class Program_weight_tensor_parameter_238: class Program_weight_tensor_parameter_239: name = "parameter_239" + original_name = "conv2d_7.w_0" shape = [256, 64, 1, 1] dtype = "float32" min_val = float("-0.252014") @@ -2616,6 +2856,7 @@ class Program_weight_tensor_parameter_239: class Program_weight_tensor_parameter_240: name = "parameter_240" + original_name = "batch_norm2d_6.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -2625,6 +2866,7 @@ class Program_weight_tensor_parameter_240: class Program_weight_tensor_parameter_241: name = "parameter_241" + original_name = "batch_norm2d_6.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -2634,6 +2876,7 @@ class Program_weight_tensor_parameter_241: class Program_weight_tensor_parameter_242: name = "parameter_242" + original_name = "batch_norm2d_6.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -2643,6 +2886,7 @@ class Program_weight_tensor_parameter_242: class Program_weight_tensor_parameter_243: name = "parameter_243" + original_name = "batch_norm2d_6.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -2652,6 +2896,7 @@ class Program_weight_tensor_parameter_243: class Program_weight_tensor_parameter_244: name = "parameter_244" + original_name = "conv2d_6.w_0" shape = [64, 64, 3, 3] dtype = "float32" min_val = float("-0.277947") @@ -2663,6 +2908,7 @@ class Program_weight_tensor_parameter_244: class Program_weight_tensor_parameter_245: name = "parameter_245" + original_name = "batch_norm2d_5.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -2672,6 +2918,7 @@ class Program_weight_tensor_parameter_245: class Program_weight_tensor_parameter_246: name = "parameter_246" + original_name = "batch_norm2d_5.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -2681,6 +2928,7 @@ class Program_weight_tensor_parameter_246: class Program_weight_tensor_parameter_247: name = "parameter_247" + original_name = "batch_norm2d_5.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -2690,6 +2938,7 @@ class Program_weight_tensor_parameter_247: class Program_weight_tensor_parameter_248: name = "parameter_248" + original_name = "batch_norm2d_5.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -2699,6 +2948,7 @@ class Program_weight_tensor_parameter_248: class Program_weight_tensor_parameter_249: name = "parameter_249" + original_name = "conv2d_5.w_0" shape = [64, 256, 1, 1] dtype = "float32" min_val = float("-0.340337") @@ -2710,6 +2960,7 @@ class Program_weight_tensor_parameter_249: class Program_weight_tensor_parameter_250: name = "parameter_250" + original_name = "batch_norm2d_4.b_0" shape = [256] dtype = "float32" min_val = float("-0.21502") @@ -2721,6 +2972,7 @@ class Program_weight_tensor_parameter_250: class Program_weight_tensor_parameter_251: name = "parameter_251" + original_name = "batch_norm2d_4.w_0" shape = [256] dtype = "float32" min_val = float("-0.140844") @@ -2732,6 +2984,7 @@ class Program_weight_tensor_parameter_251: class Program_weight_tensor_parameter_252: name = "parameter_252" + original_name = "batch_norm2d_4.w_2" shape = [256] dtype = "float32" min_val = float("5.60519e-45") @@ -2743,6 +2996,7 @@ class Program_weight_tensor_parameter_252: class Program_weight_tensor_parameter_253: name = "parameter_253" + original_name = "batch_norm2d_4.w_1" shape = [256] dtype = "float32" min_val = float("-0.788895") @@ -2754,6 +3008,7 @@ class Program_weight_tensor_parameter_253: class Program_weight_tensor_parameter_254: name = "parameter_254" + original_name = "conv2d_4.w_0" shape = [256, 64, 1, 1] dtype = "float32" min_val = float("-0.636716") @@ -2765,6 +3020,7 @@ class Program_weight_tensor_parameter_254: class Program_weight_tensor_parameter_255: name = "parameter_255" + original_name = "batch_norm2d_3.b_0" shape = [256] dtype = "float32" min_val = float("-0.21502") @@ -2776,6 +3032,7 @@ class Program_weight_tensor_parameter_255: class Program_weight_tensor_parameter_256: name = "parameter_256" + original_name = "batch_norm2d_3.w_0" shape = [256] dtype = "float32" min_val = float("-0.351499") @@ -2787,6 +3044,7 @@ class Program_weight_tensor_parameter_256: class Program_weight_tensor_parameter_257: name = "parameter_257" + original_name = "batch_norm2d_3.w_2" shape = [256] dtype = "float32" min_val = float("5.60519e-45") @@ -2798,6 +3056,7 @@ class Program_weight_tensor_parameter_257: class Program_weight_tensor_parameter_258: name = "parameter_258" + original_name = "batch_norm2d_3.w_1" shape = [256] dtype = "float32" min_val = float("-0.222001") @@ -2809,6 +3068,7 @@ class Program_weight_tensor_parameter_258: class Program_weight_tensor_parameter_259: name = "parameter_259" + original_name = "conv2d_3.w_0" shape = [256, 64, 1, 1] dtype = "float32" min_val = float("-0.416537") @@ -2820,6 +3080,7 @@ class Program_weight_tensor_parameter_259: class Program_weight_tensor_parameter_260: name = "parameter_260" + original_name = "batch_norm2d_2.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -2829,6 +3090,7 @@ class Program_weight_tensor_parameter_260: class Program_weight_tensor_parameter_261: name = "parameter_261" + original_name = "batch_norm2d_2.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -2838,6 +3100,7 @@ class Program_weight_tensor_parameter_261: class Program_weight_tensor_parameter_262: name = "parameter_262" + original_name = "batch_norm2d_2.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -2847,6 +3110,7 @@ class Program_weight_tensor_parameter_262: class Program_weight_tensor_parameter_263: name = "parameter_263" + original_name = "batch_norm2d_2.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -2856,6 +3120,7 @@ class Program_weight_tensor_parameter_263: class Program_weight_tensor_parameter_264: name = "parameter_264" + original_name = "conv2d_2.w_0" shape = [64, 64, 3, 3] dtype = "float32" min_val = float("-0.367672") @@ -2867,6 +3132,7 @@ class Program_weight_tensor_parameter_264: class Program_weight_tensor_parameter_265: name = "parameter_265" + original_name = "batch_norm2d_1.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -2876,6 +3142,7 @@ class Program_weight_tensor_parameter_265: class Program_weight_tensor_parameter_266: name = "parameter_266" + original_name = "batch_norm2d_1.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -2885,6 +3152,7 @@ class Program_weight_tensor_parameter_266: class Program_weight_tensor_parameter_267: name = "parameter_267" + original_name = "batch_norm2d_1.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -2894,6 +3162,7 @@ class Program_weight_tensor_parameter_267: class Program_weight_tensor_parameter_268: name = "parameter_268" + original_name = "batch_norm2d_1.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -2903,6 +3172,7 @@ class Program_weight_tensor_parameter_268: class Program_weight_tensor_parameter_269: name = "parameter_269" + original_name = "conv2d_1.w_0" shape = [64, 64, 1, 1] dtype = "float32" min_val = float("-0.628632") @@ -2914,6 +3184,7 @@ class Program_weight_tensor_parameter_269: class Program_weight_tensor_parameter_270: name = "parameter_270" + original_name = "batch_norm2d_0.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -2923,6 +3194,7 @@ class Program_weight_tensor_parameter_270: class Program_weight_tensor_parameter_271: name = "parameter_271" + original_name = "batch_norm2d_0.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -2932,6 +3204,7 @@ class Program_weight_tensor_parameter_271: class Program_weight_tensor_parameter_272: name = "parameter_272" + original_name = "batch_norm2d_0.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -2941,6 +3214,7 @@ class Program_weight_tensor_parameter_272: class Program_weight_tensor_parameter_273: name = "parameter_273" + original_name = "batch_norm2d_0.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -2950,6 +3224,7 @@ class Program_weight_tensor_parameter_273: class Program_weight_tensor_parameter_274: name = "parameter_274" + original_name = "conv2d_0.w_0" shape = [64, 3, 7, 7] dtype = "float32" min_val = float("-0.593842") diff --git a/paddle_samples/PaddleX/FasterRCNN-Swin-Tiny-FPN/subgraph_2/input_meta.py b/paddle_samples/PaddleX/FasterRCNN-Swin-Tiny-FPN/subgraph_2/input_meta.py index 19f20c045..59441d705 100644 --- a/paddle_samples/PaddleX/FasterRCNN-Swin-Tiny-FPN/subgraph_2/input_meta.py +++ b/paddle_samples/PaddleX/FasterRCNN-Swin-Tiny-FPN/subgraph_2/input_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_data_0: name = "data_0" + original_name = "param_36" shape = [169, 3] dtype = "float32" min_val = float("-7.94399") @@ -11,6 +12,7 @@ class Program_weight_tensor_data_0: class Program_weight_tensor_data_1: name = "data_1" + original_name = "param_37" shape = [169, 3] dtype = "float32" min_val = float("-6.29996") @@ -22,6 +24,7 @@ class Program_weight_tensor_data_1: class Program_weight_tensor_data_2: name = "data_2" + original_name = "param_38" shape = [169, 6] dtype = "float32" min_val = float("-4.81262") @@ -33,6 +36,7 @@ class Program_weight_tensor_data_2: class Program_weight_tensor_data_3: name = "data_3" + original_name = "param_39" shape = [169, 6] dtype = "float32" min_val = float("-6.72356") @@ -44,6 +48,7 @@ class Program_weight_tensor_data_3: class Program_weight_tensor_data_4: name = "data_4" + original_name = "param_40" shape = [169, 12] dtype = "float32" min_val = float("-7.57191") @@ -55,6 +60,7 @@ class Program_weight_tensor_data_4: class Program_weight_tensor_data_5: name = "data_5" + original_name = "param_41" shape = [169, 12] dtype = "float32" min_val = float("-7.92046") @@ -66,6 +72,7 @@ class Program_weight_tensor_data_5: class Program_weight_tensor_data_6: name = "data_6" + original_name = "param_42" shape = [169, 12] dtype = "float32" min_val = float("-8.59273") @@ -77,6 +84,7 @@ class Program_weight_tensor_data_6: class Program_weight_tensor_data_7: name = "data_7" + original_name = "param_43" shape = [169, 12] dtype = "float32" min_val = float("-5.61264") @@ -88,6 +96,7 @@ class Program_weight_tensor_data_7: class Program_weight_tensor_data_8: name = "data_8" + original_name = "param_44" shape = [169, 12] dtype = "float32" min_val = float("-7.91515") @@ -99,6 +108,7 @@ class Program_weight_tensor_data_8: class Program_weight_tensor_data_9: name = "data_9" + original_name = "param_45" shape = [169, 12] dtype = "float32" min_val = float("-9.66441") @@ -110,6 +120,7 @@ class Program_weight_tensor_data_9: class Program_weight_tensor_data_10: name = "data_10" + original_name = "param_46" shape = [169, 24] dtype = "float32" min_val = float("-11.2016") @@ -121,6 +132,7 @@ class Program_weight_tensor_data_10: class Program_weight_tensor_data_11: name = "data_11" + original_name = "param_47" shape = [169, 24] dtype = "float32" min_val = float("-11.466") @@ -132,6 +144,7 @@ class Program_weight_tensor_data_11: class Program_weight_tensor_data_12: name = "data_12" + original_name = "var_4537" shape = [2, 3, 992, 736] dtype = "float32" min_val = float("-2.10078") @@ -143,6 +156,7 @@ class Program_weight_tensor_data_12: class Program_weight_tensor_data_13: name = "data_13" + original_name = "var_4587" shape = [49, 49] dtype = "int64" min_val = 0 @@ -152,6 +166,7 @@ class Program_weight_tensor_data_13: class Program_weight_tensor_data_14: name = "data_14" + original_name = "var_4632" shape = [49, 49] dtype = "int64" min_val = 0 @@ -161,6 +176,7 @@ class Program_weight_tensor_data_14: class Program_weight_tensor_data_15: name = "data_15" + original_name = "var_4728" shape = [49, 49] dtype = "int64" min_val = 0 @@ -170,6 +186,7 @@ class Program_weight_tensor_data_15: class Program_weight_tensor_data_16: name = "data_16" + original_name = "var_4785" shape = [49, 49] dtype = "int64" min_val = 0 @@ -179,6 +196,7 @@ class Program_weight_tensor_data_16: class Program_weight_tensor_data_17: name = "data_17" + original_name = "var_4881" shape = [49, 49] dtype = "int64" min_val = 0 @@ -188,6 +206,7 @@ class Program_weight_tensor_data_17: class Program_weight_tensor_data_18: name = "data_18" + original_name = "var_4938" shape = [49, 49] dtype = "int64" min_val = 0 @@ -197,6 +216,7 @@ class Program_weight_tensor_data_18: class Program_weight_tensor_data_19: name = "data_19" + original_name = "var_5000" shape = [49, 49] dtype = "int64" min_val = 0 @@ -206,6 +226,7 @@ class Program_weight_tensor_data_19: class Program_weight_tensor_data_20: name = "data_20" + original_name = "var_5057" shape = [49, 49] dtype = "int64" min_val = 0 @@ -215,6 +236,7 @@ class Program_weight_tensor_data_20: class Program_weight_tensor_data_21: name = "data_21" + original_name = "var_5119" shape = [49, 49] dtype = "int64" min_val = 0 @@ -224,6 +246,7 @@ class Program_weight_tensor_data_21: class Program_weight_tensor_data_22: name = "data_22" + original_name = "var_5176" shape = [49, 49] dtype = "int64" min_val = 0 @@ -233,6 +256,7 @@ class Program_weight_tensor_data_22: class Program_weight_tensor_data_23: name = "data_23" + original_name = "var_5272" shape = [49, 49] dtype = "int64" min_val = 0 @@ -242,6 +266,7 @@ class Program_weight_tensor_data_23: class Program_weight_tensor_data_24: name = "data_24" + original_name = "var_5329" shape = [49, 49] dtype = "int64" min_val = 0 diff --git a/paddle_samples/PaddleX/FasterRCNN-Swin-Tiny-FPN/subgraph_2/weight_meta.py b/paddle_samples/PaddleX/FasterRCNN-Swin-Tiny-FPN/subgraph_2/weight_meta.py index 51032f1ae..ca8f6b7f7 100644 --- a/paddle_samples/PaddleX/FasterRCNN-Swin-Tiny-FPN/subgraph_2/weight_meta.py +++ b/paddle_samples/PaddleX/FasterRCNN-Swin-Tiny-FPN/subgraph_2/weight_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_parameter_0: name = "parameter_0" + original_name = "layer_norm_31.b_0" shape = [768] dtype = "float32" min_val = float("-0.168752") @@ -11,6 +12,7 @@ class Program_weight_tensor_parameter_0: class Program_weight_tensor_parameter_1: name = "parameter_1" + original_name = "layer_norm_31.w_0" shape = [768] dtype = "float32" min_val = float("0.560832") @@ -22,6 +24,7 @@ class Program_weight_tensor_parameter_1: class Program_weight_tensor_parameter_2: name = "parameter_2" + original_name = "linear_50.b_0" shape = [768] dtype = "float32" min_val = float("-5.81437") @@ -33,6 +36,7 @@ class Program_weight_tensor_parameter_2: class Program_weight_tensor_parameter_3: name = "parameter_3" + original_name = "linear_50.w_0" shape = [3072, 768] dtype = "float32" min_val = float("-1.44604") @@ -44,6 +48,7 @@ class Program_weight_tensor_parameter_3: class Program_weight_tensor_parameter_4: name = "parameter_4" + original_name = "linear_49.b_0" shape = [3072] dtype = "float32" min_val = float("-1.20901") @@ -55,6 +60,7 @@ class Program_weight_tensor_parameter_4: class Program_weight_tensor_parameter_5: name = "parameter_5" + original_name = "linear_49.w_0" shape = [768, 3072] dtype = "float32" min_val = float("-0.338838") @@ -66,6 +72,7 @@ class Program_weight_tensor_parameter_5: class Program_weight_tensor_parameter_6: name = "parameter_6" + original_name = "layer_norm_27.b_0" shape = [768] dtype = "float32" min_val = float("-1.52521") @@ -77,6 +84,7 @@ class Program_weight_tensor_parameter_6: class Program_weight_tensor_parameter_7: name = "parameter_7" + original_name = "layer_norm_27.w_0" shape = [768] dtype = "float32" min_val = float("0.00322733") @@ -88,6 +96,7 @@ class Program_weight_tensor_parameter_7: class Program_weight_tensor_parameter_8: name = "parameter_8" + original_name = "linear_48.b_0" shape = [768] dtype = "float32" min_val = float("-8.84714") @@ -99,6 +108,7 @@ class Program_weight_tensor_parameter_8: class Program_weight_tensor_parameter_9: name = "parameter_9" + original_name = "linear_48.w_0" shape = [768, 768] dtype = "float32" min_val = float("-0.795604") @@ -110,6 +120,7 @@ class Program_weight_tensor_parameter_9: class Program_weight_tensor_parameter_10: name = "parameter_10" + original_name = "linear_47.b_0" shape = [2304] dtype = "float32" min_val = float("-2.15808") @@ -121,6 +132,7 @@ class Program_weight_tensor_parameter_10: class Program_weight_tensor_parameter_11: name = "parameter_11" + original_name = "linear_47.w_0" shape = [768, 2304] dtype = "float32" min_val = float("-0.382868") @@ -132,6 +144,7 @@ class Program_weight_tensor_parameter_11: class Program_weight_tensor_parameter_12: name = "parameter_12" + original_name = "layer_norm_26.b_0" shape = [768] dtype = "float32" min_val = float("-2.22171") @@ -143,6 +156,7 @@ class Program_weight_tensor_parameter_12: class Program_weight_tensor_parameter_13: name = "parameter_13" + original_name = "layer_norm_26.w_0" shape = [768] dtype = "float32" min_val = float("0.00866107") @@ -154,6 +168,7 @@ class Program_weight_tensor_parameter_13: class Program_weight_tensor_parameter_14: name = "parameter_14" + original_name = "linear_46.b_0" shape = [768] dtype = "float32" min_val = float("-1.74388") @@ -165,6 +180,7 @@ class Program_weight_tensor_parameter_14: class Program_weight_tensor_parameter_15: name = "parameter_15" + original_name = "linear_46.w_0" shape = [3072, 768] dtype = "float32" min_val = float("-1.36221") @@ -176,6 +192,7 @@ class Program_weight_tensor_parameter_15: class Program_weight_tensor_parameter_16: name = "parameter_16" + original_name = "linear_45.b_0" shape = [3072] dtype = "float32" min_val = float("-0.818577") @@ -187,6 +204,7 @@ class Program_weight_tensor_parameter_16: class Program_weight_tensor_parameter_17: name = "parameter_17" + original_name = "linear_45.w_0" shape = [768, 3072] dtype = "float32" min_val = float("-0.373609") @@ -198,6 +216,7 @@ class Program_weight_tensor_parameter_17: class Program_weight_tensor_parameter_18: name = "parameter_18" + original_name = "layer_norm_25.b_0" shape = [768] dtype = "float32" min_val = float("-2.63537") @@ -209,6 +228,7 @@ class Program_weight_tensor_parameter_18: class Program_weight_tensor_parameter_19: name = "parameter_19" + original_name = "layer_norm_25.w_0" shape = [768] dtype = "float32" min_val = float("-0.184595") @@ -220,6 +240,7 @@ class Program_weight_tensor_parameter_19: class Program_weight_tensor_parameter_20: name = "parameter_20" + original_name = "linear_44.b_0" shape = [768] dtype = "float32" min_val = float("-3.71362") @@ -231,6 +252,7 @@ class Program_weight_tensor_parameter_20: class Program_weight_tensor_parameter_21: name = "parameter_21" + original_name = "linear_44.w_0" shape = [768, 768] dtype = "float32" min_val = float("-0.808131") @@ -242,6 +264,7 @@ class Program_weight_tensor_parameter_21: class Program_weight_tensor_parameter_22: name = "parameter_22" + original_name = "linear_43.b_0" shape = [2304] dtype = "float32" min_val = float("-2.11018") @@ -253,6 +276,7 @@ class Program_weight_tensor_parameter_22: class Program_weight_tensor_parameter_23: name = "parameter_23" + original_name = "linear_43.w_0" shape = [768, 2304] dtype = "float32" min_val = float("-0.276141") @@ -264,6 +288,7 @@ class Program_weight_tensor_parameter_23: class Program_weight_tensor_parameter_24: name = "parameter_24" + original_name = "layer_norm_24.b_0" shape = [768] dtype = "float32" min_val = float("-1.36685") @@ -275,6 +300,7 @@ class Program_weight_tensor_parameter_24: class Program_weight_tensor_parameter_25: name = "parameter_25" + original_name = "layer_norm_24.w_0" shape = [768] dtype = "float32" min_val = float("-0.00405681") @@ -286,6 +312,7 @@ class Program_weight_tensor_parameter_25: class Program_weight_tensor_parameter_26: name = "parameter_26" + original_name = "layer_norm_30.b_0" shape = [384] dtype = "float32" min_val = float("-0.141366") @@ -297,6 +324,7 @@ class Program_weight_tensor_parameter_26: class Program_weight_tensor_parameter_27: name = "parameter_27" + original_name = "layer_norm_30.w_0" shape = [384] dtype = "float32" min_val = float("0.568525") @@ -308,6 +336,7 @@ class Program_weight_tensor_parameter_27: class Program_weight_tensor_parameter_28: name = "parameter_28" + original_name = "linear_42.w_0" shape = [1536, 768] dtype = "float32" min_val = float("-0.710244") @@ -319,6 +348,7 @@ class Program_weight_tensor_parameter_28: class Program_weight_tensor_parameter_29: name = "parameter_29" + original_name = "layer_norm_23.b_0" shape = [1536] dtype = "float32" min_val = float("-0.495965") @@ -330,6 +360,7 @@ class Program_weight_tensor_parameter_29: class Program_weight_tensor_parameter_30: name = "parameter_30" + original_name = "layer_norm_23.w_0" shape = [1536] dtype = "float32" min_val = float("0.04972") @@ -341,6 +372,7 @@ class Program_weight_tensor_parameter_30: class Program_weight_tensor_parameter_31: name = "parameter_31" + original_name = "linear_41.b_0" shape = [384] dtype = "float32" min_val = float("-0.573887") @@ -352,6 +384,7 @@ class Program_weight_tensor_parameter_31: class Program_weight_tensor_parameter_32: name = "parameter_32" + original_name = "linear_41.w_0" shape = [1536, 384] dtype = "float32" min_val = float("-1.25328") @@ -363,6 +396,7 @@ class Program_weight_tensor_parameter_32: class Program_weight_tensor_parameter_33: name = "parameter_33" + original_name = "linear_40.b_0" shape = [1536] dtype = "float32" min_val = float("-2.81387") @@ -374,6 +408,7 @@ class Program_weight_tensor_parameter_33: class Program_weight_tensor_parameter_34: name = "parameter_34" + original_name = "linear_40.w_0" shape = [384, 1536] dtype = "float32" min_val = float("-0.561875") @@ -385,6 +420,7 @@ class Program_weight_tensor_parameter_34: class Program_weight_tensor_parameter_35: name = "parameter_35" + original_name = "layer_norm_22.b_0" shape = [384] dtype = "float32" min_val = float("-1.59367") @@ -396,6 +432,7 @@ class Program_weight_tensor_parameter_35: class Program_weight_tensor_parameter_36: name = "parameter_36" + original_name = "layer_norm_22.w_0" shape = [384] dtype = "float32" min_val = float("0.229563") @@ -407,6 +444,7 @@ class Program_weight_tensor_parameter_36: class Program_weight_tensor_parameter_37: name = "parameter_37" + original_name = "linear_39.b_0" shape = [384] dtype = "float32" min_val = float("-0.65046") @@ -418,6 +456,7 @@ class Program_weight_tensor_parameter_37: class Program_weight_tensor_parameter_38: name = "parameter_38" + original_name = "linear_39.w_0" shape = [384, 384] dtype = "float32" min_val = float("-0.418149") @@ -429,6 +468,7 @@ class Program_weight_tensor_parameter_38: class Program_weight_tensor_parameter_39: name = "parameter_39" + original_name = "linear_38.b_0" shape = [1152] dtype = "float32" min_val = float("-1.4413") @@ -440,6 +480,7 @@ class Program_weight_tensor_parameter_39: class Program_weight_tensor_parameter_40: name = "parameter_40" + original_name = "linear_38.w_0" shape = [384, 1152] dtype = "float32" min_val = float("-0.342837") @@ -451,6 +492,7 @@ class Program_weight_tensor_parameter_40: class Program_weight_tensor_parameter_41: name = "parameter_41" + original_name = "layer_norm_21.b_0" shape = [384] dtype = "float32" min_val = float("-1.39739") @@ -462,6 +504,7 @@ class Program_weight_tensor_parameter_41: class Program_weight_tensor_parameter_42: name = "parameter_42" + original_name = "layer_norm_21.w_0" shape = [384] dtype = "float32" min_val = float("0.222464") @@ -473,6 +516,7 @@ class Program_weight_tensor_parameter_42: class Program_weight_tensor_parameter_43: name = "parameter_43" + original_name = "linear_37.b_0" shape = [384] dtype = "float32" min_val = float("-0.583297") @@ -484,6 +528,7 @@ class Program_weight_tensor_parameter_43: class Program_weight_tensor_parameter_44: name = "parameter_44" + original_name = "linear_37.w_0" shape = [1536, 384] dtype = "float32" min_val = float("-2.38054") @@ -495,6 +540,7 @@ class Program_weight_tensor_parameter_44: class Program_weight_tensor_parameter_45: name = "parameter_45" + original_name = "linear_36.b_0" shape = [1536] dtype = "float32" min_val = float("-2.0459") @@ -506,6 +552,7 @@ class Program_weight_tensor_parameter_45: class Program_weight_tensor_parameter_46: name = "parameter_46" + original_name = "linear_36.w_0" shape = [384, 1536] dtype = "float32" min_val = float("-0.431213") @@ -517,6 +564,7 @@ class Program_weight_tensor_parameter_46: class Program_weight_tensor_parameter_47: name = "parameter_47" + original_name = "layer_norm_20.b_0" shape = [384] dtype = "float32" min_val = float("-1.30487") @@ -528,6 +576,7 @@ class Program_weight_tensor_parameter_47: class Program_weight_tensor_parameter_48: name = "parameter_48" + original_name = "layer_norm_20.w_0" shape = [384] dtype = "float32" min_val = float("0.22641") @@ -539,6 +588,7 @@ class Program_weight_tensor_parameter_48: class Program_weight_tensor_parameter_49: name = "parameter_49" + original_name = "linear_35.b_0" shape = [384] dtype = "float32" min_val = float("-0.767002") @@ -550,6 +600,7 @@ class Program_weight_tensor_parameter_49: class Program_weight_tensor_parameter_50: name = "parameter_50" + original_name = "linear_35.w_0" shape = [384, 384] dtype = "float32" min_val = float("-0.359323") @@ -561,6 +612,7 @@ class Program_weight_tensor_parameter_50: class Program_weight_tensor_parameter_51: name = "parameter_51" + original_name = "linear_34.b_0" shape = [1152] dtype = "float32" min_val = float("-2.19963") @@ -572,6 +624,7 @@ class Program_weight_tensor_parameter_51: class Program_weight_tensor_parameter_52: name = "parameter_52" + original_name = "linear_34.w_0" shape = [384, 1152] dtype = "float32" min_val = float("-0.334977") @@ -583,6 +636,7 @@ class Program_weight_tensor_parameter_52: class Program_weight_tensor_parameter_53: name = "parameter_53" + original_name = "layer_norm_19.b_0" shape = [384] dtype = "float32" min_val = float("-1.07046") @@ -594,6 +648,7 @@ class Program_weight_tensor_parameter_53: class Program_weight_tensor_parameter_54: name = "parameter_54" + original_name = "layer_norm_19.w_0" shape = [384] dtype = "float32" min_val = float("0.284299") @@ -605,6 +660,7 @@ class Program_weight_tensor_parameter_54: class Program_weight_tensor_parameter_55: name = "parameter_55" + original_name = "linear_33.b_0" shape = [384] dtype = "float32" min_val = float("-0.433301") @@ -616,6 +672,7 @@ class Program_weight_tensor_parameter_55: class Program_weight_tensor_parameter_56: name = "parameter_56" + original_name = "linear_33.w_0" shape = [1536, 384] dtype = "float32" min_val = float("-1.82147") @@ -627,6 +684,7 @@ class Program_weight_tensor_parameter_56: class Program_weight_tensor_parameter_57: name = "parameter_57" + original_name = "linear_32.b_0" shape = [1536] dtype = "float32" min_val = float("-1.51168") @@ -638,6 +696,7 @@ class Program_weight_tensor_parameter_57: class Program_weight_tensor_parameter_58: name = "parameter_58" + original_name = "linear_32.w_0" shape = [384, 1536] dtype = "float32" min_val = float("-0.232466") @@ -649,6 +708,7 @@ class Program_weight_tensor_parameter_58: class Program_weight_tensor_parameter_59: name = "parameter_59" + original_name = "layer_norm_18.b_0" shape = [384] dtype = "float32" min_val = float("-1.15625") @@ -660,6 +720,7 @@ class Program_weight_tensor_parameter_59: class Program_weight_tensor_parameter_60: name = "parameter_60" + original_name = "layer_norm_18.w_0" shape = [384] dtype = "float32" min_val = float("0.272542") @@ -671,6 +732,7 @@ class Program_weight_tensor_parameter_60: class Program_weight_tensor_parameter_61: name = "parameter_61" + original_name = "linear_31.b_0" shape = [384] dtype = "float32" min_val = float("-0.401789") @@ -682,6 +744,7 @@ class Program_weight_tensor_parameter_61: class Program_weight_tensor_parameter_62: name = "parameter_62" + original_name = "linear_31.w_0" shape = [384, 384] dtype = "float32" min_val = float("-0.293648") @@ -693,6 +756,7 @@ class Program_weight_tensor_parameter_62: class Program_weight_tensor_parameter_63: name = "parameter_63" + original_name = "linear_30.b_0" shape = [1152] dtype = "float32" min_val = float("-1.55252") @@ -704,6 +768,7 @@ class Program_weight_tensor_parameter_63: class Program_weight_tensor_parameter_64: name = "parameter_64" + original_name = "linear_30.w_0" shape = [384, 1152] dtype = "float32" min_val = float("-0.442443") @@ -715,6 +780,7 @@ class Program_weight_tensor_parameter_64: class Program_weight_tensor_parameter_65: name = "parameter_65" + original_name = "layer_norm_17.b_0" shape = [384] dtype = "float32" min_val = float("-0.937845") @@ -726,6 +792,7 @@ class Program_weight_tensor_parameter_65: class Program_weight_tensor_parameter_66: name = "parameter_66" + original_name = "layer_norm_17.w_0" shape = [384] dtype = "float32" min_val = float("0.312443") @@ -737,6 +804,7 @@ class Program_weight_tensor_parameter_66: class Program_weight_tensor_parameter_67: name = "parameter_67" + original_name = "linear_29.b_0" shape = [384] dtype = "float32" min_val = float("-0.354627") @@ -748,6 +816,7 @@ class Program_weight_tensor_parameter_67: class Program_weight_tensor_parameter_68: name = "parameter_68" + original_name = "linear_29.w_0" shape = [1536, 384] dtype = "float32" min_val = float("-1.14078") @@ -759,6 +828,7 @@ class Program_weight_tensor_parameter_68: class Program_weight_tensor_parameter_69: name = "parameter_69" + original_name = "linear_28.b_0" shape = [1536] dtype = "float32" min_val = float("-1.08429") @@ -770,6 +840,7 @@ class Program_weight_tensor_parameter_69: class Program_weight_tensor_parameter_70: name = "parameter_70" + original_name = "linear_28.w_0" shape = [384, 1536] dtype = "float32" min_val = float("-0.236862") @@ -781,6 +852,7 @@ class Program_weight_tensor_parameter_70: class Program_weight_tensor_parameter_71: name = "parameter_71" + original_name = "layer_norm_16.b_0" shape = [384] dtype = "float32" min_val = float("-1.23882") @@ -792,6 +864,7 @@ class Program_weight_tensor_parameter_71: class Program_weight_tensor_parameter_72: name = "parameter_72" + original_name = "layer_norm_16.w_0" shape = [384] dtype = "float32" min_val = float("0.279653") @@ -803,6 +876,7 @@ class Program_weight_tensor_parameter_72: class Program_weight_tensor_parameter_73: name = "parameter_73" + original_name = "linear_27.b_0" shape = [384] dtype = "float32" min_val = float("-0.644428") @@ -814,6 +888,7 @@ class Program_weight_tensor_parameter_73: class Program_weight_tensor_parameter_74: name = "parameter_74" + original_name = "linear_27.w_0" shape = [384, 384] dtype = "float32" min_val = float("-0.236666") @@ -825,6 +900,7 @@ class Program_weight_tensor_parameter_74: class Program_weight_tensor_parameter_75: name = "parameter_75" + original_name = "linear_26.b_0" shape = [1152] dtype = "float32" min_val = float("-1.56019") @@ -836,6 +912,7 @@ class Program_weight_tensor_parameter_75: class Program_weight_tensor_parameter_76: name = "parameter_76" + original_name = "linear_26.w_0" shape = [384, 1152] dtype = "float32" min_val = float("-0.397211") @@ -847,6 +924,7 @@ class Program_weight_tensor_parameter_76: class Program_weight_tensor_parameter_77: name = "parameter_77" + original_name = "layer_norm_15.b_0" shape = [384] dtype = "float32" min_val = float("-0.754481") @@ -858,6 +936,7 @@ class Program_weight_tensor_parameter_77: class Program_weight_tensor_parameter_78: name = "parameter_78" + original_name = "layer_norm_15.w_0" shape = [384] dtype = "float32" min_val = float("0.281965") @@ -869,6 +948,7 @@ class Program_weight_tensor_parameter_78: class Program_weight_tensor_parameter_79: name = "parameter_79" + original_name = "linear_25.b_0" shape = [384] dtype = "float32" min_val = float("-0.384184") @@ -880,6 +960,7 @@ class Program_weight_tensor_parameter_79: class Program_weight_tensor_parameter_80: name = "parameter_80" + original_name = "linear_25.w_0" shape = [1536, 384] dtype = "float32" min_val = float("-0.571151") @@ -891,6 +972,7 @@ class Program_weight_tensor_parameter_80: class Program_weight_tensor_parameter_81: name = "parameter_81" + original_name = "linear_24.b_0" shape = [1536] dtype = "float32" min_val = float("-1.19725") @@ -902,6 +984,7 @@ class Program_weight_tensor_parameter_81: class Program_weight_tensor_parameter_82: name = "parameter_82" + original_name = "linear_24.w_0" shape = [384, 1536] dtype = "float32" min_val = float("-0.263039") @@ -913,6 +996,7 @@ class Program_weight_tensor_parameter_82: class Program_weight_tensor_parameter_83: name = "parameter_83" + original_name = "layer_norm_14.b_0" shape = [384] dtype = "float32" min_val = float("-1.20586") @@ -924,6 +1008,7 @@ class Program_weight_tensor_parameter_83: class Program_weight_tensor_parameter_84: name = "parameter_84" + original_name = "layer_norm_14.w_0" shape = [384] dtype = "float32" min_val = float("0.293684") @@ -935,6 +1020,7 @@ class Program_weight_tensor_parameter_84: class Program_weight_tensor_parameter_85: name = "parameter_85" + original_name = "linear_23.b_0" shape = [384] dtype = "float32" min_val = float("-0.406677") @@ -946,6 +1032,7 @@ class Program_weight_tensor_parameter_85: class Program_weight_tensor_parameter_86: name = "parameter_86" + original_name = "linear_23.w_0" shape = [384, 384] dtype = "float32" min_val = float("-0.211905") @@ -957,6 +1044,7 @@ class Program_weight_tensor_parameter_86: class Program_weight_tensor_parameter_87: name = "parameter_87" + original_name = "linear_22.b_0" shape = [1152] dtype = "float32" min_val = float("-1.56963") @@ -968,6 +1056,7 @@ class Program_weight_tensor_parameter_87: class Program_weight_tensor_parameter_88: name = "parameter_88" + original_name = "linear_22.w_0" shape = [384, 1152] dtype = "float32" min_val = float("-0.482257") @@ -979,6 +1068,7 @@ class Program_weight_tensor_parameter_88: class Program_weight_tensor_parameter_89: name = "parameter_89" + original_name = "layer_norm_13.b_0" shape = [384] dtype = "float32" min_val = float("-0.692796") @@ -990,6 +1080,7 @@ class Program_weight_tensor_parameter_89: class Program_weight_tensor_parameter_90: name = "parameter_90" + original_name = "layer_norm_13.w_0" shape = [384] dtype = "float32" min_val = float("0.258539") @@ -1001,6 +1092,7 @@ class Program_weight_tensor_parameter_90: class Program_weight_tensor_parameter_91: name = "parameter_91" + original_name = "linear_21.b_0" shape = [384] dtype = "float32" min_val = float("-0.755557") @@ -1012,6 +1104,7 @@ class Program_weight_tensor_parameter_91: class Program_weight_tensor_parameter_92: name = "parameter_92" + original_name = "linear_21.w_0" shape = [1536, 384] dtype = "float32" min_val = float("-0.26178") @@ -1023,6 +1116,7 @@ class Program_weight_tensor_parameter_92: class Program_weight_tensor_parameter_93: name = "parameter_93" + original_name = "linear_20.b_0" shape = [1536] dtype = "float32" min_val = float("-1.29827") @@ -1034,6 +1128,7 @@ class Program_weight_tensor_parameter_93: class Program_weight_tensor_parameter_94: name = "parameter_94" + original_name = "linear_20.w_0" shape = [384, 1536] dtype = "float32" min_val = float("-0.255692") @@ -1045,6 +1140,7 @@ class Program_weight_tensor_parameter_94: class Program_weight_tensor_parameter_95: name = "parameter_95" + original_name = "layer_norm_12.b_0" shape = [384] dtype = "float32" min_val = float("-1.18388") @@ -1056,6 +1152,7 @@ class Program_weight_tensor_parameter_95: class Program_weight_tensor_parameter_96: name = "parameter_96" + original_name = "layer_norm_12.w_0" shape = [384] dtype = "float32" min_val = float("-0.000973684") @@ -1067,6 +1164,7 @@ class Program_weight_tensor_parameter_96: class Program_weight_tensor_parameter_97: name = "parameter_97" + original_name = "linear_19.b_0" shape = [384] dtype = "float32" min_val = float("-0.788606") @@ -1078,6 +1176,7 @@ class Program_weight_tensor_parameter_97: class Program_weight_tensor_parameter_98: name = "parameter_98" + original_name = "linear_19.w_0" shape = [384, 384] dtype = "float32" min_val = float("-0.383635") @@ -1089,6 +1188,7 @@ class Program_weight_tensor_parameter_98: class Program_weight_tensor_parameter_99: name = "parameter_99" + original_name = "linear_18.b_0" shape = [1152] dtype = "float32" min_val = float("-1.74415") @@ -1100,6 +1200,7 @@ class Program_weight_tensor_parameter_99: class Program_weight_tensor_parameter_100: name = "parameter_100" + original_name = "linear_18.w_0" shape = [384, 1152] dtype = "float32" min_val = float("-0.328353") @@ -1111,6 +1212,7 @@ class Program_weight_tensor_parameter_100: class Program_weight_tensor_parameter_101: name = "parameter_101" + original_name = "layer_norm_11.b_0" shape = [384] dtype = "float32" min_val = float("-0.469447") @@ -1122,6 +1224,7 @@ class Program_weight_tensor_parameter_101: class Program_weight_tensor_parameter_102: name = "parameter_102" + original_name = "layer_norm_11.w_0" shape = [384] dtype = "float32" min_val = float("-0.00110878") @@ -1133,6 +1236,7 @@ class Program_weight_tensor_parameter_102: class Program_weight_tensor_parameter_103: name = "parameter_103" + original_name = "layer_norm_29.b_0" shape = [192] dtype = "float32" min_val = float("-0.074831") @@ -1144,6 +1248,7 @@ class Program_weight_tensor_parameter_103: class Program_weight_tensor_parameter_104: name = "parameter_104" + original_name = "layer_norm_29.w_0" shape = [192] dtype = "float32" min_val = float("0.536004") @@ -1155,6 +1260,7 @@ class Program_weight_tensor_parameter_104: class Program_weight_tensor_parameter_105: name = "parameter_105" + original_name = "linear_17.w_0" shape = [768, 384] dtype = "float32" min_val = float("-0.181326") @@ -1166,6 +1272,7 @@ class Program_weight_tensor_parameter_105: class Program_weight_tensor_parameter_106: name = "parameter_106" + original_name = "layer_norm_10.b_0" shape = [768] dtype = "float32" min_val = float("-0.769858") @@ -1177,6 +1284,7 @@ class Program_weight_tensor_parameter_106: class Program_weight_tensor_parameter_107: name = "parameter_107" + original_name = "layer_norm_10.w_0" shape = [768] dtype = "float32" min_val = float("0.14506") @@ -1188,6 +1296,7 @@ class Program_weight_tensor_parameter_107: class Program_weight_tensor_parameter_108: name = "parameter_108" + original_name = "linear_16.b_0" shape = [192] dtype = "float32" min_val = float("-0.531828") @@ -1199,6 +1308,7 @@ class Program_weight_tensor_parameter_108: class Program_weight_tensor_parameter_109: name = "parameter_109" + original_name = "linear_16.w_0" shape = [768, 192] dtype = "float32" min_val = float("-0.331664") @@ -1210,6 +1320,7 @@ class Program_weight_tensor_parameter_109: class Program_weight_tensor_parameter_110: name = "parameter_110" + original_name = "linear_15.b_0" shape = [768] dtype = "float32" min_val = float("-1.22841") @@ -1221,6 +1332,7 @@ class Program_weight_tensor_parameter_110: class Program_weight_tensor_parameter_111: name = "parameter_111" + original_name = "linear_15.w_0" shape = [192, 768] dtype = "float32" min_val = float("-0.337807") @@ -1232,6 +1344,7 @@ class Program_weight_tensor_parameter_111: class Program_weight_tensor_parameter_112: name = "parameter_112" + original_name = "layer_norm_9.b_0" shape = [192] dtype = "float32" min_val = float("-1.13742") @@ -1243,6 +1356,7 @@ class Program_weight_tensor_parameter_112: class Program_weight_tensor_parameter_113: name = "parameter_113" + original_name = "layer_norm_9.w_0" shape = [192] dtype = "float32" min_val = float("0.689568") @@ -1254,6 +1368,7 @@ class Program_weight_tensor_parameter_113: class Program_weight_tensor_parameter_114: name = "parameter_114" + original_name = "linear_14.b_0" shape = [192] dtype = "float32" min_val = float("-0.400887") @@ -1265,6 +1380,7 @@ class Program_weight_tensor_parameter_114: class Program_weight_tensor_parameter_115: name = "parameter_115" + original_name = "linear_14.w_0" shape = [192, 192] dtype = "float32" min_val = float("-0.204488") @@ -1276,6 +1392,7 @@ class Program_weight_tensor_parameter_115: class Program_weight_tensor_parameter_116: name = "parameter_116" + original_name = "linear_13.b_0" shape = [576] dtype = "float32" min_val = float("-1.41262") @@ -1287,6 +1404,7 @@ class Program_weight_tensor_parameter_116: class Program_weight_tensor_parameter_117: name = "parameter_117" + original_name = "linear_13.w_0" shape = [192, 576] dtype = "float32" min_val = float("-0.409732") @@ -1298,6 +1416,7 @@ class Program_weight_tensor_parameter_117: class Program_weight_tensor_parameter_118: name = "parameter_118" + original_name = "layer_norm_8.b_0" shape = [192] dtype = "float32" min_val = float("-1.36883") @@ -1309,6 +1428,7 @@ class Program_weight_tensor_parameter_118: class Program_weight_tensor_parameter_119: name = "parameter_119" + original_name = "layer_norm_8.w_0" shape = [192] dtype = "float32" min_val = float("0.300175") @@ -1320,6 +1440,7 @@ class Program_weight_tensor_parameter_119: class Program_weight_tensor_parameter_120: name = "parameter_120" + original_name = "linear_12.b_0" shape = [192] dtype = "float32" min_val = float("-0.43221") @@ -1331,6 +1452,7 @@ class Program_weight_tensor_parameter_120: class Program_weight_tensor_parameter_121: name = "parameter_121" + original_name = "linear_12.w_0" shape = [768, 192] dtype = "float32" min_val = float("-0.256229") @@ -1342,6 +1464,7 @@ class Program_weight_tensor_parameter_121: class Program_weight_tensor_parameter_122: name = "parameter_122" + original_name = "linear_11.b_0" shape = [768] dtype = "float32" min_val = float("-1.27322") @@ -1353,6 +1476,7 @@ class Program_weight_tensor_parameter_122: class Program_weight_tensor_parameter_123: name = "parameter_123" + original_name = "linear_11.w_0" shape = [192, 768] dtype = "float32" min_val = float("-0.514693") @@ -1364,6 +1488,7 @@ class Program_weight_tensor_parameter_123: class Program_weight_tensor_parameter_124: name = "parameter_124" + original_name = "layer_norm_7.b_0" shape = [192] dtype = "float32" min_val = float("-0.883769") @@ -1375,6 +1500,7 @@ class Program_weight_tensor_parameter_124: class Program_weight_tensor_parameter_125: name = "parameter_125" + original_name = "layer_norm_7.w_0" shape = [192] dtype = "float32" min_val = float("0.257292") @@ -1386,6 +1512,7 @@ class Program_weight_tensor_parameter_125: class Program_weight_tensor_parameter_126: name = "parameter_126" + original_name = "linear_10.b_0" shape = [192] dtype = "float32" min_val = float("-0.37044") @@ -1397,6 +1524,7 @@ class Program_weight_tensor_parameter_126: class Program_weight_tensor_parameter_127: name = "parameter_127" + original_name = "linear_10.w_0" shape = [192, 192] dtype = "float32" min_val = float("-0.185597") @@ -1408,6 +1536,7 @@ class Program_weight_tensor_parameter_127: class Program_weight_tensor_parameter_128: name = "parameter_128" + original_name = "linear_9.b_0" shape = [576] dtype = "float32" min_val = float("-1.44885") @@ -1419,6 +1548,7 @@ class Program_weight_tensor_parameter_128: class Program_weight_tensor_parameter_129: name = "parameter_129" + original_name = "linear_9.w_0" shape = [192, 576] dtype = "float32" min_val = float("-0.300921") @@ -1430,6 +1560,7 @@ class Program_weight_tensor_parameter_129: class Program_weight_tensor_parameter_130: name = "parameter_130" + original_name = "layer_norm_6.b_0" shape = [192] dtype = "float32" min_val = float("-0.790131") @@ -1441,6 +1572,7 @@ class Program_weight_tensor_parameter_130: class Program_weight_tensor_parameter_131: name = "parameter_131" + original_name = "layer_norm_6.w_0" shape = [192] dtype = "float32" min_val = float("0.229522") @@ -1452,6 +1584,7 @@ class Program_weight_tensor_parameter_131: class Program_weight_tensor_parameter_132: name = "parameter_132" + original_name = "layer_norm_28.b_0" shape = [96] dtype = "float32" min_val = float("-0.0532949") @@ -1463,6 +1596,7 @@ class Program_weight_tensor_parameter_132: class Program_weight_tensor_parameter_133: name = "parameter_133" + original_name = "layer_norm_28.w_0" shape = [96] dtype = "float32" min_val = float("0.533986") @@ -1474,6 +1608,7 @@ class Program_weight_tensor_parameter_133: class Program_weight_tensor_parameter_134: name = "parameter_134" + original_name = "linear_8.w_0" shape = [384, 192] dtype = "float32" min_val = float("-0.155877") @@ -1485,6 +1620,7 @@ class Program_weight_tensor_parameter_134: class Program_weight_tensor_parameter_135: name = "parameter_135" + original_name = "layer_norm_5.b_0" shape = [384] dtype = "float32" min_val = float("-0.619866") @@ -1496,6 +1632,7 @@ class Program_weight_tensor_parameter_135: class Program_weight_tensor_parameter_136: name = "parameter_136" + original_name = "layer_norm_5.w_0" shape = [384] dtype = "float32" min_val = float("0.216642") @@ -1507,6 +1644,7 @@ class Program_weight_tensor_parameter_136: class Program_weight_tensor_parameter_137: name = "parameter_137" + original_name = "linear_7.b_0" shape = [96] dtype = "float32" min_val = float("-1.05803") @@ -1518,6 +1656,7 @@ class Program_weight_tensor_parameter_137: class Program_weight_tensor_parameter_138: name = "parameter_138" + original_name = "linear_7.w_0" shape = [384, 96] dtype = "float32" min_val = float("-0.42408") @@ -1529,6 +1668,7 @@ class Program_weight_tensor_parameter_138: class Program_weight_tensor_parameter_139: name = "parameter_139" + original_name = "linear_6.b_0" shape = [384] dtype = "float32" min_val = float("-1.18076") @@ -1540,6 +1680,7 @@ class Program_weight_tensor_parameter_139: class Program_weight_tensor_parameter_140: name = "parameter_140" + original_name = "linear_6.w_0" shape = [96, 384] dtype = "float32" min_val = float("-0.342763") @@ -1551,6 +1692,7 @@ class Program_weight_tensor_parameter_140: class Program_weight_tensor_parameter_141: name = "parameter_141" + original_name = "layer_norm_4.b_0" shape = [96] dtype = "float32" min_val = float("-0.635538") @@ -1562,6 +1704,7 @@ class Program_weight_tensor_parameter_141: class Program_weight_tensor_parameter_142: name = "parameter_142" + original_name = "layer_norm_4.w_0" shape = [96] dtype = "float32" min_val = float("0.394198") @@ -1573,6 +1716,7 @@ class Program_weight_tensor_parameter_142: class Program_weight_tensor_parameter_143: name = "parameter_143" + original_name = "linear_5.b_0" shape = [96] dtype = "float32" min_val = float("-0.300342") @@ -1584,6 +1728,7 @@ class Program_weight_tensor_parameter_143: class Program_weight_tensor_parameter_144: name = "parameter_144" + original_name = "linear_5.w_0" shape = [96, 96] dtype = "float32" min_val = float("-0.266905") @@ -1595,6 +1740,7 @@ class Program_weight_tensor_parameter_144: class Program_weight_tensor_parameter_145: name = "parameter_145" + original_name = "linear_4.b_0" shape = [288] dtype = "float32" min_val = float("-1.24375") @@ -1606,6 +1752,7 @@ class Program_weight_tensor_parameter_145: class Program_weight_tensor_parameter_146: name = "parameter_146" + original_name = "linear_4.w_0" shape = [96, 288] dtype = "float32" min_val = float("-0.330478") @@ -1617,6 +1764,7 @@ class Program_weight_tensor_parameter_146: class Program_weight_tensor_parameter_147: name = "parameter_147" + original_name = "layer_norm_3.b_0" shape = [96] dtype = "float32" min_val = float("-0.958977") @@ -1628,6 +1776,7 @@ class Program_weight_tensor_parameter_147: class Program_weight_tensor_parameter_148: name = "parameter_148" + original_name = "layer_norm_3.w_0" shape = [96] dtype = "float32" min_val = float("0.257012") @@ -1639,6 +1788,7 @@ class Program_weight_tensor_parameter_148: class Program_weight_tensor_parameter_149: name = "parameter_149" + original_name = "linear_3.b_0" shape = [96] dtype = "float32" min_val = float("-1.42525") @@ -1650,6 +1800,7 @@ class Program_weight_tensor_parameter_149: class Program_weight_tensor_parameter_150: name = "parameter_150" + original_name = "linear_3.w_0" shape = [384, 96] dtype = "float32" min_val = float("-0.340986") @@ -1661,6 +1812,7 @@ class Program_weight_tensor_parameter_150: class Program_weight_tensor_parameter_151: name = "parameter_151" + original_name = "linear_2.b_0" shape = [384] dtype = "float32" min_val = float("-1.43489") @@ -1672,6 +1824,7 @@ class Program_weight_tensor_parameter_151: class Program_weight_tensor_parameter_152: name = "parameter_152" + original_name = "linear_2.w_0" shape = [96, 384] dtype = "float32" min_val = float("-0.397543") @@ -1683,6 +1836,7 @@ class Program_weight_tensor_parameter_152: class Program_weight_tensor_parameter_153: name = "parameter_153" + original_name = "layer_norm_2.b_0" shape = [96] dtype = "float32" min_val = float("-0.787766") @@ -1694,6 +1848,7 @@ class Program_weight_tensor_parameter_153: class Program_weight_tensor_parameter_154: name = "parameter_154" + original_name = "layer_norm_2.w_0" shape = [96] dtype = "float32" min_val = float("0.437761") @@ -1705,6 +1860,7 @@ class Program_weight_tensor_parameter_154: class Program_weight_tensor_parameter_155: name = "parameter_155" + original_name = "linear_1.b_0" shape = [96] dtype = "float32" min_val = float("-0.455284") @@ -1716,6 +1872,7 @@ class Program_weight_tensor_parameter_155: class Program_weight_tensor_parameter_156: name = "parameter_156" + original_name = "linear_1.w_0" shape = [96, 96] dtype = "float32" min_val = float("-0.272615") @@ -1727,6 +1884,7 @@ class Program_weight_tensor_parameter_156: class Program_weight_tensor_parameter_157: name = "parameter_157" + original_name = "linear_0.b_0" shape = [288] dtype = "float32" min_val = float("-1.33195") @@ -1738,6 +1896,7 @@ class Program_weight_tensor_parameter_157: class Program_weight_tensor_parameter_158: name = "parameter_158" + original_name = "linear_0.w_0" shape = [96, 288] dtype = "float32" min_val = float("-0.544212") @@ -1749,6 +1908,7 @@ class Program_weight_tensor_parameter_158: class Program_weight_tensor_parameter_159: name = "parameter_159" + original_name = "layer_norm_1.b_0" shape = [96] dtype = "float32" min_val = float("-0.588848") @@ -1760,6 +1920,7 @@ class Program_weight_tensor_parameter_159: class Program_weight_tensor_parameter_160: name = "parameter_160" + original_name = "layer_norm_1.w_0" shape = [96] dtype = "float32" min_val = float("-0.000809221") @@ -1771,6 +1932,7 @@ class Program_weight_tensor_parameter_160: class Program_weight_tensor_parameter_161: name = "parameter_161" + original_name = "layer_norm_0.b_0" shape = [96] dtype = "float32" min_val = float("-0.713992") @@ -1782,6 +1944,7 @@ class Program_weight_tensor_parameter_161: class Program_weight_tensor_parameter_162: name = "parameter_162" + original_name = "layer_norm_0.w_0" shape = [96] dtype = "float32" min_val = float("-0.0182045") @@ -1793,6 +1956,7 @@ class Program_weight_tensor_parameter_162: class Program_weight_tensor_parameter_163: name = "parameter_163" + original_name = "conv2d_0.b_0" shape = [96] dtype = "float32" min_val = float("-0.979757") @@ -1804,6 +1968,7 @@ class Program_weight_tensor_parameter_163: class Program_weight_tensor_parameter_164: name = "parameter_164" + original_name = "conv2d_0.w_0" shape = [96, 3, 4, 4] dtype = "float32" min_val = float("-0.239188") diff --git a/paddle_samples/PaddleX/MobileNetV4_conv_medium/subgraph_0/input_meta.py b/paddle_samples/PaddleX/MobileNetV4_conv_medium/subgraph_0/input_meta.py index 30e642c0d..5db5991b1 100644 --- a/paddle_samples/PaddleX/MobileNetV4_conv_medium/subgraph_0/input_meta.py +++ b/paddle_samples/PaddleX/MobileNetV4_conv_medium/subgraph_0/input_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_data_0: name = "data_0" + original_name = "var_359" shape = [124, 3, 256, 256] dtype = "float32" min_val = float("-4.82939") diff --git a/paddle_samples/PaddleX/MobileNetV4_conv_medium/subgraph_0/weight_meta.py b/paddle_samples/PaddleX/MobileNetV4_conv_medium/subgraph_0/weight_meta.py index e60774412..34be4f7e1 100644 --- a/paddle_samples/PaddleX/MobileNetV4_conv_medium/subgraph_0/weight_meta.py +++ b/paddle_samples/PaddleX/MobileNetV4_conv_medium/subgraph_0/weight_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_parameter_0: name = "parameter_0" + original_name = "linear_0.b_0" shape = [102] dtype = "float32" min_val = float("-0.0417919") @@ -11,6 +12,7 @@ class Program_weight_tensor_parameter_0: class Program_weight_tensor_parameter_1: name = "parameter_1" + original_name = "linear_0.w_0" shape = [1280, 102] dtype = "float32" min_val = float("-0.213076") @@ -22,6 +24,7 @@ class Program_weight_tensor_parameter_1: class Program_weight_tensor_parameter_2: name = "parameter_2" + original_name = "batch_norm_76.b_0" shape = [1280] dtype = "float32" min_val = float("-2.46676") @@ -33,6 +36,7 @@ class Program_weight_tensor_parameter_2: class Program_weight_tensor_parameter_3: name = "parameter_3" + original_name = "batch_norm_76.w_0" shape = [1280] dtype = "float32" min_val = float("0.673963") @@ -44,6 +48,7 @@ class Program_weight_tensor_parameter_3: class Program_weight_tensor_parameter_4: name = "parameter_4" + original_name = "batch_norm_76.w_2" shape = [1280] dtype = "float32" min_val = float("0.00405725") @@ -55,6 +60,7 @@ class Program_weight_tensor_parameter_4: class Program_weight_tensor_parameter_5: name = "parameter_5" + original_name = "batch_norm_76.w_1" shape = [1280] dtype = "float32" min_val = float("-0.136147") @@ -66,6 +72,7 @@ class Program_weight_tensor_parameter_5: class Program_weight_tensor_parameter_6: name = "parameter_6" + original_name = "conv2d_76.w_0" shape = [1280, 960, 1, 1] dtype = "float32" min_val = float("-0.298345") @@ -77,6 +84,7 @@ class Program_weight_tensor_parameter_6: class Program_weight_tensor_parameter_7: name = "parameter_7" + original_name = "batch_norm_75.b_0" shape = [960] dtype = "float32" min_val = float("-4.1777") @@ -88,6 +96,7 @@ class Program_weight_tensor_parameter_7: class Program_weight_tensor_parameter_8: name = "parameter_8" + original_name = "batch_norm_75.w_0" shape = [960] dtype = "float32" min_val = float("0.202702") @@ -99,6 +108,7 @@ class Program_weight_tensor_parameter_8: class Program_weight_tensor_parameter_9: name = "parameter_9" + original_name = "batch_norm_75.w_2" shape = [960] dtype = "float32" min_val = float("8.72257") @@ -110,6 +120,7 @@ class Program_weight_tensor_parameter_9: class Program_weight_tensor_parameter_10: name = "parameter_10" + original_name = "batch_norm_75.w_1" shape = [960] dtype = "float32" min_val = float("-5.86778") @@ -121,6 +132,7 @@ class Program_weight_tensor_parameter_10: class Program_weight_tensor_parameter_11: name = "parameter_11" + original_name = "conv2d_75.w_0" shape = [960, 256, 1, 1] dtype = "float32" min_val = float("-0.338598") @@ -132,6 +144,7 @@ class Program_weight_tensor_parameter_11: class Program_weight_tensor_parameter_12: name = "parameter_12" + original_name = "batch_norm_74.b_0" shape = [256] dtype = "float32" min_val = float("-2.20433") @@ -143,6 +156,7 @@ class Program_weight_tensor_parameter_12: class Program_weight_tensor_parameter_13: name = "parameter_13" + original_name = "batch_norm_74.w_0" shape = [256] dtype = "float32" min_val = float("0.493937") @@ -154,6 +168,7 @@ class Program_weight_tensor_parameter_13: class Program_weight_tensor_parameter_14: name = "parameter_14" + original_name = "batch_norm_74.w_2" shape = [256] dtype = "float32" min_val = float("0.0175491") @@ -165,6 +180,7 @@ class Program_weight_tensor_parameter_14: class Program_weight_tensor_parameter_15: name = "parameter_15" + original_name = "batch_norm_74.w_1" shape = [256] dtype = "float32" min_val = float("-0.106817") @@ -176,6 +192,7 @@ class Program_weight_tensor_parameter_15: class Program_weight_tensor_parameter_16: name = "parameter_16" + original_name = "conv2d_74.w_0" shape = [256, 512, 1, 1] dtype = "float32" min_val = float("-0.247811") @@ -187,6 +204,7 @@ class Program_weight_tensor_parameter_16: class Program_weight_tensor_parameter_17: name = "parameter_17" + original_name = "batch_norm_73.b_0" shape = [512] dtype = "float32" min_val = float("-7.78068") @@ -198,6 +216,7 @@ class Program_weight_tensor_parameter_17: class Program_weight_tensor_parameter_18: name = "parameter_18" + original_name = "batch_norm_73.w_0" shape = [512] dtype = "float32" min_val = float("0.272292") @@ -209,6 +228,7 @@ class Program_weight_tensor_parameter_18: class Program_weight_tensor_parameter_19: name = "parameter_19" + original_name = "batch_norm_73.w_2" shape = [512] dtype = "float32" min_val = float("6.86002e-19") @@ -220,6 +240,7 @@ class Program_weight_tensor_parameter_19: class Program_weight_tensor_parameter_20: name = "parameter_20" + original_name = "batch_norm_73.w_1" shape = [512] dtype = "float32" min_val = float("-1.93864") @@ -231,6 +252,7 @@ class Program_weight_tensor_parameter_20: class Program_weight_tensor_parameter_21: name = "parameter_21" + original_name = "conv2d_73.w_0" shape = [512, 256, 1, 1] dtype = "float32" min_val = float("-0.32843") @@ -242,6 +264,7 @@ class Program_weight_tensor_parameter_21: class Program_weight_tensor_parameter_22: name = "parameter_22" + original_name = "batch_norm_72.b_0" shape = [256] dtype = "float32" min_val = float("-3.28179") @@ -253,6 +276,7 @@ class Program_weight_tensor_parameter_22: class Program_weight_tensor_parameter_23: name = "parameter_23" + original_name = "batch_norm_72.w_0" shape = [256] dtype = "float32" min_val = float("0.688927") @@ -264,6 +288,7 @@ class Program_weight_tensor_parameter_23: class Program_weight_tensor_parameter_24: name = "parameter_24" + original_name = "batch_norm_72.w_2" shape = [256] dtype = "float32" min_val = float("0.473166") @@ -275,6 +300,7 @@ class Program_weight_tensor_parameter_24: class Program_weight_tensor_parameter_25: name = "parameter_25" + original_name = "batch_norm_72.w_1" shape = [256] dtype = "float32" min_val = float("-7.5734") @@ -286,6 +312,7 @@ class Program_weight_tensor_parameter_25: class Program_weight_tensor_parameter_26: name = "parameter_26" + original_name = "conv2d_72.w_0" shape = [256, 1, 5, 5] dtype = "float32" min_val = float("-0.434448") @@ -297,6 +324,7 @@ class Program_weight_tensor_parameter_26: class Program_weight_tensor_parameter_27: name = "parameter_27" + original_name = "batch_norm_71.b_0" shape = [256] dtype = "float32" min_val = float("-1.12966") @@ -308,6 +336,7 @@ class Program_weight_tensor_parameter_27: class Program_weight_tensor_parameter_28: name = "parameter_28" + original_name = "batch_norm_71.w_0" shape = [256] dtype = "float32" min_val = float("0.692899") @@ -319,6 +348,7 @@ class Program_weight_tensor_parameter_28: class Program_weight_tensor_parameter_29: name = "parameter_29" + original_name = "batch_norm_71.w_2" shape = [256] dtype = "float32" min_val = float("0.00620742") @@ -330,6 +360,7 @@ class Program_weight_tensor_parameter_29: class Program_weight_tensor_parameter_30: name = "parameter_30" + original_name = "batch_norm_71.w_1" shape = [256] dtype = "float32" min_val = float("-0.0405889") @@ -341,6 +372,7 @@ class Program_weight_tensor_parameter_30: class Program_weight_tensor_parameter_31: name = "parameter_31" + original_name = "conv2d_71.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.41556") @@ -352,6 +384,7 @@ class Program_weight_tensor_parameter_31: class Program_weight_tensor_parameter_32: name = "parameter_32" + original_name = "batch_norm_70.b_0" shape = [1024] dtype = "float32" min_val = float("-4.00836") @@ -363,6 +396,7 @@ class Program_weight_tensor_parameter_32: class Program_weight_tensor_parameter_33: name = "parameter_33" + original_name = "batch_norm_70.w_0" shape = [1024] dtype = "float32" min_val = float("0.0285159") @@ -374,6 +408,7 @@ class Program_weight_tensor_parameter_33: class Program_weight_tensor_parameter_34: name = "parameter_34" + original_name = "batch_norm_70.w_2" shape = [1024] dtype = "float32" min_val = float("1.67876e-42") @@ -385,6 +420,7 @@ class Program_weight_tensor_parameter_34: class Program_weight_tensor_parameter_35: name = "parameter_35" + original_name = "batch_norm_70.w_1" shape = [1024] dtype = "float32" min_val = float("-6.97646") @@ -396,6 +432,7 @@ class Program_weight_tensor_parameter_35: class Program_weight_tensor_parameter_36: name = "parameter_36" + original_name = "conv2d_70.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.260247") @@ -407,6 +444,7 @@ class Program_weight_tensor_parameter_36: class Program_weight_tensor_parameter_37: name = "parameter_37" + original_name = "batch_norm_69.b_0" shape = [256] dtype = "float32" min_val = float("-0.805816") @@ -418,6 +456,7 @@ class Program_weight_tensor_parameter_37: class Program_weight_tensor_parameter_38: name = "parameter_38" + original_name = "batch_norm_69.w_0" shape = [256] dtype = "float32" min_val = float("0.511367") @@ -429,6 +468,7 @@ class Program_weight_tensor_parameter_38: class Program_weight_tensor_parameter_39: name = "parameter_39" + original_name = "batch_norm_69.w_2" shape = [256] dtype = "float32" min_val = float("0.0223441") @@ -440,6 +480,7 @@ class Program_weight_tensor_parameter_39: class Program_weight_tensor_parameter_40: name = "parameter_40" + original_name = "batch_norm_69.w_1" shape = [256] dtype = "float32" min_val = float("-0.0598293") @@ -451,6 +492,7 @@ class Program_weight_tensor_parameter_40: class Program_weight_tensor_parameter_41: name = "parameter_41" + original_name = "conv2d_69.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.242781") @@ -462,6 +504,7 @@ class Program_weight_tensor_parameter_41: class Program_weight_tensor_parameter_42: name = "parameter_42" + original_name = "batch_norm_68.b_0" shape = [1024] dtype = "float32" min_val = float("-3.94656") @@ -473,6 +516,7 @@ class Program_weight_tensor_parameter_42: class Program_weight_tensor_parameter_43: name = "parameter_43" + original_name = "batch_norm_68.w_0" shape = [1024] dtype = "float32" min_val = float("0.122884") @@ -484,6 +528,7 @@ class Program_weight_tensor_parameter_43: class Program_weight_tensor_parameter_44: name = "parameter_44" + original_name = "batch_norm_68.w_2" shape = [1024] dtype = "float32" min_val = float("9.2492e-28") @@ -495,6 +540,7 @@ class Program_weight_tensor_parameter_44: class Program_weight_tensor_parameter_45: name = "parameter_45" + original_name = "batch_norm_68.w_1" shape = [1024] dtype = "float32" min_val = float("-5.95783") @@ -506,6 +552,7 @@ class Program_weight_tensor_parameter_45: class Program_weight_tensor_parameter_46: name = "parameter_46" + original_name = "conv2d_68.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.381973") @@ -517,6 +564,7 @@ class Program_weight_tensor_parameter_46: class Program_weight_tensor_parameter_47: name = "parameter_47" + original_name = "batch_norm_67.b_0" shape = [256] dtype = "float32" min_val = float("-1.94885") @@ -528,6 +576,7 @@ class Program_weight_tensor_parameter_47: class Program_weight_tensor_parameter_48: name = "parameter_48" + original_name = "batch_norm_67.w_0" shape = [256] dtype = "float32" min_val = float("0.478707") @@ -539,6 +588,7 @@ class Program_weight_tensor_parameter_48: class Program_weight_tensor_parameter_49: name = "parameter_49" + original_name = "batch_norm_67.w_2" shape = [256] dtype = "float32" min_val = float("0.41903") @@ -550,6 +600,7 @@ class Program_weight_tensor_parameter_49: class Program_weight_tensor_parameter_50: name = "parameter_50" + original_name = "batch_norm_67.w_1" shape = [256] dtype = "float32" min_val = float("-2.57923") @@ -561,6 +612,7 @@ class Program_weight_tensor_parameter_50: class Program_weight_tensor_parameter_51: name = "parameter_51" + original_name = "conv2d_67.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.287789") @@ -572,6 +624,7 @@ class Program_weight_tensor_parameter_51: class Program_weight_tensor_parameter_52: name = "parameter_52" + original_name = "batch_norm_66.b_0" shape = [1024] dtype = "float32" min_val = float("-7.23322") @@ -583,6 +636,7 @@ class Program_weight_tensor_parameter_52: class Program_weight_tensor_parameter_53: name = "parameter_53" + original_name = "batch_norm_66.w_0" shape = [1024] dtype = "float32" min_val = float("0.0108447") @@ -594,6 +648,7 @@ class Program_weight_tensor_parameter_53: class Program_weight_tensor_parameter_54: name = "parameter_54" + original_name = "batch_norm_66.w_2" shape = [1024] dtype = "float32" min_val = float("1.11824e-42") @@ -605,6 +660,7 @@ class Program_weight_tensor_parameter_54: class Program_weight_tensor_parameter_55: name = "parameter_55" + original_name = "batch_norm_66.w_1" shape = [1024] dtype = "float32" min_val = float("-0.70769") @@ -616,6 +672,7 @@ class Program_weight_tensor_parameter_55: class Program_weight_tensor_parameter_56: name = "parameter_56" + original_name = "conv2d_66.w_0" shape = [1024, 1, 5, 5] dtype = "float32" min_val = float("-0.250232") @@ -627,6 +684,7 @@ class Program_weight_tensor_parameter_56: class Program_weight_tensor_parameter_57: name = "parameter_57" + original_name = "batch_norm_65.b_0" shape = [1024] dtype = "float32" min_val = float("-2.86964") @@ -638,6 +696,7 @@ class Program_weight_tensor_parameter_57: class Program_weight_tensor_parameter_58: name = "parameter_58" + original_name = "batch_norm_65.w_0" shape = [1024] dtype = "float32" min_val = float("0.0512698") @@ -649,6 +708,7 @@ class Program_weight_tensor_parameter_58: class Program_weight_tensor_parameter_59: name = "parameter_59" + original_name = "batch_norm_65.w_2" shape = [1024] dtype = "float32" min_val = float("1.62551e-42") @@ -660,6 +720,7 @@ class Program_weight_tensor_parameter_59: class Program_weight_tensor_parameter_60: name = "parameter_60" + original_name = "batch_norm_65.w_1" shape = [1024] dtype = "float32" min_val = float("-1.53838") @@ -671,6 +732,7 @@ class Program_weight_tensor_parameter_60: class Program_weight_tensor_parameter_61: name = "parameter_61" + original_name = "conv2d_65.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.359075") @@ -682,6 +744,7 @@ class Program_weight_tensor_parameter_61: class Program_weight_tensor_parameter_62: name = "parameter_62" + original_name = "batch_norm_64.b_0" shape = [256] dtype = "float32" min_val = float("-2.52468") @@ -693,6 +756,7 @@ class Program_weight_tensor_parameter_62: class Program_weight_tensor_parameter_63: name = "parameter_63" + original_name = "batch_norm_64.w_0" shape = [256] dtype = "float32" min_val = float("0.831132") @@ -704,6 +768,7 @@ class Program_weight_tensor_parameter_63: class Program_weight_tensor_parameter_64: name = "parameter_64" + original_name = "batch_norm_64.w_2" shape = [256] dtype = "float32" min_val = float("0.0202336") @@ -715,6 +780,7 @@ class Program_weight_tensor_parameter_64: class Program_weight_tensor_parameter_65: name = "parameter_65" + original_name = "batch_norm_64.w_1" shape = [256] dtype = "float32" min_val = float("-6.36406") @@ -726,6 +792,7 @@ class Program_weight_tensor_parameter_65: class Program_weight_tensor_parameter_66: name = "parameter_66" + original_name = "conv2d_64.w_0" shape = [256, 1, 5, 5] dtype = "float32" min_val = float("-0.435062") @@ -737,6 +804,7 @@ class Program_weight_tensor_parameter_66: class Program_weight_tensor_parameter_67: name = "parameter_67" + original_name = "batch_norm_63.b_0" shape = [256] dtype = "float32" min_val = float("-1.42137") @@ -748,6 +816,7 @@ class Program_weight_tensor_parameter_67: class Program_weight_tensor_parameter_68: name = "parameter_68" + original_name = "batch_norm_63.w_0" shape = [256] dtype = "float32" min_val = float("0.215733") @@ -759,6 +828,7 @@ class Program_weight_tensor_parameter_68: class Program_weight_tensor_parameter_69: name = "parameter_69" + original_name = "batch_norm_63.w_2" shape = [256] dtype = "float32" min_val = float("0.23927") @@ -770,6 +840,7 @@ class Program_weight_tensor_parameter_69: class Program_weight_tensor_parameter_70: name = "parameter_70" + original_name = "batch_norm_63.w_1" shape = [256] dtype = "float32" min_val = float("-2.12745") @@ -781,6 +852,7 @@ class Program_weight_tensor_parameter_70: class Program_weight_tensor_parameter_71: name = "parameter_71" + original_name = "conv2d_63.w_0" shape = [256, 512, 1, 1] dtype = "float32" min_val = float("-0.298574") @@ -792,6 +864,7 @@ class Program_weight_tensor_parameter_71: class Program_weight_tensor_parameter_72: name = "parameter_72" + original_name = "batch_norm_62.b_0" shape = [512] dtype = "float32" min_val = float("-6.13272") @@ -803,6 +876,7 @@ class Program_weight_tensor_parameter_72: class Program_weight_tensor_parameter_73: name = "parameter_73" + original_name = "batch_norm_62.w_0" shape = [512] dtype = "float32" min_val = float("0.121069") @@ -814,6 +888,7 @@ class Program_weight_tensor_parameter_73: class Program_weight_tensor_parameter_74: name = "parameter_74" + original_name = "batch_norm_62.w_2" shape = [512] dtype = "float32" min_val = float("1.20372e-42") @@ -825,6 +900,7 @@ class Program_weight_tensor_parameter_74: class Program_weight_tensor_parameter_75: name = "parameter_75" + original_name = "batch_norm_62.w_1" shape = [512] dtype = "float32" min_val = float("-0.580441") @@ -836,6 +912,7 @@ class Program_weight_tensor_parameter_75: class Program_weight_tensor_parameter_76: name = "parameter_76" + original_name = "conv2d_62.w_0" shape = [512, 1, 5, 5] dtype = "float32" min_val = float("-0.229638") @@ -847,6 +924,7 @@ class Program_weight_tensor_parameter_76: class Program_weight_tensor_parameter_77: name = "parameter_77" + original_name = "batch_norm_61.b_0" shape = [512] dtype = "float32" min_val = float("-2.05501") @@ -858,6 +936,7 @@ class Program_weight_tensor_parameter_77: class Program_weight_tensor_parameter_78: name = "parameter_78" + original_name = "batch_norm_61.w_0" shape = [512] dtype = "float32" min_val = float("0.0642323") @@ -869,6 +948,7 @@ class Program_weight_tensor_parameter_78: class Program_weight_tensor_parameter_79: name = "parameter_79" + original_name = "batch_norm_61.w_2" shape = [512] dtype = "float32" min_val = float("1.67876e-42") @@ -880,6 +960,7 @@ class Program_weight_tensor_parameter_79: class Program_weight_tensor_parameter_80: name = "parameter_80" + original_name = "batch_norm_61.w_1" shape = [512] dtype = "float32" min_val = float("-1.54186") @@ -891,6 +972,7 @@ class Program_weight_tensor_parameter_80: class Program_weight_tensor_parameter_81: name = "parameter_81" + original_name = "conv2d_61.w_0" shape = [512, 256, 1, 1] dtype = "float32" min_val = float("-0.335409") @@ -902,6 +984,7 @@ class Program_weight_tensor_parameter_81: class Program_weight_tensor_parameter_82: name = "parameter_82" + original_name = "batch_norm_60.b_0" shape = [256] dtype = "float32" min_val = float("-2.35225") @@ -913,6 +996,7 @@ class Program_weight_tensor_parameter_82: class Program_weight_tensor_parameter_83: name = "parameter_83" + original_name = "batch_norm_60.w_0" shape = [256] dtype = "float32" min_val = float("0.602247") @@ -924,6 +1008,7 @@ class Program_weight_tensor_parameter_83: class Program_weight_tensor_parameter_84: name = "parameter_84" + original_name = "batch_norm_60.w_2" shape = [256] dtype = "float32" min_val = float("0.000353021") @@ -935,6 +1020,7 @@ class Program_weight_tensor_parameter_84: class Program_weight_tensor_parameter_85: name = "parameter_85" + original_name = "batch_norm_60.w_1" shape = [256] dtype = "float32" min_val = float("-1.71236") @@ -946,6 +1032,7 @@ class Program_weight_tensor_parameter_85: class Program_weight_tensor_parameter_86: name = "parameter_86" + original_name = "conv2d_60.w_0" shape = [256, 1, 3, 3] dtype = "float32" min_val = float("-0.29849") @@ -957,6 +1044,7 @@ class Program_weight_tensor_parameter_86: class Program_weight_tensor_parameter_87: name = "parameter_87" + original_name = "batch_norm_59.b_0" shape = [256] dtype = "float32" min_val = float("-1.01026") @@ -968,6 +1056,7 @@ class Program_weight_tensor_parameter_87: class Program_weight_tensor_parameter_88: name = "parameter_88" + original_name = "batch_norm_59.w_0" shape = [256] dtype = "float32" min_val = float("0.0662464") @@ -979,6 +1068,7 @@ class Program_weight_tensor_parameter_88: class Program_weight_tensor_parameter_89: name = "parameter_89" + original_name = "batch_norm_59.w_2" shape = [256] dtype = "float32" min_val = float("0.0148794") @@ -990,6 +1080,7 @@ class Program_weight_tensor_parameter_89: class Program_weight_tensor_parameter_90: name = "parameter_90" + original_name = "batch_norm_59.w_1" shape = [256] dtype = "float32" min_val = float("-0.0691899") @@ -1001,6 +1092,7 @@ class Program_weight_tensor_parameter_90: class Program_weight_tensor_parameter_91: name = "parameter_91" + original_name = "conv2d_59.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.239188") @@ -1012,6 +1104,7 @@ class Program_weight_tensor_parameter_91: class Program_weight_tensor_parameter_92: name = "parameter_92" + original_name = "batch_norm_58.b_0" shape = [1024] dtype = "float32" min_val = float("-4.21957") @@ -1023,6 +1116,7 @@ class Program_weight_tensor_parameter_92: class Program_weight_tensor_parameter_93: name = "parameter_93" + original_name = "batch_norm_58.w_0" shape = [1024] dtype = "float32" min_val = float("0.113134") @@ -1034,6 +1128,7 @@ class Program_weight_tensor_parameter_93: class Program_weight_tensor_parameter_94: name = "parameter_94" + original_name = "batch_norm_58.w_2" shape = [1024] dtype = "float32" min_val = float("1.67876e-42") @@ -1045,6 +1140,7 @@ class Program_weight_tensor_parameter_94: class Program_weight_tensor_parameter_95: name = "parameter_95" + original_name = "batch_norm_58.w_1" shape = [1024] dtype = "float32" min_val = float("-1.18621") @@ -1056,6 +1152,7 @@ class Program_weight_tensor_parameter_95: class Program_weight_tensor_parameter_96: name = "parameter_96" + original_name = "conv2d_58.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.211522") @@ -1067,6 +1164,7 @@ class Program_weight_tensor_parameter_96: class Program_weight_tensor_parameter_97: name = "parameter_97" + original_name = "batch_norm_57.b_0" shape = [256] dtype = "float32" min_val = float("-1.98935") @@ -1078,6 +1176,7 @@ class Program_weight_tensor_parameter_97: class Program_weight_tensor_parameter_98: name = "parameter_98" + original_name = "batch_norm_57.w_0" shape = [256] dtype = "float32" min_val = float("0.630948") @@ -1089,6 +1188,7 @@ class Program_weight_tensor_parameter_98: class Program_weight_tensor_parameter_99: name = "parameter_99" + original_name = "batch_norm_57.w_2" shape = [256] dtype = "float32" min_val = float("0.00020621") @@ -1100,6 +1200,7 @@ class Program_weight_tensor_parameter_99: class Program_weight_tensor_parameter_100: name = "parameter_100" + original_name = "batch_norm_57.w_1" shape = [256] dtype = "float32" min_val = float("-1.20382") @@ -1111,6 +1212,7 @@ class Program_weight_tensor_parameter_100: class Program_weight_tensor_parameter_101: name = "parameter_101" + original_name = "conv2d_57.w_0" shape = [256, 1, 3, 3] dtype = "float32" min_val = float("-0.277028") @@ -1122,6 +1224,7 @@ class Program_weight_tensor_parameter_101: class Program_weight_tensor_parameter_102: name = "parameter_102" + original_name = "batch_norm_56.b_0" shape = [256] dtype = "float32" min_val = float("-0.929524") @@ -1133,6 +1236,7 @@ class Program_weight_tensor_parameter_102: class Program_weight_tensor_parameter_103: name = "parameter_103" + original_name = "batch_norm_56.w_0" shape = [256] dtype = "float32" min_val = float("0.0415774") @@ -1144,6 +1248,7 @@ class Program_weight_tensor_parameter_103: class Program_weight_tensor_parameter_104: name = "parameter_104" + original_name = "batch_norm_56.w_2" shape = [256] dtype = "float32" min_val = float("0.0576867") @@ -1155,6 +1260,7 @@ class Program_weight_tensor_parameter_104: class Program_weight_tensor_parameter_105: name = "parameter_105" + original_name = "batch_norm_56.w_1" shape = [256] dtype = "float32" min_val = float("-0.143846") @@ -1166,6 +1272,7 @@ class Program_weight_tensor_parameter_105: class Program_weight_tensor_parameter_106: name = "parameter_106" + original_name = "conv2d_56.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.245266") @@ -1177,6 +1284,7 @@ class Program_weight_tensor_parameter_106: class Program_weight_tensor_parameter_107: name = "parameter_107" + original_name = "batch_norm_55.b_0" shape = [1024] dtype = "float32" min_val = float("-5.64332") @@ -1188,6 +1296,7 @@ class Program_weight_tensor_parameter_107: class Program_weight_tensor_parameter_108: name = "parameter_108" + original_name = "batch_norm_55.w_0" shape = [1024] dtype = "float32" min_val = float("0.193728") @@ -1199,6 +1308,7 @@ class Program_weight_tensor_parameter_108: class Program_weight_tensor_parameter_109: name = "parameter_109" + original_name = "batch_norm_55.w_2" shape = [1024] dtype = "float32" min_val = float("1.67876e-42") @@ -1210,6 +1320,7 @@ class Program_weight_tensor_parameter_109: class Program_weight_tensor_parameter_110: name = "parameter_110" + original_name = "batch_norm_55.w_1" shape = [1024] dtype = "float32" min_val = float("-3.80816") @@ -1221,6 +1332,7 @@ class Program_weight_tensor_parameter_110: class Program_weight_tensor_parameter_111: name = "parameter_111" + original_name = "conv2d_55.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.253615") @@ -1232,6 +1344,7 @@ class Program_weight_tensor_parameter_111: class Program_weight_tensor_parameter_112: name = "parameter_112" + original_name = "batch_norm_54.b_0" shape = [256] dtype = "float32" min_val = float("-1.55063") @@ -1243,6 +1356,7 @@ class Program_weight_tensor_parameter_112: class Program_weight_tensor_parameter_113: name = "parameter_113" + original_name = "batch_norm_54.w_0" shape = [256] dtype = "float32" min_val = float("0.0993726") @@ -1254,6 +1368,7 @@ class Program_weight_tensor_parameter_113: class Program_weight_tensor_parameter_114: name = "parameter_114" + original_name = "batch_norm_54.w_2" shape = [256] dtype = "float32" min_val = float("0.548538") @@ -1265,6 +1380,7 @@ class Program_weight_tensor_parameter_114: class Program_weight_tensor_parameter_115: name = "parameter_115" + original_name = "batch_norm_54.w_1" shape = [256] dtype = "float32" min_val = float("-4.41659") @@ -1276,6 +1392,7 @@ class Program_weight_tensor_parameter_115: class Program_weight_tensor_parameter_116: name = "parameter_116" + original_name = "conv2d_54.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.305451") @@ -1287,6 +1404,7 @@ class Program_weight_tensor_parameter_116: class Program_weight_tensor_parameter_117: name = "parameter_117" + original_name = "batch_norm_53.b_0" shape = [1024] dtype = "float32" min_val = float("-6.82879") @@ -1298,6 +1416,7 @@ class Program_weight_tensor_parameter_117: class Program_weight_tensor_parameter_118: name = "parameter_118" + original_name = "batch_norm_53.w_0" shape = [1024] dtype = "float32" min_val = float("0.0338038") @@ -1309,6 +1428,7 @@ class Program_weight_tensor_parameter_118: class Program_weight_tensor_parameter_119: name = "parameter_119" + original_name = "batch_norm_53.w_2" shape = [1024] dtype = "float32" min_val = float("1.13645e-42") @@ -1320,6 +1440,7 @@ class Program_weight_tensor_parameter_119: class Program_weight_tensor_parameter_120: name = "parameter_120" + original_name = "batch_norm_53.w_1" shape = [1024] dtype = "float32" min_val = float("-0.677955") @@ -1331,6 +1452,7 @@ class Program_weight_tensor_parameter_120: class Program_weight_tensor_parameter_121: name = "parameter_121" + original_name = "conv2d_53.w_0" shape = [1024, 1, 5, 5] dtype = "float32" min_val = float("-0.22885") @@ -1342,6 +1464,7 @@ class Program_weight_tensor_parameter_121: class Program_weight_tensor_parameter_122: name = "parameter_122" + original_name = "batch_norm_52.b_0" shape = [1024] dtype = "float32" min_val = float("-1.86404") @@ -1353,6 +1476,7 @@ class Program_weight_tensor_parameter_122: class Program_weight_tensor_parameter_123: name = "parameter_123" + original_name = "batch_norm_52.w_0" shape = [1024] dtype = "float32" min_val = float("0.0668295") @@ -1364,6 +1488,7 @@ class Program_weight_tensor_parameter_123: class Program_weight_tensor_parameter_124: name = "parameter_124" + original_name = "batch_norm_52.w_2" shape = [1024] dtype = "float32" min_val = float("1.65073e-42") @@ -1375,6 +1500,7 @@ class Program_weight_tensor_parameter_124: class Program_weight_tensor_parameter_125: name = "parameter_125" + original_name = "batch_norm_52.w_1" shape = [1024] dtype = "float32" min_val = float("-1.47914") @@ -1386,6 +1512,7 @@ class Program_weight_tensor_parameter_125: class Program_weight_tensor_parameter_126: name = "parameter_126" + original_name = "conv2d_52.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.310368") @@ -1397,6 +1524,7 @@ class Program_weight_tensor_parameter_126: class Program_weight_tensor_parameter_127: name = "parameter_127" + original_name = "batch_norm_51.b_0" shape = [256] dtype = "float32" min_val = float("-2.93209") @@ -1408,6 +1536,7 @@ class Program_weight_tensor_parameter_127: class Program_weight_tensor_parameter_128: name = "parameter_128" + original_name = "batch_norm_51.w_0" shape = [256] dtype = "float32" min_val = float("0.753114") @@ -1419,6 +1548,7 @@ class Program_weight_tensor_parameter_128: class Program_weight_tensor_parameter_129: name = "parameter_129" + original_name = "batch_norm_51.w_2" shape = [256] dtype = "float32" min_val = float("2.31732e-05") @@ -1430,6 +1560,7 @@ class Program_weight_tensor_parameter_129: class Program_weight_tensor_parameter_130: name = "parameter_130" + original_name = "batch_norm_51.w_1" shape = [256] dtype = "float32" min_val = float("-0.804192") @@ -1441,6 +1572,7 @@ class Program_weight_tensor_parameter_130: class Program_weight_tensor_parameter_131: name = "parameter_131" + original_name = "conv2d_51.w_0" shape = [256, 1, 3, 3] dtype = "float32" min_val = float("-0.322569") @@ -1452,6 +1584,7 @@ class Program_weight_tensor_parameter_131: class Program_weight_tensor_parameter_132: name = "parameter_132" + original_name = "batch_norm_50.b_0" shape = [256] dtype = "float32" min_val = float("-1.06337") @@ -1463,6 +1596,7 @@ class Program_weight_tensor_parameter_132: class Program_weight_tensor_parameter_133: name = "parameter_133" + original_name = "batch_norm_50.w_0" shape = [256] dtype = "float32" min_val = float("-0.0448606") @@ -1474,6 +1608,7 @@ class Program_weight_tensor_parameter_133: class Program_weight_tensor_parameter_134: name = "parameter_134" + original_name = "batch_norm_50.w_2" shape = [256] dtype = "float32" min_val = float("0.452495") @@ -1485,6 +1620,7 @@ class Program_weight_tensor_parameter_134: class Program_weight_tensor_parameter_135: name = "parameter_135" + original_name = "batch_norm_50.w_1" shape = [256] dtype = "float32" min_val = float("-2.34625") @@ -1496,6 +1632,7 @@ class Program_weight_tensor_parameter_135: class Program_weight_tensor_parameter_136: name = "parameter_136" + original_name = "conv2d_50.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.265746") @@ -1507,6 +1644,7 @@ class Program_weight_tensor_parameter_136: class Program_weight_tensor_parameter_137: name = "parameter_137" + original_name = "batch_norm_49.b_0" shape = [1024] dtype = "float32" min_val = float("-10.3864") @@ -1518,6 +1656,7 @@ class Program_weight_tensor_parameter_137: class Program_weight_tensor_parameter_138: name = "parameter_138" + original_name = "batch_norm_49.w_0" shape = [1024] dtype = "float32" min_val = float("0.171525") @@ -1529,6 +1668,7 @@ class Program_weight_tensor_parameter_138: class Program_weight_tensor_parameter_139: name = "parameter_139" + original_name = "batch_norm_49.w_2" shape = [1024] dtype = "float32" min_val = float("1.15887e-42") @@ -1540,6 +1680,7 @@ class Program_weight_tensor_parameter_139: class Program_weight_tensor_parameter_140: name = "parameter_140" + original_name = "batch_norm_49.w_1" shape = [1024] dtype = "float32" min_val = float("-0.60269") @@ -1551,6 +1692,7 @@ class Program_weight_tensor_parameter_140: class Program_weight_tensor_parameter_141: name = "parameter_141" + original_name = "conv2d_49.w_0" shape = [1024, 1, 5, 5] dtype = "float32" min_val = float("-0.220196") @@ -1562,6 +1704,7 @@ class Program_weight_tensor_parameter_141: class Program_weight_tensor_parameter_142: name = "parameter_142" + original_name = "batch_norm_48.b_0" shape = [1024] dtype = "float32" min_val = float("-1.87647") @@ -1573,6 +1716,7 @@ class Program_weight_tensor_parameter_142: class Program_weight_tensor_parameter_143: name = "parameter_143" + original_name = "batch_norm_48.w_0" shape = [1024] dtype = "float32" min_val = float("0.11464") @@ -1584,6 +1728,7 @@ class Program_weight_tensor_parameter_143: class Program_weight_tensor_parameter_144: name = "parameter_144" + original_name = "batch_norm_48.w_2" shape = [1024] dtype = "float32" min_val = float("1.66054e-42") @@ -1595,6 +1740,7 @@ class Program_weight_tensor_parameter_144: class Program_weight_tensor_parameter_145: name = "parameter_145" + original_name = "batch_norm_48.w_1" shape = [1024] dtype = "float32" min_val = float("-1.87606") @@ -1606,6 +1752,7 @@ class Program_weight_tensor_parameter_145: class Program_weight_tensor_parameter_146: name = "parameter_146" + original_name = "conv2d_48.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.403756") @@ -1617,6 +1764,7 @@ class Program_weight_tensor_parameter_146: class Program_weight_tensor_parameter_147: name = "parameter_147" + original_name = "batch_norm_47.b_0" shape = [256] dtype = "float32" min_val = float("-2.88305") @@ -1628,6 +1776,7 @@ class Program_weight_tensor_parameter_147: class Program_weight_tensor_parameter_148: name = "parameter_148" + original_name = "batch_norm_47.w_0" shape = [256] dtype = "float32" min_val = float("0.652199") @@ -1639,6 +1788,7 @@ class Program_weight_tensor_parameter_148: class Program_weight_tensor_parameter_149: name = "parameter_149" + original_name = "batch_norm_47.w_2" shape = [256] dtype = "float32" min_val = float("5.27836e-05") @@ -1650,6 +1800,7 @@ class Program_weight_tensor_parameter_149: class Program_weight_tensor_parameter_150: name = "parameter_150" + original_name = "batch_norm_47.w_1" shape = [256] dtype = "float32" min_val = float("-1.36315") @@ -1661,6 +1812,7 @@ class Program_weight_tensor_parameter_150: class Program_weight_tensor_parameter_151: name = "parameter_151" + original_name = "conv2d_47.w_0" shape = [256, 1, 3, 3] dtype = "float32" min_val = float("-0.314152") @@ -1672,6 +1824,7 @@ class Program_weight_tensor_parameter_151: class Program_weight_tensor_parameter_152: name = "parameter_152" + original_name = "batch_norm_46.b_0" shape = [256] dtype = "float32" min_val = float("-1.09378") @@ -1683,6 +1836,7 @@ class Program_weight_tensor_parameter_152: class Program_weight_tensor_parameter_153: name = "parameter_153" + original_name = "batch_norm_46.w_0" shape = [256] dtype = "float32" min_val = float("-0.0516584") @@ -1694,6 +1848,7 @@ class Program_weight_tensor_parameter_153: class Program_weight_tensor_parameter_154: name = "parameter_154" + original_name = "batch_norm_46.w_2" shape = [256] dtype = "float32" min_val = float("0.451342") @@ -1705,6 +1860,7 @@ class Program_weight_tensor_parameter_154: class Program_weight_tensor_parameter_155: name = "parameter_155" + original_name = "batch_norm_46.w_1" shape = [256] dtype = "float32" min_val = float("-3.08851") @@ -1716,6 +1872,7 @@ class Program_weight_tensor_parameter_155: class Program_weight_tensor_parameter_156: name = "parameter_156" + original_name = "conv2d_46.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.277856") @@ -1727,6 +1884,7 @@ class Program_weight_tensor_parameter_156: class Program_weight_tensor_parameter_157: name = "parameter_157" + original_name = "batch_norm_45.b_0" shape = [1024] dtype = "float32" min_val = float("-6.42365") @@ -1738,6 +1896,7 @@ class Program_weight_tensor_parameter_157: class Program_weight_tensor_parameter_158: name = "parameter_158" + original_name = "batch_norm_45.w_0" shape = [1024] dtype = "float32" min_val = float("0.0558595") @@ -1749,6 +1908,7 @@ class Program_weight_tensor_parameter_158: class Program_weight_tensor_parameter_159: name = "parameter_159" + original_name = "batch_norm_45.w_2" shape = [1024] dtype = "float32" min_val = float("1.27098e-42") @@ -1760,6 +1920,7 @@ class Program_weight_tensor_parameter_159: class Program_weight_tensor_parameter_160: name = "parameter_160" + original_name = "batch_norm_45.w_1" shape = [1024] dtype = "float32" min_val = float("-0.715336") @@ -1771,6 +1932,7 @@ class Program_weight_tensor_parameter_160: class Program_weight_tensor_parameter_161: name = "parameter_161" + original_name = "conv2d_45.w_0" shape = [1024, 1, 5, 5] dtype = "float32" min_val = float("-0.227747") @@ -1782,6 +1944,7 @@ class Program_weight_tensor_parameter_161: class Program_weight_tensor_parameter_162: name = "parameter_162" + original_name = "batch_norm_44.b_0" shape = [1024] dtype = "float32" min_val = float("-1.93005") @@ -1793,6 +1956,7 @@ class Program_weight_tensor_parameter_162: class Program_weight_tensor_parameter_163: name = "parameter_163" + original_name = "batch_norm_44.w_0" shape = [1024] dtype = "float32" min_val = float("0.139966") @@ -1804,6 +1968,7 @@ class Program_weight_tensor_parameter_163: class Program_weight_tensor_parameter_164: name = "parameter_164" + original_name = "batch_norm_44.w_2" shape = [1024] dtype = "float32" min_val = float("1.64092e-42") @@ -1815,6 +1980,7 @@ class Program_weight_tensor_parameter_164: class Program_weight_tensor_parameter_165: name = "parameter_165" + original_name = "batch_norm_44.w_1" shape = [1024] dtype = "float32" min_val = float("-1.72552") @@ -1826,6 +1992,7 @@ class Program_weight_tensor_parameter_165: class Program_weight_tensor_parameter_166: name = "parameter_166" + original_name = "conv2d_44.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.402738") @@ -1837,6 +2004,7 @@ class Program_weight_tensor_parameter_166: class Program_weight_tensor_parameter_167: name = "parameter_167" + original_name = "batch_norm_43.b_0" shape = [256] dtype = "float32" min_val = float("-2.35042") @@ -1848,6 +2016,7 @@ class Program_weight_tensor_parameter_167: class Program_weight_tensor_parameter_168: name = "parameter_168" + original_name = "batch_norm_43.w_0" shape = [256] dtype = "float32" min_val = float("0.651124") @@ -1859,6 +2028,7 @@ class Program_weight_tensor_parameter_168: class Program_weight_tensor_parameter_169: name = "parameter_169" + original_name = "batch_norm_43.w_2" shape = [256] dtype = "float32" min_val = float("6.24325e-05") @@ -1870,6 +2040,7 @@ class Program_weight_tensor_parameter_169: class Program_weight_tensor_parameter_170: name = "parameter_170" + original_name = "batch_norm_43.w_1" shape = [256] dtype = "float32" min_val = float("-2.53589") @@ -1881,6 +2052,7 @@ class Program_weight_tensor_parameter_170: class Program_weight_tensor_parameter_171: name = "parameter_171" + original_name = "conv2d_43.w_0" shape = [256, 1, 5, 5] dtype = "float32" min_val = float("-0.335805") @@ -1892,6 +2064,7 @@ class Program_weight_tensor_parameter_171: class Program_weight_tensor_parameter_172: name = "parameter_172" + original_name = "batch_norm_42.b_0" shape = [256] dtype = "float32" min_val = float("-2.73899") @@ -1903,6 +2076,7 @@ class Program_weight_tensor_parameter_172: class Program_weight_tensor_parameter_173: name = "parameter_173" + original_name = "batch_norm_42.w_0" shape = [256] dtype = "float32" min_val = float("-0.010269") @@ -1914,6 +2088,7 @@ class Program_weight_tensor_parameter_173: class Program_weight_tensor_parameter_174: name = "parameter_174" + original_name = "batch_norm_42.w_2" shape = [256] dtype = "float32" min_val = float("1.17807") @@ -1925,6 +2100,7 @@ class Program_weight_tensor_parameter_174: class Program_weight_tensor_parameter_175: name = "parameter_175" + original_name = "batch_norm_42.w_1" shape = [256] dtype = "float32" min_val = float("-6.38332") @@ -1936,6 +2112,7 @@ class Program_weight_tensor_parameter_175: class Program_weight_tensor_parameter_176: name = "parameter_176" + original_name = "conv2d_42.w_0" shape = [256, 960, 1, 1] dtype = "float32" min_val = float("-0.481481") @@ -1947,6 +2124,7 @@ class Program_weight_tensor_parameter_176: class Program_weight_tensor_parameter_177: name = "parameter_177" + original_name = "batch_norm_41.b_0" shape = [960] dtype = "float32" min_val = float("-4.24342") @@ -1958,6 +2136,7 @@ class Program_weight_tensor_parameter_177: class Program_weight_tensor_parameter_178: name = "parameter_178" + original_name = "batch_norm_41.w_0" shape = [960] dtype = "float32" min_val = float("0.305971") @@ -1969,6 +2148,7 @@ class Program_weight_tensor_parameter_178: class Program_weight_tensor_parameter_179: name = "parameter_179" + original_name = "batch_norm_41.w_2" shape = [960] dtype = "float32" min_val = float("1.67876e-42") @@ -1980,6 +2160,7 @@ class Program_weight_tensor_parameter_179: class Program_weight_tensor_parameter_180: name = "parameter_180" + original_name = "batch_norm_41.w_1" shape = [960] dtype = "float32" min_val = float("-0.78732") @@ -1991,6 +2172,7 @@ class Program_weight_tensor_parameter_180: class Program_weight_tensor_parameter_181: name = "parameter_181" + original_name = "conv2d_41.w_0" shape = [960, 1, 5, 5] dtype = "float32" min_val = float("-0.191921") @@ -2002,6 +2184,7 @@ class Program_weight_tensor_parameter_181: class Program_weight_tensor_parameter_182: name = "parameter_182" + original_name = "batch_norm_40.b_0" shape = [960] dtype = "float32" min_val = float("-1.62349") @@ -2013,6 +2196,7 @@ class Program_weight_tensor_parameter_182: class Program_weight_tensor_parameter_183: name = "parameter_183" + original_name = "batch_norm_40.w_0" shape = [960] dtype = "float32" min_val = float("0.435477") @@ -2024,6 +2208,7 @@ class Program_weight_tensor_parameter_183: class Program_weight_tensor_parameter_184: name = "parameter_184" + original_name = "batch_norm_40.w_2" shape = [960] dtype = "float32" min_val = float("1.70678e-42") @@ -2035,6 +2220,7 @@ class Program_weight_tensor_parameter_184: class Program_weight_tensor_parameter_185: name = "parameter_185" + original_name = "batch_norm_40.w_1" shape = [960] dtype = "float32" min_val = float("-1.14483") @@ -2046,6 +2232,7 @@ class Program_weight_tensor_parameter_185: class Program_weight_tensor_parameter_186: name = "parameter_186" + original_name = "conv2d_40.w_0" shape = [960, 160, 1, 1] dtype = "float32" min_val = float("-0.492031") @@ -2057,6 +2244,7 @@ class Program_weight_tensor_parameter_186: class Program_weight_tensor_parameter_187: name = "parameter_187" + original_name = "batch_norm_39.b_0" shape = [160] dtype = "float32" min_val = float("-2.50468") @@ -2068,6 +2256,7 @@ class Program_weight_tensor_parameter_187: class Program_weight_tensor_parameter_188: name = "parameter_188" + original_name = "batch_norm_39.w_0" shape = [160] dtype = "float32" min_val = float("0.576109") @@ -2079,6 +2268,7 @@ class Program_weight_tensor_parameter_188: class Program_weight_tensor_parameter_189: name = "parameter_189" + original_name = "batch_norm_39.w_2" shape = [160] dtype = "float32" min_val = float("0.0299641") @@ -2090,6 +2280,7 @@ class Program_weight_tensor_parameter_189: class Program_weight_tensor_parameter_190: name = "parameter_190" + original_name = "batch_norm_39.w_1" shape = [160] dtype = "float32" min_val = float("-9.2325") @@ -2101,6 +2292,7 @@ class Program_weight_tensor_parameter_190: class Program_weight_tensor_parameter_191: name = "parameter_191" + original_name = "conv2d_39.w_0" shape = [160, 1, 5, 5] dtype = "float32" min_val = float("-0.388109") @@ -2112,6 +2304,7 @@ class Program_weight_tensor_parameter_191: class Program_weight_tensor_parameter_192: name = "parameter_192" + original_name = "batch_norm_38.b_0" shape = [160] dtype = "float32" min_val = float("-4.34") @@ -2123,6 +2316,7 @@ class Program_weight_tensor_parameter_192: class Program_weight_tensor_parameter_193: name = "parameter_193" + original_name = "batch_norm_38.w_0" shape = [160] dtype = "float32" min_val = float("-0.410675") @@ -2134,6 +2328,7 @@ class Program_weight_tensor_parameter_193: class Program_weight_tensor_parameter_194: name = "parameter_194" + original_name = "batch_norm_38.w_2" shape = [160] dtype = "float32" min_val = float("0.0644587") @@ -2145,6 +2340,7 @@ class Program_weight_tensor_parameter_194: class Program_weight_tensor_parameter_195: name = "parameter_195" + original_name = "batch_norm_38.w_1" shape = [160] dtype = "float32" min_val = float("-0.220693") @@ -2156,6 +2352,7 @@ class Program_weight_tensor_parameter_195: class Program_weight_tensor_parameter_196: name = "parameter_196" + original_name = "conv2d_38.w_0" shape = [160, 640, 1, 1] dtype = "float32" min_val = float("-0.252572") @@ -2167,6 +2364,7 @@ class Program_weight_tensor_parameter_196: class Program_weight_tensor_parameter_197: name = "parameter_197" + original_name = "batch_norm_37.b_0" shape = [640] dtype = "float32" min_val = float("-4.09296") @@ -2178,6 +2376,7 @@ class Program_weight_tensor_parameter_197: class Program_weight_tensor_parameter_198: name = "parameter_198" + original_name = "batch_norm_37.w_0" shape = [640] dtype = "float32" min_val = float("0.177202") @@ -2189,6 +2388,7 @@ class Program_weight_tensor_parameter_198: class Program_weight_tensor_parameter_199: name = "parameter_199" + original_name = "batch_norm_37.w_2" shape = [640] dtype = "float32" min_val = float("1.67876e-42") @@ -2200,6 +2400,7 @@ class Program_weight_tensor_parameter_199: class Program_weight_tensor_parameter_200: name = "parameter_200" + original_name = "batch_norm_37.w_1" shape = [640] dtype = "float32" min_val = float("-1.06598") @@ -2211,6 +2412,7 @@ class Program_weight_tensor_parameter_200: class Program_weight_tensor_parameter_201: name = "parameter_201" + original_name = "conv2d_37.w_0" shape = [640, 160, 1, 1] dtype = "float32" min_val = float("-0.283321") @@ -2222,6 +2424,7 @@ class Program_weight_tensor_parameter_201: class Program_weight_tensor_parameter_202: name = "parameter_202" + original_name = "batch_norm_36.b_0" shape = [160] dtype = "float32" min_val = float("-2.62977") @@ -2233,6 +2436,7 @@ class Program_weight_tensor_parameter_202: class Program_weight_tensor_parameter_203: name = "parameter_203" + original_name = "batch_norm_36.w_0" shape = [160] dtype = "float32" min_val = float("-0.159914") @@ -2244,6 +2448,7 @@ class Program_weight_tensor_parameter_203: class Program_weight_tensor_parameter_204: name = "parameter_204" + original_name = "batch_norm_36.w_2" shape = [160] dtype = "float32" min_val = float("0.00548876") @@ -2255,6 +2460,7 @@ class Program_weight_tensor_parameter_204: class Program_weight_tensor_parameter_205: name = "parameter_205" + original_name = "batch_norm_36.w_1" shape = [160] dtype = "float32" min_val = float("-5.49342") @@ -2266,6 +2472,7 @@ class Program_weight_tensor_parameter_205: class Program_weight_tensor_parameter_206: name = "parameter_206" + original_name = "conv2d_36.w_0" shape = [160, 1, 3, 3] dtype = "float32" min_val = float("-0.309248") @@ -2277,6 +2484,7 @@ class Program_weight_tensor_parameter_206: class Program_weight_tensor_parameter_207: name = "parameter_207" + original_name = "batch_norm_35.b_0" shape = [160] dtype = "float32" min_val = float("-2.57798") @@ -2288,6 +2496,7 @@ class Program_weight_tensor_parameter_207: class Program_weight_tensor_parameter_208: name = "parameter_208" + original_name = "batch_norm_35.w_0" shape = [160] dtype = "float32" min_val = float("-0.201047") @@ -2299,6 +2508,7 @@ class Program_weight_tensor_parameter_208: class Program_weight_tensor_parameter_209: name = "parameter_209" + original_name = "batch_norm_35.w_2" shape = [160] dtype = "float32" min_val = float("0.0222785") @@ -2310,6 +2520,7 @@ class Program_weight_tensor_parameter_209: class Program_weight_tensor_parameter_210: name = "parameter_210" + original_name = "batch_norm_35.w_1" shape = [160] dtype = "float32" min_val = float("-0.202729") @@ -2321,6 +2532,7 @@ class Program_weight_tensor_parameter_210: class Program_weight_tensor_parameter_211: name = "parameter_211" + original_name = "conv2d_35.w_0" shape = [160, 320, 1, 1] dtype = "float32" min_val = float("-0.299088") @@ -2332,6 +2544,7 @@ class Program_weight_tensor_parameter_211: class Program_weight_tensor_parameter_212: name = "parameter_212" + original_name = "batch_norm_34.b_0" shape = [320] dtype = "float32" min_val = float("-4.08498") @@ -2343,6 +2556,7 @@ class Program_weight_tensor_parameter_212: class Program_weight_tensor_parameter_213: name = "parameter_213" + original_name = "batch_norm_34.w_0" shape = [320] dtype = "float32" min_val = float("0.45528") @@ -2354,6 +2568,7 @@ class Program_weight_tensor_parameter_213: class Program_weight_tensor_parameter_214: name = "parameter_214" + original_name = "batch_norm_34.w_2" shape = [320] dtype = "float32" min_val = float("6.20489e-31") @@ -2365,6 +2580,7 @@ class Program_weight_tensor_parameter_214: class Program_weight_tensor_parameter_215: name = "parameter_215" + original_name = "batch_norm_34.w_1" shape = [320] dtype = "float32" min_val = float("-5.22954") @@ -2376,6 +2592,7 @@ class Program_weight_tensor_parameter_215: class Program_weight_tensor_parameter_216: name = "parameter_216" + original_name = "conv2d_34.w_0" shape = [320, 160, 1, 1] dtype = "float32" min_val = float("-0.380312") @@ -2387,6 +2604,7 @@ class Program_weight_tensor_parameter_216: class Program_weight_tensor_parameter_217: name = "parameter_217" + original_name = "batch_norm_33.b_0" shape = [160] dtype = "float32" min_val = float("-3.47002") @@ -2398,6 +2616,7 @@ class Program_weight_tensor_parameter_217: class Program_weight_tensor_parameter_218: name = "parameter_218" + original_name = "batch_norm_33.w_0" shape = [160] dtype = "float32" min_val = float("-0.0848781") @@ -2409,6 +2628,7 @@ class Program_weight_tensor_parameter_218: class Program_weight_tensor_parameter_219: name = "parameter_219" + original_name = "batch_norm_33.w_2" shape = [160] dtype = "float32" min_val = float("0.0392376") @@ -2420,6 +2640,7 @@ class Program_weight_tensor_parameter_219: class Program_weight_tensor_parameter_220: name = "parameter_220" + original_name = "batch_norm_33.w_1" shape = [160] dtype = "float32" min_val = float("-0.277031") @@ -2431,6 +2652,7 @@ class Program_weight_tensor_parameter_220: class Program_weight_tensor_parameter_221: name = "parameter_221" + original_name = "conv2d_33.w_0" shape = [160, 640, 1, 1] dtype = "float32" min_val = float("-0.387852") @@ -2442,6 +2664,7 @@ class Program_weight_tensor_parameter_221: class Program_weight_tensor_parameter_222: name = "parameter_222" + original_name = "batch_norm_32.b_0" shape = [640] dtype = "float32" min_val = float("-8.20421") @@ -2453,6 +2676,7 @@ class Program_weight_tensor_parameter_222: class Program_weight_tensor_parameter_223: name = "parameter_223" + original_name = "batch_norm_32.w_0" shape = [640] dtype = "float32" min_val = float("0.0720156") @@ -2464,6 +2688,7 @@ class Program_weight_tensor_parameter_223: class Program_weight_tensor_parameter_224: name = "parameter_224" + original_name = "batch_norm_32.w_2" shape = [640] dtype = "float32" min_val = float("1.67876e-42") @@ -2475,6 +2700,7 @@ class Program_weight_tensor_parameter_224: class Program_weight_tensor_parameter_225: name = "parameter_225" + original_name = "batch_norm_32.w_1" shape = [640] dtype = "float32" min_val = float("-1.08412") @@ -2486,6 +2712,7 @@ class Program_weight_tensor_parameter_225: class Program_weight_tensor_parameter_226: name = "parameter_226" + original_name = "conv2d_32.w_0" shape = [640, 160, 1, 1] dtype = "float32" min_val = float("-0.435185") @@ -2497,6 +2724,7 @@ class Program_weight_tensor_parameter_226: class Program_weight_tensor_parameter_227: name = "parameter_227" + original_name = "batch_norm_31.b_0" shape = [160] dtype = "float32" min_val = float("-2.01333") @@ -2508,6 +2736,7 @@ class Program_weight_tensor_parameter_227: class Program_weight_tensor_parameter_228: name = "parameter_228" + original_name = "batch_norm_31.w_0" shape = [160] dtype = "float32" min_val = float("0.529682") @@ -2519,6 +2748,7 @@ class Program_weight_tensor_parameter_228: class Program_weight_tensor_parameter_229: name = "parameter_229" + original_name = "batch_norm_31.w_2" shape = [160] dtype = "float32" min_val = float("0.00133031") @@ -2530,6 +2760,7 @@ class Program_weight_tensor_parameter_229: class Program_weight_tensor_parameter_230: name = "parameter_230" + original_name = "batch_norm_31.w_1" shape = [160] dtype = "float32" min_val = float("-0.976939") @@ -2541,6 +2772,7 @@ class Program_weight_tensor_parameter_230: class Program_weight_tensor_parameter_231: name = "parameter_231" + original_name = "conv2d_31.w_0" shape = [160, 1, 3, 3] dtype = "float32" min_val = float("-0.373896") @@ -2552,6 +2784,7 @@ class Program_weight_tensor_parameter_231: class Program_weight_tensor_parameter_232: name = "parameter_232" + original_name = "batch_norm_30.b_0" shape = [160] dtype = "float32" min_val = float("-4.38401") @@ -2563,6 +2796,7 @@ class Program_weight_tensor_parameter_232: class Program_weight_tensor_parameter_233: name = "parameter_233" + original_name = "batch_norm_30.w_0" shape = [160] dtype = "float32" min_val = float("0.0730612") @@ -2574,6 +2808,7 @@ class Program_weight_tensor_parameter_233: class Program_weight_tensor_parameter_234: name = "parameter_234" + original_name = "batch_norm_30.w_2" shape = [160] dtype = "float32" min_val = float("0.171028") @@ -2585,6 +2820,7 @@ class Program_weight_tensor_parameter_234: class Program_weight_tensor_parameter_235: name = "parameter_235" + original_name = "batch_norm_30.w_1" shape = [160] dtype = "float32" min_val = float("-2.27293") @@ -2596,6 +2832,7 @@ class Program_weight_tensor_parameter_235: class Program_weight_tensor_parameter_236: name = "parameter_236" + original_name = "conv2d_30.w_0" shape = [160, 640, 1, 1] dtype = "float32" min_val = float("-0.382332") @@ -2607,6 +2844,7 @@ class Program_weight_tensor_parameter_236: class Program_weight_tensor_parameter_237: name = "parameter_237" + original_name = "batch_norm_29.b_0" shape = [640] dtype = "float32" min_val = float("-15.3634") @@ -2618,6 +2856,7 @@ class Program_weight_tensor_parameter_237: class Program_weight_tensor_parameter_238: name = "parameter_238" + original_name = "batch_norm_29.w_0" shape = [640] dtype = "float32" min_val = float("0.00447807") @@ -2629,6 +2868,7 @@ class Program_weight_tensor_parameter_238: class Program_weight_tensor_parameter_239: name = "parameter_239" + original_name = "batch_norm_29.w_2" shape = [640] dtype = "float32" min_val = float("1.24575e-42") @@ -2640,6 +2880,7 @@ class Program_weight_tensor_parameter_239: class Program_weight_tensor_parameter_240: name = "parameter_240" + original_name = "batch_norm_29.w_1" shape = [640] dtype = "float32" min_val = float("-0.409731") @@ -2651,6 +2892,7 @@ class Program_weight_tensor_parameter_240: class Program_weight_tensor_parameter_241: name = "parameter_241" + original_name = "conv2d_29.w_0" shape = [640, 1, 3, 3] dtype = "float32" min_val = float("-0.20192") @@ -2662,6 +2904,7 @@ class Program_weight_tensor_parameter_241: class Program_weight_tensor_parameter_242: name = "parameter_242" + original_name = "batch_norm_28.b_0" shape = [640] dtype = "float32" min_val = float("-1.77156") @@ -2673,6 +2916,7 @@ class Program_weight_tensor_parameter_242: class Program_weight_tensor_parameter_243: name = "parameter_243" + original_name = "batch_norm_28.w_0" shape = [640] dtype = "float32" min_val = float("0.0628849") @@ -2684,6 +2928,7 @@ class Program_weight_tensor_parameter_243: class Program_weight_tensor_parameter_244: name = "parameter_244" + original_name = "batch_norm_28.w_2" shape = [640] dtype = "float32" min_val = float("1.65633e-42") @@ -2695,6 +2940,7 @@ class Program_weight_tensor_parameter_244: class Program_weight_tensor_parameter_245: name = "parameter_245" + original_name = "batch_norm_28.w_1" shape = [640] dtype = "float32" min_val = float("-1.09645") @@ -2706,6 +2952,7 @@ class Program_weight_tensor_parameter_245: class Program_weight_tensor_parameter_246: name = "parameter_246" + original_name = "conv2d_28.w_0" shape = [640, 160, 1, 1] dtype = "float32" min_val = float("-0.380529") @@ -2717,6 +2964,7 @@ class Program_weight_tensor_parameter_246: class Program_weight_tensor_parameter_247: name = "parameter_247" + original_name = "batch_norm_27.b_0" shape = [160] dtype = "float32" min_val = float("-2.54662") @@ -2728,6 +2976,7 @@ class Program_weight_tensor_parameter_247: class Program_weight_tensor_parameter_248: name = "parameter_248" + original_name = "batch_norm_27.w_0" shape = [160] dtype = "float32" min_val = float("-0.123873") @@ -2739,6 +2988,7 @@ class Program_weight_tensor_parameter_248: class Program_weight_tensor_parameter_249: name = "parameter_249" + original_name = "batch_norm_27.w_2" shape = [160] dtype = "float32" min_val = float("0.000398601") @@ -2750,6 +3000,7 @@ class Program_weight_tensor_parameter_249: class Program_weight_tensor_parameter_250: name = "parameter_250" + original_name = "batch_norm_27.w_1" shape = [160] dtype = "float32" min_val = float("-0.899844") @@ -2761,6 +3012,7 @@ class Program_weight_tensor_parameter_250: class Program_weight_tensor_parameter_251: name = "parameter_251" + original_name = "conv2d_27.w_0" shape = [160, 1, 3, 3] dtype = "float32" min_val = float("-0.354645") @@ -2772,6 +3024,7 @@ class Program_weight_tensor_parameter_251: class Program_weight_tensor_parameter_252: name = "parameter_252" + original_name = "batch_norm_26.b_0" shape = [160] dtype = "float32" min_val = float("-3.15722") @@ -2783,6 +3036,7 @@ class Program_weight_tensor_parameter_252: class Program_weight_tensor_parameter_253: name = "parameter_253" + original_name = "batch_norm_26.w_0" shape = [160] dtype = "float32" min_val = float("-0.154135") @@ -2794,6 +3048,7 @@ class Program_weight_tensor_parameter_253: class Program_weight_tensor_parameter_254: name = "parameter_254" + original_name = "batch_norm_26.w_2" shape = [160] dtype = "float32" min_val = float("0.135937") @@ -2805,6 +3060,7 @@ class Program_weight_tensor_parameter_254: class Program_weight_tensor_parameter_255: name = "parameter_255" + original_name = "batch_norm_26.w_1" shape = [160] dtype = "float32" min_val = float("-1.0209") @@ -2816,6 +3072,7 @@ class Program_weight_tensor_parameter_255: class Program_weight_tensor_parameter_256: name = "parameter_256" + original_name = "conv2d_26.w_0" shape = [160, 640, 1, 1] dtype = "float32" min_val = float("-0.346731") @@ -2827,6 +3084,7 @@ class Program_weight_tensor_parameter_256: class Program_weight_tensor_parameter_257: name = "parameter_257" + original_name = "batch_norm_25.b_0" shape = [640] dtype = "float32" min_val = float("-18.1626") @@ -2838,6 +3096,7 @@ class Program_weight_tensor_parameter_257: class Program_weight_tensor_parameter_258: name = "parameter_258" + original_name = "batch_norm_25.w_0" shape = [640] dtype = "float32" min_val = float("0.0181023") @@ -2849,6 +3108,7 @@ class Program_weight_tensor_parameter_258: class Program_weight_tensor_parameter_259: name = "parameter_259" + original_name = "batch_norm_25.w_2" shape = [640] dtype = "float32" min_val = float("1.28079e-42") @@ -2860,6 +3120,7 @@ class Program_weight_tensor_parameter_259: class Program_weight_tensor_parameter_260: name = "parameter_260" + original_name = "batch_norm_25.w_1" shape = [640] dtype = "float32" min_val = float("-0.740359") @@ -2871,6 +3132,7 @@ class Program_weight_tensor_parameter_260: class Program_weight_tensor_parameter_261: name = "parameter_261" + original_name = "conv2d_25.w_0" shape = [640, 1, 5, 5] dtype = "float32" min_val = float("-0.199563") @@ -2882,6 +3144,7 @@ class Program_weight_tensor_parameter_261: class Program_weight_tensor_parameter_262: name = "parameter_262" + original_name = "batch_norm_24.b_0" shape = [640] dtype = "float32" min_val = float("-1.68141") @@ -2893,6 +3156,7 @@ class Program_weight_tensor_parameter_262: class Program_weight_tensor_parameter_263: name = "parameter_263" + original_name = "batch_norm_24.w_0" shape = [640] dtype = "float32" min_val = float("0.134278") @@ -2904,6 +3168,7 @@ class Program_weight_tensor_parameter_263: class Program_weight_tensor_parameter_264: name = "parameter_264" + original_name = "batch_norm_24.w_2" shape = [640] dtype = "float32" min_val = float("1.67876e-42") @@ -2915,6 +3180,7 @@ class Program_weight_tensor_parameter_264: class Program_weight_tensor_parameter_265: name = "parameter_265" + original_name = "batch_norm_24.w_1" shape = [640] dtype = "float32" min_val = float("-1.2269") @@ -2926,6 +3192,7 @@ class Program_weight_tensor_parameter_265: class Program_weight_tensor_parameter_266: name = "parameter_266" + original_name = "conv2d_24.w_0" shape = [640, 160, 1, 1] dtype = "float32" min_val = float("-0.44214") @@ -2937,6 +3204,7 @@ class Program_weight_tensor_parameter_266: class Program_weight_tensor_parameter_267: name = "parameter_267" + original_name = "batch_norm_23.b_0" shape = [160] dtype = "float32" min_val = float("-2.02969") @@ -2948,6 +3216,7 @@ class Program_weight_tensor_parameter_267: class Program_weight_tensor_parameter_268: name = "parameter_268" + original_name = "batch_norm_23.w_0" shape = [160] dtype = "float32" min_val = float("0.388072") @@ -2959,6 +3228,7 @@ class Program_weight_tensor_parameter_268: class Program_weight_tensor_parameter_269: name = "parameter_269" + original_name = "batch_norm_23.w_2" shape = [160] dtype = "float32" min_val = float("0.000119877") @@ -2970,6 +3240,7 @@ class Program_weight_tensor_parameter_269: class Program_weight_tensor_parameter_270: name = "parameter_270" + original_name = "batch_norm_23.w_1" shape = [160] dtype = "float32" min_val = float("-0.609156") @@ -2981,6 +3252,7 @@ class Program_weight_tensor_parameter_270: class Program_weight_tensor_parameter_271: name = "parameter_271" + original_name = "conv2d_23.w_0" shape = [160, 1, 3, 3] dtype = "float32" min_val = float("-0.368288") @@ -2992,6 +3264,7 @@ class Program_weight_tensor_parameter_271: class Program_weight_tensor_parameter_272: name = "parameter_272" + original_name = "batch_norm_22.b_0" shape = [160] dtype = "float32" min_val = float("-2.5937") @@ -3003,6 +3276,7 @@ class Program_weight_tensor_parameter_272: class Program_weight_tensor_parameter_273: name = "parameter_273" + original_name = "batch_norm_22.w_0" shape = [160] dtype = "float32" min_val = float("0.0225828") @@ -3014,6 +3288,7 @@ class Program_weight_tensor_parameter_273: class Program_weight_tensor_parameter_274: name = "parameter_274" + original_name = "batch_norm_22.w_2" shape = [160] dtype = "float32" min_val = float("0.145788") @@ -3025,6 +3300,7 @@ class Program_weight_tensor_parameter_274: class Program_weight_tensor_parameter_275: name = "parameter_275" + original_name = "batch_norm_22.w_1" shape = [160] dtype = "float32" min_val = float("-1.23906") @@ -3036,6 +3312,7 @@ class Program_weight_tensor_parameter_275: class Program_weight_tensor_parameter_276: name = "parameter_276" + original_name = "conv2d_22.w_0" shape = [160, 640, 1, 1] dtype = "float32" min_val = float("-0.349966") @@ -3047,6 +3324,7 @@ class Program_weight_tensor_parameter_276: class Program_weight_tensor_parameter_277: name = "parameter_277" + original_name = "batch_norm_21.b_0" shape = [640] dtype = "float32" min_val = float("-7.54167") @@ -3058,6 +3336,7 @@ class Program_weight_tensor_parameter_277: class Program_weight_tensor_parameter_278: name = "parameter_278" + original_name = "batch_norm_21.w_0" shape = [640] dtype = "float32" min_val = float("0.0366009") @@ -3069,6 +3348,7 @@ class Program_weight_tensor_parameter_278: class Program_weight_tensor_parameter_279: name = "parameter_279" + original_name = "batch_norm_21.w_2" shape = [640] dtype = "float32" min_val = float("1.24015e-42") @@ -3080,6 +3360,7 @@ class Program_weight_tensor_parameter_279: class Program_weight_tensor_parameter_280: name = "parameter_280" + original_name = "batch_norm_21.w_1" shape = [640] dtype = "float32" min_val = float("-0.731562") @@ -3091,6 +3372,7 @@ class Program_weight_tensor_parameter_280: class Program_weight_tensor_parameter_281: name = "parameter_281" + original_name = "conv2d_21.w_0" shape = [640, 1, 3, 3] dtype = "float32" min_val = float("-0.355503") @@ -3102,6 +3384,7 @@ class Program_weight_tensor_parameter_281: class Program_weight_tensor_parameter_282: name = "parameter_282" + original_name = "batch_norm_20.b_0" shape = [640] dtype = "float32" min_val = float("-1.97155") @@ -3113,6 +3396,7 @@ class Program_weight_tensor_parameter_282: class Program_weight_tensor_parameter_283: name = "parameter_283" + original_name = "batch_norm_20.w_0" shape = [640] dtype = "float32" min_val = float("0.0153546") @@ -3124,6 +3408,7 @@ class Program_weight_tensor_parameter_283: class Program_weight_tensor_parameter_284: name = "parameter_284" + original_name = "batch_norm_20.w_2" shape = [640] dtype = "float32" min_val = float("1.67876e-42") @@ -3135,6 +3420,7 @@ class Program_weight_tensor_parameter_284: class Program_weight_tensor_parameter_285: name = "parameter_285" + original_name = "batch_norm_20.w_1" shape = [640] dtype = "float32" min_val = float("-1.40045") @@ -3146,6 +3432,7 @@ class Program_weight_tensor_parameter_285: class Program_weight_tensor_parameter_286: name = "parameter_286" + original_name = "conv2d_20.w_0" shape = [640, 160, 1, 1] dtype = "float32" min_val = float("-0.460659") @@ -3157,6 +3444,7 @@ class Program_weight_tensor_parameter_286: class Program_weight_tensor_parameter_287: name = "parameter_287" + original_name = "batch_norm_19.b_0" shape = [160] dtype = "float32" min_val = float("-2.42683") @@ -3168,6 +3456,7 @@ class Program_weight_tensor_parameter_287: class Program_weight_tensor_parameter_288: name = "parameter_288" + original_name = "batch_norm_19.w_0" shape = [160] dtype = "float32" min_val = float("0.250069") @@ -3179,6 +3468,7 @@ class Program_weight_tensor_parameter_288: class Program_weight_tensor_parameter_289: name = "parameter_289" + original_name = "batch_norm_19.w_2" shape = [160] dtype = "float32" min_val = float("4.96099e-05") @@ -3190,6 +3480,7 @@ class Program_weight_tensor_parameter_289: class Program_weight_tensor_parameter_290: name = "parameter_290" + original_name = "batch_norm_19.w_1" shape = [160] dtype = "float32" min_val = float("-0.689616") @@ -3201,6 +3492,7 @@ class Program_weight_tensor_parameter_290: class Program_weight_tensor_parameter_291: name = "parameter_291" + original_name = "conv2d_19.w_0" shape = [160, 1, 3, 3] dtype = "float32" min_val = float("-0.324593") @@ -3212,6 +3504,7 @@ class Program_weight_tensor_parameter_291: class Program_weight_tensor_parameter_292: name = "parameter_292" + original_name = "batch_norm_18.b_0" shape = [160] dtype = "float32" min_val = float("-2.29284") @@ -3223,6 +3516,7 @@ class Program_weight_tensor_parameter_292: class Program_weight_tensor_parameter_293: name = "parameter_293" + original_name = "batch_norm_18.w_0" shape = [160] dtype = "float32" min_val = float("-0.118593") @@ -3234,6 +3528,7 @@ class Program_weight_tensor_parameter_293: class Program_weight_tensor_parameter_294: name = "parameter_294" + original_name = "batch_norm_18.w_2" shape = [160] dtype = "float32" min_val = float("0.148362") @@ -3245,6 +3540,7 @@ class Program_weight_tensor_parameter_294: class Program_weight_tensor_parameter_295: name = "parameter_295" + original_name = "batch_norm_18.w_1" shape = [160] dtype = "float32" min_val = float("-1.74502") @@ -3256,6 +3552,7 @@ class Program_weight_tensor_parameter_295: class Program_weight_tensor_parameter_296: name = "parameter_296" + original_name = "conv2d_18.w_0" shape = [160, 640, 1, 1] dtype = "float32" min_val = float("-0.285577") @@ -3267,6 +3564,7 @@ class Program_weight_tensor_parameter_296: class Program_weight_tensor_parameter_297: name = "parameter_297" + original_name = "batch_norm_17.b_0" shape = [640] dtype = "float32" min_val = float("-10.1072") @@ -3278,6 +3576,7 @@ class Program_weight_tensor_parameter_297: class Program_weight_tensor_parameter_298: name = "parameter_298" + original_name = "batch_norm_17.w_0" shape = [640] dtype = "float32" min_val = float("0.143022") @@ -3289,6 +3588,7 @@ class Program_weight_tensor_parameter_298: class Program_weight_tensor_parameter_299: name = "parameter_299" + original_name = "batch_norm_17.w_2" shape = [640] dtype = "float32" min_val = float("1.24996e-42") @@ -3300,6 +3600,7 @@ class Program_weight_tensor_parameter_299: class Program_weight_tensor_parameter_300: name = "parameter_300" + original_name = "batch_norm_17.w_1" shape = [640] dtype = "float32" min_val = float("-0.482993") @@ -3311,6 +3612,7 @@ class Program_weight_tensor_parameter_300: class Program_weight_tensor_parameter_301: name = "parameter_301" + original_name = "conv2d_17.w_0" shape = [640, 1, 3, 3] dtype = "float32" min_val = float("-0.235092") @@ -3322,6 +3624,7 @@ class Program_weight_tensor_parameter_301: class Program_weight_tensor_parameter_302: name = "parameter_302" + original_name = "batch_norm_16.b_0" shape = [640] dtype = "float32" min_val = float("-2.23127") @@ -3333,6 +3636,7 @@ class Program_weight_tensor_parameter_302: class Program_weight_tensor_parameter_303: name = "parameter_303" + original_name = "batch_norm_16.w_0" shape = [640] dtype = "float32" min_val = float("-0.0383393") @@ -3344,6 +3648,7 @@ class Program_weight_tensor_parameter_303: class Program_weight_tensor_parameter_304: name = "parameter_304" + original_name = "batch_norm_16.w_2" shape = [640] dtype = "float32" min_val = float("1.66614e-42") @@ -3355,6 +3660,7 @@ class Program_weight_tensor_parameter_304: class Program_weight_tensor_parameter_305: name = "parameter_305" + original_name = "batch_norm_16.w_1" shape = [640] dtype = "float32" min_val = float("-1.26517") @@ -3366,6 +3672,7 @@ class Program_weight_tensor_parameter_305: class Program_weight_tensor_parameter_306: name = "parameter_306" + original_name = "conv2d_16.w_0" shape = [640, 160, 1, 1] dtype = "float32" min_val = float("-0.338378") @@ -3377,6 +3684,7 @@ class Program_weight_tensor_parameter_306: class Program_weight_tensor_parameter_307: name = "parameter_307" + original_name = "batch_norm_15.b_0" shape = [160] dtype = "float32" min_val = float("-2.02857") @@ -3388,6 +3696,7 @@ class Program_weight_tensor_parameter_307: class Program_weight_tensor_parameter_308: name = "parameter_308" + original_name = "batch_norm_15.w_0" shape = [160] dtype = "float32" min_val = float("-0.680062") @@ -3399,6 +3708,7 @@ class Program_weight_tensor_parameter_308: class Program_weight_tensor_parameter_309: name = "parameter_309" + original_name = "batch_norm_15.w_2" shape = [160] dtype = "float32" min_val = float("3.3703e-05") @@ -3410,6 +3720,7 @@ class Program_weight_tensor_parameter_309: class Program_weight_tensor_parameter_310: name = "parameter_310" + original_name = "batch_norm_15.w_1" shape = [160] dtype = "float32" min_val = float("-0.549658") @@ -3421,6 +3732,7 @@ class Program_weight_tensor_parameter_310: class Program_weight_tensor_parameter_311: name = "parameter_311" + original_name = "conv2d_15.w_0" shape = [160, 1, 3, 3] dtype = "float32" min_val = float("-0.314294") @@ -3432,6 +3744,7 @@ class Program_weight_tensor_parameter_311: class Program_weight_tensor_parameter_312: name = "parameter_312" + original_name = "batch_norm_14.b_0" shape = [160] dtype = "float32" min_val = float("-4.37019") @@ -3443,6 +3756,7 @@ class Program_weight_tensor_parameter_312: class Program_weight_tensor_parameter_313: name = "parameter_313" + original_name = "batch_norm_14.w_0" shape = [160] dtype = "float32" min_val = float("-0.0515668") @@ -3454,6 +3768,7 @@ class Program_weight_tensor_parameter_313: class Program_weight_tensor_parameter_314: name = "parameter_314" + original_name = "batch_norm_14.w_2" shape = [160] dtype = "float32" min_val = float("0.521728") @@ -3465,6 +3780,7 @@ class Program_weight_tensor_parameter_314: class Program_weight_tensor_parameter_315: name = "parameter_315" + original_name = "batch_norm_14.w_1" shape = [160] dtype = "float32" min_val = float("-3.24998") @@ -3476,6 +3792,7 @@ class Program_weight_tensor_parameter_315: class Program_weight_tensor_parameter_316: name = "parameter_316" + original_name = "conv2d_14.w_0" shape = [160, 480, 1, 1] dtype = "float32" min_val = float("-0.379788") @@ -3487,6 +3804,7 @@ class Program_weight_tensor_parameter_316: class Program_weight_tensor_parameter_317: name = "parameter_317" + original_name = "batch_norm_13.b_0" shape = [480] dtype = "float32" min_val = float("-3.61694") @@ -3498,6 +3816,7 @@ class Program_weight_tensor_parameter_317: class Program_weight_tensor_parameter_318: name = "parameter_318" + original_name = "batch_norm_13.w_0" shape = [480] dtype = "float32" min_val = float("0.427867") @@ -3509,6 +3828,7 @@ class Program_weight_tensor_parameter_318: class Program_weight_tensor_parameter_319: name = "parameter_319" + original_name = "batch_norm_13.w_2" shape = [480] dtype = "float32" min_val = float("1.36767e-42") @@ -3520,6 +3840,7 @@ class Program_weight_tensor_parameter_319: class Program_weight_tensor_parameter_320: name = "parameter_320" + original_name = "batch_norm_13.w_1" shape = [480] dtype = "float32" min_val = float("-1.16914") @@ -3531,6 +3852,7 @@ class Program_weight_tensor_parameter_320: class Program_weight_tensor_parameter_321: name = "parameter_321" + original_name = "conv2d_13.w_0" shape = [480, 1, 5, 5] dtype = "float32" min_val = float("-0.196789") @@ -3542,6 +3864,7 @@ class Program_weight_tensor_parameter_321: class Program_weight_tensor_parameter_322: name = "parameter_322" + original_name = "batch_norm_12.b_0" shape = [480] dtype = "float32" min_val = float("-1.56259") @@ -3553,6 +3876,7 @@ class Program_weight_tensor_parameter_322: class Program_weight_tensor_parameter_323: name = "parameter_323" + original_name = "batch_norm_12.w_0" shape = [480] dtype = "float32" min_val = float("0.172465") @@ -3564,6 +3888,7 @@ class Program_weight_tensor_parameter_323: class Program_weight_tensor_parameter_324: name = "parameter_324" + original_name = "batch_norm_12.w_2" shape = [480] dtype = "float32" min_val = float("1.67876e-42") @@ -3575,6 +3900,7 @@ class Program_weight_tensor_parameter_324: class Program_weight_tensor_parameter_325: name = "parameter_325" + original_name = "batch_norm_12.w_1" shape = [480] dtype = "float32" min_val = float("-1.05546") @@ -3586,6 +3912,7 @@ class Program_weight_tensor_parameter_325: class Program_weight_tensor_parameter_326: name = "parameter_326" + original_name = "conv2d_12.w_0" shape = [480, 80, 1, 1] dtype = "float32" min_val = float("-0.474654") @@ -3597,6 +3924,7 @@ class Program_weight_tensor_parameter_326: class Program_weight_tensor_parameter_327: name = "parameter_327" + original_name = "batch_norm_11.b_0" shape = [80] dtype = "float32" min_val = float("-1.92372") @@ -3608,6 +3936,7 @@ class Program_weight_tensor_parameter_327: class Program_weight_tensor_parameter_328: name = "parameter_328" + original_name = "batch_norm_11.w_0" shape = [80] dtype = "float32" min_val = float("0.482362") @@ -3619,6 +3948,7 @@ class Program_weight_tensor_parameter_328: class Program_weight_tensor_parameter_329: name = "parameter_329" + original_name = "batch_norm_11.w_2" shape = [80] dtype = "float32" min_val = float("0.0323412") @@ -3630,6 +3960,7 @@ class Program_weight_tensor_parameter_329: class Program_weight_tensor_parameter_330: name = "parameter_330" + original_name = "batch_norm_11.w_1" shape = [80] dtype = "float32" min_val = float("-0.702961") @@ -3641,6 +3972,7 @@ class Program_weight_tensor_parameter_330: class Program_weight_tensor_parameter_331: name = "parameter_331" + original_name = "conv2d_11.w_0" shape = [80, 1, 3, 3] dtype = "float32" min_val = float("-0.257872") @@ -3652,6 +3984,7 @@ class Program_weight_tensor_parameter_331: class Program_weight_tensor_parameter_332: name = "parameter_332" + original_name = "batch_norm_10.b_0" shape = [80] dtype = "float32" min_val = float("-2.6901") @@ -3663,6 +3996,7 @@ class Program_weight_tensor_parameter_332: class Program_weight_tensor_parameter_333: name = "parameter_333" + original_name = "batch_norm_10.w_0" shape = [80] dtype = "float32" min_val = float("-0.124356") @@ -3674,6 +4008,7 @@ class Program_weight_tensor_parameter_333: class Program_weight_tensor_parameter_334: name = "parameter_334" + original_name = "batch_norm_10.w_2" shape = [80] dtype = "float32" min_val = float("0.0772324") @@ -3685,6 +4020,7 @@ class Program_weight_tensor_parameter_334: class Program_weight_tensor_parameter_335: name = "parameter_335" + original_name = "batch_norm_10.w_1" shape = [80] dtype = "float32" min_val = float("-0.722866") @@ -3696,6 +4032,7 @@ class Program_weight_tensor_parameter_335: class Program_weight_tensor_parameter_336: name = "parameter_336" + original_name = "conv2d_10.w_0" shape = [80, 160, 1, 1] dtype = "float32" min_val = float("-0.253241") @@ -3707,6 +4044,7 @@ class Program_weight_tensor_parameter_336: class Program_weight_tensor_parameter_337: name = "parameter_337" + original_name = "batch_norm_9.b_0" shape = [160] dtype = "float32" min_val = float("-4.85783") @@ -3718,6 +4056,7 @@ class Program_weight_tensor_parameter_337: class Program_weight_tensor_parameter_338: name = "parameter_338" + original_name = "batch_norm_9.w_0" shape = [160] dtype = "float32" min_val = float("0.34939") @@ -3729,6 +4068,7 @@ class Program_weight_tensor_parameter_338: class Program_weight_tensor_parameter_339: name = "parameter_339" + original_name = "batch_norm_9.w_2" shape = [160] dtype = "float32" min_val = float("0.000161736") @@ -3740,6 +4080,7 @@ class Program_weight_tensor_parameter_339: class Program_weight_tensor_parameter_340: name = "parameter_340" + original_name = "batch_norm_9.w_1" shape = [160] dtype = "float32" min_val = float("-0.734053") @@ -3751,6 +4092,7 @@ class Program_weight_tensor_parameter_340: class Program_weight_tensor_parameter_341: name = "parameter_341" + original_name = "conv2d_9.w_0" shape = [160, 1, 3, 3] dtype = "float32" min_val = float("-0.217529") @@ -3762,6 +4104,7 @@ class Program_weight_tensor_parameter_341: class Program_weight_tensor_parameter_342: name = "parameter_342" + original_name = "batch_norm_8.b_0" shape = [160] dtype = "float32" min_val = float("-1.24806") @@ -3773,6 +4116,7 @@ class Program_weight_tensor_parameter_342: class Program_weight_tensor_parameter_343: name = "parameter_343" + original_name = "batch_norm_8.w_0" shape = [160] dtype = "float32" min_val = float("0.316254") @@ -3784,6 +4128,7 @@ class Program_weight_tensor_parameter_343: class Program_weight_tensor_parameter_344: name = "parameter_344" + original_name = "batch_norm_8.w_2" shape = [160] dtype = "float32" min_val = float("0.0989657") @@ -3795,6 +4140,7 @@ class Program_weight_tensor_parameter_344: class Program_weight_tensor_parameter_345: name = "parameter_345" + original_name = "batch_norm_8.w_1" shape = [160] dtype = "float32" min_val = float("-0.82059") @@ -3806,6 +4152,7 @@ class Program_weight_tensor_parameter_345: class Program_weight_tensor_parameter_346: name = "parameter_346" + original_name = "conv2d_8.w_0" shape = [160, 80, 1, 1] dtype = "float32" min_val = float("-0.334067") @@ -3817,6 +4164,7 @@ class Program_weight_tensor_parameter_346: class Program_weight_tensor_parameter_347: name = "parameter_347" + original_name = "batch_norm_7.b_0" shape = [80] dtype = "float32" min_val = float("-2.96819") @@ -3828,6 +4176,7 @@ class Program_weight_tensor_parameter_347: class Program_weight_tensor_parameter_348: name = "parameter_348" + original_name = "batch_norm_7.w_0" shape = [80] dtype = "float32" min_val = float("-0.068095") @@ -3839,6 +4188,7 @@ class Program_weight_tensor_parameter_348: class Program_weight_tensor_parameter_349: name = "parameter_349" + original_name = "batch_norm_7.w_2" shape = [80] dtype = "float32" min_val = float("0.00603855") @@ -3850,6 +4200,7 @@ class Program_weight_tensor_parameter_349: class Program_weight_tensor_parameter_350: name = "parameter_350" + original_name = "batch_norm_7.w_1" shape = [80] dtype = "float32" min_val = float("-0.400424") @@ -3861,6 +4212,7 @@ class Program_weight_tensor_parameter_350: class Program_weight_tensor_parameter_351: name = "parameter_351" + original_name = "conv2d_7.w_0" shape = [80, 1, 3, 3] dtype = "float32" min_val = float("-0.272232") @@ -3872,6 +4224,7 @@ class Program_weight_tensor_parameter_351: class Program_weight_tensor_parameter_352: name = "parameter_352" + original_name = "batch_norm_6.b_0" shape = [80] dtype = "float32" min_val = float("-1.77743") @@ -3883,6 +4236,7 @@ class Program_weight_tensor_parameter_352: class Program_weight_tensor_parameter_353: name = "parameter_353" + original_name = "batch_norm_6.w_0" shape = [80] dtype = "float32" min_val = float("0.46935") @@ -3894,6 +4248,7 @@ class Program_weight_tensor_parameter_353: class Program_weight_tensor_parameter_354: name = "parameter_354" + original_name = "batch_norm_6.w_2" shape = [80] dtype = "float32" min_val = float("0.127531") @@ -3905,6 +4260,7 @@ class Program_weight_tensor_parameter_354: class Program_weight_tensor_parameter_355: name = "parameter_355" + original_name = "batch_norm_6.w_1" shape = [80] dtype = "float32" min_val = float("-1.89619") @@ -3916,6 +4272,7 @@ class Program_weight_tensor_parameter_355: class Program_weight_tensor_parameter_356: name = "parameter_356" + original_name = "conv2d_6.w_0" shape = [80, 192, 1, 1] dtype = "float32" min_val = float("-0.321269") @@ -3927,6 +4284,7 @@ class Program_weight_tensor_parameter_356: class Program_weight_tensor_parameter_357: name = "parameter_357" + original_name = "batch_norm_5.b_0" shape = [192] dtype = "float32" min_val = float("-1.04199") @@ -3938,6 +4296,7 @@ class Program_weight_tensor_parameter_357: class Program_weight_tensor_parameter_358: name = "parameter_358" + original_name = "batch_norm_5.w_0" shape = [192] dtype = "float32" min_val = float("0.428364") @@ -3949,6 +4308,7 @@ class Program_weight_tensor_parameter_358: class Program_weight_tensor_parameter_359: name = "parameter_359" + original_name = "batch_norm_5.w_2" shape = [192] dtype = "float32" min_val = float("0.00124346") @@ -3960,6 +4320,7 @@ class Program_weight_tensor_parameter_359: class Program_weight_tensor_parameter_360: name = "parameter_360" + original_name = "batch_norm_5.w_1" shape = [192] dtype = "float32" min_val = float("-1.17843") @@ -3971,6 +4332,7 @@ class Program_weight_tensor_parameter_360: class Program_weight_tensor_parameter_361: name = "parameter_361" + original_name = "conv2d_5.w_0" shape = [192, 1, 5, 5] dtype = "float32" min_val = float("-0.208177") @@ -3982,6 +4344,7 @@ class Program_weight_tensor_parameter_361: class Program_weight_tensor_parameter_362: name = "parameter_362" + original_name = "batch_norm_4.b_0" shape = [192] dtype = "float32" min_val = float("-1.25766") @@ -3993,6 +4356,7 @@ class Program_weight_tensor_parameter_362: class Program_weight_tensor_parameter_363: name = "parameter_363" + original_name = "batch_norm_4.w_0" shape = [192] dtype = "float32" min_val = float("0.636521") @@ -4004,6 +4368,7 @@ class Program_weight_tensor_parameter_363: class Program_weight_tensor_parameter_364: name = "parameter_364" + original_name = "batch_norm_4.w_2" shape = [192] dtype = "float32" min_val = float("0.0399959") @@ -4015,6 +4380,7 @@ class Program_weight_tensor_parameter_364: class Program_weight_tensor_parameter_365: name = "parameter_365" + original_name = "batch_norm_4.w_1" shape = [192] dtype = "float32" min_val = float("-0.716985") @@ -4026,6 +4392,7 @@ class Program_weight_tensor_parameter_365: class Program_weight_tensor_parameter_366: name = "parameter_366" + original_name = "conv2d_4.w_0" shape = [192, 48, 1, 1] dtype = "float32" min_val = float("-0.598131") @@ -4037,6 +4404,7 @@ class Program_weight_tensor_parameter_366: class Program_weight_tensor_parameter_367: name = "parameter_367" + original_name = "batch_norm_3.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -4046,6 +4414,7 @@ class Program_weight_tensor_parameter_367: class Program_weight_tensor_parameter_368: name = "parameter_368" + original_name = "batch_norm_3.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -4055,6 +4424,7 @@ class Program_weight_tensor_parameter_368: class Program_weight_tensor_parameter_369: name = "parameter_369" + original_name = "batch_norm_3.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -4064,6 +4434,7 @@ class Program_weight_tensor_parameter_369: class Program_weight_tensor_parameter_370: name = "parameter_370" + original_name = "batch_norm_3.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -4073,6 +4444,7 @@ class Program_weight_tensor_parameter_370: class Program_weight_tensor_parameter_371: name = "parameter_371" + original_name = "conv2d_3.w_0" shape = [48, 1, 3, 3] dtype = "float32" min_val = float("-0.328685") @@ -4084,6 +4456,7 @@ class Program_weight_tensor_parameter_371: class Program_weight_tensor_parameter_372: name = "parameter_372" + original_name = "batch_norm_2.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -4093,6 +4466,7 @@ class Program_weight_tensor_parameter_372: class Program_weight_tensor_parameter_373: name = "parameter_373" + original_name = "batch_norm_2.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -4102,6 +4476,7 @@ class Program_weight_tensor_parameter_373: class Program_weight_tensor_parameter_374: name = "parameter_374" + original_name = "batch_norm_2.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -4111,6 +4486,7 @@ class Program_weight_tensor_parameter_374: class Program_weight_tensor_parameter_375: name = "parameter_375" + original_name = "batch_norm_2.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -4120,6 +4496,7 @@ class Program_weight_tensor_parameter_375: class Program_weight_tensor_parameter_376: name = "parameter_376" + original_name = "conv2d_2.w_0" shape = [48, 128, 1, 1] dtype = "float32" min_val = float("-0.313397") @@ -4131,6 +4508,7 @@ class Program_weight_tensor_parameter_376: class Program_weight_tensor_parameter_377: name = "parameter_377" + original_name = "batch_norm_1.b_0" shape = [128] dtype = "float32" min_val = float("-6.13005") @@ -4142,6 +4520,7 @@ class Program_weight_tensor_parameter_377: class Program_weight_tensor_parameter_378: name = "parameter_378" + original_name = "batch_norm_1.w_0" shape = [128] dtype = "float32" min_val = float("0.519146") @@ -4153,6 +4532,7 @@ class Program_weight_tensor_parameter_378: class Program_weight_tensor_parameter_379: name = "parameter_379" + original_name = "batch_norm_1.w_2" shape = [128] dtype = "float32" min_val = float("0.536347") @@ -4164,6 +4544,7 @@ class Program_weight_tensor_parameter_379: class Program_weight_tensor_parameter_380: name = "parameter_380" + original_name = "batch_norm_1.w_1" shape = [128] dtype = "float32" min_val = float("-3.64792") @@ -4175,6 +4556,7 @@ class Program_weight_tensor_parameter_380: class Program_weight_tensor_parameter_381: name = "parameter_381" + original_name = "conv2d_1.w_0" shape = [128, 32, 3, 3] dtype = "float32" min_val = float("-0.488146") @@ -4186,6 +4568,7 @@ class Program_weight_tensor_parameter_381: class Program_weight_tensor_parameter_382: name = "parameter_382" + original_name = "batch_norm_0.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -4195,6 +4578,7 @@ class Program_weight_tensor_parameter_382: class Program_weight_tensor_parameter_383: name = "parameter_383" + original_name = "batch_norm_0.w_0" shape = [32] dtype = "float32" min_val = float("0") @@ -4204,6 +4588,7 @@ class Program_weight_tensor_parameter_383: class Program_weight_tensor_parameter_384: name = "parameter_384" + original_name = "batch_norm_0.w_2" shape = [32] dtype = "float32" min_val = float("0") @@ -4213,6 +4598,7 @@ class Program_weight_tensor_parameter_384: class Program_weight_tensor_parameter_385: name = "parameter_385" + original_name = "batch_norm_0.w_1" shape = [32] dtype = "float32" min_val = float("0") @@ -4222,6 +4608,7 @@ class Program_weight_tensor_parameter_385: class Program_weight_tensor_parameter_386: name = "parameter_386" + original_name = "conv2d_0.w_0" shape = [32, 3, 3, 3] dtype = "float32" min_val = float("-0.15224") diff --git a/paddle_samples/PaddleX/MobileNetV4_hybrid_medium/subgraph_0/input_meta.py b/paddle_samples/PaddleX/MobileNetV4_hybrid_medium/subgraph_0/input_meta.py index c814c40ae..f4b03b8e8 100644 --- a/paddle_samples/PaddleX/MobileNetV4_hybrid_medium/subgraph_0/input_meta.py +++ b/paddle_samples/PaddleX/MobileNetV4_hybrid_medium/subgraph_0/input_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_data_0: name = "data_0" + original_name = "param_30" shape = [80] dtype = "float32" min_val = float("-2.76274") @@ -11,6 +12,7 @@ class Program_weight_tensor_data_0: class Program_weight_tensor_data_1: name = "data_1" + original_name = "param_31" shape = [80] dtype = "float32" min_val = float("-1.41258") @@ -22,6 +24,7 @@ class Program_weight_tensor_data_1: class Program_weight_tensor_data_2: name = "data_2" + original_name = "param_32" shape = [160] dtype = "float32" min_val = float("-0.89881") @@ -33,6 +36,7 @@ class Program_weight_tensor_data_2: class Program_weight_tensor_data_3: name = "data_3" + original_name = "param_33" shape = [160] dtype = "float32" min_val = float("-0.971696") @@ -44,6 +48,7 @@ class Program_weight_tensor_data_3: class Program_weight_tensor_data_4: name = "data_4" + original_name = "param_34" shape = [160] dtype = "float32" min_val = float("-0.677994") @@ -55,6 +60,7 @@ class Program_weight_tensor_data_4: class Program_weight_tensor_data_5: name = "data_5" + original_name = "param_35" shape = [160] dtype = "float32" min_val = float("-0.810245") @@ -66,6 +72,7 @@ class Program_weight_tensor_data_5: class Program_weight_tensor_data_6: name = "data_6" + original_name = "param_36" shape = [160] dtype = "float32" min_val = float("-1.51299") @@ -77,6 +84,7 @@ class Program_weight_tensor_data_6: class Program_weight_tensor_data_7: name = "data_7" + original_name = "param_37" shape = [160] dtype = "float32" min_val = float("-0.968888") @@ -88,6 +96,7 @@ class Program_weight_tensor_data_7: class Program_weight_tensor_data_8: name = "data_8" + original_name = "param_38" shape = [160] dtype = "float32" min_val = float("-4.18515") @@ -99,6 +108,7 @@ class Program_weight_tensor_data_8: class Program_weight_tensor_data_9: name = "data_9" + original_name = "param_39" shape = [160] dtype = "float32" min_val = float("-1.11061") @@ -110,6 +120,7 @@ class Program_weight_tensor_data_9: class Program_weight_tensor_data_10: name = "data_10" + original_name = "param_40" shape = [160] dtype = "float32" min_val = float("-4.79678") @@ -121,6 +132,7 @@ class Program_weight_tensor_data_10: class Program_weight_tensor_data_11: name = "data_11" + original_name = "param_41" shape = [160] dtype = "float32" min_val = float("-1.93839") @@ -132,6 +144,7 @@ class Program_weight_tensor_data_11: class Program_weight_tensor_data_12: name = "data_12" + original_name = "param_42" shape = [160] dtype = "float32" min_val = float("-4.11024") @@ -143,6 +156,7 @@ class Program_weight_tensor_data_12: class Program_weight_tensor_data_13: name = "data_13" + original_name = "param_43" shape = [160] dtype = "float32" min_val = float("-5.01894") @@ -154,6 +168,7 @@ class Program_weight_tensor_data_13: class Program_weight_tensor_data_14: name = "data_14" + original_name = "param_44" shape = [256] dtype = "float32" min_val = float("-1.36578") @@ -165,6 +180,7 @@ class Program_weight_tensor_data_14: class Program_weight_tensor_data_15: name = "data_15" + original_name = "param_45" shape = [256] dtype = "float32" min_val = float("-0.620924") @@ -176,6 +192,7 @@ class Program_weight_tensor_data_15: class Program_weight_tensor_data_16: name = "data_16" + original_name = "param_46" shape = [256] dtype = "float32" min_val = float("-0.559085") @@ -187,6 +204,7 @@ class Program_weight_tensor_data_16: class Program_weight_tensor_data_17: name = "data_17" + original_name = "param_47" shape = [256] dtype = "float32" min_val = float("-0.813264") @@ -198,6 +216,7 @@ class Program_weight_tensor_data_17: class Program_weight_tensor_data_18: name = "data_18" + original_name = "param_48" shape = [256] dtype = "float32" min_val = float("-0.622399") @@ -209,6 +228,7 @@ class Program_weight_tensor_data_18: class Program_weight_tensor_data_19: name = "data_19" + original_name = "param_49" shape = [256] dtype = "float32" min_val = float("-0.641245") @@ -220,6 +240,7 @@ class Program_weight_tensor_data_19: class Program_weight_tensor_data_20: name = "data_20" + original_name = "param_50" shape = [256] dtype = "float32" min_val = float("-0.878394") @@ -231,6 +252,7 @@ class Program_weight_tensor_data_20: class Program_weight_tensor_data_21: name = "data_21" + original_name = "param_51" shape = [256] dtype = "float32" min_val = float("-0.733214") @@ -242,6 +264,7 @@ class Program_weight_tensor_data_21: class Program_weight_tensor_data_22: name = "data_22" + original_name = "param_52" shape = [256] dtype = "float32" min_val = float("-2.63435") @@ -253,6 +276,7 @@ class Program_weight_tensor_data_22: class Program_weight_tensor_data_23: name = "data_23" + original_name = "param_53" shape = [256] dtype = "float32" min_val = float("-0.679309") @@ -264,6 +288,7 @@ class Program_weight_tensor_data_23: class Program_weight_tensor_data_24: name = "data_24" + original_name = "param_54" shape = [256] dtype = "float32" min_val = float("-2.32209") @@ -275,6 +300,7 @@ class Program_weight_tensor_data_24: class Program_weight_tensor_data_25: name = "data_25" + original_name = "param_55" shape = [256] dtype = "float32" min_val = float("-0.745947") @@ -286,6 +312,7 @@ class Program_weight_tensor_data_25: class Program_weight_tensor_data_26: name = "data_26" + original_name = "param_56" shape = [256] dtype = "float32" min_val = float("-2.16125") @@ -297,6 +324,7 @@ class Program_weight_tensor_data_26: class Program_weight_tensor_data_27: name = "data_27" + original_name = "param_57" shape = [256] dtype = "float32" min_val = float("-0.832511") @@ -308,6 +336,7 @@ class Program_weight_tensor_data_27: class Program_weight_tensor_data_28: name = "data_28" + original_name = "param_58" shape = [256] dtype = "float32" min_val = float("-3.37759") @@ -319,6 +348,7 @@ class Program_weight_tensor_data_28: class Program_weight_tensor_data_29: name = "data_29" + original_name = "param_59" shape = [256] dtype = "float32" min_val = float("-1.74768") @@ -330,6 +360,7 @@ class Program_weight_tensor_data_29: class Program_weight_tensor_data_30: name = "data_30" + original_name = "var_699" shape = [60, 3, 224, 224] dtype = "float32" min_val = float("-4.43116") diff --git a/paddle_samples/PaddleX/MobileNetV4_hybrid_medium/subgraph_0/weight_meta.py b/paddle_samples/PaddleX/MobileNetV4_hybrid_medium/subgraph_0/weight_meta.py index 7dc20d399..67f658882 100644 --- a/paddle_samples/PaddleX/MobileNetV4_hybrid_medium/subgraph_0/weight_meta.py +++ b/paddle_samples/PaddleX/MobileNetV4_hybrid_medium/subgraph_0/weight_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_parameter_0: name = "parameter_0" + original_name = "linear_0.b_0" shape = [102] dtype = "float32" min_val = float("-0.109698") @@ -11,6 +12,7 @@ class Program_weight_tensor_parameter_0: class Program_weight_tensor_parameter_1: name = "parameter_1" + original_name = "linear_0.w_0" shape = [1280, 102] dtype = "float32" min_val = float("-0.297496") @@ -22,6 +24,7 @@ class Program_weight_tensor_parameter_1: class Program_weight_tensor_parameter_2: name = "parameter_2" + original_name = "batch_norm_95.b_0" shape = [1280] dtype = "float32" min_val = float("-1.74046") @@ -33,6 +36,7 @@ class Program_weight_tensor_parameter_2: class Program_weight_tensor_parameter_3: name = "parameter_3" + original_name = "batch_norm_95.w_0" shape = [1280] dtype = "float32" min_val = float("0.407571") @@ -44,6 +48,7 @@ class Program_weight_tensor_parameter_3: class Program_weight_tensor_parameter_4: name = "parameter_4" + original_name = "batch_norm_95.w_2" shape = [1280] dtype = "float32" min_val = float("0.0387801") @@ -55,6 +60,7 @@ class Program_weight_tensor_parameter_4: class Program_weight_tensor_parameter_5: name = "parameter_5" + original_name = "batch_norm_95.w_1" shape = [1280] dtype = "float32" min_val = float("-0.516898") @@ -66,6 +72,7 @@ class Program_weight_tensor_parameter_5: class Program_weight_tensor_parameter_6: name = "parameter_6" + original_name = "conv2d_119.w_0" shape = [1280, 960, 1, 1] dtype = "float32" min_val = float("-0.378983") @@ -77,6 +84,7 @@ class Program_weight_tensor_parameter_6: class Program_weight_tensor_parameter_7: name = "parameter_7" + original_name = "batch_norm_94.b_0" shape = [960] dtype = "float32" min_val = float("-2.80404") @@ -88,6 +96,7 @@ class Program_weight_tensor_parameter_7: class Program_weight_tensor_parameter_8: name = "parameter_8" + original_name = "batch_norm_94.w_0" shape = [960] dtype = "float32" min_val = float("0.00355617") @@ -99,6 +108,7 @@ class Program_weight_tensor_parameter_8: class Program_weight_tensor_parameter_9: name = "parameter_9" + original_name = "batch_norm_94.w_2" shape = [960] dtype = "float32" min_val = float("4515.69") @@ -110,6 +120,7 @@ class Program_weight_tensor_parameter_9: class Program_weight_tensor_parameter_10: name = "parameter_10" + original_name = "batch_norm_94.w_1" shape = [960] dtype = "float32" min_val = float("-137.084") @@ -121,6 +132,7 @@ class Program_weight_tensor_parameter_10: class Program_weight_tensor_parameter_11: name = "parameter_11" + original_name = "conv2d_118.w_0" shape = [960, 256, 1, 1] dtype = "float32" min_val = float("-0.297642") @@ -132,6 +144,7 @@ class Program_weight_tensor_parameter_11: class Program_weight_tensor_parameter_12: name = "parameter_12" + original_name = "batch_norm_93.b_0" shape = [256] dtype = "float32" min_val = float("-1.1106") @@ -143,6 +156,7 @@ class Program_weight_tensor_parameter_12: class Program_weight_tensor_parameter_13: name = "parameter_13" + original_name = "batch_norm_93.w_0" shape = [256] dtype = "float32" min_val = float("-0.823492") @@ -154,6 +168,7 @@ class Program_weight_tensor_parameter_13: class Program_weight_tensor_parameter_14: name = "parameter_14" + original_name = "batch_norm_93.w_2" shape = [256] dtype = "float32" min_val = float("0.167155") @@ -165,6 +180,7 @@ class Program_weight_tensor_parameter_14: class Program_weight_tensor_parameter_15: name = "parameter_15" + original_name = "batch_norm_93.w_1" shape = [256] dtype = "float32" min_val = float("-0.394914") @@ -176,6 +192,7 @@ class Program_weight_tensor_parameter_15: class Program_weight_tensor_parameter_16: name = "parameter_16" + original_name = "conv2d_117.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.300127") @@ -187,6 +204,7 @@ class Program_weight_tensor_parameter_16: class Program_weight_tensor_parameter_17: name = "parameter_17" + original_name = "batch_norm_92.b_0" shape = [1024] dtype = "float32" min_val = float("-6.23811") @@ -198,6 +216,7 @@ class Program_weight_tensor_parameter_17: class Program_weight_tensor_parameter_18: name = "parameter_18" + original_name = "batch_norm_92.w_0" shape = [1024] dtype = "float32" min_val = float("0.00181757") @@ -209,6 +228,7 @@ class Program_weight_tensor_parameter_18: class Program_weight_tensor_parameter_19: name = "parameter_19" + original_name = "batch_norm_92.w_2" shape = [1024] dtype = "float32" min_val = float("0.283647") @@ -220,6 +240,7 @@ class Program_weight_tensor_parameter_19: class Program_weight_tensor_parameter_20: name = "parameter_20" + original_name = "batch_norm_92.w_1" shape = [1024] dtype = "float32" min_val = float("-1.16686") @@ -231,6 +252,7 @@ class Program_weight_tensor_parameter_20: class Program_weight_tensor_parameter_21: name = "parameter_21" + original_name = "conv2d_116.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.410583") @@ -242,6 +264,7 @@ class Program_weight_tensor_parameter_21: class Program_weight_tensor_parameter_22: name = "parameter_22" + original_name = "batch_norm_91.b_0" shape = [256] dtype = "float32" min_val = float("-1.6492") @@ -253,6 +276,7 @@ class Program_weight_tensor_parameter_22: class Program_weight_tensor_parameter_23: name = "parameter_23" + original_name = "batch_norm_91.w_0" shape = [256] dtype = "float32" min_val = float("0.57827") @@ -264,6 +288,7 @@ class Program_weight_tensor_parameter_23: class Program_weight_tensor_parameter_24: name = "parameter_24" + original_name = "batch_norm_91.w_2" shape = [256] dtype = "float32" min_val = float("93.1919") @@ -275,6 +300,7 @@ class Program_weight_tensor_parameter_24: class Program_weight_tensor_parameter_25: name = "parameter_25" + original_name = "batch_norm_91.w_1" shape = [256] dtype = "float32" min_val = float("-21.5691") @@ -286,6 +312,7 @@ class Program_weight_tensor_parameter_25: class Program_weight_tensor_parameter_26: name = "parameter_26" + original_name = "conv2d_115.w_0" shape = [256, 1, 5, 5] dtype = "float32" min_val = float("-0.519751") @@ -297,6 +324,7 @@ class Program_weight_tensor_parameter_26: class Program_weight_tensor_parameter_27: name = "parameter_27" + original_name = "conv2d_114.w_0" shape = [256, 256, 1, 1] dtype = "float32" min_val = float("-0.386377") @@ -308,6 +336,7 @@ class Program_weight_tensor_parameter_27: class Program_weight_tensor_parameter_28: name = "parameter_28" + original_name = "conv2d_113.w_0" shape = [64, 256, 1, 1] dtype = "float32" min_val = float("-0.377827") @@ -319,6 +348,7 @@ class Program_weight_tensor_parameter_28: class Program_weight_tensor_parameter_29: name = "parameter_29" + original_name = "conv2d_112.w_0" shape = [64, 256, 1, 1] dtype = "float32" min_val = float("-0.33135") @@ -330,6 +360,7 @@ class Program_weight_tensor_parameter_29: class Program_weight_tensor_parameter_30: name = "parameter_30" + original_name = "conv2d_111.w_0" shape = [256, 256, 1, 1] dtype = "float32" min_val = float("-0.331923") @@ -341,6 +372,7 @@ class Program_weight_tensor_parameter_30: class Program_weight_tensor_parameter_31: name = "parameter_31" + original_name = "batch_norm_90.b_0" shape = [256] dtype = "float32" min_val = float("-1.85324") @@ -352,6 +384,7 @@ class Program_weight_tensor_parameter_31: class Program_weight_tensor_parameter_32: name = "parameter_32" + original_name = "batch_norm_90.w_0" shape = [256] dtype = "float32" min_val = float("0.300161") @@ -363,6 +396,7 @@ class Program_weight_tensor_parameter_32: class Program_weight_tensor_parameter_33: name = "parameter_33" + original_name = "batch_norm_90.w_2" shape = [256] dtype = "float32" min_val = float("788.619") @@ -374,6 +408,7 @@ class Program_weight_tensor_parameter_33: class Program_weight_tensor_parameter_34: name = "parameter_34" + original_name = "batch_norm_90.w_1" shape = [256] dtype = "float32" min_val = float("-35.0449") @@ -385,6 +420,7 @@ class Program_weight_tensor_parameter_34: class Program_weight_tensor_parameter_35: name = "parameter_35" + original_name = "batch_norm_89.b_0" shape = [256] dtype = "float32" min_val = float("-0.980217") @@ -396,6 +432,7 @@ class Program_weight_tensor_parameter_35: class Program_weight_tensor_parameter_36: name = "parameter_36" + original_name = "batch_norm_89.w_0" shape = [256] dtype = "float32" min_val = float("-0.816533") @@ -407,6 +444,7 @@ class Program_weight_tensor_parameter_36: class Program_weight_tensor_parameter_37: name = "parameter_37" + original_name = "batch_norm_89.w_2" shape = [256] dtype = "float32" min_val = float("0.0522279") @@ -418,6 +456,7 @@ class Program_weight_tensor_parameter_37: class Program_weight_tensor_parameter_38: name = "parameter_38" + original_name = "batch_norm_89.w_1" shape = [256] dtype = "float32" min_val = float("-0.232943") @@ -429,6 +468,7 @@ class Program_weight_tensor_parameter_38: class Program_weight_tensor_parameter_39: name = "parameter_39" + original_name = "conv2d_110.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.333673") @@ -440,6 +480,7 @@ class Program_weight_tensor_parameter_39: class Program_weight_tensor_parameter_40: name = "parameter_40" + original_name = "batch_norm_88.b_0" shape = [1024] dtype = "float32" min_val = float("-2.94065") @@ -451,6 +492,7 @@ class Program_weight_tensor_parameter_40: class Program_weight_tensor_parameter_41: name = "parameter_41" + original_name = "batch_norm_88.w_0" shape = [1024] dtype = "float32" min_val = float("-0.045859") @@ -462,6 +504,7 @@ class Program_weight_tensor_parameter_41: class Program_weight_tensor_parameter_42: name = "parameter_42" + original_name = "batch_norm_88.w_2" shape = [1024] dtype = "float32" min_val = float("0.204496") @@ -473,6 +516,7 @@ class Program_weight_tensor_parameter_42: class Program_weight_tensor_parameter_43: name = "parameter_43" + original_name = "batch_norm_88.w_1" shape = [1024] dtype = "float32" min_val = float("-1.5245") @@ -484,6 +528,7 @@ class Program_weight_tensor_parameter_43: class Program_weight_tensor_parameter_44: name = "parameter_44" + original_name = "conv2d_109.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.277699") @@ -495,6 +540,7 @@ class Program_weight_tensor_parameter_44: class Program_weight_tensor_parameter_45: name = "parameter_45" + original_name = "batch_norm_87.b_0" shape = [256] dtype = "float32" min_val = float("-1.31946") @@ -506,6 +552,7 @@ class Program_weight_tensor_parameter_45: class Program_weight_tensor_parameter_46: name = "parameter_46" + original_name = "batch_norm_87.w_0" shape = [256] dtype = "float32" min_val = float("0.330508") @@ -517,6 +564,7 @@ class Program_weight_tensor_parameter_46: class Program_weight_tensor_parameter_47: name = "parameter_47" + original_name = "batch_norm_87.w_2" shape = [256] dtype = "float32" min_val = float("152.443") @@ -528,6 +576,7 @@ class Program_weight_tensor_parameter_47: class Program_weight_tensor_parameter_48: name = "parameter_48" + original_name = "batch_norm_87.w_1" shape = [256] dtype = "float32" min_val = float("-32.9414") @@ -539,6 +588,7 @@ class Program_weight_tensor_parameter_48: class Program_weight_tensor_parameter_49: name = "parameter_49" + original_name = "conv2d_108.w_0" shape = [256, 1, 5, 5] dtype = "float32" min_val = float("-0.379053") @@ -550,6 +600,7 @@ class Program_weight_tensor_parameter_49: class Program_weight_tensor_parameter_50: name = "parameter_50" + original_name = "conv2d_107.w_0" shape = [256, 256, 1, 1] dtype = "float32" min_val = float("-0.377005") @@ -561,6 +612,7 @@ class Program_weight_tensor_parameter_50: class Program_weight_tensor_parameter_51: name = "parameter_51" + original_name = "conv2d_106.w_0" shape = [64, 256, 1, 1] dtype = "float32" min_val = float("-0.387955") @@ -572,6 +624,7 @@ class Program_weight_tensor_parameter_51: class Program_weight_tensor_parameter_52: name = "parameter_52" + original_name = "conv2d_105.w_0" shape = [64, 256, 1, 1] dtype = "float32" min_val = float("-0.341311") @@ -583,6 +636,7 @@ class Program_weight_tensor_parameter_52: class Program_weight_tensor_parameter_53: name = "parameter_53" + original_name = "conv2d_104.w_0" shape = [256, 256, 1, 1] dtype = "float32" min_val = float("-0.322789") @@ -594,6 +648,7 @@ class Program_weight_tensor_parameter_53: class Program_weight_tensor_parameter_54: name = "parameter_54" + original_name = "batch_norm_86.b_0" shape = [256] dtype = "float32" min_val = float("-1.15303") @@ -605,6 +660,7 @@ class Program_weight_tensor_parameter_54: class Program_weight_tensor_parameter_55: name = "parameter_55" + original_name = "batch_norm_86.w_0" shape = [256] dtype = "float32" min_val = float("0.691397") @@ -616,6 +672,7 @@ class Program_weight_tensor_parameter_55: class Program_weight_tensor_parameter_56: name = "parameter_56" + original_name = "batch_norm_86.w_2" shape = [256] dtype = "float32" min_val = float("627.138") @@ -627,6 +684,7 @@ class Program_weight_tensor_parameter_56: class Program_weight_tensor_parameter_57: name = "parameter_57" + original_name = "batch_norm_86.w_1" shape = [256] dtype = "float32" min_val = float("-30.7197") @@ -638,6 +696,7 @@ class Program_weight_tensor_parameter_57: class Program_weight_tensor_parameter_58: name = "parameter_58" + original_name = "batch_norm_85.b_0" shape = [256] dtype = "float32" min_val = float("-0.910597") @@ -649,6 +708,7 @@ class Program_weight_tensor_parameter_58: class Program_weight_tensor_parameter_59: name = "parameter_59" + original_name = "batch_norm_85.w_0" shape = [256] dtype = "float32" min_val = float("0.526403") @@ -660,6 +720,7 @@ class Program_weight_tensor_parameter_59: class Program_weight_tensor_parameter_60: name = "parameter_60" + original_name = "batch_norm_85.w_2" shape = [256] dtype = "float32" min_val = float("0.723623") @@ -671,6 +732,7 @@ class Program_weight_tensor_parameter_60: class Program_weight_tensor_parameter_61: name = "parameter_61" + original_name = "batch_norm_85.w_1" shape = [256] dtype = "float32" min_val = float("-2.84352") @@ -682,6 +744,7 @@ class Program_weight_tensor_parameter_61: class Program_weight_tensor_parameter_62: name = "parameter_62" + original_name = "conv2d_103.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.30737") @@ -693,6 +756,7 @@ class Program_weight_tensor_parameter_62: class Program_weight_tensor_parameter_63: name = "parameter_63" + original_name = "batch_norm_84.b_0" shape = [1024] dtype = "float32" min_val = float("-5.09398") @@ -704,6 +768,7 @@ class Program_weight_tensor_parameter_63: class Program_weight_tensor_parameter_64: name = "parameter_64" + original_name = "batch_norm_84.w_0" shape = [1024] dtype = "float32" min_val = float("0.28883") @@ -715,6 +780,7 @@ class Program_weight_tensor_parameter_64: class Program_weight_tensor_parameter_65: name = "parameter_65" + original_name = "batch_norm_84.w_2" shape = [1024] dtype = "float32" min_val = float("6.48801e-43") @@ -726,6 +792,7 @@ class Program_weight_tensor_parameter_65: class Program_weight_tensor_parameter_66: name = "parameter_66" + original_name = "batch_norm_84.w_1" shape = [1024] dtype = "float32" min_val = float("-0.857116") @@ -737,6 +804,7 @@ class Program_weight_tensor_parameter_66: class Program_weight_tensor_parameter_67: name = "parameter_67" + original_name = "conv2d_102.w_0" shape = [1024, 1, 5, 5] dtype = "float32" min_val = float("-0.369556") @@ -748,6 +816,7 @@ class Program_weight_tensor_parameter_67: class Program_weight_tensor_parameter_68: name = "parameter_68" + original_name = "batch_norm_83.b_0" shape = [1024] dtype = "float32" min_val = float("-1.87234") @@ -759,6 +828,7 @@ class Program_weight_tensor_parameter_68: class Program_weight_tensor_parameter_69: name = "parameter_69" + original_name = "batch_norm_83.w_0" shape = [1024] dtype = "float32" min_val = float("0.08136") @@ -770,6 +840,7 @@ class Program_weight_tensor_parameter_69: class Program_weight_tensor_parameter_70: name = "parameter_70" + original_name = "batch_norm_83.w_2" shape = [1024] dtype = "float32" min_val = float("6.61694e-25") @@ -781,6 +852,7 @@ class Program_weight_tensor_parameter_70: class Program_weight_tensor_parameter_71: name = "parameter_71" + original_name = "batch_norm_83.w_1" shape = [1024] dtype = "float32" min_val = float("-0.947938") @@ -792,6 +864,7 @@ class Program_weight_tensor_parameter_71: class Program_weight_tensor_parameter_72: name = "parameter_72" + original_name = "conv2d_101.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.329446") @@ -803,6 +876,7 @@ class Program_weight_tensor_parameter_72: class Program_weight_tensor_parameter_73: name = "parameter_73" + original_name = "batch_norm_82.b_0" shape = [256] dtype = "float32" min_val = float("-1.11352") @@ -814,6 +888,7 @@ class Program_weight_tensor_parameter_73: class Program_weight_tensor_parameter_74: name = "parameter_74" + original_name = "batch_norm_82.w_0" shape = [256] dtype = "float32" min_val = float("0.509347") @@ -825,6 +900,7 @@ class Program_weight_tensor_parameter_74: class Program_weight_tensor_parameter_75: name = "parameter_75" + original_name = "batch_norm_82.w_2" shape = [256] dtype = "float32" min_val = float("151.982") @@ -836,6 +912,7 @@ class Program_weight_tensor_parameter_75: class Program_weight_tensor_parameter_76: name = "parameter_76" + original_name = "batch_norm_82.w_1" shape = [256] dtype = "float32" min_val = float("-28.3251") @@ -847,6 +924,7 @@ class Program_weight_tensor_parameter_76: class Program_weight_tensor_parameter_77: name = "parameter_77" + original_name = "conv2d_100.w_0" shape = [256, 1, 5, 5] dtype = "float32" min_val = float("-0.458315") @@ -858,6 +936,7 @@ class Program_weight_tensor_parameter_77: class Program_weight_tensor_parameter_78: name = "parameter_78" + original_name = "conv2d_99.w_0" shape = [256, 256, 1, 1] dtype = "float32" min_val = float("-0.319188") @@ -869,6 +948,7 @@ class Program_weight_tensor_parameter_78: class Program_weight_tensor_parameter_79: name = "parameter_79" + original_name = "conv2d_98.w_0" shape = [64, 256, 1, 1] dtype = "float32" min_val = float("-0.379211") @@ -880,6 +960,7 @@ class Program_weight_tensor_parameter_79: class Program_weight_tensor_parameter_80: name = "parameter_80" + original_name = "conv2d_97.w_0" shape = [64, 256, 1, 1] dtype = "float32" min_val = float("-0.379864") @@ -891,6 +972,7 @@ class Program_weight_tensor_parameter_80: class Program_weight_tensor_parameter_81: name = "parameter_81" + original_name = "conv2d_96.w_0" shape = [256, 256, 1, 1] dtype = "float32" min_val = float("-0.330773") @@ -902,6 +984,7 @@ class Program_weight_tensor_parameter_81: class Program_weight_tensor_parameter_82: name = "parameter_82" + original_name = "batch_norm_81.b_0" shape = [256] dtype = "float32" min_val = float("-1.57846") @@ -913,6 +996,7 @@ class Program_weight_tensor_parameter_82: class Program_weight_tensor_parameter_83: name = "parameter_83" + original_name = "batch_norm_81.w_0" shape = [256] dtype = "float32" min_val = float("0.699774") @@ -924,6 +1008,7 @@ class Program_weight_tensor_parameter_83: class Program_weight_tensor_parameter_84: name = "parameter_84" + original_name = "batch_norm_81.w_2" shape = [256] dtype = "float32" min_val = float("191.748") @@ -935,6 +1020,7 @@ class Program_weight_tensor_parameter_84: class Program_weight_tensor_parameter_85: name = "parameter_85" + original_name = "batch_norm_81.w_1" shape = [256] dtype = "float32" min_val = float("-28.4933") @@ -946,6 +1032,7 @@ class Program_weight_tensor_parameter_85: class Program_weight_tensor_parameter_86: name = "parameter_86" + original_name = "batch_norm_80.b_0" shape = [256] dtype = "float32" min_val = float("-0.752429") @@ -957,6 +1044,7 @@ class Program_weight_tensor_parameter_86: class Program_weight_tensor_parameter_87: name = "parameter_87" + original_name = "batch_norm_80.w_0" shape = [256] dtype = "float32" min_val = float("0.272372") @@ -968,6 +1056,7 @@ class Program_weight_tensor_parameter_87: class Program_weight_tensor_parameter_88: name = "parameter_88" + original_name = "batch_norm_80.w_2" shape = [256] dtype = "float32" min_val = float("0.105312") @@ -979,6 +1068,7 @@ class Program_weight_tensor_parameter_88: class Program_weight_tensor_parameter_89: name = "parameter_89" + original_name = "batch_norm_80.w_1" shape = [256] dtype = "float32" min_val = float("-0.200413") @@ -990,6 +1080,7 @@ class Program_weight_tensor_parameter_89: class Program_weight_tensor_parameter_90: name = "parameter_90" + original_name = "conv2d_95.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.300859") @@ -1001,6 +1092,7 @@ class Program_weight_tensor_parameter_90: class Program_weight_tensor_parameter_91: name = "parameter_91" + original_name = "batch_norm_79.b_0" shape = [1024] dtype = "float32" min_val = float("-2.98639") @@ -1012,6 +1104,7 @@ class Program_weight_tensor_parameter_91: class Program_weight_tensor_parameter_92: name = "parameter_92" + original_name = "batch_norm_79.w_0" shape = [1024] dtype = "float32" min_val = float("0.0903115") @@ -1023,6 +1116,7 @@ class Program_weight_tensor_parameter_92: class Program_weight_tensor_parameter_93: name = "parameter_93" + original_name = "batch_norm_79.w_2" shape = [1024] dtype = "float32" min_val = float("0.252212") @@ -1034,6 +1128,7 @@ class Program_weight_tensor_parameter_93: class Program_weight_tensor_parameter_94: name = "parameter_94" + original_name = "batch_norm_79.w_1" shape = [1024] dtype = "float32" min_val = float("-1.68452") @@ -1045,6 +1140,7 @@ class Program_weight_tensor_parameter_94: class Program_weight_tensor_parameter_95: name = "parameter_95" + original_name = "conv2d_94.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.298976") @@ -1056,6 +1152,7 @@ class Program_weight_tensor_parameter_95: class Program_weight_tensor_parameter_96: name = "parameter_96" + original_name = "batch_norm_78.b_0" shape = [256] dtype = "float32" min_val = float("-1.93301") @@ -1067,6 +1164,7 @@ class Program_weight_tensor_parameter_96: class Program_weight_tensor_parameter_97: name = "parameter_97" + original_name = "batch_norm_78.w_0" shape = [256] dtype = "float32" min_val = float("0.357626") @@ -1078,6 +1176,7 @@ class Program_weight_tensor_parameter_97: class Program_weight_tensor_parameter_98: name = "parameter_98" + original_name = "batch_norm_78.w_2" shape = [256] dtype = "float32" min_val = float("10.1169") @@ -1089,6 +1188,7 @@ class Program_weight_tensor_parameter_98: class Program_weight_tensor_parameter_99: name = "parameter_99" + original_name = "batch_norm_78.w_1" shape = [256] dtype = "float32" min_val = float("-14.9434") @@ -1100,6 +1200,7 @@ class Program_weight_tensor_parameter_99: class Program_weight_tensor_parameter_100: name = "parameter_100" + original_name = "conv2d_93.w_0" shape = [256, 1, 3, 3] dtype = "float32" min_val = float("-0.358136") @@ -1111,6 +1212,7 @@ class Program_weight_tensor_parameter_100: class Program_weight_tensor_parameter_101: name = "parameter_101" + original_name = "conv2d_92.w_0" shape = [256, 256, 1, 1] dtype = "float32" min_val = float("-0.35339") @@ -1122,6 +1224,7 @@ class Program_weight_tensor_parameter_101: class Program_weight_tensor_parameter_102: name = "parameter_102" + original_name = "conv2d_91.w_0" shape = [64, 256, 1, 1] dtype = "float32" min_val = float("-0.364022") @@ -1133,6 +1236,7 @@ class Program_weight_tensor_parameter_102: class Program_weight_tensor_parameter_103: name = "parameter_103" + original_name = "conv2d_90.w_0" shape = [64, 256, 1, 1] dtype = "float32" min_val = float("-0.308563") @@ -1144,6 +1248,7 @@ class Program_weight_tensor_parameter_103: class Program_weight_tensor_parameter_104: name = "parameter_104" + original_name = "conv2d_89.w_0" shape = [256, 256, 1, 1] dtype = "float32" min_val = float("-0.354829") @@ -1155,6 +1260,7 @@ class Program_weight_tensor_parameter_104: class Program_weight_tensor_parameter_105: name = "parameter_105" + original_name = "batch_norm_77.b_0" shape = [256] dtype = "float32" min_val = float("-1.19354") @@ -1166,6 +1272,7 @@ class Program_weight_tensor_parameter_105: class Program_weight_tensor_parameter_106: name = "parameter_106" + original_name = "batch_norm_77.w_0" shape = [256] dtype = "float32" min_val = float("0.538126") @@ -1177,6 +1284,7 @@ class Program_weight_tensor_parameter_106: class Program_weight_tensor_parameter_107: name = "parameter_107" + original_name = "batch_norm_77.w_2" shape = [256] dtype = "float32" min_val = float("0.0391763") @@ -1188,6 +1296,7 @@ class Program_weight_tensor_parameter_107: class Program_weight_tensor_parameter_108: name = "parameter_108" + original_name = "batch_norm_77.w_1" shape = [256] dtype = "float32" min_val = float("-2.39009") @@ -1199,6 +1308,7 @@ class Program_weight_tensor_parameter_108: class Program_weight_tensor_parameter_109: name = "parameter_109" + original_name = "batch_norm_76.b_0" shape = [256] dtype = "float32" min_val = float("-0.634645") @@ -1210,6 +1320,7 @@ class Program_weight_tensor_parameter_109: class Program_weight_tensor_parameter_110: name = "parameter_110" + original_name = "batch_norm_76.w_0" shape = [256] dtype = "float32" min_val = float("-0.490869") @@ -1221,6 +1332,7 @@ class Program_weight_tensor_parameter_110: class Program_weight_tensor_parameter_111: name = "parameter_111" + original_name = "batch_norm_76.w_2" shape = [256] dtype = "float32" min_val = float("0.0848407") @@ -1232,6 +1344,7 @@ class Program_weight_tensor_parameter_111: class Program_weight_tensor_parameter_112: name = "parameter_112" + original_name = "batch_norm_76.w_1" shape = [256] dtype = "float32" min_val = float("-0.298559") @@ -1243,6 +1356,7 @@ class Program_weight_tensor_parameter_112: class Program_weight_tensor_parameter_113: name = "parameter_113" + original_name = "conv2d_88.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.311585") @@ -1254,6 +1368,7 @@ class Program_weight_tensor_parameter_113: class Program_weight_tensor_parameter_114: name = "parameter_114" + original_name = "batch_norm_75.b_0" shape = [1024] dtype = "float32" min_val = float("-2.76344") @@ -1265,6 +1380,7 @@ class Program_weight_tensor_parameter_114: class Program_weight_tensor_parameter_115: name = "parameter_115" + original_name = "batch_norm_75.w_0" shape = [1024] dtype = "float32" min_val = float("0.0601779") @@ -1276,6 +1392,7 @@ class Program_weight_tensor_parameter_115: class Program_weight_tensor_parameter_116: name = "parameter_116" + original_name = "batch_norm_75.w_2" shape = [1024] dtype = "float32" min_val = float("9.66694e-22") @@ -1287,6 +1404,7 @@ class Program_weight_tensor_parameter_116: class Program_weight_tensor_parameter_117: name = "parameter_117" + original_name = "batch_norm_75.w_1" shape = [1024] dtype = "float32" min_val = float("-1.61336") @@ -1298,6 +1416,7 @@ class Program_weight_tensor_parameter_117: class Program_weight_tensor_parameter_118: name = "parameter_118" + original_name = "conv2d_87.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.30422") @@ -1309,6 +1428,7 @@ class Program_weight_tensor_parameter_118: class Program_weight_tensor_parameter_119: name = "parameter_119" + original_name = "batch_norm_74.b_0" shape = [256] dtype = "float32" min_val = float("-0.740617") @@ -1320,6 +1440,7 @@ class Program_weight_tensor_parameter_119: class Program_weight_tensor_parameter_120: name = "parameter_120" + original_name = "batch_norm_74.w_0" shape = [256] dtype = "float32" min_val = float("-0.730344") @@ -1331,6 +1452,7 @@ class Program_weight_tensor_parameter_120: class Program_weight_tensor_parameter_121: name = "parameter_121" + original_name = "batch_norm_74.w_2" shape = [256] dtype = "float32" min_val = float("0.101248") @@ -1342,6 +1464,7 @@ class Program_weight_tensor_parameter_121: class Program_weight_tensor_parameter_122: name = "parameter_122" + original_name = "batch_norm_74.w_1" shape = [256] dtype = "float32" min_val = float("-0.223015") @@ -1353,6 +1476,7 @@ class Program_weight_tensor_parameter_122: class Program_weight_tensor_parameter_123: name = "parameter_123" + original_name = "conv2d_86.w_0" shape = [256, 512, 1, 1] dtype = "float32" min_val = float("-0.315798") @@ -1364,6 +1488,7 @@ class Program_weight_tensor_parameter_123: class Program_weight_tensor_parameter_124: name = "parameter_124" + original_name = "batch_norm_73.b_0" shape = [512] dtype = "float32" min_val = float("-2.48714") @@ -1375,6 +1500,7 @@ class Program_weight_tensor_parameter_124: class Program_weight_tensor_parameter_125: name = "parameter_125" + original_name = "batch_norm_73.w_0" shape = [512] dtype = "float32" min_val = float("0.291531") @@ -1386,6 +1512,7 @@ class Program_weight_tensor_parameter_125: class Program_weight_tensor_parameter_126: name = "parameter_126" + original_name = "batch_norm_73.w_2" shape = [512] dtype = "float32" min_val = float("0.724073") @@ -1397,6 +1524,7 @@ class Program_weight_tensor_parameter_126: class Program_weight_tensor_parameter_127: name = "parameter_127" + original_name = "batch_norm_73.w_1" shape = [512] dtype = "float32" min_val = float("-1.41239") @@ -1408,6 +1536,7 @@ class Program_weight_tensor_parameter_127: class Program_weight_tensor_parameter_128: name = "parameter_128" + original_name = "conv2d_85.w_0" shape = [512, 256, 1, 1] dtype = "float32" min_val = float("-0.378847") @@ -1419,6 +1548,7 @@ class Program_weight_tensor_parameter_128: class Program_weight_tensor_parameter_129: name = "parameter_129" + original_name = "batch_norm_72.b_0" shape = [256] dtype = "float32" min_val = float("-0.762249") @@ -1430,6 +1560,7 @@ class Program_weight_tensor_parameter_129: class Program_weight_tensor_parameter_130: name = "parameter_130" + original_name = "batch_norm_72.w_0" shape = [256] dtype = "float32" min_val = float("0.244588") @@ -1441,6 +1572,7 @@ class Program_weight_tensor_parameter_130: class Program_weight_tensor_parameter_131: name = "parameter_131" + original_name = "batch_norm_72.w_2" shape = [256] dtype = "float32" min_val = float("0.29115") @@ -1452,6 +1584,7 @@ class Program_weight_tensor_parameter_131: class Program_weight_tensor_parameter_132: name = "parameter_132" + original_name = "batch_norm_72.w_1" shape = [256] dtype = "float32" min_val = float("-2.96863") @@ -1463,6 +1596,7 @@ class Program_weight_tensor_parameter_132: class Program_weight_tensor_parameter_133: name = "parameter_133" + original_name = "conv2d_84.w_0" shape = [256, 512, 1, 1] dtype = "float32" min_val = float("-0.368986") @@ -1474,6 +1608,7 @@ class Program_weight_tensor_parameter_133: class Program_weight_tensor_parameter_134: name = "parameter_134" + original_name = "batch_norm_71.b_0" shape = [512] dtype = "float32" min_val = float("-4.63246") @@ -1485,6 +1620,7 @@ class Program_weight_tensor_parameter_134: class Program_weight_tensor_parameter_135: name = "parameter_135" + original_name = "batch_norm_71.w_0" shape = [512] dtype = "float32" min_val = float("0.192903") @@ -1496,6 +1632,7 @@ class Program_weight_tensor_parameter_135: class Program_weight_tensor_parameter_136: name = "parameter_136" + original_name = "batch_norm_71.w_2" shape = [512] dtype = "float32" min_val = float("5.25487e-43") @@ -1507,6 +1644,7 @@ class Program_weight_tensor_parameter_136: class Program_weight_tensor_parameter_137: name = "parameter_137" + original_name = "batch_norm_71.w_1" shape = [512] dtype = "float32" min_val = float("-0.625126") @@ -1518,6 +1656,7 @@ class Program_weight_tensor_parameter_137: class Program_weight_tensor_parameter_138: name = "parameter_138" + original_name = "conv2d_83.w_0" shape = [512, 1, 5, 5] dtype = "float32" min_val = float("-0.333384") @@ -1529,6 +1668,7 @@ class Program_weight_tensor_parameter_138: class Program_weight_tensor_parameter_139: name = "parameter_139" + original_name = "batch_norm_70.b_0" shape = [512] dtype = "float32" min_val = float("-1.60863") @@ -1540,6 +1680,7 @@ class Program_weight_tensor_parameter_139: class Program_weight_tensor_parameter_140: name = "parameter_140" + original_name = "batch_norm_70.w_0" shape = [512] dtype = "float32" min_val = float("0.0986059") @@ -1551,6 +1692,7 @@ class Program_weight_tensor_parameter_140: class Program_weight_tensor_parameter_141: name = "parameter_141" + original_name = "batch_norm_70.w_2" shape = [512] dtype = "float32" min_val = float("3.27579e-27") @@ -1562,6 +1704,7 @@ class Program_weight_tensor_parameter_141: class Program_weight_tensor_parameter_142: name = "parameter_142" + original_name = "batch_norm_70.w_1" shape = [512] dtype = "float32" min_val = float("-1.04317") @@ -1573,6 +1716,7 @@ class Program_weight_tensor_parameter_142: class Program_weight_tensor_parameter_143: name = "parameter_143" + original_name = "conv2d_82.w_0" shape = [512, 256, 1, 1] dtype = "float32" min_val = float("-0.461294") @@ -1584,6 +1728,7 @@ class Program_weight_tensor_parameter_143: class Program_weight_tensor_parameter_144: name = "parameter_144" + original_name = "batch_norm_69.b_0" shape = [256] dtype = "float32" min_val = float("-1.8304") @@ -1595,6 +1740,7 @@ class Program_weight_tensor_parameter_144: class Program_weight_tensor_parameter_145: name = "parameter_145" + original_name = "batch_norm_69.w_0" shape = [256] dtype = "float32" min_val = float("0.418119") @@ -1606,6 +1752,7 @@ class Program_weight_tensor_parameter_145: class Program_weight_tensor_parameter_146: name = "parameter_146" + original_name = "batch_norm_69.w_2" shape = [256] dtype = "float32" min_val = float("0.000750539") @@ -1617,6 +1764,7 @@ class Program_weight_tensor_parameter_146: class Program_weight_tensor_parameter_147: name = "parameter_147" + original_name = "batch_norm_69.w_1" shape = [256] dtype = "float32" min_val = float("-0.279692") @@ -1628,6 +1776,7 @@ class Program_weight_tensor_parameter_147: class Program_weight_tensor_parameter_148: name = "parameter_148" + original_name = "conv2d_81.w_0" shape = [256, 1, 3, 3] dtype = "float32" min_val = float("-0.406986") @@ -1639,6 +1788,7 @@ class Program_weight_tensor_parameter_148: class Program_weight_tensor_parameter_149: name = "parameter_149" + original_name = "batch_norm_68.b_0" shape = [256] dtype = "float32" min_val = float("-0.499286") @@ -1650,6 +1800,7 @@ class Program_weight_tensor_parameter_149: class Program_weight_tensor_parameter_150: name = "parameter_150" + original_name = "batch_norm_68.w_0" shape = [256] dtype = "float32" min_val = float("-0.713407") @@ -1661,6 +1812,7 @@ class Program_weight_tensor_parameter_150: class Program_weight_tensor_parameter_151: name = "parameter_151" + original_name = "batch_norm_68.w_2" shape = [256] dtype = "float32" min_val = float("0.118691") @@ -1672,6 +1824,7 @@ class Program_weight_tensor_parameter_151: class Program_weight_tensor_parameter_152: name = "parameter_152" + original_name = "batch_norm_68.w_1" shape = [256] dtype = "float32" min_val = float("-0.387288") @@ -1683,6 +1836,7 @@ class Program_weight_tensor_parameter_152: class Program_weight_tensor_parameter_153: name = "parameter_153" + original_name = "conv2d_80.w_0" shape = [256, 512, 1, 1] dtype = "float32" min_val = float("-0.327455") @@ -1694,6 +1848,7 @@ class Program_weight_tensor_parameter_153: class Program_weight_tensor_parameter_154: name = "parameter_154" + original_name = "batch_norm_67.b_0" shape = [512] dtype = "float32" min_val = float("-2.21566") @@ -1705,6 +1860,7 @@ class Program_weight_tensor_parameter_154: class Program_weight_tensor_parameter_155: name = "parameter_155" + original_name = "batch_norm_67.w_0" shape = [512] dtype = "float32" min_val = float("0.391266") @@ -1716,6 +1872,7 @@ class Program_weight_tensor_parameter_155: class Program_weight_tensor_parameter_156: name = "parameter_156" + original_name = "batch_norm_67.w_2" shape = [512] dtype = "float32" min_val = float("0.770267") @@ -1727,6 +1884,7 @@ class Program_weight_tensor_parameter_156: class Program_weight_tensor_parameter_157: name = "parameter_157" + original_name = "batch_norm_67.w_1" shape = [512] dtype = "float32" min_val = float("-0.912367") @@ -1738,6 +1896,7 @@ class Program_weight_tensor_parameter_157: class Program_weight_tensor_parameter_158: name = "parameter_158" + original_name = "conv2d_79.w_0" shape = [512, 256, 1, 1] dtype = "float32" min_val = float("-0.320711") @@ -1749,6 +1908,7 @@ class Program_weight_tensor_parameter_158: class Program_weight_tensor_parameter_159: name = "parameter_159" + original_name = "batch_norm_66.b_0" shape = [256] dtype = "float32" min_val = float("-1.23515") @@ -1760,6 +1920,7 @@ class Program_weight_tensor_parameter_159: class Program_weight_tensor_parameter_160: name = "parameter_160" + original_name = "batch_norm_66.w_0" shape = [256] dtype = "float32" min_val = float("-0.5518") @@ -1771,6 +1932,7 @@ class Program_weight_tensor_parameter_160: class Program_weight_tensor_parameter_161: name = "parameter_161" + original_name = "batch_norm_66.w_2" shape = [256] dtype = "float32" min_val = float("1.00602") @@ -1782,6 +1944,7 @@ class Program_weight_tensor_parameter_161: class Program_weight_tensor_parameter_162: name = "parameter_162" + original_name = "batch_norm_66.w_1" shape = [256] dtype = "float32" min_val = float("-3.53988") @@ -1793,6 +1956,7 @@ class Program_weight_tensor_parameter_162: class Program_weight_tensor_parameter_163: name = "parameter_163" + original_name = "conv2d_78.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.350887") @@ -1804,6 +1968,7 @@ class Program_weight_tensor_parameter_163: class Program_weight_tensor_parameter_164: name = "parameter_164" + original_name = "batch_norm_65.b_0" shape = [1024] dtype = "float32" min_val = float("-4.94413") @@ -1815,6 +1980,7 @@ class Program_weight_tensor_parameter_164: class Program_weight_tensor_parameter_165: name = "parameter_165" + original_name = "batch_norm_65.w_0" shape = [1024] dtype = "float32" min_val = float("0.261528") @@ -1826,6 +1992,7 @@ class Program_weight_tensor_parameter_165: class Program_weight_tensor_parameter_166: name = "parameter_166" + original_name = "batch_norm_65.w_2" shape = [1024] dtype = "float32" min_val = float("7.09057e-43") @@ -1837,6 +2004,7 @@ class Program_weight_tensor_parameter_166: class Program_weight_tensor_parameter_167: name = "parameter_167" + original_name = "batch_norm_65.w_1" shape = [1024] dtype = "float32" min_val = float("-0.647796") @@ -1848,6 +2016,7 @@ class Program_weight_tensor_parameter_167: class Program_weight_tensor_parameter_168: name = "parameter_168" + original_name = "conv2d_77.w_0" shape = [1024, 1, 5, 5] dtype = "float32" min_val = float("-0.542694") @@ -1859,6 +2028,7 @@ class Program_weight_tensor_parameter_168: class Program_weight_tensor_parameter_169: name = "parameter_169" + original_name = "batch_norm_64.b_0" shape = [1024] dtype = "float32" min_val = float("-1.68167") @@ -1870,6 +2040,7 @@ class Program_weight_tensor_parameter_169: class Program_weight_tensor_parameter_170: name = "parameter_170" + original_name = "batch_norm_64.w_0" shape = [1024] dtype = "float32" min_val = float("0.142046") @@ -1881,6 +2052,7 @@ class Program_weight_tensor_parameter_170: class Program_weight_tensor_parameter_171: name = "parameter_171" + original_name = "batch_norm_64.w_2" shape = [1024] dtype = "float32" min_val = float("9.08226e-25") @@ -1892,6 +2064,7 @@ class Program_weight_tensor_parameter_171: class Program_weight_tensor_parameter_172: name = "parameter_172" + original_name = "batch_norm_64.w_1" shape = [1024] dtype = "float32" min_val = float("-1.21709") @@ -1903,6 +2076,7 @@ class Program_weight_tensor_parameter_172: class Program_weight_tensor_parameter_173: name = "parameter_173" + original_name = "conv2d_76.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.337161") @@ -1914,6 +2088,7 @@ class Program_weight_tensor_parameter_173: class Program_weight_tensor_parameter_174: name = "parameter_174" + original_name = "batch_norm_63.b_0" shape = [256] dtype = "float32" min_val = float("-1.31683") @@ -1925,6 +2100,7 @@ class Program_weight_tensor_parameter_174: class Program_weight_tensor_parameter_175: name = "parameter_175" + original_name = "batch_norm_63.w_0" shape = [256] dtype = "float32" min_val = float("0.337841") @@ -1936,6 +2112,7 @@ class Program_weight_tensor_parameter_175: class Program_weight_tensor_parameter_176: name = "parameter_176" + original_name = "batch_norm_63.w_2" shape = [256] dtype = "float32" min_val = float("5.60044e-05") @@ -1947,6 +2124,7 @@ class Program_weight_tensor_parameter_176: class Program_weight_tensor_parameter_177: name = "parameter_177" + original_name = "batch_norm_63.w_1" shape = [256] dtype = "float32" min_val = float("-0.13311") @@ -1958,6 +2136,7 @@ class Program_weight_tensor_parameter_177: class Program_weight_tensor_parameter_178: name = "parameter_178" + original_name = "conv2d_75.w_0" shape = [256, 1, 3, 3] dtype = "float32" min_val = float("-0.41024") @@ -1969,6 +2148,7 @@ class Program_weight_tensor_parameter_178: class Program_weight_tensor_parameter_179: name = "parameter_179" + original_name = "batch_norm_62.b_0" shape = [256] dtype = "float32" min_val = float("-0.936599") @@ -1980,6 +2160,7 @@ class Program_weight_tensor_parameter_179: class Program_weight_tensor_parameter_180: name = "parameter_180" + original_name = "batch_norm_62.w_0" shape = [256] dtype = "float32" min_val = float("-0.325337") @@ -1991,6 +2172,7 @@ class Program_weight_tensor_parameter_180: class Program_weight_tensor_parameter_181: name = "parameter_181" + original_name = "batch_norm_62.w_2" shape = [256] dtype = "float32" min_val = float("0.673456") @@ -2002,6 +2184,7 @@ class Program_weight_tensor_parameter_181: class Program_weight_tensor_parameter_182: name = "parameter_182" + original_name = "batch_norm_62.w_1" shape = [256] dtype = "float32" min_val = float("-2.05422") @@ -2013,6 +2196,7 @@ class Program_weight_tensor_parameter_182: class Program_weight_tensor_parameter_183: name = "parameter_183" + original_name = "conv2d_74.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.500632") @@ -2024,6 +2208,7 @@ class Program_weight_tensor_parameter_183: class Program_weight_tensor_parameter_184: name = "parameter_184" + original_name = "batch_norm_61.b_0" shape = [1024] dtype = "float32" min_val = float("-5.58701") @@ -2035,6 +2220,7 @@ class Program_weight_tensor_parameter_184: class Program_weight_tensor_parameter_185: name = "parameter_185" + original_name = "batch_norm_61.w_0" shape = [1024] dtype = "float32" min_val = float("0.137449") @@ -2046,6 +2232,7 @@ class Program_weight_tensor_parameter_185: class Program_weight_tensor_parameter_186: name = "parameter_186" + original_name = "batch_norm_61.w_2" shape = [1024] dtype = "float32" min_val = float("6.74025e-43") @@ -2057,6 +2244,7 @@ class Program_weight_tensor_parameter_186: class Program_weight_tensor_parameter_187: name = "parameter_187" + original_name = "batch_norm_61.w_1" shape = [1024] dtype = "float32" min_val = float("-0.841972") @@ -2068,6 +2256,7 @@ class Program_weight_tensor_parameter_187: class Program_weight_tensor_parameter_188: name = "parameter_188" + original_name = "conv2d_73.w_0" shape = [1024, 1, 5, 5] dtype = "float32" min_val = float("-0.277406") @@ -2079,6 +2268,7 @@ class Program_weight_tensor_parameter_188: class Program_weight_tensor_parameter_189: name = "parameter_189" + original_name = "batch_norm_60.b_0" shape = [1024] dtype = "float32" min_val = float("-1.3781") @@ -2090,6 +2280,7 @@ class Program_weight_tensor_parameter_189: class Program_weight_tensor_parameter_190: name = "parameter_190" + original_name = "batch_norm_60.w_0" shape = [1024] dtype = "float32" min_val = float("0.123831") @@ -2101,6 +2292,7 @@ class Program_weight_tensor_parameter_190: class Program_weight_tensor_parameter_191: name = "parameter_191" + original_name = "batch_norm_60.w_2" shape = [1024] dtype = "float32" min_val = float("8.46262e-26") @@ -2112,6 +2304,7 @@ class Program_weight_tensor_parameter_191: class Program_weight_tensor_parameter_192: name = "parameter_192" + original_name = "batch_norm_60.w_1" shape = [1024] dtype = "float32" min_val = float("-1.36721") @@ -2123,6 +2316,7 @@ class Program_weight_tensor_parameter_192: class Program_weight_tensor_parameter_193: name = "parameter_193" + original_name = "conv2d_72.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.386927") @@ -2134,6 +2328,7 @@ class Program_weight_tensor_parameter_193: class Program_weight_tensor_parameter_194: name = "parameter_194" + original_name = "batch_norm_59.b_0" shape = [256] dtype = "float32" min_val = float("-1.36001") @@ -2145,6 +2340,7 @@ class Program_weight_tensor_parameter_194: class Program_weight_tensor_parameter_195: name = "parameter_195" + original_name = "batch_norm_59.w_0" shape = [256] dtype = "float32" min_val = float("0.515131") @@ -2156,6 +2352,7 @@ class Program_weight_tensor_parameter_195: class Program_weight_tensor_parameter_196: name = "parameter_196" + original_name = "batch_norm_59.w_2" shape = [256] dtype = "float32" min_val = float("3.95124e-06") @@ -2167,6 +2364,7 @@ class Program_weight_tensor_parameter_196: class Program_weight_tensor_parameter_197: name = "parameter_197" + original_name = "batch_norm_59.w_1" shape = [256] dtype = "float32" min_val = float("-0.364164") @@ -2178,6 +2376,7 @@ class Program_weight_tensor_parameter_197: class Program_weight_tensor_parameter_198: name = "parameter_198" + original_name = "conv2d_71.w_0" shape = [256, 1, 3, 3] dtype = "float32" min_val = float("-0.398905") @@ -2189,6 +2388,7 @@ class Program_weight_tensor_parameter_198: class Program_weight_tensor_parameter_199: name = "parameter_199" + original_name = "batch_norm_58.b_0" shape = [256] dtype = "float32" min_val = float("-0.801084") @@ -2200,6 +2400,7 @@ class Program_weight_tensor_parameter_199: class Program_weight_tensor_parameter_200: name = "parameter_200" + original_name = "batch_norm_58.w_0" shape = [256] dtype = "float32" min_val = float("-0.49256") @@ -2211,6 +2412,7 @@ class Program_weight_tensor_parameter_200: class Program_weight_tensor_parameter_201: name = "parameter_201" + original_name = "batch_norm_58.w_2" shape = [256] dtype = "float32" min_val = float("1.28812") @@ -2222,6 +2424,7 @@ class Program_weight_tensor_parameter_201: class Program_weight_tensor_parameter_202: name = "parameter_202" + original_name = "batch_norm_58.w_1" shape = [256] dtype = "float32" min_val = float("-3.02296") @@ -2233,6 +2436,7 @@ class Program_weight_tensor_parameter_202: class Program_weight_tensor_parameter_203: name = "parameter_203" + original_name = "conv2d_70.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.344031") @@ -2244,6 +2448,7 @@ class Program_weight_tensor_parameter_203: class Program_weight_tensor_parameter_204: name = "parameter_204" + original_name = "batch_norm_57.b_0" shape = [1024] dtype = "float32" min_val = float("-4.4735") @@ -2255,6 +2460,7 @@ class Program_weight_tensor_parameter_204: class Program_weight_tensor_parameter_205: name = "parameter_205" + original_name = "batch_norm_57.w_0" shape = [1024] dtype = "float32" min_val = float("0.242319") @@ -2266,6 +2472,7 @@ class Program_weight_tensor_parameter_205: class Program_weight_tensor_parameter_206: name = "parameter_206" + original_name = "batch_norm_57.w_2" shape = [1024] dtype = "float32" min_val = float("6.93643e-43") @@ -2277,6 +2484,7 @@ class Program_weight_tensor_parameter_206: class Program_weight_tensor_parameter_207: name = "parameter_207" + original_name = "batch_norm_57.w_1" shape = [1024] dtype = "float32" min_val = float("-0.643842") @@ -2288,6 +2496,7 @@ class Program_weight_tensor_parameter_207: class Program_weight_tensor_parameter_208: name = "parameter_208" + original_name = "conv2d_69.w_0" shape = [1024, 1, 5, 5] dtype = "float32" min_val = float("-0.290963") @@ -2299,6 +2508,7 @@ class Program_weight_tensor_parameter_208: class Program_weight_tensor_parameter_209: name = "parameter_209" + original_name = "batch_norm_56.b_0" shape = [1024] dtype = "float32" min_val = float("-1.1668") @@ -2310,6 +2520,7 @@ class Program_weight_tensor_parameter_209: class Program_weight_tensor_parameter_210: name = "parameter_210" + original_name = "batch_norm_56.w_0" shape = [1024] dtype = "float32" min_val = float("0.10526") @@ -2321,6 +2532,7 @@ class Program_weight_tensor_parameter_210: class Program_weight_tensor_parameter_211: name = "parameter_211" + original_name = "batch_norm_56.w_2" shape = [1024] dtype = "float32" min_val = float("6.55046e-26") @@ -2332,6 +2544,7 @@ class Program_weight_tensor_parameter_211: class Program_weight_tensor_parameter_212: name = "parameter_212" + original_name = "batch_norm_56.w_1" shape = [1024] dtype = "float32" min_val = float("-1.25038") @@ -2343,6 +2556,7 @@ class Program_weight_tensor_parameter_212: class Program_weight_tensor_parameter_213: name = "parameter_213" + original_name = "conv2d_68.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.36066") @@ -2354,6 +2568,7 @@ class Program_weight_tensor_parameter_213: class Program_weight_tensor_parameter_214: name = "parameter_214" + original_name = "batch_norm_55.b_0" shape = [256] dtype = "float32" min_val = float("-1.34285") @@ -2365,6 +2580,7 @@ class Program_weight_tensor_parameter_214: class Program_weight_tensor_parameter_215: name = "parameter_215" + original_name = "batch_norm_55.w_0" shape = [256] dtype = "float32" min_val = float("0.424948") @@ -2376,6 +2592,7 @@ class Program_weight_tensor_parameter_215: class Program_weight_tensor_parameter_216: name = "parameter_216" + original_name = "batch_norm_55.w_2" shape = [256] dtype = "float32" min_val = float("1.15348e-05") @@ -2387,6 +2604,7 @@ class Program_weight_tensor_parameter_216: class Program_weight_tensor_parameter_217: name = "parameter_217" + original_name = "batch_norm_55.w_1" shape = [256] dtype = "float32" min_val = float("-0.504262") @@ -2398,6 +2616,7 @@ class Program_weight_tensor_parameter_217: class Program_weight_tensor_parameter_218: name = "parameter_218" + original_name = "conv2d_67.w_0" shape = [256, 1, 5, 5] dtype = "float32" min_val = float("-0.428499") @@ -2409,6 +2628,7 @@ class Program_weight_tensor_parameter_218: class Program_weight_tensor_parameter_219: name = "parameter_219" + original_name = "batch_norm_54.b_0" shape = [256] dtype = "float32" min_val = float("-2.01949") @@ -2420,6 +2640,7 @@ class Program_weight_tensor_parameter_219: class Program_weight_tensor_parameter_220: name = "parameter_220" + original_name = "batch_norm_54.w_0" shape = [256] dtype = "float32" min_val = float("0.206313") @@ -2431,6 +2652,7 @@ class Program_weight_tensor_parameter_220: class Program_weight_tensor_parameter_221: name = "parameter_221" + original_name = "batch_norm_54.w_2" shape = [256] dtype = "float32" min_val = float("1.59832") @@ -2442,6 +2664,7 @@ class Program_weight_tensor_parameter_221: class Program_weight_tensor_parameter_222: name = "parameter_222" + original_name = "batch_norm_54.w_1" shape = [256] dtype = "float32" min_val = float("-8.64458") @@ -2453,6 +2676,7 @@ class Program_weight_tensor_parameter_222: class Program_weight_tensor_parameter_223: name = "parameter_223" + original_name = "conv2d_66.w_0" shape = [256, 960, 1, 1] dtype = "float32" min_val = float("-0.44694") @@ -2464,6 +2688,7 @@ class Program_weight_tensor_parameter_223: class Program_weight_tensor_parameter_224: name = "parameter_224" + original_name = "batch_norm_53.b_0" shape = [960] dtype = "float32" min_val = float("-4.55844") @@ -2475,6 +2700,7 @@ class Program_weight_tensor_parameter_224: class Program_weight_tensor_parameter_225: name = "parameter_225" + original_name = "batch_norm_53.w_0" shape = [960] dtype = "float32" min_val = float("0.305741") @@ -2486,6 +2712,7 @@ class Program_weight_tensor_parameter_225: class Program_weight_tensor_parameter_226: name = "parameter_226" + original_name = "batch_norm_53.w_2" shape = [960] dtype = "float32" min_val = float("6.48801e-43") @@ -2497,6 +2724,7 @@ class Program_weight_tensor_parameter_226: class Program_weight_tensor_parameter_227: name = "parameter_227" + original_name = "batch_norm_53.w_1" shape = [960] dtype = "float32" min_val = float("-0.947507") @@ -2508,6 +2736,7 @@ class Program_weight_tensor_parameter_227: class Program_weight_tensor_parameter_228: name = "parameter_228" + original_name = "conv2d_65.w_0" shape = [960, 1, 5, 5] dtype = "float32" min_val = float("-0.302757") @@ -2519,6 +2748,7 @@ class Program_weight_tensor_parameter_228: class Program_weight_tensor_parameter_229: name = "parameter_229" + original_name = "batch_norm_52.b_0" shape = [960] dtype = "float32" min_val = float("-1.38545") @@ -2530,6 +2760,7 @@ class Program_weight_tensor_parameter_229: class Program_weight_tensor_parameter_230: name = "parameter_230" + original_name = "batch_norm_52.w_0" shape = [960] dtype = "float32" min_val = float("0.1141") @@ -2541,6 +2772,7 @@ class Program_weight_tensor_parameter_230: class Program_weight_tensor_parameter_231: name = "parameter_231" + original_name = "batch_norm_52.w_2" shape = [960] dtype = "float32" min_val = float("1.09383e-25") @@ -2552,6 +2784,7 @@ class Program_weight_tensor_parameter_231: class Program_weight_tensor_parameter_232: name = "parameter_232" + original_name = "batch_norm_52.w_1" shape = [960] dtype = "float32" min_val = float("-0.776413") @@ -2563,6 +2796,7 @@ class Program_weight_tensor_parameter_232: class Program_weight_tensor_parameter_233: name = "parameter_233" + original_name = "conv2d_64.w_0" shape = [960, 160, 1, 1] dtype = "float32" min_val = float("-0.436938") @@ -2574,6 +2808,7 @@ class Program_weight_tensor_parameter_233: class Program_weight_tensor_parameter_234: name = "parameter_234" + original_name = "batch_norm_51.b_0" shape = [160] dtype = "float32" min_val = float("-1.09452") @@ -2585,6 +2820,7 @@ class Program_weight_tensor_parameter_234: class Program_weight_tensor_parameter_235: name = "parameter_235" + original_name = "batch_norm_51.w_0" shape = [160] dtype = "float32" min_val = float("0.329597") @@ -2596,6 +2832,7 @@ class Program_weight_tensor_parameter_235: class Program_weight_tensor_parameter_236: name = "parameter_236" + original_name = "batch_norm_51.w_2" shape = [160] dtype = "float32" min_val = float("8.01497") @@ -2607,6 +2844,7 @@ class Program_weight_tensor_parameter_236: class Program_weight_tensor_parameter_237: name = "parameter_237" + original_name = "batch_norm_51.w_1" shape = [160] dtype = "float32" min_val = float("-25.7268") @@ -2618,6 +2856,7 @@ class Program_weight_tensor_parameter_237: class Program_weight_tensor_parameter_238: name = "parameter_238" + original_name = "conv2d_63.w_0" shape = [160, 1, 5, 5] dtype = "float32" min_val = float("-0.522488") @@ -2629,6 +2868,7 @@ class Program_weight_tensor_parameter_238: class Program_weight_tensor_parameter_239: name = "parameter_239" + original_name = "batch_norm_50.b_0" shape = [160] dtype = "float32" min_val = float("-2.52456") @@ -2640,6 +2880,7 @@ class Program_weight_tensor_parameter_239: class Program_weight_tensor_parameter_240: name = "parameter_240" + original_name = "batch_norm_50.w_0" shape = [160] dtype = "float32" min_val = float("-0.426758") @@ -2651,6 +2892,7 @@ class Program_weight_tensor_parameter_240: class Program_weight_tensor_parameter_241: name = "parameter_241" + original_name = "batch_norm_50.w_2" shape = [160] dtype = "float32" min_val = float("0.144449") @@ -2662,6 +2904,7 @@ class Program_weight_tensor_parameter_241: class Program_weight_tensor_parameter_242: name = "parameter_242" + original_name = "batch_norm_50.w_1" shape = [160] dtype = "float32" min_val = float("-0.661594") @@ -2673,6 +2916,7 @@ class Program_weight_tensor_parameter_242: class Program_weight_tensor_parameter_243: name = "parameter_243" + original_name = "conv2d_62.w_0" shape = [160, 640, 1, 1] dtype = "float32" min_val = float("-0.399685") @@ -2684,6 +2928,7 @@ class Program_weight_tensor_parameter_243: class Program_weight_tensor_parameter_244: name = "parameter_244" + original_name = "batch_norm_49.b_0" shape = [640] dtype = "float32" min_val = float("-2.9725") @@ -2695,6 +2940,7 @@ class Program_weight_tensor_parameter_244: class Program_weight_tensor_parameter_245: name = "parameter_245" + original_name = "batch_norm_49.w_0" shape = [640] dtype = "float32" min_val = float("0.305936") @@ -2706,6 +2952,7 @@ class Program_weight_tensor_parameter_245: class Program_weight_tensor_parameter_246: name = "parameter_246" + original_name = "batch_norm_49.w_2" shape = [640] dtype = "float32" min_val = float("0.147109") @@ -2717,6 +2964,7 @@ class Program_weight_tensor_parameter_246: class Program_weight_tensor_parameter_247: name = "parameter_247" + original_name = "batch_norm_49.w_1" shape = [640] dtype = "float32" min_val = float("-0.970727") @@ -2728,6 +2976,7 @@ class Program_weight_tensor_parameter_247: class Program_weight_tensor_parameter_248: name = "parameter_248" + original_name = "conv2d_61.w_0" shape = [640, 160, 1, 1] dtype = "float32" min_val = float("-0.441196") @@ -2739,6 +2988,7 @@ class Program_weight_tensor_parameter_248: class Program_weight_tensor_parameter_249: name = "parameter_249" + original_name = "batch_norm_48.b_0" shape = [160] dtype = "float32" min_val = float("-1.24881") @@ -2750,6 +3000,7 @@ class Program_weight_tensor_parameter_249: class Program_weight_tensor_parameter_250: name = "parameter_250" + original_name = "batch_norm_48.w_0" shape = [160] dtype = "float32" min_val = float("0.171878") @@ -2761,6 +3012,7 @@ class Program_weight_tensor_parameter_250: class Program_weight_tensor_parameter_251: name = "parameter_251" + original_name = "batch_norm_48.w_2" shape = [160] dtype = "float32" min_val = float("0.65286") @@ -2772,6 +3024,7 @@ class Program_weight_tensor_parameter_251: class Program_weight_tensor_parameter_252: name = "parameter_252" + original_name = "batch_norm_48.w_1" shape = [160] dtype = "float32" min_val = float("-10.7642") @@ -2783,6 +3036,7 @@ class Program_weight_tensor_parameter_252: class Program_weight_tensor_parameter_253: name = "parameter_253" + original_name = "conv2d_60.w_0" shape = [160, 1, 3, 3] dtype = "float32" min_val = float("-0.403313") @@ -2794,6 +3048,7 @@ class Program_weight_tensor_parameter_253: class Program_weight_tensor_parameter_254: name = "parameter_254" + original_name = "conv2d_59.w_0" shape = [160, 256, 1, 1] dtype = "float32" min_val = float("-0.352577") @@ -2805,6 +3060,7 @@ class Program_weight_tensor_parameter_254: class Program_weight_tensor_parameter_255: name = "parameter_255" + original_name = "conv2d_58.w_0" shape = [64, 160, 1, 1] dtype = "float32" min_val = float("-0.397186") @@ -2816,6 +3072,7 @@ class Program_weight_tensor_parameter_255: class Program_weight_tensor_parameter_256: name = "parameter_256" + original_name = "batch_norm_47.b_0" shape = [160] dtype = "float32" min_val = float("-0.696428") @@ -2827,6 +3084,7 @@ class Program_weight_tensor_parameter_256: class Program_weight_tensor_parameter_257: name = "parameter_257" + original_name = "batch_norm_47.w_0" shape = [160] dtype = "float32" min_val = float("-2.21974") @@ -2838,6 +3096,7 @@ class Program_weight_tensor_parameter_257: class Program_weight_tensor_parameter_258: name = "parameter_258" + original_name = "batch_norm_47.w_2" shape = [160] dtype = "float32" min_val = float("0.000107779") @@ -2849,6 +3108,7 @@ class Program_weight_tensor_parameter_258: class Program_weight_tensor_parameter_259: name = "parameter_259" + original_name = "batch_norm_47.w_1" shape = [160] dtype = "float32" min_val = float("-0.336737") @@ -2860,6 +3120,7 @@ class Program_weight_tensor_parameter_259: class Program_weight_tensor_parameter_260: name = "parameter_260" + original_name = "conv2d_56.w_0" shape = [160, 1, 3, 3] dtype = "float32" min_val = float("-0.300901") @@ -2871,6 +3132,7 @@ class Program_weight_tensor_parameter_260: class Program_weight_tensor_parameter_261: name = "parameter_261" + original_name = "conv2d_57.w_0" shape = [64, 160, 1, 1] dtype = "float32" min_val = float("-0.369754") @@ -2882,6 +3144,7 @@ class Program_weight_tensor_parameter_261: class Program_weight_tensor_parameter_262: name = "parameter_262" + original_name = "batch_norm_46.b_0" shape = [160] dtype = "float32" min_val = float("-1.35549") @@ -2893,6 +3156,7 @@ class Program_weight_tensor_parameter_262: class Program_weight_tensor_parameter_263: name = "parameter_263" + original_name = "batch_norm_46.w_0" shape = [160] dtype = "float32" min_val = float("-1.32573") @@ -2904,6 +3168,7 @@ class Program_weight_tensor_parameter_263: class Program_weight_tensor_parameter_264: name = "parameter_264" + original_name = "batch_norm_46.w_2" shape = [160] dtype = "float32" min_val = float("0.000151146") @@ -2915,6 +3180,7 @@ class Program_weight_tensor_parameter_264: class Program_weight_tensor_parameter_265: name = "parameter_265" + original_name = "batch_norm_46.w_1" shape = [160] dtype = "float32" min_val = float("-1.31821") @@ -2926,6 +3192,7 @@ class Program_weight_tensor_parameter_265: class Program_weight_tensor_parameter_266: name = "parameter_266" + original_name = "conv2d_55.w_0" shape = [160, 1, 3, 3] dtype = "float32" min_val = float("-0.320677") @@ -2937,6 +3204,7 @@ class Program_weight_tensor_parameter_266: class Program_weight_tensor_parameter_267: name = "parameter_267" + original_name = "conv2d_54.w_0" shape = [256, 160, 1, 1] dtype = "float32" min_val = float("-0.370749") @@ -2948,6 +3216,7 @@ class Program_weight_tensor_parameter_267: class Program_weight_tensor_parameter_268: name = "parameter_268" + original_name = "batch_norm_45.b_0" shape = [160] dtype = "float32" min_val = float("-2.88871") @@ -2959,6 +3228,7 @@ class Program_weight_tensor_parameter_268: class Program_weight_tensor_parameter_269: name = "parameter_269" + original_name = "batch_norm_45.w_0" shape = [160] dtype = "float32" min_val = float("-1.77687") @@ -2970,6 +3240,7 @@ class Program_weight_tensor_parameter_269: class Program_weight_tensor_parameter_270: name = "parameter_270" + original_name = "batch_norm_45.w_2" shape = [160] dtype = "float32" min_val = float("6.15399") @@ -2981,6 +3252,7 @@ class Program_weight_tensor_parameter_270: class Program_weight_tensor_parameter_271: name = "parameter_271" + original_name = "batch_norm_45.w_1" shape = [160] dtype = "float32" min_val = float("-21.8401") @@ -2992,6 +3264,7 @@ class Program_weight_tensor_parameter_271: class Program_weight_tensor_parameter_272: name = "parameter_272" + original_name = "batch_norm_44.b_0" shape = [160] dtype = "float32" min_val = float("-1.59732") @@ -3003,6 +3276,7 @@ class Program_weight_tensor_parameter_272: class Program_weight_tensor_parameter_273: name = "parameter_273" + original_name = "batch_norm_44.w_0" shape = [160] dtype = "float32" min_val = float("0.0455825") @@ -3014,6 +3288,7 @@ class Program_weight_tensor_parameter_273: class Program_weight_tensor_parameter_274: name = "parameter_274" + original_name = "batch_norm_44.w_2" shape = [160] dtype = "float32" min_val = float("0.419365") @@ -3025,6 +3300,7 @@ class Program_weight_tensor_parameter_274: class Program_weight_tensor_parameter_275: name = "parameter_275" + original_name = "batch_norm_44.w_1" shape = [160] dtype = "float32" min_val = float("-1.95985") @@ -3036,6 +3312,7 @@ class Program_weight_tensor_parameter_275: class Program_weight_tensor_parameter_276: name = "parameter_276" + original_name = "conv2d_53.w_0" shape = [160, 640, 1, 1] dtype = "float32" min_val = float("-0.353206") @@ -3047,6 +3324,7 @@ class Program_weight_tensor_parameter_276: class Program_weight_tensor_parameter_277: name = "parameter_277" + original_name = "batch_norm_43.b_0" shape = [640] dtype = "float32" min_val = float("-2.68788") @@ -3058,6 +3336,7 @@ class Program_weight_tensor_parameter_277: class Program_weight_tensor_parameter_278: name = "parameter_278" + original_name = "batch_norm_43.w_0" shape = [640] dtype = "float32" min_val = float("0.114301") @@ -3069,6 +3348,7 @@ class Program_weight_tensor_parameter_278: class Program_weight_tensor_parameter_279: name = "parameter_279" + original_name = "batch_norm_43.w_2" shape = [640] dtype = "float32" min_val = float("6.22177e-43") @@ -3080,6 +3360,7 @@ class Program_weight_tensor_parameter_279: class Program_weight_tensor_parameter_280: name = "parameter_280" + original_name = "batch_norm_43.w_1" shape = [640] dtype = "float32" min_val = float("-0.353629") @@ -3091,6 +3372,7 @@ class Program_weight_tensor_parameter_280: class Program_weight_tensor_parameter_281: name = "parameter_281" + original_name = "conv2d_52.w_0" shape = [640, 1, 3, 3] dtype = "float32" min_val = float("-0.257232") @@ -3102,6 +3384,7 @@ class Program_weight_tensor_parameter_281: class Program_weight_tensor_parameter_282: name = "parameter_282" + original_name = "batch_norm_42.b_0" shape = [640] dtype = "float32" min_val = float("-1.14505") @@ -3113,6 +3396,7 @@ class Program_weight_tensor_parameter_282: class Program_weight_tensor_parameter_283: name = "parameter_283" + original_name = "batch_norm_42.w_0" shape = [640] dtype = "float32" min_val = float("0.123181") @@ -3124,6 +3408,7 @@ class Program_weight_tensor_parameter_283: class Program_weight_tensor_parameter_284: name = "parameter_284" + original_name = "batch_norm_42.w_2" shape = [640] dtype = "float32" min_val = float("2.0717e-26") @@ -3135,6 +3420,7 @@ class Program_weight_tensor_parameter_284: class Program_weight_tensor_parameter_285: name = "parameter_285" + original_name = "batch_norm_42.w_1" shape = [640] dtype = "float32" min_val = float("-0.946539") @@ -3146,6 +3432,7 @@ class Program_weight_tensor_parameter_285: class Program_weight_tensor_parameter_286: name = "parameter_286" + original_name = "conv2d_51.w_0" shape = [640, 160, 1, 1] dtype = "float32" min_val = float("-0.409706") @@ -3157,6 +3444,7 @@ class Program_weight_tensor_parameter_286: class Program_weight_tensor_parameter_287: name = "parameter_287" + original_name = "batch_norm_41.b_0" shape = [160] dtype = "float32" min_val = float("-1.34873") @@ -3168,6 +3456,7 @@ class Program_weight_tensor_parameter_287: class Program_weight_tensor_parameter_288: name = "parameter_288" + original_name = "batch_norm_41.w_0" shape = [160] dtype = "float32" min_val = float("0.291359") @@ -3179,6 +3468,7 @@ class Program_weight_tensor_parameter_288: class Program_weight_tensor_parameter_289: name = "parameter_289" + original_name = "batch_norm_41.w_2" shape = [160] dtype = "float32" min_val = float("0.0814993") @@ -3190,6 +3480,7 @@ class Program_weight_tensor_parameter_289: class Program_weight_tensor_parameter_290: name = "parameter_290" + original_name = "batch_norm_41.w_1" shape = [160] dtype = "float32" min_val = float("-15.1892") @@ -3201,6 +3492,7 @@ class Program_weight_tensor_parameter_290: class Program_weight_tensor_parameter_291: name = "parameter_291" + original_name = "conv2d_50.w_0" shape = [160, 1, 3, 3] dtype = "float32" min_val = float("-0.423602") @@ -3212,6 +3504,7 @@ class Program_weight_tensor_parameter_291: class Program_weight_tensor_parameter_292: name = "parameter_292" + original_name = "conv2d_49.w_0" shape = [160, 256, 1, 1] dtype = "float32" min_val = float("-0.339719") @@ -3223,6 +3516,7 @@ class Program_weight_tensor_parameter_292: class Program_weight_tensor_parameter_293: name = "parameter_293" + original_name = "conv2d_48.w_0" shape = [64, 160, 1, 1] dtype = "float32" min_val = float("-0.420312") @@ -3234,6 +3528,7 @@ class Program_weight_tensor_parameter_293: class Program_weight_tensor_parameter_294: name = "parameter_294" + original_name = "batch_norm_40.b_0" shape = [160] dtype = "float32" min_val = float("-0.575488") @@ -3245,6 +3540,7 @@ class Program_weight_tensor_parameter_294: class Program_weight_tensor_parameter_295: name = "parameter_295" + original_name = "batch_norm_40.w_0" shape = [160] dtype = "float32" min_val = float("-2.01471") @@ -3256,6 +3552,7 @@ class Program_weight_tensor_parameter_295: class Program_weight_tensor_parameter_296: name = "parameter_296" + original_name = "batch_norm_40.w_2" shape = [160] dtype = "float32" min_val = float("0.000317715") @@ -3267,6 +3564,7 @@ class Program_weight_tensor_parameter_296: class Program_weight_tensor_parameter_297: name = "parameter_297" + original_name = "batch_norm_40.w_1" shape = [160] dtype = "float32" min_val = float("-0.462244") @@ -3278,6 +3576,7 @@ class Program_weight_tensor_parameter_297: class Program_weight_tensor_parameter_298: name = "parameter_298" + original_name = "conv2d_46.w_0" shape = [160, 1, 3, 3] dtype = "float32" min_val = float("-0.30264") @@ -3289,6 +3588,7 @@ class Program_weight_tensor_parameter_298: class Program_weight_tensor_parameter_299: name = "parameter_299" + original_name = "conv2d_47.w_0" shape = [64, 160, 1, 1] dtype = "float32" min_val = float("-0.4118") @@ -3300,6 +3600,7 @@ class Program_weight_tensor_parameter_299: class Program_weight_tensor_parameter_300: name = "parameter_300" + original_name = "batch_norm_39.b_0" shape = [160] dtype = "float32" min_val = float("-1.63715") @@ -3311,6 +3612,7 @@ class Program_weight_tensor_parameter_300: class Program_weight_tensor_parameter_301: name = "parameter_301" + original_name = "batch_norm_39.w_0" shape = [160] dtype = "float32" min_val = float("-0.638255") @@ -3322,6 +3624,7 @@ class Program_weight_tensor_parameter_301: class Program_weight_tensor_parameter_302: name = "parameter_302" + original_name = "batch_norm_39.w_2" shape = [160] dtype = "float32" min_val = float("0.000676513") @@ -3333,6 +3636,7 @@ class Program_weight_tensor_parameter_302: class Program_weight_tensor_parameter_303: name = "parameter_303" + original_name = "batch_norm_39.w_1" shape = [160] dtype = "float32" min_val = float("-0.701249") @@ -3344,6 +3648,7 @@ class Program_weight_tensor_parameter_303: class Program_weight_tensor_parameter_304: name = "parameter_304" + original_name = "conv2d_45.w_0" shape = [160, 1, 3, 3] dtype = "float32" min_val = float("-0.324885") @@ -3355,6 +3660,7 @@ class Program_weight_tensor_parameter_304: class Program_weight_tensor_parameter_305: name = "parameter_305" + original_name = "conv2d_44.w_0" shape = [256, 160, 1, 1] dtype = "float32" min_val = float("-0.347544") @@ -3366,6 +3672,7 @@ class Program_weight_tensor_parameter_305: class Program_weight_tensor_parameter_306: name = "parameter_306" + original_name = "batch_norm_38.b_0" shape = [160] dtype = "float32" min_val = float("-3.04781") @@ -3377,6 +3684,7 @@ class Program_weight_tensor_parameter_306: class Program_weight_tensor_parameter_307: name = "parameter_307" + original_name = "batch_norm_38.w_0" shape = [160] dtype = "float32" min_val = float("-0.253692") @@ -3388,6 +3696,7 @@ class Program_weight_tensor_parameter_307: class Program_weight_tensor_parameter_308: name = "parameter_308" + original_name = "batch_norm_38.w_2" shape = [160] dtype = "float32" min_val = float("1.17565") @@ -3399,6 +3708,7 @@ class Program_weight_tensor_parameter_308: class Program_weight_tensor_parameter_309: name = "parameter_309" + original_name = "batch_norm_38.w_1" shape = [160] dtype = "float32" min_val = float("-22.8388") @@ -3410,6 +3720,7 @@ class Program_weight_tensor_parameter_309: class Program_weight_tensor_parameter_310: name = "parameter_310" + original_name = "batch_norm_37.b_0" shape = [160] dtype = "float32" min_val = float("-2.01756") @@ -3421,6 +3732,7 @@ class Program_weight_tensor_parameter_310: class Program_weight_tensor_parameter_311: name = "parameter_311" + original_name = "batch_norm_37.w_0" shape = [160] dtype = "float32" min_val = float("-0.0213933") @@ -3432,6 +3744,7 @@ class Program_weight_tensor_parameter_311: class Program_weight_tensor_parameter_312: name = "parameter_312" + original_name = "batch_norm_37.w_2" shape = [160] dtype = "float32" min_val = float("0.145956") @@ -3443,6 +3756,7 @@ class Program_weight_tensor_parameter_312: class Program_weight_tensor_parameter_313: name = "parameter_313" + original_name = "batch_norm_37.w_1" shape = [160] dtype = "float32" min_val = float("-0.538253") @@ -3454,6 +3768,7 @@ class Program_weight_tensor_parameter_313: class Program_weight_tensor_parameter_314: name = "parameter_314" + original_name = "conv2d_43.w_0" shape = [160, 640, 1, 1] dtype = "float32" min_val = float("-0.453174") @@ -3465,6 +3780,7 @@ class Program_weight_tensor_parameter_314: class Program_weight_tensor_parameter_315: name = "parameter_315" + original_name = "batch_norm_36.b_0" shape = [640] dtype = "float32" min_val = float("-3.74682") @@ -3476,6 +3792,7 @@ class Program_weight_tensor_parameter_315: class Program_weight_tensor_parameter_316: name = "parameter_316" + original_name = "batch_norm_36.w_0" shape = [640] dtype = "float32" min_val = float("0.22692") @@ -3487,6 +3804,7 @@ class Program_weight_tensor_parameter_316: class Program_weight_tensor_parameter_317: name = "parameter_317" + original_name = "batch_norm_36.w_2" shape = [640] dtype = "float32" min_val = float("9.03661e-08") @@ -3498,6 +3816,7 @@ class Program_weight_tensor_parameter_317: class Program_weight_tensor_parameter_318: name = "parameter_318" + original_name = "batch_norm_36.w_1" shape = [640] dtype = "float32" min_val = float("-0.849755") @@ -3509,6 +3828,7 @@ class Program_weight_tensor_parameter_318: class Program_weight_tensor_parameter_319: name = "parameter_319" + original_name = "conv2d_42.w_0" shape = [640, 160, 1, 1] dtype = "float32" min_val = float("-0.60905") @@ -3520,6 +3840,7 @@ class Program_weight_tensor_parameter_319: class Program_weight_tensor_parameter_320: name = "parameter_320" + original_name = "batch_norm_35.b_0" shape = [160] dtype = "float32" min_val = float("-1.26323") @@ -3531,6 +3852,7 @@ class Program_weight_tensor_parameter_320: class Program_weight_tensor_parameter_321: name = "parameter_321" + original_name = "batch_norm_35.w_0" shape = [160] dtype = "float32" min_val = float("-0.0327906") @@ -3542,6 +3864,7 @@ class Program_weight_tensor_parameter_321: class Program_weight_tensor_parameter_322: name = "parameter_322" + original_name = "batch_norm_35.w_2" shape = [160] dtype = "float32" min_val = float("0.028468") @@ -3553,6 +3876,7 @@ class Program_weight_tensor_parameter_322: class Program_weight_tensor_parameter_323: name = "parameter_323" + original_name = "batch_norm_35.w_1" shape = [160] dtype = "float32" min_val = float("-4.67567") @@ -3564,6 +3888,7 @@ class Program_weight_tensor_parameter_323: class Program_weight_tensor_parameter_324: name = "parameter_324" + original_name = "conv2d_41.w_0" shape = [160, 1, 3, 3] dtype = "float32" min_val = float("-0.432781") @@ -3575,6 +3900,7 @@ class Program_weight_tensor_parameter_324: class Program_weight_tensor_parameter_325: name = "parameter_325" + original_name = "conv2d_40.w_0" shape = [160, 256, 1, 1] dtype = "float32" min_val = float("-0.372441") @@ -3586,6 +3912,7 @@ class Program_weight_tensor_parameter_325: class Program_weight_tensor_parameter_326: name = "parameter_326" + original_name = "conv2d_39.w_0" shape = [64, 160, 1, 1] dtype = "float32" min_val = float("-0.355451") @@ -3597,6 +3924,7 @@ class Program_weight_tensor_parameter_326: class Program_weight_tensor_parameter_327: name = "parameter_327" + original_name = "batch_norm_34.b_0" shape = [160] dtype = "float32" min_val = float("-1.08422") @@ -3608,6 +3936,7 @@ class Program_weight_tensor_parameter_327: class Program_weight_tensor_parameter_328: name = "parameter_328" + original_name = "batch_norm_34.w_0" shape = [160] dtype = "float32" min_val = float("-0.521785") @@ -3619,6 +3948,7 @@ class Program_weight_tensor_parameter_328: class Program_weight_tensor_parameter_329: name = "parameter_329" + original_name = "batch_norm_34.w_2" shape = [160] dtype = "float32" min_val = float("0.00118857") @@ -3630,6 +3960,7 @@ class Program_weight_tensor_parameter_329: class Program_weight_tensor_parameter_330: name = "parameter_330" + original_name = "batch_norm_34.w_1" shape = [160] dtype = "float32" min_val = float("-0.915471") @@ -3641,6 +3972,7 @@ class Program_weight_tensor_parameter_330: class Program_weight_tensor_parameter_331: name = "parameter_331" + original_name = "conv2d_37.w_0" shape = [160, 1, 3, 3] dtype = "float32" min_val = float("-0.322334") @@ -3652,6 +3984,7 @@ class Program_weight_tensor_parameter_331: class Program_weight_tensor_parameter_332: name = "parameter_332" + original_name = "conv2d_38.w_0" shape = [64, 160, 1, 1] dtype = "float32" min_val = float("-0.346199") @@ -3663,6 +3996,7 @@ class Program_weight_tensor_parameter_332: class Program_weight_tensor_parameter_333: name = "parameter_333" + original_name = "batch_norm_33.b_0" shape = [160] dtype = "float32" min_val = float("-1.64151") @@ -3674,6 +4008,7 @@ class Program_weight_tensor_parameter_333: class Program_weight_tensor_parameter_334: name = "parameter_334" + original_name = "batch_norm_33.w_0" shape = [160] dtype = "float32" min_val = float("-1.61378") @@ -3685,6 +4020,7 @@ class Program_weight_tensor_parameter_334: class Program_weight_tensor_parameter_335: name = "parameter_335" + original_name = "batch_norm_33.w_2" shape = [160] dtype = "float32" min_val = float("0.00203974") @@ -3696,6 +4032,7 @@ class Program_weight_tensor_parameter_335: class Program_weight_tensor_parameter_336: name = "parameter_336" + original_name = "batch_norm_33.w_1" shape = [160] dtype = "float32" min_val = float("-0.156245") @@ -3707,6 +4044,7 @@ class Program_weight_tensor_parameter_336: class Program_weight_tensor_parameter_337: name = "parameter_337" + original_name = "conv2d_36.w_0" shape = [160, 1, 3, 3] dtype = "float32" min_val = float("-0.320197") @@ -3718,6 +4056,7 @@ class Program_weight_tensor_parameter_337: class Program_weight_tensor_parameter_338: name = "parameter_338" + original_name = "conv2d_35.w_0" shape = [256, 160, 1, 1] dtype = "float32" min_val = float("-0.347968") @@ -3729,6 +4068,7 @@ class Program_weight_tensor_parameter_338: class Program_weight_tensor_parameter_339: name = "parameter_339" + original_name = "batch_norm_32.b_0" shape = [160] dtype = "float32" min_val = float("-4.0167") @@ -3740,6 +4080,7 @@ class Program_weight_tensor_parameter_339: class Program_weight_tensor_parameter_340: name = "parameter_340" + original_name = "batch_norm_32.w_0" shape = [160] dtype = "float32" min_val = float("-0.0216524") @@ -3751,6 +4092,7 @@ class Program_weight_tensor_parameter_340: class Program_weight_tensor_parameter_341: name = "parameter_341" + original_name = "batch_norm_32.w_2" shape = [160] dtype = "float32" min_val = float("0.872134") @@ -3762,6 +4104,7 @@ class Program_weight_tensor_parameter_341: class Program_weight_tensor_parameter_342: name = "parameter_342" + original_name = "batch_norm_32.w_1" shape = [160] dtype = "float32" min_val = float("-19.2529") @@ -3773,6 +4116,7 @@ class Program_weight_tensor_parameter_342: class Program_weight_tensor_parameter_343: name = "parameter_343" + original_name = "batch_norm_31.b_0" shape = [160] dtype = "float32" min_val = float("-1.63132") @@ -3784,6 +4128,7 @@ class Program_weight_tensor_parameter_343: class Program_weight_tensor_parameter_344: name = "parameter_344" + original_name = "batch_norm_31.w_0" shape = [160] dtype = "float32" min_val = float("-0.0587486") @@ -3795,6 +4140,7 @@ class Program_weight_tensor_parameter_344: class Program_weight_tensor_parameter_345: name = "parameter_345" + original_name = "batch_norm_31.w_2" shape = [160] dtype = "float32" min_val = float("0.442284") @@ -3806,6 +4152,7 @@ class Program_weight_tensor_parameter_345: class Program_weight_tensor_parameter_346: name = "parameter_346" + original_name = "batch_norm_31.w_1" shape = [160] dtype = "float32" min_val = float("-1.49187") @@ -3817,6 +4164,7 @@ class Program_weight_tensor_parameter_346: class Program_weight_tensor_parameter_347: name = "parameter_347" + original_name = "conv2d_34.w_0" shape = [160, 640, 1, 1] dtype = "float32" min_val = float("-0.361866") @@ -3828,6 +4176,7 @@ class Program_weight_tensor_parameter_347: class Program_weight_tensor_parameter_348: name = "parameter_348" + original_name = "batch_norm_30.b_0" shape = [640] dtype = "float32" min_val = float("-3.32935") @@ -3839,6 +4188,7 @@ class Program_weight_tensor_parameter_348: class Program_weight_tensor_parameter_349: name = "parameter_349" + original_name = "batch_norm_30.w_0" shape = [640] dtype = "float32" min_val = float("0.145414") @@ -3850,6 +4200,7 @@ class Program_weight_tensor_parameter_349: class Program_weight_tensor_parameter_350: name = "parameter_350" + original_name = "batch_norm_30.w_2" shape = [640] dtype = "float32" min_val = float("7.21669e-43") @@ -3861,6 +4212,7 @@ class Program_weight_tensor_parameter_350: class Program_weight_tensor_parameter_351: name = "parameter_351" + original_name = "batch_norm_30.w_1" shape = [640] dtype = "float32" min_val = float("-0.49827") @@ -3872,6 +4224,7 @@ class Program_weight_tensor_parameter_351: class Program_weight_tensor_parameter_352: name = "parameter_352" + original_name = "conv2d_33.w_0" shape = [640, 1, 3, 3] dtype = "float32" min_val = float("-0.30283") @@ -3883,6 +4236,7 @@ class Program_weight_tensor_parameter_352: class Program_weight_tensor_parameter_353: name = "parameter_353" + original_name = "batch_norm_29.b_0" shape = [640] dtype = "float32" min_val = float("-1.38184") @@ -3894,6 +4248,7 @@ class Program_weight_tensor_parameter_353: class Program_weight_tensor_parameter_354: name = "parameter_354" + original_name = "batch_norm_29.w_0" shape = [640] dtype = "float32" min_val = float("0.160277") @@ -3905,6 +4260,7 @@ class Program_weight_tensor_parameter_354: class Program_weight_tensor_parameter_355: name = "parameter_355" + original_name = "batch_norm_29.w_2" shape = [640] dtype = "float32" min_val = float("3.53449e-26") @@ -3916,6 +4272,7 @@ class Program_weight_tensor_parameter_355: class Program_weight_tensor_parameter_356: name = "parameter_356" + original_name = "batch_norm_29.w_1" shape = [640] dtype = "float32" min_val = float("-1.04305") @@ -3927,6 +4284,7 @@ class Program_weight_tensor_parameter_356: class Program_weight_tensor_parameter_357: name = "parameter_357" + original_name = "conv2d_32.w_0" shape = [640, 160, 1, 1] dtype = "float32" min_val = float("-0.344982") @@ -3938,6 +4296,7 @@ class Program_weight_tensor_parameter_357: class Program_weight_tensor_parameter_358: name = "parameter_358" + original_name = "batch_norm_28.b_0" shape = [160] dtype = "float32" min_val = float("-1.39259") @@ -3949,6 +4308,7 @@ class Program_weight_tensor_parameter_358: class Program_weight_tensor_parameter_359: name = "parameter_359" + original_name = "batch_norm_28.w_0" shape = [160] dtype = "float32" min_val = float("0.0654333") @@ -3960,6 +4320,7 @@ class Program_weight_tensor_parameter_359: class Program_weight_tensor_parameter_360: name = "parameter_360" + original_name = "batch_norm_28.w_2" shape = [160] dtype = "float32" min_val = float("0.0830431") @@ -3971,6 +4332,7 @@ class Program_weight_tensor_parameter_360: class Program_weight_tensor_parameter_361: name = "parameter_361" + original_name = "batch_norm_28.w_1" shape = [160] dtype = "float32" min_val = float("-6.46719") @@ -3982,6 +4344,7 @@ class Program_weight_tensor_parameter_361: class Program_weight_tensor_parameter_362: name = "parameter_362" + original_name = "conv2d_31.w_0" shape = [160, 1, 3, 3] dtype = "float32" min_val = float("-0.431742") @@ -3993,6 +4356,7 @@ class Program_weight_tensor_parameter_362: class Program_weight_tensor_parameter_363: name = "parameter_363" + original_name = "conv2d_30.w_0" shape = [160, 256, 1, 1] dtype = "float32" min_val = float("-0.378248") @@ -4004,6 +4368,7 @@ class Program_weight_tensor_parameter_363: class Program_weight_tensor_parameter_364: name = "parameter_364" + original_name = "conv2d_29.w_0" shape = [64, 160, 1, 1] dtype = "float32" min_val = float("-0.379858") @@ -4015,6 +4380,7 @@ class Program_weight_tensor_parameter_364: class Program_weight_tensor_parameter_365: name = "parameter_365" + original_name = "batch_norm_27.b_0" shape = [160] dtype = "float32" min_val = float("-0.898663") @@ -4026,6 +4392,7 @@ class Program_weight_tensor_parameter_365: class Program_weight_tensor_parameter_366: name = "parameter_366" + original_name = "batch_norm_27.w_0" shape = [160] dtype = "float32" min_val = float("-1.24638") @@ -4037,6 +4404,7 @@ class Program_weight_tensor_parameter_366: class Program_weight_tensor_parameter_367: name = "parameter_367" + original_name = "batch_norm_27.w_2" shape = [160] dtype = "float32" min_val = float("3.09401e-05") @@ -4048,6 +4416,7 @@ class Program_weight_tensor_parameter_367: class Program_weight_tensor_parameter_368: name = "parameter_368" + original_name = "batch_norm_27.w_1" shape = [160] dtype = "float32" min_val = float("-0.75771") @@ -4059,6 +4428,7 @@ class Program_weight_tensor_parameter_368: class Program_weight_tensor_parameter_369: name = "parameter_369" + original_name = "conv2d_27.w_0" shape = [160, 1, 3, 3] dtype = "float32" min_val = float("-0.313703") @@ -4070,6 +4440,7 @@ class Program_weight_tensor_parameter_369: class Program_weight_tensor_parameter_370: name = "parameter_370" + original_name = "conv2d_28.w_0" shape = [64, 160, 1, 1] dtype = "float32" min_val = float("-0.365041") @@ -4081,6 +4452,7 @@ class Program_weight_tensor_parameter_370: class Program_weight_tensor_parameter_371: name = "parameter_371" + original_name = "batch_norm_26.b_0" shape = [160] dtype = "float32" min_val = float("-1.36956") @@ -4092,6 +4464,7 @@ class Program_weight_tensor_parameter_371: class Program_weight_tensor_parameter_372: name = "parameter_372" + original_name = "batch_norm_26.w_0" shape = [160] dtype = "float32" min_val = float("-1.61019") @@ -4103,6 +4476,7 @@ class Program_weight_tensor_parameter_372: class Program_weight_tensor_parameter_373: name = "parameter_373" + original_name = "batch_norm_26.w_2" shape = [160] dtype = "float32" min_val = float("4.40987e-05") @@ -4114,6 +4488,7 @@ class Program_weight_tensor_parameter_373: class Program_weight_tensor_parameter_374: name = "parameter_374" + original_name = "batch_norm_26.w_1" shape = [160] dtype = "float32" min_val = float("-0.643971") @@ -4125,6 +4500,7 @@ class Program_weight_tensor_parameter_374: class Program_weight_tensor_parameter_375: name = "parameter_375" + original_name = "conv2d_26.w_0" shape = [160, 1, 3, 3] dtype = "float32" min_val = float("-0.278009") @@ -4136,6 +4512,7 @@ class Program_weight_tensor_parameter_375: class Program_weight_tensor_parameter_376: name = "parameter_376" + original_name = "conv2d_25.w_0" shape = [256, 160, 1, 1] dtype = "float32" min_val = float("-0.348846") @@ -4147,6 +4524,7 @@ class Program_weight_tensor_parameter_376: class Program_weight_tensor_parameter_377: name = "parameter_377" + original_name = "batch_norm_25.b_0" shape = [160] dtype = "float32" min_val = float("-2.85089") @@ -4158,6 +4536,7 @@ class Program_weight_tensor_parameter_377: class Program_weight_tensor_parameter_378: name = "parameter_378" + original_name = "batch_norm_25.w_0" shape = [160] dtype = "float32" min_val = float("-0.790186") @@ -4169,6 +4548,7 @@ class Program_weight_tensor_parameter_378: class Program_weight_tensor_parameter_379: name = "parameter_379" + original_name = "batch_norm_25.w_2" shape = [160] dtype = "float32" min_val = float("0.00326161") @@ -4180,6 +4560,7 @@ class Program_weight_tensor_parameter_379: class Program_weight_tensor_parameter_380: name = "parameter_380" + original_name = "batch_norm_25.w_1" shape = [160] dtype = "float32" min_val = float("-1.0015") @@ -4191,6 +4572,7 @@ class Program_weight_tensor_parameter_380: class Program_weight_tensor_parameter_381: name = "parameter_381" + original_name = "batch_norm_24.b_0" shape = [160] dtype = "float32" min_val = float("-1.96122") @@ -4202,6 +4584,7 @@ class Program_weight_tensor_parameter_381: class Program_weight_tensor_parameter_382: name = "parameter_382" + original_name = "batch_norm_24.w_0" shape = [160] dtype = "float32" min_val = float("0.0816593") @@ -4213,6 +4596,7 @@ class Program_weight_tensor_parameter_382: class Program_weight_tensor_parameter_383: name = "parameter_383" + original_name = "batch_norm_24.w_2" shape = [160] dtype = "float32" min_val = float("0.44683") @@ -4224,6 +4608,7 @@ class Program_weight_tensor_parameter_383: class Program_weight_tensor_parameter_384: name = "parameter_384" + original_name = "batch_norm_24.w_1" shape = [160] dtype = "float32" min_val = float("-1.33542") @@ -4235,6 +4620,7 @@ class Program_weight_tensor_parameter_384: class Program_weight_tensor_parameter_385: name = "parameter_385" + original_name = "conv2d_24.w_0" shape = [160, 640, 1, 1] dtype = "float32" min_val = float("-0.383852") @@ -4246,6 +4632,7 @@ class Program_weight_tensor_parameter_385: class Program_weight_tensor_parameter_386: name = "parameter_386" + original_name = "batch_norm_23.b_0" shape = [640] dtype = "float32" min_val = float("-4.34182") @@ -4257,6 +4644,7 @@ class Program_weight_tensor_parameter_386: class Program_weight_tensor_parameter_387: name = "parameter_387" + original_name = "batch_norm_23.w_0" shape = [640] dtype = "float32" min_val = float("0.125845") @@ -4268,6 +4656,7 @@ class Program_weight_tensor_parameter_387: class Program_weight_tensor_parameter_388: name = "parameter_388" + original_name = "batch_norm_23.w_2" shape = [640] dtype = "float32" min_val = float("5.75934e-43") @@ -4279,6 +4668,7 @@ class Program_weight_tensor_parameter_388: class Program_weight_tensor_parameter_389: name = "parameter_389" + original_name = "batch_norm_23.w_1" shape = [640] dtype = "float32" min_val = float("-0.942875") @@ -4290,6 +4680,7 @@ class Program_weight_tensor_parameter_389: class Program_weight_tensor_parameter_390: name = "parameter_390" + original_name = "conv2d_23.w_0" shape = [640, 1, 5, 5] dtype = "float32" min_val = float("-0.338868") @@ -4301,6 +4692,7 @@ class Program_weight_tensor_parameter_390: class Program_weight_tensor_parameter_391: name = "parameter_391" + original_name = "batch_norm_22.b_0" shape = [640] dtype = "float32" min_val = float("-1.15046") @@ -4312,6 +4704,7 @@ class Program_weight_tensor_parameter_391: class Program_weight_tensor_parameter_392: name = "parameter_392" + original_name = "batch_norm_22.w_0" shape = [640] dtype = "float32" min_val = float("0.137722") @@ -4323,6 +4716,7 @@ class Program_weight_tensor_parameter_392: class Program_weight_tensor_parameter_393: name = "parameter_393" + original_name = "batch_norm_22.w_2" shape = [640] dtype = "float32" min_val = float("9.05038e-27") @@ -4334,6 +4728,7 @@ class Program_weight_tensor_parameter_393: class Program_weight_tensor_parameter_394: name = "parameter_394" + original_name = "batch_norm_22.w_1" shape = [640] dtype = "float32" min_val = float("-0.88565") @@ -4345,6 +4740,7 @@ class Program_weight_tensor_parameter_394: class Program_weight_tensor_parameter_395: name = "parameter_395" + original_name = "conv2d_22.w_0" shape = [640, 160, 1, 1] dtype = "float32" min_val = float("-0.425192") @@ -4356,6 +4752,7 @@ class Program_weight_tensor_parameter_395: class Program_weight_tensor_parameter_396: name = "parameter_396" + original_name = "batch_norm_21.b_0" shape = [160] dtype = "float32" min_val = float("-1.33314") @@ -4367,6 +4764,7 @@ class Program_weight_tensor_parameter_396: class Program_weight_tensor_parameter_397: name = "parameter_397" + original_name = "batch_norm_21.w_0" shape = [160] dtype = "float32" min_val = float("0.236549") @@ -4378,6 +4776,7 @@ class Program_weight_tensor_parameter_397: class Program_weight_tensor_parameter_398: name = "parameter_398" + original_name = "batch_norm_21.w_2" shape = [160] dtype = "float32" min_val = float("4.0206e-05") @@ -4389,6 +4788,7 @@ class Program_weight_tensor_parameter_398: class Program_weight_tensor_parameter_399: name = "parameter_399" + original_name = "batch_norm_21.w_1" shape = [160] dtype = "float32" min_val = float("-0.468456") @@ -4400,6 +4800,7 @@ class Program_weight_tensor_parameter_399: class Program_weight_tensor_parameter_400: name = "parameter_400" + original_name = "conv2d_21.w_0" shape = [160, 1, 3, 3] dtype = "float32" min_val = float("-0.386278") @@ -4411,6 +4812,7 @@ class Program_weight_tensor_parameter_400: class Program_weight_tensor_parameter_401: name = "parameter_401" + original_name = "batch_norm_20.b_0" shape = [160] dtype = "float32" min_val = float("-1.26748") @@ -4422,6 +4824,7 @@ class Program_weight_tensor_parameter_401: class Program_weight_tensor_parameter_402: name = "parameter_402" + original_name = "batch_norm_20.w_0" shape = [160] dtype = "float32" min_val = float("-0.131969") @@ -4433,6 +4836,7 @@ class Program_weight_tensor_parameter_402: class Program_weight_tensor_parameter_403: name = "parameter_403" + original_name = "batch_norm_20.w_2" shape = [160] dtype = "float32" min_val = float("0.600136") @@ -4444,6 +4848,7 @@ class Program_weight_tensor_parameter_403: class Program_weight_tensor_parameter_404: name = "parameter_404" + original_name = "batch_norm_20.w_1" shape = [160] dtype = "float32" min_val = float("-1.24065") @@ -4455,6 +4860,7 @@ class Program_weight_tensor_parameter_404: class Program_weight_tensor_parameter_405: name = "parameter_405" + original_name = "conv2d_20.w_0" shape = [160, 640, 1, 1] dtype = "float32" min_val = float("-0.496751") @@ -4466,6 +4872,7 @@ class Program_weight_tensor_parameter_405: class Program_weight_tensor_parameter_406: name = "parameter_406" + original_name = "batch_norm_19.b_0" shape = [640] dtype = "float32" min_val = float("-3.3716") @@ -4477,6 +4884,7 @@ class Program_weight_tensor_parameter_406: class Program_weight_tensor_parameter_407: name = "parameter_407" + original_name = "batch_norm_19.w_0" shape = [640] dtype = "float32" min_val = float("0.19459") @@ -4488,6 +4896,7 @@ class Program_weight_tensor_parameter_407: class Program_weight_tensor_parameter_408: name = "parameter_408" + original_name = "batch_norm_19.w_2" shape = [640] dtype = "float32" min_val = float("6.23578e-43") @@ -4499,6 +4908,7 @@ class Program_weight_tensor_parameter_408: class Program_weight_tensor_parameter_409: name = "parameter_409" + original_name = "batch_norm_19.w_1" shape = [640] dtype = "float32" min_val = float("-0.418662") @@ -4510,6 +4920,7 @@ class Program_weight_tensor_parameter_409: class Program_weight_tensor_parameter_410: name = "parameter_410" + original_name = "conv2d_19.w_0" shape = [640, 1, 3, 3] dtype = "float32" min_val = float("-0.32203") @@ -4521,6 +4932,7 @@ class Program_weight_tensor_parameter_410: class Program_weight_tensor_parameter_411: name = "parameter_411" + original_name = "batch_norm_18.b_0" shape = [640] dtype = "float32" min_val = float("-1.11832") @@ -4532,6 +4944,7 @@ class Program_weight_tensor_parameter_411: class Program_weight_tensor_parameter_412: name = "parameter_412" + original_name = "batch_norm_18.w_0" shape = [640] dtype = "float32" min_val = float("-0.0124616") @@ -4543,6 +4956,7 @@ class Program_weight_tensor_parameter_412: class Program_weight_tensor_parameter_413: name = "parameter_413" + original_name = "batch_norm_18.w_2" shape = [640] dtype = "float32" min_val = float("8.22979e-27") @@ -4554,6 +4968,7 @@ class Program_weight_tensor_parameter_413: class Program_weight_tensor_parameter_414: name = "parameter_414" + original_name = "batch_norm_18.w_1" shape = [640] dtype = "float32" min_val = float("-0.838013") @@ -4565,6 +4980,7 @@ class Program_weight_tensor_parameter_414: class Program_weight_tensor_parameter_415: name = "parameter_415" + original_name = "conv2d_18.w_0" shape = [640, 160, 1, 1] dtype = "float32" min_val = float("-0.347318") @@ -4576,6 +4992,7 @@ class Program_weight_tensor_parameter_415: class Program_weight_tensor_parameter_416: name = "parameter_416" + original_name = "batch_norm_17.b_0" shape = [160] dtype = "float32" min_val = float("-1.18837") @@ -4587,6 +5004,7 @@ class Program_weight_tensor_parameter_416: class Program_weight_tensor_parameter_417: name = "parameter_417" + original_name = "batch_norm_17.w_0" shape = [160] dtype = "float32" min_val = float("-0.243216") @@ -4598,6 +5016,7 @@ class Program_weight_tensor_parameter_417: class Program_weight_tensor_parameter_418: name = "parameter_418" + original_name = "batch_norm_17.w_2" shape = [160] dtype = "float32" min_val = float("2.04448e-06") @@ -4609,6 +5028,7 @@ class Program_weight_tensor_parameter_418: class Program_weight_tensor_parameter_419: name = "parameter_419" + original_name = "batch_norm_17.w_1" shape = [160] dtype = "float32" min_val = float("-0.700448") @@ -4620,6 +5040,7 @@ class Program_weight_tensor_parameter_419: class Program_weight_tensor_parameter_420: name = "parameter_420" + original_name = "conv2d_17.w_0" shape = [160, 1, 3, 3] dtype = "float32" min_val = float("-0.450486") @@ -4631,6 +5052,7 @@ class Program_weight_tensor_parameter_420: class Program_weight_tensor_parameter_421: name = "parameter_421" + original_name = "batch_norm_16.b_0" shape = [160] dtype = "float32" min_val = float("-0.612576") @@ -4642,6 +5064,7 @@ class Program_weight_tensor_parameter_421: class Program_weight_tensor_parameter_422: name = "parameter_422" + original_name = "batch_norm_16.w_0" shape = [160] dtype = "float32" min_val = float("-0.707977") @@ -4653,6 +5076,7 @@ class Program_weight_tensor_parameter_422: class Program_weight_tensor_parameter_423: name = "parameter_423" + original_name = "batch_norm_16.w_2" shape = [160] dtype = "float32" min_val = float("0.122628") @@ -4664,6 +5088,7 @@ class Program_weight_tensor_parameter_423: class Program_weight_tensor_parameter_424: name = "parameter_424" + original_name = "batch_norm_16.w_1" shape = [160] dtype = "float32" min_val = float("-0.35571") @@ -4675,6 +5100,7 @@ class Program_weight_tensor_parameter_424: class Program_weight_tensor_parameter_425: name = "parameter_425" + original_name = "conv2d_16.w_0" shape = [160, 320, 1, 1] dtype = "float32" min_val = float("-0.363628") @@ -4686,6 +5112,7 @@ class Program_weight_tensor_parameter_425: class Program_weight_tensor_parameter_426: name = "parameter_426" + original_name = "batch_norm_15.b_0" shape = [320] dtype = "float32" min_val = float("-2.81637") @@ -4697,6 +5124,7 @@ class Program_weight_tensor_parameter_426: class Program_weight_tensor_parameter_427: name = "parameter_427" + original_name = "batch_norm_15.w_0" shape = [320] dtype = "float32" min_val = float("0.342459") @@ -4708,6 +5136,7 @@ class Program_weight_tensor_parameter_427: class Program_weight_tensor_parameter_428: name = "parameter_428" + original_name = "batch_norm_15.w_2" shape = [320] dtype = "float32" min_val = float("0.273675") @@ -4719,6 +5148,7 @@ class Program_weight_tensor_parameter_428: class Program_weight_tensor_parameter_429: name = "parameter_429" + original_name = "batch_norm_15.w_1" shape = [320] dtype = "float32" min_val = float("-0.651072") @@ -4730,6 +5160,7 @@ class Program_weight_tensor_parameter_429: class Program_weight_tensor_parameter_430: name = "parameter_430" + original_name = "conv2d_15.w_0" shape = [320, 160, 1, 1] dtype = "float32" min_val = float("-0.449129") @@ -4741,6 +5172,7 @@ class Program_weight_tensor_parameter_430: class Program_weight_tensor_parameter_431: name = "parameter_431" + original_name = "batch_norm_14.b_0" shape = [160] dtype = "float32" min_val = float("-2.65917") @@ -4752,6 +5184,7 @@ class Program_weight_tensor_parameter_431: class Program_weight_tensor_parameter_432: name = "parameter_432" + original_name = "batch_norm_14.w_0" shape = [160] dtype = "float32" min_val = float("-0.0694491") @@ -4763,6 +5196,7 @@ class Program_weight_tensor_parameter_432: class Program_weight_tensor_parameter_433: name = "parameter_433" + original_name = "batch_norm_14.w_2" shape = [160] dtype = "float32" min_val = float("1.26893") @@ -4774,6 +5208,7 @@ class Program_weight_tensor_parameter_433: class Program_weight_tensor_parameter_434: name = "parameter_434" + original_name = "batch_norm_14.w_1" shape = [160] dtype = "float32" min_val = float("-3.76184") @@ -4785,6 +5220,7 @@ class Program_weight_tensor_parameter_434: class Program_weight_tensor_parameter_435: name = "parameter_435" + original_name = "conv2d_14.w_0" shape = [160, 480, 1, 1] dtype = "float32" min_val = float("-0.416282") @@ -4796,6 +5232,7 @@ class Program_weight_tensor_parameter_435: class Program_weight_tensor_parameter_436: name = "parameter_436" + original_name = "batch_norm_13.b_0" shape = [480] dtype = "float32" min_val = float("-1.10248") @@ -4807,6 +5244,7 @@ class Program_weight_tensor_parameter_436: class Program_weight_tensor_parameter_437: name = "parameter_437" + original_name = "batch_norm_13.w_0" shape = [480] dtype = "float32" min_val = float("0.22788") @@ -4818,6 +5256,7 @@ class Program_weight_tensor_parameter_437: class Program_weight_tensor_parameter_438: name = "parameter_438" + original_name = "batch_norm_13.w_2" shape = [480] dtype = "float32" min_val = float("1.77589e-05") @@ -4829,6 +5268,7 @@ class Program_weight_tensor_parameter_438: class Program_weight_tensor_parameter_439: name = "parameter_439" + original_name = "batch_norm_13.w_1" shape = [480] dtype = "float32" min_val = float("-1.35637") @@ -4840,6 +5280,7 @@ class Program_weight_tensor_parameter_439: class Program_weight_tensor_parameter_440: name = "parameter_440" + original_name = "conv2d_13.w_0" shape = [480, 1, 5, 5] dtype = "float32" min_val = float("-0.336938") @@ -4851,6 +5292,7 @@ class Program_weight_tensor_parameter_440: class Program_weight_tensor_parameter_441: name = "parameter_441" + original_name = "batch_norm_12.b_0" shape = [480] dtype = "float32" min_val = float("-1.05142") @@ -4862,6 +5304,7 @@ class Program_weight_tensor_parameter_441: class Program_weight_tensor_parameter_442: name = "parameter_442" + original_name = "batch_norm_12.w_0" shape = [480] dtype = "float32" min_val = float("0.0750992") @@ -4873,6 +5316,7 @@ class Program_weight_tensor_parameter_442: class Program_weight_tensor_parameter_443: name = "parameter_443" + original_name = "batch_norm_12.w_2" shape = [480] dtype = "float32" min_val = float("0.218594") @@ -4884,6 +5328,7 @@ class Program_weight_tensor_parameter_443: class Program_weight_tensor_parameter_444: name = "parameter_444" + original_name = "batch_norm_12.w_1" shape = [480] dtype = "float32" min_val = float("-0.727059") @@ -4895,6 +5340,7 @@ class Program_weight_tensor_parameter_444: class Program_weight_tensor_parameter_445: name = "parameter_445" + original_name = "conv2d_12.w_0" shape = [480, 80, 1, 1] dtype = "float32" min_val = float("-0.442088") @@ -4906,6 +5352,7 @@ class Program_weight_tensor_parameter_445: class Program_weight_tensor_parameter_446: name = "parameter_446" + original_name = "batch_norm_11.b_0" shape = [80] dtype = "float32" min_val = float("-1.33769") @@ -4917,6 +5364,7 @@ class Program_weight_tensor_parameter_446: class Program_weight_tensor_parameter_447: name = "parameter_447" + original_name = "batch_norm_11.w_0" shape = [80] dtype = "float32" min_val = float("0.398649") @@ -4928,6 +5376,7 @@ class Program_weight_tensor_parameter_447: class Program_weight_tensor_parameter_448: name = "parameter_448" + original_name = "batch_norm_11.w_2" shape = [80] dtype = "float32" min_val = float("0.00759468") @@ -4939,6 +5388,7 @@ class Program_weight_tensor_parameter_448: class Program_weight_tensor_parameter_449: name = "parameter_449" + original_name = "batch_norm_11.w_1" shape = [80] dtype = "float32" min_val = float("-0.593186") @@ -4950,6 +5400,7 @@ class Program_weight_tensor_parameter_449: class Program_weight_tensor_parameter_450: name = "parameter_450" + original_name = "conv2d_11.w_0" shape = [80, 1, 3, 3] dtype = "float32" min_val = float("-0.263257") @@ -4961,6 +5412,7 @@ class Program_weight_tensor_parameter_450: class Program_weight_tensor_parameter_451: name = "parameter_451" + original_name = "batch_norm_10.b_0" shape = [80] dtype = "float32" min_val = float("-1.54472") @@ -4972,6 +5424,7 @@ class Program_weight_tensor_parameter_451: class Program_weight_tensor_parameter_452: name = "parameter_452" + original_name = "batch_norm_10.w_0" shape = [80] dtype = "float32" min_val = float("-0.0344433") @@ -4983,6 +5436,7 @@ class Program_weight_tensor_parameter_452: class Program_weight_tensor_parameter_453: name = "parameter_453" + original_name = "batch_norm_10.w_2" shape = [80] dtype = "float32" min_val = float("0.181101") @@ -4994,6 +5448,7 @@ class Program_weight_tensor_parameter_453: class Program_weight_tensor_parameter_454: name = "parameter_454" + original_name = "batch_norm_10.w_1" shape = [80] dtype = "float32" min_val = float("-1.54011") @@ -5005,6 +5460,7 @@ class Program_weight_tensor_parameter_454: class Program_weight_tensor_parameter_455: name = "parameter_455" + original_name = "conv2d_10.w_0" shape = [80, 160, 1, 1] dtype = "float32" min_val = float("-0.316365") @@ -5016,6 +5472,7 @@ class Program_weight_tensor_parameter_455: class Program_weight_tensor_parameter_456: name = "parameter_456" + original_name = "batch_norm_9.b_0" shape = [160] dtype = "float32" min_val = float("-3.0971") @@ -5027,6 +5484,7 @@ class Program_weight_tensor_parameter_456: class Program_weight_tensor_parameter_457: name = "parameter_457" + original_name = "batch_norm_9.w_0" shape = [160] dtype = "float32" min_val = float("0.178138") @@ -5038,6 +5496,7 @@ class Program_weight_tensor_parameter_457: class Program_weight_tensor_parameter_458: name = "parameter_458" + original_name = "batch_norm_9.w_2" shape = [160] dtype = "float32" min_val = float("0.00011398") @@ -5049,6 +5508,7 @@ class Program_weight_tensor_parameter_458: class Program_weight_tensor_parameter_459: name = "parameter_459" + original_name = "batch_norm_9.w_1" shape = [160] dtype = "float32" min_val = float("-0.444") @@ -5060,6 +5520,7 @@ class Program_weight_tensor_parameter_459: class Program_weight_tensor_parameter_460: name = "parameter_460" + original_name = "conv2d_9.w_0" shape = [160, 1, 3, 3] dtype = "float32" min_val = float("-0.345514") @@ -5071,6 +5532,7 @@ class Program_weight_tensor_parameter_460: class Program_weight_tensor_parameter_461: name = "parameter_461" + original_name = "batch_norm_8.b_0" shape = [160] dtype = "float32" min_val = float("-0.95199") @@ -5082,6 +5544,7 @@ class Program_weight_tensor_parameter_461: class Program_weight_tensor_parameter_462: name = "parameter_462" + original_name = "batch_norm_8.w_0" shape = [160] dtype = "float32" min_val = float("0.231542") @@ -5093,6 +5556,7 @@ class Program_weight_tensor_parameter_462: class Program_weight_tensor_parameter_463: name = "parameter_463" + original_name = "batch_norm_8.w_2" shape = [160] dtype = "float32" min_val = float("0.218408") @@ -5104,6 +5568,7 @@ class Program_weight_tensor_parameter_463: class Program_weight_tensor_parameter_464: name = "parameter_464" + original_name = "batch_norm_8.w_1" shape = [160] dtype = "float32" min_val = float("-0.581288") @@ -5115,6 +5580,7 @@ class Program_weight_tensor_parameter_464: class Program_weight_tensor_parameter_465: name = "parameter_465" + original_name = "conv2d_8.w_0" shape = [160, 80, 1, 1] dtype = "float32" min_val = float("-0.358905") @@ -5126,6 +5592,7 @@ class Program_weight_tensor_parameter_465: class Program_weight_tensor_parameter_466: name = "parameter_466" + original_name = "batch_norm_7.b_0" shape = [80] dtype = "float32" min_val = float("-1.34949") @@ -5137,6 +5604,7 @@ class Program_weight_tensor_parameter_466: class Program_weight_tensor_parameter_467: name = "parameter_467" + original_name = "batch_norm_7.w_0" shape = [80] dtype = "float32" min_val = float("-0.210599") @@ -5148,6 +5616,7 @@ class Program_weight_tensor_parameter_467: class Program_weight_tensor_parameter_468: name = "parameter_468" + original_name = "batch_norm_7.w_2" shape = [80] dtype = "float32" min_val = float("0.000255494") @@ -5159,6 +5628,7 @@ class Program_weight_tensor_parameter_468: class Program_weight_tensor_parameter_469: name = "parameter_469" + original_name = "batch_norm_7.w_1" shape = [80] dtype = "float32" min_val = float("-0.346022") @@ -5170,6 +5640,7 @@ class Program_weight_tensor_parameter_469: class Program_weight_tensor_parameter_470: name = "parameter_470" + original_name = "conv2d_7.w_0" shape = [80, 1, 3, 3] dtype = "float32" min_val = float("-0.314785") @@ -5181,6 +5652,7 @@ class Program_weight_tensor_parameter_470: class Program_weight_tensor_parameter_471: name = "parameter_471" + original_name = "batch_norm_6.b_0" shape = [80] dtype = "float32" min_val = float("-2.50409") @@ -5192,6 +5664,7 @@ class Program_weight_tensor_parameter_471: class Program_weight_tensor_parameter_472: name = "parameter_472" + original_name = "batch_norm_6.w_0" shape = [80] dtype = "float32" min_val = float("0.41998") @@ -5203,6 +5676,7 @@ class Program_weight_tensor_parameter_472: class Program_weight_tensor_parameter_473: name = "parameter_473" + original_name = "batch_norm_6.w_2" shape = [80] dtype = "float32" min_val = float("0.377263") @@ -5214,6 +5688,7 @@ class Program_weight_tensor_parameter_473: class Program_weight_tensor_parameter_474: name = "parameter_474" + original_name = "batch_norm_6.w_1" shape = [80] dtype = "float32" min_val = float("-2.89255") @@ -5225,6 +5700,7 @@ class Program_weight_tensor_parameter_474: class Program_weight_tensor_parameter_475: name = "parameter_475" + original_name = "conv2d_6.w_0" shape = [80, 192, 1, 1] dtype = "float32" min_val = float("-0.368453") @@ -5236,6 +5712,7 @@ class Program_weight_tensor_parameter_475: class Program_weight_tensor_parameter_476: name = "parameter_476" + original_name = "batch_norm_5.b_0" shape = [192] dtype = "float32" min_val = float("-0.574554") @@ -5247,6 +5724,7 @@ class Program_weight_tensor_parameter_476: class Program_weight_tensor_parameter_477: name = "parameter_477" + original_name = "batch_norm_5.w_0" shape = [192] dtype = "float32" min_val = float("0.271042") @@ -5258,6 +5736,7 @@ class Program_weight_tensor_parameter_477: class Program_weight_tensor_parameter_478: name = "parameter_478" + original_name = "batch_norm_5.w_2" shape = [192] dtype = "float32" min_val = float("0.00116341") @@ -5269,6 +5748,7 @@ class Program_weight_tensor_parameter_478: class Program_weight_tensor_parameter_479: name = "parameter_479" + original_name = "batch_norm_5.w_1" shape = [192] dtype = "float32" min_val = float("-1.03425") @@ -5280,6 +5760,7 @@ class Program_weight_tensor_parameter_479: class Program_weight_tensor_parameter_480: name = "parameter_480" + original_name = "conv2d_5.w_0" shape = [192, 1, 5, 5] dtype = "float32" min_val = float("-0.318277") @@ -5291,6 +5772,7 @@ class Program_weight_tensor_parameter_480: class Program_weight_tensor_parameter_481: name = "parameter_481" + original_name = "batch_norm_4.b_0" shape = [192] dtype = "float32" min_val = float("-0.98538") @@ -5302,6 +5784,7 @@ class Program_weight_tensor_parameter_481: class Program_weight_tensor_parameter_482: name = "parameter_482" + original_name = "batch_norm_4.w_0" shape = [192] dtype = "float32" min_val = float("0.275652") @@ -5313,6 +5796,7 @@ class Program_weight_tensor_parameter_482: class Program_weight_tensor_parameter_483: name = "parameter_483" + original_name = "batch_norm_4.w_2" shape = [192] dtype = "float32" min_val = float("0.111293") @@ -5324,6 +5808,7 @@ class Program_weight_tensor_parameter_483: class Program_weight_tensor_parameter_484: name = "parameter_484" + original_name = "batch_norm_4.w_1" shape = [192] dtype = "float32" min_val = float("-0.434962") @@ -5335,6 +5820,7 @@ class Program_weight_tensor_parameter_484: class Program_weight_tensor_parameter_485: name = "parameter_485" + original_name = "conv2d_4.w_0" shape = [192, 48, 1, 1] dtype = "float32" min_val = float("-0.513254") @@ -5346,6 +5832,7 @@ class Program_weight_tensor_parameter_485: class Program_weight_tensor_parameter_486: name = "parameter_486" + original_name = "batch_norm_3.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -5355,6 +5842,7 @@ class Program_weight_tensor_parameter_486: class Program_weight_tensor_parameter_487: name = "parameter_487" + original_name = "batch_norm_3.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -5364,6 +5852,7 @@ class Program_weight_tensor_parameter_487: class Program_weight_tensor_parameter_488: name = "parameter_488" + original_name = "batch_norm_3.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -5373,6 +5862,7 @@ class Program_weight_tensor_parameter_488: class Program_weight_tensor_parameter_489: name = "parameter_489" + original_name = "batch_norm_3.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -5382,6 +5872,7 @@ class Program_weight_tensor_parameter_489: class Program_weight_tensor_parameter_490: name = "parameter_490" + original_name = "conv2d_3.w_0" shape = [48, 1, 3, 3] dtype = "float32" min_val = float("-0.272606") @@ -5393,6 +5884,7 @@ class Program_weight_tensor_parameter_490: class Program_weight_tensor_parameter_491: name = "parameter_491" + original_name = "batch_norm_2.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -5402,6 +5894,7 @@ class Program_weight_tensor_parameter_491: class Program_weight_tensor_parameter_492: name = "parameter_492" + original_name = "batch_norm_2.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -5411,6 +5904,7 @@ class Program_weight_tensor_parameter_492: class Program_weight_tensor_parameter_493: name = "parameter_493" + original_name = "batch_norm_2.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -5420,6 +5914,7 @@ class Program_weight_tensor_parameter_493: class Program_weight_tensor_parameter_494: name = "parameter_494" + original_name = "batch_norm_2.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -5429,6 +5924,7 @@ class Program_weight_tensor_parameter_494: class Program_weight_tensor_parameter_495: name = "parameter_495" + original_name = "conv2d_2.w_0" shape = [48, 128, 1, 1] dtype = "float32" min_val = float("-0.347591") @@ -5440,6 +5936,7 @@ class Program_weight_tensor_parameter_495: class Program_weight_tensor_parameter_496: name = "parameter_496" + original_name = "batch_norm_1.b_0" shape = [128] dtype = "float32" min_val = float("-6.29432") @@ -5451,6 +5948,7 @@ class Program_weight_tensor_parameter_496: class Program_weight_tensor_parameter_497: name = "parameter_497" + original_name = "batch_norm_1.w_0" shape = [128] dtype = "float32" min_val = float("0.197473") @@ -5462,6 +5960,7 @@ class Program_weight_tensor_parameter_497: class Program_weight_tensor_parameter_498: name = "parameter_498" + original_name = "batch_norm_1.w_2" shape = [128] dtype = "float32" min_val = float("3.08122") @@ -5473,6 +5972,7 @@ class Program_weight_tensor_parameter_498: class Program_weight_tensor_parameter_499: name = "parameter_499" + original_name = "batch_norm_1.w_1" shape = [128] dtype = "float32" min_val = float("-7.45781") @@ -5484,6 +5984,7 @@ class Program_weight_tensor_parameter_499: class Program_weight_tensor_parameter_500: name = "parameter_500" + original_name = "conv2d_1.w_0" shape = [128, 32, 3, 3] dtype = "float32" min_val = float("-0.657108") @@ -5495,6 +5996,7 @@ class Program_weight_tensor_parameter_500: class Program_weight_tensor_parameter_501: name = "parameter_501" + original_name = "batch_norm_0.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -5504,6 +6006,7 @@ class Program_weight_tensor_parameter_501: class Program_weight_tensor_parameter_502: name = "parameter_502" + original_name = "batch_norm_0.w_0" shape = [32] dtype = "float32" min_val = float("0") @@ -5513,6 +6016,7 @@ class Program_weight_tensor_parameter_502: class Program_weight_tensor_parameter_503: name = "parameter_503" + original_name = "batch_norm_0.w_2" shape = [32] dtype = "float32" min_val = float("0") @@ -5522,6 +6026,7 @@ class Program_weight_tensor_parameter_503: class Program_weight_tensor_parameter_504: name = "parameter_504" + original_name = "batch_norm_0.w_1" shape = [32] dtype = "float32" min_val = float("0") @@ -5531,6 +6036,7 @@ class Program_weight_tensor_parameter_504: class Program_weight_tensor_parameter_505: name = "parameter_505" + original_name = "conv2d_0.w_0" shape = [32, 3, 3, 3] dtype = "float32" min_val = float("-0.243601") diff --git a/paddle_samples/PaddleX/Nonstationary/subgraph_10/input_meta.py b/paddle_samples/PaddleX/Nonstationary/subgraph_10/input_meta.py index ef20c10d9..91bd1659a 100644 --- a/paddle_samples/PaddleX/Nonstationary/subgraph_10/input_meta.py +++ b/paddle_samples/PaddleX/Nonstationary/subgraph_10/input_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_data_0: name = "data_0" + original_name = "args_0" shape = [] dtype = "int64" data = [3] @@ -7,6 +8,7 @@ class Program_weight_tensor_data_0: class Program_weight_tensor_data_1: name = "data_1" + original_name = "var_473" shape = [3, 96, 1] dtype = "float32" min_val = float("-1.36201") @@ -18,6 +20,7 @@ class Program_weight_tensor_data_1: class Program_weight_tensor_data_2: name = "data_2" + original_name = "var_474" shape = [3, 192, 4] dtype = "float32" min_val = float("-0.5") @@ -29,6 +32,7 @@ class Program_weight_tensor_data_2: class Program_weight_tensor_data_3: name = "data_3" + original_name = "var_519" shape = [1, 5000, 512] dtype = "float32" min_val = float("-1.0") @@ -40,6 +44,7 @@ class Program_weight_tensor_data_3: class Program_weight_tensor_data_4: name = "data_4" + original_name = "var_613" shape = [1, 5000, 512] dtype = "float32" min_val = float("-1.0") diff --git a/paddle_samples/PaddleX/Nonstationary/subgraph_10/weight_meta.py b/paddle_samples/PaddleX/Nonstationary/subgraph_10/weight_meta.py index 622407ca0..663800f0d 100644 --- a/paddle_samples/PaddleX/Nonstationary/subgraph_10/weight_meta.py +++ b/paddle_samples/PaddleX/Nonstationary/subgraph_10/weight_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_parameter_0: name = "parameter_0" + original_name = "linear_1.w_0" shape = [4, 512] dtype = "float32" min_val = float("-0.516648") @@ -11,6 +12,7 @@ class Program_weight_tensor_parameter_0: class Program_weight_tensor_parameter_1: name = "parameter_1" + original_name = "conv1d_1.w_0" shape = [512, 1, 3] dtype = "float32" min_val = float("-2.48717") @@ -22,6 +24,7 @@ class Program_weight_tensor_parameter_1: class Program_weight_tensor_parameter_2: name = "parameter_2" + original_name = "layer_norm_4.b_0" shape = [512] dtype = "float32" min_val = float("-0.00299459") @@ -33,6 +36,7 @@ class Program_weight_tensor_parameter_2: class Program_weight_tensor_parameter_3: name = "parameter_3" + original_name = "layer_norm_4.w_0" shape = [512] dtype = "float32" min_val = float("0.990188") @@ -44,6 +48,7 @@ class Program_weight_tensor_parameter_3: class Program_weight_tensor_parameter_4: name = "parameter_4" + original_name = "layer_norm_3.b_0" shape = [512] dtype = "float32" min_val = float("-0.00234111") @@ -55,6 +60,7 @@ class Program_weight_tensor_parameter_4: class Program_weight_tensor_parameter_5: name = "parameter_5" + original_name = "layer_norm_3.w_0" shape = [512] dtype = "float32" min_val = float("0.992512") @@ -66,6 +72,7 @@ class Program_weight_tensor_parameter_5: class Program_weight_tensor_parameter_6: name = "parameter_6" + original_name = "conv1d_5.b_0" shape = [512] dtype = "float32" min_val = float("-0.0022546") @@ -77,6 +84,7 @@ class Program_weight_tensor_parameter_6: class Program_weight_tensor_parameter_7: name = "parameter_7" + original_name = "conv1d_5.w_0" shape = [512, 2048, 1] dtype = "float32" min_val = float("-0.142078") @@ -88,6 +96,7 @@ class Program_weight_tensor_parameter_7: class Program_weight_tensor_parameter_8: name = "parameter_8" + original_name = "conv1d_4.b_0" shape = [2048] dtype = "float32" min_val = float("-0.00586633") @@ -99,6 +108,7 @@ class Program_weight_tensor_parameter_8: class Program_weight_tensor_parameter_9: name = "parameter_9" + original_name = "conv1d_4.w_0" shape = [2048, 512, 1] dtype = "float32" min_val = float("-0.289242") @@ -110,6 +120,7 @@ class Program_weight_tensor_parameter_9: class Program_weight_tensor_parameter_10: name = "parameter_10" + original_name = "layer_norm_2.b_0" shape = [512] dtype = "float32" min_val = float("-0.00225662") @@ -121,6 +132,7 @@ class Program_weight_tensor_parameter_10: class Program_weight_tensor_parameter_11: name = "parameter_11" + original_name = "layer_norm_2.w_0" shape = [512] dtype = "float32" min_val = float("0.99061") @@ -132,6 +144,7 @@ class Program_weight_tensor_parameter_11: class Program_weight_tensor_parameter_12: name = "parameter_12" + original_name = "linear_9.b_0" shape = [512] dtype = "float32" min_val = float("-0.0435265") @@ -143,6 +156,7 @@ class Program_weight_tensor_parameter_12: class Program_weight_tensor_parameter_13: name = "parameter_13" + original_name = "linear_9.w_0" shape = [512, 512] dtype = "float32" min_val = float("-0.054725") @@ -154,6 +168,7 @@ class Program_weight_tensor_parameter_13: class Program_weight_tensor_parameter_14: name = "parameter_14" + original_name = "linear_8.b_0" shape = [512] dtype = "float32" min_val = float("-0.0448786") @@ -165,6 +180,7 @@ class Program_weight_tensor_parameter_14: class Program_weight_tensor_parameter_15: name = "parameter_15" + original_name = "linear_8.w_0" shape = [512, 512] dtype = "float32" min_val = float("-0.0552115") @@ -176,6 +192,7 @@ class Program_weight_tensor_parameter_15: class Program_weight_tensor_parameter_16: name = "parameter_16" + original_name = "linear_7.b_0" shape = [512] dtype = "float32" min_val = float("-0.0437686") @@ -187,6 +204,7 @@ class Program_weight_tensor_parameter_16: class Program_weight_tensor_parameter_17: name = "parameter_17" + original_name = "linear_7.w_0" shape = [512, 512] dtype = "float32" min_val = float("-0.0580188") @@ -198,6 +216,7 @@ class Program_weight_tensor_parameter_17: class Program_weight_tensor_parameter_18: name = "parameter_18" + original_name = "linear_6.b_0" shape = [512] dtype = "float32" min_val = float("-0.0439347") @@ -209,6 +228,7 @@ class Program_weight_tensor_parameter_18: class Program_weight_tensor_parameter_19: name = "parameter_19" + original_name = "linear_6.w_0" shape = [512, 512] dtype = "float32" min_val = float("-0.0580408") @@ -220,6 +240,7 @@ class Program_weight_tensor_parameter_19: class Program_weight_tensor_parameter_20: name = "parameter_20" + original_name = "layer_norm_1.b_0" shape = [512] dtype = "float32" min_val = float("-0.00212544") @@ -231,6 +252,7 @@ class Program_weight_tensor_parameter_20: class Program_weight_tensor_parameter_21: name = "parameter_21" + original_name = "layer_norm_1.w_0" shape = [512] dtype = "float32" min_val = float("0.989608") @@ -242,6 +264,7 @@ class Program_weight_tensor_parameter_21: class Program_weight_tensor_parameter_22: name = "parameter_22" + original_name = "conv1d_3.b_0" shape = [512] dtype = "float32" min_val = float("-0.00190863") @@ -253,6 +276,7 @@ class Program_weight_tensor_parameter_22: class Program_weight_tensor_parameter_23: name = "parameter_23" + original_name = "conv1d_3.w_0" shape = [512, 2048, 1] dtype = "float32" min_val = float("-0.159284") @@ -264,6 +288,7 @@ class Program_weight_tensor_parameter_23: class Program_weight_tensor_parameter_24: name = "parameter_24" + original_name = "conv1d_2.b_0" shape = [2048] dtype = "float32" min_val = float("-0.00493774") @@ -275,6 +300,7 @@ class Program_weight_tensor_parameter_24: class Program_weight_tensor_parameter_25: name = "parameter_25" + original_name = "conv1d_2.w_0" shape = [2048, 512, 1] dtype = "float32" min_val = float("-0.28545") @@ -286,6 +312,7 @@ class Program_weight_tensor_parameter_25: class Program_weight_tensor_parameter_26: name = "parameter_26" + original_name = "layer_norm_0.b_0" shape = [512] dtype = "float32" min_val = float("-0.00392048") @@ -297,6 +324,7 @@ class Program_weight_tensor_parameter_26: class Program_weight_tensor_parameter_27: name = "parameter_27" + original_name = "layer_norm_0.w_0" shape = [512] dtype = "float32" min_val = float("0.992844") @@ -308,6 +336,7 @@ class Program_weight_tensor_parameter_27: class Program_weight_tensor_parameter_28: name = "parameter_28" + original_name = "linear_5.b_0" shape = [512] dtype = "float32" min_val = float("-0.0453684") @@ -319,6 +348,7 @@ class Program_weight_tensor_parameter_28: class Program_weight_tensor_parameter_29: name = "parameter_29" + original_name = "linear_5.w_0" shape = [512, 512] dtype = "float32" min_val = float("-0.0537899") @@ -330,6 +360,7 @@ class Program_weight_tensor_parameter_29: class Program_weight_tensor_parameter_30: name = "parameter_30" + original_name = "linear_4.b_0" shape = [512] dtype = "float32" min_val = float("-0.0444344") @@ -341,6 +372,7 @@ class Program_weight_tensor_parameter_30: class Program_weight_tensor_parameter_31: name = "parameter_31" + original_name = "linear_4.w_0" shape = [512, 512] dtype = "float32" min_val = float("-0.0655739") @@ -352,6 +384,7 @@ class Program_weight_tensor_parameter_31: class Program_weight_tensor_parameter_32: name = "parameter_32" + original_name = "linear_3.b_0" shape = [512] dtype = "float32" min_val = float("-0.044085") @@ -363,6 +396,7 @@ class Program_weight_tensor_parameter_32: class Program_weight_tensor_parameter_33: name = "parameter_33" + original_name = "linear_3.w_0" shape = [512, 512] dtype = "float32" min_val = float("-0.0670256") @@ -374,6 +408,7 @@ class Program_weight_tensor_parameter_33: class Program_weight_tensor_parameter_34: name = "parameter_34" + original_name = "linear_2.b_0" shape = [512] dtype = "float32" min_val = float("-0.0448112") @@ -385,6 +420,7 @@ class Program_weight_tensor_parameter_34: class Program_weight_tensor_parameter_35: name = "parameter_35" + original_name = "linear_2.w_0" shape = [512, 512] dtype = "float32" min_val = float("-0.0651913") @@ -396,6 +432,7 @@ class Program_weight_tensor_parameter_35: class Program_weight_tensor_parameter_36: name = "parameter_36" + original_name = "linear_0.w_0" shape = [4, 512] dtype = "float32" min_val = float("-0.518061") @@ -407,6 +444,7 @@ class Program_weight_tensor_parameter_36: class Program_weight_tensor_parameter_37: name = "parameter_37" + original_name = "conv1d_0.w_0" shape = [512, 1, 3] dtype = "float32" min_val = float("-2.59087") @@ -418,6 +456,7 @@ class Program_weight_tensor_parameter_37: class Program_weight_tensor_parameter_38: name = "parameter_38" + original_name = "linear_24.w_0" shape = [256, 96] dtype = "float32" min_val = float("-0.0788252") @@ -429,6 +468,7 @@ class Program_weight_tensor_parameter_38: class Program_weight_tensor_parameter_39: name = "parameter_39" + original_name = "linear_23.b_0" shape = [256] dtype = "float32" min_val = float("-0.0644514") @@ -440,6 +480,7 @@ class Program_weight_tensor_parameter_39: class Program_weight_tensor_parameter_40: name = "parameter_40" + original_name = "linear_23.w_0" shape = [256, 256] dtype = "float32" min_val = float("-0.0735758") @@ -451,6 +492,7 @@ class Program_weight_tensor_parameter_40: class Program_weight_tensor_parameter_41: name = "parameter_41" + original_name = "linear_22.b_0" shape = [256] dtype = "float32" min_val = float("-0.705481") @@ -462,6 +504,7 @@ class Program_weight_tensor_parameter_41: class Program_weight_tensor_parameter_42: name = "parameter_42" + original_name = "linear_22.w_0" shape = [2, 256] dtype = "float32" min_val = float("-0.718397") @@ -473,6 +516,7 @@ class Program_weight_tensor_parameter_42: class Program_weight_tensor_parameter_43: name = "parameter_43" + original_name = "conv1d_9.w_0" shape = [1, 96, 3] dtype = "float32" min_val = float("-0.258786") @@ -484,6 +528,7 @@ class Program_weight_tensor_parameter_43: class Program_weight_tensor_parameter_44: name = "parameter_44" + original_name = "linear_21.w_0" shape = [256, 1] dtype = "float32" min_val = float("-0.0631182") @@ -495,6 +540,7 @@ class Program_weight_tensor_parameter_44: class Program_weight_tensor_parameter_45: name = "parameter_45" + original_name = "linear_20.b_0" shape = [256] dtype = "float32" min_val = float("-0.06438") @@ -506,6 +552,7 @@ class Program_weight_tensor_parameter_45: class Program_weight_tensor_parameter_46: name = "parameter_46" + original_name = "linear_20.w_0" shape = [256, 256] dtype = "float32" min_val = float("-0.0911308") @@ -517,6 +564,7 @@ class Program_weight_tensor_parameter_46: class Program_weight_tensor_parameter_47: name = "parameter_47" + original_name = "linear_19.b_0" shape = [256] dtype = "float32" min_val = float("-0.703553") @@ -528,6 +576,7 @@ class Program_weight_tensor_parameter_47: class Program_weight_tensor_parameter_48: name = "parameter_48" + original_name = "linear_19.w_0" shape = [2, 256] dtype = "float32" min_val = float("-0.712464") @@ -539,6 +588,7 @@ class Program_weight_tensor_parameter_48: class Program_weight_tensor_parameter_49: name = "parameter_49" + original_name = "conv1d_8.w_0" shape = [1, 96, 3] dtype = "float32" min_val = float("-0.24203") diff --git a/paddle_samples/PaddleX/Nonstationary/subgraph_11/input_meta.py b/paddle_samples/PaddleX/Nonstationary/subgraph_11/input_meta.py index edda1e815..094596b48 100644 --- a/paddle_samples/PaddleX/Nonstationary/subgraph_11/input_meta.py +++ b/paddle_samples/PaddleX/Nonstationary/subgraph_11/input_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_data_0: name = "data_0" + original_name = "args_0" shape = [] dtype = "int64" data = [16] @@ -7,6 +8,7 @@ class Program_weight_tensor_data_0: class Program_weight_tensor_data_1: name = "data_1" + original_name = "var_734" shape = [16, 96, 1] dtype = "float32" min_val = float("-2.06142") @@ -18,6 +20,7 @@ class Program_weight_tensor_data_1: class Program_weight_tensor_data_2: name = "data_2" + original_name = "var_735" shape = [16, 192, 4] dtype = "float32" min_val = float("-0.5") @@ -29,6 +32,7 @@ class Program_weight_tensor_data_2: class Program_weight_tensor_data_3: name = "data_3" + original_name = "var_780" shape = [1, 5000, 512] dtype = "float32" min_val = float("-1.0") @@ -40,6 +44,7 @@ class Program_weight_tensor_data_3: class Program_weight_tensor_data_4: name = "data_4" + original_name = "var_874" shape = [1, 5000, 512] dtype = "float32" min_val = float("-1.0") diff --git a/paddle_samples/PaddleX/Nonstationary/subgraph_11/weight_meta.py b/paddle_samples/PaddleX/Nonstationary/subgraph_11/weight_meta.py index 9606078a4..71583f450 100644 --- a/paddle_samples/PaddleX/Nonstationary/subgraph_11/weight_meta.py +++ b/paddle_samples/PaddleX/Nonstationary/subgraph_11/weight_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_parameter_0: name = "parameter_0" + original_name = "linear_1.w_0" shape = [4, 512] dtype = "float32" min_val = float("-0.516677") @@ -11,6 +12,7 @@ class Program_weight_tensor_parameter_0: class Program_weight_tensor_parameter_1: name = "parameter_1" + original_name = "conv1d_1.w_0" shape = [512, 1, 3] dtype = "float32" min_val = float("-2.48719") @@ -22,6 +24,7 @@ class Program_weight_tensor_parameter_1: class Program_weight_tensor_parameter_2: name = "parameter_2" + original_name = "layer_norm_4.b_0" shape = [512] dtype = "float32" min_val = float("-0.00305979") @@ -33,6 +36,7 @@ class Program_weight_tensor_parameter_2: class Program_weight_tensor_parameter_3: name = "parameter_3" + original_name = "layer_norm_4.w_0" shape = [512] dtype = "float32" min_val = float("0.990193") @@ -44,6 +48,7 @@ class Program_weight_tensor_parameter_3: class Program_weight_tensor_parameter_4: name = "parameter_4" + original_name = "layer_norm_3.b_0" shape = [512] dtype = "float32" min_val = float("-0.00235936") @@ -55,6 +60,7 @@ class Program_weight_tensor_parameter_4: class Program_weight_tensor_parameter_5: name = "parameter_5" + original_name = "layer_norm_3.w_0" shape = [512] dtype = "float32" min_val = float("0.992481") @@ -66,6 +72,7 @@ class Program_weight_tensor_parameter_5: class Program_weight_tensor_parameter_6: name = "parameter_6" + original_name = "conv1d_5.b_0" shape = [512] dtype = "float32" min_val = float("-0.00227089") @@ -77,6 +84,7 @@ class Program_weight_tensor_parameter_6: class Program_weight_tensor_parameter_7: name = "parameter_7" + original_name = "conv1d_5.w_0" shape = [512, 2048, 1] dtype = "float32" min_val = float("-0.142082") @@ -88,6 +96,7 @@ class Program_weight_tensor_parameter_7: class Program_weight_tensor_parameter_8: name = "parameter_8" + original_name = "conv1d_4.b_0" shape = [2048] dtype = "float32" min_val = float("-0.00589507") @@ -99,6 +108,7 @@ class Program_weight_tensor_parameter_8: class Program_weight_tensor_parameter_9: name = "parameter_9" + original_name = "conv1d_4.w_0" shape = [2048, 512, 1] dtype = "float32" min_val = float("-0.28923") @@ -110,6 +120,7 @@ class Program_weight_tensor_parameter_9: class Program_weight_tensor_parameter_10: name = "parameter_10" + original_name = "layer_norm_2.b_0" shape = [512] dtype = "float32" min_val = float("-0.00228257") @@ -121,6 +132,7 @@ class Program_weight_tensor_parameter_10: class Program_weight_tensor_parameter_11: name = "parameter_11" + original_name = "layer_norm_2.w_0" shape = [512] dtype = "float32" min_val = float("0.99054") @@ -132,6 +144,7 @@ class Program_weight_tensor_parameter_11: class Program_weight_tensor_parameter_12: name = "parameter_12" + original_name = "linear_9.b_0" shape = [512] dtype = "float32" min_val = float("-0.0434872") @@ -143,6 +156,7 @@ class Program_weight_tensor_parameter_12: class Program_weight_tensor_parameter_13: name = "parameter_13" + original_name = "linear_9.w_0" shape = [512, 512] dtype = "float32" min_val = float("-0.0547241") @@ -154,6 +168,7 @@ class Program_weight_tensor_parameter_13: class Program_weight_tensor_parameter_14: name = "parameter_14" + original_name = "linear_8.b_0" shape = [512] dtype = "float32" min_val = float("-0.0448612") @@ -165,6 +180,7 @@ class Program_weight_tensor_parameter_14: class Program_weight_tensor_parameter_15: name = "parameter_15" + original_name = "linear_8.w_0" shape = [512, 512] dtype = "float32" min_val = float("-0.055098") @@ -176,6 +192,7 @@ class Program_weight_tensor_parameter_15: class Program_weight_tensor_parameter_16: name = "parameter_16" + original_name = "linear_7.b_0" shape = [512] dtype = "float32" min_val = float("-0.0437686") @@ -187,6 +204,7 @@ class Program_weight_tensor_parameter_16: class Program_weight_tensor_parameter_17: name = "parameter_17" + original_name = "linear_7.w_0" shape = [512, 512] dtype = "float32" min_val = float("-0.0580123") @@ -198,6 +216,7 @@ class Program_weight_tensor_parameter_17: class Program_weight_tensor_parameter_18: name = "parameter_18" + original_name = "linear_6.b_0" shape = [512] dtype = "float32" min_val = float("-0.0438837") @@ -209,6 +228,7 @@ class Program_weight_tensor_parameter_18: class Program_weight_tensor_parameter_19: name = "parameter_19" + original_name = "linear_6.w_0" shape = [512, 512] dtype = "float32" min_val = float("-0.0580541") @@ -220,6 +240,7 @@ class Program_weight_tensor_parameter_19: class Program_weight_tensor_parameter_20: name = "parameter_20" + original_name = "layer_norm_1.b_0" shape = [512] dtype = "float32" min_val = float("-0.00218964") @@ -231,6 +252,7 @@ class Program_weight_tensor_parameter_20: class Program_weight_tensor_parameter_21: name = "parameter_21" + original_name = "layer_norm_1.w_0" shape = [512] dtype = "float32" min_val = float("0.98961") @@ -242,6 +264,7 @@ class Program_weight_tensor_parameter_21: class Program_weight_tensor_parameter_22: name = "parameter_22" + original_name = "conv1d_3.b_0" shape = [512] dtype = "float32" min_val = float("-0.0019689") @@ -253,6 +276,7 @@ class Program_weight_tensor_parameter_22: class Program_weight_tensor_parameter_23: name = "parameter_23" + original_name = "conv1d_3.w_0" shape = [512, 2048, 1] dtype = "float32" min_val = float("-0.159276") @@ -264,6 +288,7 @@ class Program_weight_tensor_parameter_23: class Program_weight_tensor_parameter_24: name = "parameter_24" + original_name = "conv1d_2.b_0" shape = [2048] dtype = "float32" min_val = float("-0.00498069") @@ -275,6 +300,7 @@ class Program_weight_tensor_parameter_24: class Program_weight_tensor_parameter_25: name = "parameter_25" + original_name = "conv1d_2.w_0" shape = [2048, 512, 1] dtype = "float32" min_val = float("-0.285435") @@ -286,6 +312,7 @@ class Program_weight_tensor_parameter_25: class Program_weight_tensor_parameter_26: name = "parameter_26" + original_name = "layer_norm_0.b_0" shape = [512] dtype = "float32" min_val = float("-0.00395776") @@ -297,6 +324,7 @@ class Program_weight_tensor_parameter_26: class Program_weight_tensor_parameter_27: name = "parameter_27" + original_name = "layer_norm_0.w_0" shape = [512] dtype = "float32" min_val = float("0.992855") @@ -308,6 +336,7 @@ class Program_weight_tensor_parameter_27: class Program_weight_tensor_parameter_28: name = "parameter_28" + original_name = "linear_5.b_0" shape = [512] dtype = "float32" min_val = float("-0.0454154") @@ -319,6 +348,7 @@ class Program_weight_tensor_parameter_28: class Program_weight_tensor_parameter_29: name = "parameter_29" + original_name = "linear_5.w_0" shape = [512, 512] dtype = "float32" min_val = float("-0.0537288") @@ -330,6 +360,7 @@ class Program_weight_tensor_parameter_29: class Program_weight_tensor_parameter_30: name = "parameter_30" + original_name = "linear_4.b_0" shape = [512] dtype = "float32" min_val = float("-0.0444457") @@ -341,6 +372,7 @@ class Program_weight_tensor_parameter_30: class Program_weight_tensor_parameter_31: name = "parameter_31" + original_name = "linear_4.w_0" shape = [512, 512] dtype = "float32" min_val = float("-0.065649") @@ -352,6 +384,7 @@ class Program_weight_tensor_parameter_31: class Program_weight_tensor_parameter_32: name = "parameter_32" + original_name = "linear_3.b_0" shape = [512] dtype = "float32" min_val = float("-0.044085") @@ -363,6 +396,7 @@ class Program_weight_tensor_parameter_32: class Program_weight_tensor_parameter_33: name = "parameter_33" + original_name = "linear_3.w_0" shape = [512, 512] dtype = "float32" min_val = float("-0.0670579") @@ -374,6 +408,7 @@ class Program_weight_tensor_parameter_33: class Program_weight_tensor_parameter_34: name = "parameter_34" + original_name = "linear_2.b_0" shape = [512] dtype = "float32" min_val = float("-0.0448819") @@ -385,6 +420,7 @@ class Program_weight_tensor_parameter_34: class Program_weight_tensor_parameter_35: name = "parameter_35" + original_name = "linear_2.w_0" shape = [512, 512] dtype = "float32" min_val = float("-0.065153") @@ -396,6 +432,7 @@ class Program_weight_tensor_parameter_35: class Program_weight_tensor_parameter_36: name = "parameter_36" + original_name = "linear_0.w_0" shape = [4, 512] dtype = "float32" min_val = float("-0.518066") @@ -407,6 +444,7 @@ class Program_weight_tensor_parameter_36: class Program_weight_tensor_parameter_37: name = "parameter_37" + original_name = "conv1d_0.w_0" shape = [512, 1, 3] dtype = "float32" min_val = float("-2.59084") @@ -418,6 +456,7 @@ class Program_weight_tensor_parameter_37: class Program_weight_tensor_parameter_38: name = "parameter_38" + original_name = "linear_24.w_0" shape = [256, 96] dtype = "float32" min_val = float("-0.0789143") @@ -429,6 +468,7 @@ class Program_weight_tensor_parameter_38: class Program_weight_tensor_parameter_39: name = "parameter_39" + original_name = "linear_23.b_0" shape = [256] dtype = "float32" min_val = float("-0.0644954") @@ -440,6 +480,7 @@ class Program_weight_tensor_parameter_39: class Program_weight_tensor_parameter_40: name = "parameter_40" + original_name = "linear_23.w_0" shape = [256, 256] dtype = "float32" min_val = float("-0.0736171") @@ -451,6 +492,7 @@ class Program_weight_tensor_parameter_40: class Program_weight_tensor_parameter_41: name = "parameter_41" + original_name = "linear_22.b_0" shape = [256] dtype = "float32" min_val = float("-0.705511") @@ -462,6 +504,7 @@ class Program_weight_tensor_parameter_41: class Program_weight_tensor_parameter_42: name = "parameter_42" + original_name = "linear_22.w_0" shape = [2, 256] dtype = "float32" min_val = float("-0.718449") @@ -473,6 +516,7 @@ class Program_weight_tensor_parameter_42: class Program_weight_tensor_parameter_43: name = "parameter_43" + original_name = "conv1d_9.w_0" shape = [1, 96, 3] dtype = "float32" min_val = float("-0.258775") @@ -484,6 +528,7 @@ class Program_weight_tensor_parameter_43: class Program_weight_tensor_parameter_44: name = "parameter_44" + original_name = "linear_21.w_0" shape = [256, 1] dtype = "float32" min_val = float("-0.0631358") @@ -495,6 +540,7 @@ class Program_weight_tensor_parameter_44: class Program_weight_tensor_parameter_45: name = "parameter_45" + original_name = "linear_20.b_0" shape = [256] dtype = "float32" min_val = float("-0.06438") @@ -506,6 +552,7 @@ class Program_weight_tensor_parameter_45: class Program_weight_tensor_parameter_46: name = "parameter_46" + original_name = "linear_20.w_0" shape = [256, 256] dtype = "float32" min_val = float("-0.0911485") @@ -517,6 +564,7 @@ class Program_weight_tensor_parameter_46: class Program_weight_tensor_parameter_47: name = "parameter_47" + original_name = "linear_19.b_0" shape = [256] dtype = "float32" min_val = float("-0.703553") @@ -528,6 +576,7 @@ class Program_weight_tensor_parameter_47: class Program_weight_tensor_parameter_48: name = "parameter_48" + original_name = "linear_19.w_0" shape = [2, 256] dtype = "float32" min_val = float("-0.712457") @@ -539,6 +588,7 @@ class Program_weight_tensor_parameter_48: class Program_weight_tensor_parameter_49: name = "parameter_49" + original_name = "conv1d_8.w_0" shape = [1, 96, 3] dtype = "float32" min_val = float("-0.242026") diff --git a/paddle_samples/PaddleX/Nonstationary_ad/subgraph_0/input_meta.py b/paddle_samples/PaddleX/Nonstationary_ad/subgraph_0/input_meta.py index 050300a83..5ae0432cf 100644 --- a/paddle_samples/PaddleX/Nonstationary_ad/subgraph_0/input_meta.py +++ b/paddle_samples/PaddleX/Nonstationary_ad/subgraph_0/input_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_data_0: name = "data_0" + original_name = "var_231" shape = [16, 96, 2] dtype = "float32" min_val = float("-6.37408") @@ -11,6 +12,7 @@ class Program_weight_tensor_data_0: class Program_weight_tensor_data_1: name = "data_1" + original_name = "var_265" shape = [1, 5000, 64] dtype = "float32" min_val = float("-1.0") diff --git a/paddle_samples/PaddleX/Nonstationary_ad/subgraph_0/weight_meta.py b/paddle_samples/PaddleX/Nonstationary_ad/subgraph_0/weight_meta.py index 9cb9244fc..3e2f8e46b 100644 --- a/paddle_samples/PaddleX/Nonstationary_ad/subgraph_0/weight_meta.py +++ b/paddle_samples/PaddleX/Nonstationary_ad/subgraph_0/weight_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_parameter_0: name = "parameter_0" + original_name = "linear_15.b_0" shape = [2] dtype = "float32" min_val = float("0") @@ -9,6 +10,7 @@ class Program_weight_tensor_parameter_0: class Program_weight_tensor_parameter_1: name = "parameter_1" + original_name = "linear_15.w_0" shape = [64, 2] dtype = "float32" min_val = float("-0.141455") @@ -20,6 +22,7 @@ class Program_weight_tensor_parameter_1: class Program_weight_tensor_parameter_2: name = "parameter_2" + original_name = "layer_norm_4.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -29,6 +32,7 @@ class Program_weight_tensor_parameter_2: class Program_weight_tensor_parameter_3: name = "parameter_3" + original_name = "layer_norm_4.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -38,6 +42,7 @@ class Program_weight_tensor_parameter_3: class Program_weight_tensor_parameter_4: name = "parameter_4" + original_name = "layer_norm_3.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -47,6 +52,7 @@ class Program_weight_tensor_parameter_4: class Program_weight_tensor_parameter_5: name = "parameter_5" + original_name = "layer_norm_3.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -56,6 +62,7 @@ class Program_weight_tensor_parameter_5: class Program_weight_tensor_parameter_6: name = "parameter_6" + original_name = "conv1d_4.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -65,6 +72,7 @@ class Program_weight_tensor_parameter_6: class Program_weight_tensor_parameter_7: name = "parameter_7" + original_name = "conv1d_4.w_0" shape = [64, 64, 1] dtype = "float32" min_val = float("-0.633601") @@ -76,6 +84,7 @@ class Program_weight_tensor_parameter_7: class Program_weight_tensor_parameter_8: name = "parameter_8" + original_name = "conv1d_3.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -85,6 +94,7 @@ class Program_weight_tensor_parameter_8: class Program_weight_tensor_parameter_9: name = "parameter_9" + original_name = "conv1d_3.w_0" shape = [64, 64, 1] dtype = "float32" min_val = float("-0.647119") @@ -96,6 +106,7 @@ class Program_weight_tensor_parameter_9: class Program_weight_tensor_parameter_10: name = "parameter_10" + original_name = "layer_norm_2.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -105,6 +116,7 @@ class Program_weight_tensor_parameter_10: class Program_weight_tensor_parameter_11: name = "parameter_11" + original_name = "layer_norm_2.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -114,6 +126,7 @@ class Program_weight_tensor_parameter_11: class Program_weight_tensor_parameter_12: name = "parameter_12" + original_name = "linear_8.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -123,6 +136,7 @@ class Program_weight_tensor_parameter_12: class Program_weight_tensor_parameter_13: name = "parameter_13" + original_name = "linear_8.w_0" shape = [64, 64] dtype = "float32" min_val = float("-0.210044") @@ -134,6 +148,7 @@ class Program_weight_tensor_parameter_13: class Program_weight_tensor_parameter_14: name = "parameter_14" + original_name = "linear_7.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -143,6 +158,7 @@ class Program_weight_tensor_parameter_14: class Program_weight_tensor_parameter_15: name = "parameter_15" + original_name = "linear_7.w_0" shape = [64, 64] dtype = "float32" min_val = float("-0.255086") @@ -154,6 +170,7 @@ class Program_weight_tensor_parameter_15: class Program_weight_tensor_parameter_16: name = "parameter_16" + original_name = "linear_6.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -163,6 +180,7 @@ class Program_weight_tensor_parameter_16: class Program_weight_tensor_parameter_17: name = "parameter_17" + original_name = "linear_6.w_0" shape = [64, 64] dtype = "float32" min_val = float("-0.375404") @@ -174,6 +192,7 @@ class Program_weight_tensor_parameter_17: class Program_weight_tensor_parameter_18: name = "parameter_18" + original_name = "linear_5.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -183,6 +202,7 @@ class Program_weight_tensor_parameter_18: class Program_weight_tensor_parameter_19: name = "parameter_19" + original_name = "linear_5.w_0" shape = [64, 64] dtype = "float32" min_val = float("-0.271836") @@ -194,6 +214,7 @@ class Program_weight_tensor_parameter_19: class Program_weight_tensor_parameter_20: name = "parameter_20" + original_name = "layer_norm_1.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -203,6 +224,7 @@ class Program_weight_tensor_parameter_20: class Program_weight_tensor_parameter_21: name = "parameter_21" + original_name = "layer_norm_1.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -212,6 +234,7 @@ class Program_weight_tensor_parameter_21: class Program_weight_tensor_parameter_22: name = "parameter_22" + original_name = "conv1d_2.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -221,6 +244,7 @@ class Program_weight_tensor_parameter_22: class Program_weight_tensor_parameter_23: name = "parameter_23" + original_name = "conv1d_2.w_0" shape = [64, 64, 1] dtype = "float32" min_val = float("-0.626788") @@ -232,6 +256,7 @@ class Program_weight_tensor_parameter_23: class Program_weight_tensor_parameter_24: name = "parameter_24" + original_name = "conv1d_1.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -241,6 +266,7 @@ class Program_weight_tensor_parameter_24: class Program_weight_tensor_parameter_25: name = "parameter_25" + original_name = "conv1d_1.w_0" shape = [64, 64, 1] dtype = "float32" min_val = float("-0.657247") @@ -252,6 +278,7 @@ class Program_weight_tensor_parameter_25: class Program_weight_tensor_parameter_26: name = "parameter_26" + original_name = "layer_norm_0.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -261,6 +288,7 @@ class Program_weight_tensor_parameter_26: class Program_weight_tensor_parameter_27: name = "parameter_27" + original_name = "layer_norm_0.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -270,6 +298,7 @@ class Program_weight_tensor_parameter_27: class Program_weight_tensor_parameter_28: name = "parameter_28" + original_name = "linear_4.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -279,6 +308,7 @@ class Program_weight_tensor_parameter_28: class Program_weight_tensor_parameter_29: name = "parameter_29" + original_name = "linear_4.w_0" shape = [64, 64] dtype = "float32" min_val = float("-0.217793") @@ -290,6 +320,7 @@ class Program_weight_tensor_parameter_29: class Program_weight_tensor_parameter_30: name = "parameter_30" + original_name = "linear_3.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -299,6 +330,7 @@ class Program_weight_tensor_parameter_30: class Program_weight_tensor_parameter_31: name = "parameter_31" + original_name = "linear_3.w_0" shape = [64, 64] dtype = "float32" min_val = float("-0.233407") @@ -310,6 +342,7 @@ class Program_weight_tensor_parameter_31: class Program_weight_tensor_parameter_32: name = "parameter_32" + original_name = "linear_2.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -319,6 +352,7 @@ class Program_weight_tensor_parameter_32: class Program_weight_tensor_parameter_33: name = "parameter_33" + original_name = "linear_2.w_0" shape = [64, 64] dtype = "float32" min_val = float("-0.342534") @@ -330,6 +364,7 @@ class Program_weight_tensor_parameter_33: class Program_weight_tensor_parameter_34: name = "parameter_34" + original_name = "linear_1.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -339,6 +374,7 @@ class Program_weight_tensor_parameter_34: class Program_weight_tensor_parameter_35: name = "parameter_35" + original_name = "linear_1.w_0" shape = [64, 64] dtype = "float32" min_val = float("-0.396937") @@ -350,6 +386,7 @@ class Program_weight_tensor_parameter_35: class Program_weight_tensor_parameter_36: name = "parameter_36" + original_name = "conv1d_0.w_0" shape = [64, 2, 3] dtype = "float32" min_val = float("-1.50755") @@ -361,6 +398,7 @@ class Program_weight_tensor_parameter_36: class Program_weight_tensor_parameter_37: name = "parameter_37" + original_name = "linear_14.w_0" shape = [32, 96] dtype = "float32" min_val = float("-0.285764") @@ -372,6 +410,7 @@ class Program_weight_tensor_parameter_37: class Program_weight_tensor_parameter_38: name = "parameter_38" + original_name = "linear_13.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -381,6 +420,7 @@ class Program_weight_tensor_parameter_38: class Program_weight_tensor_parameter_39: name = "parameter_39" + original_name = "linear_13.w_0" shape = [32, 32] dtype = "float32" min_val = float("-0.228148") @@ -392,6 +432,7 @@ class Program_weight_tensor_parameter_39: class Program_weight_tensor_parameter_40: name = "parameter_40" + original_name = "linear_12.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -401,6 +442,7 @@ class Program_weight_tensor_parameter_40: class Program_weight_tensor_parameter_41: name = "parameter_41" + original_name = "linear_12.w_0" shape = [4, 32] dtype = "float32" min_val = float("-0.522794") @@ -412,6 +454,7 @@ class Program_weight_tensor_parameter_41: class Program_weight_tensor_parameter_42: name = "parameter_42" + original_name = "conv1d_6.w_0" shape = [1, 96, 3] dtype = "float32" min_val = float("-0.260908") @@ -423,6 +466,7 @@ class Program_weight_tensor_parameter_42: class Program_weight_tensor_parameter_43: name = "parameter_43" + original_name = "linear_11.w_0" shape = [32, 1] dtype = "float32" min_val = float("0") @@ -432,6 +476,7 @@ class Program_weight_tensor_parameter_43: class Program_weight_tensor_parameter_44: name = "parameter_44" + original_name = "linear_10.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -441,6 +486,7 @@ class Program_weight_tensor_parameter_44: class Program_weight_tensor_parameter_45: name = "parameter_45" + original_name = "linear_10.w_0" shape = [32, 32] dtype = "float32" min_val = float("-0.301475") @@ -452,6 +498,7 @@ class Program_weight_tensor_parameter_45: class Program_weight_tensor_parameter_46: name = "parameter_46" + original_name = "linear_9.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -461,6 +508,7 @@ class Program_weight_tensor_parameter_46: class Program_weight_tensor_parameter_47: name = "parameter_47" + original_name = "linear_9.w_0" shape = [4, 32] dtype = "float32" min_val = float("-0.46337") @@ -472,6 +520,7 @@ class Program_weight_tensor_parameter_47: class Program_weight_tensor_parameter_48: name = "parameter_48" + original_name = "conv1d_5.w_0" shape = [1, 96, 3] dtype = "float32" min_val = float("-0.199972") diff --git a/paddle_samples/PaddleX/Nonstationary_ad/subgraph_1/input_meta.py b/paddle_samples/PaddleX/Nonstationary_ad/subgraph_1/input_meta.py index 4b2608f65..7e36a2a4b 100644 --- a/paddle_samples/PaddleX/Nonstationary_ad/subgraph_1/input_meta.py +++ b/paddle_samples/PaddleX/Nonstationary_ad/subgraph_1/input_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_data_0: name = "data_0" + original_name = "var_103" shape = [2, 96, 2] dtype = "float32" min_val = float("-1.15597") @@ -11,6 +12,7 @@ class Program_weight_tensor_data_0: class Program_weight_tensor_data_1: name = "data_1" + original_name = "var_137" shape = [1, 5000, 64] dtype = "float32" min_val = float("-1.0") diff --git a/paddle_samples/PaddleX/Nonstationary_ad/subgraph_1/weight_meta.py b/paddle_samples/PaddleX/Nonstationary_ad/subgraph_1/weight_meta.py index 11b81a2b4..3739ff2c8 100644 --- a/paddle_samples/PaddleX/Nonstationary_ad/subgraph_1/weight_meta.py +++ b/paddle_samples/PaddleX/Nonstationary_ad/subgraph_1/weight_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_parameter_0: name = "parameter_0" + original_name = "linear_15.b_0" shape = [2] dtype = "float32" min_val = float("0") @@ -9,6 +10,7 @@ class Program_weight_tensor_parameter_0: class Program_weight_tensor_parameter_1: name = "parameter_1" + original_name = "linear_15.w_0" shape = [64, 2] dtype = "float32" min_val = float("-0.141457") @@ -20,6 +22,7 @@ class Program_weight_tensor_parameter_1: class Program_weight_tensor_parameter_2: name = "parameter_2" + original_name = "layer_norm_4.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -29,6 +32,7 @@ class Program_weight_tensor_parameter_2: class Program_weight_tensor_parameter_3: name = "parameter_3" + original_name = "layer_norm_4.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -38,6 +42,7 @@ class Program_weight_tensor_parameter_3: class Program_weight_tensor_parameter_4: name = "parameter_4" + original_name = "layer_norm_3.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -47,6 +52,7 @@ class Program_weight_tensor_parameter_4: class Program_weight_tensor_parameter_5: name = "parameter_5" + original_name = "layer_norm_3.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -56,6 +62,7 @@ class Program_weight_tensor_parameter_5: class Program_weight_tensor_parameter_6: name = "parameter_6" + original_name = "conv1d_4.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -65,6 +72,7 @@ class Program_weight_tensor_parameter_6: class Program_weight_tensor_parameter_7: name = "parameter_7" + original_name = "conv1d_4.w_0" shape = [64, 64, 1] dtype = "float32" min_val = float("-0.633632") @@ -76,6 +84,7 @@ class Program_weight_tensor_parameter_7: class Program_weight_tensor_parameter_8: name = "parameter_8" + original_name = "conv1d_3.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -85,6 +94,7 @@ class Program_weight_tensor_parameter_8: class Program_weight_tensor_parameter_9: name = "parameter_9" + original_name = "conv1d_3.w_0" shape = [64, 64, 1] dtype = "float32" min_val = float("-0.647121") @@ -96,6 +106,7 @@ class Program_weight_tensor_parameter_9: class Program_weight_tensor_parameter_10: name = "parameter_10" + original_name = "layer_norm_2.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -105,6 +116,7 @@ class Program_weight_tensor_parameter_10: class Program_weight_tensor_parameter_11: name = "parameter_11" + original_name = "layer_norm_2.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -114,6 +126,7 @@ class Program_weight_tensor_parameter_11: class Program_weight_tensor_parameter_12: name = "parameter_12" + original_name = "linear_8.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -123,6 +136,7 @@ class Program_weight_tensor_parameter_12: class Program_weight_tensor_parameter_13: name = "parameter_13" + original_name = "linear_8.w_0" shape = [64, 64] dtype = "float32" min_val = float("-0.210024") @@ -134,6 +148,7 @@ class Program_weight_tensor_parameter_13: class Program_weight_tensor_parameter_14: name = "parameter_14" + original_name = "linear_7.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -143,6 +158,7 @@ class Program_weight_tensor_parameter_14: class Program_weight_tensor_parameter_15: name = "parameter_15" + original_name = "linear_7.w_0" shape = [64, 64] dtype = "float32" min_val = float("-0.255079") @@ -154,6 +170,7 @@ class Program_weight_tensor_parameter_15: class Program_weight_tensor_parameter_16: name = "parameter_16" + original_name = "linear_6.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -163,6 +180,7 @@ class Program_weight_tensor_parameter_16: class Program_weight_tensor_parameter_17: name = "parameter_17" + original_name = "linear_6.w_0" shape = [64, 64] dtype = "float32" min_val = float("-0.375351") @@ -174,6 +192,7 @@ class Program_weight_tensor_parameter_17: class Program_weight_tensor_parameter_18: name = "parameter_18" + original_name = "linear_5.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -183,6 +202,7 @@ class Program_weight_tensor_parameter_18: class Program_weight_tensor_parameter_19: name = "parameter_19" + original_name = "linear_5.w_0" shape = [64, 64] dtype = "float32" min_val = float("-0.271848") @@ -194,6 +214,7 @@ class Program_weight_tensor_parameter_19: class Program_weight_tensor_parameter_20: name = "parameter_20" + original_name = "layer_norm_1.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -203,6 +224,7 @@ class Program_weight_tensor_parameter_20: class Program_weight_tensor_parameter_21: name = "parameter_21" + original_name = "layer_norm_1.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -212,6 +234,7 @@ class Program_weight_tensor_parameter_21: class Program_weight_tensor_parameter_22: name = "parameter_22" + original_name = "conv1d_2.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -221,6 +244,7 @@ class Program_weight_tensor_parameter_22: class Program_weight_tensor_parameter_23: name = "parameter_23" + original_name = "conv1d_2.w_0" shape = [64, 64, 1] dtype = "float32" min_val = float("-0.626838") @@ -232,6 +256,7 @@ class Program_weight_tensor_parameter_23: class Program_weight_tensor_parameter_24: name = "parameter_24" + original_name = "conv1d_1.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -241,6 +266,7 @@ class Program_weight_tensor_parameter_24: class Program_weight_tensor_parameter_25: name = "parameter_25" + original_name = "conv1d_1.w_0" shape = [64, 64, 1] dtype = "float32" min_val = float("-0.657079") @@ -252,6 +278,7 @@ class Program_weight_tensor_parameter_25: class Program_weight_tensor_parameter_26: name = "parameter_26" + original_name = "layer_norm_0.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -261,6 +288,7 @@ class Program_weight_tensor_parameter_26: class Program_weight_tensor_parameter_27: name = "parameter_27" + original_name = "layer_norm_0.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -270,6 +298,7 @@ class Program_weight_tensor_parameter_27: class Program_weight_tensor_parameter_28: name = "parameter_28" + original_name = "linear_4.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -279,6 +308,7 @@ class Program_weight_tensor_parameter_28: class Program_weight_tensor_parameter_29: name = "parameter_29" + original_name = "linear_4.w_0" shape = [64, 64] dtype = "float32" min_val = float("-0.21783") @@ -290,6 +320,7 @@ class Program_weight_tensor_parameter_29: class Program_weight_tensor_parameter_30: name = "parameter_30" + original_name = "linear_3.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -299,6 +330,7 @@ class Program_weight_tensor_parameter_30: class Program_weight_tensor_parameter_31: name = "parameter_31" + original_name = "linear_3.w_0" shape = [64, 64] dtype = "float32" min_val = float("-0.233227") @@ -310,6 +342,7 @@ class Program_weight_tensor_parameter_31: class Program_weight_tensor_parameter_32: name = "parameter_32" + original_name = "linear_2.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -319,6 +352,7 @@ class Program_weight_tensor_parameter_32: class Program_weight_tensor_parameter_33: name = "parameter_33" + original_name = "linear_2.w_0" shape = [64, 64] dtype = "float32" min_val = float("-0.342549") @@ -330,6 +364,7 @@ class Program_weight_tensor_parameter_33: class Program_weight_tensor_parameter_34: name = "parameter_34" + original_name = "linear_1.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -339,6 +374,7 @@ class Program_weight_tensor_parameter_34: class Program_weight_tensor_parameter_35: name = "parameter_35" + original_name = "linear_1.w_0" shape = [64, 64] dtype = "float32" min_val = float("-0.396718") @@ -350,6 +386,7 @@ class Program_weight_tensor_parameter_35: class Program_weight_tensor_parameter_36: name = "parameter_36" + original_name = "conv1d_0.w_0" shape = [64, 2, 3] dtype = "float32" min_val = float("-1.50754") @@ -361,6 +398,7 @@ class Program_weight_tensor_parameter_36: class Program_weight_tensor_parameter_37: name = "parameter_37" + original_name = "linear_14.w_0" shape = [32, 96] dtype = "float32" min_val = float("-0.285754") @@ -372,6 +410,7 @@ class Program_weight_tensor_parameter_37: class Program_weight_tensor_parameter_38: name = "parameter_38" + original_name = "linear_13.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -381,6 +420,7 @@ class Program_weight_tensor_parameter_38: class Program_weight_tensor_parameter_39: name = "parameter_39" + original_name = "linear_13.w_0" shape = [32, 32] dtype = "float32" min_val = float("-0.22818") @@ -392,6 +432,7 @@ class Program_weight_tensor_parameter_39: class Program_weight_tensor_parameter_40: name = "parameter_40" + original_name = "linear_12.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -401,6 +442,7 @@ class Program_weight_tensor_parameter_40: class Program_weight_tensor_parameter_41: name = "parameter_41" + original_name = "linear_12.w_0" shape = [4, 32] dtype = "float32" min_val = float("-0.522756") @@ -412,6 +454,7 @@ class Program_weight_tensor_parameter_41: class Program_weight_tensor_parameter_42: name = "parameter_42" + original_name = "conv1d_6.w_0" shape = [1, 96, 3] dtype = "float32" min_val = float("-0.260799") @@ -423,6 +466,7 @@ class Program_weight_tensor_parameter_42: class Program_weight_tensor_parameter_43: name = "parameter_43" + original_name = "linear_11.w_0" shape = [32, 1] dtype = "float32" min_val = float("0") @@ -432,6 +476,7 @@ class Program_weight_tensor_parameter_43: class Program_weight_tensor_parameter_44: name = "parameter_44" + original_name = "linear_10.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -441,6 +486,7 @@ class Program_weight_tensor_parameter_44: class Program_weight_tensor_parameter_45: name = "parameter_45" + original_name = "linear_10.w_0" shape = [32, 32] dtype = "float32" min_val = float("-0.301475") @@ -452,6 +498,7 @@ class Program_weight_tensor_parameter_45: class Program_weight_tensor_parameter_46: name = "parameter_46" + original_name = "linear_9.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -461,6 +508,7 @@ class Program_weight_tensor_parameter_46: class Program_weight_tensor_parameter_47: name = "parameter_47" + original_name = "linear_9.w_0" shape = [4, 32] dtype = "float32" min_val = float("-0.463346") @@ -472,6 +520,7 @@ class Program_weight_tensor_parameter_47: class Program_weight_tensor_parameter_48: name = "parameter_48" + original_name = "conv1d_5.w_0" shape = [1, 96, 3] dtype = "float32" min_val = float("-0.199974") diff --git a/paddle_samples/PaddleX/Nonstationary_ad/subgraph_2/input_meta.py b/paddle_samples/PaddleX/Nonstationary_ad/subgraph_2/input_meta.py index 984552b8f..2477b835f 100644 --- a/paddle_samples/PaddleX/Nonstationary_ad/subgraph_2/input_meta.py +++ b/paddle_samples/PaddleX/Nonstationary_ad/subgraph_2/input_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_data_0: name = "data_0" + original_name = "var_0" shape = [16, 96, 2] dtype = "float32" min_val = float("-2.41022") @@ -11,6 +12,7 @@ class Program_weight_tensor_data_0: class Program_weight_tensor_data_1: name = "data_1" + original_name = "var_32" shape = [1, 5000, 64] dtype = "float32" min_val = float("-1.0") diff --git a/paddle_samples/PaddleX/Nonstationary_ad/subgraph_2/weight_meta.py b/paddle_samples/PaddleX/Nonstationary_ad/subgraph_2/weight_meta.py index f3683e87e..3d1594654 100644 --- a/paddle_samples/PaddleX/Nonstationary_ad/subgraph_2/weight_meta.py +++ b/paddle_samples/PaddleX/Nonstationary_ad/subgraph_2/weight_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_parameter_0: name = "parameter_0" + original_name = "linear_15.b_0" shape = [2] dtype = "float32" min_val = float("0") @@ -9,6 +10,7 @@ class Program_weight_tensor_parameter_0: class Program_weight_tensor_parameter_1: name = "parameter_1" + original_name = "linear_15.w_0" shape = [64, 2] dtype = "float32" min_val = float("-0.124107") @@ -20,6 +22,7 @@ class Program_weight_tensor_parameter_1: class Program_weight_tensor_parameter_2: name = "parameter_2" + original_name = "layer_norm_4.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -29,6 +32,7 @@ class Program_weight_tensor_parameter_2: class Program_weight_tensor_parameter_3: name = "parameter_3" + original_name = "layer_norm_4.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -38,6 +42,7 @@ class Program_weight_tensor_parameter_3: class Program_weight_tensor_parameter_4: name = "parameter_4" + original_name = "layer_norm_3.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -47,6 +52,7 @@ class Program_weight_tensor_parameter_4: class Program_weight_tensor_parameter_5: name = "parameter_5" + original_name = "layer_norm_3.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -56,6 +62,7 @@ class Program_weight_tensor_parameter_5: class Program_weight_tensor_parameter_6: name = "parameter_6" + original_name = "conv1d_4.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -65,6 +72,7 @@ class Program_weight_tensor_parameter_6: class Program_weight_tensor_parameter_7: name = "parameter_7" + original_name = "conv1d_4.w_0" shape = [64, 64, 1] dtype = "float32" min_val = float("-0.597194") @@ -76,6 +84,7 @@ class Program_weight_tensor_parameter_7: class Program_weight_tensor_parameter_8: name = "parameter_8" + original_name = "conv1d_3.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -85,6 +94,7 @@ class Program_weight_tensor_parameter_8: class Program_weight_tensor_parameter_9: name = "parameter_9" + original_name = "conv1d_3.w_0" shape = [64, 64, 1] dtype = "float32" min_val = float("-0.590334") @@ -96,6 +106,7 @@ class Program_weight_tensor_parameter_9: class Program_weight_tensor_parameter_10: name = "parameter_10" + original_name = "layer_norm_2.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -105,6 +116,7 @@ class Program_weight_tensor_parameter_10: class Program_weight_tensor_parameter_11: name = "parameter_11" + original_name = "layer_norm_2.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -114,6 +126,7 @@ class Program_weight_tensor_parameter_11: class Program_weight_tensor_parameter_12: name = "parameter_12" + original_name = "linear_8.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -123,6 +136,7 @@ class Program_weight_tensor_parameter_12: class Program_weight_tensor_parameter_13: name = "parameter_13" + original_name = "linear_8.w_0" shape = [64, 64] dtype = "float32" min_val = float("-0.124979") @@ -134,6 +148,7 @@ class Program_weight_tensor_parameter_13: class Program_weight_tensor_parameter_14: name = "parameter_14" + original_name = "linear_7.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -143,6 +158,7 @@ class Program_weight_tensor_parameter_14: class Program_weight_tensor_parameter_15: name = "parameter_15" + original_name = "linear_7.w_0" shape = [64, 64] dtype = "float32" min_val = float("-0.124789") @@ -154,6 +170,7 @@ class Program_weight_tensor_parameter_15: class Program_weight_tensor_parameter_16: name = "parameter_16" + original_name = "linear_6.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -163,6 +180,7 @@ class Program_weight_tensor_parameter_16: class Program_weight_tensor_parameter_17: name = "parameter_17" + original_name = "linear_6.w_0" shape = [64, 64] dtype = "float32" min_val = float("-0.124971") @@ -174,6 +192,7 @@ class Program_weight_tensor_parameter_17: class Program_weight_tensor_parameter_18: name = "parameter_18" + original_name = "linear_5.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -183,6 +202,7 @@ class Program_weight_tensor_parameter_18: class Program_weight_tensor_parameter_19: name = "parameter_19" + original_name = "linear_5.w_0" shape = [64, 64] dtype = "float32" min_val = float("-0.124987") @@ -194,6 +214,7 @@ class Program_weight_tensor_parameter_19: class Program_weight_tensor_parameter_20: name = "parameter_20" + original_name = "layer_norm_1.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -203,6 +224,7 @@ class Program_weight_tensor_parameter_20: class Program_weight_tensor_parameter_21: name = "parameter_21" + original_name = "layer_norm_1.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -212,6 +234,7 @@ class Program_weight_tensor_parameter_21: class Program_weight_tensor_parameter_22: name = "parameter_22" + original_name = "conv1d_2.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -221,6 +244,7 @@ class Program_weight_tensor_parameter_22: class Program_weight_tensor_parameter_23: name = "parameter_23" + original_name = "conv1d_2.w_0" shape = [64, 64, 1] dtype = "float32" min_val = float("-0.616161") @@ -232,6 +256,7 @@ class Program_weight_tensor_parameter_23: class Program_weight_tensor_parameter_24: name = "parameter_24" + original_name = "conv1d_1.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -241,6 +266,7 @@ class Program_weight_tensor_parameter_24: class Program_weight_tensor_parameter_25: name = "parameter_25" + original_name = "conv1d_1.w_0" shape = [64, 64, 1] dtype = "float32" min_val = float("-0.644333") @@ -252,6 +278,7 @@ class Program_weight_tensor_parameter_25: class Program_weight_tensor_parameter_26: name = "parameter_26" + original_name = "layer_norm_0.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -261,6 +288,7 @@ class Program_weight_tensor_parameter_26: class Program_weight_tensor_parameter_27: name = "parameter_27" + original_name = "layer_norm_0.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -270,6 +298,7 @@ class Program_weight_tensor_parameter_27: class Program_weight_tensor_parameter_28: name = "parameter_28" + original_name = "linear_4.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -279,6 +308,7 @@ class Program_weight_tensor_parameter_28: class Program_weight_tensor_parameter_29: name = "parameter_29" + original_name = "linear_4.w_0" shape = [64, 64] dtype = "float32" min_val = float("-0.124972") @@ -290,6 +320,7 @@ class Program_weight_tensor_parameter_29: class Program_weight_tensor_parameter_30: name = "parameter_30" + original_name = "linear_3.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -299,6 +330,7 @@ class Program_weight_tensor_parameter_30: class Program_weight_tensor_parameter_31: name = "parameter_31" + original_name = "linear_3.w_0" shape = [64, 64] dtype = "float32" min_val = float("-0.124974") @@ -310,6 +342,7 @@ class Program_weight_tensor_parameter_31: class Program_weight_tensor_parameter_32: name = "parameter_32" + original_name = "linear_2.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -319,6 +352,7 @@ class Program_weight_tensor_parameter_32: class Program_weight_tensor_parameter_33: name = "parameter_33" + original_name = "linear_2.w_0" shape = [64, 64] dtype = "float32" min_val = float("-0.124994") @@ -330,6 +364,7 @@ class Program_weight_tensor_parameter_33: class Program_weight_tensor_parameter_34: name = "parameter_34" + original_name = "linear_1.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -339,6 +374,7 @@ class Program_weight_tensor_parameter_34: class Program_weight_tensor_parameter_35: name = "parameter_35" + original_name = "linear_1.w_0" shape = [64, 64] dtype = "float32" min_val = float("-0.12498") @@ -350,6 +386,7 @@ class Program_weight_tensor_parameter_35: class Program_weight_tensor_parameter_36: name = "parameter_36" + original_name = "conv1d_0.w_0" shape = [64, 2, 3] dtype = "float32" min_val = float("-1.41825") @@ -361,6 +398,7 @@ class Program_weight_tensor_parameter_36: class Program_weight_tensor_parameter_37: name = "parameter_37" + original_name = "linear_14.w_0" shape = [32, 96] dtype = "float32" min_val = float("-0.176699") @@ -372,6 +410,7 @@ class Program_weight_tensor_parameter_37: class Program_weight_tensor_parameter_38: name = "parameter_38" + original_name = "linear_13.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -381,6 +420,7 @@ class Program_weight_tensor_parameter_38: class Program_weight_tensor_parameter_39: name = "parameter_39" + original_name = "linear_13.w_0" shape = [32, 32] dtype = "float32" min_val = float("-0.176413") @@ -392,6 +432,7 @@ class Program_weight_tensor_parameter_39: class Program_weight_tensor_parameter_40: name = "parameter_40" + original_name = "linear_12.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -401,6 +442,7 @@ class Program_weight_tensor_parameter_40: class Program_weight_tensor_parameter_41: name = "parameter_41" + original_name = "linear_12.w_0" shape = [4, 32] dtype = "float32" min_val = float("-0.498723") @@ -412,6 +454,7 @@ class Program_weight_tensor_parameter_41: class Program_weight_tensor_parameter_42: name = "parameter_42" + original_name = "conv1d_6.w_0" shape = [1, 96, 3] dtype = "float32" min_val = float("-0.248121") @@ -423,6 +466,7 @@ class Program_weight_tensor_parameter_42: class Program_weight_tensor_parameter_43: name = "parameter_43" + original_name = "linear_11.w_0" shape = [32, 1] dtype = "float32" min_val = float("0") @@ -432,6 +476,7 @@ class Program_weight_tensor_parameter_43: class Program_weight_tensor_parameter_44: name = "parameter_44" + original_name = "linear_10.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -441,6 +486,7 @@ class Program_weight_tensor_parameter_44: class Program_weight_tensor_parameter_45: name = "parameter_45" + original_name = "linear_10.w_0" shape = [32, 32] dtype = "float32" min_val = float("-0.176707") @@ -452,6 +498,7 @@ class Program_weight_tensor_parameter_45: class Program_weight_tensor_parameter_46: name = "parameter_46" + original_name = "linear_9.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -461,6 +508,7 @@ class Program_weight_tensor_parameter_46: class Program_weight_tensor_parameter_47: name = "parameter_47" + original_name = "linear_9.w_0" shape = [4, 32] dtype = "float32" min_val = float("-0.494135") @@ -472,6 +520,7 @@ class Program_weight_tensor_parameter_47: class Program_weight_tensor_parameter_48: name = "parameter_48" + original_name = "conv1d_5.w_0" shape = [1, 96, 3] dtype = "float32" min_val = float("-0.197469") diff --git a/paddle_samples/PaddleX/PicoDet-L/subgraph_15/input_meta.py b/paddle_samples/PaddleX/PicoDet-L/subgraph_15/input_meta.py index 8addac077..9b82327f5 100644 --- a/paddle_samples/PaddleX/PicoDet-L/subgraph_15/input_meta.py +++ b/paddle_samples/PaddleX/PicoDet-L/subgraph_15/input_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_data_0: name = "data_0" + original_name = "var_658" shape = [8, 3, 576, 576] dtype = "float32" min_val = float("-2.71972") @@ -11,6 +12,7 @@ class Program_weight_tensor_data_0: class Program_weight_tensor_data_1: name = "data_1" + original_name = "var_907" shape = [8] dtype = "float32" data = [0.0, 1.0, 2.0, 3.0003, 4.0, 5.0, 6.0006, 7.0] diff --git a/paddle_samples/PaddleX/PicoDet-L/subgraph_15/weight_meta.py b/paddle_samples/PaddleX/PicoDet-L/subgraph_15/weight_meta.py index b946f6b4d..26509928b 100644 --- a/paddle_samples/PaddleX/PicoDet-L/subgraph_15/weight_meta.py +++ b/paddle_samples/PaddleX/PicoDet-L/subgraph_15/weight_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_parameter_0: name = "parameter_0" + original_name = "batch_norm2d_97.b_0" shape = [1] dtype = "float32" min_val = float("0") @@ -9,6 +10,7 @@ class Program_weight_tensor_parameter_0: class Program_weight_tensor_parameter_1: name = "parameter_1" + original_name = "batch_norm2d_97.w_0" shape = [1] dtype = "float32" min_val = float("0") @@ -18,6 +20,7 @@ class Program_weight_tensor_parameter_1: class Program_weight_tensor_parameter_2: name = "parameter_2" + original_name = "batch_norm2d_97.w_2" shape = [1] dtype = "float32" min_val = float("0") @@ -27,6 +30,7 @@ class Program_weight_tensor_parameter_2: class Program_weight_tensor_parameter_3: name = "parameter_3" + original_name = "batch_norm2d_97.w_1" shape = [1] dtype = "float32" min_val = float("0") @@ -36,6 +40,7 @@ class Program_weight_tensor_parameter_3: class Program_weight_tensor_parameter_4: name = "parameter_4" + original_name = "conv2d_115.w_0" shape = [1, 1, 1, 1] dtype = "float32" min_val = float("0") @@ -45,6 +50,7 @@ class Program_weight_tensor_parameter_4: class Program_weight_tensor_parameter_5: name = "parameter_5" + original_name = "batch_norm2d_96.b_0" shape = [1] dtype = "float32" min_val = float("0") @@ -54,6 +60,7 @@ class Program_weight_tensor_parameter_5: class Program_weight_tensor_parameter_6: name = "parameter_6" + original_name = "batch_norm2d_96.w_0" shape = [1] dtype = "float32" min_val = float("0") @@ -63,6 +70,7 @@ class Program_weight_tensor_parameter_6: class Program_weight_tensor_parameter_7: name = "parameter_7" + original_name = "batch_norm2d_96.w_2" shape = [1] dtype = "float32" min_val = float("0") @@ -72,6 +80,7 @@ class Program_weight_tensor_parameter_7: class Program_weight_tensor_parameter_8: name = "parameter_8" + original_name = "batch_norm2d_96.w_1" shape = [1] dtype = "float32" min_val = float("0") @@ -81,6 +90,7 @@ class Program_weight_tensor_parameter_8: class Program_weight_tensor_parameter_9: name = "parameter_9" + original_name = "conv2d_114.w_0" shape = [1, 160, 5, 5] dtype = "float32" min_val = float("-0.356213") @@ -92,6 +102,7 @@ class Program_weight_tensor_parameter_9: class Program_weight_tensor_parameter_10: name = "parameter_10" + original_name = "conv2d_113.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -101,6 +112,7 @@ class Program_weight_tensor_parameter_10: class Program_weight_tensor_parameter_11: name = "parameter_11" + original_name = "conv2d_113.w_0" shape = [32, 160, 1, 1] dtype = "float32" min_val = float("-0.496682") @@ -112,6 +124,7 @@ class Program_weight_tensor_parameter_11: class Program_weight_tensor_parameter_12: name = "parameter_12" + original_name = "conv2d_112.b_0" shape = [4] dtype = "float32" min_val = float("0") @@ -121,6 +134,7 @@ class Program_weight_tensor_parameter_12: class Program_weight_tensor_parameter_13: name = "parameter_13" + original_name = "conv2d_112.w_0" shape = [4, 160, 1, 1] dtype = "float32" min_val = float("-0.0285946") @@ -132,6 +146,7 @@ class Program_weight_tensor_parameter_13: class Program_weight_tensor_parameter_14: name = "parameter_14" + original_name = "batch_norm2d_89.b_0" shape = [160] dtype = "float32" min_val = float("-0.521588") @@ -143,6 +158,7 @@ class Program_weight_tensor_parameter_14: class Program_weight_tensor_parameter_15: name = "parameter_15" + original_name = "batch_norm2d_89.w_0" shape = [160] dtype = "float32" min_val = float("0.699247") @@ -154,6 +170,7 @@ class Program_weight_tensor_parameter_15: class Program_weight_tensor_parameter_16: name = "parameter_16" + original_name = "batch_norm2d_89.w_2" shape = [160] dtype = "float32" min_val = float("0.00922686") @@ -165,6 +182,7 @@ class Program_weight_tensor_parameter_16: class Program_weight_tensor_parameter_17: name = "parameter_17" + original_name = "batch_norm2d_89.w_1" shape = [160] dtype = "float32" min_val = float("-0.215667") @@ -176,6 +194,7 @@ class Program_weight_tensor_parameter_17: class Program_weight_tensor_parameter_18: name = "parameter_18" + original_name = "conv2d_97.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.29073") @@ -187,6 +206,7 @@ class Program_weight_tensor_parameter_18: class Program_weight_tensor_parameter_19: name = "parameter_19" + original_name = "conv2d_96.b_0" shape = [160] dtype = "float32" min_val = float("-0.0496633") @@ -198,6 +218,7 @@ class Program_weight_tensor_parameter_19: class Program_weight_tensor_parameter_20: name = "parameter_20" + original_name = "conv2d_96.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.174508") @@ -209,6 +230,7 @@ class Program_weight_tensor_parameter_20: class Program_weight_tensor_parameter_21: name = "parameter_21" + original_name = "batch_norm2d_88.b_0" shape = [160] dtype = "float32" min_val = float("-2.24548") @@ -220,6 +242,7 @@ class Program_weight_tensor_parameter_21: class Program_weight_tensor_parameter_22: name = "parameter_22" + original_name = "batch_norm2d_88.w_0" shape = [160] dtype = "float32" min_val = float("0.520968") @@ -231,6 +254,7 @@ class Program_weight_tensor_parameter_22: class Program_weight_tensor_parameter_23: name = "parameter_23" + original_name = "batch_norm2d_88.w_2" shape = [160] dtype = "float32" min_val = float("0.0500075") @@ -242,6 +266,7 @@ class Program_weight_tensor_parameter_23: class Program_weight_tensor_parameter_24: name = "parameter_24" + original_name = "batch_norm2d_88.w_1" shape = [160] dtype = "float32" min_val = float("-0.635151") @@ -253,6 +278,7 @@ class Program_weight_tensor_parameter_24: class Program_weight_tensor_parameter_25: name = "parameter_25" + original_name = "conv2d_95.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.424473") @@ -264,6 +290,7 @@ class Program_weight_tensor_parameter_25: class Program_weight_tensor_parameter_26: name = "parameter_26" + original_name = "batch_norm2d_87.b_0" shape = [160] dtype = "float32" min_val = float("-0.987313") @@ -275,6 +302,7 @@ class Program_weight_tensor_parameter_26: class Program_weight_tensor_parameter_27: name = "parameter_27" + original_name = "batch_norm2d_87.w_0" shape = [160] dtype = "float32" min_val = float("0.486931") @@ -286,6 +314,7 @@ class Program_weight_tensor_parameter_27: class Program_weight_tensor_parameter_28: name = "parameter_28" + original_name = "batch_norm2d_87.w_2" shape = [160] dtype = "float32" min_val = float("0.0035558") @@ -297,6 +326,7 @@ class Program_weight_tensor_parameter_28: class Program_weight_tensor_parameter_29: name = "parameter_29" + original_name = "batch_norm2d_87.w_1" shape = [160] dtype = "float32" min_val = float("-0.408654") @@ -308,6 +338,7 @@ class Program_weight_tensor_parameter_29: class Program_weight_tensor_parameter_30: name = "parameter_30" + original_name = "conv2d_94.w_0" shape = [160, 1, 5, 5] dtype = "float32" min_val = float("-0.364153") @@ -319,6 +350,7 @@ class Program_weight_tensor_parameter_30: class Program_weight_tensor_parameter_31: name = "parameter_31" + original_name = "batch_norm2d_86.b_0" shape = [160] dtype = "float32" min_val = float("-0.98674") @@ -330,6 +362,7 @@ class Program_weight_tensor_parameter_31: class Program_weight_tensor_parameter_32: name = "parameter_32" + original_name = "batch_norm2d_86.w_0" shape = [160] dtype = "float32" min_val = float("0.378473") @@ -341,6 +374,7 @@ class Program_weight_tensor_parameter_32: class Program_weight_tensor_parameter_33: name = "parameter_33" + original_name = "batch_norm2d_86.w_2" shape = [160] dtype = "float32" min_val = float("0.0351055") @@ -352,6 +386,7 @@ class Program_weight_tensor_parameter_33: class Program_weight_tensor_parameter_34: name = "parameter_34" + original_name = "batch_norm2d_86.w_1" shape = [160] dtype = "float32" min_val = float("-0.875832") @@ -363,6 +398,7 @@ class Program_weight_tensor_parameter_34: class Program_weight_tensor_parameter_35: name = "parameter_35" + original_name = "conv2d_93.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.368076") @@ -374,6 +410,7 @@ class Program_weight_tensor_parameter_35: class Program_weight_tensor_parameter_36: name = "parameter_36" + original_name = "batch_norm2d_85.b_0" shape = [160] dtype = "float32" min_val = float("-1.46439") @@ -385,6 +422,7 @@ class Program_weight_tensor_parameter_36: class Program_weight_tensor_parameter_37: name = "parameter_37" + original_name = "batch_norm2d_85.w_0" shape = [160] dtype = "float32" min_val = float("0.608107") @@ -396,6 +434,7 @@ class Program_weight_tensor_parameter_37: class Program_weight_tensor_parameter_38: name = "parameter_38" + original_name = "batch_norm2d_85.w_2" shape = [160] dtype = "float32" min_val = float("0.00131516") @@ -407,6 +446,7 @@ class Program_weight_tensor_parameter_38: class Program_weight_tensor_parameter_39: name = "parameter_39" + original_name = "batch_norm2d_85.w_1" shape = [160] dtype = "float32" min_val = float("-0.375697") @@ -418,6 +458,7 @@ class Program_weight_tensor_parameter_39: class Program_weight_tensor_parameter_40: name = "parameter_40" + original_name = "conv2d_92.w_0" shape = [160, 1, 5, 5] dtype = "float32" min_val = float("-0.244634") @@ -429,6 +470,7 @@ class Program_weight_tensor_parameter_40: class Program_weight_tensor_parameter_41: name = "parameter_41" + original_name = "batch_norm2d_84.b_0" shape = [160] dtype = "float32" min_val = float("-1.18063") @@ -440,6 +482,7 @@ class Program_weight_tensor_parameter_41: class Program_weight_tensor_parameter_42: name = "parameter_42" + original_name = "batch_norm2d_84.w_0" shape = [160] dtype = "float32" min_val = float("0.254918") @@ -451,6 +494,7 @@ class Program_weight_tensor_parameter_42: class Program_weight_tensor_parameter_43: name = "parameter_43" + original_name = "batch_norm2d_84.w_2" shape = [160] dtype = "float32" min_val = float("0.0857115") @@ -462,6 +506,7 @@ class Program_weight_tensor_parameter_43: class Program_weight_tensor_parameter_44: name = "parameter_44" + original_name = "batch_norm2d_84.w_1" shape = [160] dtype = "float32" min_val = float("-0.718851") @@ -473,6 +518,7 @@ class Program_weight_tensor_parameter_44: class Program_weight_tensor_parameter_45: name = "parameter_45" + original_name = "conv2d_91.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.300988") @@ -484,6 +530,7 @@ class Program_weight_tensor_parameter_45: class Program_weight_tensor_parameter_46: name = "parameter_46" + original_name = "batch_norm2d_83.b_0" shape = [160] dtype = "float32" min_val = float("-1.06698") @@ -495,6 +542,7 @@ class Program_weight_tensor_parameter_46: class Program_weight_tensor_parameter_47: name = "parameter_47" + original_name = "batch_norm2d_83.w_0" shape = [160] dtype = "float32" min_val = float("0.633603") @@ -506,6 +554,7 @@ class Program_weight_tensor_parameter_47: class Program_weight_tensor_parameter_48: name = "parameter_48" + original_name = "batch_norm2d_83.w_2" shape = [160] dtype = "float32" min_val = float("0.00605325") @@ -517,6 +566,7 @@ class Program_weight_tensor_parameter_48: class Program_weight_tensor_parameter_49: name = "parameter_49" + original_name = "batch_norm2d_83.w_1" shape = [160] dtype = "float32" min_val = float("-0.406151") @@ -528,6 +578,7 @@ class Program_weight_tensor_parameter_49: class Program_weight_tensor_parameter_50: name = "parameter_50" + original_name = "conv2d_90.w_0" shape = [160, 1, 5, 5] dtype = "float32" min_val = float("-0.224753") @@ -539,6 +590,7 @@ class Program_weight_tensor_parameter_50: class Program_weight_tensor_parameter_51: name = "parameter_51" + original_name = "batch_norm2d_82.b_0" shape = [160] dtype = "float32" min_val = float("-0.765194") @@ -550,6 +602,7 @@ class Program_weight_tensor_parameter_51: class Program_weight_tensor_parameter_52: name = "parameter_52" + original_name = "batch_norm2d_82.w_0" shape = [160] dtype = "float32" min_val = float("0.333245") @@ -561,6 +614,7 @@ class Program_weight_tensor_parameter_52: class Program_weight_tensor_parameter_53: name = "parameter_53" + original_name = "batch_norm2d_82.w_2" shape = [160] dtype = "float32" min_val = float("0.0983311") @@ -572,6 +626,7 @@ class Program_weight_tensor_parameter_53: class Program_weight_tensor_parameter_54: name = "parameter_54" + original_name = "batch_norm2d_82.w_1" shape = [160] dtype = "float32" min_val = float("-0.47563") @@ -583,6 +638,7 @@ class Program_weight_tensor_parameter_54: class Program_weight_tensor_parameter_55: name = "parameter_55" + original_name = "conv2d_89.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.403106") @@ -594,6 +650,7 @@ class Program_weight_tensor_parameter_55: class Program_weight_tensor_parameter_56: name = "parameter_56" + original_name = "batch_norm2d_81.b_0" shape = [160] dtype = "float32" min_val = float("-0.916828") @@ -605,6 +662,7 @@ class Program_weight_tensor_parameter_56: class Program_weight_tensor_parameter_57: name = "parameter_57" + original_name = "batch_norm2d_81.w_0" shape = [160] dtype = "float32" min_val = float("0.620762") @@ -616,6 +674,7 @@ class Program_weight_tensor_parameter_57: class Program_weight_tensor_parameter_58: name = "parameter_58" + original_name = "batch_norm2d_81.w_2" shape = [160] dtype = "float32" min_val = float("0.000209633") @@ -627,6 +686,7 @@ class Program_weight_tensor_parameter_58: class Program_weight_tensor_parameter_59: name = "parameter_59" + original_name = "batch_norm2d_81.w_1" shape = [160] dtype = "float32" min_val = float("-0.329898") @@ -638,6 +698,7 @@ class Program_weight_tensor_parameter_59: class Program_weight_tensor_parameter_60: name = "parameter_60" + original_name = "conv2d_88.w_0" shape = [160, 1, 5, 5] dtype = "float32" min_val = float("-0.374497") @@ -649,6 +710,7 @@ class Program_weight_tensor_parameter_60: class Program_weight_tensor_parameter_61: name = "parameter_61" + original_name = "batch_norm2d_95.b_0" shape = [1] dtype = "float32" min_val = float("0") @@ -658,6 +720,7 @@ class Program_weight_tensor_parameter_61: class Program_weight_tensor_parameter_62: name = "parameter_62" + original_name = "batch_norm2d_95.w_0" shape = [1] dtype = "float32" min_val = float("0") @@ -667,6 +730,7 @@ class Program_weight_tensor_parameter_62: class Program_weight_tensor_parameter_63: name = "parameter_63" + original_name = "batch_norm2d_95.w_2" shape = [1] dtype = "float32" min_val = float("0") @@ -676,6 +740,7 @@ class Program_weight_tensor_parameter_63: class Program_weight_tensor_parameter_64: name = "parameter_64" + original_name = "batch_norm2d_95.w_1" shape = [1] dtype = "float32" min_val = float("0") @@ -685,6 +750,7 @@ class Program_weight_tensor_parameter_64: class Program_weight_tensor_parameter_65: name = "parameter_65" + original_name = "conv2d_111.w_0" shape = [1, 1, 1, 1] dtype = "float32" min_val = float("0") @@ -694,6 +760,7 @@ class Program_weight_tensor_parameter_65: class Program_weight_tensor_parameter_66: name = "parameter_66" + original_name = "batch_norm2d_94.b_0" shape = [1] dtype = "float32" min_val = float("0") @@ -703,6 +770,7 @@ class Program_weight_tensor_parameter_66: class Program_weight_tensor_parameter_67: name = "parameter_67" + original_name = "batch_norm2d_94.w_0" shape = [1] dtype = "float32" min_val = float("0") @@ -712,6 +780,7 @@ class Program_weight_tensor_parameter_67: class Program_weight_tensor_parameter_68: name = "parameter_68" + original_name = "batch_norm2d_94.w_2" shape = [1] dtype = "float32" min_val = float("0") @@ -721,6 +790,7 @@ class Program_weight_tensor_parameter_68: class Program_weight_tensor_parameter_69: name = "parameter_69" + original_name = "batch_norm2d_94.w_1" shape = [1] dtype = "float32" min_val = float("0") @@ -730,6 +800,7 @@ class Program_weight_tensor_parameter_69: class Program_weight_tensor_parameter_70: name = "parameter_70" + original_name = "conv2d_110.w_0" shape = [1, 160, 5, 5] dtype = "float32" min_val = float("-0.343969") @@ -741,6 +812,7 @@ class Program_weight_tensor_parameter_70: class Program_weight_tensor_parameter_71: name = "parameter_71" + original_name = "conv2d_109.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -750,6 +822,7 @@ class Program_weight_tensor_parameter_71: class Program_weight_tensor_parameter_72: name = "parameter_72" + original_name = "conv2d_109.w_0" shape = [32, 160, 1, 1] dtype = "float32" min_val = float("-0.427166") @@ -761,6 +834,7 @@ class Program_weight_tensor_parameter_72: class Program_weight_tensor_parameter_73: name = "parameter_73" + original_name = "conv2d_108.b_0" shape = [4] dtype = "float32" min_val = float("0") @@ -770,6 +844,7 @@ class Program_weight_tensor_parameter_73: class Program_weight_tensor_parameter_74: name = "parameter_74" + original_name = "conv2d_108.w_0" shape = [4, 160, 1, 1] dtype = "float32" min_val = float("-0.0360218") @@ -781,6 +856,7 @@ class Program_weight_tensor_parameter_74: class Program_weight_tensor_parameter_75: name = "parameter_75" + original_name = "batch_norm2d_80.b_0" shape = [160] dtype = "float32" min_val = float("-0.296128") @@ -792,6 +868,7 @@ class Program_weight_tensor_parameter_75: class Program_weight_tensor_parameter_76: name = "parameter_76" + original_name = "batch_norm2d_80.w_0" shape = [160] dtype = "float32" min_val = float("0.620996") @@ -803,6 +880,7 @@ class Program_weight_tensor_parameter_76: class Program_weight_tensor_parameter_77: name = "parameter_77" + original_name = "batch_norm2d_80.w_2" shape = [160] dtype = "float32" min_val = float("0.00908919") @@ -814,6 +892,7 @@ class Program_weight_tensor_parameter_77: class Program_weight_tensor_parameter_78: name = "parameter_78" + original_name = "batch_norm2d_80.w_1" shape = [160] dtype = "float32" min_val = float("-0.385999") @@ -825,6 +904,7 @@ class Program_weight_tensor_parameter_78: class Program_weight_tensor_parameter_79: name = "parameter_79" + original_name = "conv2d_87.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.306014") @@ -836,6 +916,7 @@ class Program_weight_tensor_parameter_79: class Program_weight_tensor_parameter_80: name = "parameter_80" + original_name = "conv2d_86.b_0" shape = [160] dtype = "float32" min_val = float("-0.0468568") @@ -847,6 +928,7 @@ class Program_weight_tensor_parameter_80: class Program_weight_tensor_parameter_81: name = "parameter_81" + original_name = "conv2d_86.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.181727") @@ -858,6 +940,7 @@ class Program_weight_tensor_parameter_81: class Program_weight_tensor_parameter_82: name = "parameter_82" + original_name = "batch_norm2d_79.b_0" shape = [160] dtype = "float32" min_val = float("-0.964429") @@ -869,6 +952,7 @@ class Program_weight_tensor_parameter_82: class Program_weight_tensor_parameter_83: name = "parameter_83" + original_name = "batch_norm2d_79.w_0" shape = [160] dtype = "float32" min_val = float("0.548972") @@ -880,6 +964,7 @@ class Program_weight_tensor_parameter_83: class Program_weight_tensor_parameter_84: name = "parameter_84" + original_name = "batch_norm2d_79.w_2" shape = [160] dtype = "float32" min_val = float("0.0289161") @@ -891,6 +976,7 @@ class Program_weight_tensor_parameter_84: class Program_weight_tensor_parameter_85: name = "parameter_85" + original_name = "batch_norm2d_79.w_1" shape = [160] dtype = "float32" min_val = float("-1.30101") @@ -902,6 +988,7 @@ class Program_weight_tensor_parameter_85: class Program_weight_tensor_parameter_86: name = "parameter_86" + original_name = "conv2d_85.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.381939") @@ -913,6 +1000,7 @@ class Program_weight_tensor_parameter_86: class Program_weight_tensor_parameter_87: name = "parameter_87" + original_name = "batch_norm2d_78.b_0" shape = [160] dtype = "float32" min_val = float("-0.498737") @@ -924,6 +1012,7 @@ class Program_weight_tensor_parameter_87: class Program_weight_tensor_parameter_88: name = "parameter_88" + original_name = "batch_norm2d_78.w_0" shape = [160] dtype = "float32" min_val = float("0.389067") @@ -935,6 +1024,7 @@ class Program_weight_tensor_parameter_88: class Program_weight_tensor_parameter_89: name = "parameter_89" + original_name = "batch_norm2d_78.w_2" shape = [160] dtype = "float32" min_val = float("0.00363149") @@ -946,6 +1036,7 @@ class Program_weight_tensor_parameter_89: class Program_weight_tensor_parameter_90: name = "parameter_90" + original_name = "batch_norm2d_78.w_1" shape = [160] dtype = "float32" min_val = float("-0.212867") @@ -957,6 +1048,7 @@ class Program_weight_tensor_parameter_90: class Program_weight_tensor_parameter_91: name = "parameter_91" + original_name = "conv2d_84.w_0" shape = [160, 1, 5, 5] dtype = "float32" min_val = float("-0.376161") @@ -968,6 +1060,7 @@ class Program_weight_tensor_parameter_91: class Program_weight_tensor_parameter_92: name = "parameter_92" + original_name = "batch_norm2d_77.b_0" shape = [160] dtype = "float32" min_val = float("-0.563776") @@ -979,6 +1072,7 @@ class Program_weight_tensor_parameter_92: class Program_weight_tensor_parameter_93: name = "parameter_93" + original_name = "batch_norm2d_77.w_0" shape = [160] dtype = "float32" min_val = float("0.302869") @@ -990,6 +1084,7 @@ class Program_weight_tensor_parameter_93: class Program_weight_tensor_parameter_94: name = "parameter_94" + original_name = "batch_norm2d_77.w_2" shape = [160] dtype = "float32" min_val = float("0.043748") @@ -1001,6 +1096,7 @@ class Program_weight_tensor_parameter_94: class Program_weight_tensor_parameter_95: name = "parameter_95" + original_name = "batch_norm2d_77.w_1" shape = [160] dtype = "float32" min_val = float("-0.501377") @@ -1012,6 +1108,7 @@ class Program_weight_tensor_parameter_95: class Program_weight_tensor_parameter_96: name = "parameter_96" + original_name = "conv2d_83.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.417684") @@ -1023,6 +1120,7 @@ class Program_weight_tensor_parameter_96: class Program_weight_tensor_parameter_97: name = "parameter_97" + original_name = "batch_norm2d_76.b_0" shape = [160] dtype = "float32" min_val = float("-0.428443") @@ -1034,6 +1132,7 @@ class Program_weight_tensor_parameter_97: class Program_weight_tensor_parameter_98: name = "parameter_98" + original_name = "batch_norm2d_76.w_0" shape = [160] dtype = "float32" min_val = float("0.547845") @@ -1045,6 +1144,7 @@ class Program_weight_tensor_parameter_98: class Program_weight_tensor_parameter_99: name = "parameter_99" + original_name = "batch_norm2d_76.w_2" shape = [160] dtype = "float32" min_val = float("0.00192855") @@ -1056,6 +1156,7 @@ class Program_weight_tensor_parameter_99: class Program_weight_tensor_parameter_100: name = "parameter_100" + original_name = "batch_norm2d_76.w_1" shape = [160] dtype = "float32" min_val = float("-0.298802") @@ -1067,6 +1168,7 @@ class Program_weight_tensor_parameter_100: class Program_weight_tensor_parameter_101: name = "parameter_101" + original_name = "conv2d_82.w_0" shape = [160, 1, 5, 5] dtype = "float32" min_val = float("-0.250864") @@ -1078,6 +1180,7 @@ class Program_weight_tensor_parameter_101: class Program_weight_tensor_parameter_102: name = "parameter_102" + original_name = "batch_norm2d_75.b_0" shape = [160] dtype = "float32" min_val = float("-0.811368") @@ -1089,6 +1192,7 @@ class Program_weight_tensor_parameter_102: class Program_weight_tensor_parameter_103: name = "parameter_103" + original_name = "batch_norm2d_75.w_0" shape = [160] dtype = "float32" min_val = float("0.125487") @@ -1100,6 +1204,7 @@ class Program_weight_tensor_parameter_103: class Program_weight_tensor_parameter_104: name = "parameter_104" + original_name = "batch_norm2d_75.w_2" shape = [160] dtype = "float32" min_val = float("0.0428115") @@ -1111,6 +1216,7 @@ class Program_weight_tensor_parameter_104: class Program_weight_tensor_parameter_105: name = "parameter_105" + original_name = "batch_norm2d_75.w_1" shape = [160] dtype = "float32" min_val = float("-0.664097") @@ -1122,6 +1228,7 @@ class Program_weight_tensor_parameter_105: class Program_weight_tensor_parameter_106: name = "parameter_106" + original_name = "conv2d_81.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.335423") @@ -1133,6 +1240,7 @@ class Program_weight_tensor_parameter_106: class Program_weight_tensor_parameter_107: name = "parameter_107" + original_name = "batch_norm2d_74.b_0" shape = [160] dtype = "float32" min_val = float("-0.298506") @@ -1144,6 +1252,7 @@ class Program_weight_tensor_parameter_107: class Program_weight_tensor_parameter_108: name = "parameter_108" + original_name = "batch_norm2d_74.w_0" shape = [160] dtype = "float32" min_val = float("0.572945") @@ -1155,6 +1264,7 @@ class Program_weight_tensor_parameter_108: class Program_weight_tensor_parameter_109: name = "parameter_109" + original_name = "batch_norm2d_74.w_2" shape = [160] dtype = "float32" min_val = float("0.00664615") @@ -1166,6 +1276,7 @@ class Program_weight_tensor_parameter_109: class Program_weight_tensor_parameter_110: name = "parameter_110" + original_name = "batch_norm2d_74.w_1" shape = [160] dtype = "float32" min_val = float("-0.237412") @@ -1177,6 +1288,7 @@ class Program_weight_tensor_parameter_110: class Program_weight_tensor_parameter_111: name = "parameter_111" + original_name = "conv2d_80.w_0" shape = [160, 1, 5, 5] dtype = "float32" min_val = float("-0.279558") @@ -1188,6 +1300,7 @@ class Program_weight_tensor_parameter_111: class Program_weight_tensor_parameter_112: name = "parameter_112" + original_name = "batch_norm2d_73.b_0" shape = [160] dtype = "float32" min_val = float("-0.307654") @@ -1199,6 +1312,7 @@ class Program_weight_tensor_parameter_112: class Program_weight_tensor_parameter_113: name = "parameter_113" + original_name = "batch_norm2d_73.w_0" shape = [160] dtype = "float32" min_val = float("0.303106") @@ -1210,6 +1324,7 @@ class Program_weight_tensor_parameter_113: class Program_weight_tensor_parameter_114: name = "parameter_114" + original_name = "batch_norm2d_73.w_2" shape = [160] dtype = "float32" min_val = float("0.052102") @@ -1221,6 +1336,7 @@ class Program_weight_tensor_parameter_114: class Program_weight_tensor_parameter_115: name = "parameter_115" + original_name = "batch_norm2d_73.w_1" shape = [160] dtype = "float32" min_val = float("-0.609228") @@ -1232,6 +1348,7 @@ class Program_weight_tensor_parameter_115: class Program_weight_tensor_parameter_116: name = "parameter_116" + original_name = "conv2d_79.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.27644") @@ -1243,6 +1360,7 @@ class Program_weight_tensor_parameter_116: class Program_weight_tensor_parameter_117: name = "parameter_117" + original_name = "batch_norm2d_72.b_0" shape = [160] dtype = "float32" min_val = float("-0.129436") @@ -1254,6 +1372,7 @@ class Program_weight_tensor_parameter_117: class Program_weight_tensor_parameter_118: name = "parameter_118" + original_name = "batch_norm2d_72.w_0" shape = [160] dtype = "float32" min_val = float("0.535914") @@ -1265,6 +1384,7 @@ class Program_weight_tensor_parameter_118: class Program_weight_tensor_parameter_119: name = "parameter_119" + original_name = "batch_norm2d_72.w_2" shape = [160] dtype = "float32" min_val = float("0.00348142") @@ -1276,6 +1396,7 @@ class Program_weight_tensor_parameter_119: class Program_weight_tensor_parameter_120: name = "parameter_120" + original_name = "batch_norm2d_72.w_1" shape = [160] dtype = "float32" min_val = float("-0.593781") @@ -1287,6 +1408,7 @@ class Program_weight_tensor_parameter_120: class Program_weight_tensor_parameter_121: name = "parameter_121" + original_name = "conv2d_78.w_0" shape = [160, 1, 5, 5] dtype = "float32" min_val = float("-0.291443") @@ -1298,6 +1420,7 @@ class Program_weight_tensor_parameter_121: class Program_weight_tensor_parameter_122: name = "parameter_122" + original_name = "batch_norm2d_93.b_0" shape = [1] dtype = "float32" min_val = float("0") @@ -1307,6 +1430,7 @@ class Program_weight_tensor_parameter_122: class Program_weight_tensor_parameter_123: name = "parameter_123" + original_name = "batch_norm2d_93.w_0" shape = [1] dtype = "float32" min_val = float("0") @@ -1316,6 +1440,7 @@ class Program_weight_tensor_parameter_123: class Program_weight_tensor_parameter_124: name = "parameter_124" + original_name = "batch_norm2d_93.w_2" shape = [1] dtype = "float32" min_val = float("0") @@ -1325,6 +1450,7 @@ class Program_weight_tensor_parameter_124: class Program_weight_tensor_parameter_125: name = "parameter_125" + original_name = "batch_norm2d_93.w_1" shape = [1] dtype = "float32" min_val = float("0") @@ -1334,6 +1460,7 @@ class Program_weight_tensor_parameter_125: class Program_weight_tensor_parameter_126: name = "parameter_126" + original_name = "conv2d_107.w_0" shape = [1, 1, 1, 1] dtype = "float32" min_val = float("0") @@ -1343,6 +1470,7 @@ class Program_weight_tensor_parameter_126: class Program_weight_tensor_parameter_127: name = "parameter_127" + original_name = "batch_norm2d_92.b_0" shape = [1] dtype = "float32" min_val = float("0") @@ -1352,6 +1480,7 @@ class Program_weight_tensor_parameter_127: class Program_weight_tensor_parameter_128: name = "parameter_128" + original_name = "batch_norm2d_92.w_0" shape = [1] dtype = "float32" min_val = float("0") @@ -1361,6 +1490,7 @@ class Program_weight_tensor_parameter_128: class Program_weight_tensor_parameter_129: name = "parameter_129" + original_name = "batch_norm2d_92.w_2" shape = [1] dtype = "float32" min_val = float("0") @@ -1370,6 +1500,7 @@ class Program_weight_tensor_parameter_129: class Program_weight_tensor_parameter_130: name = "parameter_130" + original_name = "batch_norm2d_92.w_1" shape = [1] dtype = "float32" min_val = float("0") @@ -1379,6 +1510,7 @@ class Program_weight_tensor_parameter_130: class Program_weight_tensor_parameter_131: name = "parameter_131" + original_name = "conv2d_106.w_0" shape = [1, 160, 5, 5] dtype = "float32" min_val = float("-0.099178") @@ -1390,6 +1522,7 @@ class Program_weight_tensor_parameter_131: class Program_weight_tensor_parameter_132: name = "parameter_132" + original_name = "conv2d_105.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -1399,6 +1532,7 @@ class Program_weight_tensor_parameter_132: class Program_weight_tensor_parameter_133: name = "parameter_133" + original_name = "conv2d_105.w_0" shape = [32, 160, 1, 1] dtype = "float32" min_val = float("-0.447913") @@ -1410,6 +1544,7 @@ class Program_weight_tensor_parameter_133: class Program_weight_tensor_parameter_134: name = "parameter_134" + original_name = "conv2d_104.b_0" shape = [4] dtype = "float32" min_val = float("0") @@ -1419,6 +1554,7 @@ class Program_weight_tensor_parameter_134: class Program_weight_tensor_parameter_135: name = "parameter_135" + original_name = "conv2d_104.w_0" shape = [4, 160, 1, 1] dtype = "float32" min_val = float("-0.0351169") @@ -1430,6 +1566,7 @@ class Program_weight_tensor_parameter_135: class Program_weight_tensor_parameter_136: name = "parameter_136" + original_name = "batch_norm2d_71.b_0" shape = [160] dtype = "float32" min_val = float("-0.911162") @@ -1441,6 +1578,7 @@ class Program_weight_tensor_parameter_136: class Program_weight_tensor_parameter_137: name = "parameter_137" + original_name = "batch_norm2d_71.w_0" shape = [160] dtype = "float32" min_val = float("0.429813") @@ -1452,6 +1590,7 @@ class Program_weight_tensor_parameter_137: class Program_weight_tensor_parameter_138: name = "parameter_138" + original_name = "batch_norm2d_71.w_2" shape = [160] dtype = "float32" min_val = float("0.0165991") @@ -1463,6 +1602,7 @@ class Program_weight_tensor_parameter_138: class Program_weight_tensor_parameter_139: name = "parameter_139" + original_name = "batch_norm2d_71.w_1" shape = [160] dtype = "float32" min_val = float("-0.61907") @@ -1474,6 +1614,7 @@ class Program_weight_tensor_parameter_139: class Program_weight_tensor_parameter_140: name = "parameter_140" + original_name = "conv2d_77.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.408275") @@ -1485,6 +1626,7 @@ class Program_weight_tensor_parameter_140: class Program_weight_tensor_parameter_141: name = "parameter_141" + original_name = "conv2d_76.b_0" shape = [160] dtype = "float32" min_val = float("-0.0411954") @@ -1496,6 +1638,7 @@ class Program_weight_tensor_parameter_141: class Program_weight_tensor_parameter_142: name = "parameter_142" + original_name = "conv2d_76.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.261471") @@ -1507,6 +1650,7 @@ class Program_weight_tensor_parameter_142: class Program_weight_tensor_parameter_143: name = "parameter_143" + original_name = "batch_norm2d_70.b_0" shape = [160] dtype = "float32" min_val = float("-1.39548") @@ -1518,6 +1662,7 @@ class Program_weight_tensor_parameter_143: class Program_weight_tensor_parameter_144: name = "parameter_144" + original_name = "batch_norm2d_70.w_0" shape = [160] dtype = "float32" min_val = float("0.731932") @@ -1529,6 +1674,7 @@ class Program_weight_tensor_parameter_144: class Program_weight_tensor_parameter_145: name = "parameter_145" + original_name = "batch_norm2d_70.w_2" shape = [160] dtype = "float32" min_val = float("0.0336047") @@ -1540,6 +1686,7 @@ class Program_weight_tensor_parameter_145: class Program_weight_tensor_parameter_146: name = "parameter_146" + original_name = "batch_norm2d_70.w_1" shape = [160] dtype = "float32" min_val = float("-1.15328") @@ -1551,6 +1698,7 @@ class Program_weight_tensor_parameter_146: class Program_weight_tensor_parameter_147: name = "parameter_147" + original_name = "conv2d_75.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.386287") @@ -1562,6 +1710,7 @@ class Program_weight_tensor_parameter_147: class Program_weight_tensor_parameter_148: name = "parameter_148" + original_name = "batch_norm2d_69.b_0" shape = [160] dtype = "float32" min_val = float("-0.341554") @@ -1573,6 +1722,7 @@ class Program_weight_tensor_parameter_148: class Program_weight_tensor_parameter_149: name = "parameter_149" + original_name = "batch_norm2d_69.w_0" shape = [160] dtype = "float32" min_val = float("0.481569") @@ -1584,6 +1734,7 @@ class Program_weight_tensor_parameter_149: class Program_weight_tensor_parameter_150: name = "parameter_150" + original_name = "batch_norm2d_69.w_2" shape = [160] dtype = "float32" min_val = float("0.00312318") @@ -1595,6 +1746,7 @@ class Program_weight_tensor_parameter_150: class Program_weight_tensor_parameter_151: name = "parameter_151" + original_name = "batch_norm2d_69.w_1" shape = [160] dtype = "float32" min_val = float("-0.268555") @@ -1606,6 +1758,7 @@ class Program_weight_tensor_parameter_151: class Program_weight_tensor_parameter_152: name = "parameter_152" + original_name = "conv2d_74.w_0" shape = [160, 1, 5, 5] dtype = "float32" min_val = float("-0.409956") @@ -1617,6 +1770,7 @@ class Program_weight_tensor_parameter_152: class Program_weight_tensor_parameter_153: name = "parameter_153" + original_name = "batch_norm2d_68.b_0" shape = [160] dtype = "float32" min_val = float("-0.778698") @@ -1628,6 +1782,7 @@ class Program_weight_tensor_parameter_153: class Program_weight_tensor_parameter_154: name = "parameter_154" + original_name = "batch_norm2d_68.w_0" shape = [160] dtype = "float32" min_val = float("0.184088") @@ -1639,6 +1794,7 @@ class Program_weight_tensor_parameter_154: class Program_weight_tensor_parameter_155: name = "parameter_155" + original_name = "batch_norm2d_68.w_2" shape = [160] dtype = "float32" min_val = float("0.048143") @@ -1650,6 +1806,7 @@ class Program_weight_tensor_parameter_155: class Program_weight_tensor_parameter_156: name = "parameter_156" + original_name = "batch_norm2d_68.w_1" shape = [160] dtype = "float32" min_val = float("-0.523079") @@ -1661,6 +1818,7 @@ class Program_weight_tensor_parameter_156: class Program_weight_tensor_parameter_157: name = "parameter_157" + original_name = "conv2d_73.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.335091") @@ -1672,6 +1830,7 @@ class Program_weight_tensor_parameter_157: class Program_weight_tensor_parameter_158: name = "parameter_158" + original_name = "batch_norm2d_67.b_0" shape = [160] dtype = "float32" min_val = float("-0.335059") @@ -1683,6 +1842,7 @@ class Program_weight_tensor_parameter_158: class Program_weight_tensor_parameter_159: name = "parameter_159" + original_name = "batch_norm2d_67.w_0" shape = [160] dtype = "float32" min_val = float("0.572128") @@ -1694,6 +1854,7 @@ class Program_weight_tensor_parameter_159: class Program_weight_tensor_parameter_160: name = "parameter_160" + original_name = "batch_norm2d_67.w_2" shape = [160] dtype = "float32" min_val = float("0.00107233") @@ -1705,6 +1866,7 @@ class Program_weight_tensor_parameter_160: class Program_weight_tensor_parameter_161: name = "parameter_161" + original_name = "batch_norm2d_67.w_1" shape = [160] dtype = "float32" min_val = float("-0.25453") @@ -1716,6 +1878,7 @@ class Program_weight_tensor_parameter_161: class Program_weight_tensor_parameter_162: name = "parameter_162" + original_name = "conv2d_72.w_0" shape = [160, 1, 5, 5] dtype = "float32" min_val = float("-0.248719") @@ -1727,6 +1890,7 @@ class Program_weight_tensor_parameter_162: class Program_weight_tensor_parameter_163: name = "parameter_163" + original_name = "batch_norm2d_66.b_0" shape = [160] dtype = "float32" min_val = float("-0.347887") @@ -1738,6 +1902,7 @@ class Program_weight_tensor_parameter_163: class Program_weight_tensor_parameter_164: name = "parameter_164" + original_name = "batch_norm2d_66.w_0" shape = [160] dtype = "float32" min_val = float("0.119691") @@ -1749,6 +1914,7 @@ class Program_weight_tensor_parameter_164: class Program_weight_tensor_parameter_165: name = "parameter_165" + original_name = "batch_norm2d_66.w_2" shape = [160] dtype = "float32" min_val = float("0.0648214") @@ -1760,6 +1926,7 @@ class Program_weight_tensor_parameter_165: class Program_weight_tensor_parameter_166: name = "parameter_166" + original_name = "batch_norm2d_66.w_1" shape = [160] dtype = "float32" min_val = float("-0.545448") @@ -1771,6 +1938,7 @@ class Program_weight_tensor_parameter_166: class Program_weight_tensor_parameter_167: name = "parameter_167" + original_name = "conv2d_71.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.331429") @@ -1782,6 +1950,7 @@ class Program_weight_tensor_parameter_167: class Program_weight_tensor_parameter_168: name = "parameter_168" + original_name = "batch_norm2d_65.b_0" shape = [160] dtype = "float32" min_val = float("-0.278153") @@ -1793,6 +1962,7 @@ class Program_weight_tensor_parameter_168: class Program_weight_tensor_parameter_169: name = "parameter_169" + original_name = "batch_norm2d_65.w_0" shape = [160] dtype = "float32" min_val = float("0.540952") @@ -1804,6 +1974,7 @@ class Program_weight_tensor_parameter_169: class Program_weight_tensor_parameter_170: name = "parameter_170" + original_name = "batch_norm2d_65.w_2" shape = [160] dtype = "float32" min_val = float("0.00145926") @@ -1815,6 +1986,7 @@ class Program_weight_tensor_parameter_170: class Program_weight_tensor_parameter_171: name = "parameter_171" + original_name = "batch_norm2d_65.w_1" shape = [160] dtype = "float32" min_val = float("-0.292019") @@ -1826,6 +1998,7 @@ class Program_weight_tensor_parameter_171: class Program_weight_tensor_parameter_172: name = "parameter_172" + original_name = "conv2d_70.w_0" shape = [160, 1, 5, 5] dtype = "float32" min_val = float("-0.299693") @@ -1837,6 +2010,7 @@ class Program_weight_tensor_parameter_172: class Program_weight_tensor_parameter_173: name = "parameter_173" + original_name = "batch_norm2d_64.b_0" shape = [160] dtype = "float32" min_val = float("-0.527016") @@ -1848,6 +2022,7 @@ class Program_weight_tensor_parameter_173: class Program_weight_tensor_parameter_174: name = "parameter_174" + original_name = "batch_norm2d_64.w_0" shape = [160] dtype = "float32" min_val = float("0.156107") @@ -1859,6 +2034,7 @@ class Program_weight_tensor_parameter_174: class Program_weight_tensor_parameter_175: name = "parameter_175" + original_name = "batch_norm2d_64.w_2" shape = [160] dtype = "float32" min_val = float("0.0849134") @@ -1870,6 +2046,7 @@ class Program_weight_tensor_parameter_175: class Program_weight_tensor_parameter_176: name = "parameter_176" + original_name = "batch_norm2d_64.w_1" shape = [160] dtype = "float32" min_val = float("-0.636739") @@ -1881,6 +2058,7 @@ class Program_weight_tensor_parameter_176: class Program_weight_tensor_parameter_177: name = "parameter_177" + original_name = "conv2d_69.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.369454") @@ -1892,6 +2070,7 @@ class Program_weight_tensor_parameter_177: class Program_weight_tensor_parameter_178: name = "parameter_178" + original_name = "batch_norm2d_63.b_0" shape = [160] dtype = "float32" min_val = float("-0.147475") @@ -1903,6 +2082,7 @@ class Program_weight_tensor_parameter_178: class Program_weight_tensor_parameter_179: name = "parameter_179" + original_name = "batch_norm2d_63.w_0" shape = [160] dtype = "float32" min_val = float("0.635942") @@ -1914,6 +2094,7 @@ class Program_weight_tensor_parameter_179: class Program_weight_tensor_parameter_180: name = "parameter_180" + original_name = "batch_norm2d_63.w_2" shape = [160] dtype = "float32" min_val = float("0.0019277") @@ -1925,6 +2106,7 @@ class Program_weight_tensor_parameter_180: class Program_weight_tensor_parameter_181: name = "parameter_181" + original_name = "batch_norm2d_63.w_1" shape = [160] dtype = "float32" min_val = float("-0.143778") @@ -1936,6 +2118,7 @@ class Program_weight_tensor_parameter_181: class Program_weight_tensor_parameter_182: name = "parameter_182" + original_name = "conv2d_68.w_0" shape = [160, 1, 5, 5] dtype = "float32" min_val = float("-0.247753") @@ -1947,6 +2130,7 @@ class Program_weight_tensor_parameter_182: class Program_weight_tensor_parameter_183: name = "parameter_183" + original_name = "batch_norm2d_91.b_0" shape = [1] dtype = "float32" min_val = float("0") @@ -1956,6 +2140,7 @@ class Program_weight_tensor_parameter_183: class Program_weight_tensor_parameter_184: name = "parameter_184" + original_name = "batch_norm2d_91.w_0" shape = [1] dtype = "float32" min_val = float("0") @@ -1965,6 +2150,7 @@ class Program_weight_tensor_parameter_184: class Program_weight_tensor_parameter_185: name = "parameter_185" + original_name = "batch_norm2d_91.w_2" shape = [1] dtype = "float32" min_val = float("0") @@ -1974,6 +2160,7 @@ class Program_weight_tensor_parameter_185: class Program_weight_tensor_parameter_186: name = "parameter_186" + original_name = "batch_norm2d_91.w_1" shape = [1] dtype = "float32" min_val = float("0") @@ -1983,6 +2170,7 @@ class Program_weight_tensor_parameter_186: class Program_weight_tensor_parameter_187: name = "parameter_187" + original_name = "conv2d_103.w_0" shape = [1, 1, 1, 1] dtype = "float32" min_val = float("0") @@ -1992,6 +2180,7 @@ class Program_weight_tensor_parameter_187: class Program_weight_tensor_parameter_188: name = "parameter_188" + original_name = "batch_norm2d_90.b_0" shape = [1] dtype = "float32" min_val = float("0") @@ -2001,6 +2190,7 @@ class Program_weight_tensor_parameter_188: class Program_weight_tensor_parameter_189: name = "parameter_189" + original_name = "batch_norm2d_90.w_0" shape = [1] dtype = "float32" min_val = float("0") @@ -2010,6 +2200,7 @@ class Program_weight_tensor_parameter_189: class Program_weight_tensor_parameter_190: name = "parameter_190" + original_name = "batch_norm2d_90.w_2" shape = [1] dtype = "float32" min_val = float("0") @@ -2019,6 +2210,7 @@ class Program_weight_tensor_parameter_190: class Program_weight_tensor_parameter_191: name = "parameter_191" + original_name = "batch_norm2d_90.w_1" shape = [1] dtype = "float32" min_val = float("0") @@ -2028,6 +2220,7 @@ class Program_weight_tensor_parameter_191: class Program_weight_tensor_parameter_192: name = "parameter_192" + original_name = "conv2d_102.w_0" shape = [1, 160, 5, 5] dtype = "float32" min_val = float("-0.343234") @@ -2039,6 +2232,7 @@ class Program_weight_tensor_parameter_192: class Program_weight_tensor_parameter_193: name = "parameter_193" + original_name = "conv2d_101.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -2048,6 +2242,7 @@ class Program_weight_tensor_parameter_193: class Program_weight_tensor_parameter_194: name = "parameter_194" + original_name = "conv2d_101.w_0" shape = [32, 160, 1, 1] dtype = "float32" min_val = float("-0.501342") @@ -2059,6 +2254,7 @@ class Program_weight_tensor_parameter_194: class Program_weight_tensor_parameter_195: name = "parameter_195" + original_name = "conv2d_100.b_0" shape = [4] dtype = "float32" min_val = float("0") @@ -2068,6 +2264,7 @@ class Program_weight_tensor_parameter_195: class Program_weight_tensor_parameter_196: name = "parameter_196" + original_name = "conv2d_100.w_0" shape = [4, 160, 1, 1] dtype = "float32" min_val = float("-0.0280642") @@ -2079,6 +2276,7 @@ class Program_weight_tensor_parameter_196: class Program_weight_tensor_parameter_197: name = "parameter_197" + original_name = "batch_norm2d_62.b_0" shape = [160] dtype = "float32" min_val = float("-0.175122") @@ -2090,6 +2288,7 @@ class Program_weight_tensor_parameter_197: class Program_weight_tensor_parameter_198: name = "parameter_198" + original_name = "batch_norm2d_62.w_0" shape = [160] dtype = "float32" min_val = float("0.394882") @@ -2101,6 +2300,7 @@ class Program_weight_tensor_parameter_198: class Program_weight_tensor_parameter_199: name = "parameter_199" + original_name = "batch_norm2d_62.w_2" shape = [160] dtype = "float32" min_val = float("0.0158578") @@ -2112,6 +2312,7 @@ class Program_weight_tensor_parameter_199: class Program_weight_tensor_parameter_200: name = "parameter_200" + original_name = "batch_norm2d_62.w_1" shape = [160] dtype = "float32" min_val = float("-0.379409") @@ -2123,6 +2324,7 @@ class Program_weight_tensor_parameter_200: class Program_weight_tensor_parameter_201: name = "parameter_201" + original_name = "conv2d_67.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.486282") @@ -2134,6 +2336,7 @@ class Program_weight_tensor_parameter_201: class Program_weight_tensor_parameter_202: name = "parameter_202" + original_name = "conv2d_66.b_0" shape = [160] dtype = "float32" min_val = float("-0.0511428") @@ -2145,6 +2348,7 @@ class Program_weight_tensor_parameter_202: class Program_weight_tensor_parameter_203: name = "parameter_203" + original_name = "conv2d_66.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.314123") @@ -2156,6 +2360,7 @@ class Program_weight_tensor_parameter_203: class Program_weight_tensor_parameter_204: name = "parameter_204" + original_name = "batch_norm2d_61.b_0" shape = [160] dtype = "float32" min_val = float("-0.824725") @@ -2167,6 +2372,7 @@ class Program_weight_tensor_parameter_204: class Program_weight_tensor_parameter_205: name = "parameter_205" + original_name = "batch_norm2d_61.w_0" shape = [160] dtype = "float32" min_val = float("0.501982") @@ -2178,6 +2384,7 @@ class Program_weight_tensor_parameter_205: class Program_weight_tensor_parameter_206: name = "parameter_206" + original_name = "batch_norm2d_61.w_2" shape = [160] dtype = "float32" min_val = float("0.0800728") @@ -2189,6 +2396,7 @@ class Program_weight_tensor_parameter_206: class Program_weight_tensor_parameter_207: name = "parameter_207" + original_name = "batch_norm2d_61.w_1" shape = [160] dtype = "float32" min_val = float("-1.28736") @@ -2200,6 +2408,7 @@ class Program_weight_tensor_parameter_207: class Program_weight_tensor_parameter_208: name = "parameter_208" + original_name = "conv2d_65.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.576585") @@ -2211,6 +2420,7 @@ class Program_weight_tensor_parameter_208: class Program_weight_tensor_parameter_209: name = "parameter_209" + original_name = "batch_norm2d_60.b_0" shape = [160] dtype = "float32" min_val = float("-0.452338") @@ -2222,6 +2432,7 @@ class Program_weight_tensor_parameter_209: class Program_weight_tensor_parameter_210: name = "parameter_210" + original_name = "batch_norm2d_60.w_0" shape = [160] dtype = "float32" min_val = float("0.494652") @@ -2233,6 +2444,7 @@ class Program_weight_tensor_parameter_210: class Program_weight_tensor_parameter_211: name = "parameter_211" + original_name = "batch_norm2d_60.w_2" shape = [160] dtype = "float32" min_val = float("0.000334752") @@ -2244,6 +2456,7 @@ class Program_weight_tensor_parameter_211: class Program_weight_tensor_parameter_212: name = "parameter_212" + original_name = "batch_norm2d_60.w_1" shape = [160] dtype = "float32" min_val = float("-0.502907") @@ -2255,6 +2468,7 @@ class Program_weight_tensor_parameter_212: class Program_weight_tensor_parameter_213: name = "parameter_213" + original_name = "conv2d_64.w_0" shape = [160, 1, 5, 5] dtype = "float32" min_val = float("-0.526094") @@ -2266,6 +2480,7 @@ class Program_weight_tensor_parameter_213: class Program_weight_tensor_parameter_214: name = "parameter_214" + original_name = "batch_norm2d_59.b_0" shape = [160] dtype = "float32" min_val = float("-1.34124") @@ -2277,6 +2492,7 @@ class Program_weight_tensor_parameter_214: class Program_weight_tensor_parameter_215: name = "parameter_215" + original_name = "batch_norm2d_59.w_0" shape = [160] dtype = "float32" min_val = float("0.073236") @@ -2288,6 +2504,7 @@ class Program_weight_tensor_parameter_215: class Program_weight_tensor_parameter_216: name = "parameter_216" + original_name = "batch_norm2d_59.w_2" shape = [160] dtype = "float32" min_val = float("0.0495117") @@ -2299,6 +2516,7 @@ class Program_weight_tensor_parameter_216: class Program_weight_tensor_parameter_217: name = "parameter_217" + original_name = "batch_norm2d_59.w_1" shape = [160] dtype = "float32" min_val = float("-0.898305") @@ -2310,6 +2528,7 @@ class Program_weight_tensor_parameter_217: class Program_weight_tensor_parameter_218: name = "parameter_218" + original_name = "conv2d_63.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.474326") @@ -2321,6 +2540,7 @@ class Program_weight_tensor_parameter_218: class Program_weight_tensor_parameter_219: name = "parameter_219" + original_name = "batch_norm2d_58.b_0" shape = [160] dtype = "float32" min_val = float("-0.715354") @@ -2332,6 +2552,7 @@ class Program_weight_tensor_parameter_219: class Program_weight_tensor_parameter_220: name = "parameter_220" + original_name = "batch_norm2d_58.w_0" shape = [160] dtype = "float32" min_val = float("0.480687") @@ -2343,6 +2564,7 @@ class Program_weight_tensor_parameter_220: class Program_weight_tensor_parameter_221: name = "parameter_221" + original_name = "batch_norm2d_58.w_2" shape = [160] dtype = "float32" min_val = float("0.000587828") @@ -2354,6 +2576,7 @@ class Program_weight_tensor_parameter_221: class Program_weight_tensor_parameter_222: name = "parameter_222" + original_name = "batch_norm2d_58.w_1" shape = [160] dtype = "float32" min_val = float("-0.466902") @@ -2365,6 +2588,7 @@ class Program_weight_tensor_parameter_222: class Program_weight_tensor_parameter_223: name = "parameter_223" + original_name = "conv2d_62.w_0" shape = [160, 1, 5, 5] dtype = "float32" min_val = float("-0.241124") @@ -2376,6 +2600,7 @@ class Program_weight_tensor_parameter_223: class Program_weight_tensor_parameter_224: name = "parameter_224" + original_name = "batch_norm2d_57.b_0" shape = [160] dtype = "float32" min_val = float("-1.10968") @@ -2387,6 +2612,7 @@ class Program_weight_tensor_parameter_224: class Program_weight_tensor_parameter_225: name = "parameter_225" + original_name = "batch_norm2d_57.w_0" shape = [160] dtype = "float32" min_val = float("0.226811") @@ -2398,6 +2624,7 @@ class Program_weight_tensor_parameter_225: class Program_weight_tensor_parameter_226: name = "parameter_226" + original_name = "batch_norm2d_57.w_2" shape = [160] dtype = "float32" min_val = float("0.0800117") @@ -2409,6 +2636,7 @@ class Program_weight_tensor_parameter_226: class Program_weight_tensor_parameter_227: name = "parameter_227" + original_name = "batch_norm2d_57.w_1" shape = [160] dtype = "float32" min_val = float("-0.700852") @@ -2420,6 +2648,7 @@ class Program_weight_tensor_parameter_227: class Program_weight_tensor_parameter_228: name = "parameter_228" + original_name = "conv2d_61.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.347452") @@ -2431,6 +2660,7 @@ class Program_weight_tensor_parameter_228: class Program_weight_tensor_parameter_229: name = "parameter_229" + original_name = "batch_norm2d_56.b_0" shape = [160] dtype = "float32" min_val = float("-0.634156") @@ -2442,6 +2672,7 @@ class Program_weight_tensor_parameter_229: class Program_weight_tensor_parameter_230: name = "parameter_230" + original_name = "batch_norm2d_56.w_0" shape = [160] dtype = "float32" min_val = float("0.516477") @@ -2453,6 +2684,7 @@ class Program_weight_tensor_parameter_230: class Program_weight_tensor_parameter_231: name = "parameter_231" + original_name = "batch_norm2d_56.w_2" shape = [160] dtype = "float32" min_val = float("0.000686602") @@ -2464,6 +2696,7 @@ class Program_weight_tensor_parameter_231: class Program_weight_tensor_parameter_232: name = "parameter_232" + original_name = "batch_norm2d_56.w_1" shape = [160] dtype = "float32" min_val = float("-0.340383") @@ -2475,6 +2708,7 @@ class Program_weight_tensor_parameter_232: class Program_weight_tensor_parameter_233: name = "parameter_233" + original_name = "conv2d_60.w_0" shape = [160, 1, 5, 5] dtype = "float32" min_val = float("-0.255099") @@ -2486,6 +2720,7 @@ class Program_weight_tensor_parameter_233: class Program_weight_tensor_parameter_234: name = "parameter_234" + original_name = "batch_norm2d_55.b_0" shape = [160] dtype = "float32" min_val = float("-0.814932") @@ -2497,6 +2732,7 @@ class Program_weight_tensor_parameter_234: class Program_weight_tensor_parameter_235: name = "parameter_235" + original_name = "batch_norm2d_55.w_0" shape = [160] dtype = "float32" min_val = float("0.085747") @@ -2508,6 +2744,7 @@ class Program_weight_tensor_parameter_235: class Program_weight_tensor_parameter_236: name = "parameter_236" + original_name = "batch_norm2d_55.w_2" shape = [160] dtype = "float32" min_val = float("0.0790936") @@ -2519,6 +2756,7 @@ class Program_weight_tensor_parameter_236: class Program_weight_tensor_parameter_237: name = "parameter_237" + original_name = "batch_norm2d_55.w_1" shape = [160] dtype = "float32" min_val = float("-0.996393") @@ -2530,6 +2768,7 @@ class Program_weight_tensor_parameter_237: class Program_weight_tensor_parameter_238: name = "parameter_238" + original_name = "conv2d_59.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.370219") @@ -2541,6 +2780,7 @@ class Program_weight_tensor_parameter_238: class Program_weight_tensor_parameter_239: name = "parameter_239" + original_name = "batch_norm2d_54.b_0" shape = [160] dtype = "float32" min_val = float("-0.297084") @@ -2552,6 +2792,7 @@ class Program_weight_tensor_parameter_239: class Program_weight_tensor_parameter_240: name = "parameter_240" + original_name = "batch_norm2d_54.w_0" shape = [160] dtype = "float32" min_val = float("0.535512") @@ -2563,6 +2804,7 @@ class Program_weight_tensor_parameter_240: class Program_weight_tensor_parameter_241: name = "parameter_241" + original_name = "batch_norm2d_54.w_2" shape = [160] dtype = "float32" min_val = float("0.00114844") @@ -2574,6 +2816,7 @@ class Program_weight_tensor_parameter_241: class Program_weight_tensor_parameter_242: name = "parameter_242" + original_name = "batch_norm2d_54.w_1" shape = [160] dtype = "float32" min_val = float("-0.297837") @@ -2585,6 +2828,7 @@ class Program_weight_tensor_parameter_242: class Program_weight_tensor_parameter_243: name = "parameter_243" + original_name = "conv2d_58.w_0" shape = [160, 1, 5, 5] dtype = "float32" min_val = float("-0.371922") @@ -2596,6 +2840,7 @@ class Program_weight_tensor_parameter_243: class Program_weight_tensor_parameter_244: name = "parameter_244" + original_name = "batch_norm2d_33.b_0" shape = [160] dtype = "float32" min_val = float("-0.0776264") @@ -2607,6 +2852,7 @@ class Program_weight_tensor_parameter_244: class Program_weight_tensor_parameter_245: name = "parameter_245" + original_name = "batch_norm2d_33.w_0" shape = [160] dtype = "float32" min_val = float("0.0222149") @@ -2618,6 +2864,7 @@ class Program_weight_tensor_parameter_245: class Program_weight_tensor_parameter_246: name = "parameter_246" + original_name = "batch_norm2d_33.w_2" shape = [160] dtype = "float32" min_val = float("0.000383356") @@ -2629,6 +2876,7 @@ class Program_weight_tensor_parameter_246: class Program_weight_tensor_parameter_247: name = "parameter_247" + original_name = "batch_norm2d_33.w_1" shape = [160] dtype = "float32" min_val = float("-0.0235314") @@ -2640,6 +2888,7 @@ class Program_weight_tensor_parameter_247: class Program_weight_tensor_parameter_248: name = "parameter_248" + original_name = "conv2d_37.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.275386") @@ -2651,6 +2900,7 @@ class Program_weight_tensor_parameter_248: class Program_weight_tensor_parameter_249: name = "parameter_249" + original_name = "batch_norm2d_32.b_0" shape = [160] dtype = "float32" min_val = float("-0.274203") @@ -2662,6 +2912,7 @@ class Program_weight_tensor_parameter_249: class Program_weight_tensor_parameter_250: name = "parameter_250" + original_name = "batch_norm2d_32.w_0" shape = [160] dtype = "float32" min_val = float("0.0556747") @@ -2673,6 +2924,7 @@ class Program_weight_tensor_parameter_250: class Program_weight_tensor_parameter_251: name = "parameter_251" + original_name = "batch_norm2d_32.w_2" shape = [160] dtype = "float32" min_val = float("0.000754285") @@ -2684,6 +2936,7 @@ class Program_weight_tensor_parameter_251: class Program_weight_tensor_parameter_252: name = "parameter_252" + original_name = "batch_norm2d_32.w_1" shape = [160] dtype = "float32" min_val = float("-0.294575") @@ -2695,6 +2948,7 @@ class Program_weight_tensor_parameter_252: class Program_weight_tensor_parameter_253: name = "parameter_253" + original_name = "conv2d_36.w_0" shape = [160, 1, 5, 5] dtype = "float32" min_val = float("-0.160648") @@ -2706,6 +2960,7 @@ class Program_weight_tensor_parameter_253: class Program_weight_tensor_parameter_254: name = "parameter_254" + original_name = "batch_norm2d_31.b_0" shape = [160] dtype = "float32" min_val = float("-0.102693") @@ -2717,6 +2972,7 @@ class Program_weight_tensor_parameter_254: class Program_weight_tensor_parameter_255: name = "parameter_255" + original_name = "batch_norm2d_31.w_0" shape = [160] dtype = "float32" min_val = float("-0.00393416") @@ -2728,6 +2984,7 @@ class Program_weight_tensor_parameter_255: class Program_weight_tensor_parameter_256: name = "parameter_256" + original_name = "batch_norm2d_31.w_2" shape = [160] dtype = "float32" min_val = float("0.000100489") @@ -2739,6 +2996,7 @@ class Program_weight_tensor_parameter_256: class Program_weight_tensor_parameter_257: name = "parameter_257" + original_name = "batch_norm2d_31.w_1" shape = [160] dtype = "float32" min_val = float("-0.0145607") @@ -2750,6 +3008,7 @@ class Program_weight_tensor_parameter_257: class Program_weight_tensor_parameter_258: name = "parameter_258" + original_name = "conv2d_35.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.375548") @@ -2761,6 +3020,7 @@ class Program_weight_tensor_parameter_258: class Program_weight_tensor_parameter_259: name = "parameter_259" + original_name = "batch_norm2d_30.b_0" shape = [160] dtype = "float32" min_val = float("-0.257622") @@ -2772,6 +3032,7 @@ class Program_weight_tensor_parameter_259: class Program_weight_tensor_parameter_260: name = "parameter_260" + original_name = "batch_norm2d_30.w_0" shape = [160] dtype = "float32" min_val = float("0.0455946") @@ -2783,6 +3044,7 @@ class Program_weight_tensor_parameter_260: class Program_weight_tensor_parameter_261: name = "parameter_261" + original_name = "batch_norm2d_30.w_2" shape = [160] dtype = "float32" min_val = float("1.21676e-05") @@ -2794,6 +3056,7 @@ class Program_weight_tensor_parameter_261: class Program_weight_tensor_parameter_262: name = "parameter_262" + original_name = "batch_norm2d_30.w_1" shape = [160] dtype = "float32" min_val = float("-0.042219") @@ -2805,6 +3068,7 @@ class Program_weight_tensor_parameter_262: class Program_weight_tensor_parameter_263: name = "parameter_263" + original_name = "conv2d_34.w_0" shape = [160, 1, 5, 5] dtype = "float32" min_val = float("-0.108871") @@ -2816,6 +3080,7 @@ class Program_weight_tensor_parameter_263: class Program_weight_tensor_parameter_264: name = "parameter_264" + original_name = "batch_norm2d_53.b_0" shape = [160] dtype = "float32" min_val = float("-1.52748") @@ -2827,6 +3092,7 @@ class Program_weight_tensor_parameter_264: class Program_weight_tensor_parameter_265: name = "parameter_265" + original_name = "batch_norm2d_53.w_0" shape = [160] dtype = "float32" min_val = float("0.111607") @@ -2838,6 +3104,7 @@ class Program_weight_tensor_parameter_265: class Program_weight_tensor_parameter_266: name = "parameter_266" + original_name = "batch_norm2d_53.w_2" shape = [160] dtype = "float32" min_val = float("0.108642") @@ -2849,6 +3116,7 @@ class Program_weight_tensor_parameter_266: class Program_weight_tensor_parameter_267: name = "parameter_267" + original_name = "batch_norm2d_53.w_1" shape = [160] dtype = "float32" min_val = float("-0.48161") @@ -2860,6 +3128,7 @@ class Program_weight_tensor_parameter_267: class Program_weight_tensor_parameter_268: name = "parameter_268" + original_name = "conv2d_57.w_0" shape = [160, 320, 1, 1] dtype = "float32" min_val = float("-0.346783") @@ -2871,6 +3140,7 @@ class Program_weight_tensor_parameter_268: class Program_weight_tensor_parameter_269: name = "parameter_269" + original_name = "batch_norm2d_52.b_0" shape = [320] dtype = "float32" min_val = float("-0.675588") @@ -2882,6 +3152,7 @@ class Program_weight_tensor_parameter_269: class Program_weight_tensor_parameter_270: name = "parameter_270" + original_name = "batch_norm2d_52.w_0" shape = [320] dtype = "float32" min_val = float("0.703317") @@ -2893,6 +3164,7 @@ class Program_weight_tensor_parameter_270: class Program_weight_tensor_parameter_271: name = "parameter_271" + original_name = "batch_norm2d_52.w_2" shape = [320] dtype = "float32" min_val = float("0.00646518") @@ -2904,6 +3176,7 @@ class Program_weight_tensor_parameter_271: class Program_weight_tensor_parameter_272: name = "parameter_272" + original_name = "batch_norm2d_52.w_1" shape = [320] dtype = "float32" min_val = float("-0.237349") @@ -2915,6 +3188,7 @@ class Program_weight_tensor_parameter_272: class Program_weight_tensor_parameter_273: name = "parameter_273" + original_name = "conv2d_56.w_0" shape = [320, 1, 5, 5] dtype = "float32" min_val = float("-0.21214") @@ -2926,6 +3200,7 @@ class Program_weight_tensor_parameter_273: class Program_weight_tensor_parameter_274: name = "parameter_274" + original_name = "batch_norm2d_51.b_0" shape = [320] dtype = "float32" min_val = float("-1.02069") @@ -2937,6 +3212,7 @@ class Program_weight_tensor_parameter_274: class Program_weight_tensor_parameter_275: name = "parameter_275" + original_name = "batch_norm2d_51.w_0" shape = [320] dtype = "float32" min_val = float("0.581053") @@ -2948,6 +3224,7 @@ class Program_weight_tensor_parameter_275: class Program_weight_tensor_parameter_276: name = "parameter_276" + original_name = "batch_norm2d_51.w_2" shape = [320] dtype = "float32" min_val = float("0.0972238") @@ -2959,6 +3236,7 @@ class Program_weight_tensor_parameter_276: class Program_weight_tensor_parameter_277: name = "parameter_277" + original_name = "batch_norm2d_51.w_1" shape = [320] dtype = "float32" min_val = float("-0.79971") @@ -2970,6 +3248,7 @@ class Program_weight_tensor_parameter_277: class Program_weight_tensor_parameter_278: name = "parameter_278" + original_name = "conv2d_55.w_0" shape = [320, 320, 1, 1] dtype = "float32" min_val = float("-0.372283") @@ -2981,6 +3260,7 @@ class Program_weight_tensor_parameter_278: class Program_weight_tensor_parameter_279: name = "parameter_279" + original_name = "batch_norm2d_50.b_0" shape = [320] dtype = "float32" min_val = float("-1.061") @@ -2992,6 +3272,7 @@ class Program_weight_tensor_parameter_279: class Program_weight_tensor_parameter_280: name = "parameter_280" + original_name = "batch_norm2d_50.w_0" shape = [320] dtype = "float32" min_val = float("0.573958") @@ -3003,6 +3284,7 @@ class Program_weight_tensor_parameter_280: class Program_weight_tensor_parameter_281: name = "parameter_281" + original_name = "batch_norm2d_50.w_2" shape = [320] dtype = "float32" min_val = float("4.7199e-05") @@ -3014,6 +3296,7 @@ class Program_weight_tensor_parameter_281: class Program_weight_tensor_parameter_282: name = "parameter_282" + original_name = "batch_norm2d_50.w_1" shape = [320] dtype = "float32" min_val = float("-0.0567058") @@ -3025,6 +3308,7 @@ class Program_weight_tensor_parameter_282: class Program_weight_tensor_parameter_283: name = "parameter_283" + original_name = "conv2d_54.w_0" shape = [320, 1, 5, 5] dtype = "float32" min_val = float("-0.307453") @@ -3036,6 +3320,7 @@ class Program_weight_tensor_parameter_283: class Program_weight_tensor_parameter_284: name = "parameter_284" + original_name = "batch_norm2d_49.b_0" shape = [160] dtype = "float32" min_val = float("-0.0797481") @@ -3047,6 +3332,7 @@ class Program_weight_tensor_parameter_284: class Program_weight_tensor_parameter_285: name = "parameter_285" + original_name = "batch_norm2d_49.w_0" shape = [160] dtype = "float32" min_val = float("0.0520047") @@ -3058,6 +3344,7 @@ class Program_weight_tensor_parameter_285: class Program_weight_tensor_parameter_286: name = "parameter_286" + original_name = "batch_norm2d_49.w_2" shape = [160] dtype = "float32" min_val = float("0.000863668") @@ -3069,6 +3356,7 @@ class Program_weight_tensor_parameter_286: class Program_weight_tensor_parameter_287: name = "parameter_287" + original_name = "batch_norm2d_49.w_1" shape = [160] dtype = "float32" min_val = float("-0.0262194") @@ -3080,6 +3368,7 @@ class Program_weight_tensor_parameter_287: class Program_weight_tensor_parameter_288: name = "parameter_288" + original_name = "conv2d_53.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.31709") @@ -3091,6 +3380,7 @@ class Program_weight_tensor_parameter_288: class Program_weight_tensor_parameter_289: name = "parameter_289" + original_name = "batch_norm2d_48.b_0" shape = [160] dtype = "float32" min_val = float("-0.219785") @@ -3102,6 +3392,7 @@ class Program_weight_tensor_parameter_289: class Program_weight_tensor_parameter_290: name = "parameter_290" + original_name = "batch_norm2d_48.w_0" shape = [160] dtype = "float32" min_val = float("0.0410941") @@ -3113,6 +3404,7 @@ class Program_weight_tensor_parameter_290: class Program_weight_tensor_parameter_291: name = "parameter_291" + original_name = "batch_norm2d_48.w_2" shape = [160] dtype = "float32" min_val = float("0.000551964") @@ -3124,6 +3416,7 @@ class Program_weight_tensor_parameter_291: class Program_weight_tensor_parameter_292: name = "parameter_292" + original_name = "batch_norm2d_48.w_1" shape = [160] dtype = "float32" min_val = float("-0.49201") @@ -3135,6 +3428,7 @@ class Program_weight_tensor_parameter_292: class Program_weight_tensor_parameter_293: name = "parameter_293" + original_name = "conv2d_52.w_0" shape = [160, 1, 5, 5] dtype = "float32" min_val = float("-0.205028") @@ -3146,6 +3440,7 @@ class Program_weight_tensor_parameter_293: class Program_weight_tensor_parameter_294: name = "parameter_294" + original_name = "batch_norm2d_47.b_0" shape = [160] dtype = "float32" min_val = float("-1.34914") @@ -3157,6 +3452,7 @@ class Program_weight_tensor_parameter_294: class Program_weight_tensor_parameter_295: name = "parameter_295" + original_name = "batch_norm2d_47.w_0" shape = [160] dtype = "float32" min_val = float("0.128997") @@ -3168,6 +3464,7 @@ class Program_weight_tensor_parameter_295: class Program_weight_tensor_parameter_296: name = "parameter_296" + original_name = "batch_norm2d_47.w_2" shape = [160] dtype = "float32" min_val = float("0.149157") @@ -3179,6 +3476,7 @@ class Program_weight_tensor_parameter_296: class Program_weight_tensor_parameter_297: name = "parameter_297" + original_name = "batch_norm2d_47.w_1" shape = [160] dtype = "float32" min_val = float("-0.630963") @@ -3190,6 +3488,7 @@ class Program_weight_tensor_parameter_297: class Program_weight_tensor_parameter_298: name = "parameter_298" + original_name = "conv2d_51.w_0" shape = [160, 320, 1, 1] dtype = "float32" min_val = float("-0.355558") @@ -3201,6 +3500,7 @@ class Program_weight_tensor_parameter_298: class Program_weight_tensor_parameter_299: name = "parameter_299" + original_name = "batch_norm2d_46.b_0" shape = [320] dtype = "float32" min_val = float("-0.525227") @@ -3212,6 +3512,7 @@ class Program_weight_tensor_parameter_299: class Program_weight_tensor_parameter_300: name = "parameter_300" + original_name = "batch_norm2d_46.w_0" shape = [320] dtype = "float32" min_val = float("0.621528") @@ -3223,6 +3524,7 @@ class Program_weight_tensor_parameter_300: class Program_weight_tensor_parameter_301: name = "parameter_301" + original_name = "batch_norm2d_46.w_2" shape = [320] dtype = "float32" min_val = float("0.00609398") @@ -3234,6 +3536,7 @@ class Program_weight_tensor_parameter_301: class Program_weight_tensor_parameter_302: name = "parameter_302" + original_name = "batch_norm2d_46.w_1" shape = [320] dtype = "float32" min_val = float("-0.276445") @@ -3245,6 +3548,7 @@ class Program_weight_tensor_parameter_302: class Program_weight_tensor_parameter_303: name = "parameter_303" + original_name = "conv2d_50.w_0" shape = [320, 1, 5, 5] dtype = "float32" min_val = float("-0.265965") @@ -3256,6 +3560,7 @@ class Program_weight_tensor_parameter_303: class Program_weight_tensor_parameter_304: name = "parameter_304" + original_name = "batch_norm2d_45.b_0" shape = [320] dtype = "float32" min_val = float("-0.969368") @@ -3267,6 +3572,7 @@ class Program_weight_tensor_parameter_304: class Program_weight_tensor_parameter_305: name = "parameter_305" + original_name = "batch_norm2d_45.w_0" shape = [320] dtype = "float32" min_val = float("0.698841") @@ -3278,6 +3584,7 @@ class Program_weight_tensor_parameter_305: class Program_weight_tensor_parameter_306: name = "parameter_306" + original_name = "batch_norm2d_45.w_2" shape = [320] dtype = "float32" min_val = float("0.140436") @@ -3289,6 +3596,7 @@ class Program_weight_tensor_parameter_306: class Program_weight_tensor_parameter_307: name = "parameter_307" + original_name = "batch_norm2d_45.w_1" shape = [320] dtype = "float32" min_val = float("-0.630099") @@ -3300,6 +3608,7 @@ class Program_weight_tensor_parameter_307: class Program_weight_tensor_parameter_308: name = "parameter_308" + original_name = "conv2d_49.w_0" shape = [320, 320, 1, 1] dtype = "float32" min_val = float("-0.326178") @@ -3311,6 +3620,7 @@ class Program_weight_tensor_parameter_308: class Program_weight_tensor_parameter_309: name = "parameter_309" + original_name = "batch_norm2d_44.b_0" shape = [320] dtype = "float32" min_val = float("-0.888987") @@ -3322,6 +3632,7 @@ class Program_weight_tensor_parameter_309: class Program_weight_tensor_parameter_310: name = "parameter_310" + original_name = "batch_norm2d_44.w_0" shape = [320] dtype = "float32" min_val = float("0.591745") @@ -3333,6 +3644,7 @@ class Program_weight_tensor_parameter_310: class Program_weight_tensor_parameter_311: name = "parameter_311" + original_name = "batch_norm2d_44.w_2" shape = [320] dtype = "float32" min_val = float("6.33877e-05") @@ -3344,6 +3656,7 @@ class Program_weight_tensor_parameter_311: class Program_weight_tensor_parameter_312: name = "parameter_312" + original_name = "batch_norm2d_44.w_1" shape = [320] dtype = "float32" min_val = float("-0.317697") @@ -3355,6 +3668,7 @@ class Program_weight_tensor_parameter_312: class Program_weight_tensor_parameter_313: name = "parameter_313" + original_name = "conv2d_48.w_0" shape = [320, 1, 5, 5] dtype = "float32" min_val = float("-0.431316") @@ -3366,6 +3680,7 @@ class Program_weight_tensor_parameter_313: class Program_weight_tensor_parameter_314: name = "parameter_314" + original_name = "batch_norm2d_43.b_0" shape = [160] dtype = "float32" min_val = float("-0.232954") @@ -3377,6 +3692,7 @@ class Program_weight_tensor_parameter_314: class Program_weight_tensor_parameter_315: name = "parameter_315" + original_name = "batch_norm2d_43.w_0" shape = [160] dtype = "float32" min_val = float("0.0392057") @@ -3388,6 +3704,7 @@ class Program_weight_tensor_parameter_315: class Program_weight_tensor_parameter_316: name = "parameter_316" + original_name = "batch_norm2d_43.w_2" shape = [160] dtype = "float32" min_val = float("0.00111982") @@ -3399,6 +3716,7 @@ class Program_weight_tensor_parameter_316: class Program_weight_tensor_parameter_317: name = "parameter_317" + original_name = "batch_norm2d_43.w_1" shape = [160] dtype = "float32" min_val = float("-0.0513773") @@ -3410,6 +3728,7 @@ class Program_weight_tensor_parameter_317: class Program_weight_tensor_parameter_318: name = "parameter_318" + original_name = "conv2d_47.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.398665") @@ -3421,6 +3740,7 @@ class Program_weight_tensor_parameter_318: class Program_weight_tensor_parameter_319: name = "parameter_319" + original_name = "batch_norm2d_42.b_0" shape = [160] dtype = "float32" min_val = float("-0.459841") @@ -3432,6 +3752,7 @@ class Program_weight_tensor_parameter_319: class Program_weight_tensor_parameter_320: name = "parameter_320" + original_name = "batch_norm2d_42.w_0" shape = [160] dtype = "float32" min_val = float("0.0745243") @@ -3443,6 +3764,7 @@ class Program_weight_tensor_parameter_320: class Program_weight_tensor_parameter_321: name = "parameter_321" + original_name = "batch_norm2d_42.w_2" shape = [160] dtype = "float32" min_val = float("0.00108003") @@ -3454,6 +3776,7 @@ class Program_weight_tensor_parameter_321: class Program_weight_tensor_parameter_322: name = "parameter_322" + original_name = "batch_norm2d_42.w_1" shape = [160] dtype = "float32" min_val = float("-0.54725") @@ -3465,6 +3788,7 @@ class Program_weight_tensor_parameter_322: class Program_weight_tensor_parameter_323: name = "parameter_323" + original_name = "conv2d_46.w_0" shape = [160, 1, 5, 5] dtype = "float32" min_val = float("-0.264091") @@ -3476,6 +3800,7 @@ class Program_weight_tensor_parameter_323: class Program_weight_tensor_parameter_324: name = "parameter_324" + original_name = "batch_norm2d_41.b_0" shape = [160] dtype = "float32" min_val = float("-1.50543") @@ -3487,6 +3812,7 @@ class Program_weight_tensor_parameter_324: class Program_weight_tensor_parameter_325: name = "parameter_325" + original_name = "batch_norm2d_41.w_0" shape = [160] dtype = "float32" min_val = float("0.170087") @@ -3498,6 +3824,7 @@ class Program_weight_tensor_parameter_325: class Program_weight_tensor_parameter_326: name = "parameter_326" + original_name = "batch_norm2d_41.w_2" shape = [160] dtype = "float32" min_val = float("0.15311") @@ -3509,6 +3836,7 @@ class Program_weight_tensor_parameter_326: class Program_weight_tensor_parameter_327: name = "parameter_327" + original_name = "batch_norm2d_41.w_1" shape = [160] dtype = "float32" min_val = float("-0.860006") @@ -3520,6 +3848,7 @@ class Program_weight_tensor_parameter_327: class Program_weight_tensor_parameter_328: name = "parameter_328" + original_name = "conv2d_45.w_0" shape = [160, 320, 1, 1] dtype = "float32" min_val = float("-0.491868") @@ -3531,6 +3860,7 @@ class Program_weight_tensor_parameter_328: class Program_weight_tensor_parameter_329: name = "parameter_329" + original_name = "batch_norm2d_40.b_0" shape = [320] dtype = "float32" min_val = float("-1.20321") @@ -3542,6 +3872,7 @@ class Program_weight_tensor_parameter_329: class Program_weight_tensor_parameter_330: name = "parameter_330" + original_name = "batch_norm2d_40.w_0" shape = [320] dtype = "float32" min_val = float("0.504597") @@ -3553,6 +3884,7 @@ class Program_weight_tensor_parameter_330: class Program_weight_tensor_parameter_331: name = "parameter_331" + original_name = "batch_norm2d_40.w_2" shape = [320] dtype = "float32" min_val = float("0.000648541") @@ -3564,6 +3896,7 @@ class Program_weight_tensor_parameter_331: class Program_weight_tensor_parameter_332: name = "parameter_332" + original_name = "batch_norm2d_40.w_1" shape = [320] dtype = "float32" min_val = float("-0.4102") @@ -3575,6 +3908,7 @@ class Program_weight_tensor_parameter_332: class Program_weight_tensor_parameter_333: name = "parameter_333" + original_name = "conv2d_44.w_0" shape = [320, 1, 5, 5] dtype = "float32" min_val = float("-0.40733") @@ -3586,6 +3920,7 @@ class Program_weight_tensor_parameter_333: class Program_weight_tensor_parameter_334: name = "parameter_334" + original_name = "batch_norm2d_39.b_0" shape = [320] dtype = "float32" min_val = float("-1.5156") @@ -3597,6 +3932,7 @@ class Program_weight_tensor_parameter_334: class Program_weight_tensor_parameter_335: name = "parameter_335" + original_name = "batch_norm2d_39.w_0" shape = [320] dtype = "float32" min_val = float("0.198958") @@ -3608,6 +3944,7 @@ class Program_weight_tensor_parameter_335: class Program_weight_tensor_parameter_336: name = "parameter_336" + original_name = "batch_norm2d_39.w_2" shape = [320] dtype = "float32" min_val = float("0.180136") @@ -3619,6 +3956,7 @@ class Program_weight_tensor_parameter_336: class Program_weight_tensor_parameter_337: name = "parameter_337" + original_name = "batch_norm2d_39.w_1" shape = [320] dtype = "float32" min_val = float("-1.36426") @@ -3630,6 +3968,7 @@ class Program_weight_tensor_parameter_337: class Program_weight_tensor_parameter_338: name = "parameter_338" + original_name = "conv2d_43.w_0" shape = [320, 320, 1, 1] dtype = "float32" min_val = float("-0.433226") @@ -3641,6 +3980,7 @@ class Program_weight_tensor_parameter_338: class Program_weight_tensor_parameter_339: name = "parameter_339" + original_name = "batch_norm2d_38.b_0" shape = [320] dtype = "float32" min_val = float("-0.701698") @@ -3652,6 +3992,7 @@ class Program_weight_tensor_parameter_339: class Program_weight_tensor_parameter_340: name = "parameter_340" + original_name = "batch_norm2d_38.w_0" shape = [320] dtype = "float32" min_val = float("0.524064") @@ -3663,6 +4004,7 @@ class Program_weight_tensor_parameter_340: class Program_weight_tensor_parameter_341: name = "parameter_341" + original_name = "batch_norm2d_38.w_2" shape = [320] dtype = "float32" min_val = float("6.55891e-05") @@ -3674,6 +4016,7 @@ class Program_weight_tensor_parameter_341: class Program_weight_tensor_parameter_342: name = "parameter_342" + original_name = "batch_norm2d_38.w_1" shape = [320] dtype = "float32" min_val = float("-0.657085") @@ -3685,6 +4028,7 @@ class Program_weight_tensor_parameter_342: class Program_weight_tensor_parameter_343: name = "parameter_343" + original_name = "conv2d_42.w_0" shape = [320, 1, 5, 5] dtype = "float32" min_val = float("-0.464137") @@ -3696,6 +4040,7 @@ class Program_weight_tensor_parameter_343: class Program_weight_tensor_parameter_344: name = "parameter_344" + original_name = "batch_norm2d_37.b_0" shape = [160] dtype = "float32" min_val = float("-0.608429") @@ -3707,6 +4052,7 @@ class Program_weight_tensor_parameter_344: class Program_weight_tensor_parameter_345: name = "parameter_345" + original_name = "batch_norm2d_37.w_0" shape = [160] dtype = "float32" min_val = float("0.206021") @@ -3718,6 +4064,7 @@ class Program_weight_tensor_parameter_345: class Program_weight_tensor_parameter_346: name = "parameter_346" + original_name = "batch_norm2d_37.w_2" shape = [160] dtype = "float32" min_val = float("0.299854") @@ -3729,6 +4076,7 @@ class Program_weight_tensor_parameter_346: class Program_weight_tensor_parameter_347: name = "parameter_347" + original_name = "batch_norm2d_37.w_1" shape = [160] dtype = "float32" min_val = float("-0.879604") @@ -3740,6 +4088,7 @@ class Program_weight_tensor_parameter_347: class Program_weight_tensor_parameter_348: name = "parameter_348" + original_name = "conv2d_41.w_0" shape = [160, 320, 1, 1] dtype = "float32" min_val = float("-0.360979") @@ -3751,6 +4100,7 @@ class Program_weight_tensor_parameter_348: class Program_weight_tensor_parameter_349: name = "parameter_349" + original_name = "batch_norm2d_36.b_0" shape = [320] dtype = "float32" min_val = float("-0.737945") @@ -3762,6 +4112,7 @@ class Program_weight_tensor_parameter_349: class Program_weight_tensor_parameter_350: name = "parameter_350" + original_name = "batch_norm2d_36.w_0" shape = [320] dtype = "float32" min_val = float("0.633454") @@ -3773,6 +4124,7 @@ class Program_weight_tensor_parameter_350: class Program_weight_tensor_parameter_351: name = "parameter_351" + original_name = "batch_norm2d_36.w_2" shape = [320] dtype = "float32" min_val = float("0.00437483") @@ -3784,6 +4136,7 @@ class Program_weight_tensor_parameter_351: class Program_weight_tensor_parameter_352: name = "parameter_352" + original_name = "batch_norm2d_36.w_1" shape = [320] dtype = "float32" min_val = float("-0.253492") @@ -3795,6 +4148,7 @@ class Program_weight_tensor_parameter_352: class Program_weight_tensor_parameter_353: name = "parameter_353" + original_name = "conv2d_40.w_0" shape = [320, 1, 5, 5] dtype = "float32" min_val = float("-0.457778") @@ -3806,6 +4160,7 @@ class Program_weight_tensor_parameter_353: class Program_weight_tensor_parameter_354: name = "parameter_354" + original_name = "batch_norm2d_35.b_0" shape = [320] dtype = "float32" min_val = float("-1.02393") @@ -3817,6 +4172,7 @@ class Program_weight_tensor_parameter_354: class Program_weight_tensor_parameter_355: name = "parameter_355" + original_name = "batch_norm2d_35.w_0" shape = [320] dtype = "float32" min_val = float("0.37518") @@ -3828,6 +4184,7 @@ class Program_weight_tensor_parameter_355: class Program_weight_tensor_parameter_356: name = "parameter_356" + original_name = "batch_norm2d_35.w_2" shape = [320] dtype = "float32" min_val = float("0.205656") @@ -3839,6 +4196,7 @@ class Program_weight_tensor_parameter_356: class Program_weight_tensor_parameter_357: name = "parameter_357" + original_name = "batch_norm2d_35.w_1" shape = [320] dtype = "float32" min_val = float("-2.02876") @@ -3850,6 +4208,7 @@ class Program_weight_tensor_parameter_357: class Program_weight_tensor_parameter_358: name = "parameter_358" + original_name = "conv2d_39.w_0" shape = [320, 320, 1, 1] dtype = "float32" min_val = float("-0.326346") @@ -3861,6 +4220,7 @@ class Program_weight_tensor_parameter_358: class Program_weight_tensor_parameter_359: name = "parameter_359" + original_name = "batch_norm2d_34.b_0" shape = [320] dtype = "float32" min_val = float("-1.12876") @@ -3872,6 +4232,7 @@ class Program_weight_tensor_parameter_359: class Program_weight_tensor_parameter_360: name = "parameter_360" + original_name = "batch_norm2d_34.w_0" shape = [320] dtype = "float32" min_val = float("0.708303") @@ -3883,6 +4244,7 @@ class Program_weight_tensor_parameter_360: class Program_weight_tensor_parameter_361: name = "parameter_361" + original_name = "batch_norm2d_34.w_2" shape = [320] dtype = "float32" min_val = float("6.80597e-05") @@ -3894,6 +4256,7 @@ class Program_weight_tensor_parameter_361: class Program_weight_tensor_parameter_362: name = "parameter_362" + original_name = "batch_norm2d_34.w_1" shape = [320] dtype = "float32" min_val = float("-0.0596173") @@ -3905,6 +4268,7 @@ class Program_weight_tensor_parameter_362: class Program_weight_tensor_parameter_363: name = "parameter_363" + original_name = "conv2d_38.w_0" shape = [320, 1, 5, 5] dtype = "float32" min_val = float("-0.516653") @@ -3916,6 +4280,7 @@ class Program_weight_tensor_parameter_363: class Program_weight_tensor_parameter_364: name = "parameter_364" + original_name = "batch_norm2d_29.b_0" shape = [160] dtype = "float32" min_val = float("-0.264621") @@ -3927,6 +4292,7 @@ class Program_weight_tensor_parameter_364: class Program_weight_tensor_parameter_365: name = "parameter_365" + original_name = "batch_norm2d_29.w_0" shape = [160] dtype = "float32" min_val = float("0.0624955") @@ -3938,6 +4304,7 @@ class Program_weight_tensor_parameter_365: class Program_weight_tensor_parameter_366: name = "parameter_366" + original_name = "batch_norm2d_29.w_2" shape = [160] dtype = "float32" min_val = float("1.46386") @@ -3949,6 +4316,7 @@ class Program_weight_tensor_parameter_366: class Program_weight_tensor_parameter_367: name = "parameter_367" + original_name = "batch_norm2d_29.w_1" shape = [160] dtype = "float32" min_val = float("-1.33543") @@ -3960,6 +4328,7 @@ class Program_weight_tensor_parameter_367: class Program_weight_tensor_parameter_368: name = "parameter_368" + original_name = "conv2d_33.w_0" shape = [160, 1024, 1, 1] dtype = "float32" min_val = float("-0.362272") @@ -3971,6 +4340,7 @@ class Program_weight_tensor_parameter_368: class Program_weight_tensor_parameter_369: name = "parameter_369" + original_name = "batch_norm2d_28.b_0" shape = [160] dtype = "float32" min_val = float("-0.106417") @@ -3982,6 +4352,7 @@ class Program_weight_tensor_parameter_369: class Program_weight_tensor_parameter_370: name = "parameter_370" + original_name = "batch_norm2d_28.w_0" shape = [160] dtype = "float32" min_val = float("0.0452014") @@ -3993,6 +4364,7 @@ class Program_weight_tensor_parameter_370: class Program_weight_tensor_parameter_371: name = "parameter_371" + original_name = "batch_norm2d_28.w_2" shape = [160] dtype = "float32" min_val = float("0.0400246") @@ -4004,6 +4376,7 @@ class Program_weight_tensor_parameter_371: class Program_weight_tensor_parameter_372: name = "parameter_372" + original_name = "batch_norm2d_28.w_1" shape = [160] dtype = "float32" min_val = float("-0.693646") @@ -4015,6 +4388,7 @@ class Program_weight_tensor_parameter_372: class Program_weight_tensor_parameter_373: name = "parameter_373" + original_name = "conv2d_32.w_0" shape = [160, 512, 1, 1] dtype = "float32" min_val = float("-0.166546") @@ -4026,6 +4400,7 @@ class Program_weight_tensor_parameter_373: class Program_weight_tensor_parameter_374: name = "parameter_374" + original_name = "batch_norm2d_27.b_0" shape = [160] dtype = "float32" min_val = float("-0.153373") @@ -4037,6 +4412,7 @@ class Program_weight_tensor_parameter_374: class Program_weight_tensor_parameter_375: name = "parameter_375" + original_name = "batch_norm2d_27.w_0" shape = [160] dtype = "float32" min_val = float("-0.057394") @@ -4048,6 +4424,7 @@ class Program_weight_tensor_parameter_375: class Program_weight_tensor_parameter_376: name = "parameter_376" + original_name = "batch_norm2d_27.w_2" shape = [160] dtype = "float32" min_val = float("0.0274508") @@ -4059,6 +4436,7 @@ class Program_weight_tensor_parameter_376: class Program_weight_tensor_parameter_377: name = "parameter_377" + original_name = "batch_norm2d_27.w_1" shape = [160] dtype = "float32" min_val = float("-0.947015") @@ -4070,6 +4448,7 @@ class Program_weight_tensor_parameter_377: class Program_weight_tensor_parameter_378: name = "parameter_378" + original_name = "conv2d_31.w_0" shape = [160, 256, 1, 1] dtype = "float32" min_val = float("-0.270708") @@ -4081,6 +4460,7 @@ class Program_weight_tensor_parameter_378: class Program_weight_tensor_parameter_379: name = "parameter_379" + original_name = "batch_norm2d_26.b_0" shape = [1024] dtype = "float32" min_val = float("-4.59365") @@ -4092,6 +4472,7 @@ class Program_weight_tensor_parameter_379: class Program_weight_tensor_parameter_380: name = "parameter_380" + original_name = "batch_norm2d_26.w_0" shape = [1024] dtype = "float32" min_val = float("1.80101") @@ -4103,6 +4484,7 @@ class Program_weight_tensor_parameter_380: class Program_weight_tensor_parameter_381: name = "parameter_381" + original_name = "batch_norm2d_26.w_2" shape = [1024] dtype = "float32" min_val = float("0.0514259") @@ -4114,6 +4496,7 @@ class Program_weight_tensor_parameter_381: class Program_weight_tensor_parameter_382: name = "parameter_382" + original_name = "batch_norm2d_26.w_1" shape = [1024] dtype = "float32" min_val = float("-0.54475") @@ -4125,6 +4508,7 @@ class Program_weight_tensor_parameter_382: class Program_weight_tensor_parameter_383: name = "parameter_383" + original_name = "conv2d_30.w_0" shape = [1024, 1024, 1, 1] dtype = "float32" min_val = float("-0.26716") @@ -4136,6 +4520,7 @@ class Program_weight_tensor_parameter_383: class Program_weight_tensor_parameter_384: name = "parameter_384" + original_name = "conv2d_29.b_0" shape = [1024] dtype = "float32" min_val = float("-0.0733213") @@ -4147,6 +4532,7 @@ class Program_weight_tensor_parameter_384: class Program_weight_tensor_parameter_385: name = "parameter_385" + original_name = "conv2d_29.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.352913") @@ -4158,6 +4544,7 @@ class Program_weight_tensor_parameter_385: class Program_weight_tensor_parameter_386: name = "parameter_386" + original_name = "conv2d_28.b_0" shape = [256] dtype = "float32" min_val = float("-0.011965") @@ -4169,6 +4556,7 @@ class Program_weight_tensor_parameter_386: class Program_weight_tensor_parameter_387: name = "parameter_387" + original_name = "conv2d_28.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.319719") @@ -4180,6 +4568,7 @@ class Program_weight_tensor_parameter_387: class Program_weight_tensor_parameter_388: name = "parameter_388" + original_name = "batch_norm2d_25.b_0" shape = [1024] dtype = "float32" min_val = float("-4.03939") @@ -4191,6 +4580,7 @@ class Program_weight_tensor_parameter_388: class Program_weight_tensor_parameter_389: name = "parameter_389" + original_name = "batch_norm2d_25.w_0" shape = [1024] dtype = "float32" min_val = float("0.251665") @@ -4202,6 +4592,7 @@ class Program_weight_tensor_parameter_389: class Program_weight_tensor_parameter_390: name = "parameter_390" + original_name = "batch_norm2d_25.w_2" shape = [1024] dtype = "float32" min_val = float("0.000143732") @@ -4213,6 +4604,7 @@ class Program_weight_tensor_parameter_390: class Program_weight_tensor_parameter_391: name = "parameter_391" + original_name = "batch_norm2d_25.w_1" shape = [1024] dtype = "float32" min_val = float("-1.9961") @@ -4224,6 +4616,7 @@ class Program_weight_tensor_parameter_391: class Program_weight_tensor_parameter_392: name = "parameter_392" + original_name = "conv2d_27.w_0" shape = [1024, 1, 5, 5] dtype = "float32" min_val = float("-0.51284") @@ -4235,6 +4628,7 @@ class Program_weight_tensor_parameter_392: class Program_weight_tensor_parameter_393: name = "parameter_393" + original_name = "batch_norm2d_24.b_0" shape = [1024] dtype = "float32" min_val = float("-3.08876") @@ -4246,6 +4640,7 @@ class Program_weight_tensor_parameter_393: class Program_weight_tensor_parameter_394: name = "parameter_394" + original_name = "batch_norm2d_24.w_0" shape = [1024] dtype = "float32" min_val = float("-0.0915281") @@ -4257,6 +4652,7 @@ class Program_weight_tensor_parameter_394: class Program_weight_tensor_parameter_395: name = "parameter_395" + original_name = "batch_norm2d_24.w_2" shape = [1024] dtype = "float32" min_val = float("0.0741839") @@ -4268,6 +4664,7 @@ class Program_weight_tensor_parameter_395: class Program_weight_tensor_parameter_396: name = "parameter_396" + original_name = "batch_norm2d_24.w_1" shape = [1024] dtype = "float32" min_val = float("-0.97736") @@ -4279,6 +4676,7 @@ class Program_weight_tensor_parameter_396: class Program_weight_tensor_parameter_397: name = "parameter_397" + original_name = "conv2d_26.w_0" shape = [1024, 512, 1, 1] dtype = "float32" min_val = float("-0.346654") @@ -4290,6 +4688,7 @@ class Program_weight_tensor_parameter_397: class Program_weight_tensor_parameter_398: name = "parameter_398" + original_name = "conv2d_25.b_0" shape = [512] dtype = "float32" min_val = float("-0.112244") @@ -4301,6 +4700,7 @@ class Program_weight_tensor_parameter_398: class Program_weight_tensor_parameter_399: name = "parameter_399" + original_name = "conv2d_25.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.294725") @@ -4312,6 +4712,7 @@ class Program_weight_tensor_parameter_399: class Program_weight_tensor_parameter_400: name = "parameter_400" + original_name = "conv2d_24.b_0" shape = [128] dtype = "float32" min_val = float("-0.00250126") @@ -4323,6 +4724,7 @@ class Program_weight_tensor_parameter_400: class Program_weight_tensor_parameter_401: name = "parameter_401" + original_name = "conv2d_24.w_0" shape = [128, 512, 1, 1] dtype = "float32" min_val = float("-0.358129") @@ -4334,6 +4736,7 @@ class Program_weight_tensor_parameter_401: class Program_weight_tensor_parameter_402: name = "parameter_402" + original_name = "batch_norm2d_23.b_0" shape = [512] dtype = "float32" min_val = float("-1.41417") @@ -4345,6 +4748,7 @@ class Program_weight_tensor_parameter_402: class Program_weight_tensor_parameter_403: name = "parameter_403" + original_name = "batch_norm2d_23.w_0" shape = [512] dtype = "float32" min_val = float("0.636173") @@ -4356,6 +4760,7 @@ class Program_weight_tensor_parameter_403: class Program_weight_tensor_parameter_404: name = "parameter_404" + original_name = "batch_norm2d_23.w_2" shape = [512] dtype = "float32" min_val = float("0.000241562") @@ -4367,6 +4772,7 @@ class Program_weight_tensor_parameter_404: class Program_weight_tensor_parameter_405: name = "parameter_405" + original_name = "batch_norm2d_23.w_1" shape = [512] dtype = "float32" min_val = float("-1.44852") @@ -4378,6 +4784,7 @@ class Program_weight_tensor_parameter_405: class Program_weight_tensor_parameter_406: name = "parameter_406" + original_name = "conv2d_23.w_0" shape = [512, 1, 5, 5] dtype = "float32" min_val = float("-0.244098") @@ -4389,6 +4796,7 @@ class Program_weight_tensor_parameter_406: class Program_weight_tensor_parameter_407: name = "parameter_407" + original_name = "batch_norm2d_22.b_0" shape = [512] dtype = "float32" min_val = float("-2.49345") @@ -4400,6 +4808,7 @@ class Program_weight_tensor_parameter_407: class Program_weight_tensor_parameter_408: name = "parameter_408" + original_name = "batch_norm2d_22.w_0" shape = [512] dtype = "float32" min_val = float("-1.02861") @@ -4411,6 +4820,7 @@ class Program_weight_tensor_parameter_408: class Program_weight_tensor_parameter_409: name = "parameter_409" + original_name = "batch_norm2d_22.w_2" shape = [512] dtype = "float32" min_val = float("0.62293") @@ -4422,6 +4832,7 @@ class Program_weight_tensor_parameter_409: class Program_weight_tensor_parameter_410: name = "parameter_410" + original_name = "batch_norm2d_22.w_1" shape = [512] dtype = "float32" min_val = float("-4.31656") @@ -4433,6 +4844,7 @@ class Program_weight_tensor_parameter_410: class Program_weight_tensor_parameter_411: name = "parameter_411" + original_name = "conv2d_22.w_0" shape = [512, 512, 1, 1] dtype = "float32" min_val = float("-0.506109") @@ -4444,6 +4856,7 @@ class Program_weight_tensor_parameter_411: class Program_weight_tensor_parameter_412: name = "parameter_412" + original_name = "batch_norm2d_21.b_0" shape = [512] dtype = "float32" min_val = float("-4.50514") @@ -4455,6 +4868,7 @@ class Program_weight_tensor_parameter_412: class Program_weight_tensor_parameter_413: name = "parameter_413" + original_name = "batch_norm2d_21.w_0" shape = [512] dtype = "float32" min_val = float("0.536631") @@ -4466,6 +4880,7 @@ class Program_weight_tensor_parameter_413: class Program_weight_tensor_parameter_414: name = "parameter_414" + original_name = "batch_norm2d_21.w_2" shape = [512] dtype = "float32" min_val = float("0.000220654") @@ -4477,6 +4892,7 @@ class Program_weight_tensor_parameter_414: class Program_weight_tensor_parameter_415: name = "parameter_415" + original_name = "batch_norm2d_21.w_1" shape = [512] dtype = "float32" min_val = float("-1.76512") @@ -4488,6 +4904,7 @@ class Program_weight_tensor_parameter_415: class Program_weight_tensor_parameter_416: name = "parameter_416" + original_name = "conv2d_21.w_0" shape = [512, 1, 5, 5] dtype = "float32" min_val = float("-0.604975") @@ -4499,6 +4916,7 @@ class Program_weight_tensor_parameter_416: class Program_weight_tensor_parameter_417: name = "parameter_417" + original_name = "batch_norm2d_20.b_0" shape = [512] dtype = "float32" min_val = float("-3.05432") @@ -4510,6 +4928,7 @@ class Program_weight_tensor_parameter_417: class Program_weight_tensor_parameter_418: name = "parameter_418" + original_name = "batch_norm2d_20.w_0" shape = [512] dtype = "float32" min_val = float("-0.0930386") @@ -4521,6 +4940,7 @@ class Program_weight_tensor_parameter_418: class Program_weight_tensor_parameter_419: name = "parameter_419" + original_name = "batch_norm2d_20.w_2" shape = [512] dtype = "float32" min_val = float("0.425756") @@ -4532,6 +4952,7 @@ class Program_weight_tensor_parameter_419: class Program_weight_tensor_parameter_420: name = "parameter_420" + original_name = "batch_norm2d_20.w_1" shape = [512] dtype = "float32" min_val = float("-4.57225") @@ -4543,6 +4964,7 @@ class Program_weight_tensor_parameter_420: class Program_weight_tensor_parameter_421: name = "parameter_421" + original_name = "conv2d_20.w_0" shape = [512, 512, 1, 1] dtype = "float32" min_val = float("-0.62835") @@ -4554,6 +4976,7 @@ class Program_weight_tensor_parameter_421: class Program_weight_tensor_parameter_422: name = "parameter_422" + original_name = "batch_norm2d_19.b_0" shape = [512] dtype = "float32" min_val = float("-3.62744") @@ -4565,6 +4988,7 @@ class Program_weight_tensor_parameter_422: class Program_weight_tensor_parameter_423: name = "parameter_423" + original_name = "batch_norm2d_19.w_0" shape = [512] dtype = "float32" min_val = float("0.452669") @@ -4576,6 +5000,7 @@ class Program_weight_tensor_parameter_423: class Program_weight_tensor_parameter_424: name = "parameter_424" + original_name = "batch_norm2d_19.w_2" shape = [512] dtype = "float32" min_val = float("0.000285408") @@ -4587,6 +5012,7 @@ class Program_weight_tensor_parameter_424: class Program_weight_tensor_parameter_425: name = "parameter_425" + original_name = "batch_norm2d_19.w_1" shape = [512] dtype = "float32" min_val = float("-6.57435") @@ -4598,6 +5024,7 @@ class Program_weight_tensor_parameter_425: class Program_weight_tensor_parameter_426: name = "parameter_426" + original_name = "conv2d_19.w_0" shape = [512, 1, 5, 5] dtype = "float32" min_val = float("-0.625084") @@ -4609,6 +5036,7 @@ class Program_weight_tensor_parameter_426: class Program_weight_tensor_parameter_427: name = "parameter_427" + original_name = "batch_norm2d_18.b_0" shape = [512] dtype = "float32" min_val = float("-3.62173") @@ -4620,6 +5048,7 @@ class Program_weight_tensor_parameter_427: class Program_weight_tensor_parameter_428: name = "parameter_428" + original_name = "batch_norm2d_18.w_0" shape = [512] dtype = "float32" min_val = float("0.0580244") @@ -4631,6 +5060,7 @@ class Program_weight_tensor_parameter_428: class Program_weight_tensor_parameter_429: name = "parameter_429" + original_name = "batch_norm2d_18.w_2" shape = [512] dtype = "float32" min_val = float("0.433457") @@ -4642,6 +5072,7 @@ class Program_weight_tensor_parameter_429: class Program_weight_tensor_parameter_430: name = "parameter_430" + original_name = "batch_norm2d_18.w_1" shape = [512] dtype = "float32" min_val = float("-3.60195") @@ -4653,6 +5084,7 @@ class Program_weight_tensor_parameter_430: class Program_weight_tensor_parameter_431: name = "parameter_431" + original_name = "conv2d_18.w_0" shape = [512, 512, 1, 1] dtype = "float32" min_val = float("-0.468582") @@ -4664,6 +5096,7 @@ class Program_weight_tensor_parameter_431: class Program_weight_tensor_parameter_432: name = "parameter_432" + original_name = "batch_norm2d_17.b_0" shape = [512] dtype = "float32" min_val = float("-2.59305") @@ -4675,6 +5108,7 @@ class Program_weight_tensor_parameter_432: class Program_weight_tensor_parameter_433: name = "parameter_433" + original_name = "batch_norm2d_17.w_0" shape = [512] dtype = "float32" min_val = float("0.439851") @@ -4686,6 +5120,7 @@ class Program_weight_tensor_parameter_433: class Program_weight_tensor_parameter_434: name = "parameter_434" + original_name = "batch_norm2d_17.w_2" shape = [512] dtype = "float32" min_val = float("0.000183726") @@ -4697,6 +5132,7 @@ class Program_weight_tensor_parameter_434: class Program_weight_tensor_parameter_435: name = "parameter_435" + original_name = "batch_norm2d_17.w_1" shape = [512] dtype = "float32" min_val = float("-4.15279") @@ -4708,6 +5144,7 @@ class Program_weight_tensor_parameter_435: class Program_weight_tensor_parameter_436: name = "parameter_436" + original_name = "conv2d_17.w_0" shape = [512, 1, 5, 5] dtype = "float32" min_val = float("-0.632949") @@ -4719,6 +5156,7 @@ class Program_weight_tensor_parameter_436: class Program_weight_tensor_parameter_437: name = "parameter_437" + original_name = "batch_norm2d_16.b_0" shape = [512] dtype = "float32" min_val = float("-2.83442") @@ -4730,6 +5168,7 @@ class Program_weight_tensor_parameter_437: class Program_weight_tensor_parameter_438: name = "parameter_438" + original_name = "batch_norm2d_16.w_0" shape = [512] dtype = "float32" min_val = float("0.0560239") @@ -4741,6 +5180,7 @@ class Program_weight_tensor_parameter_438: class Program_weight_tensor_parameter_439: name = "parameter_439" + original_name = "batch_norm2d_16.w_2" shape = [512] dtype = "float32" min_val = float("0.479833") @@ -4752,6 +5192,7 @@ class Program_weight_tensor_parameter_439: class Program_weight_tensor_parameter_440: name = "parameter_440" + original_name = "batch_norm2d_16.w_1" shape = [512] dtype = "float32" min_val = float("-4.34319") @@ -4763,6 +5204,7 @@ class Program_weight_tensor_parameter_440: class Program_weight_tensor_parameter_441: name = "parameter_441" + original_name = "conv2d_16.w_0" shape = [512, 512, 1, 1] dtype = "float32" min_val = float("-0.560734") @@ -4774,6 +5216,7 @@ class Program_weight_tensor_parameter_441: class Program_weight_tensor_parameter_442: name = "parameter_442" + original_name = "batch_norm2d_15.b_0" shape = [512] dtype = "float32" min_val = float("-3.39033") @@ -4785,6 +5228,7 @@ class Program_weight_tensor_parameter_442: class Program_weight_tensor_parameter_443: name = "parameter_443" + original_name = "batch_norm2d_15.w_0" shape = [512] dtype = "float32" min_val = float("0.47351") @@ -4796,6 +5240,7 @@ class Program_weight_tensor_parameter_443: class Program_weight_tensor_parameter_444: name = "parameter_444" + original_name = "batch_norm2d_15.w_2" shape = [512] dtype = "float32" min_val = float("0.000181247") @@ -4807,6 +5252,7 @@ class Program_weight_tensor_parameter_444: class Program_weight_tensor_parameter_445: name = "parameter_445" + original_name = "batch_norm2d_15.w_1" shape = [512] dtype = "float32" min_val = float("-2.4042") @@ -4818,6 +5264,7 @@ class Program_weight_tensor_parameter_445: class Program_weight_tensor_parameter_446: name = "parameter_446" + original_name = "conv2d_15.w_0" shape = [512, 1, 5, 5] dtype = "float32" min_val = float("-0.635638") @@ -4829,6 +5276,7 @@ class Program_weight_tensor_parameter_446: class Program_weight_tensor_parameter_447: name = "parameter_447" + original_name = "batch_norm2d_14.b_0" shape = [512] dtype = "float32" min_val = float("-2.94188") @@ -4840,6 +5288,7 @@ class Program_weight_tensor_parameter_447: class Program_weight_tensor_parameter_448: name = "parameter_448" + original_name = "batch_norm2d_14.w_0" shape = [512] dtype = "float32" min_val = float("-0.0810288") @@ -4851,6 +5300,7 @@ class Program_weight_tensor_parameter_448: class Program_weight_tensor_parameter_449: name = "parameter_449" + original_name = "batch_norm2d_14.w_2" shape = [512] dtype = "float32" min_val = float("0.237089") @@ -4862,6 +5312,7 @@ class Program_weight_tensor_parameter_449: class Program_weight_tensor_parameter_450: name = "parameter_450" + original_name = "batch_norm2d_14.w_1" shape = [512] dtype = "float32" min_val = float("-2.90589") @@ -4873,6 +5324,7 @@ class Program_weight_tensor_parameter_450: class Program_weight_tensor_parameter_451: name = "parameter_451" + original_name = "conv2d_14.w_0" shape = [512, 512, 1, 1] dtype = "float32" min_val = float("-0.593537") @@ -4884,6 +5336,7 @@ class Program_weight_tensor_parameter_451: class Program_weight_tensor_parameter_452: name = "parameter_452" + original_name = "batch_norm2d_13.b_0" shape = [512] dtype = "float32" min_val = float("-5.74784") @@ -4895,6 +5348,7 @@ class Program_weight_tensor_parameter_452: class Program_weight_tensor_parameter_453: name = "parameter_453" + original_name = "batch_norm2d_13.w_0" shape = [512] dtype = "float32" min_val = float("0.434057") @@ -4906,6 +5360,7 @@ class Program_weight_tensor_parameter_453: class Program_weight_tensor_parameter_454: name = "parameter_454" + original_name = "batch_norm2d_13.w_2" shape = [512] dtype = "float32" min_val = float("0.00016692") @@ -4917,6 +5372,7 @@ class Program_weight_tensor_parameter_454: class Program_weight_tensor_parameter_455: name = "parameter_455" + original_name = "batch_norm2d_13.w_1" shape = [512] dtype = "float32" min_val = float("-3.60746") @@ -4928,6 +5384,7 @@ class Program_weight_tensor_parameter_455: class Program_weight_tensor_parameter_456: name = "parameter_456" + original_name = "conv2d_13.w_0" shape = [512, 1, 5, 5] dtype = "float32" min_val = float("-0.640575") @@ -4939,6 +5396,7 @@ class Program_weight_tensor_parameter_456: class Program_weight_tensor_parameter_457: name = "parameter_457" + original_name = "batch_norm2d_12.b_0" shape = [512] dtype = "float32" min_val = float("-1.80369") @@ -4950,6 +5408,7 @@ class Program_weight_tensor_parameter_457: class Program_weight_tensor_parameter_458: name = "parameter_458" + original_name = "batch_norm2d_12.w_0" shape = [512] dtype = "float32" min_val = float("-0.320572") @@ -4961,6 +5420,7 @@ class Program_weight_tensor_parameter_458: class Program_weight_tensor_parameter_459: name = "parameter_459" + original_name = "batch_norm2d_12.w_2" shape = [512] dtype = "float32" min_val = float("0.255167") @@ -4972,6 +5432,7 @@ class Program_weight_tensor_parameter_459: class Program_weight_tensor_parameter_460: name = "parameter_460" + original_name = "batch_norm2d_12.w_1" shape = [512] dtype = "float32" min_val = float("-4.89251") @@ -4983,6 +5444,7 @@ class Program_weight_tensor_parameter_460: class Program_weight_tensor_parameter_461: name = "parameter_461" + original_name = "conv2d_12.w_0" shape = [512, 256, 1, 1] dtype = "float32" min_val = float("-0.61087") @@ -4994,6 +5456,7 @@ class Program_weight_tensor_parameter_461: class Program_weight_tensor_parameter_462: name = "parameter_462" + original_name = "batch_norm2d_11.b_0" shape = [256] dtype = "float32" min_val = float("-2.50715") @@ -5005,6 +5468,7 @@ class Program_weight_tensor_parameter_462: class Program_weight_tensor_parameter_463: name = "parameter_463" + original_name = "batch_norm2d_11.w_0" shape = [256] dtype = "float32" min_val = float("0.31472") @@ -5016,6 +5480,7 @@ class Program_weight_tensor_parameter_463: class Program_weight_tensor_parameter_464: name = "parameter_464" + original_name = "batch_norm2d_11.w_2" shape = [256] dtype = "float32" min_val = float("0.000170891") @@ -5027,6 +5492,7 @@ class Program_weight_tensor_parameter_464: class Program_weight_tensor_parameter_465: name = "parameter_465" + original_name = "batch_norm2d_11.w_1" shape = [256] dtype = "float32" min_val = float("-1.27262") @@ -5038,6 +5504,7 @@ class Program_weight_tensor_parameter_465: class Program_weight_tensor_parameter_466: name = "parameter_466" + original_name = "conv2d_11.w_0" shape = [256, 1, 3, 3] dtype = "float32" min_val = float("-0.275701") @@ -5049,6 +5516,7 @@ class Program_weight_tensor_parameter_466: class Program_weight_tensor_parameter_467: name = "parameter_467" + original_name = "batch_norm2d_10.b_0" shape = [256] dtype = "float32" min_val = float("-2.74922") @@ -5060,6 +5528,7 @@ class Program_weight_tensor_parameter_467: class Program_weight_tensor_parameter_468: name = "parameter_468" + original_name = "batch_norm2d_10.w_0" shape = [256] dtype = "float32" min_val = float("0.0712531") @@ -5071,6 +5540,7 @@ class Program_weight_tensor_parameter_468: class Program_weight_tensor_parameter_469: name = "parameter_469" + original_name = "batch_norm2d_10.w_2" shape = [256] dtype = "float32" min_val = float("0.154251") @@ -5082,6 +5552,7 @@ class Program_weight_tensor_parameter_469: class Program_weight_tensor_parameter_470: name = "parameter_470" + original_name = "batch_norm2d_10.w_1" shape = [256] dtype = "float32" min_val = float("-3.93395") @@ -5093,6 +5564,7 @@ class Program_weight_tensor_parameter_470: class Program_weight_tensor_parameter_471: name = "parameter_471" + original_name = "conv2d_10.w_0" shape = [256, 256, 1, 1] dtype = "float32" min_val = float("-0.64204") @@ -5104,6 +5576,7 @@ class Program_weight_tensor_parameter_471: class Program_weight_tensor_parameter_472: name = "parameter_472" + original_name = "batch_norm2d_9.b_0" shape = [256] dtype = "float32" min_val = float("-1.91749") @@ -5115,6 +5588,7 @@ class Program_weight_tensor_parameter_472: class Program_weight_tensor_parameter_473: name = "parameter_473" + original_name = "batch_norm2d_9.w_0" shape = [256] dtype = "float32" min_val = float("0.306293") @@ -5126,6 +5600,7 @@ class Program_weight_tensor_parameter_473: class Program_weight_tensor_parameter_474: name = "parameter_474" + original_name = "batch_norm2d_9.w_2" shape = [256] dtype = "float32" min_val = float("5.82143e-05") @@ -5137,6 +5612,7 @@ class Program_weight_tensor_parameter_474: class Program_weight_tensor_parameter_475: name = "parameter_475" + original_name = "batch_norm2d_9.w_1" shape = [256] dtype = "float32" min_val = float("-3.10143") @@ -5148,6 +5624,7 @@ class Program_weight_tensor_parameter_475: class Program_weight_tensor_parameter_476: name = "parameter_476" + original_name = "conv2d_9.w_0" shape = [256, 1, 3, 3] dtype = "float32" min_val = float("-0.836857") @@ -5159,6 +5636,7 @@ class Program_weight_tensor_parameter_476: class Program_weight_tensor_parameter_477: name = "parameter_477" + original_name = "batch_norm2d_8.b_0" shape = [256] dtype = "float32" min_val = float("-1.83389") @@ -5170,6 +5648,7 @@ class Program_weight_tensor_parameter_477: class Program_weight_tensor_parameter_478: name = "parameter_478" + original_name = "batch_norm2d_8.w_0" shape = [256] dtype = "float32" min_val = float("-0.391985") @@ -5181,6 +5660,7 @@ class Program_weight_tensor_parameter_478: class Program_weight_tensor_parameter_479: name = "parameter_479" + original_name = "batch_norm2d_8.w_2" shape = [256] dtype = "float32" min_val = float("0.209021") @@ -5192,6 +5672,7 @@ class Program_weight_tensor_parameter_479: class Program_weight_tensor_parameter_480: name = "parameter_480" + original_name = "batch_norm2d_8.w_1" shape = [256] dtype = "float32" min_val = float("-6.49554") @@ -5203,6 +5684,7 @@ class Program_weight_tensor_parameter_480: class Program_weight_tensor_parameter_481: name = "parameter_481" + original_name = "conv2d_8.w_0" shape = [256, 128, 1, 1] dtype = "float32" min_val = float("-0.780596") @@ -5214,6 +5696,7 @@ class Program_weight_tensor_parameter_481: class Program_weight_tensor_parameter_482: name = "parameter_482" + original_name = "batch_norm2d_7.b_0" shape = [128] dtype = "float32" min_val = float("-3.47533") @@ -5225,6 +5708,7 @@ class Program_weight_tensor_parameter_482: class Program_weight_tensor_parameter_483: name = "parameter_483" + original_name = "batch_norm2d_7.w_0" shape = [128] dtype = "float32" min_val = float("-0.69337") @@ -5236,6 +5720,7 @@ class Program_weight_tensor_parameter_483: class Program_weight_tensor_parameter_484: name = "parameter_484" + original_name = "batch_norm2d_7.w_2" shape = [128] dtype = "float32" min_val = float("0.000142701") @@ -5247,6 +5732,7 @@ class Program_weight_tensor_parameter_484: class Program_weight_tensor_parameter_485: name = "parameter_485" + original_name = "batch_norm2d_7.w_1" shape = [128] dtype = "float32" min_val = float("-1.84146") @@ -5258,6 +5744,7 @@ class Program_weight_tensor_parameter_485: class Program_weight_tensor_parameter_486: name = "parameter_486" + original_name = "conv2d_7.w_0" shape = [128, 1, 3, 3] dtype = "float32" min_val = float("-0.423886") @@ -5269,6 +5756,7 @@ class Program_weight_tensor_parameter_486: class Program_weight_tensor_parameter_487: name = "parameter_487" + original_name = "batch_norm2d_6.b_0" shape = [128] dtype = "float32" min_val = float("-2.39075") @@ -5280,6 +5768,7 @@ class Program_weight_tensor_parameter_487: class Program_weight_tensor_parameter_488: name = "parameter_488" + original_name = "batch_norm2d_6.w_0" shape = [128] dtype = "float32" min_val = float("-0.617548") @@ -5291,6 +5780,7 @@ class Program_weight_tensor_parameter_488: class Program_weight_tensor_parameter_489: name = "parameter_489" + original_name = "batch_norm2d_6.w_2" shape = [128] dtype = "float32" min_val = float("2.14813") @@ -5302,6 +5792,7 @@ class Program_weight_tensor_parameter_489: class Program_weight_tensor_parameter_490: name = "parameter_490" + original_name = "batch_norm2d_6.w_1" shape = [128] dtype = "float32" min_val = float("-8.14333") @@ -5313,6 +5804,7 @@ class Program_weight_tensor_parameter_490: class Program_weight_tensor_parameter_491: name = "parameter_491" + original_name = "conv2d_6.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.700292") @@ -5324,6 +5816,7 @@ class Program_weight_tensor_parameter_491: class Program_weight_tensor_parameter_492: name = "parameter_492" + original_name = "batch_norm2d_5.b_0" shape = [128] dtype = "float32" min_val = float("-1.46237") @@ -5335,6 +5828,7 @@ class Program_weight_tensor_parameter_492: class Program_weight_tensor_parameter_493: name = "parameter_493" + original_name = "batch_norm2d_5.w_0" shape = [128] dtype = "float32" min_val = float("0.952509") @@ -5346,6 +5840,7 @@ class Program_weight_tensor_parameter_493: class Program_weight_tensor_parameter_494: name = "parameter_494" + original_name = "batch_norm2d_5.w_2" shape = [128] dtype = "float32" min_val = float("0.000126647") @@ -5357,6 +5852,7 @@ class Program_weight_tensor_parameter_494: class Program_weight_tensor_parameter_495: name = "parameter_495" + original_name = "batch_norm2d_5.w_1" shape = [128] dtype = "float32" min_val = float("-2.7697") @@ -5368,6 +5864,7 @@ class Program_weight_tensor_parameter_495: class Program_weight_tensor_parameter_496: name = "parameter_496" + original_name = "conv2d_5.w_0" shape = [128, 1, 3, 3] dtype = "float32" min_val = float("-1.57983") @@ -5379,6 +5876,7 @@ class Program_weight_tensor_parameter_496: class Program_weight_tensor_parameter_497: name = "parameter_497" + original_name = "batch_norm2d_4.b_0" shape = [128] dtype = "float32" min_val = float("-3.63336") @@ -5390,6 +5888,7 @@ class Program_weight_tensor_parameter_497: class Program_weight_tensor_parameter_498: name = "parameter_498" + original_name = "batch_norm2d_4.w_0" shape = [128] dtype = "float32" min_val = float("-0.28108") @@ -5401,6 +5900,7 @@ class Program_weight_tensor_parameter_498: class Program_weight_tensor_parameter_499: name = "parameter_499" + original_name = "batch_norm2d_4.w_2" shape = [128] dtype = "float32" min_val = float("0.949669") @@ -5412,6 +5912,7 @@ class Program_weight_tensor_parameter_499: class Program_weight_tensor_parameter_500: name = "parameter_500" + original_name = "batch_norm2d_4.w_1" shape = [128] dtype = "float32" min_val = float("-12.4813") @@ -5423,6 +5924,7 @@ class Program_weight_tensor_parameter_500: class Program_weight_tensor_parameter_501: name = "parameter_501" + original_name = "conv2d_4.w_0" shape = [128, 64, 1, 1] dtype = "float32" min_val = float("-0.824473") @@ -5434,6 +5936,7 @@ class Program_weight_tensor_parameter_501: class Program_weight_tensor_parameter_502: name = "parameter_502" + original_name = "batch_norm2d_3.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -5443,6 +5946,7 @@ class Program_weight_tensor_parameter_502: class Program_weight_tensor_parameter_503: name = "parameter_503" + original_name = "batch_norm2d_3.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -5452,6 +5956,7 @@ class Program_weight_tensor_parameter_503: class Program_weight_tensor_parameter_504: name = "parameter_504" + original_name = "batch_norm2d_3.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -5461,6 +5966,7 @@ class Program_weight_tensor_parameter_504: class Program_weight_tensor_parameter_505: name = "parameter_505" + original_name = "batch_norm2d_3.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -5470,6 +5976,7 @@ class Program_weight_tensor_parameter_505: class Program_weight_tensor_parameter_506: name = "parameter_506" + original_name = "conv2d_3.w_0" shape = [64, 1, 3, 3] dtype = "float32" min_val = float("-0.380265") @@ -5481,6 +5988,7 @@ class Program_weight_tensor_parameter_506: class Program_weight_tensor_parameter_507: name = "parameter_507" + original_name = "batch_norm2d_2.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -5490,6 +5998,7 @@ class Program_weight_tensor_parameter_507: class Program_weight_tensor_parameter_508: name = "parameter_508" + original_name = "batch_norm2d_2.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -5499,6 +6008,7 @@ class Program_weight_tensor_parameter_508: class Program_weight_tensor_parameter_509: name = "parameter_509" + original_name = "batch_norm2d_2.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -5508,6 +6018,7 @@ class Program_weight_tensor_parameter_509: class Program_weight_tensor_parameter_510: name = "parameter_510" + original_name = "batch_norm2d_2.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -5517,6 +6028,7 @@ class Program_weight_tensor_parameter_510: class Program_weight_tensor_parameter_511: name = "parameter_511" + original_name = "conv2d_2.w_0" shape = [64, 32, 1, 1] dtype = "float32" min_val = float("-1.24185") @@ -5528,6 +6040,7 @@ class Program_weight_tensor_parameter_511: class Program_weight_tensor_parameter_512: name = "parameter_512" + original_name = "batch_norm2d_1.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -5537,6 +6050,7 @@ class Program_weight_tensor_parameter_512: class Program_weight_tensor_parameter_513: name = "parameter_513" + original_name = "batch_norm2d_1.w_0" shape = [32] dtype = "float32" min_val = float("0") @@ -5546,6 +6060,7 @@ class Program_weight_tensor_parameter_513: class Program_weight_tensor_parameter_514: name = "parameter_514" + original_name = "batch_norm2d_1.w_2" shape = [32] dtype = "float32" min_val = float("0") @@ -5555,6 +6070,7 @@ class Program_weight_tensor_parameter_514: class Program_weight_tensor_parameter_515: name = "parameter_515" + original_name = "batch_norm2d_1.w_1" shape = [32] dtype = "float32" min_val = float("0") @@ -5564,6 +6080,7 @@ class Program_weight_tensor_parameter_515: class Program_weight_tensor_parameter_516: name = "parameter_516" + original_name = "conv2d_1.w_0" shape = [32, 1, 3, 3] dtype = "float32" min_val = float("-1.89694") @@ -5575,6 +6092,7 @@ class Program_weight_tensor_parameter_516: class Program_weight_tensor_parameter_517: name = "parameter_517" + original_name = "batch_norm2d_0.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -5584,6 +6102,7 @@ class Program_weight_tensor_parameter_517: class Program_weight_tensor_parameter_518: name = "parameter_518" + original_name = "batch_norm2d_0.w_0" shape = [32] dtype = "float32" min_val = float("0") @@ -5593,6 +6112,7 @@ class Program_weight_tensor_parameter_518: class Program_weight_tensor_parameter_519: name = "parameter_519" + original_name = "batch_norm2d_0.w_2" shape = [32] dtype = "float32" min_val = float("0") @@ -5602,6 +6122,7 @@ class Program_weight_tensor_parameter_519: class Program_weight_tensor_parameter_520: name = "parameter_520" + original_name = "batch_norm2d_0.w_1" shape = [32] dtype = "float32" min_val = float("0") @@ -5611,6 +6132,7 @@ class Program_weight_tensor_parameter_520: class Program_weight_tensor_parameter_521: name = "parameter_521" + original_name = "conv2d_0.w_0" shape = [32, 3, 3, 3] dtype = "float32" min_val = float("-0.652919") diff --git a/paddle_samples/PaddleX/PicoDet-L/subgraph_7/input_meta.py b/paddle_samples/PaddleX/PicoDet-L/subgraph_7/input_meta.py index 8c3fffda9..167d71cf2 100644 --- a/paddle_samples/PaddleX/PicoDet-L/subgraph_7/input_meta.py +++ b/paddle_samples/PaddleX/PicoDet-L/subgraph_7/input_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_data_0: name = "data_0" + original_name = "var_1804" shape = [8, 3, 640, 640] dtype = "float32" min_val = float("-2.57228") @@ -11,6 +12,7 @@ class Program_weight_tensor_data_0: class Program_weight_tensor_data_1: name = "data_1" + original_name = "var_2057" shape = [8] dtype = "float32" data = [0.0, 1.0, 2.0, 3.0003, 4.0, 5.0, 6.0006, 7.0] diff --git a/paddle_samples/PaddleX/PicoDet-L/subgraph_7/weight_meta.py b/paddle_samples/PaddleX/PicoDet-L/subgraph_7/weight_meta.py index 5f3429353..290648a12 100644 --- a/paddle_samples/PaddleX/PicoDet-L/subgraph_7/weight_meta.py +++ b/paddle_samples/PaddleX/PicoDet-L/subgraph_7/weight_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_parameter_0: name = "parameter_0" + original_name = "batch_norm2d_97.b_0" shape = [1] dtype = "float32" min_val = float("0") @@ -9,6 +10,7 @@ class Program_weight_tensor_parameter_0: class Program_weight_tensor_parameter_1: name = "parameter_1" + original_name = "batch_norm2d_97.w_0" shape = [1] dtype = "float32" min_val = float("0") @@ -18,6 +20,7 @@ class Program_weight_tensor_parameter_1: class Program_weight_tensor_parameter_2: name = "parameter_2" + original_name = "batch_norm2d_97.w_2" shape = [1] dtype = "float32" min_val = float("0") @@ -27,6 +30,7 @@ class Program_weight_tensor_parameter_2: class Program_weight_tensor_parameter_3: name = "parameter_3" + original_name = "batch_norm2d_97.w_1" shape = [1] dtype = "float32" min_val = float("0") @@ -36,6 +40,7 @@ class Program_weight_tensor_parameter_3: class Program_weight_tensor_parameter_4: name = "parameter_4" + original_name = "conv2d_115.w_0" shape = [1, 1, 1, 1] dtype = "float32" min_val = float("0") @@ -45,6 +50,7 @@ class Program_weight_tensor_parameter_4: class Program_weight_tensor_parameter_5: name = "parameter_5" + original_name = "batch_norm2d_96.b_0" shape = [1] dtype = "float32" min_val = float("0") @@ -54,6 +60,7 @@ class Program_weight_tensor_parameter_5: class Program_weight_tensor_parameter_6: name = "parameter_6" + original_name = "batch_norm2d_96.w_0" shape = [1] dtype = "float32" min_val = float("0") @@ -63,6 +70,7 @@ class Program_weight_tensor_parameter_6: class Program_weight_tensor_parameter_7: name = "parameter_7" + original_name = "batch_norm2d_96.w_2" shape = [1] dtype = "float32" min_val = float("0") @@ -72,6 +80,7 @@ class Program_weight_tensor_parameter_7: class Program_weight_tensor_parameter_8: name = "parameter_8" + original_name = "batch_norm2d_96.w_1" shape = [1] dtype = "float32" min_val = float("0") @@ -81,6 +90,7 @@ class Program_weight_tensor_parameter_8: class Program_weight_tensor_parameter_9: name = "parameter_9" + original_name = "conv2d_114.w_0" shape = [1, 160, 5, 5] dtype = "float32" min_val = float("-0.356212") @@ -92,6 +102,7 @@ class Program_weight_tensor_parameter_9: class Program_weight_tensor_parameter_10: name = "parameter_10" + original_name = "conv2d_113.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -101,6 +112,7 @@ class Program_weight_tensor_parameter_10: class Program_weight_tensor_parameter_11: name = "parameter_11" + original_name = "conv2d_113.w_0" shape = [32, 160, 1, 1] dtype = "float32" min_val = float("-0.496682") @@ -112,6 +124,7 @@ class Program_weight_tensor_parameter_11: class Program_weight_tensor_parameter_12: name = "parameter_12" + original_name = "conv2d_112.b_0" shape = [4] dtype = "float32" min_val = float("0") @@ -121,6 +134,7 @@ class Program_weight_tensor_parameter_12: class Program_weight_tensor_parameter_13: name = "parameter_13" + original_name = "conv2d_112.w_0" shape = [4, 160, 1, 1] dtype = "float32" min_val = float("-0.0286105") @@ -132,6 +146,7 @@ class Program_weight_tensor_parameter_13: class Program_weight_tensor_parameter_14: name = "parameter_14" + original_name = "batch_norm2d_89.b_0" shape = [160] dtype = "float32" min_val = float("-0.521588") @@ -143,6 +158,7 @@ class Program_weight_tensor_parameter_14: class Program_weight_tensor_parameter_15: name = "parameter_15" + original_name = "batch_norm2d_89.w_0" shape = [160] dtype = "float32" min_val = float("0.699248") @@ -154,6 +170,7 @@ class Program_weight_tensor_parameter_15: class Program_weight_tensor_parameter_16: name = "parameter_16" + original_name = "batch_norm2d_89.w_2" shape = [160] dtype = "float32" min_val = float("0.00913058") @@ -165,6 +182,7 @@ class Program_weight_tensor_parameter_16: class Program_weight_tensor_parameter_17: name = "parameter_17" + original_name = "batch_norm2d_89.w_1" shape = [160] dtype = "float32" min_val = float("-0.215992") @@ -176,6 +194,7 @@ class Program_weight_tensor_parameter_17: class Program_weight_tensor_parameter_18: name = "parameter_18" + original_name = "conv2d_97.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.29073") @@ -187,6 +206,7 @@ class Program_weight_tensor_parameter_18: class Program_weight_tensor_parameter_19: name = "parameter_19" + original_name = "conv2d_96.b_0" shape = [160] dtype = "float32" min_val = float("-0.0496633") @@ -198,6 +218,7 @@ class Program_weight_tensor_parameter_19: class Program_weight_tensor_parameter_20: name = "parameter_20" + original_name = "conv2d_96.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.174508") @@ -209,6 +230,7 @@ class Program_weight_tensor_parameter_20: class Program_weight_tensor_parameter_21: name = "parameter_21" + original_name = "batch_norm2d_88.b_0" shape = [160] dtype = "float32" min_val = float("-2.24548") @@ -220,6 +242,7 @@ class Program_weight_tensor_parameter_21: class Program_weight_tensor_parameter_22: name = "parameter_22" + original_name = "batch_norm2d_88.w_0" shape = [160] dtype = "float32" min_val = float("0.520968") @@ -231,6 +254,7 @@ class Program_weight_tensor_parameter_22: class Program_weight_tensor_parameter_23: name = "parameter_23" + original_name = "batch_norm2d_88.w_2" shape = [160] dtype = "float32" min_val = float("0.0493586") @@ -242,6 +266,7 @@ class Program_weight_tensor_parameter_23: class Program_weight_tensor_parameter_24: name = "parameter_24" + original_name = "batch_norm2d_88.w_1" shape = [160] dtype = "float32" min_val = float("-0.635643") @@ -253,6 +278,7 @@ class Program_weight_tensor_parameter_24: class Program_weight_tensor_parameter_25: name = "parameter_25" + original_name = "conv2d_95.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.424473") @@ -264,6 +290,7 @@ class Program_weight_tensor_parameter_25: class Program_weight_tensor_parameter_26: name = "parameter_26" + original_name = "batch_norm2d_87.b_0" shape = [160] dtype = "float32" min_val = float("-0.987313") @@ -275,6 +302,7 @@ class Program_weight_tensor_parameter_26: class Program_weight_tensor_parameter_27: name = "parameter_27" + original_name = "batch_norm2d_87.w_0" shape = [160] dtype = "float32" min_val = float("0.486931") @@ -286,6 +314,7 @@ class Program_weight_tensor_parameter_27: class Program_weight_tensor_parameter_28: name = "parameter_28" + original_name = "batch_norm2d_87.w_2" shape = [160] dtype = "float32" min_val = float("0.00354401") @@ -297,6 +326,7 @@ class Program_weight_tensor_parameter_28: class Program_weight_tensor_parameter_29: name = "parameter_29" + original_name = "batch_norm2d_87.w_1" shape = [160] dtype = "float32" min_val = float("-0.407717") @@ -308,6 +338,7 @@ class Program_weight_tensor_parameter_29: class Program_weight_tensor_parameter_30: name = "parameter_30" + original_name = "conv2d_94.w_0" shape = [160, 1, 5, 5] dtype = "float32" min_val = float("-0.364153") @@ -319,6 +350,7 @@ class Program_weight_tensor_parameter_30: class Program_weight_tensor_parameter_31: name = "parameter_31" + original_name = "batch_norm2d_86.b_0" shape = [160] dtype = "float32" min_val = float("-0.98674") @@ -330,6 +362,7 @@ class Program_weight_tensor_parameter_31: class Program_weight_tensor_parameter_32: name = "parameter_32" + original_name = "batch_norm2d_86.w_0" shape = [160] dtype = "float32" min_val = float("0.378473") @@ -341,6 +374,7 @@ class Program_weight_tensor_parameter_32: class Program_weight_tensor_parameter_33: name = "parameter_33" + original_name = "batch_norm2d_86.w_2" shape = [160] dtype = "float32" min_val = float("0.03485") @@ -352,6 +386,7 @@ class Program_weight_tensor_parameter_33: class Program_weight_tensor_parameter_34: name = "parameter_34" + original_name = "batch_norm2d_86.w_1" shape = [160] dtype = "float32" min_val = float("-0.876605") @@ -363,6 +398,7 @@ class Program_weight_tensor_parameter_34: class Program_weight_tensor_parameter_35: name = "parameter_35" + original_name = "conv2d_93.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.368076") @@ -374,6 +410,7 @@ class Program_weight_tensor_parameter_35: class Program_weight_tensor_parameter_36: name = "parameter_36" + original_name = "batch_norm2d_85.b_0" shape = [160] dtype = "float32" min_val = float("-1.46439") @@ -385,6 +422,7 @@ class Program_weight_tensor_parameter_36: class Program_weight_tensor_parameter_37: name = "parameter_37" + original_name = "batch_norm2d_85.w_0" shape = [160] dtype = "float32" min_val = float("0.608107") @@ -396,6 +434,7 @@ class Program_weight_tensor_parameter_37: class Program_weight_tensor_parameter_38: name = "parameter_38" + original_name = "batch_norm2d_85.w_2" shape = [160] dtype = "float32" min_val = float("0.00129459") @@ -407,6 +446,7 @@ class Program_weight_tensor_parameter_38: class Program_weight_tensor_parameter_39: name = "parameter_39" + original_name = "batch_norm2d_85.w_1" shape = [160] dtype = "float32" min_val = float("-0.375603") @@ -418,6 +458,7 @@ class Program_weight_tensor_parameter_39: class Program_weight_tensor_parameter_40: name = "parameter_40" + original_name = "conv2d_92.w_0" shape = [160, 1, 5, 5] dtype = "float32" min_val = float("-0.244634") @@ -429,6 +470,7 @@ class Program_weight_tensor_parameter_40: class Program_weight_tensor_parameter_41: name = "parameter_41" + original_name = "batch_norm2d_84.b_0" shape = [160] dtype = "float32" min_val = float("-1.18063") @@ -440,6 +482,7 @@ class Program_weight_tensor_parameter_41: class Program_weight_tensor_parameter_42: name = "parameter_42" + original_name = "batch_norm2d_84.w_0" shape = [160] dtype = "float32" min_val = float("0.254918") @@ -451,6 +494,7 @@ class Program_weight_tensor_parameter_42: class Program_weight_tensor_parameter_43: name = "parameter_43" + original_name = "batch_norm2d_84.w_2" shape = [160] dtype = "float32" min_val = float("0.0854959") @@ -462,6 +506,7 @@ class Program_weight_tensor_parameter_43: class Program_weight_tensor_parameter_44: name = "parameter_44" + original_name = "batch_norm2d_84.w_1" shape = [160] dtype = "float32" min_val = float("-0.719714") @@ -473,6 +518,7 @@ class Program_weight_tensor_parameter_44: class Program_weight_tensor_parameter_45: name = "parameter_45" + original_name = "conv2d_91.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.300988") @@ -484,6 +530,7 @@ class Program_weight_tensor_parameter_45: class Program_weight_tensor_parameter_46: name = "parameter_46" + original_name = "batch_norm2d_83.b_0" shape = [160] dtype = "float32" min_val = float("-1.06698") @@ -495,6 +542,7 @@ class Program_weight_tensor_parameter_46: class Program_weight_tensor_parameter_47: name = "parameter_47" + original_name = "batch_norm2d_83.w_0" shape = [160] dtype = "float32" min_val = float("0.633603") @@ -506,6 +554,7 @@ class Program_weight_tensor_parameter_47: class Program_weight_tensor_parameter_48: name = "parameter_48" + original_name = "batch_norm2d_83.w_2" shape = [160] dtype = "float32" min_val = float("0.00606744") @@ -517,6 +566,7 @@ class Program_weight_tensor_parameter_48: class Program_weight_tensor_parameter_49: name = "parameter_49" + original_name = "batch_norm2d_83.w_1" shape = [160] dtype = "float32" min_val = float("-0.406558") @@ -528,6 +578,7 @@ class Program_weight_tensor_parameter_49: class Program_weight_tensor_parameter_50: name = "parameter_50" + original_name = "conv2d_90.w_0" shape = [160, 1, 5, 5] dtype = "float32" min_val = float("-0.224753") @@ -539,6 +590,7 @@ class Program_weight_tensor_parameter_50: class Program_weight_tensor_parameter_51: name = "parameter_51" + original_name = "batch_norm2d_82.b_0" shape = [160] dtype = "float32" min_val = float("-0.765194") @@ -550,6 +602,7 @@ class Program_weight_tensor_parameter_51: class Program_weight_tensor_parameter_52: name = "parameter_52" + original_name = "batch_norm2d_82.w_0" shape = [160] dtype = "float32" min_val = float("0.333245") @@ -561,6 +614,7 @@ class Program_weight_tensor_parameter_52: class Program_weight_tensor_parameter_53: name = "parameter_53" + original_name = "batch_norm2d_82.w_2" shape = [160] dtype = "float32" min_val = float("0.0971046") @@ -572,6 +626,7 @@ class Program_weight_tensor_parameter_53: class Program_weight_tensor_parameter_54: name = "parameter_54" + original_name = "batch_norm2d_82.w_1" shape = [160] dtype = "float32" min_val = float("-0.476141") @@ -583,6 +638,7 @@ class Program_weight_tensor_parameter_54: class Program_weight_tensor_parameter_55: name = "parameter_55" + original_name = "conv2d_89.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.403105") @@ -594,6 +650,7 @@ class Program_weight_tensor_parameter_55: class Program_weight_tensor_parameter_56: name = "parameter_56" + original_name = "batch_norm2d_81.b_0" shape = [160] dtype = "float32" min_val = float("-0.916828") @@ -605,6 +662,7 @@ class Program_weight_tensor_parameter_56: class Program_weight_tensor_parameter_57: name = "parameter_57" + original_name = "batch_norm2d_81.w_0" shape = [160] dtype = "float32" min_val = float("0.620762") @@ -616,6 +674,7 @@ class Program_weight_tensor_parameter_57: class Program_weight_tensor_parameter_58: name = "parameter_58" + original_name = "batch_norm2d_81.w_2" shape = [160] dtype = "float32" min_val = float("0.000208718") @@ -627,6 +686,7 @@ class Program_weight_tensor_parameter_58: class Program_weight_tensor_parameter_59: name = "parameter_59" + original_name = "batch_norm2d_81.w_1" shape = [160] dtype = "float32" min_val = float("-0.328806") @@ -638,6 +698,7 @@ class Program_weight_tensor_parameter_59: class Program_weight_tensor_parameter_60: name = "parameter_60" + original_name = "conv2d_88.w_0" shape = [160, 1, 5, 5] dtype = "float32" min_val = float("-0.374497") @@ -649,6 +710,7 @@ class Program_weight_tensor_parameter_60: class Program_weight_tensor_parameter_61: name = "parameter_61" + original_name = "batch_norm2d_95.b_0" shape = [1] dtype = "float32" min_val = float("0") @@ -658,6 +720,7 @@ class Program_weight_tensor_parameter_61: class Program_weight_tensor_parameter_62: name = "parameter_62" + original_name = "batch_norm2d_95.w_0" shape = [1] dtype = "float32" min_val = float("0") @@ -667,6 +730,7 @@ class Program_weight_tensor_parameter_62: class Program_weight_tensor_parameter_63: name = "parameter_63" + original_name = "batch_norm2d_95.w_2" shape = [1] dtype = "float32" min_val = float("0") @@ -676,6 +740,7 @@ class Program_weight_tensor_parameter_63: class Program_weight_tensor_parameter_64: name = "parameter_64" + original_name = "batch_norm2d_95.w_1" shape = [1] dtype = "float32" min_val = float("0") @@ -685,6 +750,7 @@ class Program_weight_tensor_parameter_64: class Program_weight_tensor_parameter_65: name = "parameter_65" + original_name = "conv2d_111.w_0" shape = [1, 1, 1, 1] dtype = "float32" min_val = float("0") @@ -694,6 +760,7 @@ class Program_weight_tensor_parameter_65: class Program_weight_tensor_parameter_66: name = "parameter_66" + original_name = "batch_norm2d_94.b_0" shape = [1] dtype = "float32" min_val = float("0") @@ -703,6 +770,7 @@ class Program_weight_tensor_parameter_66: class Program_weight_tensor_parameter_67: name = "parameter_67" + original_name = "batch_norm2d_94.w_0" shape = [1] dtype = "float32" min_val = float("0") @@ -712,6 +780,7 @@ class Program_weight_tensor_parameter_67: class Program_weight_tensor_parameter_68: name = "parameter_68" + original_name = "batch_norm2d_94.w_2" shape = [1] dtype = "float32" min_val = float("0") @@ -721,6 +790,7 @@ class Program_weight_tensor_parameter_68: class Program_weight_tensor_parameter_69: name = "parameter_69" + original_name = "batch_norm2d_94.w_1" shape = [1] dtype = "float32" min_val = float("0") @@ -730,6 +800,7 @@ class Program_weight_tensor_parameter_69: class Program_weight_tensor_parameter_70: name = "parameter_70" + original_name = "conv2d_110.w_0" shape = [1, 160, 5, 5] dtype = "float32" min_val = float("-0.34392") @@ -741,6 +812,7 @@ class Program_weight_tensor_parameter_70: class Program_weight_tensor_parameter_71: name = "parameter_71" + original_name = "conv2d_109.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -750,6 +822,7 @@ class Program_weight_tensor_parameter_71: class Program_weight_tensor_parameter_72: name = "parameter_72" + original_name = "conv2d_109.w_0" shape = [32, 160, 1, 1] dtype = "float32" min_val = float("-0.427167") @@ -761,6 +834,7 @@ class Program_weight_tensor_parameter_72: class Program_weight_tensor_parameter_73: name = "parameter_73" + original_name = "conv2d_108.b_0" shape = [4] dtype = "float32" min_val = float("0") @@ -770,6 +844,7 @@ class Program_weight_tensor_parameter_73: class Program_weight_tensor_parameter_74: name = "parameter_74" + original_name = "conv2d_108.w_0" shape = [4, 160, 1, 1] dtype = "float32" min_val = float("-0.0360377") @@ -781,6 +856,7 @@ class Program_weight_tensor_parameter_74: class Program_weight_tensor_parameter_75: name = "parameter_75" + original_name = "batch_norm2d_80.b_0" shape = [160] dtype = "float32" min_val = float("-0.296128") @@ -792,6 +868,7 @@ class Program_weight_tensor_parameter_75: class Program_weight_tensor_parameter_76: name = "parameter_76" + original_name = "batch_norm2d_80.w_0" shape = [160] dtype = "float32" min_val = float("0.620967") @@ -803,6 +880,7 @@ class Program_weight_tensor_parameter_76: class Program_weight_tensor_parameter_77: name = "parameter_77" + original_name = "batch_norm2d_80.w_2" shape = [160] dtype = "float32" min_val = float("0.00899742") @@ -814,6 +892,7 @@ class Program_weight_tensor_parameter_77: class Program_weight_tensor_parameter_78: name = "parameter_78" + original_name = "batch_norm2d_80.w_1" shape = [160] dtype = "float32" min_val = float("-0.385855") @@ -825,6 +904,7 @@ class Program_weight_tensor_parameter_78: class Program_weight_tensor_parameter_79: name = "parameter_79" + original_name = "conv2d_87.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.306001") @@ -836,6 +916,7 @@ class Program_weight_tensor_parameter_79: class Program_weight_tensor_parameter_80: name = "parameter_80" + original_name = "conv2d_86.b_0" shape = [160] dtype = "float32" min_val = float("-0.0468555") @@ -847,6 +928,7 @@ class Program_weight_tensor_parameter_80: class Program_weight_tensor_parameter_81: name = "parameter_81" + original_name = "conv2d_86.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.181718") @@ -858,6 +940,7 @@ class Program_weight_tensor_parameter_81: class Program_weight_tensor_parameter_82: name = "parameter_82" + original_name = "batch_norm2d_79.b_0" shape = [160] dtype = "float32" min_val = float("-0.964429") @@ -869,6 +952,7 @@ class Program_weight_tensor_parameter_82: class Program_weight_tensor_parameter_83: name = "parameter_83" + original_name = "batch_norm2d_79.w_0" shape = [160] dtype = "float32" min_val = float("0.548997") @@ -880,6 +964,7 @@ class Program_weight_tensor_parameter_83: class Program_weight_tensor_parameter_84: name = "parameter_84" + original_name = "batch_norm2d_79.w_2" shape = [160] dtype = "float32" min_val = float("0.0290038") @@ -891,6 +976,7 @@ class Program_weight_tensor_parameter_84: class Program_weight_tensor_parameter_85: name = "parameter_85" + original_name = "batch_norm2d_79.w_1" shape = [160] dtype = "float32" min_val = float("-1.30173") @@ -902,6 +988,7 @@ class Program_weight_tensor_parameter_85: class Program_weight_tensor_parameter_86: name = "parameter_86" + original_name = "conv2d_85.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.381947") @@ -913,6 +1000,7 @@ class Program_weight_tensor_parameter_86: class Program_weight_tensor_parameter_87: name = "parameter_87" + original_name = "batch_norm2d_78.b_0" shape = [160] dtype = "float32" min_val = float("-0.498733") @@ -924,6 +1012,7 @@ class Program_weight_tensor_parameter_87: class Program_weight_tensor_parameter_88: name = "parameter_88" + original_name = "batch_norm2d_78.w_0" shape = [160] dtype = "float32" min_val = float("0.388965") @@ -935,6 +1024,7 @@ class Program_weight_tensor_parameter_88: class Program_weight_tensor_parameter_89: name = "parameter_89" + original_name = "batch_norm2d_78.w_2" shape = [160] dtype = "float32" min_val = float("0.00368588") @@ -946,6 +1036,7 @@ class Program_weight_tensor_parameter_89: class Program_weight_tensor_parameter_90: name = "parameter_90" + original_name = "batch_norm2d_78.w_1" shape = [160] dtype = "float32" min_val = float("-0.212696") @@ -957,6 +1048,7 @@ class Program_weight_tensor_parameter_90: class Program_weight_tensor_parameter_91: name = "parameter_91" + original_name = "conv2d_84.w_0" shape = [160, 1, 5, 5] dtype = "float32" min_val = float("-0.376147") @@ -968,6 +1060,7 @@ class Program_weight_tensor_parameter_91: class Program_weight_tensor_parameter_92: name = "parameter_92" + original_name = "batch_norm2d_77.b_0" shape = [160] dtype = "float32" min_val = float("-0.563809") @@ -979,6 +1072,7 @@ class Program_weight_tensor_parameter_92: class Program_weight_tensor_parameter_93: name = "parameter_93" + original_name = "batch_norm2d_77.w_0" shape = [160] dtype = "float32" min_val = float("0.302864") @@ -990,6 +1084,7 @@ class Program_weight_tensor_parameter_93: class Program_weight_tensor_parameter_94: name = "parameter_94" + original_name = "batch_norm2d_77.w_2" shape = [160] dtype = "float32" min_val = float("0.0435934") @@ -1001,6 +1096,7 @@ class Program_weight_tensor_parameter_94: class Program_weight_tensor_parameter_95: name = "parameter_95" + original_name = "batch_norm2d_77.w_1" shape = [160] dtype = "float32" min_val = float("-0.50118") @@ -1012,6 +1108,7 @@ class Program_weight_tensor_parameter_95: class Program_weight_tensor_parameter_96: name = "parameter_96" + original_name = "conv2d_83.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.417702") @@ -1023,6 +1120,7 @@ class Program_weight_tensor_parameter_96: class Program_weight_tensor_parameter_97: name = "parameter_97" + original_name = "batch_norm2d_76.b_0" shape = [160] dtype = "float32" min_val = float("-0.428498") @@ -1034,6 +1132,7 @@ class Program_weight_tensor_parameter_97: class Program_weight_tensor_parameter_98: name = "parameter_98" + original_name = "batch_norm2d_76.w_0" shape = [160] dtype = "float32" min_val = float("0.547875") @@ -1045,6 +1144,7 @@ class Program_weight_tensor_parameter_98: class Program_weight_tensor_parameter_99: name = "parameter_99" + original_name = "batch_norm2d_76.w_2" shape = [160] dtype = "float32" min_val = float("0.0019344") @@ -1056,6 +1156,7 @@ class Program_weight_tensor_parameter_99: class Program_weight_tensor_parameter_100: name = "parameter_100" + original_name = "batch_norm2d_76.w_1" shape = [160] dtype = "float32" min_val = float("-0.298807") @@ -1067,6 +1168,7 @@ class Program_weight_tensor_parameter_100: class Program_weight_tensor_parameter_101: name = "parameter_101" + original_name = "conv2d_82.w_0" shape = [160, 1, 5, 5] dtype = "float32" min_val = float("-0.250861") @@ -1078,6 +1180,7 @@ class Program_weight_tensor_parameter_101: class Program_weight_tensor_parameter_102: name = "parameter_102" + original_name = "batch_norm2d_75.b_0" shape = [160] dtype = "float32" min_val = float("-0.811359") @@ -1089,6 +1192,7 @@ class Program_weight_tensor_parameter_102: class Program_weight_tensor_parameter_103: name = "parameter_103" + original_name = "batch_norm2d_75.w_0" shape = [160] dtype = "float32" min_val = float("0.125516") @@ -1100,6 +1204,7 @@ class Program_weight_tensor_parameter_103: class Program_weight_tensor_parameter_104: name = "parameter_104" + original_name = "batch_norm2d_75.w_2" shape = [160] dtype = "float32" min_val = float("0.042198") @@ -1111,6 +1216,7 @@ class Program_weight_tensor_parameter_104: class Program_weight_tensor_parameter_105: name = "parameter_105" + original_name = "batch_norm2d_75.w_1" shape = [160] dtype = "float32" min_val = float("-0.663953") @@ -1122,6 +1228,7 @@ class Program_weight_tensor_parameter_105: class Program_weight_tensor_parameter_106: name = "parameter_106" + original_name = "conv2d_81.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.335413") @@ -1133,6 +1240,7 @@ class Program_weight_tensor_parameter_106: class Program_weight_tensor_parameter_107: name = "parameter_107" + original_name = "batch_norm2d_74.b_0" shape = [160] dtype = "float32" min_val = float("-0.298503") @@ -1144,6 +1252,7 @@ class Program_weight_tensor_parameter_107: class Program_weight_tensor_parameter_108: name = "parameter_108" + original_name = "batch_norm2d_74.w_0" shape = [160] dtype = "float32" min_val = float("0.572943") @@ -1155,6 +1264,7 @@ class Program_weight_tensor_parameter_108: class Program_weight_tensor_parameter_109: name = "parameter_109" + original_name = "batch_norm2d_74.w_2" shape = [160] dtype = "float32" min_val = float("0.00667136") @@ -1166,6 +1276,7 @@ class Program_weight_tensor_parameter_109: class Program_weight_tensor_parameter_110: name = "parameter_110" + original_name = "batch_norm2d_74.w_1" shape = [160] dtype = "float32" min_val = float("-0.237689") @@ -1177,6 +1288,7 @@ class Program_weight_tensor_parameter_110: class Program_weight_tensor_parameter_111: name = "parameter_111" + original_name = "conv2d_80.w_0" shape = [160, 1, 5, 5] dtype = "float32" min_val = float("-0.279603") @@ -1188,6 +1300,7 @@ class Program_weight_tensor_parameter_111: class Program_weight_tensor_parameter_112: name = "parameter_112" + original_name = "batch_norm2d_73.b_0" shape = [160] dtype = "float32" min_val = float("-0.307664") @@ -1199,6 +1312,7 @@ class Program_weight_tensor_parameter_112: class Program_weight_tensor_parameter_113: name = "parameter_113" + original_name = "batch_norm2d_73.w_0" shape = [160] dtype = "float32" min_val = float("0.303124") @@ -1210,6 +1324,7 @@ class Program_weight_tensor_parameter_113: class Program_weight_tensor_parameter_114: name = "parameter_114" + original_name = "batch_norm2d_73.w_2" shape = [160] dtype = "float32" min_val = float("0.0528052") @@ -1221,6 +1336,7 @@ class Program_weight_tensor_parameter_114: class Program_weight_tensor_parameter_115: name = "parameter_115" + original_name = "batch_norm2d_73.w_1" shape = [160] dtype = "float32" min_val = float("-0.609471") @@ -1232,6 +1348,7 @@ class Program_weight_tensor_parameter_115: class Program_weight_tensor_parameter_116: name = "parameter_116" + original_name = "conv2d_79.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.276433") @@ -1243,6 +1360,7 @@ class Program_weight_tensor_parameter_116: class Program_weight_tensor_parameter_117: name = "parameter_117" + original_name = "batch_norm2d_72.b_0" shape = [160] dtype = "float32" min_val = float("-0.129438") @@ -1254,6 +1372,7 @@ class Program_weight_tensor_parameter_117: class Program_weight_tensor_parameter_118: name = "parameter_118" + original_name = "batch_norm2d_72.w_0" shape = [160] dtype = "float32" min_val = float("0.535911") @@ -1265,6 +1384,7 @@ class Program_weight_tensor_parameter_118: class Program_weight_tensor_parameter_119: name = "parameter_119" + original_name = "batch_norm2d_72.w_2" shape = [160] dtype = "float32" min_val = float("0.00347208") @@ -1276,6 +1396,7 @@ class Program_weight_tensor_parameter_119: class Program_weight_tensor_parameter_120: name = "parameter_120" + original_name = "batch_norm2d_72.w_1" shape = [160] dtype = "float32" min_val = float("-0.59298") @@ -1287,6 +1408,7 @@ class Program_weight_tensor_parameter_120: class Program_weight_tensor_parameter_121: name = "parameter_121" + original_name = "conv2d_78.w_0" shape = [160, 1, 5, 5] dtype = "float32" min_val = float("-0.291457") @@ -1298,6 +1420,7 @@ class Program_weight_tensor_parameter_121: class Program_weight_tensor_parameter_122: name = "parameter_122" + original_name = "batch_norm2d_93.b_0" shape = [1] dtype = "float32" min_val = float("0") @@ -1307,6 +1430,7 @@ class Program_weight_tensor_parameter_122: class Program_weight_tensor_parameter_123: name = "parameter_123" + original_name = "batch_norm2d_93.w_0" shape = [1] dtype = "float32" min_val = float("0") @@ -1316,6 +1440,7 @@ class Program_weight_tensor_parameter_123: class Program_weight_tensor_parameter_124: name = "parameter_124" + original_name = "batch_norm2d_93.w_2" shape = [1] dtype = "float32" min_val = float("0") @@ -1325,6 +1450,7 @@ class Program_weight_tensor_parameter_124: class Program_weight_tensor_parameter_125: name = "parameter_125" + original_name = "batch_norm2d_93.w_1" shape = [1] dtype = "float32" min_val = float("0") @@ -1334,6 +1460,7 @@ class Program_weight_tensor_parameter_125: class Program_weight_tensor_parameter_126: name = "parameter_126" + original_name = "conv2d_107.w_0" shape = [1, 1, 1, 1] dtype = "float32" min_val = float("0") @@ -1343,6 +1470,7 @@ class Program_weight_tensor_parameter_126: class Program_weight_tensor_parameter_127: name = "parameter_127" + original_name = "batch_norm2d_92.b_0" shape = [1] dtype = "float32" min_val = float("0") @@ -1352,6 +1480,7 @@ class Program_weight_tensor_parameter_127: class Program_weight_tensor_parameter_128: name = "parameter_128" + original_name = "batch_norm2d_92.w_0" shape = [1] dtype = "float32" min_val = float("0") @@ -1361,6 +1490,7 @@ class Program_weight_tensor_parameter_128: class Program_weight_tensor_parameter_129: name = "parameter_129" + original_name = "batch_norm2d_92.w_2" shape = [1] dtype = "float32" min_val = float("0") @@ -1370,6 +1500,7 @@ class Program_weight_tensor_parameter_129: class Program_weight_tensor_parameter_130: name = "parameter_130" + original_name = "batch_norm2d_92.w_1" shape = [1] dtype = "float32" min_val = float("0") @@ -1379,6 +1510,7 @@ class Program_weight_tensor_parameter_130: class Program_weight_tensor_parameter_131: name = "parameter_131" + original_name = "conv2d_106.w_0" shape = [1, 160, 5, 5] dtype = "float32" min_val = float("-0.0991722") @@ -1390,6 +1522,7 @@ class Program_weight_tensor_parameter_131: class Program_weight_tensor_parameter_132: name = "parameter_132" + original_name = "conv2d_105.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -1399,6 +1532,7 @@ class Program_weight_tensor_parameter_132: class Program_weight_tensor_parameter_133: name = "parameter_133" + original_name = "conv2d_105.w_0" shape = [32, 160, 1, 1] dtype = "float32" min_val = float("-0.447913") @@ -1410,6 +1544,7 @@ class Program_weight_tensor_parameter_133: class Program_weight_tensor_parameter_134: name = "parameter_134" + original_name = "conv2d_104.b_0" shape = [4] dtype = "float32" min_val = float("0") @@ -1419,6 +1554,7 @@ class Program_weight_tensor_parameter_134: class Program_weight_tensor_parameter_135: name = "parameter_135" + original_name = "conv2d_104.w_0" shape = [4, 160, 1, 1] dtype = "float32" min_val = float("-0.0354484") @@ -1430,6 +1566,7 @@ class Program_weight_tensor_parameter_135: class Program_weight_tensor_parameter_136: name = "parameter_136" + original_name = "batch_norm2d_71.b_0" shape = [160] dtype = "float32" min_val = float("-0.911157") @@ -1441,6 +1578,7 @@ class Program_weight_tensor_parameter_136: class Program_weight_tensor_parameter_137: name = "parameter_137" + original_name = "batch_norm2d_71.w_0" shape = [160] dtype = "float32" min_val = float("0.429795") @@ -1452,6 +1590,7 @@ class Program_weight_tensor_parameter_137: class Program_weight_tensor_parameter_138: name = "parameter_138" + original_name = "batch_norm2d_71.w_2" shape = [160] dtype = "float32" min_val = float("0.0167085") @@ -1463,6 +1602,7 @@ class Program_weight_tensor_parameter_138: class Program_weight_tensor_parameter_139: name = "parameter_139" + original_name = "batch_norm2d_71.w_1" shape = [160] dtype = "float32" min_val = float("-0.619424") @@ -1474,6 +1614,7 @@ class Program_weight_tensor_parameter_139: class Program_weight_tensor_parameter_140: name = "parameter_140" + original_name = "conv2d_77.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.408258") @@ -1485,6 +1626,7 @@ class Program_weight_tensor_parameter_140: class Program_weight_tensor_parameter_141: name = "parameter_141" + original_name = "conv2d_76.b_0" shape = [160] dtype = "float32" min_val = float("-0.0411838") @@ -1496,6 +1638,7 @@ class Program_weight_tensor_parameter_141: class Program_weight_tensor_parameter_142: name = "parameter_142" + original_name = "conv2d_76.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.261469") @@ -1507,6 +1650,7 @@ class Program_weight_tensor_parameter_142: class Program_weight_tensor_parameter_143: name = "parameter_143" + original_name = "batch_norm2d_70.b_0" shape = [160] dtype = "float32" min_val = float("-1.39549") @@ -1518,6 +1662,7 @@ class Program_weight_tensor_parameter_143: class Program_weight_tensor_parameter_144: name = "parameter_144" + original_name = "batch_norm2d_70.w_0" shape = [160] dtype = "float32" min_val = float("0.731936") @@ -1529,6 +1674,7 @@ class Program_weight_tensor_parameter_144: class Program_weight_tensor_parameter_145: name = "parameter_145" + original_name = "batch_norm2d_70.w_2" shape = [160] dtype = "float32" min_val = float("0.033241") @@ -1540,6 +1686,7 @@ class Program_weight_tensor_parameter_145: class Program_weight_tensor_parameter_146: name = "parameter_146" + original_name = "batch_norm2d_70.w_1" shape = [160] dtype = "float32" min_val = float("-1.15451") @@ -1551,6 +1698,7 @@ class Program_weight_tensor_parameter_146: class Program_weight_tensor_parameter_147: name = "parameter_147" + original_name = "conv2d_75.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.386234") @@ -1562,6 +1710,7 @@ class Program_weight_tensor_parameter_147: class Program_weight_tensor_parameter_148: name = "parameter_148" + original_name = "batch_norm2d_69.b_0" shape = [160] dtype = "float32" min_val = float("-0.34156") @@ -1573,6 +1722,7 @@ class Program_weight_tensor_parameter_148: class Program_weight_tensor_parameter_149: name = "parameter_149" + original_name = "batch_norm2d_69.w_0" shape = [160] dtype = "float32" min_val = float("0.481545") @@ -1584,6 +1734,7 @@ class Program_weight_tensor_parameter_149: class Program_weight_tensor_parameter_150: name = "parameter_150" + original_name = "batch_norm2d_69.w_2" shape = [160] dtype = "float32" min_val = float("0.00314026") @@ -1595,6 +1746,7 @@ class Program_weight_tensor_parameter_150: class Program_weight_tensor_parameter_151: name = "parameter_151" + original_name = "batch_norm2d_69.w_1" shape = [160] dtype = "float32" min_val = float("-0.267509") @@ -1606,6 +1758,7 @@ class Program_weight_tensor_parameter_151: class Program_weight_tensor_parameter_152: name = "parameter_152" + original_name = "conv2d_74.w_0" shape = [160, 1, 5, 5] dtype = "float32" min_val = float("-0.409951") @@ -1617,6 +1770,7 @@ class Program_weight_tensor_parameter_152: class Program_weight_tensor_parameter_153: name = "parameter_153" + original_name = "batch_norm2d_68.b_0" shape = [160] dtype = "float32" min_val = float("-0.778682") @@ -1628,6 +1782,7 @@ class Program_weight_tensor_parameter_153: class Program_weight_tensor_parameter_154: name = "parameter_154" + original_name = "batch_norm2d_68.w_0" shape = [160] dtype = "float32" min_val = float("0.184092") @@ -1639,6 +1794,7 @@ class Program_weight_tensor_parameter_154: class Program_weight_tensor_parameter_155: name = "parameter_155" + original_name = "batch_norm2d_68.w_2" shape = [160] dtype = "float32" min_val = float("0.0485223") @@ -1650,6 +1806,7 @@ class Program_weight_tensor_parameter_155: class Program_weight_tensor_parameter_156: name = "parameter_156" + original_name = "batch_norm2d_68.w_1" shape = [160] dtype = "float32" min_val = float("-0.523338") @@ -1661,6 +1818,7 @@ class Program_weight_tensor_parameter_156: class Program_weight_tensor_parameter_157: name = "parameter_157" + original_name = "conv2d_73.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.335066") @@ -1672,6 +1830,7 @@ class Program_weight_tensor_parameter_157: class Program_weight_tensor_parameter_158: name = "parameter_158" + original_name = "batch_norm2d_67.b_0" shape = [160] dtype = "float32" min_val = float("-0.335061") @@ -1683,6 +1842,7 @@ class Program_weight_tensor_parameter_158: class Program_weight_tensor_parameter_159: name = "parameter_159" + original_name = "batch_norm2d_67.w_0" shape = [160] dtype = "float32" min_val = float("0.572124") @@ -1694,6 +1854,7 @@ class Program_weight_tensor_parameter_159: class Program_weight_tensor_parameter_160: name = "parameter_160" + original_name = "batch_norm2d_67.w_2" shape = [160] dtype = "float32" min_val = float("0.00109093") @@ -1705,6 +1866,7 @@ class Program_weight_tensor_parameter_160: class Program_weight_tensor_parameter_161: name = "parameter_161" + original_name = "batch_norm2d_67.w_1" shape = [160] dtype = "float32" min_val = float("-0.254237") @@ -1716,6 +1878,7 @@ class Program_weight_tensor_parameter_161: class Program_weight_tensor_parameter_162: name = "parameter_162" + original_name = "conv2d_72.w_0" shape = [160, 1, 5, 5] dtype = "float32" min_val = float("-0.248765") @@ -1727,6 +1890,7 @@ class Program_weight_tensor_parameter_162: class Program_weight_tensor_parameter_163: name = "parameter_163" + original_name = "batch_norm2d_66.b_0" shape = [160] dtype = "float32" min_val = float("-0.347887") @@ -1738,6 +1902,7 @@ class Program_weight_tensor_parameter_163: class Program_weight_tensor_parameter_164: name = "parameter_164" + original_name = "batch_norm2d_66.w_0" shape = [160] dtype = "float32" min_val = float("0.119675") @@ -1749,6 +1914,7 @@ class Program_weight_tensor_parameter_164: class Program_weight_tensor_parameter_165: name = "parameter_165" + original_name = "batch_norm2d_66.w_2" shape = [160] dtype = "float32" min_val = float("0.0648245") @@ -1760,6 +1926,7 @@ class Program_weight_tensor_parameter_165: class Program_weight_tensor_parameter_166: name = "parameter_166" + original_name = "batch_norm2d_66.w_1" shape = [160] dtype = "float32" min_val = float("-0.545628") @@ -1771,6 +1938,7 @@ class Program_weight_tensor_parameter_166: class Program_weight_tensor_parameter_167: name = "parameter_167" + original_name = "conv2d_71.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.331434") @@ -1782,6 +1950,7 @@ class Program_weight_tensor_parameter_167: class Program_weight_tensor_parameter_168: name = "parameter_168" + original_name = "batch_norm2d_65.b_0" shape = [160] dtype = "float32" min_val = float("-0.278151") @@ -1793,6 +1962,7 @@ class Program_weight_tensor_parameter_168: class Program_weight_tensor_parameter_169: name = "parameter_169" + original_name = "batch_norm2d_65.w_0" shape = [160] dtype = "float32" min_val = float("0.54093") @@ -1804,6 +1974,7 @@ class Program_weight_tensor_parameter_169: class Program_weight_tensor_parameter_170: name = "parameter_170" + original_name = "batch_norm2d_65.w_2" shape = [160] dtype = "float32" min_val = float("0.00147777") @@ -1815,6 +1986,7 @@ class Program_weight_tensor_parameter_170: class Program_weight_tensor_parameter_171: name = "parameter_171" + original_name = "batch_norm2d_65.w_1" shape = [160] dtype = "float32" min_val = float("-0.29215") @@ -1826,6 +1998,7 @@ class Program_weight_tensor_parameter_171: class Program_weight_tensor_parameter_172: name = "parameter_172" + original_name = "conv2d_70.w_0" shape = [160, 1, 5, 5] dtype = "float32" min_val = float("-0.299695") @@ -1837,6 +2010,7 @@ class Program_weight_tensor_parameter_172: class Program_weight_tensor_parameter_173: name = "parameter_173" + original_name = "batch_norm2d_64.b_0" shape = [160] dtype = "float32" min_val = float("-0.527016") @@ -1848,6 +2022,7 @@ class Program_weight_tensor_parameter_173: class Program_weight_tensor_parameter_174: name = "parameter_174" + original_name = "batch_norm2d_64.w_0" shape = [160] dtype = "float32" min_val = float("0.156099") @@ -1859,6 +2034,7 @@ class Program_weight_tensor_parameter_174: class Program_weight_tensor_parameter_175: name = "parameter_175" + original_name = "batch_norm2d_64.w_2" shape = [160] dtype = "float32" min_val = float("0.0849881") @@ -1870,6 +2046,7 @@ class Program_weight_tensor_parameter_175: class Program_weight_tensor_parameter_176: name = "parameter_176" + original_name = "batch_norm2d_64.w_1" shape = [160] dtype = "float32" min_val = float("-0.636833") @@ -1881,6 +2058,7 @@ class Program_weight_tensor_parameter_176: class Program_weight_tensor_parameter_177: name = "parameter_177" + original_name = "conv2d_69.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.369464") @@ -1892,6 +2070,7 @@ class Program_weight_tensor_parameter_177: class Program_weight_tensor_parameter_178: name = "parameter_178" + original_name = "batch_norm2d_63.b_0" shape = [160] dtype = "float32" min_val = float("-0.147481") @@ -1903,6 +2082,7 @@ class Program_weight_tensor_parameter_178: class Program_weight_tensor_parameter_179: name = "parameter_179" + original_name = "batch_norm2d_63.w_0" shape = [160] dtype = "float32" min_val = float("0.635943") @@ -1914,6 +2094,7 @@ class Program_weight_tensor_parameter_179: class Program_weight_tensor_parameter_180: name = "parameter_180" + original_name = "batch_norm2d_63.w_2" shape = [160] dtype = "float32" min_val = float("0.00190831") @@ -1925,6 +2106,7 @@ class Program_weight_tensor_parameter_180: class Program_weight_tensor_parameter_181: name = "parameter_181" + original_name = "batch_norm2d_63.w_1" shape = [160] dtype = "float32" min_val = float("-0.143772") @@ -1936,6 +2118,7 @@ class Program_weight_tensor_parameter_181: class Program_weight_tensor_parameter_182: name = "parameter_182" + original_name = "conv2d_68.w_0" shape = [160, 1, 5, 5] dtype = "float32" min_val = float("-0.247739") @@ -1947,6 +2130,7 @@ class Program_weight_tensor_parameter_182: class Program_weight_tensor_parameter_183: name = "parameter_183" + original_name = "batch_norm2d_91.b_0" shape = [1] dtype = "float32" min_val = float("0") @@ -1956,6 +2140,7 @@ class Program_weight_tensor_parameter_183: class Program_weight_tensor_parameter_184: name = "parameter_184" + original_name = "batch_norm2d_91.w_0" shape = [1] dtype = "float32" min_val = float("0") @@ -1965,6 +2150,7 @@ class Program_weight_tensor_parameter_184: class Program_weight_tensor_parameter_185: name = "parameter_185" + original_name = "batch_norm2d_91.w_2" shape = [1] dtype = "float32" min_val = float("0") @@ -1974,6 +2160,7 @@ class Program_weight_tensor_parameter_185: class Program_weight_tensor_parameter_186: name = "parameter_186" + original_name = "batch_norm2d_91.w_1" shape = [1] dtype = "float32" min_val = float("0") @@ -1983,6 +2170,7 @@ class Program_weight_tensor_parameter_186: class Program_weight_tensor_parameter_187: name = "parameter_187" + original_name = "conv2d_103.w_0" shape = [1, 1, 1, 1] dtype = "float32" min_val = float("0") @@ -1992,6 +2180,7 @@ class Program_weight_tensor_parameter_187: class Program_weight_tensor_parameter_188: name = "parameter_188" + original_name = "batch_norm2d_90.b_0" shape = [1] dtype = "float32" min_val = float("0") @@ -2001,6 +2190,7 @@ class Program_weight_tensor_parameter_188: class Program_weight_tensor_parameter_189: name = "parameter_189" + original_name = "batch_norm2d_90.w_0" shape = [1] dtype = "float32" min_val = float("0") @@ -2010,6 +2200,7 @@ class Program_weight_tensor_parameter_189: class Program_weight_tensor_parameter_190: name = "parameter_190" + original_name = "batch_norm2d_90.w_2" shape = [1] dtype = "float32" min_val = float("0") @@ -2019,6 +2210,7 @@ class Program_weight_tensor_parameter_190: class Program_weight_tensor_parameter_191: name = "parameter_191" + original_name = "batch_norm2d_90.w_1" shape = [1] dtype = "float32" min_val = float("0") @@ -2028,6 +2220,7 @@ class Program_weight_tensor_parameter_191: class Program_weight_tensor_parameter_192: name = "parameter_192" + original_name = "conv2d_102.w_0" shape = [1, 160, 5, 5] dtype = "float32" min_val = float("-0.343268") @@ -2039,6 +2232,7 @@ class Program_weight_tensor_parameter_192: class Program_weight_tensor_parameter_193: name = "parameter_193" + original_name = "conv2d_101.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -2048,6 +2242,7 @@ class Program_weight_tensor_parameter_193: class Program_weight_tensor_parameter_194: name = "parameter_194" + original_name = "conv2d_101.w_0" shape = [32, 160, 1, 1] dtype = "float32" min_val = float("-0.501342") @@ -2059,6 +2254,7 @@ class Program_weight_tensor_parameter_194: class Program_weight_tensor_parameter_195: name = "parameter_195" + original_name = "conv2d_100.b_0" shape = [4] dtype = "float32" min_val = float("0") @@ -2068,6 +2264,7 @@ class Program_weight_tensor_parameter_195: class Program_weight_tensor_parameter_196: name = "parameter_196" + original_name = "conv2d_100.w_0" shape = [4, 160, 1, 1] dtype = "float32" min_val = float("-0.0284732") @@ -2079,6 +2276,7 @@ class Program_weight_tensor_parameter_196: class Program_weight_tensor_parameter_197: name = "parameter_197" + original_name = "batch_norm2d_62.b_0" shape = [160] dtype = "float32" min_val = float("-0.175123") @@ -2090,6 +2288,7 @@ class Program_weight_tensor_parameter_197: class Program_weight_tensor_parameter_198: name = "parameter_198" + original_name = "batch_norm2d_62.w_0" shape = [160] dtype = "float32" min_val = float("0.394877") @@ -2101,6 +2300,7 @@ class Program_weight_tensor_parameter_198: class Program_weight_tensor_parameter_199: name = "parameter_199" + original_name = "batch_norm2d_62.w_2" shape = [160] dtype = "float32" min_val = float("0.0156991") @@ -2112,6 +2312,7 @@ class Program_weight_tensor_parameter_199: class Program_weight_tensor_parameter_200: name = "parameter_200" + original_name = "batch_norm2d_62.w_1" shape = [160] dtype = "float32" min_val = float("-0.37927") @@ -2123,6 +2324,7 @@ class Program_weight_tensor_parameter_200: class Program_weight_tensor_parameter_201: name = "parameter_201" + original_name = "conv2d_67.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.486278") @@ -2134,6 +2336,7 @@ class Program_weight_tensor_parameter_201: class Program_weight_tensor_parameter_202: name = "parameter_202" + original_name = "conv2d_66.b_0" shape = [160] dtype = "float32" min_val = float("-0.051179") @@ -2145,6 +2348,7 @@ class Program_weight_tensor_parameter_202: class Program_weight_tensor_parameter_203: name = "parameter_203" + original_name = "conv2d_66.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.314122") @@ -2156,6 +2360,7 @@ class Program_weight_tensor_parameter_203: class Program_weight_tensor_parameter_204: name = "parameter_204" + original_name = "batch_norm2d_61.b_0" shape = [160] dtype = "float32" min_val = float("-0.824726") @@ -2167,6 +2372,7 @@ class Program_weight_tensor_parameter_204: class Program_weight_tensor_parameter_205: name = "parameter_205" + original_name = "batch_norm2d_61.w_0" shape = [160] dtype = "float32" min_val = float("0.502036") @@ -2178,6 +2384,7 @@ class Program_weight_tensor_parameter_205: class Program_weight_tensor_parameter_206: name = "parameter_206" + original_name = "batch_norm2d_61.w_2" shape = [160] dtype = "float32" min_val = float("0.0802909") @@ -2189,6 +2396,7 @@ class Program_weight_tensor_parameter_206: class Program_weight_tensor_parameter_207: name = "parameter_207" + original_name = "batch_norm2d_61.w_1" shape = [160] dtype = "float32" min_val = float("-1.28711") @@ -2200,6 +2408,7 @@ class Program_weight_tensor_parameter_207: class Program_weight_tensor_parameter_208: name = "parameter_208" + original_name = "conv2d_65.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.576577") @@ -2211,6 +2420,7 @@ class Program_weight_tensor_parameter_208: class Program_weight_tensor_parameter_209: name = "parameter_209" + original_name = "batch_norm2d_60.b_0" shape = [160] dtype = "float32" min_val = float("-0.452386") @@ -2222,6 +2432,7 @@ class Program_weight_tensor_parameter_209: class Program_weight_tensor_parameter_210: name = "parameter_210" + original_name = "batch_norm2d_60.w_0" shape = [160] dtype = "float32" min_val = float("0.494642") @@ -2233,6 +2444,7 @@ class Program_weight_tensor_parameter_210: class Program_weight_tensor_parameter_211: name = "parameter_211" + original_name = "batch_norm2d_60.w_2" shape = [160] dtype = "float32" min_val = float("0.000336369") @@ -2244,6 +2456,7 @@ class Program_weight_tensor_parameter_211: class Program_weight_tensor_parameter_212: name = "parameter_212" + original_name = "batch_norm2d_60.w_1" shape = [160] dtype = "float32" min_val = float("-0.502753") @@ -2255,6 +2468,7 @@ class Program_weight_tensor_parameter_212: class Program_weight_tensor_parameter_213: name = "parameter_213" + original_name = "conv2d_64.w_0" shape = [160, 1, 5, 5] dtype = "float32" min_val = float("-0.526089") @@ -2266,6 +2480,7 @@ class Program_weight_tensor_parameter_213: class Program_weight_tensor_parameter_214: name = "parameter_214" + original_name = "batch_norm2d_59.b_0" shape = [160] dtype = "float32" min_val = float("-1.34131") @@ -2277,6 +2492,7 @@ class Program_weight_tensor_parameter_214: class Program_weight_tensor_parameter_215: name = "parameter_215" + original_name = "batch_norm2d_59.w_0" shape = [160] dtype = "float32" min_val = float("0.0732341") @@ -2288,6 +2504,7 @@ class Program_weight_tensor_parameter_215: class Program_weight_tensor_parameter_216: name = "parameter_216" + original_name = "batch_norm2d_59.w_2" shape = [160] dtype = "float32" min_val = float("0.0498151") @@ -2299,6 +2516,7 @@ class Program_weight_tensor_parameter_216: class Program_weight_tensor_parameter_217: name = "parameter_217" + original_name = "batch_norm2d_59.w_1" shape = [160] dtype = "float32" min_val = float("-0.898176") @@ -2310,6 +2528,7 @@ class Program_weight_tensor_parameter_217: class Program_weight_tensor_parameter_218: name = "parameter_218" + original_name = "conv2d_63.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.474332") @@ -2321,6 +2540,7 @@ class Program_weight_tensor_parameter_218: class Program_weight_tensor_parameter_219: name = "parameter_219" + original_name = "batch_norm2d_58.b_0" shape = [160] dtype = "float32" min_val = float("-0.715361") @@ -2332,6 +2552,7 @@ class Program_weight_tensor_parameter_219: class Program_weight_tensor_parameter_220: name = "parameter_220" + original_name = "batch_norm2d_58.w_0" shape = [160] dtype = "float32" min_val = float("0.480677") @@ -2343,6 +2564,7 @@ class Program_weight_tensor_parameter_220: class Program_weight_tensor_parameter_221: name = "parameter_221" + original_name = "batch_norm2d_58.w_2" shape = [160] dtype = "float32" min_val = float("0.000591381") @@ -2354,6 +2576,7 @@ class Program_weight_tensor_parameter_221: class Program_weight_tensor_parameter_222: name = "parameter_222" + original_name = "batch_norm2d_58.w_1" shape = [160] dtype = "float32" min_val = float("-0.467052") @@ -2365,6 +2588,7 @@ class Program_weight_tensor_parameter_222: class Program_weight_tensor_parameter_223: name = "parameter_223" + original_name = "conv2d_62.w_0" shape = [160, 1, 5, 5] dtype = "float32" min_val = float("-0.241131") @@ -2376,6 +2600,7 @@ class Program_weight_tensor_parameter_223: class Program_weight_tensor_parameter_224: name = "parameter_224" + original_name = "batch_norm2d_57.b_0" shape = [160] dtype = "float32" min_val = float("-1.10971") @@ -2387,6 +2612,7 @@ class Program_weight_tensor_parameter_224: class Program_weight_tensor_parameter_225: name = "parameter_225" + original_name = "batch_norm2d_57.w_0" shape = [160] dtype = "float32" min_val = float("0.2268") @@ -2398,6 +2624,7 @@ class Program_weight_tensor_parameter_225: class Program_weight_tensor_parameter_226: name = "parameter_226" + original_name = "batch_norm2d_57.w_2" shape = [160] dtype = "float32" min_val = float("0.0801081") @@ -2409,6 +2636,7 @@ class Program_weight_tensor_parameter_226: class Program_weight_tensor_parameter_227: name = "parameter_227" + original_name = "batch_norm2d_57.w_1" shape = [160] dtype = "float32" min_val = float("-0.701403") @@ -2420,6 +2648,7 @@ class Program_weight_tensor_parameter_227: class Program_weight_tensor_parameter_228: name = "parameter_228" + original_name = "conv2d_61.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.347425") @@ -2431,6 +2660,7 @@ class Program_weight_tensor_parameter_228: class Program_weight_tensor_parameter_229: name = "parameter_229" + original_name = "batch_norm2d_56.b_0" shape = [160] dtype = "float32" min_val = float("-0.634156") @@ -2442,6 +2672,7 @@ class Program_weight_tensor_parameter_229: class Program_weight_tensor_parameter_230: name = "parameter_230" + original_name = "batch_norm2d_56.w_0" shape = [160] dtype = "float32" min_val = float("0.516561") @@ -2453,6 +2684,7 @@ class Program_weight_tensor_parameter_230: class Program_weight_tensor_parameter_231: name = "parameter_231" + original_name = "batch_norm2d_56.w_2" shape = [160] dtype = "float32" min_val = float("0.000687546") @@ -2464,6 +2696,7 @@ class Program_weight_tensor_parameter_231: class Program_weight_tensor_parameter_232: name = "parameter_232" + original_name = "batch_norm2d_56.w_1" shape = [160] dtype = "float32" min_val = float("-0.340192") @@ -2475,6 +2708,7 @@ class Program_weight_tensor_parameter_232: class Program_weight_tensor_parameter_233: name = "parameter_233" + original_name = "conv2d_60.w_0" shape = [160, 1, 5, 5] dtype = "float32" min_val = float("-0.255104") @@ -2486,6 +2720,7 @@ class Program_weight_tensor_parameter_233: class Program_weight_tensor_parameter_234: name = "parameter_234" + original_name = "batch_norm2d_55.b_0" shape = [160] dtype = "float32" min_val = float("-0.814931") @@ -2497,6 +2732,7 @@ class Program_weight_tensor_parameter_234: class Program_weight_tensor_parameter_235: name = "parameter_235" + original_name = "batch_norm2d_55.w_0" shape = [160] dtype = "float32" min_val = float("0.0857535") @@ -2508,6 +2744,7 @@ class Program_weight_tensor_parameter_235: class Program_weight_tensor_parameter_236: name = "parameter_236" + original_name = "batch_norm2d_55.w_2" shape = [160] dtype = "float32" min_val = float("0.0784898") @@ -2519,6 +2756,7 @@ class Program_weight_tensor_parameter_236: class Program_weight_tensor_parameter_237: name = "parameter_237" + original_name = "batch_norm2d_55.w_1" shape = [160] dtype = "float32" min_val = float("-0.995845") @@ -2530,6 +2768,7 @@ class Program_weight_tensor_parameter_237: class Program_weight_tensor_parameter_238: name = "parameter_238" + original_name = "conv2d_59.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.37022") @@ -2541,6 +2780,7 @@ class Program_weight_tensor_parameter_238: class Program_weight_tensor_parameter_239: name = "parameter_239" + original_name = "batch_norm2d_54.b_0" shape = [160] dtype = "float32" min_val = float("-0.297092") @@ -2552,6 +2792,7 @@ class Program_weight_tensor_parameter_239: class Program_weight_tensor_parameter_240: name = "parameter_240" + original_name = "batch_norm2d_54.w_0" shape = [160] dtype = "float32" min_val = float("0.535509") @@ -2563,6 +2804,7 @@ class Program_weight_tensor_parameter_240: class Program_weight_tensor_parameter_241: name = "parameter_241" + original_name = "batch_norm2d_54.w_2" shape = [160] dtype = "float32" min_val = float("0.00115202") @@ -2574,6 +2816,7 @@ class Program_weight_tensor_parameter_241: class Program_weight_tensor_parameter_242: name = "parameter_242" + original_name = "batch_norm2d_54.w_1" shape = [160] dtype = "float32" min_val = float("-0.297696") @@ -2585,6 +2828,7 @@ class Program_weight_tensor_parameter_242: class Program_weight_tensor_parameter_243: name = "parameter_243" + original_name = "conv2d_58.w_0" shape = [160, 1, 5, 5] dtype = "float32" min_val = float("-0.371889") @@ -2596,6 +2840,7 @@ class Program_weight_tensor_parameter_243: class Program_weight_tensor_parameter_244: name = "parameter_244" + original_name = "batch_norm2d_33.b_0" shape = [160] dtype = "float32" min_val = float("-0.0776265") @@ -2607,6 +2852,7 @@ class Program_weight_tensor_parameter_244: class Program_weight_tensor_parameter_245: name = "parameter_245" + original_name = "batch_norm2d_33.w_0" shape = [160] dtype = "float32" min_val = float("0.0222148") @@ -2618,6 +2864,7 @@ class Program_weight_tensor_parameter_245: class Program_weight_tensor_parameter_246: name = "parameter_246" + original_name = "batch_norm2d_33.w_2" shape = [160] dtype = "float32" min_val = float("0.000385213") @@ -2629,6 +2876,7 @@ class Program_weight_tensor_parameter_246: class Program_weight_tensor_parameter_247: name = "parameter_247" + original_name = "batch_norm2d_33.w_1" shape = [160] dtype = "float32" min_val = float("-0.0235305") @@ -2640,6 +2888,7 @@ class Program_weight_tensor_parameter_247: class Program_weight_tensor_parameter_248: name = "parameter_248" + original_name = "conv2d_37.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.275385") @@ -2651,6 +2900,7 @@ class Program_weight_tensor_parameter_248: class Program_weight_tensor_parameter_249: name = "parameter_249" + original_name = "batch_norm2d_32.b_0" shape = [160] dtype = "float32" min_val = float("-0.274203") @@ -2662,6 +2912,7 @@ class Program_weight_tensor_parameter_249: class Program_weight_tensor_parameter_250: name = "parameter_250" + original_name = "batch_norm2d_32.w_0" shape = [160] dtype = "float32" min_val = float("0.0556746") @@ -2673,6 +2924,7 @@ class Program_weight_tensor_parameter_250: class Program_weight_tensor_parameter_251: name = "parameter_251" + original_name = "batch_norm2d_32.w_2" shape = [160] dtype = "float32" min_val = float("0.00075499") @@ -2684,6 +2936,7 @@ class Program_weight_tensor_parameter_251: class Program_weight_tensor_parameter_252: name = "parameter_252" + original_name = "batch_norm2d_32.w_1" shape = [160] dtype = "float32" min_val = float("-0.294837") @@ -2695,6 +2948,7 @@ class Program_weight_tensor_parameter_252: class Program_weight_tensor_parameter_253: name = "parameter_253" + original_name = "conv2d_36.w_0" shape = [160, 1, 5, 5] dtype = "float32" min_val = float("-0.160648") @@ -2706,6 +2960,7 @@ class Program_weight_tensor_parameter_253: class Program_weight_tensor_parameter_254: name = "parameter_254" + original_name = "batch_norm2d_31.b_0" shape = [160] dtype = "float32" min_val = float("-0.102693") @@ -2717,6 +2972,7 @@ class Program_weight_tensor_parameter_254: class Program_weight_tensor_parameter_255: name = "parameter_255" + original_name = "batch_norm2d_31.w_0" shape = [160] dtype = "float32" min_val = float("-0.00393406") @@ -2728,6 +2984,7 @@ class Program_weight_tensor_parameter_255: class Program_weight_tensor_parameter_256: name = "parameter_256" + original_name = "batch_norm2d_31.w_2" shape = [160] dtype = "float32" min_val = float("0.000101782") @@ -2739,6 +2996,7 @@ class Program_weight_tensor_parameter_256: class Program_weight_tensor_parameter_257: name = "parameter_257" + original_name = "batch_norm2d_31.w_1" shape = [160] dtype = "float32" min_val = float("-0.0145582") @@ -2750,6 +3008,7 @@ class Program_weight_tensor_parameter_257: class Program_weight_tensor_parameter_258: name = "parameter_258" + original_name = "conv2d_35.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.375548") @@ -2761,6 +3020,7 @@ class Program_weight_tensor_parameter_258: class Program_weight_tensor_parameter_259: name = "parameter_259" + original_name = "batch_norm2d_30.b_0" shape = [160] dtype = "float32" min_val = float("-0.257622") @@ -2772,6 +3032,7 @@ class Program_weight_tensor_parameter_259: class Program_weight_tensor_parameter_260: name = "parameter_260" + original_name = "batch_norm2d_30.w_0" shape = [160] dtype = "float32" min_val = float("0.0455946") @@ -2783,6 +3044,7 @@ class Program_weight_tensor_parameter_260: class Program_weight_tensor_parameter_261: name = "parameter_261" + original_name = "batch_norm2d_30.w_2" shape = [160] dtype = "float32" min_val = float("1.17939e-05") @@ -2794,6 +3056,7 @@ class Program_weight_tensor_parameter_261: class Program_weight_tensor_parameter_262: name = "parameter_262" + original_name = "batch_norm2d_30.w_1" shape = [160] dtype = "float32" min_val = float("-0.0426814") @@ -2805,6 +3068,7 @@ class Program_weight_tensor_parameter_262: class Program_weight_tensor_parameter_263: name = "parameter_263" + original_name = "conv2d_34.w_0" shape = [160, 1, 5, 5] dtype = "float32" min_val = float("-0.108871") @@ -2816,6 +3080,7 @@ class Program_weight_tensor_parameter_263: class Program_weight_tensor_parameter_264: name = "parameter_264" + original_name = "batch_norm2d_53.b_0" shape = [160] dtype = "float32" min_val = float("-1.52748") @@ -2827,6 +3092,7 @@ class Program_weight_tensor_parameter_264: class Program_weight_tensor_parameter_265: name = "parameter_265" + original_name = "batch_norm2d_53.w_0" shape = [160] dtype = "float32" min_val = float("0.111756") @@ -2838,6 +3104,7 @@ class Program_weight_tensor_parameter_265: class Program_weight_tensor_parameter_266: name = "parameter_266" + original_name = "batch_norm2d_53.w_2" shape = [160] dtype = "float32" min_val = float("0.10883") @@ -2849,6 +3116,7 @@ class Program_weight_tensor_parameter_266: class Program_weight_tensor_parameter_267: name = "parameter_267" + original_name = "batch_norm2d_53.w_1" shape = [160] dtype = "float32" min_val = float("-0.482996") @@ -2860,6 +3128,7 @@ class Program_weight_tensor_parameter_267: class Program_weight_tensor_parameter_268: name = "parameter_268" + original_name = "conv2d_57.w_0" shape = [160, 320, 1, 1] dtype = "float32" min_val = float("-0.346795") @@ -2871,6 +3140,7 @@ class Program_weight_tensor_parameter_268: class Program_weight_tensor_parameter_269: name = "parameter_269" + original_name = "batch_norm2d_52.b_0" shape = [320] dtype = "float32" min_val = float("-0.675587") @@ -2882,6 +3152,7 @@ class Program_weight_tensor_parameter_269: class Program_weight_tensor_parameter_270: name = "parameter_270" + original_name = "batch_norm2d_52.w_0" shape = [320] dtype = "float32" min_val = float("0.703312") @@ -2893,6 +3164,7 @@ class Program_weight_tensor_parameter_270: class Program_weight_tensor_parameter_271: name = "parameter_271" + original_name = "batch_norm2d_52.w_2" shape = [320] dtype = "float32" min_val = float("0.00646339") @@ -2904,6 +3176,7 @@ class Program_weight_tensor_parameter_271: class Program_weight_tensor_parameter_272: name = "parameter_272" + original_name = "batch_norm2d_52.w_1" shape = [320] dtype = "float32" min_val = float("-0.237389") @@ -2915,6 +3188,7 @@ class Program_weight_tensor_parameter_272: class Program_weight_tensor_parameter_273: name = "parameter_273" + original_name = "conv2d_56.w_0" shape = [320, 1, 5, 5] dtype = "float32" min_val = float("-0.21215") @@ -2926,6 +3200,7 @@ class Program_weight_tensor_parameter_273: class Program_weight_tensor_parameter_274: name = "parameter_274" + original_name = "batch_norm2d_51.b_0" shape = [320] dtype = "float32" min_val = float("-1.02069") @@ -2937,6 +3212,7 @@ class Program_weight_tensor_parameter_274: class Program_weight_tensor_parameter_275: name = "parameter_275" + original_name = "batch_norm2d_51.w_0" shape = [320] dtype = "float32" min_val = float("0.581052") @@ -2948,6 +3224,7 @@ class Program_weight_tensor_parameter_275: class Program_weight_tensor_parameter_276: name = "parameter_276" + original_name = "batch_norm2d_51.w_2" shape = [320] dtype = "float32" min_val = float("0.0969674") @@ -2959,6 +3236,7 @@ class Program_weight_tensor_parameter_276: class Program_weight_tensor_parameter_277: name = "parameter_277" + original_name = "batch_norm2d_51.w_1" shape = [320] dtype = "float32" min_val = float("-0.799869") @@ -2970,6 +3248,7 @@ class Program_weight_tensor_parameter_277: class Program_weight_tensor_parameter_278: name = "parameter_278" + original_name = "conv2d_55.w_0" shape = [320, 320, 1, 1] dtype = "float32" min_val = float("-0.372282") @@ -2981,6 +3260,7 @@ class Program_weight_tensor_parameter_278: class Program_weight_tensor_parameter_279: name = "parameter_279" + original_name = "batch_norm2d_50.b_0" shape = [320] dtype = "float32" min_val = float("-1.061") @@ -2992,6 +3272,7 @@ class Program_weight_tensor_parameter_279: class Program_weight_tensor_parameter_280: name = "parameter_280" + original_name = "batch_norm2d_50.w_0" shape = [320] dtype = "float32" min_val = float("0.573956") @@ -3003,6 +3284,7 @@ class Program_weight_tensor_parameter_280: class Program_weight_tensor_parameter_281: name = "parameter_281" + original_name = "batch_norm2d_50.w_2" shape = [320] dtype = "float32" min_val = float("4.67192e-05") @@ -3014,6 +3296,7 @@ class Program_weight_tensor_parameter_281: class Program_weight_tensor_parameter_282: name = "parameter_282" + original_name = "batch_norm2d_50.w_1" shape = [320] dtype = "float32" min_val = float("-0.0566461") @@ -3025,6 +3308,7 @@ class Program_weight_tensor_parameter_282: class Program_weight_tensor_parameter_283: name = "parameter_283" + original_name = "conv2d_54.w_0" shape = [320, 1, 5, 5] dtype = "float32" min_val = float("-0.307488") @@ -3036,6 +3320,7 @@ class Program_weight_tensor_parameter_283: class Program_weight_tensor_parameter_284: name = "parameter_284" + original_name = "batch_norm2d_49.b_0" shape = [160] dtype = "float32" min_val = float("-0.0797254") @@ -3047,6 +3332,7 @@ class Program_weight_tensor_parameter_284: class Program_weight_tensor_parameter_285: name = "parameter_285" + original_name = "batch_norm2d_49.w_0" shape = [160] dtype = "float32" min_val = float("0.052028") @@ -3058,6 +3344,7 @@ class Program_weight_tensor_parameter_285: class Program_weight_tensor_parameter_286: name = "parameter_286" + original_name = "batch_norm2d_49.w_2" shape = [160] dtype = "float32" min_val = float("0.000861177") @@ -3069,6 +3356,7 @@ class Program_weight_tensor_parameter_286: class Program_weight_tensor_parameter_287: name = "parameter_287" + original_name = "batch_norm2d_49.w_1" shape = [160] dtype = "float32" min_val = float("-0.0262198") @@ -3080,6 +3368,7 @@ class Program_weight_tensor_parameter_287: class Program_weight_tensor_parameter_288: name = "parameter_288" + original_name = "conv2d_53.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.317078") @@ -3091,6 +3380,7 @@ class Program_weight_tensor_parameter_288: class Program_weight_tensor_parameter_289: name = "parameter_289" + original_name = "batch_norm2d_48.b_0" shape = [160] dtype = "float32" min_val = float("-0.219784") @@ -3102,6 +3392,7 @@ class Program_weight_tensor_parameter_289: class Program_weight_tensor_parameter_290: name = "parameter_290" + original_name = "batch_norm2d_48.w_0" shape = [160] dtype = "float32" min_val = float("0.0410927") @@ -3113,6 +3404,7 @@ class Program_weight_tensor_parameter_290: class Program_weight_tensor_parameter_291: name = "parameter_291" + original_name = "batch_norm2d_48.w_2" shape = [160] dtype = "float32" min_val = float("0.000551279") @@ -3124,6 +3416,7 @@ class Program_weight_tensor_parameter_291: class Program_weight_tensor_parameter_292: name = "parameter_292" + original_name = "batch_norm2d_48.w_1" shape = [160] dtype = "float32" min_val = float("-0.49396") @@ -3135,6 +3428,7 @@ class Program_weight_tensor_parameter_292: class Program_weight_tensor_parameter_293: name = "parameter_293" + original_name = "conv2d_52.w_0" shape = [160, 1, 5, 5] dtype = "float32" min_val = float("-0.204997") @@ -3146,6 +3440,7 @@ class Program_weight_tensor_parameter_293: class Program_weight_tensor_parameter_294: name = "parameter_294" + original_name = "batch_norm2d_47.b_0" shape = [160] dtype = "float32" min_val = float("-1.34916") @@ -3157,6 +3452,7 @@ class Program_weight_tensor_parameter_294: class Program_weight_tensor_parameter_295: name = "parameter_295" + original_name = "batch_norm2d_47.w_0" shape = [160] dtype = "float32" min_val = float("0.128985") @@ -3168,6 +3464,7 @@ class Program_weight_tensor_parameter_295: class Program_weight_tensor_parameter_296: name = "parameter_296" + original_name = "batch_norm2d_47.w_2" shape = [160] dtype = "float32" min_val = float("0.1482") @@ -3179,6 +3476,7 @@ class Program_weight_tensor_parameter_296: class Program_weight_tensor_parameter_297: name = "parameter_297" + original_name = "batch_norm2d_47.w_1" shape = [160] dtype = "float32" min_val = float("-0.630289") @@ -3190,6 +3488,7 @@ class Program_weight_tensor_parameter_297: class Program_weight_tensor_parameter_298: name = "parameter_298" + original_name = "conv2d_51.w_0" shape = [160, 320, 1, 1] dtype = "float32" min_val = float("-0.355557") @@ -3201,6 +3500,7 @@ class Program_weight_tensor_parameter_298: class Program_weight_tensor_parameter_299: name = "parameter_299" + original_name = "batch_norm2d_46.b_0" shape = [320] dtype = "float32" min_val = float("-0.52523") @@ -3212,6 +3512,7 @@ class Program_weight_tensor_parameter_299: class Program_weight_tensor_parameter_300: name = "parameter_300" + original_name = "batch_norm2d_46.w_0" shape = [320] dtype = "float32" min_val = float("0.621527") @@ -3223,6 +3524,7 @@ class Program_weight_tensor_parameter_300: class Program_weight_tensor_parameter_301: name = "parameter_301" + original_name = "batch_norm2d_46.w_2" shape = [320] dtype = "float32" min_val = float("0.00597836") @@ -3234,6 +3536,7 @@ class Program_weight_tensor_parameter_301: class Program_weight_tensor_parameter_302: name = "parameter_302" + original_name = "batch_norm2d_46.w_1" shape = [320] dtype = "float32" min_val = float("-0.275771") @@ -3245,6 +3548,7 @@ class Program_weight_tensor_parameter_302: class Program_weight_tensor_parameter_303: name = "parameter_303" + original_name = "conv2d_50.w_0" shape = [320, 1, 5, 5] dtype = "float32" min_val = float("-0.265974") @@ -3256,6 +3560,7 @@ class Program_weight_tensor_parameter_303: class Program_weight_tensor_parameter_304: name = "parameter_304" + original_name = "batch_norm2d_45.b_0" shape = [320] dtype = "float32" min_val = float("-0.969353") @@ -3267,6 +3572,7 @@ class Program_weight_tensor_parameter_304: class Program_weight_tensor_parameter_305: name = "parameter_305" + original_name = "batch_norm2d_45.w_0" shape = [320] dtype = "float32" min_val = float("0.69884") @@ -3278,6 +3584,7 @@ class Program_weight_tensor_parameter_305: class Program_weight_tensor_parameter_306: name = "parameter_306" + original_name = "batch_norm2d_45.w_2" shape = [320] dtype = "float32" min_val = float("0.139343") @@ -3289,6 +3596,7 @@ class Program_weight_tensor_parameter_306: class Program_weight_tensor_parameter_307: name = "parameter_307" + original_name = "batch_norm2d_45.w_1" shape = [320] dtype = "float32" min_val = float("-0.629862") @@ -3300,6 +3608,7 @@ class Program_weight_tensor_parameter_307: class Program_weight_tensor_parameter_308: name = "parameter_308" + original_name = "conv2d_49.w_0" shape = [320, 320, 1, 1] dtype = "float32" min_val = float("-0.326183") @@ -3311,6 +3620,7 @@ class Program_weight_tensor_parameter_308: class Program_weight_tensor_parameter_309: name = "parameter_309" + original_name = "batch_norm2d_44.b_0" shape = [320] dtype = "float32" min_val = float("-0.888972") @@ -3322,6 +3632,7 @@ class Program_weight_tensor_parameter_309: class Program_weight_tensor_parameter_310: name = "parameter_310" + original_name = "batch_norm2d_44.w_0" shape = [320] dtype = "float32" min_val = float("0.591744") @@ -3333,6 +3644,7 @@ class Program_weight_tensor_parameter_310: class Program_weight_tensor_parameter_311: name = "parameter_311" + original_name = "batch_norm2d_44.w_2" shape = [320] dtype = "float32" min_val = float("6.31744e-05") @@ -3344,6 +3656,7 @@ class Program_weight_tensor_parameter_311: class Program_weight_tensor_parameter_312: name = "parameter_312" + original_name = "batch_norm2d_44.w_1" shape = [320] dtype = "float32" min_val = float("-0.317887") @@ -3355,6 +3668,7 @@ class Program_weight_tensor_parameter_312: class Program_weight_tensor_parameter_313: name = "parameter_313" + original_name = "conv2d_48.w_0" shape = [320, 1, 5, 5] dtype = "float32" min_val = float("-0.431323") @@ -3366,6 +3680,7 @@ class Program_weight_tensor_parameter_313: class Program_weight_tensor_parameter_314: name = "parameter_314" + original_name = "batch_norm2d_43.b_0" shape = [160] dtype = "float32" min_val = float("-0.232932") @@ -3377,6 +3692,7 @@ class Program_weight_tensor_parameter_314: class Program_weight_tensor_parameter_315: name = "parameter_315" + original_name = "batch_norm2d_43.w_0" shape = [160] dtype = "float32" min_val = float("0.0392113") @@ -3388,6 +3704,7 @@ class Program_weight_tensor_parameter_315: class Program_weight_tensor_parameter_316: name = "parameter_316" + original_name = "batch_norm2d_43.w_2" shape = [160] dtype = "float32" min_val = float("0.00111325") @@ -3399,6 +3716,7 @@ class Program_weight_tensor_parameter_316: class Program_weight_tensor_parameter_317: name = "parameter_317" + original_name = "batch_norm2d_43.w_1" shape = [160] dtype = "float32" min_val = float("-0.0513811") @@ -3410,6 +3728,7 @@ class Program_weight_tensor_parameter_317: class Program_weight_tensor_parameter_318: name = "parameter_318" + original_name = "conv2d_47.w_0" shape = [160, 160, 1, 1] dtype = "float32" min_val = float("-0.398657") @@ -3421,6 +3740,7 @@ class Program_weight_tensor_parameter_318: class Program_weight_tensor_parameter_319: name = "parameter_319" + original_name = "batch_norm2d_42.b_0" shape = [160] dtype = "float32" min_val = float("-0.459831") @@ -3432,6 +3752,7 @@ class Program_weight_tensor_parameter_319: class Program_weight_tensor_parameter_320: name = "parameter_320" + original_name = "batch_norm2d_42.w_0" shape = [160] dtype = "float32" min_val = float("0.0745871") @@ -3443,6 +3764,7 @@ class Program_weight_tensor_parameter_320: class Program_weight_tensor_parameter_321: name = "parameter_321" + original_name = "batch_norm2d_42.w_2" shape = [160] dtype = "float32" min_val = float("0.00108402") @@ -3454,6 +3776,7 @@ class Program_weight_tensor_parameter_321: class Program_weight_tensor_parameter_322: name = "parameter_322" + original_name = "batch_norm2d_42.w_1" shape = [160] dtype = "float32" min_val = float("-0.545314") @@ -3465,6 +3788,7 @@ class Program_weight_tensor_parameter_322: class Program_weight_tensor_parameter_323: name = "parameter_323" + original_name = "conv2d_46.w_0" shape = [160, 1, 5, 5] dtype = "float32" min_val = float("-0.264093") @@ -3476,6 +3800,7 @@ class Program_weight_tensor_parameter_323: class Program_weight_tensor_parameter_324: name = "parameter_324" + original_name = "batch_norm2d_41.b_0" shape = [160] dtype = "float32" min_val = float("-1.50544") @@ -3487,6 +3812,7 @@ class Program_weight_tensor_parameter_324: class Program_weight_tensor_parameter_325: name = "parameter_325" + original_name = "batch_norm2d_41.w_0" shape = [160] dtype = "float32" min_val = float("0.170202") @@ -3498,6 +3824,7 @@ class Program_weight_tensor_parameter_325: class Program_weight_tensor_parameter_326: name = "parameter_326" + original_name = "batch_norm2d_41.w_2" shape = [160] dtype = "float32" min_val = float("0.153327") @@ -3509,6 +3836,7 @@ class Program_weight_tensor_parameter_326: class Program_weight_tensor_parameter_327: name = "parameter_327" + original_name = "batch_norm2d_41.w_1" shape = [160] dtype = "float32" min_val = float("-0.858114") @@ -3520,6 +3848,7 @@ class Program_weight_tensor_parameter_327: class Program_weight_tensor_parameter_328: name = "parameter_328" + original_name = "conv2d_45.w_0" shape = [160, 320, 1, 1] dtype = "float32" min_val = float("-0.491857") @@ -3531,6 +3860,7 @@ class Program_weight_tensor_parameter_328: class Program_weight_tensor_parameter_329: name = "parameter_329" + original_name = "batch_norm2d_40.b_0" shape = [320] dtype = "float32" min_val = float("-1.20321") @@ -3542,6 +3872,7 @@ class Program_weight_tensor_parameter_329: class Program_weight_tensor_parameter_330: name = "parameter_330" + original_name = "batch_norm2d_40.w_0" shape = [320] dtype = "float32" min_val = float("0.504584") @@ -3553,6 +3884,7 @@ class Program_weight_tensor_parameter_330: class Program_weight_tensor_parameter_331: name = "parameter_331" + original_name = "batch_norm2d_40.w_2" shape = [320] dtype = "float32" min_val = float("0.000653724") @@ -3564,6 +3896,7 @@ class Program_weight_tensor_parameter_331: class Program_weight_tensor_parameter_332: name = "parameter_332" + original_name = "batch_norm2d_40.w_1" shape = [320] dtype = "float32" min_val = float("-0.410034") @@ -3575,6 +3908,7 @@ class Program_weight_tensor_parameter_332: class Program_weight_tensor_parameter_333: name = "parameter_333" + original_name = "conv2d_44.w_0" shape = [320, 1, 5, 5] dtype = "float32" min_val = float("-0.40731") @@ -3586,6 +3920,7 @@ class Program_weight_tensor_parameter_333: class Program_weight_tensor_parameter_334: name = "parameter_334" + original_name = "batch_norm2d_39.b_0" shape = [320] dtype = "float32" min_val = float("-1.51559") @@ -3597,6 +3932,7 @@ class Program_weight_tensor_parameter_334: class Program_weight_tensor_parameter_335: name = "parameter_335" + original_name = "batch_norm2d_39.w_0" shape = [320] dtype = "float32" min_val = float("0.198973") @@ -3608,6 +3944,7 @@ class Program_weight_tensor_parameter_335: class Program_weight_tensor_parameter_336: name = "parameter_336" + original_name = "batch_norm2d_39.w_2" shape = [320] dtype = "float32" min_val = float("0.17924") @@ -3619,6 +3956,7 @@ class Program_weight_tensor_parameter_336: class Program_weight_tensor_parameter_337: name = "parameter_337" + original_name = "batch_norm2d_39.w_1" shape = [320] dtype = "float32" min_val = float("-1.36412") @@ -3630,6 +3968,7 @@ class Program_weight_tensor_parameter_337: class Program_weight_tensor_parameter_338: name = "parameter_338" + original_name = "conv2d_43.w_0" shape = [320, 320, 1, 1] dtype = "float32" min_val = float("-0.433226") @@ -3641,6 +3980,7 @@ class Program_weight_tensor_parameter_338: class Program_weight_tensor_parameter_339: name = "parameter_339" + original_name = "batch_norm2d_38.b_0" shape = [320] dtype = "float32" min_val = float("-0.701718") @@ -3652,6 +3992,7 @@ class Program_weight_tensor_parameter_339: class Program_weight_tensor_parameter_340: name = "parameter_340" + original_name = "batch_norm2d_38.w_0" shape = [320] dtype = "float32" min_val = float("0.524093") @@ -3663,6 +4004,7 @@ class Program_weight_tensor_parameter_340: class Program_weight_tensor_parameter_341: name = "parameter_341" + original_name = "batch_norm2d_38.w_2" shape = [320] dtype = "float32" min_val = float("6.54846e-05") @@ -3674,6 +4016,7 @@ class Program_weight_tensor_parameter_341: class Program_weight_tensor_parameter_342: name = "parameter_342" + original_name = "batch_norm2d_38.w_1" shape = [320] dtype = "float32" min_val = float("-0.657219") @@ -3685,6 +4028,7 @@ class Program_weight_tensor_parameter_342: class Program_weight_tensor_parameter_343: name = "parameter_343" + original_name = "conv2d_42.w_0" shape = [320, 1, 5, 5] dtype = "float32" min_val = float("-0.464143") @@ -3696,6 +4040,7 @@ class Program_weight_tensor_parameter_343: class Program_weight_tensor_parameter_344: name = "parameter_344" + original_name = "batch_norm2d_37.b_0" shape = [160] dtype = "float32" min_val = float("-0.608445") @@ -3707,6 +4052,7 @@ class Program_weight_tensor_parameter_344: class Program_weight_tensor_parameter_345: name = "parameter_345" + original_name = "batch_norm2d_37.w_0" shape = [160] dtype = "float32" min_val = float("0.206023") @@ -3718,6 +4064,7 @@ class Program_weight_tensor_parameter_345: class Program_weight_tensor_parameter_346: name = "parameter_346" + original_name = "batch_norm2d_37.w_2" shape = [160] dtype = "float32" min_val = float("0.29916") @@ -3729,6 +4076,7 @@ class Program_weight_tensor_parameter_346: class Program_weight_tensor_parameter_347: name = "parameter_347" + original_name = "batch_norm2d_37.w_1" shape = [160] dtype = "float32" min_val = float("-0.880782") @@ -3740,6 +4088,7 @@ class Program_weight_tensor_parameter_347: class Program_weight_tensor_parameter_348: name = "parameter_348" + original_name = "conv2d_41.w_0" shape = [160, 320, 1, 1] dtype = "float32" min_val = float("-0.360981") @@ -3751,6 +4100,7 @@ class Program_weight_tensor_parameter_348: class Program_weight_tensor_parameter_349: name = "parameter_349" + original_name = "batch_norm2d_36.b_0" shape = [320] dtype = "float32" min_val = float("-0.737954") @@ -3762,6 +4112,7 @@ class Program_weight_tensor_parameter_349: class Program_weight_tensor_parameter_350: name = "parameter_350" + original_name = "batch_norm2d_36.w_0" shape = [320] dtype = "float32" min_val = float("0.633432") @@ -3773,6 +4124,7 @@ class Program_weight_tensor_parameter_350: class Program_weight_tensor_parameter_351: name = "parameter_351" + original_name = "batch_norm2d_36.w_2" shape = [320] dtype = "float32" min_val = float("0.0044455") @@ -3784,6 +4136,7 @@ class Program_weight_tensor_parameter_351: class Program_weight_tensor_parameter_352: name = "parameter_352" + original_name = "batch_norm2d_36.w_1" shape = [320] dtype = "float32" min_val = float("-0.253354") @@ -3795,6 +4148,7 @@ class Program_weight_tensor_parameter_352: class Program_weight_tensor_parameter_353: name = "parameter_353" + original_name = "conv2d_40.w_0" shape = [320, 1, 5, 5] dtype = "float32" min_val = float("-0.457842") @@ -3806,6 +4160,7 @@ class Program_weight_tensor_parameter_353: class Program_weight_tensor_parameter_354: name = "parameter_354" + original_name = "batch_norm2d_35.b_0" shape = [320] dtype = "float32" min_val = float("-1.02394") @@ -3817,6 +4172,7 @@ class Program_weight_tensor_parameter_354: class Program_weight_tensor_parameter_355: name = "parameter_355" + original_name = "batch_norm2d_35.w_0" shape = [320] dtype = "float32" min_val = float("0.375157") @@ -3828,6 +4184,7 @@ class Program_weight_tensor_parameter_355: class Program_weight_tensor_parameter_356: name = "parameter_356" + original_name = "batch_norm2d_35.w_2" shape = [320] dtype = "float32" min_val = float("0.208465") @@ -3839,6 +4196,7 @@ class Program_weight_tensor_parameter_356: class Program_weight_tensor_parameter_357: name = "parameter_357" + original_name = "batch_norm2d_35.w_1" shape = [320] dtype = "float32" min_val = float("-2.02841") @@ -3850,6 +4208,7 @@ class Program_weight_tensor_parameter_357: class Program_weight_tensor_parameter_358: name = "parameter_358" + original_name = "conv2d_39.w_0" shape = [320, 320, 1, 1] dtype = "float32" min_val = float("-0.326319") @@ -3861,6 +4220,7 @@ class Program_weight_tensor_parameter_358: class Program_weight_tensor_parameter_359: name = "parameter_359" + original_name = "batch_norm2d_34.b_0" shape = [320] dtype = "float32" min_val = float("-1.12875") @@ -3872,6 +4232,7 @@ class Program_weight_tensor_parameter_359: class Program_weight_tensor_parameter_360: name = "parameter_360" + original_name = "batch_norm2d_34.w_0" shape = [320] dtype = "float32" min_val = float("0.708274") @@ -3883,6 +4244,7 @@ class Program_weight_tensor_parameter_360: class Program_weight_tensor_parameter_361: name = "parameter_361" + original_name = "batch_norm2d_34.w_2" shape = [320] dtype = "float32" min_val = float("6.84383e-05") @@ -3894,6 +4256,7 @@ class Program_weight_tensor_parameter_361: class Program_weight_tensor_parameter_362: name = "parameter_362" + original_name = "batch_norm2d_34.w_1" shape = [320] dtype = "float32" min_val = float("-0.0596305") @@ -3905,6 +4268,7 @@ class Program_weight_tensor_parameter_362: class Program_weight_tensor_parameter_363: name = "parameter_363" + original_name = "conv2d_38.w_0" shape = [320, 1, 5, 5] dtype = "float32" min_val = float("-0.51661") @@ -3916,6 +4280,7 @@ class Program_weight_tensor_parameter_363: class Program_weight_tensor_parameter_364: name = "parameter_364" + original_name = "batch_norm2d_29.b_0" shape = [160] dtype = "float32" min_val = float("-0.264581") @@ -3927,6 +4292,7 @@ class Program_weight_tensor_parameter_364: class Program_weight_tensor_parameter_365: name = "parameter_365" + original_name = "batch_norm2d_29.w_0" shape = [160] dtype = "float32" min_val = float("0.0624614") @@ -3938,6 +4304,7 @@ class Program_weight_tensor_parameter_365: class Program_weight_tensor_parameter_366: name = "parameter_366" + original_name = "batch_norm2d_29.w_2" shape = [160] dtype = "float32" min_val = float("1.44429") @@ -3949,6 +4316,7 @@ class Program_weight_tensor_parameter_366: class Program_weight_tensor_parameter_367: name = "parameter_367" + original_name = "batch_norm2d_29.w_1" shape = [160] dtype = "float32" min_val = float("-1.33424") @@ -3960,6 +4328,7 @@ class Program_weight_tensor_parameter_367: class Program_weight_tensor_parameter_368: name = "parameter_368" + original_name = "conv2d_33.w_0" shape = [160, 1024, 1, 1] dtype = "float32" min_val = float("-0.362239") @@ -3971,6 +4340,7 @@ class Program_weight_tensor_parameter_368: class Program_weight_tensor_parameter_369: name = "parameter_369" + original_name = "batch_norm2d_28.b_0" shape = [160] dtype = "float32" min_val = float("-0.106552") @@ -3982,6 +4352,7 @@ class Program_weight_tensor_parameter_369: class Program_weight_tensor_parameter_370: name = "parameter_370" + original_name = "batch_norm2d_28.w_0" shape = [160] dtype = "float32" min_val = float("0.04519") @@ -3993,6 +4364,7 @@ class Program_weight_tensor_parameter_370: class Program_weight_tensor_parameter_371: name = "parameter_371" + original_name = "batch_norm2d_28.w_2" shape = [160] dtype = "float32" min_val = float("0.0401099") @@ -4004,6 +4376,7 @@ class Program_weight_tensor_parameter_371: class Program_weight_tensor_parameter_372: name = "parameter_372" + original_name = "batch_norm2d_28.w_1" shape = [160] dtype = "float32" min_val = float("-0.693841") @@ -4015,6 +4388,7 @@ class Program_weight_tensor_parameter_372: class Program_weight_tensor_parameter_373: name = "parameter_373" + original_name = "conv2d_32.w_0" shape = [160, 512, 1, 1] dtype = "float32" min_val = float("-0.166586") @@ -4026,6 +4400,7 @@ class Program_weight_tensor_parameter_373: class Program_weight_tensor_parameter_374: name = "parameter_374" + original_name = "batch_norm2d_27.b_0" shape = [160] dtype = "float32" min_val = float("-0.153379") @@ -4037,6 +4412,7 @@ class Program_weight_tensor_parameter_374: class Program_weight_tensor_parameter_375: name = "parameter_375" + original_name = "batch_norm2d_27.w_0" shape = [160] dtype = "float32" min_val = float("-0.0574355") @@ -4048,6 +4424,7 @@ class Program_weight_tensor_parameter_375: class Program_weight_tensor_parameter_376: name = "parameter_376" + original_name = "batch_norm2d_27.w_2" shape = [160] dtype = "float32" min_val = float("0.0275042") @@ -4059,6 +4436,7 @@ class Program_weight_tensor_parameter_376: class Program_weight_tensor_parameter_377: name = "parameter_377" + original_name = "batch_norm2d_27.w_1" shape = [160] dtype = "float32" min_val = float("-0.947276") @@ -4070,6 +4448,7 @@ class Program_weight_tensor_parameter_377: class Program_weight_tensor_parameter_378: name = "parameter_378" + original_name = "conv2d_31.w_0" shape = [160, 256, 1, 1] dtype = "float32" min_val = float("-0.270755") @@ -4081,6 +4460,7 @@ class Program_weight_tensor_parameter_378: class Program_weight_tensor_parameter_379: name = "parameter_379" + original_name = "batch_norm2d_26.b_0" shape = [1024] dtype = "float32" min_val = float("-4.59365") @@ -4092,6 +4472,7 @@ class Program_weight_tensor_parameter_379: class Program_weight_tensor_parameter_380: name = "parameter_380" + original_name = "batch_norm2d_26.w_0" shape = [1024] dtype = "float32" min_val = float("1.80103") @@ -4103,6 +4484,7 @@ class Program_weight_tensor_parameter_380: class Program_weight_tensor_parameter_381: name = "parameter_381" + original_name = "batch_norm2d_26.w_2" shape = [1024] dtype = "float32" min_val = float("0.0507408") @@ -4114,6 +4496,7 @@ class Program_weight_tensor_parameter_381: class Program_weight_tensor_parameter_382: name = "parameter_382" + original_name = "batch_norm2d_26.w_1" shape = [1024] dtype = "float32" min_val = float("-0.544802") @@ -4125,6 +4508,7 @@ class Program_weight_tensor_parameter_382: class Program_weight_tensor_parameter_383: name = "parameter_383" + original_name = "conv2d_30.w_0" shape = [1024, 1024, 1, 1] dtype = "float32" min_val = float("-0.267156") @@ -4136,6 +4520,7 @@ class Program_weight_tensor_parameter_383: class Program_weight_tensor_parameter_384: name = "parameter_384" + original_name = "conv2d_29.b_0" shape = [1024] dtype = "float32" min_val = float("-0.0733212") @@ -4147,6 +4532,7 @@ class Program_weight_tensor_parameter_384: class Program_weight_tensor_parameter_385: name = "parameter_385" + original_name = "conv2d_29.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.352913") @@ -4158,6 +4544,7 @@ class Program_weight_tensor_parameter_385: class Program_weight_tensor_parameter_386: name = "parameter_386" + original_name = "conv2d_28.b_0" shape = [256] dtype = "float32" min_val = float("-0.011965") @@ -4169,6 +4556,7 @@ class Program_weight_tensor_parameter_386: class Program_weight_tensor_parameter_387: name = "parameter_387" + original_name = "conv2d_28.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.319736") @@ -4180,6 +4568,7 @@ class Program_weight_tensor_parameter_387: class Program_weight_tensor_parameter_388: name = "parameter_388" + original_name = "batch_norm2d_25.b_0" shape = [1024] dtype = "float32" min_val = float("-4.03939") @@ -4191,6 +4580,7 @@ class Program_weight_tensor_parameter_388: class Program_weight_tensor_parameter_389: name = "parameter_389" + original_name = "batch_norm2d_25.w_0" shape = [1024] dtype = "float32" min_val = float("0.251479") @@ -4202,6 +4592,7 @@ class Program_weight_tensor_parameter_389: class Program_weight_tensor_parameter_390: name = "parameter_390" + original_name = "batch_norm2d_25.w_2" shape = [1024] dtype = "float32" min_val = float("0.000143616") @@ -4213,6 +4604,7 @@ class Program_weight_tensor_parameter_390: class Program_weight_tensor_parameter_391: name = "parameter_391" + original_name = "batch_norm2d_25.w_1" shape = [1024] dtype = "float32" min_val = float("-1.99176") @@ -4224,6 +4616,7 @@ class Program_weight_tensor_parameter_391: class Program_weight_tensor_parameter_392: name = "parameter_392" + original_name = "conv2d_27.w_0" shape = [1024, 1, 5, 5] dtype = "float32" min_val = float("-0.512854") @@ -4235,6 +4628,7 @@ class Program_weight_tensor_parameter_392: class Program_weight_tensor_parameter_393: name = "parameter_393" + original_name = "batch_norm2d_24.b_0" shape = [1024] dtype = "float32" min_val = float("-3.08876") @@ -4246,6 +4640,7 @@ class Program_weight_tensor_parameter_393: class Program_weight_tensor_parameter_394: name = "parameter_394" + original_name = "batch_norm2d_24.w_0" shape = [1024] dtype = "float32" min_val = float("-0.0915386") @@ -4257,6 +4652,7 @@ class Program_weight_tensor_parameter_394: class Program_weight_tensor_parameter_395: name = "parameter_395" + original_name = "batch_norm2d_24.w_2" shape = [1024] dtype = "float32" min_val = float("0.0737215") @@ -4268,6 +4664,7 @@ class Program_weight_tensor_parameter_395: class Program_weight_tensor_parameter_396: name = "parameter_396" + original_name = "batch_norm2d_24.w_1" shape = [1024] dtype = "float32" min_val = float("-0.978417") @@ -4279,6 +4676,7 @@ class Program_weight_tensor_parameter_396: class Program_weight_tensor_parameter_397: name = "parameter_397" + original_name = "conv2d_26.w_0" shape = [1024, 512, 1, 1] dtype = "float32" min_val = float("-0.346647") @@ -4290,6 +4688,7 @@ class Program_weight_tensor_parameter_397: class Program_weight_tensor_parameter_398: name = "parameter_398" + original_name = "conv2d_25.b_0" shape = [512] dtype = "float32" min_val = float("-0.112261") @@ -4301,6 +4700,7 @@ class Program_weight_tensor_parameter_398: class Program_weight_tensor_parameter_399: name = "parameter_399" + original_name = "conv2d_25.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.294697") @@ -4312,6 +4712,7 @@ class Program_weight_tensor_parameter_399: class Program_weight_tensor_parameter_400: name = "parameter_400" + original_name = "conv2d_24.b_0" shape = [128] dtype = "float32" min_val = float("-0.00249438") @@ -4323,6 +4724,7 @@ class Program_weight_tensor_parameter_400: class Program_weight_tensor_parameter_401: name = "parameter_401" + original_name = "conv2d_24.w_0" shape = [128, 512, 1, 1] dtype = "float32" min_val = float("-0.358139") @@ -4334,6 +4736,7 @@ class Program_weight_tensor_parameter_401: class Program_weight_tensor_parameter_402: name = "parameter_402" + original_name = "batch_norm2d_23.b_0" shape = [512] dtype = "float32" min_val = float("-1.41417") @@ -4345,6 +4748,7 @@ class Program_weight_tensor_parameter_402: class Program_weight_tensor_parameter_403: name = "parameter_403" + original_name = "batch_norm2d_23.w_0" shape = [512] dtype = "float32" min_val = float("0.636134") @@ -4356,6 +4760,7 @@ class Program_weight_tensor_parameter_403: class Program_weight_tensor_parameter_404: name = "parameter_404" + original_name = "batch_norm2d_23.w_2" shape = [512] dtype = "float32" min_val = float("0.000240487") @@ -4367,6 +4772,7 @@ class Program_weight_tensor_parameter_404: class Program_weight_tensor_parameter_405: name = "parameter_405" + original_name = "batch_norm2d_23.w_1" shape = [512] dtype = "float32" min_val = float("-1.44789") @@ -4378,6 +4784,7 @@ class Program_weight_tensor_parameter_405: class Program_weight_tensor_parameter_406: name = "parameter_406" + original_name = "conv2d_23.w_0" shape = [512, 1, 5, 5] dtype = "float32" min_val = float("-0.244106") @@ -4389,6 +4796,7 @@ class Program_weight_tensor_parameter_406: class Program_weight_tensor_parameter_407: name = "parameter_407" + original_name = "batch_norm2d_22.b_0" shape = [512] dtype = "float32" min_val = float("-2.49342") @@ -4400,6 +4808,7 @@ class Program_weight_tensor_parameter_407: class Program_weight_tensor_parameter_408: name = "parameter_408" + original_name = "batch_norm2d_22.w_0" shape = [512] dtype = "float32" min_val = float("-1.02861") @@ -4411,6 +4820,7 @@ class Program_weight_tensor_parameter_408: class Program_weight_tensor_parameter_409: name = "parameter_409" + original_name = "batch_norm2d_22.w_2" shape = [512] dtype = "float32" min_val = float("0.624996") @@ -4422,6 +4832,7 @@ class Program_weight_tensor_parameter_409: class Program_weight_tensor_parameter_410: name = "parameter_410" + original_name = "batch_norm2d_22.w_1" shape = [512] dtype = "float32" min_val = float("-4.31712") @@ -4433,6 +4844,7 @@ class Program_weight_tensor_parameter_410: class Program_weight_tensor_parameter_411: name = "parameter_411" + original_name = "conv2d_22.w_0" shape = [512, 512, 1, 1] dtype = "float32" min_val = float("-0.506002") @@ -4444,6 +4856,7 @@ class Program_weight_tensor_parameter_411: class Program_weight_tensor_parameter_412: name = "parameter_412" + original_name = "batch_norm2d_21.b_0" shape = [512] dtype = "float32" min_val = float("-4.50513") @@ -4455,6 +4868,7 @@ class Program_weight_tensor_parameter_412: class Program_weight_tensor_parameter_413: name = "parameter_413" + original_name = "batch_norm2d_21.w_0" shape = [512] dtype = "float32" min_val = float("0.536682") @@ -4466,6 +4880,7 @@ class Program_weight_tensor_parameter_413: class Program_weight_tensor_parameter_414: name = "parameter_414" + original_name = "batch_norm2d_21.w_2" shape = [512] dtype = "float32" min_val = float("0.000220032") @@ -4477,6 +4892,7 @@ class Program_weight_tensor_parameter_414: class Program_weight_tensor_parameter_415: name = "parameter_415" + original_name = "batch_norm2d_21.w_1" shape = [512] dtype = "float32" min_val = float("-1.75606") @@ -4488,6 +4904,7 @@ class Program_weight_tensor_parameter_415: class Program_weight_tensor_parameter_416: name = "parameter_416" + original_name = "conv2d_21.w_0" shape = [512, 1, 5, 5] dtype = "float32" min_val = float("-0.604931") @@ -4499,6 +4916,7 @@ class Program_weight_tensor_parameter_416: class Program_weight_tensor_parameter_417: name = "parameter_417" + original_name = "batch_norm2d_20.b_0" shape = [512] dtype = "float32" min_val = float("-3.05432") @@ -4510,6 +4928,7 @@ class Program_weight_tensor_parameter_417: class Program_weight_tensor_parameter_418: name = "parameter_418" + original_name = "batch_norm2d_20.w_0" shape = [512] dtype = "float32" min_val = float("-0.0930345") @@ -4521,6 +4940,7 @@ class Program_weight_tensor_parameter_418: class Program_weight_tensor_parameter_419: name = "parameter_419" + original_name = "batch_norm2d_20.w_2" shape = [512] dtype = "float32" min_val = float("0.424618") @@ -4532,6 +4952,7 @@ class Program_weight_tensor_parameter_419: class Program_weight_tensor_parameter_420: name = "parameter_420" + original_name = "batch_norm2d_20.w_1" shape = [512] dtype = "float32" min_val = float("-4.57231") @@ -4543,6 +4964,7 @@ class Program_weight_tensor_parameter_420: class Program_weight_tensor_parameter_421: name = "parameter_421" + original_name = "conv2d_20.w_0" shape = [512, 512, 1, 1] dtype = "float32" min_val = float("-0.628397") @@ -4554,6 +4976,7 @@ class Program_weight_tensor_parameter_421: class Program_weight_tensor_parameter_422: name = "parameter_422" + original_name = "batch_norm2d_19.b_0" shape = [512] dtype = "float32" min_val = float("-3.62744") @@ -4565,6 +4988,7 @@ class Program_weight_tensor_parameter_422: class Program_weight_tensor_parameter_423: name = "parameter_423" + original_name = "batch_norm2d_19.w_0" shape = [512] dtype = "float32" min_val = float("0.452706") @@ -4576,6 +5000,7 @@ class Program_weight_tensor_parameter_423: class Program_weight_tensor_parameter_424: name = "parameter_424" + original_name = "batch_norm2d_19.w_2" shape = [512] dtype = "float32" min_val = float("0.000284192") @@ -4587,6 +5012,7 @@ class Program_weight_tensor_parameter_424: class Program_weight_tensor_parameter_425: name = "parameter_425" + original_name = "batch_norm2d_19.w_1" shape = [512] dtype = "float32" min_val = float("-6.571") @@ -4598,6 +5024,7 @@ class Program_weight_tensor_parameter_425: class Program_weight_tensor_parameter_426: name = "parameter_426" + original_name = "conv2d_19.w_0" shape = [512, 1, 5, 5] dtype = "float32" min_val = float("-0.625063") @@ -4609,6 +5036,7 @@ class Program_weight_tensor_parameter_426: class Program_weight_tensor_parameter_427: name = "parameter_427" + original_name = "batch_norm2d_18.b_0" shape = [512] dtype = "float32" min_val = float("-3.62172") @@ -4620,6 +5048,7 @@ class Program_weight_tensor_parameter_427: class Program_weight_tensor_parameter_428: name = "parameter_428" + original_name = "batch_norm2d_18.w_0" shape = [512] dtype = "float32" min_val = float("0.0580161") @@ -4631,6 +5060,7 @@ class Program_weight_tensor_parameter_428: class Program_weight_tensor_parameter_429: name = "parameter_429" + original_name = "batch_norm2d_18.w_2" shape = [512] dtype = "float32" min_val = float("0.43543") @@ -4642,6 +5072,7 @@ class Program_weight_tensor_parameter_429: class Program_weight_tensor_parameter_430: name = "parameter_430" + original_name = "batch_norm2d_18.w_1" shape = [512] dtype = "float32" min_val = float("-3.60351") @@ -4653,6 +5084,7 @@ class Program_weight_tensor_parameter_430: class Program_weight_tensor_parameter_431: name = "parameter_431" + original_name = "conv2d_18.w_0" shape = [512, 512, 1, 1] dtype = "float32" min_val = float("-0.468574") @@ -4664,6 +5096,7 @@ class Program_weight_tensor_parameter_431: class Program_weight_tensor_parameter_432: name = "parameter_432" + original_name = "batch_norm2d_17.b_0" shape = [512] dtype = "float32" min_val = float("-2.59304") @@ -4675,6 +5108,7 @@ class Program_weight_tensor_parameter_432: class Program_weight_tensor_parameter_433: name = "parameter_433" + original_name = "batch_norm2d_17.w_0" shape = [512] dtype = "float32" min_val = float("0.439846") @@ -4686,6 +5120,7 @@ class Program_weight_tensor_parameter_433: class Program_weight_tensor_parameter_434: name = "parameter_434" + original_name = "batch_norm2d_17.w_2" shape = [512] dtype = "float32" min_val = float("0.000185541") @@ -4697,6 +5132,7 @@ class Program_weight_tensor_parameter_434: class Program_weight_tensor_parameter_435: name = "parameter_435" + original_name = "batch_norm2d_17.w_1" shape = [512] dtype = "float32" min_val = float("-4.14991") @@ -4708,6 +5144,7 @@ class Program_weight_tensor_parameter_435: class Program_weight_tensor_parameter_436: name = "parameter_436" + original_name = "conv2d_17.w_0" shape = [512, 1, 5, 5] dtype = "float32" min_val = float("-0.632903") @@ -4719,6 +5156,7 @@ class Program_weight_tensor_parameter_436: class Program_weight_tensor_parameter_437: name = "parameter_437" + original_name = "batch_norm2d_16.b_0" shape = [512] dtype = "float32" min_val = float("-2.83441") @@ -4730,6 +5168,7 @@ class Program_weight_tensor_parameter_437: class Program_weight_tensor_parameter_438: name = "parameter_438" + original_name = "batch_norm2d_16.w_0" shape = [512] dtype = "float32" min_val = float("0.0560199") @@ -4741,6 +5180,7 @@ class Program_weight_tensor_parameter_438: class Program_weight_tensor_parameter_439: name = "parameter_439" + original_name = "batch_norm2d_16.w_2" shape = [512] dtype = "float32" min_val = float("0.477085") @@ -4752,6 +5192,7 @@ class Program_weight_tensor_parameter_439: class Program_weight_tensor_parameter_440: name = "parameter_440" + original_name = "batch_norm2d_16.w_1" shape = [512] dtype = "float32" min_val = float("-4.34208") @@ -4763,6 +5204,7 @@ class Program_weight_tensor_parameter_440: class Program_weight_tensor_parameter_441: name = "parameter_441" + original_name = "conv2d_16.w_0" shape = [512, 512, 1, 1] dtype = "float32" min_val = float("-0.560703") @@ -4774,6 +5216,7 @@ class Program_weight_tensor_parameter_441: class Program_weight_tensor_parameter_442: name = "parameter_442" + original_name = "batch_norm2d_15.b_0" shape = [512] dtype = "float32" min_val = float("-3.39034") @@ -4785,6 +5228,7 @@ class Program_weight_tensor_parameter_442: class Program_weight_tensor_parameter_443: name = "parameter_443" + original_name = "batch_norm2d_15.w_0" shape = [512] dtype = "float32" min_val = float("0.473573") @@ -4796,6 +5240,7 @@ class Program_weight_tensor_parameter_443: class Program_weight_tensor_parameter_444: name = "parameter_444" + original_name = "batch_norm2d_15.w_2" shape = [512] dtype = "float32" min_val = float("0.000181706") @@ -4807,6 +5252,7 @@ class Program_weight_tensor_parameter_444: class Program_weight_tensor_parameter_445: name = "parameter_445" + original_name = "batch_norm2d_15.w_1" shape = [512] dtype = "float32" min_val = float("-2.40472") @@ -4818,6 +5264,7 @@ class Program_weight_tensor_parameter_445: class Program_weight_tensor_parameter_446: name = "parameter_446" + original_name = "conv2d_15.w_0" shape = [512, 1, 5, 5] dtype = "float32" min_val = float("-0.635629") @@ -4829,6 +5276,7 @@ class Program_weight_tensor_parameter_446: class Program_weight_tensor_parameter_447: name = "parameter_447" + original_name = "batch_norm2d_14.b_0" shape = [512] dtype = "float32" min_val = float("-2.94189") @@ -4840,6 +5288,7 @@ class Program_weight_tensor_parameter_447: class Program_weight_tensor_parameter_448: name = "parameter_448" + original_name = "batch_norm2d_14.w_0" shape = [512] dtype = "float32" min_val = float("-0.0809755") @@ -4851,6 +5300,7 @@ class Program_weight_tensor_parameter_448: class Program_weight_tensor_parameter_449: name = "parameter_449" + original_name = "batch_norm2d_14.w_2" shape = [512] dtype = "float32" min_val = float("0.238356") @@ -4862,6 +5312,7 @@ class Program_weight_tensor_parameter_449: class Program_weight_tensor_parameter_450: name = "parameter_450" + original_name = "batch_norm2d_14.w_1" shape = [512] dtype = "float32" min_val = float("-2.90686") @@ -4873,6 +5324,7 @@ class Program_weight_tensor_parameter_450: class Program_weight_tensor_parameter_451: name = "parameter_451" + original_name = "conv2d_14.w_0" shape = [512, 512, 1, 1] dtype = "float32" min_val = float("-0.593518") @@ -4884,6 +5336,7 @@ class Program_weight_tensor_parameter_451: class Program_weight_tensor_parameter_452: name = "parameter_452" + original_name = "batch_norm2d_13.b_0" shape = [512] dtype = "float32" min_val = float("-5.74784") @@ -4895,6 +5348,7 @@ class Program_weight_tensor_parameter_452: class Program_weight_tensor_parameter_453: name = "parameter_453" + original_name = "batch_norm2d_13.w_0" shape = [512] dtype = "float32" min_val = float("0.434059") @@ -4906,6 +5360,7 @@ class Program_weight_tensor_parameter_453: class Program_weight_tensor_parameter_454: name = "parameter_454" + original_name = "batch_norm2d_13.w_2" shape = [512] dtype = "float32" min_val = float("0.000167347") @@ -4917,6 +5372,7 @@ class Program_weight_tensor_parameter_454: class Program_weight_tensor_parameter_455: name = "parameter_455" + original_name = "batch_norm2d_13.w_1" shape = [512] dtype = "float32" min_val = float("-3.60431") @@ -4928,6 +5384,7 @@ class Program_weight_tensor_parameter_455: class Program_weight_tensor_parameter_456: name = "parameter_456" + original_name = "conv2d_13.w_0" shape = [512, 1, 5, 5] dtype = "float32" min_val = float("-0.640492") @@ -4939,6 +5396,7 @@ class Program_weight_tensor_parameter_456: class Program_weight_tensor_parameter_457: name = "parameter_457" + original_name = "batch_norm2d_12.b_0" shape = [512] dtype = "float32" min_val = float("-1.8037") @@ -4950,6 +5408,7 @@ class Program_weight_tensor_parameter_457: class Program_weight_tensor_parameter_458: name = "parameter_458" + original_name = "batch_norm2d_12.w_0" shape = [512] dtype = "float32" min_val = float("-0.320595") @@ -4961,6 +5420,7 @@ class Program_weight_tensor_parameter_458: class Program_weight_tensor_parameter_459: name = "parameter_459" + original_name = "batch_norm2d_12.w_2" shape = [512] dtype = "float32" min_val = float("0.253849") @@ -4972,6 +5432,7 @@ class Program_weight_tensor_parameter_459: class Program_weight_tensor_parameter_460: name = "parameter_460" + original_name = "batch_norm2d_12.w_1" shape = [512] dtype = "float32" min_val = float("-4.89159") @@ -4983,6 +5444,7 @@ class Program_weight_tensor_parameter_460: class Program_weight_tensor_parameter_461: name = "parameter_461" + original_name = "conv2d_12.w_0" shape = [512, 256, 1, 1] dtype = "float32" min_val = float("-0.610816") @@ -4994,6 +5456,7 @@ class Program_weight_tensor_parameter_461: class Program_weight_tensor_parameter_462: name = "parameter_462" + original_name = "batch_norm2d_11.b_0" shape = [256] dtype = "float32" min_val = float("-2.50714") @@ -5005,6 +5468,7 @@ class Program_weight_tensor_parameter_462: class Program_weight_tensor_parameter_463: name = "parameter_463" + original_name = "batch_norm2d_11.w_0" shape = [256] dtype = "float32" min_val = float("0.314736") @@ -5016,6 +5480,7 @@ class Program_weight_tensor_parameter_463: class Program_weight_tensor_parameter_464: name = "parameter_464" + original_name = "batch_norm2d_11.w_2" shape = [256] dtype = "float32" min_val = float("0.000171071") @@ -5027,6 +5492,7 @@ class Program_weight_tensor_parameter_464: class Program_weight_tensor_parameter_465: name = "parameter_465" + original_name = "batch_norm2d_11.w_1" shape = [256] dtype = "float32" min_val = float("-1.27212") @@ -5038,6 +5504,7 @@ class Program_weight_tensor_parameter_465: class Program_weight_tensor_parameter_466: name = "parameter_466" + original_name = "conv2d_11.w_0" shape = [256, 1, 3, 3] dtype = "float32" min_val = float("-0.27563") @@ -5049,6 +5516,7 @@ class Program_weight_tensor_parameter_466: class Program_weight_tensor_parameter_467: name = "parameter_467" + original_name = "batch_norm2d_10.b_0" shape = [256] dtype = "float32" min_val = float("-2.74923") @@ -5060,6 +5528,7 @@ class Program_weight_tensor_parameter_467: class Program_weight_tensor_parameter_468: name = "parameter_468" + original_name = "batch_norm2d_10.w_0" shape = [256] dtype = "float32" min_val = float("0.0711412") @@ -5071,6 +5540,7 @@ class Program_weight_tensor_parameter_468: class Program_weight_tensor_parameter_469: name = "parameter_469" + original_name = "batch_norm2d_10.w_2" shape = [256] dtype = "float32" min_val = float("0.153933") @@ -5082,6 +5552,7 @@ class Program_weight_tensor_parameter_469: class Program_weight_tensor_parameter_470: name = "parameter_470" + original_name = "batch_norm2d_10.w_1" shape = [256] dtype = "float32" min_val = float("-3.9339") @@ -5093,6 +5564,7 @@ class Program_weight_tensor_parameter_470: class Program_weight_tensor_parameter_471: name = "parameter_471" + original_name = "conv2d_10.w_0" shape = [256, 256, 1, 1] dtype = "float32" min_val = float("-0.642075") @@ -5104,6 +5576,7 @@ class Program_weight_tensor_parameter_471: class Program_weight_tensor_parameter_472: name = "parameter_472" + original_name = "batch_norm2d_9.b_0" shape = [256] dtype = "float32" min_val = float("-1.91748") @@ -5115,6 +5588,7 @@ class Program_weight_tensor_parameter_472: class Program_weight_tensor_parameter_473: name = "parameter_473" + original_name = "batch_norm2d_9.w_0" shape = [256] dtype = "float32" min_val = float("0.306298") @@ -5126,6 +5600,7 @@ class Program_weight_tensor_parameter_473: class Program_weight_tensor_parameter_474: name = "parameter_474" + original_name = "batch_norm2d_9.w_2" shape = [256] dtype = "float32" min_val = float("5.65524e-05") @@ -5137,6 +5612,7 @@ class Program_weight_tensor_parameter_474: class Program_weight_tensor_parameter_475: name = "parameter_475" + original_name = "batch_norm2d_9.w_1" shape = [256] dtype = "float32" min_val = float("-3.10033") @@ -5148,6 +5624,7 @@ class Program_weight_tensor_parameter_475: class Program_weight_tensor_parameter_476: name = "parameter_476" + original_name = "conv2d_9.w_0" shape = [256, 1, 3, 3] dtype = "float32" min_val = float("-0.83698") @@ -5159,6 +5636,7 @@ class Program_weight_tensor_parameter_476: class Program_weight_tensor_parameter_477: name = "parameter_477" + original_name = "batch_norm2d_8.b_0" shape = [256] dtype = "float32" min_val = float("-1.8338") @@ -5170,6 +5648,7 @@ class Program_weight_tensor_parameter_477: class Program_weight_tensor_parameter_478: name = "parameter_478" + original_name = "batch_norm2d_8.w_0" shape = [256] dtype = "float32" min_val = float("-0.391939") @@ -5181,6 +5660,7 @@ class Program_weight_tensor_parameter_478: class Program_weight_tensor_parameter_479: name = "parameter_479" + original_name = "batch_norm2d_8.w_2" shape = [256] dtype = "float32" min_val = float("0.202733") @@ -5192,6 +5672,7 @@ class Program_weight_tensor_parameter_479: class Program_weight_tensor_parameter_480: name = "parameter_480" + original_name = "batch_norm2d_8.w_1" shape = [256] dtype = "float32" min_val = float("-6.49469") @@ -5203,6 +5684,7 @@ class Program_weight_tensor_parameter_480: class Program_weight_tensor_parameter_481: name = "parameter_481" + original_name = "conv2d_8.w_0" shape = [256, 128, 1, 1] dtype = "float32" min_val = float("-0.780703") @@ -5214,6 +5696,7 @@ class Program_weight_tensor_parameter_481: class Program_weight_tensor_parameter_482: name = "parameter_482" + original_name = "batch_norm2d_7.b_0" shape = [128] dtype = "float32" min_val = float("-3.47534") @@ -5225,6 +5708,7 @@ class Program_weight_tensor_parameter_482: class Program_weight_tensor_parameter_483: name = "parameter_483" + original_name = "batch_norm2d_7.w_0" shape = [128] dtype = "float32" min_val = float("-0.693513") @@ -5236,6 +5720,7 @@ class Program_weight_tensor_parameter_483: class Program_weight_tensor_parameter_484: name = "parameter_484" + original_name = "batch_norm2d_7.w_2" shape = [128] dtype = "float32" min_val = float("0.000138215") @@ -5247,6 +5732,7 @@ class Program_weight_tensor_parameter_484: class Program_weight_tensor_parameter_485: name = "parameter_485" + original_name = "batch_norm2d_7.w_1" shape = [128] dtype = "float32" min_val = float("-1.83852") @@ -5258,6 +5744,7 @@ class Program_weight_tensor_parameter_485: class Program_weight_tensor_parameter_486: name = "parameter_486" + original_name = "conv2d_7.w_0" shape = [128, 1, 3, 3] dtype = "float32" min_val = float("-0.423952") @@ -5269,6 +5756,7 @@ class Program_weight_tensor_parameter_486: class Program_weight_tensor_parameter_487: name = "parameter_487" + original_name = "batch_norm2d_6.b_0" shape = [128] dtype = "float32" min_val = float("-2.39073") @@ -5280,6 +5768,7 @@ class Program_weight_tensor_parameter_487: class Program_weight_tensor_parameter_488: name = "parameter_488" + original_name = "batch_norm2d_6.w_0" shape = [128] dtype = "float32" min_val = float("-0.617568") @@ -5291,6 +5780,7 @@ class Program_weight_tensor_parameter_488: class Program_weight_tensor_parameter_489: name = "parameter_489" + original_name = "batch_norm2d_6.w_2" shape = [128] dtype = "float32" min_val = float("2.12861") @@ -5302,6 +5792,7 @@ class Program_weight_tensor_parameter_489: class Program_weight_tensor_parameter_490: name = "parameter_490" + original_name = "batch_norm2d_6.w_1" shape = [128] dtype = "float32" min_val = float("-8.12315") @@ -5313,6 +5804,7 @@ class Program_weight_tensor_parameter_490: class Program_weight_tensor_parameter_491: name = "parameter_491" + original_name = "conv2d_6.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.700269") @@ -5324,6 +5816,7 @@ class Program_weight_tensor_parameter_491: class Program_weight_tensor_parameter_492: name = "parameter_492" + original_name = "batch_norm2d_5.b_0" shape = [128] dtype = "float32" min_val = float("-1.46237") @@ -5335,6 +5828,7 @@ class Program_weight_tensor_parameter_492: class Program_weight_tensor_parameter_493: name = "parameter_493" + original_name = "batch_norm2d_5.w_0" shape = [128] dtype = "float32" min_val = float("0.952433") @@ -5346,6 +5840,7 @@ class Program_weight_tensor_parameter_493: class Program_weight_tensor_parameter_494: name = "parameter_494" + original_name = "batch_norm2d_5.w_2" shape = [128] dtype = "float32" min_val = float("0.000122605") @@ -5357,6 +5852,7 @@ class Program_weight_tensor_parameter_494: class Program_weight_tensor_parameter_495: name = "parameter_495" + original_name = "batch_norm2d_5.w_1" shape = [128] dtype = "float32" min_val = float("-2.76921") @@ -5368,6 +5864,7 @@ class Program_weight_tensor_parameter_495: class Program_weight_tensor_parameter_496: name = "parameter_496" + original_name = "conv2d_5.w_0" shape = [128, 1, 3, 3] dtype = "float32" min_val = float("-1.57968") @@ -5379,6 +5876,7 @@ class Program_weight_tensor_parameter_496: class Program_weight_tensor_parameter_497: name = "parameter_497" + original_name = "batch_norm2d_4.b_0" shape = [128] dtype = "float32" min_val = float("-3.63339") @@ -5390,6 +5888,7 @@ class Program_weight_tensor_parameter_497: class Program_weight_tensor_parameter_498: name = "parameter_498" + original_name = "batch_norm2d_4.w_0" shape = [128] dtype = "float32" min_val = float("-0.281156") @@ -5401,6 +5900,7 @@ class Program_weight_tensor_parameter_498: class Program_weight_tensor_parameter_499: name = "parameter_499" + original_name = "batch_norm2d_4.w_2" shape = [128] dtype = "float32" min_val = float("0.90586") @@ -5412,6 +5912,7 @@ class Program_weight_tensor_parameter_499: class Program_weight_tensor_parameter_500: name = "parameter_500" + original_name = "batch_norm2d_4.w_1" shape = [128] dtype = "float32" min_val = float("-12.4785") @@ -5423,6 +5924,7 @@ class Program_weight_tensor_parameter_500: class Program_weight_tensor_parameter_501: name = "parameter_501" + original_name = "conv2d_4.w_0" shape = [128, 64, 1, 1] dtype = "float32" min_val = float("-0.824516") @@ -5434,6 +5936,7 @@ class Program_weight_tensor_parameter_501: class Program_weight_tensor_parameter_502: name = "parameter_502" + original_name = "batch_norm2d_3.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -5443,6 +5946,7 @@ class Program_weight_tensor_parameter_502: class Program_weight_tensor_parameter_503: name = "parameter_503" + original_name = "batch_norm2d_3.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -5452,6 +5956,7 @@ class Program_weight_tensor_parameter_503: class Program_weight_tensor_parameter_504: name = "parameter_504" + original_name = "batch_norm2d_3.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -5461,6 +5966,7 @@ class Program_weight_tensor_parameter_504: class Program_weight_tensor_parameter_505: name = "parameter_505" + original_name = "batch_norm2d_3.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -5470,6 +5976,7 @@ class Program_weight_tensor_parameter_505: class Program_weight_tensor_parameter_506: name = "parameter_506" + original_name = "conv2d_3.w_0" shape = [64, 1, 3, 3] dtype = "float32" min_val = float("-0.380395") @@ -5481,6 +5988,7 @@ class Program_weight_tensor_parameter_506: class Program_weight_tensor_parameter_507: name = "parameter_507" + original_name = "batch_norm2d_2.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -5490,6 +5998,7 @@ class Program_weight_tensor_parameter_507: class Program_weight_tensor_parameter_508: name = "parameter_508" + original_name = "batch_norm2d_2.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -5499,6 +6008,7 @@ class Program_weight_tensor_parameter_508: class Program_weight_tensor_parameter_509: name = "parameter_509" + original_name = "batch_norm2d_2.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -5508,6 +6018,7 @@ class Program_weight_tensor_parameter_509: class Program_weight_tensor_parameter_510: name = "parameter_510" + original_name = "batch_norm2d_2.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -5517,6 +6028,7 @@ class Program_weight_tensor_parameter_510: class Program_weight_tensor_parameter_511: name = "parameter_511" + original_name = "conv2d_2.w_0" shape = [64, 32, 1, 1] dtype = "float32" min_val = float("-1.24187") @@ -5528,6 +6040,7 @@ class Program_weight_tensor_parameter_511: class Program_weight_tensor_parameter_512: name = "parameter_512" + original_name = "batch_norm2d_1.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -5537,6 +6050,7 @@ class Program_weight_tensor_parameter_512: class Program_weight_tensor_parameter_513: name = "parameter_513" + original_name = "batch_norm2d_1.w_0" shape = [32] dtype = "float32" min_val = float("0") @@ -5546,6 +6060,7 @@ class Program_weight_tensor_parameter_513: class Program_weight_tensor_parameter_514: name = "parameter_514" + original_name = "batch_norm2d_1.w_2" shape = [32] dtype = "float32" min_val = float("0") @@ -5555,6 +6070,7 @@ class Program_weight_tensor_parameter_514: class Program_weight_tensor_parameter_515: name = "parameter_515" + original_name = "batch_norm2d_1.w_1" shape = [32] dtype = "float32" min_val = float("0") @@ -5564,6 +6080,7 @@ class Program_weight_tensor_parameter_515: class Program_weight_tensor_parameter_516: name = "parameter_516" + original_name = "conv2d_1.w_0" shape = [32, 1, 3, 3] dtype = "float32" min_val = float("-1.89874") @@ -5575,6 +6092,7 @@ class Program_weight_tensor_parameter_516: class Program_weight_tensor_parameter_517: name = "parameter_517" + original_name = "batch_norm2d_0.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -5584,6 +6102,7 @@ class Program_weight_tensor_parameter_517: class Program_weight_tensor_parameter_518: name = "parameter_518" + original_name = "batch_norm2d_0.w_0" shape = [32] dtype = "float32" min_val = float("0") @@ -5593,6 +6112,7 @@ class Program_weight_tensor_parameter_518: class Program_weight_tensor_parameter_519: name = "parameter_519" + original_name = "batch_norm2d_0.w_2" shape = [32] dtype = "float32" min_val = float("0") @@ -5602,6 +6122,7 @@ class Program_weight_tensor_parameter_519: class Program_weight_tensor_parameter_520: name = "parameter_520" + original_name = "batch_norm2d_0.w_1" shape = [32] dtype = "float32" min_val = float("0") @@ -5611,6 +6132,7 @@ class Program_weight_tensor_parameter_520: class Program_weight_tensor_parameter_521: name = "parameter_521" + original_name = "conv2d_0.w_0" shape = [32, 3, 3, 3] dtype = "float32" min_val = float("-0.652931") diff --git a/paddle_samples/PaddleX/PicoDet-M/subgraph_1/input_meta.py b/paddle_samples/PaddleX/PicoDet-M/subgraph_1/input_meta.py index bdb905c30..02ee984cf 100644 --- a/paddle_samples/PaddleX/PicoDet-M/subgraph_1/input_meta.py +++ b/paddle_samples/PaddleX/PicoDet-M/subgraph_1/input_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_data_0: name = "data_0" + original_name = "var_1804" shape = [4, 3, 352, 352] dtype = "float32" min_val = float("-2.1179") @@ -11,6 +12,7 @@ class Program_weight_tensor_data_0: class Program_weight_tensor_data_1: name = "data_1" + original_name = "var_2057" shape = [8] dtype = "float32" data = [0.0, 1.0, 2.0, 3.0003, 4.0, 5.0, 6.0006, 7.0] diff --git a/paddle_samples/PaddleX/PicoDet-M/subgraph_1/weight_meta.py b/paddle_samples/PaddleX/PicoDet-M/subgraph_1/weight_meta.py index 918f03e40..24d0c1fd0 100644 --- a/paddle_samples/PaddleX/PicoDet-M/subgraph_1/weight_meta.py +++ b/paddle_samples/PaddleX/PicoDet-M/subgraph_1/weight_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_parameter_0: name = "parameter_0" + original_name = "batch_norm2d_97.b_0" shape = [1] dtype = "float32" min_val = float("0") @@ -9,6 +10,7 @@ class Program_weight_tensor_parameter_0: class Program_weight_tensor_parameter_1: name = "parameter_1" + original_name = "batch_norm2d_97.w_0" shape = [1] dtype = "float32" min_val = float("0") @@ -18,6 +20,7 @@ class Program_weight_tensor_parameter_1: class Program_weight_tensor_parameter_2: name = "parameter_2" + original_name = "batch_norm2d_97.w_2" shape = [1] dtype = "float32" min_val = float("0") @@ -27,6 +30,7 @@ class Program_weight_tensor_parameter_2: class Program_weight_tensor_parameter_3: name = "parameter_3" + original_name = "batch_norm2d_97.w_1" shape = [1] dtype = "float32" min_val = float("0") @@ -36,6 +40,7 @@ class Program_weight_tensor_parameter_3: class Program_weight_tensor_parameter_4: name = "parameter_4" + original_name = "conv2d_115.w_0" shape = [1, 1, 1, 1] dtype = "float32" min_val = float("0") @@ -45,6 +50,7 @@ class Program_weight_tensor_parameter_4: class Program_weight_tensor_parameter_5: name = "parameter_5" + original_name = "batch_norm2d_96.b_0" shape = [1] dtype = "float32" min_val = float("0") @@ -54,6 +60,7 @@ class Program_weight_tensor_parameter_5: class Program_weight_tensor_parameter_6: name = "parameter_6" + original_name = "batch_norm2d_96.w_0" shape = [1] dtype = "float32" min_val = float("0") @@ -63,6 +70,7 @@ class Program_weight_tensor_parameter_6: class Program_weight_tensor_parameter_7: name = "parameter_7" + original_name = "batch_norm2d_96.w_2" shape = [1] dtype = "float32" min_val = float("0") @@ -72,6 +80,7 @@ class Program_weight_tensor_parameter_7: class Program_weight_tensor_parameter_8: name = "parameter_8" + original_name = "batch_norm2d_96.w_1" shape = [1] dtype = "float32" min_val = float("0") @@ -81,6 +90,7 @@ class Program_weight_tensor_parameter_8: class Program_weight_tensor_parameter_9: name = "parameter_9" + original_name = "conv2d_114.w_0" shape = [1, 128, 5, 5] dtype = "float32" min_val = float("-0.299565") @@ -92,6 +102,7 @@ class Program_weight_tensor_parameter_9: class Program_weight_tensor_parameter_10: name = "parameter_10" + original_name = "conv2d_113.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -101,6 +112,7 @@ class Program_weight_tensor_parameter_10: class Program_weight_tensor_parameter_11: name = "parameter_11" + original_name = "conv2d_113.w_0" shape = [32, 128, 1, 1] dtype = "float32" min_val = float("-0.454145") @@ -112,6 +124,7 @@ class Program_weight_tensor_parameter_11: class Program_weight_tensor_parameter_12: name = "parameter_12" + original_name = "conv2d_112.b_0" shape = [4] dtype = "float32" min_val = float("0") @@ -121,6 +134,7 @@ class Program_weight_tensor_parameter_12: class Program_weight_tensor_parameter_13: name = "parameter_13" + original_name = "conv2d_112.w_0" shape = [4, 128, 1, 1] dtype = "float32" min_val = float("-0.0293642") @@ -132,6 +146,7 @@ class Program_weight_tensor_parameter_13: class Program_weight_tensor_parameter_14: name = "parameter_14" + original_name = "batch_norm2d_89.b_0" shape = [128] dtype = "float32" min_val = float("0.00436877") @@ -143,6 +158,7 @@ class Program_weight_tensor_parameter_14: class Program_weight_tensor_parameter_15: name = "parameter_15" + original_name = "batch_norm2d_89.w_0" shape = [128] dtype = "float32" min_val = float("0.848057") @@ -154,6 +170,7 @@ class Program_weight_tensor_parameter_15: class Program_weight_tensor_parameter_16: name = "parameter_16" + original_name = "batch_norm2d_89.w_2" shape = [128] dtype = "float32" min_val = float("0.00628139") @@ -165,6 +182,7 @@ class Program_weight_tensor_parameter_16: class Program_weight_tensor_parameter_17: name = "parameter_17" + original_name = "batch_norm2d_89.w_1" shape = [128] dtype = "float32" min_val = float("-0.163325") @@ -176,6 +194,7 @@ class Program_weight_tensor_parameter_17: class Program_weight_tensor_parameter_18: name = "parameter_18" + original_name = "conv2d_97.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.239995") @@ -187,6 +206,7 @@ class Program_weight_tensor_parameter_18: class Program_weight_tensor_parameter_19: name = "parameter_19" + original_name = "conv2d_96.b_0" shape = [128] dtype = "float32" min_val = float("-0.0513742") @@ -198,6 +218,7 @@ class Program_weight_tensor_parameter_19: class Program_weight_tensor_parameter_20: name = "parameter_20" + original_name = "conv2d_96.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.105123") @@ -209,6 +230,7 @@ class Program_weight_tensor_parameter_20: class Program_weight_tensor_parameter_21: name = "parameter_21" + original_name = "batch_norm2d_88.b_0" shape = [128] dtype = "float32" min_val = float("-1.29575") @@ -220,6 +242,7 @@ class Program_weight_tensor_parameter_21: class Program_weight_tensor_parameter_22: name = "parameter_22" + original_name = "batch_norm2d_88.w_0" shape = [128] dtype = "float32" min_val = float("0.738786") @@ -231,6 +254,7 @@ class Program_weight_tensor_parameter_22: class Program_weight_tensor_parameter_23: name = "parameter_23" + original_name = "batch_norm2d_88.w_2" shape = [128] dtype = "float32" min_val = float("0.0252795") @@ -242,6 +266,7 @@ class Program_weight_tensor_parameter_23: class Program_weight_tensor_parameter_24: name = "parameter_24" + original_name = "batch_norm2d_88.w_1" shape = [128] dtype = "float32" min_val = float("-0.526768") @@ -253,6 +278,7 @@ class Program_weight_tensor_parameter_24: class Program_weight_tensor_parameter_25: name = "parameter_25" + original_name = "conv2d_95.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.312924") @@ -264,6 +290,7 @@ class Program_weight_tensor_parameter_25: class Program_weight_tensor_parameter_26: name = "parameter_26" + original_name = "batch_norm2d_87.b_0" shape = [128] dtype = "float32" min_val = float("-1.12697") @@ -275,6 +302,7 @@ class Program_weight_tensor_parameter_26: class Program_weight_tensor_parameter_27: name = "parameter_27" + original_name = "batch_norm2d_87.w_0" shape = [128] dtype = "float32" min_val = float("0.449743") @@ -286,6 +314,7 @@ class Program_weight_tensor_parameter_27: class Program_weight_tensor_parameter_28: name = "parameter_28" + original_name = "batch_norm2d_87.w_2" shape = [128] dtype = "float32" min_val = float("0.00172347") @@ -297,6 +326,7 @@ class Program_weight_tensor_parameter_28: class Program_weight_tensor_parameter_29: name = "parameter_29" + original_name = "batch_norm2d_87.w_1" shape = [128] dtype = "float32" min_val = float("-0.260473") @@ -308,6 +338,7 @@ class Program_weight_tensor_parameter_29: class Program_weight_tensor_parameter_30: name = "parameter_30" + original_name = "conv2d_94.w_0" shape = [128, 1, 5, 5] dtype = "float32" min_val = float("-0.229629") @@ -319,6 +350,7 @@ class Program_weight_tensor_parameter_30: class Program_weight_tensor_parameter_31: name = "parameter_31" + original_name = "batch_norm2d_86.b_0" shape = [128] dtype = "float32" min_val = float("-0.802679") @@ -330,6 +362,7 @@ class Program_weight_tensor_parameter_31: class Program_weight_tensor_parameter_32: name = "parameter_32" + original_name = "batch_norm2d_86.w_0" shape = [128] dtype = "float32" min_val = float("0.405641") @@ -341,6 +374,7 @@ class Program_weight_tensor_parameter_32: class Program_weight_tensor_parameter_33: name = "parameter_33" + original_name = "batch_norm2d_86.w_2" shape = [128] dtype = "float32" min_val = float("0.0362135") @@ -352,6 +386,7 @@ class Program_weight_tensor_parameter_33: class Program_weight_tensor_parameter_34: name = "parameter_34" + original_name = "batch_norm2d_86.w_1" shape = [128] dtype = "float32" min_val = float("-0.486258") @@ -363,6 +398,7 @@ class Program_weight_tensor_parameter_34: class Program_weight_tensor_parameter_35: name = "parameter_35" + original_name = "conv2d_93.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.284462") @@ -374,6 +410,7 @@ class Program_weight_tensor_parameter_35: class Program_weight_tensor_parameter_36: name = "parameter_36" + original_name = "batch_norm2d_85.b_0" shape = [128] dtype = "float32" min_val = float("-0.545573") @@ -385,6 +422,7 @@ class Program_weight_tensor_parameter_36: class Program_weight_tensor_parameter_37: name = "parameter_37" + original_name = "batch_norm2d_85.w_0" shape = [128] dtype = "float32" min_val = float("0.579825") @@ -396,6 +434,7 @@ class Program_weight_tensor_parameter_37: class Program_weight_tensor_parameter_38: name = "parameter_38" + original_name = "batch_norm2d_85.w_2" shape = [128] dtype = "float32" min_val = float("0.00277581") @@ -407,6 +446,7 @@ class Program_weight_tensor_parameter_38: class Program_weight_tensor_parameter_39: name = "parameter_39" + original_name = "batch_norm2d_85.w_1" shape = [128] dtype = "float32" min_val = float("-0.287199") @@ -418,6 +458,7 @@ class Program_weight_tensor_parameter_39: class Program_weight_tensor_parameter_40: name = "parameter_40" + original_name = "conv2d_92.w_0" shape = [128, 1, 5, 5] dtype = "float32" min_val = float("-0.175352") @@ -429,6 +470,7 @@ class Program_weight_tensor_parameter_40: class Program_weight_tensor_parameter_41: name = "parameter_41" + original_name = "batch_norm2d_84.b_0" shape = [128] dtype = "float32" min_val = float("-0.370593") @@ -440,6 +482,7 @@ class Program_weight_tensor_parameter_41: class Program_weight_tensor_parameter_42: name = "parameter_42" + original_name = "batch_norm2d_84.w_0" shape = [128] dtype = "float32" min_val = float("0.291239") @@ -451,6 +494,7 @@ class Program_weight_tensor_parameter_42: class Program_weight_tensor_parameter_43: name = "parameter_43" + original_name = "batch_norm2d_84.w_2" shape = [128] dtype = "float32" min_val = float("0.0341439") @@ -462,6 +506,7 @@ class Program_weight_tensor_parameter_43: class Program_weight_tensor_parameter_44: name = "parameter_44" + original_name = "batch_norm2d_84.w_1" shape = [128] dtype = "float32" min_val = float("-0.465874") @@ -473,6 +518,7 @@ class Program_weight_tensor_parameter_44: class Program_weight_tensor_parameter_45: name = "parameter_45" + original_name = "conv2d_91.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.239295") @@ -484,6 +530,7 @@ class Program_weight_tensor_parameter_45: class Program_weight_tensor_parameter_46: name = "parameter_46" + original_name = "batch_norm2d_83.b_0" shape = [128] dtype = "float32" min_val = float("-0.675736") @@ -495,6 +542,7 @@ class Program_weight_tensor_parameter_46: class Program_weight_tensor_parameter_47: name = "parameter_47" + original_name = "batch_norm2d_83.w_0" shape = [128] dtype = "float32" min_val = float("0.647311") @@ -506,6 +554,7 @@ class Program_weight_tensor_parameter_47: class Program_weight_tensor_parameter_48: name = "parameter_48" + original_name = "batch_norm2d_83.w_2" shape = [128] dtype = "float32" min_val = float("0.00125544") @@ -517,6 +566,7 @@ class Program_weight_tensor_parameter_48: class Program_weight_tensor_parameter_49: name = "parameter_49" + original_name = "batch_norm2d_83.w_1" shape = [128] dtype = "float32" min_val = float("-0.213415") @@ -528,6 +578,7 @@ class Program_weight_tensor_parameter_49: class Program_weight_tensor_parameter_50: name = "parameter_50" + original_name = "conv2d_90.w_0" shape = [128, 1, 5, 5] dtype = "float32" min_val = float("-0.225853") @@ -539,6 +590,7 @@ class Program_weight_tensor_parameter_50: class Program_weight_tensor_parameter_51: name = "parameter_51" + original_name = "batch_norm2d_82.b_0" shape = [128] dtype = "float32" min_val = float("-0.741283") @@ -550,6 +602,7 @@ class Program_weight_tensor_parameter_51: class Program_weight_tensor_parameter_52: name = "parameter_52" + original_name = "batch_norm2d_82.w_0" shape = [128] dtype = "float32" min_val = float("0.25945") @@ -561,6 +614,7 @@ class Program_weight_tensor_parameter_52: class Program_weight_tensor_parameter_53: name = "parameter_53" + original_name = "batch_norm2d_82.w_2" shape = [128] dtype = "float32" min_val = float("0.0497916") @@ -572,6 +626,7 @@ class Program_weight_tensor_parameter_53: class Program_weight_tensor_parameter_54: name = "parameter_54" + original_name = "batch_norm2d_82.w_1" shape = [128] dtype = "float32" min_val = float("-0.255087") @@ -583,6 +638,7 @@ class Program_weight_tensor_parameter_54: class Program_weight_tensor_parameter_55: name = "parameter_55" + original_name = "conv2d_89.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.30253") @@ -594,6 +650,7 @@ class Program_weight_tensor_parameter_55: class Program_weight_tensor_parameter_56: name = "parameter_56" + original_name = "batch_norm2d_81.b_0" shape = [128] dtype = "float32" min_val = float("-0.449391") @@ -605,6 +662,7 @@ class Program_weight_tensor_parameter_56: class Program_weight_tensor_parameter_57: name = "parameter_57" + original_name = "batch_norm2d_81.w_0" shape = [128] dtype = "float32" min_val = float("0.926733") @@ -616,6 +674,7 @@ class Program_weight_tensor_parameter_57: class Program_weight_tensor_parameter_58: name = "parameter_58" + original_name = "batch_norm2d_81.w_2" shape = [128] dtype = "float32" min_val = float("0.000145412") @@ -627,6 +686,7 @@ class Program_weight_tensor_parameter_58: class Program_weight_tensor_parameter_59: name = "parameter_59" + original_name = "batch_norm2d_81.w_1" shape = [128] dtype = "float32" min_val = float("-0.0628302") @@ -638,6 +698,7 @@ class Program_weight_tensor_parameter_59: class Program_weight_tensor_parameter_60: name = "parameter_60" + original_name = "conv2d_88.w_0" shape = [128, 1, 5, 5] dtype = "float32" min_val = float("-0.261723") @@ -649,6 +710,7 @@ class Program_weight_tensor_parameter_60: class Program_weight_tensor_parameter_61: name = "parameter_61" + original_name = "batch_norm2d_95.b_0" shape = [1] dtype = "float32" min_val = float("0") @@ -658,6 +720,7 @@ class Program_weight_tensor_parameter_61: class Program_weight_tensor_parameter_62: name = "parameter_62" + original_name = "batch_norm2d_95.w_0" shape = [1] dtype = "float32" min_val = float("0") @@ -667,6 +730,7 @@ class Program_weight_tensor_parameter_62: class Program_weight_tensor_parameter_63: name = "parameter_63" + original_name = "batch_norm2d_95.w_2" shape = [1] dtype = "float32" min_val = float("0") @@ -676,6 +740,7 @@ class Program_weight_tensor_parameter_63: class Program_weight_tensor_parameter_64: name = "parameter_64" + original_name = "batch_norm2d_95.w_1" shape = [1] dtype = "float32" min_val = float("0") @@ -685,6 +750,7 @@ class Program_weight_tensor_parameter_64: class Program_weight_tensor_parameter_65: name = "parameter_65" + original_name = "conv2d_111.w_0" shape = [1, 1, 1, 1] dtype = "float32" min_val = float("0") @@ -694,6 +760,7 @@ class Program_weight_tensor_parameter_65: class Program_weight_tensor_parameter_66: name = "parameter_66" + original_name = "batch_norm2d_94.b_0" shape = [1] dtype = "float32" min_val = float("0") @@ -703,6 +770,7 @@ class Program_weight_tensor_parameter_66: class Program_weight_tensor_parameter_67: name = "parameter_67" + original_name = "batch_norm2d_94.w_0" shape = [1] dtype = "float32" min_val = float("0") @@ -712,6 +780,7 @@ class Program_weight_tensor_parameter_67: class Program_weight_tensor_parameter_68: name = "parameter_68" + original_name = "batch_norm2d_94.w_2" shape = [1] dtype = "float32" min_val = float("0") @@ -721,6 +790,7 @@ class Program_weight_tensor_parameter_68: class Program_weight_tensor_parameter_69: name = "parameter_69" + original_name = "batch_norm2d_94.w_1" shape = [1] dtype = "float32" min_val = float("0") @@ -730,6 +800,7 @@ class Program_weight_tensor_parameter_69: class Program_weight_tensor_parameter_70: name = "parameter_70" + original_name = "conv2d_110.w_0" shape = [1, 128, 5, 5] dtype = "float32" min_val = float("-0.363502") @@ -741,6 +812,7 @@ class Program_weight_tensor_parameter_70: class Program_weight_tensor_parameter_71: name = "parameter_71" + original_name = "conv2d_109.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -750,6 +822,7 @@ class Program_weight_tensor_parameter_71: class Program_weight_tensor_parameter_72: name = "parameter_72" + original_name = "conv2d_109.w_0" shape = [32, 128, 1, 1] dtype = "float32" min_val = float("-0.467742") @@ -761,6 +834,7 @@ class Program_weight_tensor_parameter_72: class Program_weight_tensor_parameter_73: name = "parameter_73" + original_name = "conv2d_108.b_0" shape = [4] dtype = "float32" min_val = float("0") @@ -770,6 +844,7 @@ class Program_weight_tensor_parameter_73: class Program_weight_tensor_parameter_74: name = "parameter_74" + original_name = "conv2d_108.w_0" shape = [4, 128, 1, 1] dtype = "float32" min_val = float("-0.0297158") @@ -781,6 +856,7 @@ class Program_weight_tensor_parameter_74: class Program_weight_tensor_parameter_75: name = "parameter_75" + original_name = "batch_norm2d_80.b_0" shape = [128] dtype = "float32" min_val = float("-0.0599435") @@ -792,6 +868,7 @@ class Program_weight_tensor_parameter_75: class Program_weight_tensor_parameter_76: name = "parameter_76" + original_name = "batch_norm2d_80.w_0" shape = [128] dtype = "float32" min_val = float("0.599368") @@ -803,6 +880,7 @@ class Program_weight_tensor_parameter_76: class Program_weight_tensor_parameter_77: name = "parameter_77" + original_name = "batch_norm2d_80.w_2" shape = [128] dtype = "float32" min_val = float("0.00783025") @@ -814,6 +892,7 @@ class Program_weight_tensor_parameter_77: class Program_weight_tensor_parameter_78: name = "parameter_78" + original_name = "batch_norm2d_80.w_1" shape = [128] dtype = "float32" min_val = float("-0.342643") @@ -825,6 +904,7 @@ class Program_weight_tensor_parameter_78: class Program_weight_tensor_parameter_79: name = "parameter_79" + original_name = "conv2d_87.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.436353") @@ -836,6 +916,7 @@ class Program_weight_tensor_parameter_79: class Program_weight_tensor_parameter_80: name = "parameter_80" + original_name = "conv2d_86.b_0" shape = [128] dtype = "float32" min_val = float("-0.0488427") @@ -847,6 +928,7 @@ class Program_weight_tensor_parameter_80: class Program_weight_tensor_parameter_81: name = "parameter_81" + original_name = "conv2d_86.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.158454") @@ -858,6 +940,7 @@ class Program_weight_tensor_parameter_81: class Program_weight_tensor_parameter_82: name = "parameter_82" + original_name = "batch_norm2d_79.b_0" shape = [128] dtype = "float32" min_val = float("-1.29969") @@ -869,6 +952,7 @@ class Program_weight_tensor_parameter_82: class Program_weight_tensor_parameter_83: name = "parameter_83" + original_name = "batch_norm2d_79.w_0" shape = [128] dtype = "float32" min_val = float("0.439862") @@ -880,6 +964,7 @@ class Program_weight_tensor_parameter_83: class Program_weight_tensor_parameter_84: name = "parameter_84" + original_name = "batch_norm2d_79.w_2" shape = [128] dtype = "float32" min_val = float("0.0355918") @@ -891,6 +976,7 @@ class Program_weight_tensor_parameter_84: class Program_weight_tensor_parameter_85: name = "parameter_85" + original_name = "batch_norm2d_79.w_1" shape = [128] dtype = "float32" min_val = float("-1.43105") @@ -902,6 +988,7 @@ class Program_weight_tensor_parameter_85: class Program_weight_tensor_parameter_86: name = "parameter_86" + original_name = "conv2d_85.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.406578") @@ -913,6 +1000,7 @@ class Program_weight_tensor_parameter_86: class Program_weight_tensor_parameter_87: name = "parameter_87" + original_name = "batch_norm2d_78.b_0" shape = [128] dtype = "float32" min_val = float("-1.24861") @@ -924,6 +1012,7 @@ class Program_weight_tensor_parameter_87: class Program_weight_tensor_parameter_88: name = "parameter_88" + original_name = "batch_norm2d_78.w_0" shape = [128] dtype = "float32" min_val = float("0.46203") @@ -935,6 +1024,7 @@ class Program_weight_tensor_parameter_88: class Program_weight_tensor_parameter_89: name = "parameter_89" + original_name = "batch_norm2d_78.w_2" shape = [128] dtype = "float32" min_val = float("0.000829372") @@ -946,6 +1036,7 @@ class Program_weight_tensor_parameter_89: class Program_weight_tensor_parameter_90: name = "parameter_90" + original_name = "batch_norm2d_78.w_1" shape = [128] dtype = "float32" min_val = float("-0.303179") @@ -957,6 +1048,7 @@ class Program_weight_tensor_parameter_90: class Program_weight_tensor_parameter_91: name = "parameter_91" + original_name = "conv2d_84.w_0" shape = [128, 1, 5, 5] dtype = "float32" min_val = float("-0.36541") @@ -968,6 +1060,7 @@ class Program_weight_tensor_parameter_91: class Program_weight_tensor_parameter_92: name = "parameter_92" + original_name = "batch_norm2d_77.b_0" shape = [128] dtype = "float32" min_val = float("-0.866103") @@ -979,6 +1072,7 @@ class Program_weight_tensor_parameter_92: class Program_weight_tensor_parameter_93: name = "parameter_93" + original_name = "batch_norm2d_77.w_0" shape = [128] dtype = "float32" min_val = float("0.198274") @@ -990,6 +1084,7 @@ class Program_weight_tensor_parameter_93: class Program_weight_tensor_parameter_94: name = "parameter_94" + original_name = "batch_norm2d_77.w_2" shape = [128] dtype = "float32" min_val = float("0.0371733") @@ -1001,6 +1096,7 @@ class Program_weight_tensor_parameter_94: class Program_weight_tensor_parameter_95: name = "parameter_95" + original_name = "batch_norm2d_77.w_1" shape = [128] dtype = "float32" min_val = float("-0.651786") @@ -1012,6 +1108,7 @@ class Program_weight_tensor_parameter_95: class Program_weight_tensor_parameter_96: name = "parameter_96" + original_name = "conv2d_83.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.363373") @@ -1023,6 +1120,7 @@ class Program_weight_tensor_parameter_96: class Program_weight_tensor_parameter_97: name = "parameter_97" + original_name = "batch_norm2d_76.b_0" shape = [128] dtype = "float32" min_val = float("-0.539485") @@ -1034,6 +1132,7 @@ class Program_weight_tensor_parameter_97: class Program_weight_tensor_parameter_98: name = "parameter_98" + original_name = "batch_norm2d_76.w_0" shape = [128] dtype = "float32" min_val = float("0.531155") @@ -1045,6 +1144,7 @@ class Program_weight_tensor_parameter_98: class Program_weight_tensor_parameter_99: name = "parameter_99" + original_name = "batch_norm2d_76.w_2" shape = [128] dtype = "float32" min_val = float("0.00498508") @@ -1056,6 +1156,7 @@ class Program_weight_tensor_parameter_99: class Program_weight_tensor_parameter_100: name = "parameter_100" + original_name = "batch_norm2d_76.w_1" shape = [128] dtype = "float32" min_val = float("-0.27029") @@ -1067,6 +1168,7 @@ class Program_weight_tensor_parameter_100: class Program_weight_tensor_parameter_101: name = "parameter_101" + original_name = "conv2d_82.w_0" shape = [128, 1, 5, 5] dtype = "float32" min_val = float("-0.206759") @@ -1078,6 +1180,7 @@ class Program_weight_tensor_parameter_101: class Program_weight_tensor_parameter_102: name = "parameter_102" + original_name = "batch_norm2d_75.b_0" shape = [128] dtype = "float32" min_val = float("-0.703047") @@ -1089,6 +1192,7 @@ class Program_weight_tensor_parameter_102: class Program_weight_tensor_parameter_103: name = "parameter_103" + original_name = "batch_norm2d_75.w_0" shape = [128] dtype = "float32" min_val = float("0.317356") @@ -1100,6 +1204,7 @@ class Program_weight_tensor_parameter_103: class Program_weight_tensor_parameter_104: name = "parameter_104" + original_name = "batch_norm2d_75.w_2" shape = [128] dtype = "float32" min_val = float("0.0359817") @@ -1111,6 +1216,7 @@ class Program_weight_tensor_parameter_104: class Program_weight_tensor_parameter_105: name = "parameter_105" + original_name = "batch_norm2d_75.w_1" shape = [128] dtype = "float32" min_val = float("-0.59565") @@ -1122,6 +1228,7 @@ class Program_weight_tensor_parameter_105: class Program_weight_tensor_parameter_106: name = "parameter_106" + original_name = "conv2d_81.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.429161") @@ -1133,6 +1240,7 @@ class Program_weight_tensor_parameter_106: class Program_weight_tensor_parameter_107: name = "parameter_107" + original_name = "batch_norm2d_74.b_0" shape = [128] dtype = "float32" min_val = float("-0.791388") @@ -1144,6 +1252,7 @@ class Program_weight_tensor_parameter_107: class Program_weight_tensor_parameter_108: name = "parameter_108" + original_name = "batch_norm2d_74.w_0" shape = [128] dtype = "float32" min_val = float("0.568991") @@ -1155,6 +1264,7 @@ class Program_weight_tensor_parameter_108: class Program_weight_tensor_parameter_109: name = "parameter_109" + original_name = "batch_norm2d_74.w_2" shape = [128] dtype = "float32" min_val = float("0.000461131") @@ -1166,6 +1276,7 @@ class Program_weight_tensor_parameter_109: class Program_weight_tensor_parameter_110: name = "parameter_110" + original_name = "batch_norm2d_74.w_1" shape = [128] dtype = "float32" min_val = float("-0.511549") @@ -1177,6 +1288,7 @@ class Program_weight_tensor_parameter_110: class Program_weight_tensor_parameter_111: name = "parameter_111" + original_name = "conv2d_80.w_0" shape = [128, 1, 5, 5] dtype = "float32" min_val = float("-0.292513") @@ -1188,6 +1300,7 @@ class Program_weight_tensor_parameter_111: class Program_weight_tensor_parameter_112: name = "parameter_112" + original_name = "batch_norm2d_73.b_0" shape = [128] dtype = "float32" min_val = float("-0.587232") @@ -1199,6 +1312,7 @@ class Program_weight_tensor_parameter_112: class Program_weight_tensor_parameter_113: name = "parameter_113" + original_name = "batch_norm2d_73.w_0" shape = [128] dtype = "float32" min_val = float("0.109909") @@ -1210,6 +1324,7 @@ class Program_weight_tensor_parameter_113: class Program_weight_tensor_parameter_114: name = "parameter_114" + original_name = "batch_norm2d_73.w_2" shape = [128] dtype = "float32" min_val = float("0.0444412") @@ -1221,6 +1336,7 @@ class Program_weight_tensor_parameter_114: class Program_weight_tensor_parameter_115: name = "parameter_115" + original_name = "batch_norm2d_73.w_1" shape = [128] dtype = "float32" min_val = float("-0.742942") @@ -1232,6 +1348,7 @@ class Program_weight_tensor_parameter_115: class Program_weight_tensor_parameter_116: name = "parameter_116" + original_name = "conv2d_79.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.499866") @@ -1243,6 +1360,7 @@ class Program_weight_tensor_parameter_116: class Program_weight_tensor_parameter_117: name = "parameter_117" + original_name = "batch_norm2d_72.b_0" shape = [128] dtype = "float32" min_val = float("-0.344714") @@ -1254,6 +1372,7 @@ class Program_weight_tensor_parameter_117: class Program_weight_tensor_parameter_118: name = "parameter_118" + original_name = "batch_norm2d_72.w_0" shape = [128] dtype = "float32" min_val = float("0.462789") @@ -1265,6 +1384,7 @@ class Program_weight_tensor_parameter_118: class Program_weight_tensor_parameter_119: name = "parameter_119" + original_name = "batch_norm2d_72.w_2" shape = [128] dtype = "float32" min_val = float("0.00307899") @@ -1276,6 +1396,7 @@ class Program_weight_tensor_parameter_119: class Program_weight_tensor_parameter_120: name = "parameter_120" + original_name = "batch_norm2d_72.w_1" shape = [128] dtype = "float32" min_val = float("-0.425254") @@ -1287,6 +1408,7 @@ class Program_weight_tensor_parameter_120: class Program_weight_tensor_parameter_121: name = "parameter_121" + original_name = "conv2d_78.w_0" shape = [128, 1, 5, 5] dtype = "float32" min_val = float("-0.297374") @@ -1298,6 +1420,7 @@ class Program_weight_tensor_parameter_121: class Program_weight_tensor_parameter_122: name = "parameter_122" + original_name = "batch_norm2d_93.b_0" shape = [1] dtype = "float32" min_val = float("0") @@ -1307,6 +1430,7 @@ class Program_weight_tensor_parameter_122: class Program_weight_tensor_parameter_123: name = "parameter_123" + original_name = "batch_norm2d_93.w_0" shape = [1] dtype = "float32" min_val = float("0") @@ -1316,6 +1440,7 @@ class Program_weight_tensor_parameter_123: class Program_weight_tensor_parameter_124: name = "parameter_124" + original_name = "batch_norm2d_93.w_2" shape = [1] dtype = "float32" min_val = float("0") @@ -1325,6 +1450,7 @@ class Program_weight_tensor_parameter_124: class Program_weight_tensor_parameter_125: name = "parameter_125" + original_name = "batch_norm2d_93.w_1" shape = [1] dtype = "float32" min_val = float("0") @@ -1334,6 +1460,7 @@ class Program_weight_tensor_parameter_125: class Program_weight_tensor_parameter_126: name = "parameter_126" + original_name = "conv2d_107.w_0" shape = [1, 1, 1, 1] dtype = "float32" min_val = float("0") @@ -1343,6 +1470,7 @@ class Program_weight_tensor_parameter_126: class Program_weight_tensor_parameter_127: name = "parameter_127" + original_name = "batch_norm2d_92.b_0" shape = [1] dtype = "float32" min_val = float("0") @@ -1352,6 +1480,7 @@ class Program_weight_tensor_parameter_127: class Program_weight_tensor_parameter_128: name = "parameter_128" + original_name = "batch_norm2d_92.w_0" shape = [1] dtype = "float32" min_val = float("0") @@ -1361,6 +1490,7 @@ class Program_weight_tensor_parameter_128: class Program_weight_tensor_parameter_129: name = "parameter_129" + original_name = "batch_norm2d_92.w_2" shape = [1] dtype = "float32" min_val = float("0") @@ -1370,6 +1500,7 @@ class Program_weight_tensor_parameter_129: class Program_weight_tensor_parameter_130: name = "parameter_130" + original_name = "batch_norm2d_92.w_1" shape = [1] dtype = "float32" min_val = float("0") @@ -1379,6 +1510,7 @@ class Program_weight_tensor_parameter_130: class Program_weight_tensor_parameter_131: name = "parameter_131" + original_name = "conv2d_106.w_0" shape = [1, 128, 5, 5] dtype = "float32" min_val = float("-0.357095") @@ -1390,6 +1522,7 @@ class Program_weight_tensor_parameter_131: class Program_weight_tensor_parameter_132: name = "parameter_132" + original_name = "conv2d_105.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -1399,6 +1532,7 @@ class Program_weight_tensor_parameter_132: class Program_weight_tensor_parameter_133: name = "parameter_133" + original_name = "conv2d_105.w_0" shape = [32, 128, 1, 1] dtype = "float32" min_val = float("-0.460762") @@ -1410,6 +1544,7 @@ class Program_weight_tensor_parameter_133: class Program_weight_tensor_parameter_134: name = "parameter_134" + original_name = "conv2d_104.b_0" shape = [4] dtype = "float32" min_val = float("0") @@ -1419,6 +1554,7 @@ class Program_weight_tensor_parameter_134: class Program_weight_tensor_parameter_135: name = "parameter_135" + original_name = "conv2d_104.w_0" shape = [4, 128, 1, 1] dtype = "float32" min_val = float("-0.0314999") @@ -1430,6 +1566,7 @@ class Program_weight_tensor_parameter_135: class Program_weight_tensor_parameter_136: name = "parameter_136" + original_name = "batch_norm2d_71.b_0" shape = [128] dtype = "float32" min_val = float("0.000153021") @@ -1441,6 +1578,7 @@ class Program_weight_tensor_parameter_136: class Program_weight_tensor_parameter_137: name = "parameter_137" + original_name = "batch_norm2d_71.w_0" shape = [128] dtype = "float32" min_val = float("0.581301") @@ -1452,6 +1590,7 @@ class Program_weight_tensor_parameter_137: class Program_weight_tensor_parameter_138: name = "parameter_138" + original_name = "batch_norm2d_71.w_2" shape = [128] dtype = "float32" min_val = float("0.011277") @@ -1463,6 +1602,7 @@ class Program_weight_tensor_parameter_138: class Program_weight_tensor_parameter_139: name = "parameter_139" + original_name = "batch_norm2d_71.w_1" shape = [128] dtype = "float32" min_val = float("-0.436509") @@ -1474,6 +1614,7 @@ class Program_weight_tensor_parameter_139: class Program_weight_tensor_parameter_140: name = "parameter_140" + original_name = "conv2d_77.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.430623") @@ -1485,6 +1626,7 @@ class Program_weight_tensor_parameter_140: class Program_weight_tensor_parameter_141: name = "parameter_141" + original_name = "conv2d_76.b_0" shape = [128] dtype = "float32" min_val = float("-0.0442838") @@ -1496,6 +1638,7 @@ class Program_weight_tensor_parameter_141: class Program_weight_tensor_parameter_142: name = "parameter_142" + original_name = "conv2d_76.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.28396") @@ -1507,6 +1650,7 @@ class Program_weight_tensor_parameter_142: class Program_weight_tensor_parameter_143: name = "parameter_143" + original_name = "batch_norm2d_70.b_0" shape = [128] dtype = "float32" min_val = float("-1.0377") @@ -1518,6 +1662,7 @@ class Program_weight_tensor_parameter_143: class Program_weight_tensor_parameter_144: name = "parameter_144" + original_name = "batch_norm2d_70.w_0" shape = [128] dtype = "float32" min_val = float("0.36302") @@ -1529,6 +1674,7 @@ class Program_weight_tensor_parameter_144: class Program_weight_tensor_parameter_145: name = "parameter_145" + original_name = "batch_norm2d_70.w_2" shape = [128] dtype = "float32" min_val = float("0.0639928") @@ -1540,6 +1686,7 @@ class Program_weight_tensor_parameter_145: class Program_weight_tensor_parameter_146: name = "parameter_146" + original_name = "batch_norm2d_70.w_1" shape = [128] dtype = "float32" min_val = float("-1.53298") @@ -1551,6 +1698,7 @@ class Program_weight_tensor_parameter_146: class Program_weight_tensor_parameter_147: name = "parameter_147" + original_name = "conv2d_75.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.377901") @@ -1562,6 +1710,7 @@ class Program_weight_tensor_parameter_147: class Program_weight_tensor_parameter_148: name = "parameter_148" + original_name = "batch_norm2d_69.b_0" shape = [128] dtype = "float32" min_val = float("-0.44107") @@ -1573,6 +1722,7 @@ class Program_weight_tensor_parameter_148: class Program_weight_tensor_parameter_149: name = "parameter_149" + original_name = "batch_norm2d_69.w_0" shape = [128] dtype = "float32" min_val = float("0.438879") @@ -1584,6 +1734,7 @@ class Program_weight_tensor_parameter_149: class Program_weight_tensor_parameter_150: name = "parameter_150" + original_name = "batch_norm2d_69.w_2" shape = [128] dtype = "float32" min_val = float("9.97297e-05") @@ -1595,6 +1746,7 @@ class Program_weight_tensor_parameter_150: class Program_weight_tensor_parameter_151: name = "parameter_151" + original_name = "batch_norm2d_69.w_1" shape = [128] dtype = "float32" min_val = float("-0.374796") @@ -1606,6 +1758,7 @@ class Program_weight_tensor_parameter_151: class Program_weight_tensor_parameter_152: name = "parameter_152" + original_name = "conv2d_74.w_0" shape = [128, 1, 5, 5] dtype = "float32" min_val = float("-0.4643") @@ -1617,6 +1770,7 @@ class Program_weight_tensor_parameter_152: class Program_weight_tensor_parameter_153: name = "parameter_153" + original_name = "batch_norm2d_68.b_0" shape = [128] dtype = "float32" min_val = float("-1.32816") @@ -1628,6 +1782,7 @@ class Program_weight_tensor_parameter_153: class Program_weight_tensor_parameter_154: name = "parameter_154" + original_name = "batch_norm2d_68.w_0" shape = [128] dtype = "float32" min_val = float("0.0439716") @@ -1639,6 +1794,7 @@ class Program_weight_tensor_parameter_154: class Program_weight_tensor_parameter_155: name = "parameter_155" + original_name = "batch_norm2d_68.w_2" shape = [128] dtype = "float32" min_val = float("0.0441345") @@ -1650,6 +1806,7 @@ class Program_weight_tensor_parameter_155: class Program_weight_tensor_parameter_156: name = "parameter_156" + original_name = "batch_norm2d_68.w_1" shape = [128] dtype = "float32" min_val = float("-0.604378") @@ -1661,6 +1818,7 @@ class Program_weight_tensor_parameter_156: class Program_weight_tensor_parameter_157: name = "parameter_157" + original_name = "conv2d_73.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.343683") @@ -1672,6 +1830,7 @@ class Program_weight_tensor_parameter_157: class Program_weight_tensor_parameter_158: name = "parameter_158" + original_name = "batch_norm2d_67.b_0" shape = [128] dtype = "float32" min_val = float("-0.543288") @@ -1683,6 +1842,7 @@ class Program_weight_tensor_parameter_158: class Program_weight_tensor_parameter_159: name = "parameter_159" + original_name = "batch_norm2d_67.w_0" shape = [128] dtype = "float32" min_val = float("0.533197") @@ -1694,6 +1854,7 @@ class Program_weight_tensor_parameter_159: class Program_weight_tensor_parameter_160: name = "parameter_160" + original_name = "batch_norm2d_67.w_2" shape = [128] dtype = "float32" min_val = float("0.000433345") @@ -1705,6 +1866,7 @@ class Program_weight_tensor_parameter_160: class Program_weight_tensor_parameter_161: name = "parameter_161" + original_name = "batch_norm2d_67.w_1" shape = [128] dtype = "float32" min_val = float("-0.275069") @@ -1716,6 +1878,7 @@ class Program_weight_tensor_parameter_161: class Program_weight_tensor_parameter_162: name = "parameter_162" + original_name = "conv2d_72.w_0" shape = [128, 1, 5, 5] dtype = "float32" min_val = float("-0.268468") @@ -1727,6 +1890,7 @@ class Program_weight_tensor_parameter_162: class Program_weight_tensor_parameter_163: name = "parameter_163" + original_name = "batch_norm2d_66.b_0" shape = [128] dtype = "float32" min_val = float("-0.539032") @@ -1738,6 +1902,7 @@ class Program_weight_tensor_parameter_163: class Program_weight_tensor_parameter_164: name = "parameter_164" + original_name = "batch_norm2d_66.w_0" shape = [128] dtype = "float32" min_val = float("0.143475") @@ -1749,6 +1914,7 @@ class Program_weight_tensor_parameter_164: class Program_weight_tensor_parameter_165: name = "parameter_165" + original_name = "batch_norm2d_66.w_2" shape = [128] dtype = "float32" min_val = float("0.0715116") @@ -1760,6 +1926,7 @@ class Program_weight_tensor_parameter_165: class Program_weight_tensor_parameter_166: name = "parameter_166" + original_name = "batch_norm2d_66.w_1" shape = [128] dtype = "float32" min_val = float("-0.704876") @@ -1771,6 +1938,7 @@ class Program_weight_tensor_parameter_166: class Program_weight_tensor_parameter_167: name = "parameter_167" + original_name = "conv2d_71.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.384326") @@ -1782,6 +1950,7 @@ class Program_weight_tensor_parameter_167: class Program_weight_tensor_parameter_168: name = "parameter_168" + original_name = "batch_norm2d_65.b_0" shape = [128] dtype = "float32" min_val = float("-0.756363") @@ -1793,6 +1962,7 @@ class Program_weight_tensor_parameter_168: class Program_weight_tensor_parameter_169: name = "parameter_169" + original_name = "batch_norm2d_65.w_0" shape = [128] dtype = "float32" min_val = float("0.490566") @@ -1804,6 +1974,7 @@ class Program_weight_tensor_parameter_169: class Program_weight_tensor_parameter_170: name = "parameter_170" + original_name = "batch_norm2d_65.w_2" shape = [128] dtype = "float32" min_val = float("0.000915794") @@ -1815,6 +1986,7 @@ class Program_weight_tensor_parameter_170: class Program_weight_tensor_parameter_171: name = "parameter_171" + original_name = "batch_norm2d_65.w_1" shape = [128] dtype = "float32" min_val = float("-0.428133") @@ -1826,6 +1998,7 @@ class Program_weight_tensor_parameter_171: class Program_weight_tensor_parameter_172: name = "parameter_172" + original_name = "conv2d_70.w_0" shape = [128, 1, 5, 5] dtype = "float32" min_val = float("-0.260975") @@ -1837,6 +2010,7 @@ class Program_weight_tensor_parameter_172: class Program_weight_tensor_parameter_173: name = "parameter_173" + original_name = "batch_norm2d_64.b_0" shape = [128] dtype = "float32" min_val = float("-0.759552") @@ -1848,6 +2022,7 @@ class Program_weight_tensor_parameter_173: class Program_weight_tensor_parameter_174: name = "parameter_174" + original_name = "batch_norm2d_64.w_0" shape = [128] dtype = "float32" min_val = float("0.103413") @@ -1859,6 +2034,7 @@ class Program_weight_tensor_parameter_174: class Program_weight_tensor_parameter_175: name = "parameter_175" + original_name = "batch_norm2d_64.w_2" shape = [128] dtype = "float32" min_val = float("0.0519159") @@ -1870,6 +2046,7 @@ class Program_weight_tensor_parameter_175: class Program_weight_tensor_parameter_176: name = "parameter_176" + original_name = "batch_norm2d_64.w_1" shape = [128] dtype = "float32" min_val = float("-0.625449") @@ -1881,6 +2058,7 @@ class Program_weight_tensor_parameter_176: class Program_weight_tensor_parameter_177: name = "parameter_177" + original_name = "conv2d_69.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.344386") @@ -1892,6 +2070,7 @@ class Program_weight_tensor_parameter_177: class Program_weight_tensor_parameter_178: name = "parameter_178" + original_name = "batch_norm2d_63.b_0" shape = [128] dtype = "float32" min_val = float("-0.0497877") @@ -1903,6 +2082,7 @@ class Program_weight_tensor_parameter_178: class Program_weight_tensor_parameter_179: name = "parameter_179" + original_name = "batch_norm2d_63.w_0" shape = [128] dtype = "float32" min_val = float("0.499711") @@ -1914,6 +2094,7 @@ class Program_weight_tensor_parameter_179: class Program_weight_tensor_parameter_180: name = "parameter_180" + original_name = "batch_norm2d_63.w_2" shape = [128] dtype = "float32" min_val = float("0.00299741") @@ -1925,6 +2106,7 @@ class Program_weight_tensor_parameter_180: class Program_weight_tensor_parameter_181: name = "parameter_181" + original_name = "batch_norm2d_63.w_1" shape = [128] dtype = "float32" min_val = float("-0.631537") @@ -1936,6 +2118,7 @@ class Program_weight_tensor_parameter_181: class Program_weight_tensor_parameter_182: name = "parameter_182" + original_name = "conv2d_68.w_0" shape = [128, 1, 5, 5] dtype = "float32" min_val = float("-0.332613") @@ -1947,6 +2130,7 @@ class Program_weight_tensor_parameter_182: class Program_weight_tensor_parameter_183: name = "parameter_183" + original_name = "batch_norm2d_91.b_0" shape = [1] dtype = "float32" min_val = float("0") @@ -1956,6 +2140,7 @@ class Program_weight_tensor_parameter_183: class Program_weight_tensor_parameter_184: name = "parameter_184" + original_name = "batch_norm2d_91.w_0" shape = [1] dtype = "float32" min_val = float("0") @@ -1965,6 +2150,7 @@ class Program_weight_tensor_parameter_184: class Program_weight_tensor_parameter_185: name = "parameter_185" + original_name = "batch_norm2d_91.w_2" shape = [1] dtype = "float32" min_val = float("0") @@ -1974,6 +2160,7 @@ class Program_weight_tensor_parameter_185: class Program_weight_tensor_parameter_186: name = "parameter_186" + original_name = "batch_norm2d_91.w_1" shape = [1] dtype = "float32" min_val = float("0") @@ -1983,6 +2170,7 @@ class Program_weight_tensor_parameter_186: class Program_weight_tensor_parameter_187: name = "parameter_187" + original_name = "conv2d_103.w_0" shape = [1, 1, 1, 1] dtype = "float32" min_val = float("0") @@ -1992,6 +2180,7 @@ class Program_weight_tensor_parameter_187: class Program_weight_tensor_parameter_188: name = "parameter_188" + original_name = "batch_norm2d_90.b_0" shape = [1] dtype = "float32" min_val = float("0") @@ -2001,6 +2190,7 @@ class Program_weight_tensor_parameter_188: class Program_weight_tensor_parameter_189: name = "parameter_189" + original_name = "batch_norm2d_90.w_0" shape = [1] dtype = "float32" min_val = float("0") @@ -2010,6 +2200,7 @@ class Program_weight_tensor_parameter_189: class Program_weight_tensor_parameter_190: name = "parameter_190" + original_name = "batch_norm2d_90.w_2" shape = [1] dtype = "float32" min_val = float("0") @@ -2019,6 +2210,7 @@ class Program_weight_tensor_parameter_190: class Program_weight_tensor_parameter_191: name = "parameter_191" + original_name = "batch_norm2d_90.w_1" shape = [1] dtype = "float32" min_val = float("0") @@ -2028,6 +2220,7 @@ class Program_weight_tensor_parameter_191: class Program_weight_tensor_parameter_192: name = "parameter_192" + original_name = "conv2d_102.w_0" shape = [1, 128, 5, 5] dtype = "float32" min_val = float("-0.517362") @@ -2039,6 +2232,7 @@ class Program_weight_tensor_parameter_192: class Program_weight_tensor_parameter_193: name = "parameter_193" + original_name = "conv2d_101.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -2048,6 +2242,7 @@ class Program_weight_tensor_parameter_193: class Program_weight_tensor_parameter_194: name = "parameter_194" + original_name = "conv2d_101.w_0" shape = [32, 128, 1, 1] dtype = "float32" min_val = float("-0.548081") @@ -2059,6 +2254,7 @@ class Program_weight_tensor_parameter_194: class Program_weight_tensor_parameter_195: name = "parameter_195" + original_name = "conv2d_100.b_0" shape = [4] dtype = "float32" min_val = float("0") @@ -2068,6 +2264,7 @@ class Program_weight_tensor_parameter_195: class Program_weight_tensor_parameter_196: name = "parameter_196" + original_name = "conv2d_100.w_0" shape = [4, 128, 1, 1] dtype = "float32" min_val = float("-0.0280774") @@ -2079,6 +2276,7 @@ class Program_weight_tensor_parameter_196: class Program_weight_tensor_parameter_197: name = "parameter_197" + original_name = "batch_norm2d_62.b_0" shape = [128] dtype = "float32" min_val = float("-0.767284") @@ -2090,6 +2288,7 @@ class Program_weight_tensor_parameter_197: class Program_weight_tensor_parameter_198: name = "parameter_198" + original_name = "batch_norm2d_62.w_0" shape = [128] dtype = "float32" min_val = float("0.428088") @@ -2101,6 +2300,7 @@ class Program_weight_tensor_parameter_198: class Program_weight_tensor_parameter_199: name = "parameter_199" + original_name = "batch_norm2d_62.w_2" shape = [128] dtype = "float32" min_val = float("0.0142679") @@ -2112,6 +2312,7 @@ class Program_weight_tensor_parameter_199: class Program_weight_tensor_parameter_200: name = "parameter_200" + original_name = "batch_norm2d_62.w_1" shape = [128] dtype = "float32" min_val = float("-0.497378") @@ -2123,6 +2324,7 @@ class Program_weight_tensor_parameter_200: class Program_weight_tensor_parameter_201: name = "parameter_201" + original_name = "conv2d_67.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.622406") @@ -2134,6 +2336,7 @@ class Program_weight_tensor_parameter_201: class Program_weight_tensor_parameter_202: name = "parameter_202" + original_name = "conv2d_66.b_0" shape = [128] dtype = "float32" min_val = float("-0.042073") @@ -2145,6 +2348,7 @@ class Program_weight_tensor_parameter_202: class Program_weight_tensor_parameter_203: name = "parameter_203" + original_name = "conv2d_66.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.459779") @@ -2156,6 +2360,7 @@ class Program_weight_tensor_parameter_203: class Program_weight_tensor_parameter_204: name = "parameter_204" + original_name = "batch_norm2d_61.b_0" shape = [128] dtype = "float32" min_val = float("-1.14623") @@ -2167,6 +2372,7 @@ class Program_weight_tensor_parameter_204: class Program_weight_tensor_parameter_205: name = "parameter_205" + original_name = "batch_norm2d_61.w_0" shape = [128] dtype = "float32" min_val = float("0.369668") @@ -2178,6 +2384,7 @@ class Program_weight_tensor_parameter_205: class Program_weight_tensor_parameter_206: name = "parameter_206" + original_name = "batch_norm2d_61.w_2" shape = [128] dtype = "float32" min_val = float("0.082293") @@ -2189,6 +2396,7 @@ class Program_weight_tensor_parameter_206: class Program_weight_tensor_parameter_207: name = "parameter_207" + original_name = "batch_norm2d_61.w_1" shape = [128] dtype = "float32" min_val = float("-1.41668") @@ -2200,6 +2408,7 @@ class Program_weight_tensor_parameter_207: class Program_weight_tensor_parameter_208: name = "parameter_208" + original_name = "conv2d_65.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.617549") @@ -2211,6 +2420,7 @@ class Program_weight_tensor_parameter_208: class Program_weight_tensor_parameter_209: name = "parameter_209" + original_name = "batch_norm2d_60.b_0" shape = [128] dtype = "float32" min_val = float("-1.22479") @@ -2222,6 +2432,7 @@ class Program_weight_tensor_parameter_209: class Program_weight_tensor_parameter_210: name = "parameter_210" + original_name = "batch_norm2d_60.w_0" shape = [128] dtype = "float32" min_val = float("0.41972") @@ -2233,6 +2444,7 @@ class Program_weight_tensor_parameter_210: class Program_weight_tensor_parameter_211: name = "parameter_211" + original_name = "batch_norm2d_60.w_2" shape = [128] dtype = "float32" min_val = float("0.000126157") @@ -2244,6 +2456,7 @@ class Program_weight_tensor_parameter_211: class Program_weight_tensor_parameter_212: name = "parameter_212" + original_name = "batch_norm2d_60.w_1" shape = [128] dtype = "float32" min_val = float("-0.452427") @@ -2255,6 +2468,7 @@ class Program_weight_tensor_parameter_212: class Program_weight_tensor_parameter_213: name = "parameter_213" + original_name = "conv2d_64.w_0" shape = [128, 1, 5, 5] dtype = "float32" min_val = float("-0.615459") @@ -2266,6 +2480,7 @@ class Program_weight_tensor_parameter_213: class Program_weight_tensor_parameter_214: name = "parameter_214" + original_name = "batch_norm2d_59.b_0" shape = [128] dtype = "float32" min_val = float("-1.18132") @@ -2277,6 +2492,7 @@ class Program_weight_tensor_parameter_214: class Program_weight_tensor_parameter_215: name = "parameter_215" + original_name = "batch_norm2d_59.w_0" shape = [128] dtype = "float32" min_val = float("0.0395595") @@ -2288,6 +2504,7 @@ class Program_weight_tensor_parameter_215: class Program_weight_tensor_parameter_216: name = "parameter_216" + original_name = "batch_norm2d_59.w_2" shape = [128] dtype = "float32" min_val = float("0.0573328") @@ -2299,6 +2516,7 @@ class Program_weight_tensor_parameter_216: class Program_weight_tensor_parameter_217: name = "parameter_217" + original_name = "batch_norm2d_59.w_1" shape = [128] dtype = "float32" min_val = float("-0.932972") @@ -2310,6 +2528,7 @@ class Program_weight_tensor_parameter_217: class Program_weight_tensor_parameter_218: name = "parameter_218" + original_name = "conv2d_63.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.581771") @@ -2321,6 +2540,7 @@ class Program_weight_tensor_parameter_218: class Program_weight_tensor_parameter_219: name = "parameter_219" + original_name = "batch_norm2d_58.b_0" shape = [128] dtype = "float32" min_val = float("-0.993674") @@ -2332,6 +2552,7 @@ class Program_weight_tensor_parameter_219: class Program_weight_tensor_parameter_220: name = "parameter_220" + original_name = "batch_norm2d_58.w_0" shape = [128] dtype = "float32" min_val = float("0.496146") @@ -2343,6 +2564,7 @@ class Program_weight_tensor_parameter_220: class Program_weight_tensor_parameter_221: name = "parameter_221" + original_name = "batch_norm2d_58.w_2" shape = [128] dtype = "float32" min_val = float("8.81465e-05") @@ -2354,6 +2576,7 @@ class Program_weight_tensor_parameter_221: class Program_weight_tensor_parameter_222: name = "parameter_222" + original_name = "batch_norm2d_58.w_1" shape = [128] dtype = "float32" min_val = float("-0.352038") @@ -2365,6 +2588,7 @@ class Program_weight_tensor_parameter_222: class Program_weight_tensor_parameter_223: name = "parameter_223" + original_name = "conv2d_62.w_0" shape = [128, 1, 5, 5] dtype = "float32" min_val = float("-0.350438") @@ -2376,6 +2600,7 @@ class Program_weight_tensor_parameter_223: class Program_weight_tensor_parameter_224: name = "parameter_224" + original_name = "batch_norm2d_57.b_0" shape = [128] dtype = "float32" min_val = float("-1.39768") @@ -2387,6 +2612,7 @@ class Program_weight_tensor_parameter_224: class Program_weight_tensor_parameter_225: name = "parameter_225" + original_name = "batch_norm2d_57.w_0" shape = [128] dtype = "float32" min_val = float("0.0608506") @@ -2398,6 +2624,7 @@ class Program_weight_tensor_parameter_225: class Program_weight_tensor_parameter_226: name = "parameter_226" + original_name = "batch_norm2d_57.w_2" shape = [128] dtype = "float32" min_val = float("0.0870411") @@ -2409,6 +2636,7 @@ class Program_weight_tensor_parameter_226: class Program_weight_tensor_parameter_227: name = "parameter_227" + original_name = "batch_norm2d_57.w_1" shape = [128] dtype = "float32" min_val = float("-1.91949") @@ -2420,6 +2648,7 @@ class Program_weight_tensor_parameter_227: class Program_weight_tensor_parameter_228: name = "parameter_228" + original_name = "conv2d_61.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.476188") @@ -2431,6 +2660,7 @@ class Program_weight_tensor_parameter_228: class Program_weight_tensor_parameter_229: name = "parameter_229" + original_name = "batch_norm2d_56.b_0" shape = [128] dtype = "float32" min_val = float("-0.831886") @@ -2442,6 +2672,7 @@ class Program_weight_tensor_parameter_229: class Program_weight_tensor_parameter_230: name = "parameter_230" + original_name = "batch_norm2d_56.w_0" shape = [128] dtype = "float32" min_val = float("0.447848") @@ -2453,6 +2684,7 @@ class Program_weight_tensor_parameter_230: class Program_weight_tensor_parameter_231: name = "parameter_231" + original_name = "batch_norm2d_56.w_2" shape = [128] dtype = "float32" min_val = float("0.000320532") @@ -2464,6 +2696,7 @@ class Program_weight_tensor_parameter_231: class Program_weight_tensor_parameter_232: name = "parameter_232" + original_name = "batch_norm2d_56.w_1" shape = [128] dtype = "float32" min_val = float("-0.484525") @@ -2475,6 +2708,7 @@ class Program_weight_tensor_parameter_232: class Program_weight_tensor_parameter_233: name = "parameter_233" + original_name = "conv2d_60.w_0" shape = [128, 1, 5, 5] dtype = "float32" min_val = float("-0.355469") @@ -2486,6 +2720,7 @@ class Program_weight_tensor_parameter_233: class Program_weight_tensor_parameter_234: name = "parameter_234" + original_name = "batch_norm2d_55.b_0" shape = [128] dtype = "float32" min_val = float("-0.992895") @@ -2497,6 +2732,7 @@ class Program_weight_tensor_parameter_234: class Program_weight_tensor_parameter_235: name = "parameter_235" + original_name = "batch_norm2d_55.w_0" shape = [128] dtype = "float32" min_val = float("0.0912093") @@ -2508,6 +2744,7 @@ class Program_weight_tensor_parameter_235: class Program_weight_tensor_parameter_236: name = "parameter_236" + original_name = "batch_norm2d_55.w_2" shape = [128] dtype = "float32" min_val = float("0.0687013") @@ -2519,6 +2756,7 @@ class Program_weight_tensor_parameter_236: class Program_weight_tensor_parameter_237: name = "parameter_237" + original_name = "batch_norm2d_55.w_1" shape = [128] dtype = "float32" min_val = float("-1.37571") @@ -2530,6 +2768,7 @@ class Program_weight_tensor_parameter_237: class Program_weight_tensor_parameter_238: name = "parameter_238" + original_name = "conv2d_59.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.59794") @@ -2541,6 +2780,7 @@ class Program_weight_tensor_parameter_238: class Program_weight_tensor_parameter_239: name = "parameter_239" + original_name = "batch_norm2d_54.b_0" shape = [128] dtype = "float32" min_val = float("-0.117188") @@ -2552,6 +2792,7 @@ class Program_weight_tensor_parameter_239: class Program_weight_tensor_parameter_240: name = "parameter_240" + original_name = "batch_norm2d_54.w_0" shape = [128] dtype = "float32" min_val = float("0.404575") @@ -2563,6 +2804,7 @@ class Program_weight_tensor_parameter_240: class Program_weight_tensor_parameter_241: name = "parameter_241" + original_name = "batch_norm2d_54.w_2" shape = [128] dtype = "float32" min_val = float("0.00137661") @@ -2574,6 +2816,7 @@ class Program_weight_tensor_parameter_241: class Program_weight_tensor_parameter_242: name = "parameter_242" + original_name = "batch_norm2d_54.w_1" shape = [128] dtype = "float32" min_val = float("-0.372183") @@ -2585,6 +2828,7 @@ class Program_weight_tensor_parameter_242: class Program_weight_tensor_parameter_243: name = "parameter_243" + original_name = "conv2d_58.w_0" shape = [128, 1, 5, 5] dtype = "float32" min_val = float("-0.401948") @@ -2596,6 +2840,7 @@ class Program_weight_tensor_parameter_243: class Program_weight_tensor_parameter_244: name = "parameter_244" + original_name = "batch_norm2d_33.b_0" shape = [128] dtype = "float32" min_val = float("-0.0777025") @@ -2607,6 +2852,7 @@ class Program_weight_tensor_parameter_244: class Program_weight_tensor_parameter_245: name = "parameter_245" + original_name = "batch_norm2d_33.w_0" shape = [128] dtype = "float32" min_val = float("0.00626794") @@ -2618,6 +2864,7 @@ class Program_weight_tensor_parameter_245: class Program_weight_tensor_parameter_246: name = "parameter_246" + original_name = "batch_norm2d_33.w_2" shape = [128] dtype = "float32" min_val = float("5.38267e-05") @@ -2629,6 +2876,7 @@ class Program_weight_tensor_parameter_246: class Program_weight_tensor_parameter_247: name = "parameter_247" + original_name = "batch_norm2d_33.w_1" shape = [128] dtype = "float32" min_val = float("-0.0111934") @@ -2640,6 +2888,7 @@ class Program_weight_tensor_parameter_247: class Program_weight_tensor_parameter_248: name = "parameter_248" + original_name = "conv2d_37.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.263587") @@ -2651,6 +2900,7 @@ class Program_weight_tensor_parameter_248: class Program_weight_tensor_parameter_249: name = "parameter_249" + original_name = "batch_norm2d_32.b_0" shape = [128] dtype = "float32" min_val = float("-0.166459") @@ -2662,6 +2912,7 @@ class Program_weight_tensor_parameter_249: class Program_weight_tensor_parameter_250: name = "parameter_250" + original_name = "batch_norm2d_32.w_0" shape = [128] dtype = "float32" min_val = float("0.0592484") @@ -2673,6 +2924,7 @@ class Program_weight_tensor_parameter_250: class Program_weight_tensor_parameter_251: name = "parameter_251" + original_name = "batch_norm2d_32.w_2" shape = [128] dtype = "float32" min_val = float("0.000291746") @@ -2684,6 +2936,7 @@ class Program_weight_tensor_parameter_251: class Program_weight_tensor_parameter_252: name = "parameter_252" + original_name = "batch_norm2d_32.w_1" shape = [128] dtype = "float32" min_val = float("-0.375115") @@ -2695,6 +2948,7 @@ class Program_weight_tensor_parameter_252: class Program_weight_tensor_parameter_253: name = "parameter_253" + original_name = "conv2d_36.w_0" shape = [128, 1, 5, 5] dtype = "float32" min_val = float("-0.157171") @@ -2706,6 +2960,7 @@ class Program_weight_tensor_parameter_253: class Program_weight_tensor_parameter_254: name = "parameter_254" + original_name = "batch_norm2d_31.b_0" shape = [128] dtype = "float32" min_val = float("-0.0813256") @@ -2717,6 +2972,7 @@ class Program_weight_tensor_parameter_254: class Program_weight_tensor_parameter_255: name = "parameter_255" + original_name = "batch_norm2d_31.w_0" shape = [128] dtype = "float32" min_val = float("0.00354969") @@ -2728,6 +2984,7 @@ class Program_weight_tensor_parameter_255: class Program_weight_tensor_parameter_256: name = "parameter_256" + original_name = "batch_norm2d_31.w_2" shape = [128] dtype = "float32" min_val = float("3.73611e-05") @@ -2739,6 +2996,7 @@ class Program_weight_tensor_parameter_256: class Program_weight_tensor_parameter_257: name = "parameter_257" + original_name = "batch_norm2d_31.w_1" shape = [128] dtype = "float32" min_val = float("-0.00637771") @@ -2750,6 +3008,7 @@ class Program_weight_tensor_parameter_257: class Program_weight_tensor_parameter_258: name = "parameter_258" + original_name = "conv2d_35.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.229532") @@ -2761,6 +3020,7 @@ class Program_weight_tensor_parameter_258: class Program_weight_tensor_parameter_259: name = "parameter_259" + original_name = "batch_norm2d_30.b_0" shape = [128] dtype = "float32" min_val = float("-0.0510405") @@ -2772,6 +3032,7 @@ class Program_weight_tensor_parameter_259: class Program_weight_tensor_parameter_260: name = "parameter_260" + original_name = "batch_norm2d_30.w_0" shape = [128] dtype = "float32" min_val = float("0.0169983") @@ -2783,6 +3044,7 @@ class Program_weight_tensor_parameter_260: class Program_weight_tensor_parameter_261: name = "parameter_261" + original_name = "batch_norm2d_30.w_2" shape = [128] dtype = "float32" min_val = float("4.54972e-06") @@ -2794,6 +3056,7 @@ class Program_weight_tensor_parameter_261: class Program_weight_tensor_parameter_262: name = "parameter_262" + original_name = "batch_norm2d_30.w_1" shape = [128] dtype = "float32" min_val = float("-0.0365659") @@ -2805,6 +3068,7 @@ class Program_weight_tensor_parameter_262: class Program_weight_tensor_parameter_263: name = "parameter_263" + original_name = "conv2d_34.w_0" shape = [128, 1, 5, 5] dtype = "float32" min_val = float("-0.133984") @@ -2816,6 +3080,7 @@ class Program_weight_tensor_parameter_263: class Program_weight_tensor_parameter_264: name = "parameter_264" + original_name = "batch_norm2d_53.b_0" shape = [128] dtype = "float32" min_val = float("-1.12844") @@ -2827,6 +3092,7 @@ class Program_weight_tensor_parameter_264: class Program_weight_tensor_parameter_265: name = "parameter_265" + original_name = "batch_norm2d_53.w_0" shape = [128] dtype = "float32" min_val = float("0.153161") @@ -2838,6 +3104,7 @@ class Program_weight_tensor_parameter_265: class Program_weight_tensor_parameter_266: name = "parameter_266" + original_name = "batch_norm2d_53.w_2" shape = [128] dtype = "float32" min_val = float("0.105695") @@ -2849,6 +3116,7 @@ class Program_weight_tensor_parameter_266: class Program_weight_tensor_parameter_267: name = "parameter_267" + original_name = "batch_norm2d_53.w_1" shape = [128] dtype = "float32" min_val = float("-0.501924") @@ -2860,6 +3128,7 @@ class Program_weight_tensor_parameter_267: class Program_weight_tensor_parameter_268: name = "parameter_268" + original_name = "conv2d_57.w_0" shape = [128, 256, 1, 1] dtype = "float32" min_val = float("-0.303875") @@ -2871,6 +3140,7 @@ class Program_weight_tensor_parameter_268: class Program_weight_tensor_parameter_269: name = "parameter_269" + original_name = "batch_norm2d_52.b_0" shape = [256] dtype = "float32" min_val = float("-0.561948") @@ -2882,6 +3152,7 @@ class Program_weight_tensor_parameter_269: class Program_weight_tensor_parameter_270: name = "parameter_270" + original_name = "batch_norm2d_52.w_0" shape = [256] dtype = "float32" min_val = float("0.654182") @@ -2893,6 +3164,7 @@ class Program_weight_tensor_parameter_270: class Program_weight_tensor_parameter_271: name = "parameter_271" + original_name = "batch_norm2d_52.w_2" shape = [256] dtype = "float32" min_val = float("0.00550309") @@ -2904,6 +3176,7 @@ class Program_weight_tensor_parameter_271: class Program_weight_tensor_parameter_272: name = "parameter_272" + original_name = "batch_norm2d_52.w_1" shape = [256] dtype = "float32" min_val = float("-0.239817") @@ -2915,6 +3188,7 @@ class Program_weight_tensor_parameter_272: class Program_weight_tensor_parameter_273: name = "parameter_273" + original_name = "conv2d_56.w_0" shape = [256, 1, 5, 5] dtype = "float32" min_val = float("-0.21924") @@ -2926,6 +3200,7 @@ class Program_weight_tensor_parameter_273: class Program_weight_tensor_parameter_274: name = "parameter_274" + original_name = "batch_norm2d_51.b_0" shape = [256] dtype = "float32" min_val = float("-0.837643") @@ -2937,6 +3212,7 @@ class Program_weight_tensor_parameter_274: class Program_weight_tensor_parameter_275: name = "parameter_275" + original_name = "batch_norm2d_51.w_0" shape = [256] dtype = "float32" min_val = float("0.502986") @@ -2948,6 +3224,7 @@ class Program_weight_tensor_parameter_275: class Program_weight_tensor_parameter_276: name = "parameter_276" + original_name = "batch_norm2d_51.w_2" shape = [256] dtype = "float32" min_val = float("0.0740257") @@ -2959,6 +3236,7 @@ class Program_weight_tensor_parameter_276: class Program_weight_tensor_parameter_277: name = "parameter_277" + original_name = "batch_norm2d_51.w_1" shape = [256] dtype = "float32" min_val = float("-0.751619") @@ -2970,6 +3248,7 @@ class Program_weight_tensor_parameter_277: class Program_weight_tensor_parameter_278: name = "parameter_278" + original_name = "conv2d_55.w_0" shape = [256, 256, 1, 1] dtype = "float32" min_val = float("-0.30347") @@ -2981,6 +3260,7 @@ class Program_weight_tensor_parameter_278: class Program_weight_tensor_parameter_279: name = "parameter_279" + original_name = "batch_norm2d_50.b_0" shape = [256] dtype = "float32" min_val = float("-0.926956") @@ -2992,6 +3272,7 @@ class Program_weight_tensor_parameter_279: class Program_weight_tensor_parameter_280: name = "parameter_280" + original_name = "batch_norm2d_50.w_0" shape = [256] dtype = "float32" min_val = float("0.539759") @@ -3003,6 +3284,7 @@ class Program_weight_tensor_parameter_280: class Program_weight_tensor_parameter_281: name = "parameter_281" + original_name = "batch_norm2d_50.w_2" shape = [256] dtype = "float32" min_val = float("4.20977e-05") @@ -3014,6 +3296,7 @@ class Program_weight_tensor_parameter_281: class Program_weight_tensor_parameter_282: name = "parameter_282" + original_name = "batch_norm2d_50.w_1" shape = [256] dtype = "float32" min_val = float("-0.0316001") @@ -3025,6 +3308,7 @@ class Program_weight_tensor_parameter_282: class Program_weight_tensor_parameter_283: name = "parameter_283" + original_name = "conv2d_54.w_0" shape = [256, 1, 5, 5] dtype = "float32" min_val = float("-0.306925") @@ -3036,6 +3320,7 @@ class Program_weight_tensor_parameter_283: class Program_weight_tensor_parameter_284: name = "parameter_284" + original_name = "batch_norm2d_49.b_0" shape = [128] dtype = "float32" min_val = float("-0.101457") @@ -3047,6 +3332,7 @@ class Program_weight_tensor_parameter_284: class Program_weight_tensor_parameter_285: name = "parameter_285" + original_name = "batch_norm2d_49.w_0" shape = [128] dtype = "float32" min_val = float("0.048759") @@ -3058,6 +3344,7 @@ class Program_weight_tensor_parameter_285: class Program_weight_tensor_parameter_286: name = "parameter_286" + original_name = "batch_norm2d_49.w_2" shape = [128] dtype = "float32" min_val = float("0.000581237") @@ -3069,6 +3356,7 @@ class Program_weight_tensor_parameter_286: class Program_weight_tensor_parameter_287: name = "parameter_287" + original_name = "batch_norm2d_49.w_1" shape = [128] dtype = "float32" min_val = float("-0.0289962") @@ -3080,6 +3368,7 @@ class Program_weight_tensor_parameter_287: class Program_weight_tensor_parameter_288: name = "parameter_288" + original_name = "conv2d_53.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.265892") @@ -3091,6 +3380,7 @@ class Program_weight_tensor_parameter_288: class Program_weight_tensor_parameter_289: name = "parameter_289" + original_name = "batch_norm2d_48.b_0" shape = [128] dtype = "float32" min_val = float("-0.387828") @@ -3102,6 +3392,7 @@ class Program_weight_tensor_parameter_289: class Program_weight_tensor_parameter_290: name = "parameter_290" + original_name = "batch_norm2d_48.w_0" shape = [128] dtype = "float32" min_val = float("0.0396281") @@ -3113,6 +3404,7 @@ class Program_weight_tensor_parameter_290: class Program_weight_tensor_parameter_291: name = "parameter_291" + original_name = "batch_norm2d_48.w_2" shape = [128] dtype = "float32" min_val = float("0.000760377") @@ -3124,6 +3416,7 @@ class Program_weight_tensor_parameter_291: class Program_weight_tensor_parameter_292: name = "parameter_292" + original_name = "batch_norm2d_48.w_1" shape = [128] dtype = "float32" min_val = float("-0.36") @@ -3135,6 +3428,7 @@ class Program_weight_tensor_parameter_292: class Program_weight_tensor_parameter_293: name = "parameter_293" + original_name = "conv2d_52.w_0" shape = [128, 1, 5, 5] dtype = "float32" min_val = float("-0.206093") @@ -3146,6 +3440,7 @@ class Program_weight_tensor_parameter_293: class Program_weight_tensor_parameter_294: name = "parameter_294" + original_name = "batch_norm2d_47.b_0" shape = [128] dtype = "float32" min_val = float("-1.06378") @@ -3157,6 +3452,7 @@ class Program_weight_tensor_parameter_294: class Program_weight_tensor_parameter_295: name = "parameter_295" + original_name = "batch_norm2d_47.w_0" shape = [128] dtype = "float32" min_val = float("0.165644") @@ -3168,6 +3464,7 @@ class Program_weight_tensor_parameter_295: class Program_weight_tensor_parameter_296: name = "parameter_296" + original_name = "batch_norm2d_47.w_2" shape = [128] dtype = "float32" min_val = float("0.146812") @@ -3179,6 +3476,7 @@ class Program_weight_tensor_parameter_296: class Program_weight_tensor_parameter_297: name = "parameter_297" + original_name = "batch_norm2d_47.w_1" shape = [128] dtype = "float32" min_val = float("-0.720655") @@ -3190,6 +3488,7 @@ class Program_weight_tensor_parameter_297: class Program_weight_tensor_parameter_298: name = "parameter_298" + original_name = "conv2d_51.w_0" shape = [128, 256, 1, 1] dtype = "float32" min_val = float("-0.369382") @@ -3201,6 +3500,7 @@ class Program_weight_tensor_parameter_298: class Program_weight_tensor_parameter_299: name = "parameter_299" + original_name = "batch_norm2d_46.b_0" shape = [256] dtype = "float32" min_val = float("-0.556533") @@ -3212,6 +3512,7 @@ class Program_weight_tensor_parameter_299: class Program_weight_tensor_parameter_300: name = "parameter_300" + original_name = "batch_norm2d_46.w_0" shape = [256] dtype = "float32" min_val = float("0.585282") @@ -3223,6 +3524,7 @@ class Program_weight_tensor_parameter_300: class Program_weight_tensor_parameter_301: name = "parameter_301" + original_name = "batch_norm2d_46.w_2" shape = [256] dtype = "float32" min_val = float("0.00557888") @@ -3234,6 +3536,7 @@ class Program_weight_tensor_parameter_301: class Program_weight_tensor_parameter_302: name = "parameter_302" + original_name = "batch_norm2d_46.w_1" shape = [256] dtype = "float32" min_val = float("-0.389026") @@ -3245,6 +3548,7 @@ class Program_weight_tensor_parameter_302: class Program_weight_tensor_parameter_303: name = "parameter_303" + original_name = "conv2d_50.w_0" shape = [256, 1, 5, 5] dtype = "float32" min_val = float("-0.2867") @@ -3256,6 +3560,7 @@ class Program_weight_tensor_parameter_303: class Program_weight_tensor_parameter_304: name = "parameter_304" + original_name = "batch_norm2d_45.b_0" shape = [256] dtype = "float32" min_val = float("-1.23732") @@ -3267,6 +3572,7 @@ class Program_weight_tensor_parameter_304: class Program_weight_tensor_parameter_305: name = "parameter_305" + original_name = "batch_norm2d_45.w_0" shape = [256] dtype = "float32" min_val = float("0.578294") @@ -3278,6 +3584,7 @@ class Program_weight_tensor_parameter_305: class Program_weight_tensor_parameter_306: name = "parameter_306" + original_name = "batch_norm2d_45.w_2" shape = [256] dtype = "float32" min_val = float("0.0987963") @@ -3289,6 +3596,7 @@ class Program_weight_tensor_parameter_306: class Program_weight_tensor_parameter_307: name = "parameter_307" + original_name = "batch_norm2d_45.w_1" shape = [256] dtype = "float32" min_val = float("-0.906536") @@ -3300,6 +3608,7 @@ class Program_weight_tensor_parameter_307: class Program_weight_tensor_parameter_308: name = "parameter_308" + original_name = "conv2d_49.w_0" shape = [256, 256, 1, 1] dtype = "float32" min_val = float("-0.347947") @@ -3311,6 +3620,7 @@ class Program_weight_tensor_parameter_308: class Program_weight_tensor_parameter_309: name = "parameter_309" + original_name = "batch_norm2d_44.b_0" shape = [256] dtype = "float32" min_val = float("-0.855421") @@ -3322,6 +3632,7 @@ class Program_weight_tensor_parameter_309: class Program_weight_tensor_parameter_310: name = "parameter_310" + original_name = "batch_norm2d_44.w_0" shape = [256] dtype = "float32" min_val = float("0.595153") @@ -3333,6 +3644,7 @@ class Program_weight_tensor_parameter_310: class Program_weight_tensor_parameter_311: name = "parameter_311" + original_name = "batch_norm2d_44.w_2" shape = [256] dtype = "float32" min_val = float("5.10925e-05") @@ -3344,6 +3656,7 @@ class Program_weight_tensor_parameter_311: class Program_weight_tensor_parameter_312: name = "parameter_312" + original_name = "batch_norm2d_44.w_1" shape = [256] dtype = "float32" min_val = float("-0.466439") @@ -3355,6 +3668,7 @@ class Program_weight_tensor_parameter_312: class Program_weight_tensor_parameter_313: name = "parameter_313" + original_name = "conv2d_48.w_0" shape = [256, 1, 5, 5] dtype = "float32" min_val = float("-0.419147") @@ -3366,6 +3680,7 @@ class Program_weight_tensor_parameter_313: class Program_weight_tensor_parameter_314: name = "parameter_314" + original_name = "batch_norm2d_43.b_0" shape = [128] dtype = "float32" min_val = float("-0.149595") @@ -3377,6 +3692,7 @@ class Program_weight_tensor_parameter_314: class Program_weight_tensor_parameter_315: name = "parameter_315" + original_name = "batch_norm2d_43.w_0" shape = [128] dtype = "float32" min_val = float("0.0493305") @@ -3388,6 +3704,7 @@ class Program_weight_tensor_parameter_315: class Program_weight_tensor_parameter_316: name = "parameter_316" + original_name = "batch_norm2d_43.w_2" shape = [128] dtype = "float32" min_val = float("0.00118933") @@ -3399,6 +3716,7 @@ class Program_weight_tensor_parameter_316: class Program_weight_tensor_parameter_317: name = "parameter_317" + original_name = "batch_norm2d_43.w_1" shape = [128] dtype = "float32" min_val = float("-0.0603067") @@ -3410,6 +3728,7 @@ class Program_weight_tensor_parameter_317: class Program_weight_tensor_parameter_318: name = "parameter_318" + original_name = "conv2d_47.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.308637") @@ -3421,6 +3740,7 @@ class Program_weight_tensor_parameter_318: class Program_weight_tensor_parameter_319: name = "parameter_319" + original_name = "batch_norm2d_42.b_0" shape = [128] dtype = "float32" min_val = float("-0.314457") @@ -3432,6 +3752,7 @@ class Program_weight_tensor_parameter_319: class Program_weight_tensor_parameter_320: name = "parameter_320" + original_name = "batch_norm2d_42.w_0" shape = [128] dtype = "float32" min_val = float("0.0746202") @@ -3443,6 +3764,7 @@ class Program_weight_tensor_parameter_320: class Program_weight_tensor_parameter_321: name = "parameter_321" + original_name = "batch_norm2d_42.w_2" shape = [128] dtype = "float32" min_val = float("0.000178662") @@ -3454,6 +3776,7 @@ class Program_weight_tensor_parameter_321: class Program_weight_tensor_parameter_322: name = "parameter_322" + original_name = "batch_norm2d_42.w_1" shape = [128] dtype = "float32" min_val = float("-0.328531") @@ -3465,6 +3788,7 @@ class Program_weight_tensor_parameter_322: class Program_weight_tensor_parameter_323: name = "parameter_323" + original_name = "conv2d_46.w_0" shape = [128, 1, 5, 5] dtype = "float32" min_val = float("-0.291615") @@ -3476,6 +3800,7 @@ class Program_weight_tensor_parameter_323: class Program_weight_tensor_parameter_324: name = "parameter_324" + original_name = "batch_norm2d_41.b_0" shape = [128] dtype = "float32" min_val = float("-1.67147") @@ -3487,6 +3812,7 @@ class Program_weight_tensor_parameter_324: class Program_weight_tensor_parameter_325: name = "parameter_325" + original_name = "batch_norm2d_41.w_0" shape = [128] dtype = "float32" min_val = float("0.12253") @@ -3498,6 +3824,7 @@ class Program_weight_tensor_parameter_325: class Program_weight_tensor_parameter_326: name = "parameter_326" + original_name = "batch_norm2d_41.w_2" shape = [128] dtype = "float32" min_val = float("0.126036") @@ -3509,6 +3836,7 @@ class Program_weight_tensor_parameter_326: class Program_weight_tensor_parameter_327: name = "parameter_327" + original_name = "batch_norm2d_41.w_1" shape = [128] dtype = "float32" min_val = float("-0.933596") @@ -3520,6 +3848,7 @@ class Program_weight_tensor_parameter_327: class Program_weight_tensor_parameter_328: name = "parameter_328" + original_name = "conv2d_45.w_0" shape = [128, 256, 1, 1] dtype = "float32" min_val = float("-0.493592") @@ -3531,6 +3860,7 @@ class Program_weight_tensor_parameter_328: class Program_weight_tensor_parameter_329: name = "parameter_329" + original_name = "batch_norm2d_40.b_0" shape = [256] dtype = "float32" min_val = float("-1.13748") @@ -3542,6 +3872,7 @@ class Program_weight_tensor_parameter_329: class Program_weight_tensor_parameter_330: name = "parameter_330" + original_name = "batch_norm2d_40.w_0" shape = [256] dtype = "float32" min_val = float("0.407562") @@ -3553,6 +3884,7 @@ class Program_weight_tensor_parameter_330: class Program_weight_tensor_parameter_331: name = "parameter_331" + original_name = "batch_norm2d_40.w_2" shape = [256] dtype = "float32" min_val = float("0.000169855") @@ -3564,6 +3896,7 @@ class Program_weight_tensor_parameter_331: class Program_weight_tensor_parameter_332: name = "parameter_332" + original_name = "batch_norm2d_40.w_1" shape = [256] dtype = "float32" min_val = float("-0.493498") @@ -3575,6 +3908,7 @@ class Program_weight_tensor_parameter_332: class Program_weight_tensor_parameter_333: name = "parameter_333" + original_name = "conv2d_44.w_0" shape = [256, 1, 5, 5] dtype = "float32" min_val = float("-0.452621") @@ -3586,6 +3920,7 @@ class Program_weight_tensor_parameter_333: class Program_weight_tensor_parameter_334: name = "parameter_334" + original_name = "batch_norm2d_39.b_0" shape = [256] dtype = "float32" min_val = float("-1.74296") @@ -3597,6 +3932,7 @@ class Program_weight_tensor_parameter_334: class Program_weight_tensor_parameter_335: name = "parameter_335" + original_name = "batch_norm2d_39.w_0" shape = [256] dtype = "float32" min_val = float("0.040558") @@ -3608,6 +3944,7 @@ class Program_weight_tensor_parameter_335: class Program_weight_tensor_parameter_336: name = "parameter_336" + original_name = "batch_norm2d_39.w_2" shape = [256] dtype = "float32" min_val = float("0.204251") @@ -3619,6 +3956,7 @@ class Program_weight_tensor_parameter_336: class Program_weight_tensor_parameter_337: name = "parameter_337" + original_name = "batch_norm2d_39.w_1" shape = [256] dtype = "float32" min_val = float("-1.76357") @@ -3630,6 +3968,7 @@ class Program_weight_tensor_parameter_337: class Program_weight_tensor_parameter_338: name = "parameter_338" + original_name = "conv2d_43.w_0" shape = [256, 256, 1, 1] dtype = "float32" min_val = float("-0.384675") @@ -3641,6 +3980,7 @@ class Program_weight_tensor_parameter_338: class Program_weight_tensor_parameter_339: name = "parameter_339" + original_name = "batch_norm2d_38.b_0" shape = [256] dtype = "float32" min_val = float("-0.783542") @@ -3652,6 +3992,7 @@ class Program_weight_tensor_parameter_339: class Program_weight_tensor_parameter_340: name = "parameter_340" + original_name = "batch_norm2d_38.w_0" shape = [256] dtype = "float32" min_val = float("0.558462") @@ -3663,6 +4004,7 @@ class Program_weight_tensor_parameter_340: class Program_weight_tensor_parameter_341: name = "parameter_341" + original_name = "batch_norm2d_38.w_2" shape = [256] dtype = "float32" min_val = float("8.68331e-05") @@ -3674,6 +4016,7 @@ class Program_weight_tensor_parameter_341: class Program_weight_tensor_parameter_342: name = "parameter_342" + original_name = "batch_norm2d_38.w_1" shape = [256] dtype = "float32" min_val = float("-0.761635") @@ -3685,6 +4028,7 @@ class Program_weight_tensor_parameter_342: class Program_weight_tensor_parameter_343: name = "parameter_343" + original_name = "conv2d_42.w_0" shape = [256, 1, 5, 5] dtype = "float32" min_val = float("-0.593284") @@ -3696,6 +4040,7 @@ class Program_weight_tensor_parameter_343: class Program_weight_tensor_parameter_344: name = "parameter_344" + original_name = "batch_norm2d_37.b_0" shape = [128] dtype = "float32" min_val = float("-0.679396") @@ -3707,6 +4052,7 @@ class Program_weight_tensor_parameter_344: class Program_weight_tensor_parameter_345: name = "parameter_345" + original_name = "batch_norm2d_37.w_0" shape = [128] dtype = "float32" min_val = float("0.177368") @@ -3718,6 +4064,7 @@ class Program_weight_tensor_parameter_345: class Program_weight_tensor_parameter_346: name = "parameter_346" + original_name = "batch_norm2d_37.w_2" shape = [128] dtype = "float32" min_val = float("0.320587") @@ -3729,6 +4076,7 @@ class Program_weight_tensor_parameter_346: class Program_weight_tensor_parameter_347: name = "parameter_347" + original_name = "batch_norm2d_37.w_1" shape = [128] dtype = "float32" min_val = float("-1.23404") @@ -3740,6 +4088,7 @@ class Program_weight_tensor_parameter_347: class Program_weight_tensor_parameter_348: name = "parameter_348" + original_name = "conv2d_41.w_0" shape = [128, 256, 1, 1] dtype = "float32" min_val = float("-0.388015") @@ -3751,6 +4100,7 @@ class Program_weight_tensor_parameter_348: class Program_weight_tensor_parameter_349: name = "parameter_349" + original_name = "batch_norm2d_36.b_0" shape = [256] dtype = "float32" min_val = float("-1.00127") @@ -3762,6 +4112,7 @@ class Program_weight_tensor_parameter_349: class Program_weight_tensor_parameter_350: name = "parameter_350" + original_name = "batch_norm2d_36.w_0" shape = [256] dtype = "float32" min_val = float("0.604187") @@ -3773,6 +4124,7 @@ class Program_weight_tensor_parameter_350: class Program_weight_tensor_parameter_351: name = "parameter_351" + original_name = "batch_norm2d_36.w_2" shape = [256] dtype = "float32" min_val = float("0.00210374") @@ -3784,6 +4136,7 @@ class Program_weight_tensor_parameter_351: class Program_weight_tensor_parameter_352: name = "parameter_352" + original_name = "batch_norm2d_36.w_1" shape = [256] dtype = "float32" min_val = float("-0.296665") @@ -3795,6 +4148,7 @@ class Program_weight_tensor_parameter_352: class Program_weight_tensor_parameter_353: name = "parameter_353" + original_name = "conv2d_40.w_0" shape = [256, 1, 5, 5] dtype = "float32" min_val = float("-0.45905") @@ -3806,6 +4160,7 @@ class Program_weight_tensor_parameter_353: class Program_weight_tensor_parameter_354: name = "parameter_354" + original_name = "batch_norm2d_35.b_0" shape = [256] dtype = "float32" min_val = float("-1.22219") @@ -3817,6 +4172,7 @@ class Program_weight_tensor_parameter_354: class Program_weight_tensor_parameter_355: name = "parameter_355" + original_name = "batch_norm2d_35.w_0" shape = [256] dtype = "float32" min_val = float("0.203283") @@ -3828,6 +4184,7 @@ class Program_weight_tensor_parameter_355: class Program_weight_tensor_parameter_356: name = "parameter_356" + original_name = "batch_norm2d_35.w_2" shape = [256] dtype = "float32" min_val = float("0.26026") @@ -3839,6 +4196,7 @@ class Program_weight_tensor_parameter_356: class Program_weight_tensor_parameter_357: name = "parameter_357" + original_name = "batch_norm2d_35.w_1" shape = [256] dtype = "float32" min_val = float("-2.28725") @@ -3850,6 +4208,7 @@ class Program_weight_tensor_parameter_357: class Program_weight_tensor_parameter_358: name = "parameter_358" + original_name = "conv2d_39.w_0" shape = [256, 256, 1, 1] dtype = "float32" min_val = float("-0.509708") @@ -3861,6 +4220,7 @@ class Program_weight_tensor_parameter_358: class Program_weight_tensor_parameter_359: name = "parameter_359" + original_name = "batch_norm2d_34.b_0" shape = [256] dtype = "float32" min_val = float("-0.963954") @@ -3872,6 +4232,7 @@ class Program_weight_tensor_parameter_359: class Program_weight_tensor_parameter_360: name = "parameter_360" + original_name = "batch_norm2d_34.w_0" shape = [256] dtype = "float32" min_val = float("0.803262") @@ -3883,6 +4244,7 @@ class Program_weight_tensor_parameter_360: class Program_weight_tensor_parameter_361: name = "parameter_361" + original_name = "batch_norm2d_34.w_2" shape = [256] dtype = "float32" min_val = float("8.93593e-05") @@ -3894,6 +4256,7 @@ class Program_weight_tensor_parameter_361: class Program_weight_tensor_parameter_362: name = "parameter_362" + original_name = "batch_norm2d_34.w_1" shape = [256] dtype = "float32" min_val = float("-0.0583011") @@ -3905,6 +4268,7 @@ class Program_weight_tensor_parameter_362: class Program_weight_tensor_parameter_363: name = "parameter_363" + original_name = "conv2d_38.w_0" shape = [256, 1, 5, 5] dtype = "float32" min_val = float("-0.450699") @@ -3916,6 +4280,7 @@ class Program_weight_tensor_parameter_363: class Program_weight_tensor_parameter_364: name = "parameter_364" + original_name = "batch_norm2d_29.b_0" shape = [128] dtype = "float32" min_val = float("-0.192636") @@ -3927,6 +4292,7 @@ class Program_weight_tensor_parameter_364: class Program_weight_tensor_parameter_365: name = "parameter_365" + original_name = "batch_norm2d_29.w_0" shape = [128] dtype = "float32" min_val = float("0.060181") @@ -3938,6 +4304,7 @@ class Program_weight_tensor_parameter_365: class Program_weight_tensor_parameter_366: name = "parameter_366" + original_name = "batch_norm2d_29.w_2" shape = [128] dtype = "float32" min_val = float("1.8765") @@ -3949,6 +4316,7 @@ class Program_weight_tensor_parameter_366: class Program_weight_tensor_parameter_367: name = "parameter_367" + original_name = "batch_norm2d_29.w_1" shape = [128] dtype = "float32" min_val = float("-1.94517") @@ -3960,6 +4328,7 @@ class Program_weight_tensor_parameter_367: class Program_weight_tensor_parameter_368: name = "parameter_368" + original_name = "conv2d_33.w_0" shape = [128, 768, 1, 1] dtype = "float32" min_val = float("-0.210464") @@ -3971,6 +4340,7 @@ class Program_weight_tensor_parameter_368: class Program_weight_tensor_parameter_369: name = "parameter_369" + original_name = "batch_norm2d_28.b_0" shape = [128] dtype = "float32" min_val = float("-0.0634701") @@ -3982,6 +4352,7 @@ class Program_weight_tensor_parameter_369: class Program_weight_tensor_parameter_370: name = "parameter_370" + original_name = "batch_norm2d_28.w_0" shape = [128] dtype = "float32" min_val = float("0.0483199") @@ -3993,6 +4364,7 @@ class Program_weight_tensor_parameter_370: class Program_weight_tensor_parameter_371: name = "parameter_371" + original_name = "batch_norm2d_28.w_2" shape = [128] dtype = "float32" min_val = float("0.0425474") @@ -4004,6 +4376,7 @@ class Program_weight_tensor_parameter_371: class Program_weight_tensor_parameter_372: name = "parameter_372" + original_name = "batch_norm2d_28.w_1" shape = [128] dtype = "float32" min_val = float("-0.532804") @@ -4015,6 +4388,7 @@ class Program_weight_tensor_parameter_372: class Program_weight_tensor_parameter_373: name = "parameter_373" + original_name = "conv2d_32.w_0" shape = [128, 384, 1, 1] dtype = "float32" min_val = float("-0.168444") @@ -4026,6 +4400,7 @@ class Program_weight_tensor_parameter_373: class Program_weight_tensor_parameter_374: name = "parameter_374" + original_name = "batch_norm2d_27.b_0" shape = [128] dtype = "float32" min_val = float("-0.120262") @@ -4037,6 +4412,7 @@ class Program_weight_tensor_parameter_374: class Program_weight_tensor_parameter_375: name = "parameter_375" + original_name = "batch_norm2d_27.w_0" shape = [128] dtype = "float32" min_val = float("0.0448105") @@ -4048,6 +4424,7 @@ class Program_weight_tensor_parameter_375: class Program_weight_tensor_parameter_376: name = "parameter_376" + original_name = "batch_norm2d_27.w_2" shape = [128] dtype = "float32" min_val = float("0.0301731") @@ -4059,6 +4436,7 @@ class Program_weight_tensor_parameter_376: class Program_weight_tensor_parameter_377: name = "parameter_377" + original_name = "batch_norm2d_27.w_1" shape = [128] dtype = "float32" min_val = float("-0.720043") @@ -4070,6 +4448,7 @@ class Program_weight_tensor_parameter_377: class Program_weight_tensor_parameter_378: name = "parameter_378" + original_name = "conv2d_31.w_0" shape = [128, 192, 1, 1] dtype = "float32" min_val = float("-0.554542") @@ -4081,6 +4460,7 @@ class Program_weight_tensor_parameter_378: class Program_weight_tensor_parameter_379: name = "parameter_379" + original_name = "batch_norm2d_26.b_0" shape = [768] dtype = "float32" min_val = float("-5.13561") @@ -4092,6 +4472,7 @@ class Program_weight_tensor_parameter_379: class Program_weight_tensor_parameter_380: name = "parameter_380" + original_name = "batch_norm2d_26.w_0" shape = [768] dtype = "float32" min_val = float("1.95066") @@ -4103,6 +4484,7 @@ class Program_weight_tensor_parameter_380: class Program_weight_tensor_parameter_381: name = "parameter_381" + original_name = "batch_norm2d_26.w_2" shape = [768] dtype = "float32" min_val = float("0.0690177") @@ -4114,6 +4496,7 @@ class Program_weight_tensor_parameter_381: class Program_weight_tensor_parameter_382: name = "parameter_382" + original_name = "batch_norm2d_26.w_1" shape = [768] dtype = "float32" min_val = float("-0.651178") @@ -4125,6 +4508,7 @@ class Program_weight_tensor_parameter_382: class Program_weight_tensor_parameter_383: name = "parameter_383" + original_name = "conv2d_30.w_0" shape = [768, 768, 1, 1] dtype = "float32" min_val = float("-0.253387") @@ -4136,6 +4520,7 @@ class Program_weight_tensor_parameter_383: class Program_weight_tensor_parameter_384: name = "parameter_384" + original_name = "conv2d_29.b_0" shape = [768] dtype = "float32" min_val = float("-0.0918306") @@ -4147,6 +4532,7 @@ class Program_weight_tensor_parameter_384: class Program_weight_tensor_parameter_385: name = "parameter_385" + original_name = "conv2d_29.w_0" shape = [768, 192, 1, 1] dtype = "float32" min_val = float("-0.327356") @@ -4158,6 +4544,7 @@ class Program_weight_tensor_parameter_385: class Program_weight_tensor_parameter_386: name = "parameter_386" + original_name = "conv2d_28.b_0" shape = [192] dtype = "float32" min_val = float("-0.013977") @@ -4169,6 +4556,7 @@ class Program_weight_tensor_parameter_386: class Program_weight_tensor_parameter_387: name = "parameter_387" + original_name = "conv2d_28.w_0" shape = [192, 768, 1, 1] dtype = "float32" min_val = float("-0.312124") @@ -4180,6 +4568,7 @@ class Program_weight_tensor_parameter_387: class Program_weight_tensor_parameter_388: name = "parameter_388" + original_name = "batch_norm2d_25.b_0" shape = [768] dtype = "float32" min_val = float("-5.55245") @@ -4191,6 +4580,7 @@ class Program_weight_tensor_parameter_388: class Program_weight_tensor_parameter_389: name = "parameter_389" + original_name = "batch_norm2d_25.w_0" shape = [768] dtype = "float32" min_val = float("0.407266") @@ -4202,6 +4592,7 @@ class Program_weight_tensor_parameter_389: class Program_weight_tensor_parameter_390: name = "parameter_390" + original_name = "batch_norm2d_25.w_2" shape = [768] dtype = "float32" min_val = float("0.00013713") @@ -4213,6 +4604,7 @@ class Program_weight_tensor_parameter_390: class Program_weight_tensor_parameter_391: name = "parameter_391" + original_name = "batch_norm2d_25.w_1" shape = [768] dtype = "float32" min_val = float("-0.951064") @@ -4224,6 +4616,7 @@ class Program_weight_tensor_parameter_391: class Program_weight_tensor_parameter_392: name = "parameter_392" + original_name = "conv2d_27.w_0" shape = [768, 1, 5, 5] dtype = "float32" min_val = float("-0.524188") @@ -4235,6 +4628,7 @@ class Program_weight_tensor_parameter_392: class Program_weight_tensor_parameter_393: name = "parameter_393" + original_name = "batch_norm2d_24.b_0" shape = [768] dtype = "float32" min_val = float("-2.53083") @@ -4246,6 +4640,7 @@ class Program_weight_tensor_parameter_393: class Program_weight_tensor_parameter_394: name = "parameter_394" + original_name = "batch_norm2d_24.w_0" shape = [768] dtype = "float32" min_val = float("-1.30232") @@ -4257,6 +4652,7 @@ class Program_weight_tensor_parameter_394: class Program_weight_tensor_parameter_395: name = "parameter_395" + original_name = "batch_norm2d_24.w_2" shape = [768] dtype = "float32" min_val = float("0.0813818") @@ -4268,6 +4664,7 @@ class Program_weight_tensor_parameter_395: class Program_weight_tensor_parameter_396: name = "parameter_396" + original_name = "batch_norm2d_24.w_1" shape = [768] dtype = "float32" min_val = float("-1.14437") @@ -4279,6 +4676,7 @@ class Program_weight_tensor_parameter_396: class Program_weight_tensor_parameter_397: name = "parameter_397" + original_name = "conv2d_26.w_0" shape = [768, 384, 1, 1] dtype = "float32" min_val = float("-0.72743") @@ -4290,6 +4688,7 @@ class Program_weight_tensor_parameter_397: class Program_weight_tensor_parameter_398: name = "parameter_398" + original_name = "conv2d_25.b_0" shape = [384] dtype = "float32" min_val = float("-0.109989") @@ -4301,6 +4700,7 @@ class Program_weight_tensor_parameter_398: class Program_weight_tensor_parameter_399: name = "parameter_399" + original_name = "conv2d_25.w_0" shape = [384, 96, 1, 1] dtype = "float32" min_val = float("-0.305786") @@ -4312,6 +4712,7 @@ class Program_weight_tensor_parameter_399: class Program_weight_tensor_parameter_400: name = "parameter_400" + original_name = "conv2d_24.b_0" shape = [96] dtype = "float32" min_val = float("-0.00395807") @@ -4323,6 +4724,7 @@ class Program_weight_tensor_parameter_400: class Program_weight_tensor_parameter_401: name = "parameter_401" + original_name = "conv2d_24.w_0" shape = [96, 384, 1, 1] dtype = "float32" min_val = float("-0.311654") @@ -4334,6 +4736,7 @@ class Program_weight_tensor_parameter_401: class Program_weight_tensor_parameter_402: name = "parameter_402" + original_name = "batch_norm2d_23.b_0" shape = [384] dtype = "float32" min_val = float("-1.65104") @@ -4345,6 +4748,7 @@ class Program_weight_tensor_parameter_402: class Program_weight_tensor_parameter_403: name = "parameter_403" + original_name = "batch_norm2d_23.w_0" shape = [384] dtype = "float32" min_val = float("0.685313") @@ -4356,6 +4760,7 @@ class Program_weight_tensor_parameter_403: class Program_weight_tensor_parameter_404: name = "parameter_404" + original_name = "batch_norm2d_23.w_2" shape = [384] dtype = "float32" min_val = float("0.000181826") @@ -4367,6 +4772,7 @@ class Program_weight_tensor_parameter_404: class Program_weight_tensor_parameter_405: name = "parameter_405" + original_name = "batch_norm2d_23.w_1" shape = [384] dtype = "float32" min_val = float("-1.43704") @@ -4378,6 +4784,7 @@ class Program_weight_tensor_parameter_405: class Program_weight_tensor_parameter_406: name = "parameter_406" + original_name = "conv2d_23.w_0" shape = [384, 1, 5, 5] dtype = "float32" min_val = float("-0.242674") @@ -4389,6 +4796,7 @@ class Program_weight_tensor_parameter_406: class Program_weight_tensor_parameter_407: name = "parameter_407" + original_name = "batch_norm2d_22.b_0" shape = [384] dtype = "float32" min_val = float("-2.76083") @@ -4400,6 +4808,7 @@ class Program_weight_tensor_parameter_407: class Program_weight_tensor_parameter_408: name = "parameter_408" + original_name = "batch_norm2d_22.w_0" shape = [384] dtype = "float32" min_val = float("-0.965135") @@ -4411,6 +4820,7 @@ class Program_weight_tensor_parameter_408: class Program_weight_tensor_parameter_409: name = "parameter_409" + original_name = "batch_norm2d_22.w_2" shape = [384] dtype = "float32" min_val = float("0.542674") @@ -4422,6 +4832,7 @@ class Program_weight_tensor_parameter_409: class Program_weight_tensor_parameter_410: name = "parameter_410" + original_name = "batch_norm2d_22.w_1" shape = [384] dtype = "float32" min_val = float("-5.88851") @@ -4433,6 +4844,7 @@ class Program_weight_tensor_parameter_410: class Program_weight_tensor_parameter_411: name = "parameter_411" + original_name = "conv2d_22.w_0" shape = [384, 384, 1, 1] dtype = "float32" min_val = float("-0.873735") @@ -4444,6 +4856,7 @@ class Program_weight_tensor_parameter_411: class Program_weight_tensor_parameter_412: name = "parameter_412" + original_name = "batch_norm2d_21.b_0" shape = [384] dtype = "float32" min_val = float("-3.48933") @@ -4455,6 +4868,7 @@ class Program_weight_tensor_parameter_412: class Program_weight_tensor_parameter_413: name = "parameter_413" + original_name = "batch_norm2d_21.w_0" shape = [384] dtype = "float32" min_val = float("0.492313") @@ -4466,6 +4880,7 @@ class Program_weight_tensor_parameter_413: class Program_weight_tensor_parameter_414: name = "parameter_414" + original_name = "batch_norm2d_21.w_2" shape = [384] dtype = "float32" min_val = float("0.000326599") @@ -4477,6 +4892,7 @@ class Program_weight_tensor_parameter_414: class Program_weight_tensor_parameter_415: name = "parameter_415" + original_name = "batch_norm2d_21.w_1" shape = [384] dtype = "float32" min_val = float("-1.5994") @@ -4488,6 +4904,7 @@ class Program_weight_tensor_parameter_415: class Program_weight_tensor_parameter_416: name = "parameter_416" + original_name = "conv2d_21.w_0" shape = [384, 1, 5, 5] dtype = "float32" min_val = float("-0.669036") @@ -4499,6 +4916,7 @@ class Program_weight_tensor_parameter_416: class Program_weight_tensor_parameter_417: name = "parameter_417" + original_name = "batch_norm2d_20.b_0" shape = [384] dtype = "float32" min_val = float("-2.19367") @@ -4510,6 +4928,7 @@ class Program_weight_tensor_parameter_417: class Program_weight_tensor_parameter_418: name = "parameter_418" + original_name = "batch_norm2d_20.w_0" shape = [384] dtype = "float32" min_val = float("-0.223466") @@ -4521,6 +4940,7 @@ class Program_weight_tensor_parameter_418: class Program_weight_tensor_parameter_419: name = "parameter_419" + original_name = "batch_norm2d_20.w_2" shape = [384] dtype = "float32" min_val = float("0.478777") @@ -4532,6 +4952,7 @@ class Program_weight_tensor_parameter_419: class Program_weight_tensor_parameter_420: name = "parameter_420" + original_name = "batch_norm2d_20.w_1" shape = [384] dtype = "float32" min_val = float("-3.83182") @@ -4543,6 +4964,7 @@ class Program_weight_tensor_parameter_420: class Program_weight_tensor_parameter_421: name = "parameter_421" + original_name = "conv2d_20.w_0" shape = [384, 384, 1, 1] dtype = "float32" min_val = float("-0.456909") @@ -4554,6 +4976,7 @@ class Program_weight_tensor_parameter_421: class Program_weight_tensor_parameter_422: name = "parameter_422" + original_name = "batch_norm2d_19.b_0" shape = [384] dtype = "float32" min_val = float("-4.16418") @@ -4565,6 +4988,7 @@ class Program_weight_tensor_parameter_422: class Program_weight_tensor_parameter_423: name = "parameter_423" + original_name = "batch_norm2d_19.w_0" shape = [384] dtype = "float32" min_val = float("0.466019") @@ -4576,6 +5000,7 @@ class Program_weight_tensor_parameter_423: class Program_weight_tensor_parameter_424: name = "parameter_424" + original_name = "batch_norm2d_19.w_2" shape = [384] dtype = "float32" min_val = float("0.000229177") @@ -4587,6 +5012,7 @@ class Program_weight_tensor_parameter_424: class Program_weight_tensor_parameter_425: name = "parameter_425" + original_name = "batch_norm2d_19.w_1" shape = [384] dtype = "float32" min_val = float("-5.06425") @@ -4598,6 +5024,7 @@ class Program_weight_tensor_parameter_425: class Program_weight_tensor_parameter_426: name = "parameter_426" + original_name = "conv2d_19.w_0" shape = [384, 1, 5, 5] dtype = "float32" min_val = float("-0.735929") @@ -4609,6 +5036,7 @@ class Program_weight_tensor_parameter_426: class Program_weight_tensor_parameter_427: name = "parameter_427" + original_name = "batch_norm2d_18.b_0" shape = [384] dtype = "float32" min_val = float("-2.46526") @@ -4620,6 +5048,7 @@ class Program_weight_tensor_parameter_427: class Program_weight_tensor_parameter_428: name = "parameter_428" + original_name = "batch_norm2d_18.w_0" shape = [384] dtype = "float32" min_val = float("-0.415039") @@ -4631,6 +5060,7 @@ class Program_weight_tensor_parameter_428: class Program_weight_tensor_parameter_429: name = "parameter_429" + original_name = "batch_norm2d_18.w_2" shape = [384] dtype = "float32" min_val = float("0.326317") @@ -4642,6 +5072,7 @@ class Program_weight_tensor_parameter_429: class Program_weight_tensor_parameter_430: name = "parameter_430" + original_name = "batch_norm2d_18.w_1" shape = [384] dtype = "float32" min_val = float("-3.24703") @@ -4653,6 +5084,7 @@ class Program_weight_tensor_parameter_430: class Program_weight_tensor_parameter_431: name = "parameter_431" + original_name = "conv2d_18.w_0" shape = [384, 384, 1, 1] dtype = "float32" min_val = float("-0.635164") @@ -4664,6 +5096,7 @@ class Program_weight_tensor_parameter_431: class Program_weight_tensor_parameter_432: name = "parameter_432" + original_name = "batch_norm2d_17.b_0" shape = [384] dtype = "float32" min_val = float("-4.52697") @@ -4675,6 +5108,7 @@ class Program_weight_tensor_parameter_432: class Program_weight_tensor_parameter_433: name = "parameter_433" + original_name = "batch_norm2d_17.w_0" shape = [384] dtype = "float32" min_val = float("0.474749") @@ -4686,6 +5120,7 @@ class Program_weight_tensor_parameter_433: class Program_weight_tensor_parameter_434: name = "parameter_434" + original_name = "batch_norm2d_17.w_2" shape = [384] dtype = "float32" min_val = float("0.000205092") @@ -4697,6 +5132,7 @@ class Program_weight_tensor_parameter_434: class Program_weight_tensor_parameter_435: name = "parameter_435" + original_name = "batch_norm2d_17.w_1" shape = [384] dtype = "float32" min_val = float("-3.99655") @@ -4708,6 +5144,7 @@ class Program_weight_tensor_parameter_435: class Program_weight_tensor_parameter_436: name = "parameter_436" + original_name = "conv2d_17.w_0" shape = [384, 1, 5, 5] dtype = "float32" min_val = float("-0.621985") @@ -4719,6 +5156,7 @@ class Program_weight_tensor_parameter_436: class Program_weight_tensor_parameter_437: name = "parameter_437" + original_name = "batch_norm2d_16.b_0" shape = [384] dtype = "float32" min_val = float("-2.92299") @@ -4730,6 +5168,7 @@ class Program_weight_tensor_parameter_437: class Program_weight_tensor_parameter_438: name = "parameter_438" + original_name = "batch_norm2d_16.w_0" shape = [384] dtype = "float32" min_val = float("-0.0961144") @@ -4741,6 +5180,7 @@ class Program_weight_tensor_parameter_438: class Program_weight_tensor_parameter_439: name = "parameter_439" + original_name = "batch_norm2d_16.w_2" shape = [384] dtype = "float32" min_val = float("0.369175") @@ -4752,6 +5192,7 @@ class Program_weight_tensor_parameter_439: class Program_weight_tensor_parameter_440: name = "parameter_440" + original_name = "batch_norm2d_16.w_1" shape = [384] dtype = "float32" min_val = float("-4.31326") @@ -4763,6 +5204,7 @@ class Program_weight_tensor_parameter_440: class Program_weight_tensor_parameter_441: name = "parameter_441" + original_name = "conv2d_16.w_0" shape = [384, 384, 1, 1] dtype = "float32" min_val = float("-0.564105") @@ -4774,6 +5216,7 @@ class Program_weight_tensor_parameter_441: class Program_weight_tensor_parameter_442: name = "parameter_442" + original_name = "batch_norm2d_15.b_0" shape = [384] dtype = "float32" min_val = float("-2.74603") @@ -4785,6 +5228,7 @@ class Program_weight_tensor_parameter_442: class Program_weight_tensor_parameter_443: name = "parameter_443" + original_name = "batch_norm2d_15.w_0" shape = [384] dtype = "float32" min_val = float("0.475871") @@ -4796,6 +5240,7 @@ class Program_weight_tensor_parameter_443: class Program_weight_tensor_parameter_444: name = "parameter_444" + original_name = "batch_norm2d_15.w_2" shape = [384] dtype = "float32" min_val = float("0.000193793") @@ -4807,6 +5252,7 @@ class Program_weight_tensor_parameter_444: class Program_weight_tensor_parameter_445: name = "parameter_445" + original_name = "batch_norm2d_15.w_1" shape = [384] dtype = "float32" min_val = float("-4.40316") @@ -4818,6 +5264,7 @@ class Program_weight_tensor_parameter_445: class Program_weight_tensor_parameter_446: name = "parameter_446" + original_name = "conv2d_15.w_0" shape = [384, 1, 5, 5] dtype = "float32" min_val = float("-0.663219") @@ -4829,6 +5276,7 @@ class Program_weight_tensor_parameter_446: class Program_weight_tensor_parameter_447: name = "parameter_447" + original_name = "batch_norm2d_14.b_0" shape = [384] dtype = "float32" min_val = float("-3.23988") @@ -4840,6 +5288,7 @@ class Program_weight_tensor_parameter_447: class Program_weight_tensor_parameter_448: name = "parameter_448" + original_name = "batch_norm2d_14.w_0" shape = [384] dtype = "float32" min_val = float("-0.197722") @@ -4851,6 +5300,7 @@ class Program_weight_tensor_parameter_448: class Program_weight_tensor_parameter_449: name = "parameter_449" + original_name = "batch_norm2d_14.w_2" shape = [384] dtype = "float32" min_val = float("0.376202") @@ -4862,6 +5312,7 @@ class Program_weight_tensor_parameter_449: class Program_weight_tensor_parameter_450: name = "parameter_450" + original_name = "batch_norm2d_14.w_1" shape = [384] dtype = "float32" min_val = float("-3.28288") @@ -4873,6 +5324,7 @@ class Program_weight_tensor_parameter_450: class Program_weight_tensor_parameter_451: name = "parameter_451" + original_name = "conv2d_14.w_0" shape = [384, 384, 1, 1] dtype = "float32" min_val = float("-0.680346") @@ -4884,6 +5336,7 @@ class Program_weight_tensor_parameter_451: class Program_weight_tensor_parameter_452: name = "parameter_452" + original_name = "batch_norm2d_13.b_0" shape = [384] dtype = "float32" min_val = float("-4.65751") @@ -4895,6 +5348,7 @@ class Program_weight_tensor_parameter_452: class Program_weight_tensor_parameter_453: name = "parameter_453" + original_name = "batch_norm2d_13.w_0" shape = [384] dtype = "float32" min_val = float("0.46584") @@ -4906,6 +5360,7 @@ class Program_weight_tensor_parameter_453: class Program_weight_tensor_parameter_454: name = "parameter_454" + original_name = "batch_norm2d_13.w_2" shape = [384] dtype = "float32" min_val = float("0.000169244") @@ -4917,6 +5372,7 @@ class Program_weight_tensor_parameter_454: class Program_weight_tensor_parameter_455: name = "parameter_455" + original_name = "batch_norm2d_13.w_1" shape = [384] dtype = "float32" min_val = float("-4.67121") @@ -4928,6 +5384,7 @@ class Program_weight_tensor_parameter_455: class Program_weight_tensor_parameter_456: name = "parameter_456" + original_name = "conv2d_13.w_0" shape = [384, 1, 5, 5] dtype = "float32" min_val = float("-0.801552") @@ -4939,6 +5396,7 @@ class Program_weight_tensor_parameter_456: class Program_weight_tensor_parameter_457: name = "parameter_457" + original_name = "batch_norm2d_12.b_0" shape = [384] dtype = "float32" min_val = float("-2.36156") @@ -4950,6 +5408,7 @@ class Program_weight_tensor_parameter_457: class Program_weight_tensor_parameter_458: name = "parameter_458" + original_name = "batch_norm2d_12.w_0" shape = [384] dtype = "float32" min_val = float("-0.121955") @@ -4961,6 +5420,7 @@ class Program_weight_tensor_parameter_458: class Program_weight_tensor_parameter_459: name = "parameter_459" + original_name = "batch_norm2d_12.w_2" shape = [384] dtype = "float32" min_val = float("0.174903") @@ -4972,6 +5432,7 @@ class Program_weight_tensor_parameter_459: class Program_weight_tensor_parameter_460: name = "parameter_460" + original_name = "batch_norm2d_12.w_1" shape = [384] dtype = "float32" min_val = float("-6.05523") @@ -4983,6 +5444,7 @@ class Program_weight_tensor_parameter_460: class Program_weight_tensor_parameter_461: name = "parameter_461" + original_name = "conv2d_12.w_0" shape = [384, 192, 1, 1] dtype = "float32" min_val = float("-0.723385") @@ -4994,6 +5456,7 @@ class Program_weight_tensor_parameter_461: class Program_weight_tensor_parameter_462: name = "parameter_462" + original_name = "batch_norm2d_11.b_0" shape = [192] dtype = "float32" min_val = float("-4.38947") @@ -5005,6 +5468,7 @@ class Program_weight_tensor_parameter_462: class Program_weight_tensor_parameter_463: name = "parameter_463" + original_name = "batch_norm2d_11.w_0" shape = [192] dtype = "float32" min_val = float("0.376211") @@ -5016,6 +5480,7 @@ class Program_weight_tensor_parameter_463: class Program_weight_tensor_parameter_464: name = "parameter_464" + original_name = "batch_norm2d_11.w_2" shape = [192] dtype = "float32" min_val = float("0.000825027") @@ -5027,6 +5492,7 @@ class Program_weight_tensor_parameter_464: class Program_weight_tensor_parameter_465: name = "parameter_465" + original_name = "batch_norm2d_11.w_1" shape = [192] dtype = "float32" min_val = float("-1.82069") @@ -5038,6 +5504,7 @@ class Program_weight_tensor_parameter_465: class Program_weight_tensor_parameter_466: name = "parameter_466" + original_name = "conv2d_11.w_0" shape = [192, 1, 3, 3] dtype = "float32" min_val = float("-0.273891") @@ -5049,6 +5516,7 @@ class Program_weight_tensor_parameter_466: class Program_weight_tensor_parameter_467: name = "parameter_467" + original_name = "batch_norm2d_10.b_0" shape = [192] dtype = "float32" min_val = float("-2.4084") @@ -5060,6 +5528,7 @@ class Program_weight_tensor_parameter_467: class Program_weight_tensor_parameter_468: name = "parameter_468" + original_name = "batch_norm2d_10.w_0" shape = [192] dtype = "float32" min_val = float("0.213863") @@ -5071,6 +5540,7 @@ class Program_weight_tensor_parameter_468: class Program_weight_tensor_parameter_469: name = "parameter_469" + original_name = "batch_norm2d_10.w_2" shape = [192] dtype = "float32" min_val = float("0.449528") @@ -5082,6 +5552,7 @@ class Program_weight_tensor_parameter_469: class Program_weight_tensor_parameter_470: name = "parameter_470" + original_name = "batch_norm2d_10.w_1" shape = [192] dtype = "float32" min_val = float("-6.67535") @@ -5093,6 +5564,7 @@ class Program_weight_tensor_parameter_470: class Program_weight_tensor_parameter_471: name = "parameter_471" + original_name = "conv2d_10.w_0" shape = [192, 192, 1, 1] dtype = "float32" min_val = float("-0.689997") @@ -5104,6 +5576,7 @@ class Program_weight_tensor_parameter_471: class Program_weight_tensor_parameter_472: name = "parameter_472" + original_name = "batch_norm2d_9.b_0" shape = [192] dtype = "float32" min_val = float("-1.40563") @@ -5115,6 +5588,7 @@ class Program_weight_tensor_parameter_472: class Program_weight_tensor_parameter_473: name = "parameter_473" + original_name = "batch_norm2d_9.w_0" shape = [192] dtype = "float32" min_val = float("0.506077") @@ -5126,6 +5600,7 @@ class Program_weight_tensor_parameter_473: class Program_weight_tensor_parameter_474: name = "parameter_474" + original_name = "batch_norm2d_9.w_2" shape = [192] dtype = "float32" min_val = float("0.000114995") @@ -5137,6 +5612,7 @@ class Program_weight_tensor_parameter_474: class Program_weight_tensor_parameter_475: name = "parameter_475" + original_name = "batch_norm2d_9.w_1" shape = [192] dtype = "float32" min_val = float("-6.82445") @@ -5148,6 +5624,7 @@ class Program_weight_tensor_parameter_475: class Program_weight_tensor_parameter_476: name = "parameter_476" + original_name = "conv2d_9.w_0" shape = [192, 1, 3, 3] dtype = "float32" min_val = float("-0.968288") @@ -5159,6 +5636,7 @@ class Program_weight_tensor_parameter_476: class Program_weight_tensor_parameter_477: name = "parameter_477" + original_name = "batch_norm2d_8.b_0" shape = [192] dtype = "float32" min_val = float("-1.49872") @@ -5170,6 +5648,7 @@ class Program_weight_tensor_parameter_477: class Program_weight_tensor_parameter_478: name = "parameter_478" + original_name = "batch_norm2d_8.w_0" shape = [192] dtype = "float32" min_val = float("-1.09514") @@ -5181,6 +5660,7 @@ class Program_weight_tensor_parameter_478: class Program_weight_tensor_parameter_479: name = "parameter_479" + original_name = "batch_norm2d_8.w_2" shape = [192] dtype = "float32" min_val = float("0.188232") @@ -5192,6 +5672,7 @@ class Program_weight_tensor_parameter_479: class Program_weight_tensor_parameter_480: name = "parameter_480" + original_name = "batch_norm2d_8.w_1" shape = [192] dtype = "float32" min_val = float("-6.26824") @@ -5203,6 +5684,7 @@ class Program_weight_tensor_parameter_480: class Program_weight_tensor_parameter_481: name = "parameter_481" + original_name = "conv2d_8.w_0" shape = [192, 96, 1, 1] dtype = "float32" min_val = float("-1.05058") @@ -5214,6 +5696,7 @@ class Program_weight_tensor_parameter_481: class Program_weight_tensor_parameter_482: name = "parameter_482" + original_name = "batch_norm2d_7.b_0" shape = [96] dtype = "float32" min_val = float("-0.61244") @@ -5225,6 +5708,7 @@ class Program_weight_tensor_parameter_482: class Program_weight_tensor_parameter_483: name = "parameter_483" + original_name = "batch_norm2d_7.w_0" shape = [96] dtype = "float32" min_val = float("-0.648764") @@ -5236,6 +5720,7 @@ class Program_weight_tensor_parameter_483: class Program_weight_tensor_parameter_484: name = "parameter_484" + original_name = "batch_norm2d_7.w_2" shape = [96] dtype = "float32" min_val = float("0.000213704") @@ -5247,6 +5732,7 @@ class Program_weight_tensor_parameter_484: class Program_weight_tensor_parameter_485: name = "parameter_485" + original_name = "batch_norm2d_7.w_1" shape = [96] dtype = "float32" min_val = float("-4.04669") @@ -5258,6 +5744,7 @@ class Program_weight_tensor_parameter_485: class Program_weight_tensor_parameter_486: name = "parameter_486" + original_name = "conv2d_7.w_0" shape = [96, 1, 3, 3] dtype = "float32" min_val = float("-0.492791") @@ -5269,6 +5756,7 @@ class Program_weight_tensor_parameter_486: class Program_weight_tensor_parameter_487: name = "parameter_487" + original_name = "batch_norm2d_6.b_0" shape = [96] dtype = "float32" min_val = float("-3.06421") @@ -5280,6 +5768,7 @@ class Program_weight_tensor_parameter_487: class Program_weight_tensor_parameter_488: name = "parameter_488" + original_name = "batch_norm2d_6.w_0" shape = [96] dtype = "float32" min_val = float("-0.294473") @@ -5291,6 +5780,7 @@ class Program_weight_tensor_parameter_488: class Program_weight_tensor_parameter_489: name = "parameter_489" + original_name = "batch_norm2d_6.w_2" shape = [96] dtype = "float32" min_val = float("2.154") @@ -5302,6 +5792,7 @@ class Program_weight_tensor_parameter_489: class Program_weight_tensor_parameter_490: name = "parameter_490" + original_name = "batch_norm2d_6.w_1" shape = [96] dtype = "float32" min_val = float("-10.6735") @@ -5313,6 +5804,7 @@ class Program_weight_tensor_parameter_490: class Program_weight_tensor_parameter_491: name = "parameter_491" + original_name = "conv2d_6.w_0" shape = [96, 96, 1, 1] dtype = "float32" min_val = float("-0.814401") @@ -5324,6 +5816,7 @@ class Program_weight_tensor_parameter_491: class Program_weight_tensor_parameter_492: name = "parameter_492" + original_name = "batch_norm2d_5.b_0" shape = [96] dtype = "float32" min_val = float("-1.81003") @@ -5335,6 +5828,7 @@ class Program_weight_tensor_parameter_492: class Program_weight_tensor_parameter_493: name = "parameter_493" + original_name = "batch_norm2d_5.w_0" shape = [96] dtype = "float32" min_val = float("1.19183") @@ -5346,6 +5840,7 @@ class Program_weight_tensor_parameter_493: class Program_weight_tensor_parameter_494: name = "parameter_494" + original_name = "batch_norm2d_5.w_2" shape = [96] dtype = "float32" min_val = float("0.00024778") @@ -5357,6 +5852,7 @@ class Program_weight_tensor_parameter_494: class Program_weight_tensor_parameter_495: name = "parameter_495" + original_name = "batch_norm2d_5.w_1" shape = [96] dtype = "float32" min_val = float("-4.24423") @@ -5368,6 +5864,7 @@ class Program_weight_tensor_parameter_495: class Program_weight_tensor_parameter_496: name = "parameter_496" + original_name = "conv2d_5.w_0" shape = [96, 1, 3, 3] dtype = "float32" min_val = float("-1.10028") @@ -5379,6 +5876,7 @@ class Program_weight_tensor_parameter_496: class Program_weight_tensor_parameter_497: name = "parameter_497" + original_name = "batch_norm2d_4.b_0" shape = [96] dtype = "float32" min_val = float("-3.62766") @@ -5390,6 +5888,7 @@ class Program_weight_tensor_parameter_497: class Program_weight_tensor_parameter_498: name = "parameter_498" + original_name = "batch_norm2d_4.w_0" shape = [96] dtype = "float32" min_val = float("-1.37036") @@ -5401,6 +5900,7 @@ class Program_weight_tensor_parameter_498: class Program_weight_tensor_parameter_499: name = "parameter_499" + original_name = "batch_norm2d_4.w_2" shape = [96] dtype = "float32" min_val = float("1.93604") @@ -5412,6 +5912,7 @@ class Program_weight_tensor_parameter_499: class Program_weight_tensor_parameter_500: name = "parameter_500" + original_name = "batch_norm2d_4.w_1" shape = [96] dtype = "float32" min_val = float("-11.6782") @@ -5423,6 +5924,7 @@ class Program_weight_tensor_parameter_500: class Program_weight_tensor_parameter_501: name = "parameter_501" + original_name = "conv2d_4.w_0" shape = [96, 48, 1, 1] dtype = "float32" min_val = float("-1.19086") @@ -5434,6 +5936,7 @@ class Program_weight_tensor_parameter_501: class Program_weight_tensor_parameter_502: name = "parameter_502" + original_name = "batch_norm2d_3.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -5443,6 +5946,7 @@ class Program_weight_tensor_parameter_502: class Program_weight_tensor_parameter_503: name = "parameter_503" + original_name = "batch_norm2d_3.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -5452,6 +5956,7 @@ class Program_weight_tensor_parameter_503: class Program_weight_tensor_parameter_504: name = "parameter_504" + original_name = "batch_norm2d_3.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -5461,6 +5966,7 @@ class Program_weight_tensor_parameter_504: class Program_weight_tensor_parameter_505: name = "parameter_505" + original_name = "batch_norm2d_3.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -5470,6 +5976,7 @@ class Program_weight_tensor_parameter_505: class Program_weight_tensor_parameter_506: name = "parameter_506" + original_name = "conv2d_3.w_0" shape = [48, 1, 3, 3] dtype = "float32" min_val = float("-1.38528") @@ -5481,6 +5988,7 @@ class Program_weight_tensor_parameter_506: class Program_weight_tensor_parameter_507: name = "parameter_507" + original_name = "batch_norm2d_2.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -5490,6 +5998,7 @@ class Program_weight_tensor_parameter_507: class Program_weight_tensor_parameter_508: name = "parameter_508" + original_name = "batch_norm2d_2.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -5499,6 +6008,7 @@ class Program_weight_tensor_parameter_508: class Program_weight_tensor_parameter_509: name = "parameter_509" + original_name = "batch_norm2d_2.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -5508,6 +6018,7 @@ class Program_weight_tensor_parameter_509: class Program_weight_tensor_parameter_510: name = "parameter_510" + original_name = "batch_norm2d_2.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -5517,6 +6028,7 @@ class Program_weight_tensor_parameter_510: class Program_weight_tensor_parameter_511: name = "parameter_511" + original_name = "conv2d_2.w_0" shape = [48, 24, 1, 1] dtype = "float32" min_val = float("-1.06142") @@ -5528,6 +6040,7 @@ class Program_weight_tensor_parameter_511: class Program_weight_tensor_parameter_512: name = "parameter_512" + original_name = "batch_norm2d_1.b_0" shape = [24] dtype = "float32" min_val = float("0") @@ -5537,6 +6050,7 @@ class Program_weight_tensor_parameter_512: class Program_weight_tensor_parameter_513: name = "parameter_513" + original_name = "batch_norm2d_1.w_0" shape = [24] dtype = "float32" min_val = float("0") @@ -5546,6 +6060,7 @@ class Program_weight_tensor_parameter_513: class Program_weight_tensor_parameter_514: name = "parameter_514" + original_name = "batch_norm2d_1.w_2" shape = [24] dtype = "float32" min_val = float("0") @@ -5555,6 +6070,7 @@ class Program_weight_tensor_parameter_514: class Program_weight_tensor_parameter_515: name = "parameter_515" + original_name = "batch_norm2d_1.w_1" shape = [24] dtype = "float32" min_val = float("0") @@ -5564,6 +6080,7 @@ class Program_weight_tensor_parameter_515: class Program_weight_tensor_parameter_516: name = "parameter_516" + original_name = "conv2d_1.w_0" shape = [24, 1, 3, 3] dtype = "float32" min_val = float("-1.27735") @@ -5575,6 +6092,7 @@ class Program_weight_tensor_parameter_516: class Program_weight_tensor_parameter_517: name = "parameter_517" + original_name = "batch_norm2d_0.b_0" shape = [24] dtype = "float32" min_val = float("0") @@ -5584,6 +6102,7 @@ class Program_weight_tensor_parameter_517: class Program_weight_tensor_parameter_518: name = "parameter_518" + original_name = "batch_norm2d_0.w_0" shape = [24] dtype = "float32" min_val = float("0") @@ -5593,6 +6112,7 @@ class Program_weight_tensor_parameter_518: class Program_weight_tensor_parameter_519: name = "parameter_519" + original_name = "batch_norm2d_0.w_2" shape = [24] dtype = "float32" min_val = float("0") @@ -5602,6 +6122,7 @@ class Program_weight_tensor_parameter_519: class Program_weight_tensor_parameter_520: name = "parameter_520" + original_name = "batch_norm2d_0.w_1" shape = [24] dtype = "float32" min_val = float("0") @@ -5611,6 +6132,7 @@ class Program_weight_tensor_parameter_520: class Program_weight_tensor_parameter_521: name = "parameter_521" + original_name = "conv2d_0.w_0" shape = [24, 3, 3, 3] dtype = "float32" min_val = float("-0.791344") diff --git a/paddle_samples/PaddleX/PicoDet-M/subgraph_13/input_meta.py b/paddle_samples/PaddleX/PicoDet-M/subgraph_13/input_meta.py index 31747ef07..be5f2789d 100644 --- a/paddle_samples/PaddleX/PicoDet-M/subgraph_13/input_meta.py +++ b/paddle_samples/PaddleX/PicoDet-M/subgraph_13/input_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_data_0: name = "data_0" + original_name = "var_658" shape = [4, 3, 480, 480] dtype = "float32" min_val = float("-2.09515") @@ -11,6 +12,7 @@ class Program_weight_tensor_data_0: class Program_weight_tensor_data_1: name = "data_1" + original_name = "var_907" shape = [8] dtype = "float32" data = [0.0, 1.0, 2.0, 3.0003, 4.0, 5.0, 6.0006, 7.0] diff --git a/paddle_samples/PaddleX/PicoDet-M/subgraph_13/weight_meta.py b/paddle_samples/PaddleX/PicoDet-M/subgraph_13/weight_meta.py index ae37bc7a9..27b727994 100644 --- a/paddle_samples/PaddleX/PicoDet-M/subgraph_13/weight_meta.py +++ b/paddle_samples/PaddleX/PicoDet-M/subgraph_13/weight_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_parameter_0: name = "parameter_0" + original_name = "batch_norm2d_97.b_0" shape = [1] dtype = "float32" min_val = float("0") @@ -9,6 +10,7 @@ class Program_weight_tensor_parameter_0: class Program_weight_tensor_parameter_1: name = "parameter_1" + original_name = "batch_norm2d_97.w_0" shape = [1] dtype = "float32" min_val = float("0") @@ -18,6 +20,7 @@ class Program_weight_tensor_parameter_1: class Program_weight_tensor_parameter_2: name = "parameter_2" + original_name = "batch_norm2d_97.w_2" shape = [1] dtype = "float32" min_val = float("0") @@ -27,6 +30,7 @@ class Program_weight_tensor_parameter_2: class Program_weight_tensor_parameter_3: name = "parameter_3" + original_name = "batch_norm2d_97.w_1" shape = [1] dtype = "float32" min_val = float("0") @@ -36,6 +40,7 @@ class Program_weight_tensor_parameter_3: class Program_weight_tensor_parameter_4: name = "parameter_4" + original_name = "conv2d_115.w_0" shape = [1, 1, 1, 1] dtype = "float32" min_val = float("0") @@ -45,6 +50,7 @@ class Program_weight_tensor_parameter_4: class Program_weight_tensor_parameter_5: name = "parameter_5" + original_name = "batch_norm2d_96.b_0" shape = [1] dtype = "float32" min_val = float("0") @@ -54,6 +60,7 @@ class Program_weight_tensor_parameter_5: class Program_weight_tensor_parameter_6: name = "parameter_6" + original_name = "batch_norm2d_96.w_0" shape = [1] dtype = "float32" min_val = float("0") @@ -63,6 +70,7 @@ class Program_weight_tensor_parameter_6: class Program_weight_tensor_parameter_7: name = "parameter_7" + original_name = "batch_norm2d_96.w_2" shape = [1] dtype = "float32" min_val = float("0") @@ -72,6 +80,7 @@ class Program_weight_tensor_parameter_7: class Program_weight_tensor_parameter_8: name = "parameter_8" + original_name = "batch_norm2d_96.w_1" shape = [1] dtype = "float32" min_val = float("0") @@ -81,6 +90,7 @@ class Program_weight_tensor_parameter_8: class Program_weight_tensor_parameter_9: name = "parameter_9" + original_name = "conv2d_114.w_0" shape = [1, 128, 5, 5] dtype = "float32" min_val = float("-0.29957") @@ -92,6 +102,7 @@ class Program_weight_tensor_parameter_9: class Program_weight_tensor_parameter_10: name = "parameter_10" + original_name = "conv2d_113.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -101,6 +112,7 @@ class Program_weight_tensor_parameter_10: class Program_weight_tensor_parameter_11: name = "parameter_11" + original_name = "conv2d_113.w_0" shape = [32, 128, 1, 1] dtype = "float32" min_val = float("-0.454145") @@ -112,6 +124,7 @@ class Program_weight_tensor_parameter_11: class Program_weight_tensor_parameter_12: name = "parameter_12" + original_name = "conv2d_112.b_0" shape = [4] dtype = "float32" min_val = float("0") @@ -121,6 +134,7 @@ class Program_weight_tensor_parameter_12: class Program_weight_tensor_parameter_13: name = "parameter_13" + original_name = "conv2d_112.w_0" shape = [4, 128, 1, 1] dtype = "float32" min_val = float("-0.0293174") @@ -132,6 +146,7 @@ class Program_weight_tensor_parameter_13: class Program_weight_tensor_parameter_14: name = "parameter_14" + original_name = "batch_norm2d_89.b_0" shape = [128] dtype = "float32" min_val = float("0.00436834") @@ -143,6 +158,7 @@ class Program_weight_tensor_parameter_14: class Program_weight_tensor_parameter_15: name = "parameter_15" + original_name = "batch_norm2d_89.w_0" shape = [128] dtype = "float32" min_val = float("0.848057") @@ -154,6 +170,7 @@ class Program_weight_tensor_parameter_15: class Program_weight_tensor_parameter_16: name = "parameter_16" + original_name = "batch_norm2d_89.w_2" shape = [128] dtype = "float32" min_val = float("0.00620491") @@ -165,6 +182,7 @@ class Program_weight_tensor_parameter_16: class Program_weight_tensor_parameter_17: name = "parameter_17" + original_name = "batch_norm2d_89.w_1" shape = [128] dtype = "float32" min_val = float("-0.162688") @@ -176,6 +194,7 @@ class Program_weight_tensor_parameter_17: class Program_weight_tensor_parameter_18: name = "parameter_18" + original_name = "conv2d_97.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.239996") @@ -187,6 +206,7 @@ class Program_weight_tensor_parameter_18: class Program_weight_tensor_parameter_19: name = "parameter_19" + original_name = "conv2d_96.b_0" shape = [128] dtype = "float32" min_val = float("-0.0513742") @@ -198,6 +218,7 @@ class Program_weight_tensor_parameter_19: class Program_weight_tensor_parameter_20: name = "parameter_20" + original_name = "conv2d_96.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.105123") @@ -209,6 +230,7 @@ class Program_weight_tensor_parameter_20: class Program_weight_tensor_parameter_21: name = "parameter_21" + original_name = "batch_norm2d_88.b_0" shape = [128] dtype = "float32" min_val = float("-1.29575") @@ -220,6 +242,7 @@ class Program_weight_tensor_parameter_21: class Program_weight_tensor_parameter_22: name = "parameter_22" + original_name = "batch_norm2d_88.w_0" shape = [128] dtype = "float32" min_val = float("0.738786") @@ -231,6 +254,7 @@ class Program_weight_tensor_parameter_22: class Program_weight_tensor_parameter_23: name = "parameter_23" + original_name = "batch_norm2d_88.w_2" shape = [128] dtype = "float32" min_val = float("0.025205") @@ -242,6 +266,7 @@ class Program_weight_tensor_parameter_23: class Program_weight_tensor_parameter_24: name = "parameter_24" + original_name = "batch_norm2d_88.w_1" shape = [128] dtype = "float32" min_val = float("-0.526073") @@ -253,6 +278,7 @@ class Program_weight_tensor_parameter_24: class Program_weight_tensor_parameter_25: name = "parameter_25" + original_name = "conv2d_95.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.312924") @@ -264,6 +290,7 @@ class Program_weight_tensor_parameter_25: class Program_weight_tensor_parameter_26: name = "parameter_26" + original_name = "batch_norm2d_87.b_0" shape = [128] dtype = "float32" min_val = float("-1.12697") @@ -275,6 +302,7 @@ class Program_weight_tensor_parameter_26: class Program_weight_tensor_parameter_27: name = "parameter_27" + original_name = "batch_norm2d_87.w_0" shape = [128] dtype = "float32" min_val = float("0.449744") @@ -286,6 +314,7 @@ class Program_weight_tensor_parameter_27: class Program_weight_tensor_parameter_28: name = "parameter_28" + original_name = "batch_norm2d_87.w_2" shape = [128] dtype = "float32" min_val = float("0.0017443") @@ -297,6 +326,7 @@ class Program_weight_tensor_parameter_28: class Program_weight_tensor_parameter_29: name = "parameter_29" + original_name = "batch_norm2d_87.w_1" shape = [128] dtype = "float32" min_val = float("-0.259559") @@ -308,6 +338,7 @@ class Program_weight_tensor_parameter_29: class Program_weight_tensor_parameter_30: name = "parameter_30" + original_name = "conv2d_94.w_0" shape = [128, 1, 5, 5] dtype = "float32" min_val = float("-0.229629") @@ -319,6 +350,7 @@ class Program_weight_tensor_parameter_30: class Program_weight_tensor_parameter_31: name = "parameter_31" + original_name = "batch_norm2d_86.b_0" shape = [128] dtype = "float32" min_val = float("-0.802679") @@ -330,6 +362,7 @@ class Program_weight_tensor_parameter_31: class Program_weight_tensor_parameter_32: name = "parameter_32" + original_name = "batch_norm2d_86.w_0" shape = [128] dtype = "float32" min_val = float("0.405641") @@ -341,6 +374,7 @@ class Program_weight_tensor_parameter_32: class Program_weight_tensor_parameter_33: name = "parameter_33" + original_name = "batch_norm2d_86.w_2" shape = [128] dtype = "float32" min_val = float("0.0362595") @@ -352,6 +386,7 @@ class Program_weight_tensor_parameter_33: class Program_weight_tensor_parameter_34: name = "parameter_34" + original_name = "batch_norm2d_86.w_1" shape = [128] dtype = "float32" min_val = float("-0.485018") @@ -363,6 +398,7 @@ class Program_weight_tensor_parameter_34: class Program_weight_tensor_parameter_35: name = "parameter_35" + original_name = "conv2d_93.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.284462") @@ -374,6 +410,7 @@ class Program_weight_tensor_parameter_35: class Program_weight_tensor_parameter_36: name = "parameter_36" + original_name = "batch_norm2d_85.b_0" shape = [128] dtype = "float32" min_val = float("-0.545573") @@ -385,6 +422,7 @@ class Program_weight_tensor_parameter_36: class Program_weight_tensor_parameter_37: name = "parameter_37" + original_name = "batch_norm2d_85.w_0" shape = [128] dtype = "float32" min_val = float("0.579824") @@ -396,6 +434,7 @@ class Program_weight_tensor_parameter_37: class Program_weight_tensor_parameter_38: name = "parameter_38" + original_name = "batch_norm2d_85.w_2" shape = [128] dtype = "float32" min_val = float("0.00284824") @@ -407,6 +446,7 @@ class Program_weight_tensor_parameter_38: class Program_weight_tensor_parameter_39: name = "parameter_39" + original_name = "batch_norm2d_85.w_1" shape = [128] dtype = "float32" min_val = float("-0.286476") @@ -418,6 +458,7 @@ class Program_weight_tensor_parameter_39: class Program_weight_tensor_parameter_40: name = "parameter_40" + original_name = "conv2d_92.w_0" shape = [128, 1, 5, 5] dtype = "float32" min_val = float("-0.175353") @@ -429,6 +470,7 @@ class Program_weight_tensor_parameter_40: class Program_weight_tensor_parameter_41: name = "parameter_41" + original_name = "batch_norm2d_84.b_0" shape = [128] dtype = "float32" min_val = float("-0.370593") @@ -440,6 +482,7 @@ class Program_weight_tensor_parameter_41: class Program_weight_tensor_parameter_42: name = "parameter_42" + original_name = "batch_norm2d_84.w_0" shape = [128] dtype = "float32" min_val = float("0.291239") @@ -451,6 +494,7 @@ class Program_weight_tensor_parameter_42: class Program_weight_tensor_parameter_43: name = "parameter_43" + original_name = "batch_norm2d_84.w_2" shape = [128] dtype = "float32" min_val = float("0.035065") @@ -462,6 +506,7 @@ class Program_weight_tensor_parameter_43: class Program_weight_tensor_parameter_44: name = "parameter_44" + original_name = "batch_norm2d_84.w_1" shape = [128] dtype = "float32" min_val = float("-0.464825") @@ -473,6 +518,7 @@ class Program_weight_tensor_parameter_44: class Program_weight_tensor_parameter_45: name = "parameter_45" + original_name = "conv2d_91.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.239295") @@ -484,6 +530,7 @@ class Program_weight_tensor_parameter_45: class Program_weight_tensor_parameter_46: name = "parameter_46" + original_name = "batch_norm2d_83.b_0" shape = [128] dtype = "float32" min_val = float("-0.675736") @@ -495,6 +542,7 @@ class Program_weight_tensor_parameter_46: class Program_weight_tensor_parameter_47: name = "parameter_47" + original_name = "batch_norm2d_83.w_0" shape = [128] dtype = "float32" min_val = float("0.647312") @@ -506,6 +554,7 @@ class Program_weight_tensor_parameter_47: class Program_weight_tensor_parameter_48: name = "parameter_48" + original_name = "batch_norm2d_83.w_2" shape = [128] dtype = "float32" min_val = float("0.00125696") @@ -517,6 +566,7 @@ class Program_weight_tensor_parameter_48: class Program_weight_tensor_parameter_49: name = "parameter_49" + original_name = "batch_norm2d_83.w_1" shape = [128] dtype = "float32" min_val = float("-0.21336") @@ -528,6 +578,7 @@ class Program_weight_tensor_parameter_49: class Program_weight_tensor_parameter_50: name = "parameter_50" + original_name = "conv2d_90.w_0" shape = [128, 1, 5, 5] dtype = "float32" min_val = float("-0.225854") @@ -539,6 +590,7 @@ class Program_weight_tensor_parameter_50: class Program_weight_tensor_parameter_51: name = "parameter_51" + original_name = "batch_norm2d_82.b_0" shape = [128] dtype = "float32" min_val = float("-0.741283") @@ -550,6 +602,7 @@ class Program_weight_tensor_parameter_51: class Program_weight_tensor_parameter_52: name = "parameter_52" + original_name = "batch_norm2d_82.w_0" shape = [128] dtype = "float32" min_val = float("0.259452") @@ -561,6 +614,7 @@ class Program_weight_tensor_parameter_52: class Program_weight_tensor_parameter_53: name = "parameter_53" + original_name = "batch_norm2d_82.w_2" shape = [128] dtype = "float32" min_val = float("0.0504553") @@ -572,6 +626,7 @@ class Program_weight_tensor_parameter_53: class Program_weight_tensor_parameter_54: name = "parameter_54" + original_name = "batch_norm2d_82.w_1" shape = [128] dtype = "float32" min_val = float("-0.254248") @@ -583,6 +638,7 @@ class Program_weight_tensor_parameter_54: class Program_weight_tensor_parameter_55: name = "parameter_55" + original_name = "conv2d_89.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.302531") @@ -594,6 +650,7 @@ class Program_weight_tensor_parameter_55: class Program_weight_tensor_parameter_56: name = "parameter_56" + original_name = "batch_norm2d_81.b_0" shape = [128] dtype = "float32" min_val = float("-0.449391") @@ -605,6 +662,7 @@ class Program_weight_tensor_parameter_56: class Program_weight_tensor_parameter_57: name = "parameter_57" + original_name = "batch_norm2d_81.w_0" shape = [128] dtype = "float32" min_val = float("0.926733") @@ -616,6 +674,7 @@ class Program_weight_tensor_parameter_57: class Program_weight_tensor_parameter_58: name = "parameter_58" + original_name = "batch_norm2d_81.w_2" shape = [128] dtype = "float32" min_val = float("0.00014557") @@ -627,6 +686,7 @@ class Program_weight_tensor_parameter_58: class Program_weight_tensor_parameter_59: name = "parameter_59" + original_name = "batch_norm2d_81.w_1" shape = [128] dtype = "float32" min_val = float("-0.0620925") @@ -638,6 +698,7 @@ class Program_weight_tensor_parameter_59: class Program_weight_tensor_parameter_60: name = "parameter_60" + original_name = "conv2d_88.w_0" shape = [128, 1, 5, 5] dtype = "float32" min_val = float("-0.261723") @@ -649,6 +710,7 @@ class Program_weight_tensor_parameter_60: class Program_weight_tensor_parameter_61: name = "parameter_61" + original_name = "batch_norm2d_95.b_0" shape = [1] dtype = "float32" min_val = float("0") @@ -658,6 +720,7 @@ class Program_weight_tensor_parameter_61: class Program_weight_tensor_parameter_62: name = "parameter_62" + original_name = "batch_norm2d_95.w_0" shape = [1] dtype = "float32" min_val = float("0") @@ -667,6 +730,7 @@ class Program_weight_tensor_parameter_62: class Program_weight_tensor_parameter_63: name = "parameter_63" + original_name = "batch_norm2d_95.w_2" shape = [1] dtype = "float32" min_val = float("0") @@ -676,6 +740,7 @@ class Program_weight_tensor_parameter_63: class Program_weight_tensor_parameter_64: name = "parameter_64" + original_name = "batch_norm2d_95.w_1" shape = [1] dtype = "float32" min_val = float("0") @@ -685,6 +750,7 @@ class Program_weight_tensor_parameter_64: class Program_weight_tensor_parameter_65: name = "parameter_65" + original_name = "conv2d_111.w_0" shape = [1, 1, 1, 1] dtype = "float32" min_val = float("0") @@ -694,6 +760,7 @@ class Program_weight_tensor_parameter_65: class Program_weight_tensor_parameter_66: name = "parameter_66" + original_name = "batch_norm2d_94.b_0" shape = [1] dtype = "float32" min_val = float("0") @@ -703,6 +770,7 @@ class Program_weight_tensor_parameter_66: class Program_weight_tensor_parameter_67: name = "parameter_67" + original_name = "batch_norm2d_94.w_0" shape = [1] dtype = "float32" min_val = float("0") @@ -712,6 +780,7 @@ class Program_weight_tensor_parameter_67: class Program_weight_tensor_parameter_68: name = "parameter_68" + original_name = "batch_norm2d_94.w_2" shape = [1] dtype = "float32" min_val = float("0") @@ -721,6 +790,7 @@ class Program_weight_tensor_parameter_68: class Program_weight_tensor_parameter_69: name = "parameter_69" + original_name = "batch_norm2d_94.w_1" shape = [1] dtype = "float32" min_val = float("0") @@ -730,6 +800,7 @@ class Program_weight_tensor_parameter_69: class Program_weight_tensor_parameter_70: name = "parameter_70" + original_name = "conv2d_110.w_0" shape = [1, 128, 5, 5] dtype = "float32" min_val = float("-0.363149") @@ -741,6 +812,7 @@ class Program_weight_tensor_parameter_70: class Program_weight_tensor_parameter_71: name = "parameter_71" + original_name = "conv2d_109.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -750,6 +822,7 @@ class Program_weight_tensor_parameter_71: class Program_weight_tensor_parameter_72: name = "parameter_72" + original_name = "conv2d_109.w_0" shape = [32, 128, 1, 1] dtype = "float32" min_val = float("-0.467737") @@ -761,6 +834,7 @@ class Program_weight_tensor_parameter_72: class Program_weight_tensor_parameter_73: name = "parameter_73" + original_name = "conv2d_108.b_0" shape = [4] dtype = "float32" min_val = float("0") @@ -770,6 +844,7 @@ class Program_weight_tensor_parameter_73: class Program_weight_tensor_parameter_74: name = "parameter_74" + original_name = "conv2d_108.w_0" shape = [4, 128, 1, 1] dtype = "float32" min_val = float("-0.0296727") @@ -781,6 +856,7 @@ class Program_weight_tensor_parameter_74: class Program_weight_tensor_parameter_75: name = "parameter_75" + original_name = "batch_norm2d_80.b_0" shape = [128] dtype = "float32" min_val = float("-0.0599833") @@ -792,6 +868,7 @@ class Program_weight_tensor_parameter_75: class Program_weight_tensor_parameter_76: name = "parameter_76" + original_name = "batch_norm2d_80.w_0" shape = [128] dtype = "float32" min_val = float("0.599343") @@ -803,6 +880,7 @@ class Program_weight_tensor_parameter_76: class Program_weight_tensor_parameter_77: name = "parameter_77" + original_name = "batch_norm2d_80.w_2" shape = [128] dtype = "float32" min_val = float("0.00766621") @@ -814,6 +892,7 @@ class Program_weight_tensor_parameter_77: class Program_weight_tensor_parameter_78: name = "parameter_78" + original_name = "batch_norm2d_80.w_1" shape = [128] dtype = "float32" min_val = float("-0.342413") @@ -825,6 +904,7 @@ class Program_weight_tensor_parameter_78: class Program_weight_tensor_parameter_79: name = "parameter_79" + original_name = "conv2d_87.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.436356") @@ -836,6 +916,7 @@ class Program_weight_tensor_parameter_79: class Program_weight_tensor_parameter_80: name = "parameter_80" + original_name = "conv2d_86.b_0" shape = [128] dtype = "float32" min_val = float("-0.0486745") @@ -847,6 +928,7 @@ class Program_weight_tensor_parameter_80: class Program_weight_tensor_parameter_81: name = "parameter_81" + original_name = "conv2d_86.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.158288") @@ -858,6 +940,7 @@ class Program_weight_tensor_parameter_81: class Program_weight_tensor_parameter_82: name = "parameter_82" + original_name = "batch_norm2d_79.b_0" shape = [128] dtype = "float32" min_val = float("-1.29968") @@ -869,6 +952,7 @@ class Program_weight_tensor_parameter_82: class Program_weight_tensor_parameter_83: name = "parameter_83" + original_name = "batch_norm2d_79.w_0" shape = [128] dtype = "float32" min_val = float("0.439816") @@ -880,6 +964,7 @@ class Program_weight_tensor_parameter_83: class Program_weight_tensor_parameter_84: name = "parameter_84" + original_name = "batch_norm2d_79.w_2" shape = [128] dtype = "float32" min_val = float("0.0360969") @@ -891,6 +976,7 @@ class Program_weight_tensor_parameter_84: class Program_weight_tensor_parameter_85: name = "parameter_85" + original_name = "batch_norm2d_79.w_1" shape = [128] dtype = "float32" min_val = float("-1.43005") @@ -902,6 +988,7 @@ class Program_weight_tensor_parameter_85: class Program_weight_tensor_parameter_86: name = "parameter_86" + original_name = "conv2d_85.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.406601") @@ -913,6 +1000,7 @@ class Program_weight_tensor_parameter_86: class Program_weight_tensor_parameter_87: name = "parameter_87" + original_name = "batch_norm2d_78.b_0" shape = [128] dtype = "float32" min_val = float("-1.24859") @@ -924,6 +1012,7 @@ class Program_weight_tensor_parameter_87: class Program_weight_tensor_parameter_88: name = "parameter_88" + original_name = "batch_norm2d_78.w_0" shape = [128] dtype = "float32" min_val = float("0.461882") @@ -935,6 +1024,7 @@ class Program_weight_tensor_parameter_88: class Program_weight_tensor_parameter_89: name = "parameter_89" + original_name = "batch_norm2d_78.w_2" shape = [128] dtype = "float32" min_val = float("0.000826609") @@ -946,6 +1036,7 @@ class Program_weight_tensor_parameter_89: class Program_weight_tensor_parameter_90: name = "parameter_90" + original_name = "batch_norm2d_78.w_1" shape = [128] dtype = "float32" min_val = float("-0.302339") @@ -957,6 +1048,7 @@ class Program_weight_tensor_parameter_90: class Program_weight_tensor_parameter_91: name = "parameter_91" + original_name = "conv2d_84.w_0" shape = [128, 1, 5, 5] dtype = "float32" min_val = float("-0.365547") @@ -968,6 +1060,7 @@ class Program_weight_tensor_parameter_91: class Program_weight_tensor_parameter_92: name = "parameter_92" + original_name = "batch_norm2d_77.b_0" shape = [128] dtype = "float32" min_val = float("-0.865864") @@ -979,6 +1072,7 @@ class Program_weight_tensor_parameter_92: class Program_weight_tensor_parameter_93: name = "parameter_93" + original_name = "batch_norm2d_77.w_0" shape = [128] dtype = "float32" min_val = float("0.198408") @@ -990,6 +1084,7 @@ class Program_weight_tensor_parameter_93: class Program_weight_tensor_parameter_94: name = "parameter_94" + original_name = "batch_norm2d_77.w_2" shape = [128] dtype = "float32" min_val = float("0.0378139") @@ -1001,6 +1096,7 @@ class Program_weight_tensor_parameter_94: class Program_weight_tensor_parameter_95: name = "parameter_95" + original_name = "batch_norm2d_77.w_1" shape = [128] dtype = "float32" min_val = float("-0.651349") @@ -1012,6 +1108,7 @@ class Program_weight_tensor_parameter_95: class Program_weight_tensor_parameter_96: name = "parameter_96" + original_name = "conv2d_83.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.363452") @@ -1023,6 +1120,7 @@ class Program_weight_tensor_parameter_96: class Program_weight_tensor_parameter_97: name = "parameter_97" + original_name = "batch_norm2d_76.b_0" shape = [128] dtype = "float32" min_val = float("-0.539994") @@ -1034,6 +1132,7 @@ class Program_weight_tensor_parameter_97: class Program_weight_tensor_parameter_98: name = "parameter_98" + original_name = "batch_norm2d_76.w_0" shape = [128] dtype = "float32" min_val = float("0.531144") @@ -1045,6 +1144,7 @@ class Program_weight_tensor_parameter_98: class Program_weight_tensor_parameter_99: name = "parameter_99" + original_name = "batch_norm2d_76.w_2" shape = [128] dtype = "float32" min_val = float("0.00501941") @@ -1056,6 +1156,7 @@ class Program_weight_tensor_parameter_99: class Program_weight_tensor_parameter_100: name = "parameter_100" + original_name = "batch_norm2d_76.w_1" shape = [128] dtype = "float32" min_val = float("-0.269546") @@ -1067,6 +1168,7 @@ class Program_weight_tensor_parameter_100: class Program_weight_tensor_parameter_101: name = "parameter_101" + original_name = "conv2d_82.w_0" shape = [128, 1, 5, 5] dtype = "float32" min_val = float("-0.206791") @@ -1078,6 +1180,7 @@ class Program_weight_tensor_parameter_101: class Program_weight_tensor_parameter_102: name = "parameter_102" + original_name = "batch_norm2d_75.b_0" shape = [128] dtype = "float32" min_val = float("-0.703013") @@ -1089,6 +1192,7 @@ class Program_weight_tensor_parameter_102: class Program_weight_tensor_parameter_103: name = "parameter_103" + original_name = "batch_norm2d_75.w_0" shape = [128] dtype = "float32" min_val = float("0.317357") @@ -1100,6 +1204,7 @@ class Program_weight_tensor_parameter_103: class Program_weight_tensor_parameter_104: name = "parameter_104" + original_name = "batch_norm2d_75.w_2" shape = [128] dtype = "float32" min_val = float("0.0357772") @@ -1111,6 +1216,7 @@ class Program_weight_tensor_parameter_104: class Program_weight_tensor_parameter_105: name = "parameter_105" + original_name = "batch_norm2d_75.w_1" shape = [128] dtype = "float32" min_val = float("-0.594563") @@ -1122,6 +1228,7 @@ class Program_weight_tensor_parameter_105: class Program_weight_tensor_parameter_106: name = "parameter_106" + original_name = "conv2d_81.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.429123") @@ -1133,6 +1240,7 @@ class Program_weight_tensor_parameter_106: class Program_weight_tensor_parameter_107: name = "parameter_107" + original_name = "batch_norm2d_74.b_0" shape = [128] dtype = "float32" min_val = float("-0.791314") @@ -1144,6 +1252,7 @@ class Program_weight_tensor_parameter_107: class Program_weight_tensor_parameter_108: name = "parameter_108" + original_name = "batch_norm2d_74.w_0" shape = [128] dtype = "float32" min_val = float("0.567183") @@ -1155,6 +1264,7 @@ class Program_weight_tensor_parameter_108: class Program_weight_tensor_parameter_109: name = "parameter_109" + original_name = "batch_norm2d_74.w_2" shape = [128] dtype = "float32" min_val = float("0.000460676") @@ -1166,6 +1276,7 @@ class Program_weight_tensor_parameter_109: class Program_weight_tensor_parameter_110: name = "parameter_110" + original_name = "batch_norm2d_74.w_1" shape = [128] dtype = "float32" min_val = float("-0.51014") @@ -1177,6 +1288,7 @@ class Program_weight_tensor_parameter_110: class Program_weight_tensor_parameter_111: name = "parameter_111" + original_name = "conv2d_80.w_0" shape = [128, 1, 5, 5] dtype = "float32" min_val = float("-0.292761") @@ -1188,6 +1300,7 @@ class Program_weight_tensor_parameter_111: class Program_weight_tensor_parameter_112: name = "parameter_112" + original_name = "batch_norm2d_73.b_0" shape = [128] dtype = "float32" min_val = float("-0.587185") @@ -1199,6 +1312,7 @@ class Program_weight_tensor_parameter_112: class Program_weight_tensor_parameter_113: name = "parameter_113" + original_name = "batch_norm2d_73.w_0" shape = [128] dtype = "float32" min_val = float("0.109887") @@ -1210,6 +1324,7 @@ class Program_weight_tensor_parameter_113: class Program_weight_tensor_parameter_114: name = "parameter_114" + original_name = "batch_norm2d_73.w_2" shape = [128] dtype = "float32" min_val = float("0.0443951") @@ -1221,6 +1336,7 @@ class Program_weight_tensor_parameter_114: class Program_weight_tensor_parameter_115: name = "parameter_115" + original_name = "batch_norm2d_73.w_1" shape = [128] dtype = "float32" min_val = float("-0.742795") @@ -1232,6 +1348,7 @@ class Program_weight_tensor_parameter_115: class Program_weight_tensor_parameter_116: name = "parameter_116" + original_name = "conv2d_79.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.50042") @@ -1243,6 +1360,7 @@ class Program_weight_tensor_parameter_116: class Program_weight_tensor_parameter_117: name = "parameter_117" + original_name = "batch_norm2d_72.b_0" shape = [128] dtype = "float32" min_val = float("-0.344465") @@ -1254,6 +1372,7 @@ class Program_weight_tensor_parameter_117: class Program_weight_tensor_parameter_118: name = "parameter_118" + original_name = "batch_norm2d_72.w_0" shape = [128] dtype = "float32" min_val = float("0.462949") @@ -1265,6 +1384,7 @@ class Program_weight_tensor_parameter_118: class Program_weight_tensor_parameter_119: name = "parameter_119" + original_name = "batch_norm2d_72.w_2" shape = [128] dtype = "float32" min_val = float("0.00305671") @@ -1276,6 +1396,7 @@ class Program_weight_tensor_parameter_119: class Program_weight_tensor_parameter_120: name = "parameter_120" + original_name = "batch_norm2d_72.w_1" shape = [128] dtype = "float32" min_val = float("-0.42283") @@ -1287,6 +1408,7 @@ class Program_weight_tensor_parameter_120: class Program_weight_tensor_parameter_121: name = "parameter_121" + original_name = "conv2d_78.w_0" shape = [128, 1, 5, 5] dtype = "float32" min_val = float("-0.297676") @@ -1298,6 +1420,7 @@ class Program_weight_tensor_parameter_121: class Program_weight_tensor_parameter_122: name = "parameter_122" + original_name = "batch_norm2d_93.b_0" shape = [1] dtype = "float32" min_val = float("0") @@ -1307,6 +1430,7 @@ class Program_weight_tensor_parameter_122: class Program_weight_tensor_parameter_123: name = "parameter_123" + original_name = "batch_norm2d_93.w_0" shape = [1] dtype = "float32" min_val = float("0") @@ -1316,6 +1440,7 @@ class Program_weight_tensor_parameter_123: class Program_weight_tensor_parameter_124: name = "parameter_124" + original_name = "batch_norm2d_93.w_2" shape = [1] dtype = "float32" min_val = float("0") @@ -1325,6 +1450,7 @@ class Program_weight_tensor_parameter_124: class Program_weight_tensor_parameter_125: name = "parameter_125" + original_name = "batch_norm2d_93.w_1" shape = [1] dtype = "float32" min_val = float("0") @@ -1334,6 +1460,7 @@ class Program_weight_tensor_parameter_125: class Program_weight_tensor_parameter_126: name = "parameter_126" + original_name = "conv2d_107.w_0" shape = [1, 1, 1, 1] dtype = "float32" min_val = float("0") @@ -1343,6 +1470,7 @@ class Program_weight_tensor_parameter_126: class Program_weight_tensor_parameter_127: name = "parameter_127" + original_name = "batch_norm2d_92.b_0" shape = [1] dtype = "float32" min_val = float("0") @@ -1352,6 +1480,7 @@ class Program_weight_tensor_parameter_127: class Program_weight_tensor_parameter_128: name = "parameter_128" + original_name = "batch_norm2d_92.w_0" shape = [1] dtype = "float32" min_val = float("0") @@ -1361,6 +1490,7 @@ class Program_weight_tensor_parameter_128: class Program_weight_tensor_parameter_129: name = "parameter_129" + original_name = "batch_norm2d_92.w_2" shape = [1] dtype = "float32" min_val = float("0") @@ -1370,6 +1500,7 @@ class Program_weight_tensor_parameter_129: class Program_weight_tensor_parameter_130: name = "parameter_130" + original_name = "batch_norm2d_92.w_1" shape = [1] dtype = "float32" min_val = float("0") @@ -1379,6 +1510,7 @@ class Program_weight_tensor_parameter_130: class Program_weight_tensor_parameter_131: name = "parameter_131" + original_name = "conv2d_106.w_0" shape = [1, 128, 5, 5] dtype = "float32" min_val = float("-0.357091") @@ -1390,6 +1522,7 @@ class Program_weight_tensor_parameter_131: class Program_weight_tensor_parameter_132: name = "parameter_132" + original_name = "conv2d_105.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -1399,6 +1532,7 @@ class Program_weight_tensor_parameter_132: class Program_weight_tensor_parameter_133: name = "parameter_133" + original_name = "conv2d_105.w_0" shape = [32, 128, 1, 1] dtype = "float32" min_val = float("-0.460762") @@ -1410,6 +1544,7 @@ class Program_weight_tensor_parameter_133: class Program_weight_tensor_parameter_134: name = "parameter_134" + original_name = "conv2d_104.b_0" shape = [4] dtype = "float32" min_val = float("0") @@ -1419,6 +1554,7 @@ class Program_weight_tensor_parameter_134: class Program_weight_tensor_parameter_135: name = "parameter_135" + original_name = "conv2d_104.w_0" shape = [4, 128, 1, 1] dtype = "float32" min_val = float("-0.031269") @@ -1430,6 +1566,7 @@ class Program_weight_tensor_parameter_135: class Program_weight_tensor_parameter_136: name = "parameter_136" + original_name = "batch_norm2d_71.b_0" shape = [128] dtype = "float32" min_val = float("0.000154596") @@ -1441,6 +1578,7 @@ class Program_weight_tensor_parameter_136: class Program_weight_tensor_parameter_137: name = "parameter_137" + original_name = "batch_norm2d_71.w_0" shape = [128] dtype = "float32" min_val = float("0.581305") @@ -1452,6 +1590,7 @@ class Program_weight_tensor_parameter_137: class Program_weight_tensor_parameter_138: name = "parameter_138" + original_name = "batch_norm2d_71.w_2" shape = [128] dtype = "float32" min_val = float("0.0113732") @@ -1463,6 +1602,7 @@ class Program_weight_tensor_parameter_138: class Program_weight_tensor_parameter_139: name = "parameter_139" + original_name = "batch_norm2d_71.w_1" shape = [128] dtype = "float32" min_val = float("-0.436365") @@ -1474,6 +1614,7 @@ class Program_weight_tensor_parameter_139: class Program_weight_tensor_parameter_140: name = "parameter_140" + original_name = "conv2d_77.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.43062") @@ -1485,6 +1626,7 @@ class Program_weight_tensor_parameter_140: class Program_weight_tensor_parameter_141: name = "parameter_141" + original_name = "conv2d_76.b_0" shape = [128] dtype = "float32" min_val = float("-0.0442835") @@ -1496,6 +1638,7 @@ class Program_weight_tensor_parameter_141: class Program_weight_tensor_parameter_142: name = "parameter_142" + original_name = "conv2d_76.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.283959") @@ -1507,6 +1650,7 @@ class Program_weight_tensor_parameter_142: class Program_weight_tensor_parameter_143: name = "parameter_143" + original_name = "batch_norm2d_70.b_0" shape = [128] dtype = "float32" min_val = float("-1.0377") @@ -1518,6 +1662,7 @@ class Program_weight_tensor_parameter_143: class Program_weight_tensor_parameter_144: name = "parameter_144" + original_name = "batch_norm2d_70.w_0" shape = [128] dtype = "float32" min_val = float("0.363024") @@ -1529,6 +1674,7 @@ class Program_weight_tensor_parameter_144: class Program_weight_tensor_parameter_145: name = "parameter_145" + original_name = "batch_norm2d_70.w_2" shape = [128] dtype = "float32" min_val = float("0.0651401") @@ -1540,6 +1686,7 @@ class Program_weight_tensor_parameter_145: class Program_weight_tensor_parameter_146: name = "parameter_146" + original_name = "batch_norm2d_70.w_1" shape = [128] dtype = "float32" min_val = float("-1.53252") @@ -1551,6 +1698,7 @@ class Program_weight_tensor_parameter_146: class Program_weight_tensor_parameter_147: name = "parameter_147" + original_name = "conv2d_75.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.377902") @@ -1562,6 +1710,7 @@ class Program_weight_tensor_parameter_147: class Program_weight_tensor_parameter_148: name = "parameter_148" + original_name = "batch_norm2d_69.b_0" shape = [128] dtype = "float32" min_val = float("-0.44107") @@ -1573,6 +1722,7 @@ class Program_weight_tensor_parameter_148: class Program_weight_tensor_parameter_149: name = "parameter_149" + original_name = "batch_norm2d_69.w_0" shape = [128] dtype = "float32" min_val = float("0.438856") @@ -1584,6 +1734,7 @@ class Program_weight_tensor_parameter_149: class Program_weight_tensor_parameter_150: name = "parameter_150" + original_name = "batch_norm2d_69.w_2" shape = [128] dtype = "float32" min_val = float("0.000100845") @@ -1595,6 +1746,7 @@ class Program_weight_tensor_parameter_150: class Program_weight_tensor_parameter_151: name = "parameter_151" + original_name = "batch_norm2d_69.w_1" shape = [128] dtype = "float32" min_val = float("-0.374015") @@ -1606,6 +1758,7 @@ class Program_weight_tensor_parameter_151: class Program_weight_tensor_parameter_152: name = "parameter_152" + original_name = "conv2d_74.w_0" shape = [128, 1, 5, 5] dtype = "float32" min_val = float("-0.464301") @@ -1617,6 +1770,7 @@ class Program_weight_tensor_parameter_152: class Program_weight_tensor_parameter_153: name = "parameter_153" + original_name = "batch_norm2d_68.b_0" shape = [128] dtype = "float32" min_val = float("-1.32816") @@ -1628,6 +1782,7 @@ class Program_weight_tensor_parameter_153: class Program_weight_tensor_parameter_154: name = "parameter_154" + original_name = "batch_norm2d_68.w_0" shape = [128] dtype = "float32" min_val = float("0.0439727") @@ -1639,6 +1794,7 @@ class Program_weight_tensor_parameter_154: class Program_weight_tensor_parameter_155: name = "parameter_155" + original_name = "batch_norm2d_68.w_2" shape = [128] dtype = "float32" min_val = float("0.0445632") @@ -1650,6 +1806,7 @@ class Program_weight_tensor_parameter_155: class Program_weight_tensor_parameter_156: name = "parameter_156" + original_name = "batch_norm2d_68.w_1" shape = [128] dtype = "float32" min_val = float("-0.604038") @@ -1661,6 +1818,7 @@ class Program_weight_tensor_parameter_156: class Program_weight_tensor_parameter_157: name = "parameter_157" + original_name = "conv2d_73.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.343683") @@ -1672,6 +1830,7 @@ class Program_weight_tensor_parameter_157: class Program_weight_tensor_parameter_158: name = "parameter_158" + original_name = "batch_norm2d_67.b_0" shape = [128] dtype = "float32" min_val = float("-0.543288") @@ -1683,6 +1842,7 @@ class Program_weight_tensor_parameter_158: class Program_weight_tensor_parameter_159: name = "parameter_159" + original_name = "batch_norm2d_67.w_0" shape = [128] dtype = "float32" min_val = float("0.533199") @@ -1694,6 +1854,7 @@ class Program_weight_tensor_parameter_159: class Program_weight_tensor_parameter_160: name = "parameter_160" + original_name = "batch_norm2d_67.w_2" shape = [128] dtype = "float32" min_val = float("0.000433059") @@ -1705,6 +1866,7 @@ class Program_weight_tensor_parameter_160: class Program_weight_tensor_parameter_161: name = "parameter_161" + original_name = "batch_norm2d_67.w_1" shape = [128] dtype = "float32" min_val = float("-0.274309") @@ -1716,6 +1878,7 @@ class Program_weight_tensor_parameter_161: class Program_weight_tensor_parameter_162: name = "parameter_162" + original_name = "conv2d_72.w_0" shape = [128, 1, 5, 5] dtype = "float32" min_val = float("-0.26847") @@ -1727,6 +1890,7 @@ class Program_weight_tensor_parameter_162: class Program_weight_tensor_parameter_163: name = "parameter_163" + original_name = "batch_norm2d_66.b_0" shape = [128] dtype = "float32" min_val = float("-0.539036") @@ -1738,6 +1902,7 @@ class Program_weight_tensor_parameter_163: class Program_weight_tensor_parameter_164: name = "parameter_164" + original_name = "batch_norm2d_66.w_0" shape = [128] dtype = "float32" min_val = float("0.143475") @@ -1749,6 +1914,7 @@ class Program_weight_tensor_parameter_164: class Program_weight_tensor_parameter_165: name = "parameter_165" + original_name = "batch_norm2d_66.w_2" shape = [128] dtype = "float32" min_val = float("0.0722798") @@ -1760,6 +1926,7 @@ class Program_weight_tensor_parameter_165: class Program_weight_tensor_parameter_166: name = "parameter_166" + original_name = "batch_norm2d_66.w_1" shape = [128] dtype = "float32" min_val = float("-0.704521") @@ -1771,6 +1938,7 @@ class Program_weight_tensor_parameter_166: class Program_weight_tensor_parameter_167: name = "parameter_167" + original_name = "conv2d_71.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.384294") @@ -1782,6 +1950,7 @@ class Program_weight_tensor_parameter_167: class Program_weight_tensor_parameter_168: name = "parameter_168" + original_name = "batch_norm2d_65.b_0" shape = [128] dtype = "float32" min_val = float("-0.756363") @@ -1793,6 +1962,7 @@ class Program_weight_tensor_parameter_168: class Program_weight_tensor_parameter_169: name = "parameter_169" + original_name = "batch_norm2d_65.w_0" shape = [128] dtype = "float32" min_val = float("0.490567") @@ -1804,6 +1974,7 @@ class Program_weight_tensor_parameter_169: class Program_weight_tensor_parameter_170: name = "parameter_170" + original_name = "batch_norm2d_65.w_2" shape = [128] dtype = "float32" min_val = float("0.000918087") @@ -1815,6 +1986,7 @@ class Program_weight_tensor_parameter_170: class Program_weight_tensor_parameter_171: name = "parameter_171" + original_name = "batch_norm2d_65.w_1" shape = [128] dtype = "float32" min_val = float("-0.427421") @@ -1826,6 +1998,7 @@ class Program_weight_tensor_parameter_171: class Program_weight_tensor_parameter_172: name = "parameter_172" + original_name = "conv2d_70.w_0" shape = [128, 1, 5, 5] dtype = "float32" min_val = float("-0.260976") @@ -1837,6 +2010,7 @@ class Program_weight_tensor_parameter_172: class Program_weight_tensor_parameter_173: name = "parameter_173" + original_name = "batch_norm2d_64.b_0" shape = [128] dtype = "float32" min_val = float("-0.759551") @@ -1848,6 +2022,7 @@ class Program_weight_tensor_parameter_173: class Program_weight_tensor_parameter_174: name = "parameter_174" + original_name = "batch_norm2d_64.w_0" shape = [128] dtype = "float32" min_val = float("0.103419") @@ -1859,6 +2034,7 @@ class Program_weight_tensor_parameter_174: class Program_weight_tensor_parameter_175: name = "parameter_175" + original_name = "batch_norm2d_64.w_2" shape = [128] dtype = "float32" min_val = float("0.0516592") @@ -1870,6 +2046,7 @@ class Program_weight_tensor_parameter_175: class Program_weight_tensor_parameter_176: name = "parameter_176" + original_name = "batch_norm2d_64.w_1" shape = [128] dtype = "float32" min_val = float("-0.625461") @@ -1881,6 +2058,7 @@ class Program_weight_tensor_parameter_176: class Program_weight_tensor_parameter_177: name = "parameter_177" + original_name = "conv2d_69.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.344399") @@ -1892,6 +2070,7 @@ class Program_weight_tensor_parameter_177: class Program_weight_tensor_parameter_178: name = "parameter_178" + original_name = "batch_norm2d_63.b_0" shape = [128] dtype = "float32" min_val = float("-0.0497875") @@ -1903,6 +2082,7 @@ class Program_weight_tensor_parameter_178: class Program_weight_tensor_parameter_179: name = "parameter_179" + original_name = "batch_norm2d_63.w_0" shape = [128] dtype = "float32" min_val = float("0.49971") @@ -1914,6 +2094,7 @@ class Program_weight_tensor_parameter_179: class Program_weight_tensor_parameter_180: name = "parameter_180" + original_name = "batch_norm2d_63.w_2" shape = [128] dtype = "float32" min_val = float("0.00294445") @@ -1925,6 +2106,7 @@ class Program_weight_tensor_parameter_180: class Program_weight_tensor_parameter_181: name = "parameter_181" + original_name = "batch_norm2d_63.w_1" shape = [128] dtype = "float32" min_val = float("-0.630782") @@ -1936,6 +2118,7 @@ class Program_weight_tensor_parameter_181: class Program_weight_tensor_parameter_182: name = "parameter_182" + original_name = "conv2d_68.w_0" shape = [128, 1, 5, 5] dtype = "float32" min_val = float("-0.332609") @@ -1947,6 +2130,7 @@ class Program_weight_tensor_parameter_182: class Program_weight_tensor_parameter_183: name = "parameter_183" + original_name = "batch_norm2d_91.b_0" shape = [1] dtype = "float32" min_val = float("0") @@ -1956,6 +2140,7 @@ class Program_weight_tensor_parameter_183: class Program_weight_tensor_parameter_184: name = "parameter_184" + original_name = "batch_norm2d_91.w_0" shape = [1] dtype = "float32" min_val = float("0") @@ -1965,6 +2150,7 @@ class Program_weight_tensor_parameter_184: class Program_weight_tensor_parameter_185: name = "parameter_185" + original_name = "batch_norm2d_91.w_2" shape = [1] dtype = "float32" min_val = float("0") @@ -1974,6 +2160,7 @@ class Program_weight_tensor_parameter_185: class Program_weight_tensor_parameter_186: name = "parameter_186" + original_name = "batch_norm2d_91.w_1" shape = [1] dtype = "float32" min_val = float("0") @@ -1983,6 +2170,7 @@ class Program_weight_tensor_parameter_186: class Program_weight_tensor_parameter_187: name = "parameter_187" + original_name = "conv2d_103.w_0" shape = [1, 1, 1, 1] dtype = "float32" min_val = float("0") @@ -1992,6 +2180,7 @@ class Program_weight_tensor_parameter_187: class Program_weight_tensor_parameter_188: name = "parameter_188" + original_name = "batch_norm2d_90.b_0" shape = [1] dtype = "float32" min_val = float("0") @@ -2001,6 +2190,7 @@ class Program_weight_tensor_parameter_188: class Program_weight_tensor_parameter_189: name = "parameter_189" + original_name = "batch_norm2d_90.w_0" shape = [1] dtype = "float32" min_val = float("0") @@ -2010,6 +2200,7 @@ class Program_weight_tensor_parameter_189: class Program_weight_tensor_parameter_190: name = "parameter_190" + original_name = "batch_norm2d_90.w_2" shape = [1] dtype = "float32" min_val = float("0") @@ -2019,6 +2210,7 @@ class Program_weight_tensor_parameter_190: class Program_weight_tensor_parameter_191: name = "parameter_191" + original_name = "batch_norm2d_90.w_1" shape = [1] dtype = "float32" min_val = float("0") @@ -2028,6 +2220,7 @@ class Program_weight_tensor_parameter_191: class Program_weight_tensor_parameter_192: name = "parameter_192" + original_name = "conv2d_102.w_0" shape = [1, 128, 5, 5] dtype = "float32" min_val = float("-0.51734") @@ -2039,6 +2232,7 @@ class Program_weight_tensor_parameter_192: class Program_weight_tensor_parameter_193: name = "parameter_193" + original_name = "conv2d_101.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -2048,6 +2242,7 @@ class Program_weight_tensor_parameter_193: class Program_weight_tensor_parameter_194: name = "parameter_194" + original_name = "conv2d_101.w_0" shape = [32, 128, 1, 1] dtype = "float32" min_val = float("-0.548082") @@ -2059,6 +2254,7 @@ class Program_weight_tensor_parameter_194: class Program_weight_tensor_parameter_195: name = "parameter_195" + original_name = "conv2d_100.b_0" shape = [4] dtype = "float32" min_val = float("0") @@ -2068,6 +2264,7 @@ class Program_weight_tensor_parameter_195: class Program_weight_tensor_parameter_196: name = "parameter_196" + original_name = "conv2d_100.w_0" shape = [4, 128, 1, 1] dtype = "float32" min_val = float("-0.0269545") @@ -2079,6 +2276,7 @@ class Program_weight_tensor_parameter_196: class Program_weight_tensor_parameter_197: name = "parameter_197" + original_name = "batch_norm2d_62.b_0" shape = [128] dtype = "float32" min_val = float("-0.767282") @@ -2090,6 +2288,7 @@ class Program_weight_tensor_parameter_197: class Program_weight_tensor_parameter_198: name = "parameter_198" + original_name = "batch_norm2d_62.w_0" shape = [128] dtype = "float32" min_val = float("0.428027") @@ -2101,6 +2300,7 @@ class Program_weight_tensor_parameter_198: class Program_weight_tensor_parameter_199: name = "parameter_199" + original_name = "batch_norm2d_62.w_2" shape = [128] dtype = "float32" min_val = float("0.0145267") @@ -2112,6 +2312,7 @@ class Program_weight_tensor_parameter_199: class Program_weight_tensor_parameter_200: name = "parameter_200" + original_name = "batch_norm2d_62.w_1" shape = [128] dtype = "float32" min_val = float("-0.49817") @@ -2123,6 +2324,7 @@ class Program_weight_tensor_parameter_200: class Program_weight_tensor_parameter_201: name = "parameter_201" + original_name = "conv2d_67.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.622399") @@ -2134,6 +2336,7 @@ class Program_weight_tensor_parameter_201: class Program_weight_tensor_parameter_202: name = "parameter_202" + original_name = "conv2d_66.b_0" shape = [128] dtype = "float32" min_val = float("-0.0420704") @@ -2145,6 +2348,7 @@ class Program_weight_tensor_parameter_202: class Program_weight_tensor_parameter_203: name = "parameter_203" + original_name = "conv2d_66.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.459781") @@ -2156,6 +2360,7 @@ class Program_weight_tensor_parameter_203: class Program_weight_tensor_parameter_204: name = "parameter_204" + original_name = "batch_norm2d_61.b_0" shape = [128] dtype = "float32" min_val = float("-1.14625") @@ -2167,6 +2372,7 @@ class Program_weight_tensor_parameter_204: class Program_weight_tensor_parameter_205: name = "parameter_205" + original_name = "batch_norm2d_61.w_0" shape = [128] dtype = "float32" min_val = float("0.369436") @@ -2178,6 +2384,7 @@ class Program_weight_tensor_parameter_205: class Program_weight_tensor_parameter_206: name = "parameter_206" + original_name = "batch_norm2d_61.w_2" shape = [128] dtype = "float32" min_val = float("0.0818767") @@ -2189,6 +2396,7 @@ class Program_weight_tensor_parameter_206: class Program_weight_tensor_parameter_207: name = "parameter_207" + original_name = "batch_norm2d_61.w_1" shape = [128] dtype = "float32" min_val = float("-1.41623") @@ -2200,6 +2408,7 @@ class Program_weight_tensor_parameter_207: class Program_weight_tensor_parameter_208: name = "parameter_208" + original_name = "conv2d_65.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.617533") @@ -2211,6 +2420,7 @@ class Program_weight_tensor_parameter_208: class Program_weight_tensor_parameter_209: name = "parameter_209" + original_name = "batch_norm2d_60.b_0" shape = [128] dtype = "float32" min_val = float("-1.22479") @@ -2222,6 +2432,7 @@ class Program_weight_tensor_parameter_209: class Program_weight_tensor_parameter_210: name = "parameter_210" + original_name = "batch_norm2d_60.w_0" shape = [128] dtype = "float32" min_val = float("0.419721") @@ -2233,6 +2444,7 @@ class Program_weight_tensor_parameter_210: class Program_weight_tensor_parameter_211: name = "parameter_211" + original_name = "batch_norm2d_60.w_2" shape = [128] dtype = "float32" min_val = float("0.000125305") @@ -2244,6 +2456,7 @@ class Program_weight_tensor_parameter_211: class Program_weight_tensor_parameter_212: name = "parameter_212" + original_name = "batch_norm2d_60.w_1" shape = [128] dtype = "float32" min_val = float("-0.451911") @@ -2255,6 +2468,7 @@ class Program_weight_tensor_parameter_212: class Program_weight_tensor_parameter_213: name = "parameter_213" + original_name = "conv2d_64.w_0" shape = [128, 1, 5, 5] dtype = "float32" min_val = float("-0.61546") @@ -2266,6 +2480,7 @@ class Program_weight_tensor_parameter_213: class Program_weight_tensor_parameter_214: name = "parameter_214" + original_name = "batch_norm2d_59.b_0" shape = [128] dtype = "float32" min_val = float("-1.18127") @@ -2277,6 +2492,7 @@ class Program_weight_tensor_parameter_214: class Program_weight_tensor_parameter_215: name = "parameter_215" + original_name = "batch_norm2d_59.w_0" shape = [128] dtype = "float32" min_val = float("0.0395585") @@ -2288,6 +2504,7 @@ class Program_weight_tensor_parameter_215: class Program_weight_tensor_parameter_216: name = "parameter_216" + original_name = "batch_norm2d_59.w_2" shape = [128] dtype = "float32" min_val = float("0.0573107") @@ -2299,6 +2516,7 @@ class Program_weight_tensor_parameter_216: class Program_weight_tensor_parameter_217: name = "parameter_217" + original_name = "batch_norm2d_59.w_1" shape = [128] dtype = "float32" min_val = float("-0.932786") @@ -2310,6 +2528,7 @@ class Program_weight_tensor_parameter_217: class Program_weight_tensor_parameter_218: name = "parameter_218" + original_name = "conv2d_63.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.581829") @@ -2321,6 +2540,7 @@ class Program_weight_tensor_parameter_218: class Program_weight_tensor_parameter_219: name = "parameter_219" + original_name = "batch_norm2d_58.b_0" shape = [128] dtype = "float32" min_val = float("-0.993675") @@ -2332,6 +2552,7 @@ class Program_weight_tensor_parameter_219: class Program_weight_tensor_parameter_220: name = "parameter_220" + original_name = "batch_norm2d_58.w_0" shape = [128] dtype = "float32" min_val = float("0.496144") @@ -2343,6 +2564,7 @@ class Program_weight_tensor_parameter_220: class Program_weight_tensor_parameter_221: name = "parameter_221" + original_name = "batch_norm2d_58.w_2" shape = [128] dtype = "float32" min_val = float("9.11579e-05") @@ -2354,6 +2576,7 @@ class Program_weight_tensor_parameter_221: class Program_weight_tensor_parameter_222: name = "parameter_222" + original_name = "batch_norm2d_58.w_1" shape = [128] dtype = "float32" min_val = float("-0.351794") @@ -2365,6 +2588,7 @@ class Program_weight_tensor_parameter_222: class Program_weight_tensor_parameter_223: name = "parameter_223" + original_name = "conv2d_62.w_0" shape = [128, 1, 5, 5] dtype = "float32" min_val = float("-0.350437") @@ -2376,6 +2600,7 @@ class Program_weight_tensor_parameter_223: class Program_weight_tensor_parameter_224: name = "parameter_224" + original_name = "batch_norm2d_57.b_0" shape = [128] dtype = "float32" min_val = float("-1.39768") @@ -2387,6 +2612,7 @@ class Program_weight_tensor_parameter_224: class Program_weight_tensor_parameter_225: name = "parameter_225" + original_name = "batch_norm2d_57.w_0" shape = [128] dtype = "float32" min_val = float("0.0608444") @@ -2398,6 +2624,7 @@ class Program_weight_tensor_parameter_225: class Program_weight_tensor_parameter_226: name = "parameter_226" + original_name = "batch_norm2d_57.w_2" shape = [128] dtype = "float32" min_val = float("0.0874452") @@ -2409,6 +2636,7 @@ class Program_weight_tensor_parameter_226: class Program_weight_tensor_parameter_227: name = "parameter_227" + original_name = "batch_norm2d_57.w_1" shape = [128] dtype = "float32" min_val = float("-1.91907") @@ -2420,6 +2648,7 @@ class Program_weight_tensor_parameter_227: class Program_weight_tensor_parameter_228: name = "parameter_228" + original_name = "conv2d_61.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.476129") @@ -2431,6 +2660,7 @@ class Program_weight_tensor_parameter_228: class Program_weight_tensor_parameter_229: name = "parameter_229" + original_name = "batch_norm2d_56.b_0" shape = [128] dtype = "float32" min_val = float("-0.831886") @@ -2442,6 +2672,7 @@ class Program_weight_tensor_parameter_229: class Program_weight_tensor_parameter_230: name = "parameter_230" + original_name = "batch_norm2d_56.w_0" shape = [128] dtype = "float32" min_val = float("0.447895") @@ -2453,6 +2684,7 @@ class Program_weight_tensor_parameter_230: class Program_weight_tensor_parameter_231: name = "parameter_231" + original_name = "batch_norm2d_56.w_2" shape = [128] dtype = "float32" min_val = float("0.000318756") @@ -2464,6 +2696,7 @@ class Program_weight_tensor_parameter_231: class Program_weight_tensor_parameter_232: name = "parameter_232" + original_name = "batch_norm2d_56.w_1" shape = [128] dtype = "float32" min_val = float("-0.484044") @@ -2475,6 +2708,7 @@ class Program_weight_tensor_parameter_232: class Program_weight_tensor_parameter_233: name = "parameter_233" + original_name = "conv2d_60.w_0" shape = [128, 1, 5, 5] dtype = "float32" min_val = float("-0.355479") @@ -2486,6 +2720,7 @@ class Program_weight_tensor_parameter_233: class Program_weight_tensor_parameter_234: name = "parameter_234" + original_name = "batch_norm2d_55.b_0" shape = [128] dtype = "float32" min_val = float("-0.992898") @@ -2497,6 +2732,7 @@ class Program_weight_tensor_parameter_234: class Program_weight_tensor_parameter_235: name = "parameter_235" + original_name = "batch_norm2d_55.w_0" shape = [128] dtype = "float32" min_val = float("0.0912636") @@ -2508,6 +2744,7 @@ class Program_weight_tensor_parameter_235: class Program_weight_tensor_parameter_236: name = "parameter_236" + original_name = "batch_norm2d_55.w_2" shape = [128] dtype = "float32" min_val = float("0.0691461") @@ -2519,6 +2756,7 @@ class Program_weight_tensor_parameter_236: class Program_weight_tensor_parameter_237: name = "parameter_237" + original_name = "batch_norm2d_55.w_1" shape = [128] dtype = "float32" min_val = float("-1.37572") @@ -2530,6 +2768,7 @@ class Program_weight_tensor_parameter_237: class Program_weight_tensor_parameter_238: name = "parameter_238" + original_name = "conv2d_59.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.597936") @@ -2541,6 +2780,7 @@ class Program_weight_tensor_parameter_238: class Program_weight_tensor_parameter_239: name = "parameter_239" + original_name = "batch_norm2d_54.b_0" shape = [128] dtype = "float32" min_val = float("-0.117188") @@ -2552,6 +2792,7 @@ class Program_weight_tensor_parameter_239: class Program_weight_tensor_parameter_240: name = "parameter_240" + original_name = "batch_norm2d_54.w_0" shape = [128] dtype = "float32" min_val = float("0.404567") @@ -2563,6 +2804,7 @@ class Program_weight_tensor_parameter_240: class Program_weight_tensor_parameter_241: name = "parameter_241" + original_name = "batch_norm2d_54.w_2" shape = [128] dtype = "float32" min_val = float("0.00138066") @@ -2574,6 +2816,7 @@ class Program_weight_tensor_parameter_241: class Program_weight_tensor_parameter_242: name = "parameter_242" + original_name = "batch_norm2d_54.w_1" shape = [128] dtype = "float32" min_val = float("-0.37167") @@ -2585,6 +2828,7 @@ class Program_weight_tensor_parameter_242: class Program_weight_tensor_parameter_243: name = "parameter_243" + original_name = "conv2d_58.w_0" shape = [128, 1, 5, 5] dtype = "float32" min_val = float("-0.401946") @@ -2596,6 +2840,7 @@ class Program_weight_tensor_parameter_243: class Program_weight_tensor_parameter_244: name = "parameter_244" + original_name = "batch_norm2d_33.b_0" shape = [128] dtype = "float32" min_val = float("-0.0777038") @@ -2607,6 +2852,7 @@ class Program_weight_tensor_parameter_244: class Program_weight_tensor_parameter_245: name = "parameter_245" + original_name = "batch_norm2d_33.w_0" shape = [128] dtype = "float32" min_val = float("0.00626663") @@ -2618,6 +2864,7 @@ class Program_weight_tensor_parameter_245: class Program_weight_tensor_parameter_246: name = "parameter_246" + original_name = "batch_norm2d_33.w_2" shape = [128] dtype = "float32" min_val = float("5.51813e-05") @@ -2629,6 +2876,7 @@ class Program_weight_tensor_parameter_246: class Program_weight_tensor_parameter_247: name = "parameter_247" + original_name = "batch_norm2d_33.w_1" shape = [128] dtype = "float32" min_val = float("-0.0111929") @@ -2640,6 +2888,7 @@ class Program_weight_tensor_parameter_247: class Program_weight_tensor_parameter_248: name = "parameter_248" + original_name = "conv2d_37.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.263587") @@ -2651,6 +2900,7 @@ class Program_weight_tensor_parameter_248: class Program_weight_tensor_parameter_249: name = "parameter_249" + original_name = "batch_norm2d_32.b_0" shape = [128] dtype = "float32" min_val = float("-0.166459") @@ -2662,6 +2912,7 @@ class Program_weight_tensor_parameter_249: class Program_weight_tensor_parameter_250: name = "parameter_250" + original_name = "batch_norm2d_32.w_0" shape = [128] dtype = "float32" min_val = float("0.05925") @@ -2673,6 +2924,7 @@ class Program_weight_tensor_parameter_250: class Program_weight_tensor_parameter_251: name = "parameter_251" + original_name = "batch_norm2d_32.w_2" shape = [128] dtype = "float32" min_val = float("0.000291072") @@ -2684,6 +2936,7 @@ class Program_weight_tensor_parameter_251: class Program_weight_tensor_parameter_252: name = "parameter_252" + original_name = "batch_norm2d_32.w_1" shape = [128] dtype = "float32" min_val = float("-0.37507") @@ -2695,6 +2948,7 @@ class Program_weight_tensor_parameter_252: class Program_weight_tensor_parameter_253: name = "parameter_253" + original_name = "conv2d_36.w_0" shape = [128, 1, 5, 5] dtype = "float32" min_val = float("-0.157172") @@ -2706,6 +2960,7 @@ class Program_weight_tensor_parameter_253: class Program_weight_tensor_parameter_254: name = "parameter_254" + original_name = "batch_norm2d_31.b_0" shape = [128] dtype = "float32" min_val = float("-0.0813255") @@ -2717,6 +2972,7 @@ class Program_weight_tensor_parameter_254: class Program_weight_tensor_parameter_255: name = "parameter_255" + original_name = "batch_norm2d_31.w_0" shape = [128] dtype = "float32" min_val = float("0.00354688") @@ -2728,6 +2984,7 @@ class Program_weight_tensor_parameter_255: class Program_weight_tensor_parameter_256: name = "parameter_256" + original_name = "batch_norm2d_31.w_2" shape = [128] dtype = "float32" min_val = float("3.84388e-05") @@ -2739,6 +2996,7 @@ class Program_weight_tensor_parameter_256: class Program_weight_tensor_parameter_257: name = "parameter_257" + original_name = "batch_norm2d_31.w_1" shape = [128] dtype = "float32" min_val = float("-0.00637622") @@ -2750,6 +3008,7 @@ class Program_weight_tensor_parameter_257: class Program_weight_tensor_parameter_258: name = "parameter_258" + original_name = "conv2d_35.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.229532") @@ -2761,6 +3020,7 @@ class Program_weight_tensor_parameter_258: class Program_weight_tensor_parameter_259: name = "parameter_259" + original_name = "batch_norm2d_30.b_0" shape = [128] dtype = "float32" min_val = float("-0.0510407") @@ -2772,6 +3032,7 @@ class Program_weight_tensor_parameter_259: class Program_weight_tensor_parameter_260: name = "parameter_260" + original_name = "batch_norm2d_30.w_0" shape = [128] dtype = "float32" min_val = float("0.0169985") @@ -2783,6 +3044,7 @@ class Program_weight_tensor_parameter_260: class Program_weight_tensor_parameter_261: name = "parameter_261" + original_name = "batch_norm2d_30.w_2" shape = [128] dtype = "float32" min_val = float("4.63938e-06") @@ -2794,6 +3056,7 @@ class Program_weight_tensor_parameter_261: class Program_weight_tensor_parameter_262: name = "parameter_262" + original_name = "batch_norm2d_30.w_1" shape = [128] dtype = "float32" min_val = float("-0.036702") @@ -2805,6 +3068,7 @@ class Program_weight_tensor_parameter_262: class Program_weight_tensor_parameter_263: name = "parameter_263" + original_name = "conv2d_34.w_0" shape = [128, 1, 5, 5] dtype = "float32" min_val = float("-0.133986") @@ -2816,6 +3080,7 @@ class Program_weight_tensor_parameter_263: class Program_weight_tensor_parameter_264: name = "parameter_264" + original_name = "batch_norm2d_53.b_0" shape = [128] dtype = "float32" min_val = float("-1.12847") @@ -2827,6 +3092,7 @@ class Program_weight_tensor_parameter_264: class Program_weight_tensor_parameter_265: name = "parameter_265" + original_name = "batch_norm2d_53.w_0" shape = [128] dtype = "float32" min_val = float("0.15137") @@ -2838,6 +3104,7 @@ class Program_weight_tensor_parameter_265: class Program_weight_tensor_parameter_266: name = "parameter_266" + original_name = "batch_norm2d_53.w_2" shape = [128] dtype = "float32" min_val = float("0.104951") @@ -2849,6 +3116,7 @@ class Program_weight_tensor_parameter_266: class Program_weight_tensor_parameter_267: name = "parameter_267" + original_name = "batch_norm2d_53.w_1" shape = [128] dtype = "float32" min_val = float("-0.500605") @@ -2860,6 +3128,7 @@ class Program_weight_tensor_parameter_267: class Program_weight_tensor_parameter_268: name = "parameter_268" + original_name = "conv2d_57.w_0" shape = [128, 256, 1, 1] dtype = "float32" min_val = float("-0.303907") @@ -2871,6 +3140,7 @@ class Program_weight_tensor_parameter_268: class Program_weight_tensor_parameter_269: name = "parameter_269" + original_name = "batch_norm2d_52.b_0" shape = [256] dtype = "float32" min_val = float("-0.561868") @@ -2882,6 +3152,7 @@ class Program_weight_tensor_parameter_269: class Program_weight_tensor_parameter_270: name = "parameter_270" + original_name = "batch_norm2d_52.w_0" shape = [256] dtype = "float32" min_val = float("0.652484") @@ -2893,6 +3164,7 @@ class Program_weight_tensor_parameter_270: class Program_weight_tensor_parameter_271: name = "parameter_271" + original_name = "batch_norm2d_52.w_2" shape = [256] dtype = "float32" min_val = float("0.00559421") @@ -2904,6 +3176,7 @@ class Program_weight_tensor_parameter_271: class Program_weight_tensor_parameter_272: name = "parameter_272" + original_name = "batch_norm2d_52.w_1" shape = [256] dtype = "float32" min_val = float("-0.236839") @@ -2915,6 +3188,7 @@ class Program_weight_tensor_parameter_272: class Program_weight_tensor_parameter_273: name = "parameter_273" + original_name = "conv2d_56.w_0" shape = [256, 1, 5, 5] dtype = "float32" min_val = float("-0.219092") @@ -2926,6 +3200,7 @@ class Program_weight_tensor_parameter_273: class Program_weight_tensor_parameter_274: name = "parameter_274" + original_name = "batch_norm2d_51.b_0" shape = [256] dtype = "float32" min_val = float("-0.837547") @@ -2937,6 +3212,7 @@ class Program_weight_tensor_parameter_274: class Program_weight_tensor_parameter_275: name = "parameter_275" + original_name = "batch_norm2d_51.w_0" shape = [256] dtype = "float32" min_val = float("0.503062") @@ -2948,6 +3224,7 @@ class Program_weight_tensor_parameter_275: class Program_weight_tensor_parameter_276: name = "parameter_276" + original_name = "batch_norm2d_51.w_2" shape = [256] dtype = "float32" min_val = float("0.0745182") @@ -2959,6 +3236,7 @@ class Program_weight_tensor_parameter_276: class Program_weight_tensor_parameter_277: name = "parameter_277" + original_name = "batch_norm2d_51.w_1" shape = [256] dtype = "float32" min_val = float("-0.75029") @@ -2970,6 +3248,7 @@ class Program_weight_tensor_parameter_277: class Program_weight_tensor_parameter_278: name = "parameter_278" + original_name = "conv2d_55.w_0" shape = [256, 256, 1, 1] dtype = "float32" min_val = float("-0.30295") @@ -2981,6 +3260,7 @@ class Program_weight_tensor_parameter_278: class Program_weight_tensor_parameter_279: name = "parameter_279" + original_name = "batch_norm2d_50.b_0" shape = [256] dtype = "float32" min_val = float("-0.926851") @@ -2992,6 +3272,7 @@ class Program_weight_tensor_parameter_279: class Program_weight_tensor_parameter_280: name = "parameter_280" + original_name = "batch_norm2d_50.w_0" shape = [256] dtype = "float32" min_val = float("0.539634") @@ -3003,6 +3284,7 @@ class Program_weight_tensor_parameter_280: class Program_weight_tensor_parameter_281: name = "parameter_281" + original_name = "batch_norm2d_50.w_2" shape = [256] dtype = "float32" min_val = float("4.20165e-05") @@ -3014,6 +3296,7 @@ class Program_weight_tensor_parameter_281: class Program_weight_tensor_parameter_282: name = "parameter_282" + original_name = "batch_norm2d_50.w_1" shape = [256] dtype = "float32" min_val = float("-0.0315107") @@ -3025,6 +3308,7 @@ class Program_weight_tensor_parameter_282: class Program_weight_tensor_parameter_283: name = "parameter_283" + original_name = "conv2d_54.w_0" shape = [256, 1, 5, 5] dtype = "float32" min_val = float("-0.306677") @@ -3036,6 +3320,7 @@ class Program_weight_tensor_parameter_283: class Program_weight_tensor_parameter_284: name = "parameter_284" + original_name = "batch_norm2d_49.b_0" shape = [128] dtype = "float32" min_val = float("-0.100957") @@ -3047,6 +3332,7 @@ class Program_weight_tensor_parameter_284: class Program_weight_tensor_parameter_285: name = "parameter_285" + original_name = "batch_norm2d_49.w_0" shape = [128] dtype = "float32" min_val = float("0.0486604") @@ -3058,6 +3344,7 @@ class Program_weight_tensor_parameter_285: class Program_weight_tensor_parameter_286: name = "parameter_286" + original_name = "batch_norm2d_49.w_2" shape = [128] dtype = "float32" min_val = float("0.00058498") @@ -3069,6 +3356,7 @@ class Program_weight_tensor_parameter_286: class Program_weight_tensor_parameter_287: name = "parameter_287" + original_name = "batch_norm2d_49.w_1" shape = [128] dtype = "float32" min_val = float("-0.028994") @@ -3080,6 +3368,7 @@ class Program_weight_tensor_parameter_287: class Program_weight_tensor_parameter_288: name = "parameter_288" + original_name = "conv2d_53.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.265981") @@ -3091,6 +3380,7 @@ class Program_weight_tensor_parameter_288: class Program_weight_tensor_parameter_289: name = "parameter_289" + original_name = "batch_norm2d_48.b_0" shape = [128] dtype = "float32" min_val = float("-0.386906") @@ -3102,6 +3392,7 @@ class Program_weight_tensor_parameter_289: class Program_weight_tensor_parameter_290: name = "parameter_290" + original_name = "batch_norm2d_48.w_0" shape = [128] dtype = "float32" min_val = float("0.0397707") @@ -3113,6 +3404,7 @@ class Program_weight_tensor_parameter_290: class Program_weight_tensor_parameter_291: name = "parameter_291" + original_name = "batch_norm2d_48.w_2" shape = [128] dtype = "float32" min_val = float("0.000750297") @@ -3124,6 +3416,7 @@ class Program_weight_tensor_parameter_291: class Program_weight_tensor_parameter_292: name = "parameter_292" + original_name = "batch_norm2d_48.w_1" shape = [128] dtype = "float32" min_val = float("-0.360292") @@ -3135,6 +3428,7 @@ class Program_weight_tensor_parameter_292: class Program_weight_tensor_parameter_293: name = "parameter_293" + original_name = "conv2d_52.w_0" shape = [128, 1, 5, 5] dtype = "float32" min_val = float("-0.207082") @@ -3146,6 +3440,7 @@ class Program_weight_tensor_parameter_293: class Program_weight_tensor_parameter_294: name = "parameter_294" + original_name = "batch_norm2d_47.b_0" shape = [128] dtype = "float32" min_val = float("-1.06345") @@ -3157,6 +3452,7 @@ class Program_weight_tensor_parameter_294: class Program_weight_tensor_parameter_295: name = "parameter_295" + original_name = "batch_norm2d_47.w_0" shape = [128] dtype = "float32" min_val = float("0.166203") @@ -3168,6 +3464,7 @@ class Program_weight_tensor_parameter_295: class Program_weight_tensor_parameter_296: name = "parameter_296" + original_name = "batch_norm2d_47.w_2" shape = [128] dtype = "float32" min_val = float("0.147874") @@ -3179,6 +3476,7 @@ class Program_weight_tensor_parameter_296: class Program_weight_tensor_parameter_297: name = "parameter_297" + original_name = "batch_norm2d_47.w_1" shape = [128] dtype = "float32" min_val = float("-0.71976") @@ -3190,6 +3488,7 @@ class Program_weight_tensor_parameter_297: class Program_weight_tensor_parameter_298: name = "parameter_298" + original_name = "conv2d_51.w_0" shape = [128, 256, 1, 1] dtype = "float32" min_val = float("-0.369323") @@ -3201,6 +3500,7 @@ class Program_weight_tensor_parameter_298: class Program_weight_tensor_parameter_299: name = "parameter_299" + original_name = "batch_norm2d_46.b_0" shape = [256] dtype = "float32" min_val = float("-0.556539") @@ -3212,6 +3512,7 @@ class Program_weight_tensor_parameter_299: class Program_weight_tensor_parameter_300: name = "parameter_300" + original_name = "batch_norm2d_46.w_0" shape = [256] dtype = "float32" min_val = float("0.585263") @@ -3223,6 +3524,7 @@ class Program_weight_tensor_parameter_300: class Program_weight_tensor_parameter_301: name = "parameter_301" + original_name = "batch_norm2d_46.w_2" shape = [256] dtype = "float32" min_val = float("0.00556262") @@ -3234,6 +3536,7 @@ class Program_weight_tensor_parameter_301: class Program_weight_tensor_parameter_302: name = "parameter_302" + original_name = "batch_norm2d_46.w_1" shape = [256] dtype = "float32" min_val = float("-0.388697") @@ -3245,6 +3548,7 @@ class Program_weight_tensor_parameter_302: class Program_weight_tensor_parameter_303: name = "parameter_303" + original_name = "conv2d_50.w_0" shape = [256, 1, 5, 5] dtype = "float32" min_val = float("-0.286656") @@ -3256,6 +3560,7 @@ class Program_weight_tensor_parameter_303: class Program_weight_tensor_parameter_304: name = "parameter_304" + original_name = "batch_norm2d_45.b_0" shape = [256] dtype = "float32" min_val = float("-1.23728") @@ -3267,6 +3572,7 @@ class Program_weight_tensor_parameter_304: class Program_weight_tensor_parameter_305: name = "parameter_305" + original_name = "batch_norm2d_45.w_0" shape = [256] dtype = "float32" min_val = float("0.578222") @@ -3278,6 +3584,7 @@ class Program_weight_tensor_parameter_305: class Program_weight_tensor_parameter_306: name = "parameter_306" + original_name = "batch_norm2d_45.w_2" shape = [256] dtype = "float32" min_val = float("0.100125") @@ -3289,6 +3596,7 @@ class Program_weight_tensor_parameter_306: class Program_weight_tensor_parameter_307: name = "parameter_307" + original_name = "batch_norm2d_45.w_1" shape = [256] dtype = "float32" min_val = float("-0.905829") @@ -3300,6 +3608,7 @@ class Program_weight_tensor_parameter_307: class Program_weight_tensor_parameter_308: name = "parameter_308" + original_name = "conv2d_49.w_0" shape = [256, 256, 1, 1] dtype = "float32" min_val = float("-0.348573") @@ -3311,6 +3620,7 @@ class Program_weight_tensor_parameter_308: class Program_weight_tensor_parameter_309: name = "parameter_309" + original_name = "batch_norm2d_44.b_0" shape = [256] dtype = "float32" min_val = float("-0.855361") @@ -3322,6 +3632,7 @@ class Program_weight_tensor_parameter_309: class Program_weight_tensor_parameter_310: name = "parameter_310" + original_name = "batch_norm2d_44.w_0" shape = [256] dtype = "float32" min_val = float("0.595033") @@ -3333,6 +3644,7 @@ class Program_weight_tensor_parameter_310: class Program_weight_tensor_parameter_311: name = "parameter_311" + original_name = "batch_norm2d_44.w_2" shape = [256] dtype = "float32" min_val = float("5.23877e-05") @@ -3344,6 +3656,7 @@ class Program_weight_tensor_parameter_311: class Program_weight_tensor_parameter_312: name = "parameter_312" + original_name = "batch_norm2d_44.w_1" shape = [256] dtype = "float32" min_val = float("-0.4645") @@ -3355,6 +3668,7 @@ class Program_weight_tensor_parameter_312: class Program_weight_tensor_parameter_313: name = "parameter_313" + original_name = "conv2d_48.w_0" shape = [256, 1, 5, 5] dtype = "float32" min_val = float("-0.419157") @@ -3366,6 +3680,7 @@ class Program_weight_tensor_parameter_313: class Program_weight_tensor_parameter_314: name = "parameter_314" + original_name = "batch_norm2d_43.b_0" shape = [128] dtype = "float32" min_val = float("-0.149677") @@ -3377,6 +3692,7 @@ class Program_weight_tensor_parameter_314: class Program_weight_tensor_parameter_315: name = "parameter_315" + original_name = "batch_norm2d_43.w_0" shape = [128] dtype = "float32" min_val = float("0.0493259") @@ -3388,6 +3704,7 @@ class Program_weight_tensor_parameter_315: class Program_weight_tensor_parameter_316: name = "parameter_316" + original_name = "batch_norm2d_43.w_2" shape = [128] dtype = "float32" min_val = float("0.00120153") @@ -3399,6 +3716,7 @@ class Program_weight_tensor_parameter_316: class Program_weight_tensor_parameter_317: name = "parameter_317" + original_name = "batch_norm2d_43.w_1" shape = [128] dtype = "float32" min_val = float("-0.0603152") @@ -3410,6 +3728,7 @@ class Program_weight_tensor_parameter_317: class Program_weight_tensor_parameter_318: name = "parameter_318" + original_name = "conv2d_47.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.30867") @@ -3421,6 +3740,7 @@ class Program_weight_tensor_parameter_318: class Program_weight_tensor_parameter_319: name = "parameter_319" + original_name = "batch_norm2d_42.b_0" shape = [128] dtype = "float32" min_val = float("-0.315068") @@ -3432,6 +3752,7 @@ class Program_weight_tensor_parameter_319: class Program_weight_tensor_parameter_320: name = "parameter_320" + original_name = "batch_norm2d_42.w_0" shape = [128] dtype = "float32" min_val = float("0.0739719") @@ -3443,6 +3764,7 @@ class Program_weight_tensor_parameter_320: class Program_weight_tensor_parameter_321: name = "parameter_321" + original_name = "batch_norm2d_42.w_2" shape = [128] dtype = "float32" min_val = float("0.000181854") @@ -3454,6 +3776,7 @@ class Program_weight_tensor_parameter_321: class Program_weight_tensor_parameter_322: name = "parameter_322" + original_name = "batch_norm2d_42.w_1" shape = [128] dtype = "float32" min_val = float("-0.328587") @@ -3465,6 +3788,7 @@ class Program_weight_tensor_parameter_322: class Program_weight_tensor_parameter_323: name = "parameter_323" + original_name = "conv2d_46.w_0" shape = [128, 1, 5, 5] dtype = "float32" min_val = float("-0.291963") @@ -3476,6 +3800,7 @@ class Program_weight_tensor_parameter_323: class Program_weight_tensor_parameter_324: name = "parameter_324" + original_name = "batch_norm2d_41.b_0" shape = [128] dtype = "float32" min_val = float("-1.67201") @@ -3487,6 +3812,7 @@ class Program_weight_tensor_parameter_324: class Program_weight_tensor_parameter_325: name = "parameter_325" + original_name = "batch_norm2d_41.w_0" shape = [128] dtype = "float32" min_val = float("0.122652") @@ -3498,6 +3824,7 @@ class Program_weight_tensor_parameter_325: class Program_weight_tensor_parameter_326: name = "parameter_326" + original_name = "batch_norm2d_41.w_2" shape = [128] dtype = "float32" min_val = float("0.126209") @@ -3509,6 +3836,7 @@ class Program_weight_tensor_parameter_326: class Program_weight_tensor_parameter_327: name = "parameter_327" + original_name = "batch_norm2d_41.w_1" shape = [128] dtype = "float32" min_val = float("-0.932374") @@ -3520,6 +3848,7 @@ class Program_weight_tensor_parameter_327: class Program_weight_tensor_parameter_328: name = "parameter_328" + original_name = "conv2d_45.w_0" shape = [128, 256, 1, 1] dtype = "float32" min_val = float("-0.493607") @@ -3531,6 +3860,7 @@ class Program_weight_tensor_parameter_328: class Program_weight_tensor_parameter_329: name = "parameter_329" + original_name = "batch_norm2d_40.b_0" shape = [256] dtype = "float32" min_val = float("-1.13752") @@ -3542,6 +3872,7 @@ class Program_weight_tensor_parameter_329: class Program_weight_tensor_parameter_330: name = "parameter_330" + original_name = "batch_norm2d_40.w_0" shape = [256] dtype = "float32" min_val = float("0.407395") @@ -3553,6 +3884,7 @@ class Program_weight_tensor_parameter_330: class Program_weight_tensor_parameter_331: name = "parameter_331" + original_name = "batch_norm2d_40.w_2" shape = [256] dtype = "float32" min_val = float("0.000171895") @@ -3564,6 +3896,7 @@ class Program_weight_tensor_parameter_331: class Program_weight_tensor_parameter_332: name = "parameter_332" + original_name = "batch_norm2d_40.w_1" shape = [256] dtype = "float32" min_val = float("-0.492815") @@ -3575,6 +3908,7 @@ class Program_weight_tensor_parameter_332: class Program_weight_tensor_parameter_333: name = "parameter_333" + original_name = "conv2d_44.w_0" shape = [256, 1, 5, 5] dtype = "float32" min_val = float("-0.452579") @@ -3586,6 +3920,7 @@ class Program_weight_tensor_parameter_333: class Program_weight_tensor_parameter_334: name = "parameter_334" + original_name = "batch_norm2d_39.b_0" shape = [256] dtype = "float32" min_val = float("-1.74295") @@ -3597,6 +3932,7 @@ class Program_weight_tensor_parameter_334: class Program_weight_tensor_parameter_335: name = "parameter_335" + original_name = "batch_norm2d_39.w_0" shape = [256] dtype = "float32" min_val = float("0.0400784") @@ -3608,6 +3944,7 @@ class Program_weight_tensor_parameter_335: class Program_weight_tensor_parameter_336: name = "parameter_336" + original_name = "batch_norm2d_39.w_2" shape = [256] dtype = "float32" min_val = float("0.205377") @@ -3619,6 +3956,7 @@ class Program_weight_tensor_parameter_336: class Program_weight_tensor_parameter_337: name = "parameter_337" + original_name = "batch_norm2d_39.w_1" shape = [256] dtype = "float32" min_val = float("-1.76364") @@ -3630,6 +3968,7 @@ class Program_weight_tensor_parameter_337: class Program_weight_tensor_parameter_338: name = "parameter_338" + original_name = "conv2d_43.w_0" shape = [256, 256, 1, 1] dtype = "float32" min_val = float("-0.384741") @@ -3641,6 +3980,7 @@ class Program_weight_tensor_parameter_338: class Program_weight_tensor_parameter_339: name = "parameter_339" + original_name = "batch_norm2d_38.b_0" shape = [256] dtype = "float32" min_val = float("-0.783536") @@ -3652,6 +3992,7 @@ class Program_weight_tensor_parameter_339: class Program_weight_tensor_parameter_340: name = "parameter_340" + original_name = "batch_norm2d_38.w_0" shape = [256] dtype = "float32" min_val = float("0.558621") @@ -3663,6 +4004,7 @@ class Program_weight_tensor_parameter_340: class Program_weight_tensor_parameter_341: name = "parameter_341" + original_name = "batch_norm2d_38.w_2" shape = [256] dtype = "float32" min_val = float("8.7599e-05") @@ -3674,6 +4016,7 @@ class Program_weight_tensor_parameter_341: class Program_weight_tensor_parameter_342: name = "parameter_342" + original_name = "batch_norm2d_38.w_1" shape = [256] dtype = "float32" min_val = float("-0.759114") @@ -3685,6 +4028,7 @@ class Program_weight_tensor_parameter_342: class Program_weight_tensor_parameter_343: name = "parameter_343" + original_name = "conv2d_42.w_0" shape = [256, 1, 5, 5] dtype = "float32" min_val = float("-0.593109") @@ -3696,6 +4040,7 @@ class Program_weight_tensor_parameter_343: class Program_weight_tensor_parameter_344: name = "parameter_344" + original_name = "batch_norm2d_37.b_0" shape = [128] dtype = "float32" min_val = float("-0.679424") @@ -3707,6 +4052,7 @@ class Program_weight_tensor_parameter_344: class Program_weight_tensor_parameter_345: name = "parameter_345" + original_name = "batch_norm2d_37.w_0" shape = [128] dtype = "float32" min_val = float("0.177261") @@ -3718,6 +4064,7 @@ class Program_weight_tensor_parameter_345: class Program_weight_tensor_parameter_346: name = "parameter_346" + original_name = "batch_norm2d_37.w_2" shape = [128] dtype = "float32" min_val = float("0.312262") @@ -3729,6 +4076,7 @@ class Program_weight_tensor_parameter_346: class Program_weight_tensor_parameter_347: name = "parameter_347" + original_name = "batch_norm2d_37.w_1" shape = [128] dtype = "float32" min_val = float("-1.23097") @@ -3740,6 +4088,7 @@ class Program_weight_tensor_parameter_347: class Program_weight_tensor_parameter_348: name = "parameter_348" + original_name = "conv2d_41.w_0" shape = [128, 256, 1, 1] dtype = "float32" min_val = float("-0.388094") @@ -3751,6 +4100,7 @@ class Program_weight_tensor_parameter_348: class Program_weight_tensor_parameter_349: name = "parameter_349" + original_name = "batch_norm2d_36.b_0" shape = [256] dtype = "float32" min_val = float("-1.00128") @@ -3762,6 +4112,7 @@ class Program_weight_tensor_parameter_349: class Program_weight_tensor_parameter_350: name = "parameter_350" + original_name = "batch_norm2d_36.w_0" shape = [256] dtype = "float32" min_val = float("0.604189") @@ -3773,6 +4124,7 @@ class Program_weight_tensor_parameter_350: class Program_weight_tensor_parameter_351: name = "parameter_351" + original_name = "batch_norm2d_36.w_2" shape = [256] dtype = "float32" min_val = float("0.00206914") @@ -3784,6 +4136,7 @@ class Program_weight_tensor_parameter_351: class Program_weight_tensor_parameter_352: name = "parameter_352" + original_name = "batch_norm2d_36.w_1" shape = [256] dtype = "float32" min_val = float("-0.296579") @@ -3795,6 +4148,7 @@ class Program_weight_tensor_parameter_352: class Program_weight_tensor_parameter_353: name = "parameter_353" + original_name = "conv2d_40.w_0" shape = [256, 1, 5, 5] dtype = "float32" min_val = float("-0.45824") @@ -3806,6 +4160,7 @@ class Program_weight_tensor_parameter_353: class Program_weight_tensor_parameter_354: name = "parameter_354" + original_name = "batch_norm2d_35.b_0" shape = [256] dtype = "float32" min_val = float("-1.22215") @@ -3817,6 +4172,7 @@ class Program_weight_tensor_parameter_354: class Program_weight_tensor_parameter_355: name = "parameter_355" + original_name = "batch_norm2d_35.w_0" shape = [256] dtype = "float32" min_val = float("0.203543") @@ -3828,6 +4184,7 @@ class Program_weight_tensor_parameter_355: class Program_weight_tensor_parameter_356: name = "parameter_356" + original_name = "batch_norm2d_35.w_2" shape = [256] dtype = "float32" min_val = float("0.25957") @@ -3839,6 +4196,7 @@ class Program_weight_tensor_parameter_356: class Program_weight_tensor_parameter_357: name = "parameter_357" + original_name = "batch_norm2d_35.w_1" shape = [256] dtype = "float32" min_val = float("-2.28364") @@ -3850,6 +4208,7 @@ class Program_weight_tensor_parameter_357: class Program_weight_tensor_parameter_358: name = "parameter_358" + original_name = "conv2d_39.w_0" shape = [256, 256, 1, 1] dtype = "float32" min_val = float("-0.50966") @@ -3861,6 +4220,7 @@ class Program_weight_tensor_parameter_358: class Program_weight_tensor_parameter_359: name = "parameter_359" + original_name = "batch_norm2d_34.b_0" shape = [256] dtype = "float32" min_val = float("-0.963958") @@ -3872,6 +4232,7 @@ class Program_weight_tensor_parameter_359: class Program_weight_tensor_parameter_360: name = "parameter_360" + original_name = "batch_norm2d_34.w_0" shape = [256] dtype = "float32" min_val = float("0.803165") @@ -3883,6 +4244,7 @@ class Program_weight_tensor_parameter_360: class Program_weight_tensor_parameter_361: name = "parameter_361" + original_name = "batch_norm2d_34.w_2" shape = [256] dtype = "float32" min_val = float("8.96439e-05") @@ -3894,6 +4256,7 @@ class Program_weight_tensor_parameter_361: class Program_weight_tensor_parameter_362: name = "parameter_362" + original_name = "batch_norm2d_34.w_1" shape = [256] dtype = "float32" min_val = float("-0.0580273") @@ -3905,6 +4268,7 @@ class Program_weight_tensor_parameter_362: class Program_weight_tensor_parameter_363: name = "parameter_363" + original_name = "conv2d_38.w_0" shape = [256, 1, 5, 5] dtype = "float32" min_val = float("-0.450586") @@ -3916,6 +4280,7 @@ class Program_weight_tensor_parameter_363: class Program_weight_tensor_parameter_364: name = "parameter_364" + original_name = "batch_norm2d_29.b_0" shape = [128] dtype = "float32" min_val = float("-0.192956") @@ -3927,6 +4292,7 @@ class Program_weight_tensor_parameter_364: class Program_weight_tensor_parameter_365: name = "parameter_365" + original_name = "batch_norm2d_29.w_0" shape = [128] dtype = "float32" min_val = float("0.0601437") @@ -3938,6 +4304,7 @@ class Program_weight_tensor_parameter_365: class Program_weight_tensor_parameter_366: name = "parameter_366" + original_name = "batch_norm2d_29.w_2" shape = [128] dtype = "float32" min_val = float("1.97282") @@ -3949,6 +4316,7 @@ class Program_weight_tensor_parameter_366: class Program_weight_tensor_parameter_367: name = "parameter_367" + original_name = "batch_norm2d_29.w_1" shape = [128] dtype = "float32" min_val = float("-1.95254") @@ -3960,6 +4328,7 @@ class Program_weight_tensor_parameter_367: class Program_weight_tensor_parameter_368: name = "parameter_368" + original_name = "conv2d_33.w_0" shape = [128, 768, 1, 1] dtype = "float32" min_val = float("-0.210411") @@ -3971,6 +4340,7 @@ class Program_weight_tensor_parameter_368: class Program_weight_tensor_parameter_369: name = "parameter_369" + original_name = "batch_norm2d_28.b_0" shape = [128] dtype = "float32" min_val = float("-0.0635894") @@ -3982,6 +4352,7 @@ class Program_weight_tensor_parameter_369: class Program_weight_tensor_parameter_370: name = "parameter_370" + original_name = "batch_norm2d_28.w_0" shape = [128] dtype = "float32" min_val = float("0.0480673") @@ -3993,6 +4364,7 @@ class Program_weight_tensor_parameter_370: class Program_weight_tensor_parameter_371: name = "parameter_371" + original_name = "batch_norm2d_28.w_2" shape = [128] dtype = "float32" min_val = float("0.0430946") @@ -4004,6 +4376,7 @@ class Program_weight_tensor_parameter_371: class Program_weight_tensor_parameter_372: name = "parameter_372" + original_name = "batch_norm2d_28.w_1" shape = [128] dtype = "float32" min_val = float("-0.532616") @@ -4015,6 +4388,7 @@ class Program_weight_tensor_parameter_372: class Program_weight_tensor_parameter_373: name = "parameter_373" + original_name = "conv2d_32.w_0" shape = [128, 384, 1, 1] dtype = "float32" min_val = float("-0.168313") @@ -4026,6 +4400,7 @@ class Program_weight_tensor_parameter_373: class Program_weight_tensor_parameter_374: name = "parameter_374" + original_name = "batch_norm2d_27.b_0" shape = [128] dtype = "float32" min_val = float("-0.120563") @@ -4037,6 +4412,7 @@ class Program_weight_tensor_parameter_374: class Program_weight_tensor_parameter_375: name = "parameter_375" + original_name = "batch_norm2d_27.w_0" shape = [128] dtype = "float32" min_val = float("0.0449625") @@ -4048,6 +4424,7 @@ class Program_weight_tensor_parameter_375: class Program_weight_tensor_parameter_376: name = "parameter_376" + original_name = "batch_norm2d_27.w_2" shape = [128] dtype = "float32" min_val = float("0.0302137") @@ -4059,6 +4436,7 @@ class Program_weight_tensor_parameter_376: class Program_weight_tensor_parameter_377: name = "parameter_377" + original_name = "batch_norm2d_27.w_1" shape = [128] dtype = "float32" min_val = float("-0.720491") @@ -4070,6 +4448,7 @@ class Program_weight_tensor_parameter_377: class Program_weight_tensor_parameter_378: name = "parameter_378" + original_name = "conv2d_31.w_0" shape = [128, 192, 1, 1] dtype = "float32" min_val = float("-0.554446") @@ -4081,6 +4460,7 @@ class Program_weight_tensor_parameter_378: class Program_weight_tensor_parameter_379: name = "parameter_379" + original_name = "batch_norm2d_26.b_0" shape = [768] dtype = "float32" min_val = float("-5.13552") @@ -4092,6 +4472,7 @@ class Program_weight_tensor_parameter_379: class Program_weight_tensor_parameter_380: name = "parameter_380" + original_name = "batch_norm2d_26.w_0" shape = [768] dtype = "float32" min_val = float("1.95051") @@ -4103,6 +4484,7 @@ class Program_weight_tensor_parameter_380: class Program_weight_tensor_parameter_381: name = "parameter_381" + original_name = "batch_norm2d_26.w_2" shape = [768] dtype = "float32" min_val = float("0.0674532") @@ -4114,6 +4496,7 @@ class Program_weight_tensor_parameter_381: class Program_weight_tensor_parameter_382: name = "parameter_382" + original_name = "batch_norm2d_26.w_1" shape = [768] dtype = "float32" min_val = float("-0.641825") @@ -4125,6 +4508,7 @@ class Program_weight_tensor_parameter_382: class Program_weight_tensor_parameter_383: name = "parameter_383" + original_name = "conv2d_30.w_0" shape = [768, 768, 1, 1] dtype = "float32" min_val = float("-0.253374") @@ -4136,6 +4520,7 @@ class Program_weight_tensor_parameter_383: class Program_weight_tensor_parameter_384: name = "parameter_384" + original_name = "conv2d_29.b_0" shape = [768] dtype = "float32" min_val = float("-0.0917331") @@ -4147,6 +4532,7 @@ class Program_weight_tensor_parameter_384: class Program_weight_tensor_parameter_385: name = "parameter_385" + original_name = "conv2d_29.w_0" shape = [768, 192, 1, 1] dtype = "float32" min_val = float("-0.326777") @@ -4158,6 +4544,7 @@ class Program_weight_tensor_parameter_385: class Program_weight_tensor_parameter_386: name = "parameter_386" + original_name = "conv2d_28.b_0" shape = [192] dtype = "float32" min_val = float("-0.013977") @@ -4169,6 +4556,7 @@ class Program_weight_tensor_parameter_386: class Program_weight_tensor_parameter_387: name = "parameter_387" + original_name = "conv2d_28.w_0" shape = [192, 768, 1, 1] dtype = "float32" min_val = float("-0.312492") @@ -4180,6 +4568,7 @@ class Program_weight_tensor_parameter_387: class Program_weight_tensor_parameter_388: name = "parameter_388" + original_name = "batch_norm2d_25.b_0" shape = [768] dtype = "float32" min_val = float("-5.55032") @@ -4191,6 +4580,7 @@ class Program_weight_tensor_parameter_388: class Program_weight_tensor_parameter_389: name = "parameter_389" + original_name = "batch_norm2d_25.w_0" shape = [768] dtype = "float32" min_val = float("0.406812") @@ -4202,6 +4592,7 @@ class Program_weight_tensor_parameter_389: class Program_weight_tensor_parameter_390: name = "parameter_390" + original_name = "batch_norm2d_25.w_2" shape = [768] dtype = "float32" min_val = float("0.000137316") @@ -4213,6 +4604,7 @@ class Program_weight_tensor_parameter_390: class Program_weight_tensor_parameter_391: name = "parameter_391" + original_name = "batch_norm2d_25.w_1" shape = [768] dtype = "float32" min_val = float("-0.950195") @@ -4224,6 +4616,7 @@ class Program_weight_tensor_parameter_391: class Program_weight_tensor_parameter_392: name = "parameter_392" + original_name = "conv2d_27.w_0" shape = [768, 1, 5, 5] dtype = "float32" min_val = float("-0.524245") @@ -4235,6 +4628,7 @@ class Program_weight_tensor_parameter_392: class Program_weight_tensor_parameter_393: name = "parameter_393" + original_name = "batch_norm2d_24.b_0" shape = [768] dtype = "float32" min_val = float("-2.53075") @@ -4246,6 +4640,7 @@ class Program_weight_tensor_parameter_393: class Program_weight_tensor_parameter_394: name = "parameter_394" + original_name = "batch_norm2d_24.w_0" shape = [768] dtype = "float32" min_val = float("-1.30233") @@ -4257,6 +4652,7 @@ class Program_weight_tensor_parameter_394: class Program_weight_tensor_parameter_395: name = "parameter_395" + original_name = "batch_norm2d_24.w_2" shape = [768] dtype = "float32" min_val = float("0.0818677") @@ -4268,6 +4664,7 @@ class Program_weight_tensor_parameter_395: class Program_weight_tensor_parameter_396: name = "parameter_396" + original_name = "batch_norm2d_24.w_1" shape = [768] dtype = "float32" min_val = float("-1.14124") @@ -4279,6 +4676,7 @@ class Program_weight_tensor_parameter_396: class Program_weight_tensor_parameter_397: name = "parameter_397" + original_name = "conv2d_26.w_0" shape = [768, 384, 1, 1] dtype = "float32" min_val = float("-0.727307") @@ -4290,6 +4688,7 @@ class Program_weight_tensor_parameter_397: class Program_weight_tensor_parameter_398: name = "parameter_398" + original_name = "conv2d_25.b_0" shape = [384] dtype = "float32" min_val = float("-0.110125") @@ -4301,6 +4700,7 @@ class Program_weight_tensor_parameter_398: class Program_weight_tensor_parameter_399: name = "parameter_399" + original_name = "conv2d_25.w_0" shape = [384, 96, 1, 1] dtype = "float32" min_val = float("-0.306098") @@ -4312,6 +4712,7 @@ class Program_weight_tensor_parameter_399: class Program_weight_tensor_parameter_400: name = "parameter_400" + original_name = "conv2d_24.b_0" shape = [96] dtype = "float32" min_val = float("-0.0037569") @@ -4323,6 +4724,7 @@ class Program_weight_tensor_parameter_400: class Program_weight_tensor_parameter_401: name = "parameter_401" + original_name = "conv2d_24.w_0" shape = [96, 384, 1, 1] dtype = "float32" min_val = float("-0.311782") @@ -4334,6 +4736,7 @@ class Program_weight_tensor_parameter_401: class Program_weight_tensor_parameter_402: name = "parameter_402" + original_name = "batch_norm2d_23.b_0" shape = [384] dtype = "float32" min_val = float("-1.65094") @@ -4345,6 +4748,7 @@ class Program_weight_tensor_parameter_402: class Program_weight_tensor_parameter_403: name = "parameter_403" + original_name = "batch_norm2d_23.w_0" shape = [384] dtype = "float32" min_val = float("0.686309") @@ -4356,6 +4760,7 @@ class Program_weight_tensor_parameter_403: class Program_weight_tensor_parameter_404: name = "parameter_404" + original_name = "batch_norm2d_23.w_2" shape = [384] dtype = "float32" min_val = float("0.000181782") @@ -4367,6 +4772,7 @@ class Program_weight_tensor_parameter_404: class Program_weight_tensor_parameter_405: name = "parameter_405" + original_name = "batch_norm2d_23.w_1" shape = [384] dtype = "float32" min_val = float("-1.43705") @@ -4378,6 +4784,7 @@ class Program_weight_tensor_parameter_405: class Program_weight_tensor_parameter_406: name = "parameter_406" + original_name = "conv2d_23.w_0" shape = [384, 1, 5, 5] dtype = "float32" min_val = float("-0.242781") @@ -4389,6 +4796,7 @@ class Program_weight_tensor_parameter_406: class Program_weight_tensor_parameter_407: name = "parameter_407" + original_name = "batch_norm2d_22.b_0" shape = [384] dtype = "float32" min_val = float("-2.76092") @@ -4400,6 +4808,7 @@ class Program_weight_tensor_parameter_407: class Program_weight_tensor_parameter_408: name = "parameter_408" + original_name = "batch_norm2d_22.w_0" shape = [384] dtype = "float32" min_val = float("-0.965177") @@ -4411,6 +4820,7 @@ class Program_weight_tensor_parameter_408: class Program_weight_tensor_parameter_409: name = "parameter_409" + original_name = "batch_norm2d_22.w_2" shape = [384] dtype = "float32" min_val = float("0.545222") @@ -4422,6 +4832,7 @@ class Program_weight_tensor_parameter_409: class Program_weight_tensor_parameter_410: name = "parameter_410" + original_name = "batch_norm2d_22.w_1" shape = [384] dtype = "float32" min_val = float("-5.88732") @@ -4433,6 +4844,7 @@ class Program_weight_tensor_parameter_410: class Program_weight_tensor_parameter_411: name = "parameter_411" + original_name = "conv2d_22.w_0" shape = [384, 384, 1, 1] dtype = "float32" min_val = float("-0.873806") @@ -4444,6 +4856,7 @@ class Program_weight_tensor_parameter_411: class Program_weight_tensor_parameter_412: name = "parameter_412" + original_name = "batch_norm2d_21.b_0" shape = [384] dtype = "float32" min_val = float("-3.48952") @@ -4455,6 +4868,7 @@ class Program_weight_tensor_parameter_412: class Program_weight_tensor_parameter_413: name = "parameter_413" + original_name = "batch_norm2d_21.w_0" shape = [384] dtype = "float32" min_val = float("0.492558") @@ -4466,6 +4880,7 @@ class Program_weight_tensor_parameter_413: class Program_weight_tensor_parameter_414: name = "parameter_414" + original_name = "batch_norm2d_21.w_2" shape = [384] dtype = "float32" min_val = float("0.000326886") @@ -4477,6 +4892,7 @@ class Program_weight_tensor_parameter_414: class Program_weight_tensor_parameter_415: name = "parameter_415" + original_name = "batch_norm2d_21.w_1" shape = [384] dtype = "float32" min_val = float("-1.59459") @@ -4488,6 +4904,7 @@ class Program_weight_tensor_parameter_415: class Program_weight_tensor_parameter_416: name = "parameter_416" + original_name = "conv2d_21.w_0" shape = [384, 1, 5, 5] dtype = "float32" min_val = float("-0.669919") @@ -4499,6 +4916,7 @@ class Program_weight_tensor_parameter_416: class Program_weight_tensor_parameter_417: name = "parameter_417" + original_name = "batch_norm2d_20.b_0" shape = [384] dtype = "float32" min_val = float("-2.19373") @@ -4510,6 +4928,7 @@ class Program_weight_tensor_parameter_417: class Program_weight_tensor_parameter_418: name = "parameter_418" + original_name = "batch_norm2d_20.w_0" shape = [384] dtype = "float32" min_val = float("-0.223286") @@ -4521,6 +4940,7 @@ class Program_weight_tensor_parameter_418: class Program_weight_tensor_parameter_419: name = "parameter_419" + original_name = "batch_norm2d_20.w_2" shape = [384] dtype = "float32" min_val = float("0.47444") @@ -4532,6 +4952,7 @@ class Program_weight_tensor_parameter_419: class Program_weight_tensor_parameter_420: name = "parameter_420" + original_name = "batch_norm2d_20.w_1" shape = [384] dtype = "float32" min_val = float("-3.8311") @@ -4543,6 +4964,7 @@ class Program_weight_tensor_parameter_420: class Program_weight_tensor_parameter_421: name = "parameter_421" + original_name = "conv2d_20.w_0" shape = [384, 384, 1, 1] dtype = "float32" min_val = float("-0.456584") @@ -4554,6 +4976,7 @@ class Program_weight_tensor_parameter_421: class Program_weight_tensor_parameter_422: name = "parameter_422" + original_name = "batch_norm2d_19.b_0" shape = [384] dtype = "float32" min_val = float("-4.16434") @@ -4565,6 +4988,7 @@ class Program_weight_tensor_parameter_422: class Program_weight_tensor_parameter_423: name = "parameter_423" + original_name = "batch_norm2d_19.w_0" shape = [384] dtype = "float32" min_val = float("0.466564") @@ -4576,6 +5000,7 @@ class Program_weight_tensor_parameter_423: class Program_weight_tensor_parameter_424: name = "parameter_424" + original_name = "batch_norm2d_19.w_2" shape = [384] dtype = "float32" min_val = float("0.00022856") @@ -4587,6 +5012,7 @@ class Program_weight_tensor_parameter_424: class Program_weight_tensor_parameter_425: name = "parameter_425" + original_name = "batch_norm2d_19.w_1" shape = [384] dtype = "float32" min_val = float("-5.05944") @@ -4598,6 +5024,7 @@ class Program_weight_tensor_parameter_425: class Program_weight_tensor_parameter_426: name = "parameter_426" + original_name = "conv2d_19.w_0" shape = [384, 1, 5, 5] dtype = "float32" min_val = float("-0.735819") @@ -4609,6 +5036,7 @@ class Program_weight_tensor_parameter_426: class Program_weight_tensor_parameter_427: name = "parameter_427" + original_name = "batch_norm2d_18.b_0" shape = [384] dtype = "float32" min_val = float("-2.46506") @@ -4620,6 +5048,7 @@ class Program_weight_tensor_parameter_427: class Program_weight_tensor_parameter_428: name = "parameter_428" + original_name = "batch_norm2d_18.w_0" shape = [384] dtype = "float32" min_val = float("-0.415135") @@ -4631,6 +5060,7 @@ class Program_weight_tensor_parameter_428: class Program_weight_tensor_parameter_429: name = "parameter_429" + original_name = "batch_norm2d_18.w_2" shape = [384] dtype = "float32" min_val = float("0.33377") @@ -4642,6 +5072,7 @@ class Program_weight_tensor_parameter_429: class Program_weight_tensor_parameter_430: name = "parameter_430" + original_name = "batch_norm2d_18.w_1" shape = [384] dtype = "float32" min_val = float("-3.24626") @@ -4653,6 +5084,7 @@ class Program_weight_tensor_parameter_430: class Program_weight_tensor_parameter_431: name = "parameter_431" + original_name = "conv2d_18.w_0" shape = [384, 384, 1, 1] dtype = "float32" min_val = float("-0.634735") @@ -4664,6 +5096,7 @@ class Program_weight_tensor_parameter_431: class Program_weight_tensor_parameter_432: name = "parameter_432" + original_name = "batch_norm2d_17.b_0" shape = [384] dtype = "float32" min_val = float("-4.52697") @@ -4675,6 +5108,7 @@ class Program_weight_tensor_parameter_432: class Program_weight_tensor_parameter_433: name = "parameter_433" + original_name = "batch_norm2d_17.w_0" shape = [384] dtype = "float32" min_val = float("0.47464") @@ -4686,6 +5120,7 @@ class Program_weight_tensor_parameter_433: class Program_weight_tensor_parameter_434: name = "parameter_434" + original_name = "batch_norm2d_17.w_2" shape = [384] dtype = "float32" min_val = float("0.000206609") @@ -4697,6 +5132,7 @@ class Program_weight_tensor_parameter_434: class Program_weight_tensor_parameter_435: name = "parameter_435" + original_name = "batch_norm2d_17.w_1" shape = [384] dtype = "float32" min_val = float("-3.99282") @@ -4708,6 +5144,7 @@ class Program_weight_tensor_parameter_435: class Program_weight_tensor_parameter_436: name = "parameter_436" + original_name = "conv2d_17.w_0" shape = [384, 1, 5, 5] dtype = "float32" min_val = float("-0.622473") @@ -4719,6 +5156,7 @@ class Program_weight_tensor_parameter_436: class Program_weight_tensor_parameter_437: name = "parameter_437" + original_name = "batch_norm2d_16.b_0" shape = [384] dtype = "float32" min_val = float("-2.92298") @@ -4730,6 +5168,7 @@ class Program_weight_tensor_parameter_437: class Program_weight_tensor_parameter_438: name = "parameter_438" + original_name = "batch_norm2d_16.w_0" shape = [384] dtype = "float32" min_val = float("-0.0963202") @@ -4741,6 +5180,7 @@ class Program_weight_tensor_parameter_438: class Program_weight_tensor_parameter_439: name = "parameter_439" + original_name = "batch_norm2d_16.w_2" shape = [384] dtype = "float32" min_val = float("0.378212") @@ -4752,6 +5192,7 @@ class Program_weight_tensor_parameter_439: class Program_weight_tensor_parameter_440: name = "parameter_440" + original_name = "batch_norm2d_16.w_1" shape = [384] dtype = "float32" min_val = float("-4.31477") @@ -4763,6 +5204,7 @@ class Program_weight_tensor_parameter_440: class Program_weight_tensor_parameter_441: name = "parameter_441" + original_name = "conv2d_16.w_0" shape = [384, 384, 1, 1] dtype = "float32" min_val = float("-0.563475") @@ -4774,6 +5216,7 @@ class Program_weight_tensor_parameter_441: class Program_weight_tensor_parameter_442: name = "parameter_442" + original_name = "batch_norm2d_15.b_0" shape = [384] dtype = "float32" min_val = float("-2.7459") @@ -4785,6 +5228,7 @@ class Program_weight_tensor_parameter_442: class Program_weight_tensor_parameter_443: name = "parameter_443" + original_name = "batch_norm2d_15.w_0" shape = [384] dtype = "float32" min_val = float("0.475796") @@ -4796,6 +5240,7 @@ class Program_weight_tensor_parameter_443: class Program_weight_tensor_parameter_444: name = "parameter_444" + original_name = "batch_norm2d_15.w_2" shape = [384] dtype = "float32" min_val = float("0.000194028") @@ -4807,6 +5252,7 @@ class Program_weight_tensor_parameter_444: class Program_weight_tensor_parameter_445: name = "parameter_445" + original_name = "batch_norm2d_15.w_1" shape = [384] dtype = "float32" min_val = float("-4.40324") @@ -4818,6 +5264,7 @@ class Program_weight_tensor_parameter_445: class Program_weight_tensor_parameter_446: name = "parameter_446" + original_name = "conv2d_15.w_0" shape = [384, 1, 5, 5] dtype = "float32" min_val = float("-0.663897") @@ -4829,6 +5276,7 @@ class Program_weight_tensor_parameter_446: class Program_weight_tensor_parameter_447: name = "parameter_447" + original_name = "batch_norm2d_14.b_0" shape = [384] dtype = "float32" min_val = float("-3.23973") @@ -4840,6 +5288,7 @@ class Program_weight_tensor_parameter_447: class Program_weight_tensor_parameter_448: name = "parameter_448" + original_name = "batch_norm2d_14.w_0" shape = [384] dtype = "float32" min_val = float("-0.198052") @@ -4851,6 +5300,7 @@ class Program_weight_tensor_parameter_448: class Program_weight_tensor_parameter_449: name = "parameter_449" + original_name = "batch_norm2d_14.w_2" shape = [384] dtype = "float32" min_val = float("0.382466") @@ -4862,6 +5312,7 @@ class Program_weight_tensor_parameter_449: class Program_weight_tensor_parameter_450: name = "parameter_450" + original_name = "batch_norm2d_14.w_1" shape = [384] dtype = "float32" min_val = float("-3.28565") @@ -4873,6 +5324,7 @@ class Program_weight_tensor_parameter_450: class Program_weight_tensor_parameter_451: name = "parameter_451" + original_name = "conv2d_14.w_0" shape = [384, 384, 1, 1] dtype = "float32" min_val = float("-0.680193") @@ -4884,6 +5336,7 @@ class Program_weight_tensor_parameter_451: class Program_weight_tensor_parameter_452: name = "parameter_452" + original_name = "batch_norm2d_13.b_0" shape = [384] dtype = "float32" min_val = float("-4.65754") @@ -4895,6 +5348,7 @@ class Program_weight_tensor_parameter_452: class Program_weight_tensor_parameter_453: name = "parameter_453" + original_name = "batch_norm2d_13.w_0" shape = [384] dtype = "float32" min_val = float("0.466168") @@ -4906,6 +5360,7 @@ class Program_weight_tensor_parameter_453: class Program_weight_tensor_parameter_454: name = "parameter_454" + original_name = "batch_norm2d_13.w_2" shape = [384] dtype = "float32" min_val = float("0.000171944") @@ -4917,6 +5372,7 @@ class Program_weight_tensor_parameter_454: class Program_weight_tensor_parameter_455: name = "parameter_455" + original_name = "batch_norm2d_13.w_1" shape = [384] dtype = "float32" min_val = float("-4.6669") @@ -4928,6 +5384,7 @@ class Program_weight_tensor_parameter_455: class Program_weight_tensor_parameter_456: name = "parameter_456" + original_name = "conv2d_13.w_0" shape = [384, 1, 5, 5] dtype = "float32" min_val = float("-0.80168") @@ -4939,6 +5396,7 @@ class Program_weight_tensor_parameter_456: class Program_weight_tensor_parameter_457: name = "parameter_457" + original_name = "batch_norm2d_12.b_0" shape = [384] dtype = "float32" min_val = float("-2.3612") @@ -4950,6 +5408,7 @@ class Program_weight_tensor_parameter_457: class Program_weight_tensor_parameter_458: name = "parameter_458" + original_name = "batch_norm2d_12.w_0" shape = [384] dtype = "float32" min_val = float("-0.122134") @@ -4961,6 +5420,7 @@ class Program_weight_tensor_parameter_458: class Program_weight_tensor_parameter_459: name = "parameter_459" + original_name = "batch_norm2d_12.w_2" shape = [384] dtype = "float32" min_val = float("0.177016") @@ -4972,6 +5432,7 @@ class Program_weight_tensor_parameter_459: class Program_weight_tensor_parameter_460: name = "parameter_460" + original_name = "batch_norm2d_12.w_1" shape = [384] dtype = "float32" min_val = float("-6.05383") @@ -4983,6 +5444,7 @@ class Program_weight_tensor_parameter_460: class Program_weight_tensor_parameter_461: name = "parameter_461" + original_name = "conv2d_12.w_0" shape = [384, 192, 1, 1] dtype = "float32" min_val = float("-0.723431") @@ -4994,6 +5456,7 @@ class Program_weight_tensor_parameter_461: class Program_weight_tensor_parameter_462: name = "parameter_462" + original_name = "batch_norm2d_11.b_0" shape = [192] dtype = "float32" min_val = float("-4.38957") @@ -5005,6 +5468,7 @@ class Program_weight_tensor_parameter_462: class Program_weight_tensor_parameter_463: name = "parameter_463" + original_name = "batch_norm2d_11.w_0" shape = [192] dtype = "float32" min_val = float("0.376604") @@ -5016,6 +5480,7 @@ class Program_weight_tensor_parameter_463: class Program_weight_tensor_parameter_464: name = "parameter_464" + original_name = "batch_norm2d_11.w_2" shape = [192] dtype = "float32" min_val = float("0.000829851") @@ -5027,6 +5492,7 @@ class Program_weight_tensor_parameter_464: class Program_weight_tensor_parameter_465: name = "parameter_465" + original_name = "batch_norm2d_11.w_1" shape = [192] dtype = "float32" min_val = float("-1.82033") @@ -5038,6 +5504,7 @@ class Program_weight_tensor_parameter_465: class Program_weight_tensor_parameter_466: name = "parameter_466" + original_name = "conv2d_11.w_0" shape = [192, 1, 3, 3] dtype = "float32" min_val = float("-0.273656") @@ -5049,6 +5516,7 @@ class Program_weight_tensor_parameter_466: class Program_weight_tensor_parameter_467: name = "parameter_467" + original_name = "batch_norm2d_10.b_0" shape = [192] dtype = "float32" min_val = float("-2.4084") @@ -5060,6 +5528,7 @@ class Program_weight_tensor_parameter_467: class Program_weight_tensor_parameter_468: name = "parameter_468" + original_name = "batch_norm2d_10.w_0" shape = [192] dtype = "float32" min_val = float("0.213934") @@ -5071,6 +5540,7 @@ class Program_weight_tensor_parameter_468: class Program_weight_tensor_parameter_469: name = "parameter_469" + original_name = "batch_norm2d_10.w_2" shape = [192] dtype = "float32" min_val = float("0.447297") @@ -5082,6 +5552,7 @@ class Program_weight_tensor_parameter_469: class Program_weight_tensor_parameter_470: name = "parameter_470" + original_name = "batch_norm2d_10.w_1" shape = [192] dtype = "float32" min_val = float("-6.67949") @@ -5093,6 +5564,7 @@ class Program_weight_tensor_parameter_470: class Program_weight_tensor_parameter_471: name = "parameter_471" + original_name = "conv2d_10.w_0" shape = [192, 192, 1, 1] dtype = "float32" min_val = float("-0.69018") @@ -5104,6 +5576,7 @@ class Program_weight_tensor_parameter_471: class Program_weight_tensor_parameter_472: name = "parameter_472" + original_name = "batch_norm2d_9.b_0" shape = [192] dtype = "float32" min_val = float("-1.40565") @@ -5115,6 +5588,7 @@ class Program_weight_tensor_parameter_472: class Program_weight_tensor_parameter_473: name = "parameter_473" + original_name = "batch_norm2d_9.w_0" shape = [192] dtype = "float32" min_val = float("0.505814") @@ -5126,6 +5600,7 @@ class Program_weight_tensor_parameter_473: class Program_weight_tensor_parameter_474: name = "parameter_474" + original_name = "batch_norm2d_9.w_2" shape = [192] dtype = "float32" min_val = float("0.000115788") @@ -5137,6 +5612,7 @@ class Program_weight_tensor_parameter_474: class Program_weight_tensor_parameter_475: name = "parameter_475" + original_name = "batch_norm2d_9.w_1" shape = [192] dtype = "float32" min_val = float("-6.82118") @@ -5148,6 +5624,7 @@ class Program_weight_tensor_parameter_475: class Program_weight_tensor_parameter_476: name = "parameter_476" + original_name = "conv2d_9.w_0" shape = [192, 1, 3, 3] dtype = "float32" min_val = float("-0.966841") @@ -5159,6 +5636,7 @@ class Program_weight_tensor_parameter_476: class Program_weight_tensor_parameter_477: name = "parameter_477" + original_name = "batch_norm2d_8.b_0" shape = [192] dtype = "float32" min_val = float("-1.49895") @@ -5170,6 +5648,7 @@ class Program_weight_tensor_parameter_477: class Program_weight_tensor_parameter_478: name = "parameter_478" + original_name = "batch_norm2d_8.w_0" shape = [192] dtype = "float32" min_val = float("-1.09512") @@ -5181,6 +5660,7 @@ class Program_weight_tensor_parameter_478: class Program_weight_tensor_parameter_479: name = "parameter_479" + original_name = "batch_norm2d_8.w_2" shape = [192] dtype = "float32" min_val = float("0.186849") @@ -5192,6 +5672,7 @@ class Program_weight_tensor_parameter_479: class Program_weight_tensor_parameter_480: name = "parameter_480" + original_name = "batch_norm2d_8.w_1" shape = [192] dtype = "float32" min_val = float("-6.26769") @@ -5203,6 +5684,7 @@ class Program_weight_tensor_parameter_480: class Program_weight_tensor_parameter_481: name = "parameter_481" + original_name = "conv2d_8.w_0" shape = [192, 96, 1, 1] dtype = "float32" min_val = float("-1.05107") @@ -5214,6 +5696,7 @@ class Program_weight_tensor_parameter_481: class Program_weight_tensor_parameter_482: name = "parameter_482" + original_name = "batch_norm2d_7.b_0" shape = [96] dtype = "float32" min_val = float("-0.612535") @@ -5225,6 +5708,7 @@ class Program_weight_tensor_parameter_482: class Program_weight_tensor_parameter_483: name = "parameter_483" + original_name = "batch_norm2d_7.w_0" shape = [96] dtype = "float32" min_val = float("-0.648831") @@ -5236,6 +5720,7 @@ class Program_weight_tensor_parameter_483: class Program_weight_tensor_parameter_484: name = "parameter_484" + original_name = "batch_norm2d_7.w_2" shape = [96] dtype = "float32" min_val = float("0.00021319") @@ -5247,6 +5732,7 @@ class Program_weight_tensor_parameter_484: class Program_weight_tensor_parameter_485: name = "parameter_485" + original_name = "batch_norm2d_7.w_1" shape = [96] dtype = "float32" min_val = float("-4.04569") @@ -5258,6 +5744,7 @@ class Program_weight_tensor_parameter_485: class Program_weight_tensor_parameter_486: name = "parameter_486" + original_name = "conv2d_7.w_0" shape = [96, 1, 3, 3] dtype = "float32" min_val = float("-0.488915") @@ -5269,6 +5756,7 @@ class Program_weight_tensor_parameter_486: class Program_weight_tensor_parameter_487: name = "parameter_487" + original_name = "batch_norm2d_6.b_0" shape = [96] dtype = "float32" min_val = float("-3.06425") @@ -5280,6 +5768,7 @@ class Program_weight_tensor_parameter_487: class Program_weight_tensor_parameter_488: name = "parameter_488" + original_name = "batch_norm2d_6.w_0" shape = [96] dtype = "float32" min_val = float("-0.294203") @@ -5291,6 +5780,7 @@ class Program_weight_tensor_parameter_488: class Program_weight_tensor_parameter_489: name = "parameter_489" + original_name = "batch_norm2d_6.w_2" shape = [96] dtype = "float32" min_val = float("2.19219") @@ -5302,6 +5792,7 @@ class Program_weight_tensor_parameter_489: class Program_weight_tensor_parameter_490: name = "parameter_490" + original_name = "batch_norm2d_6.w_1" shape = [96] dtype = "float32" min_val = float("-10.71") @@ -5313,6 +5804,7 @@ class Program_weight_tensor_parameter_490: class Program_weight_tensor_parameter_491: name = "parameter_491" + original_name = "conv2d_6.w_0" shape = [96, 96, 1, 1] dtype = "float32" min_val = float("-0.81451") @@ -5324,6 +5816,7 @@ class Program_weight_tensor_parameter_491: class Program_weight_tensor_parameter_492: name = "parameter_492" + original_name = "batch_norm2d_5.b_0" shape = [96] dtype = "float32" min_val = float("-1.81008") @@ -5335,6 +5828,7 @@ class Program_weight_tensor_parameter_492: class Program_weight_tensor_parameter_493: name = "parameter_493" + original_name = "batch_norm2d_5.w_0" shape = [96] dtype = "float32" min_val = float("1.19179") @@ -5346,6 +5840,7 @@ class Program_weight_tensor_parameter_493: class Program_weight_tensor_parameter_494: name = "parameter_494" + original_name = "batch_norm2d_5.w_2" shape = [96] dtype = "float32" min_val = float("0.000253477") @@ -5357,6 +5852,7 @@ class Program_weight_tensor_parameter_494: class Program_weight_tensor_parameter_495: name = "parameter_495" + original_name = "batch_norm2d_5.w_1" shape = [96] dtype = "float32" min_val = float("-4.28775") @@ -5368,6 +5864,7 @@ class Program_weight_tensor_parameter_495: class Program_weight_tensor_parameter_496: name = "parameter_496" + original_name = "conv2d_5.w_0" shape = [96, 1, 3, 3] dtype = "float32" min_val = float("-1.10624") @@ -5379,6 +5876,7 @@ class Program_weight_tensor_parameter_496: class Program_weight_tensor_parameter_497: name = "parameter_497" + original_name = "batch_norm2d_4.b_0" shape = [96] dtype = "float32" min_val = float("-3.62779") @@ -5390,6 +5888,7 @@ class Program_weight_tensor_parameter_497: class Program_weight_tensor_parameter_498: name = "parameter_498" + original_name = "batch_norm2d_4.w_0" shape = [96] dtype = "float32" min_val = float("-1.37029") @@ -5401,6 +5900,7 @@ class Program_weight_tensor_parameter_498: class Program_weight_tensor_parameter_499: name = "parameter_499" + original_name = "batch_norm2d_4.w_2" shape = [96] dtype = "float32" min_val = float("1.98428") @@ -5412,6 +5912,7 @@ class Program_weight_tensor_parameter_499: class Program_weight_tensor_parameter_500: name = "parameter_500" + original_name = "batch_norm2d_4.w_1" shape = [96] dtype = "float32" min_val = float("-11.6768") @@ -5423,6 +5924,7 @@ class Program_weight_tensor_parameter_500: class Program_weight_tensor_parameter_501: name = "parameter_501" + original_name = "conv2d_4.w_0" shape = [96, 48, 1, 1] dtype = "float32" min_val = float("-1.19138") @@ -5434,6 +5936,7 @@ class Program_weight_tensor_parameter_501: class Program_weight_tensor_parameter_502: name = "parameter_502" + original_name = "batch_norm2d_3.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -5443,6 +5946,7 @@ class Program_weight_tensor_parameter_502: class Program_weight_tensor_parameter_503: name = "parameter_503" + original_name = "batch_norm2d_3.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -5452,6 +5956,7 @@ class Program_weight_tensor_parameter_503: class Program_weight_tensor_parameter_504: name = "parameter_504" + original_name = "batch_norm2d_3.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -5461,6 +5966,7 @@ class Program_weight_tensor_parameter_504: class Program_weight_tensor_parameter_505: name = "parameter_505" + original_name = "batch_norm2d_3.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -5470,6 +5976,7 @@ class Program_weight_tensor_parameter_505: class Program_weight_tensor_parameter_506: name = "parameter_506" + original_name = "conv2d_3.w_0" shape = [48, 1, 3, 3] dtype = "float32" min_val = float("-1.38278") @@ -5481,6 +5988,7 @@ class Program_weight_tensor_parameter_506: class Program_weight_tensor_parameter_507: name = "parameter_507" + original_name = "batch_norm2d_2.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -5490,6 +5998,7 @@ class Program_weight_tensor_parameter_507: class Program_weight_tensor_parameter_508: name = "parameter_508" + original_name = "batch_norm2d_2.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -5499,6 +6008,7 @@ class Program_weight_tensor_parameter_508: class Program_weight_tensor_parameter_509: name = "parameter_509" + original_name = "batch_norm2d_2.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -5508,6 +6018,7 @@ class Program_weight_tensor_parameter_509: class Program_weight_tensor_parameter_510: name = "parameter_510" + original_name = "batch_norm2d_2.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -5517,6 +6028,7 @@ class Program_weight_tensor_parameter_510: class Program_weight_tensor_parameter_511: name = "parameter_511" + original_name = "conv2d_2.w_0" shape = [48, 24, 1, 1] dtype = "float32" min_val = float("-1.06154") @@ -5528,6 +6040,7 @@ class Program_weight_tensor_parameter_511: class Program_weight_tensor_parameter_512: name = "parameter_512" + original_name = "batch_norm2d_1.b_0" shape = [24] dtype = "float32" min_val = float("0") @@ -5537,6 +6050,7 @@ class Program_weight_tensor_parameter_512: class Program_weight_tensor_parameter_513: name = "parameter_513" + original_name = "batch_norm2d_1.w_0" shape = [24] dtype = "float32" min_val = float("0") @@ -5546,6 +6060,7 @@ class Program_weight_tensor_parameter_513: class Program_weight_tensor_parameter_514: name = "parameter_514" + original_name = "batch_norm2d_1.w_2" shape = [24] dtype = "float32" min_val = float("0") @@ -5555,6 +6070,7 @@ class Program_weight_tensor_parameter_514: class Program_weight_tensor_parameter_515: name = "parameter_515" + original_name = "batch_norm2d_1.w_1" shape = [24] dtype = "float32" min_val = float("0") @@ -5564,6 +6080,7 @@ class Program_weight_tensor_parameter_515: class Program_weight_tensor_parameter_516: name = "parameter_516" + original_name = "conv2d_1.w_0" shape = [24, 1, 3, 3] dtype = "float32" min_val = float("-1.27887") @@ -5575,6 +6092,7 @@ class Program_weight_tensor_parameter_516: class Program_weight_tensor_parameter_517: name = "parameter_517" + original_name = "batch_norm2d_0.b_0" shape = [24] dtype = "float32" min_val = float("0") @@ -5584,6 +6102,7 @@ class Program_weight_tensor_parameter_517: class Program_weight_tensor_parameter_518: name = "parameter_518" + original_name = "batch_norm2d_0.w_0" shape = [24] dtype = "float32" min_val = float("0") @@ -5593,6 +6112,7 @@ class Program_weight_tensor_parameter_518: class Program_weight_tensor_parameter_519: name = "parameter_519" + original_name = "batch_norm2d_0.w_2" shape = [24] dtype = "float32" min_val = float("0") @@ -5602,6 +6122,7 @@ class Program_weight_tensor_parameter_519: class Program_weight_tensor_parameter_520: name = "parameter_520" + original_name = "batch_norm2d_0.w_1" shape = [24] dtype = "float32" min_val = float("0") @@ -5611,6 +6132,7 @@ class Program_weight_tensor_parameter_520: class Program_weight_tensor_parameter_521: name = "parameter_521" + original_name = "conv2d_0.w_0" shape = [24, 3, 3, 3] dtype = "float32" min_val = float("-0.763684") diff --git a/paddle_samples/PaddleX/ResNet18/input_meta.py b/paddle_samples/PaddleX/ResNet18/input_meta.py index 22400d235..cc8860d79 100644 --- a/paddle_samples/PaddleX/ResNet18/input_meta.py +++ b/paddle_samples/PaddleX/ResNet18/input_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_data_0: name = "data_0" + original_name = "var_145" shape = [64, 3, 224, 224] dtype = "float32" min_val = float("-2.1179") diff --git a/paddle_samples/PaddleX/ResNet18/weight_meta.py b/paddle_samples/PaddleX/ResNet18/weight_meta.py index 5b6f9972c..10ff16a3a 100644 --- a/paddle_samples/PaddleX/ResNet18/weight_meta.py +++ b/paddle_samples/PaddleX/ResNet18/weight_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_parameter_0: name = "parameter_0" + original_name = "linear_0.b_0" shape = [102] dtype = "float32" min_val = float("-0.00917972") @@ -11,6 +12,7 @@ class Program_weight_tensor_parameter_0: class Program_weight_tensor_parameter_1: name = "parameter_1" + original_name = "linear_0.w_0" shape = [512, 102] dtype = "float32" min_val = float("-0.0651744") @@ -22,6 +24,7 @@ class Program_weight_tensor_parameter_1: class Program_weight_tensor_parameter_2: name = "parameter_2" + original_name = "batch_norm_20.b_0" shape = [512] dtype = "float32" min_val = float("0.0275836") @@ -33,6 +36,7 @@ class Program_weight_tensor_parameter_2: class Program_weight_tensor_parameter_3: name = "parameter_3" + original_name = "batch_norm_20.w_0" shape = [512] dtype = "float32" min_val = float("1.52942") @@ -44,6 +48,7 @@ class Program_weight_tensor_parameter_3: class Program_weight_tensor_parameter_4: name = "parameter_4" + original_name = "batch_norm_20.w_2" shape = [512] dtype = "float32" min_val = float("0.00931472") @@ -55,6 +60,7 @@ class Program_weight_tensor_parameter_4: class Program_weight_tensor_parameter_5: name = "parameter_5" + original_name = "batch_norm_20.w_1" shape = [512] dtype = "float32" min_val = float("-0.0467386") @@ -66,6 +72,7 @@ class Program_weight_tensor_parameter_5: class Program_weight_tensor_parameter_6: name = "parameter_6" + original_name = "conv2d_20.w_0" shape = [512, 512, 3, 3] dtype = "float32" min_val = float("-0.113482") @@ -77,6 +84,7 @@ class Program_weight_tensor_parameter_6: class Program_weight_tensor_parameter_7: name = "parameter_7" + original_name = "batch_norm_19.b_0" shape = [512] dtype = "float32" min_val = float("-0.551929") @@ -88,6 +96,7 @@ class Program_weight_tensor_parameter_7: class Program_weight_tensor_parameter_8: name = "parameter_8" + original_name = "batch_norm_19.w_0" shape = [512] dtype = "float32" min_val = float("0.0894387") @@ -99,6 +108,7 @@ class Program_weight_tensor_parameter_8: class Program_weight_tensor_parameter_9: name = "parameter_9" + original_name = "batch_norm_19.w_2" shape = [512] dtype = "float32" min_val = float("0.0555482") @@ -110,6 +120,7 @@ class Program_weight_tensor_parameter_9: class Program_weight_tensor_parameter_10: name = "parameter_10" + original_name = "batch_norm_19.w_1" shape = [512] dtype = "float32" min_val = float("-0.749277") @@ -121,6 +132,7 @@ class Program_weight_tensor_parameter_10: class Program_weight_tensor_parameter_11: name = "parameter_11" + original_name = "conv2d_19.w_0" shape = [512, 512, 3, 3] dtype = "float32" min_val = float("-0.319333") @@ -132,6 +144,7 @@ class Program_weight_tensor_parameter_11: class Program_weight_tensor_parameter_12: name = "parameter_12" + original_name = "batch_norm_18.b_0" shape = [512] dtype = "float32" min_val = float("-0.394103") @@ -143,6 +156,7 @@ class Program_weight_tensor_parameter_12: class Program_weight_tensor_parameter_13: name = "parameter_13" + original_name = "batch_norm_18.w_0" shape = [512] dtype = "float32" min_val = float("-0.0795484") @@ -154,6 +168,7 @@ class Program_weight_tensor_parameter_13: class Program_weight_tensor_parameter_14: name = "parameter_14" + original_name = "batch_norm_18.w_2" shape = [512] dtype = "float32" min_val = float("0.00203374") @@ -165,6 +180,7 @@ class Program_weight_tensor_parameter_14: class Program_weight_tensor_parameter_15: name = "parameter_15" + original_name = "batch_norm_18.w_1" shape = [512] dtype = "float32" min_val = float("-0.252108") @@ -176,6 +192,7 @@ class Program_weight_tensor_parameter_15: class Program_weight_tensor_parameter_16: name = "parameter_16" + original_name = "conv2d_18.w_0" shape = [512, 256, 1, 1] dtype = "float32" min_val = float("-0.908914") @@ -187,6 +204,7 @@ class Program_weight_tensor_parameter_16: class Program_weight_tensor_parameter_17: name = "parameter_17" + original_name = "batch_norm_17.b_0" shape = [512] dtype = "float32" min_val = float("-0.394103") @@ -198,6 +216,7 @@ class Program_weight_tensor_parameter_17: class Program_weight_tensor_parameter_18: name = "parameter_18" + original_name = "batch_norm_17.w_0" shape = [512] dtype = "float32" min_val = float("0.0886931") @@ -209,6 +228,7 @@ class Program_weight_tensor_parameter_18: class Program_weight_tensor_parameter_19: name = "parameter_19" + original_name = "batch_norm_17.w_2" shape = [512] dtype = "float32" min_val = float("0.00914284") @@ -220,6 +240,7 @@ class Program_weight_tensor_parameter_19: class Program_weight_tensor_parameter_20: name = "parameter_20" + original_name = "batch_norm_17.w_1" shape = [512] dtype = "float32" min_val = float("-0.314796") @@ -231,6 +252,7 @@ class Program_weight_tensor_parameter_20: class Program_weight_tensor_parameter_21: name = "parameter_21" + original_name = "conv2d_17.w_0" shape = [512, 512, 3, 3] dtype = "float32" min_val = float("-0.275482") @@ -242,6 +264,7 @@ class Program_weight_tensor_parameter_21: class Program_weight_tensor_parameter_22: name = "parameter_22" + original_name = "batch_norm_16.b_0" shape = [512] dtype = "float32" min_val = float("-0.72348") @@ -253,6 +276,7 @@ class Program_weight_tensor_parameter_22: class Program_weight_tensor_parameter_23: name = "parameter_23" + original_name = "batch_norm_16.w_0" shape = [512] dtype = "float32" min_val = float("0.119287") @@ -264,6 +288,7 @@ class Program_weight_tensor_parameter_23: class Program_weight_tensor_parameter_24: name = "parameter_24" + original_name = "batch_norm_16.w_2" shape = [512] dtype = "float32" min_val = float("0.0593178") @@ -275,6 +300,7 @@ class Program_weight_tensor_parameter_24: class Program_weight_tensor_parameter_25: name = "parameter_25" + original_name = "batch_norm_16.w_1" shape = [512] dtype = "float32" min_val = float("-1.33638") @@ -286,6 +312,7 @@ class Program_weight_tensor_parameter_25: class Program_weight_tensor_parameter_26: name = "parameter_26" + original_name = "conv2d_16.w_0" shape = [512, 256, 3, 3] dtype = "float32" min_val = float("-0.326124") @@ -297,6 +324,7 @@ class Program_weight_tensor_parameter_26: class Program_weight_tensor_parameter_27: name = "parameter_27" + original_name = "batch_norm_15.b_0" shape = [256] dtype = "float32" min_val = float("-0.664869") @@ -308,6 +336,7 @@ class Program_weight_tensor_parameter_27: class Program_weight_tensor_parameter_28: name = "parameter_28" + original_name = "batch_norm_15.w_0" shape = [256] dtype = "float32" min_val = float("-0.0259914") @@ -319,6 +348,7 @@ class Program_weight_tensor_parameter_28: class Program_weight_tensor_parameter_29: name = "parameter_29" + original_name = "batch_norm_15.w_2" shape = [256] dtype = "float32" min_val = float("0.00549062") @@ -330,6 +360,7 @@ class Program_weight_tensor_parameter_29: class Program_weight_tensor_parameter_30: name = "parameter_30" + original_name = "batch_norm_15.w_1" shape = [256] dtype = "float32" min_val = float("-0.573859") @@ -341,6 +372,7 @@ class Program_weight_tensor_parameter_30: class Program_weight_tensor_parameter_31: name = "parameter_31" + original_name = "conv2d_15.w_0" shape = [256, 256, 3, 3] dtype = "float32" min_val = float("-0.295601") @@ -352,6 +384,7 @@ class Program_weight_tensor_parameter_31: class Program_weight_tensor_parameter_32: name = "parameter_32" + original_name = "batch_norm_14.b_0" shape = [256] dtype = "float32" min_val = float("-0.701317") @@ -363,6 +396,7 @@ class Program_weight_tensor_parameter_32: class Program_weight_tensor_parameter_33: name = "parameter_33" + original_name = "batch_norm_14.w_0" shape = [256] dtype = "float32" min_val = float("0.13944") @@ -374,6 +408,7 @@ class Program_weight_tensor_parameter_33: class Program_weight_tensor_parameter_34: name = "parameter_34" + original_name = "batch_norm_14.w_2" shape = [256] dtype = "float32" min_val = float("0.0765543") @@ -385,6 +420,7 @@ class Program_weight_tensor_parameter_34: class Program_weight_tensor_parameter_35: name = "parameter_35" + original_name = "batch_norm_14.w_1" shape = [256] dtype = "float32" min_val = float("-2.66481") @@ -396,6 +432,7 @@ class Program_weight_tensor_parameter_35: class Program_weight_tensor_parameter_36: name = "parameter_36" + original_name = "conv2d_14.w_0" shape = [256, 256, 3, 3] dtype = "float32" min_val = float("-0.290243") @@ -407,6 +444,7 @@ class Program_weight_tensor_parameter_36: class Program_weight_tensor_parameter_37: name = "parameter_37" + original_name = "batch_norm_13.b_0" shape = [256] dtype = "float32" min_val = float("-0.367234") @@ -418,6 +456,7 @@ class Program_weight_tensor_parameter_37: class Program_weight_tensor_parameter_38: name = "parameter_38" + original_name = "batch_norm_13.w_0" shape = [256] dtype = "float32" min_val = float("0.0152404") @@ -429,6 +468,7 @@ class Program_weight_tensor_parameter_38: class Program_weight_tensor_parameter_39: name = "parameter_39" + original_name = "batch_norm_13.w_2" shape = [256] dtype = "float32" min_val = float("0.00260952") @@ -440,6 +480,7 @@ class Program_weight_tensor_parameter_39: class Program_weight_tensor_parameter_40: name = "parameter_40" + original_name = "batch_norm_13.w_1" shape = [256] dtype = "float32" min_val = float("-0.24504") @@ -451,6 +492,7 @@ class Program_weight_tensor_parameter_40: class Program_weight_tensor_parameter_41: name = "parameter_41" + original_name = "conv2d_13.w_0" shape = [256, 128, 1, 1] dtype = "float32" min_val = float("-0.263906") @@ -462,6 +504,7 @@ class Program_weight_tensor_parameter_41: class Program_weight_tensor_parameter_42: name = "parameter_42" + original_name = "batch_norm_12.b_0" shape = [256] dtype = "float32" min_val = float("-0.367234") @@ -473,6 +516,7 @@ class Program_weight_tensor_parameter_42: class Program_weight_tensor_parameter_43: name = "parameter_43" + original_name = "batch_norm_12.w_0" shape = [256] dtype = "float32" min_val = float("0.170457") @@ -484,6 +528,7 @@ class Program_weight_tensor_parameter_43: class Program_weight_tensor_parameter_44: name = "parameter_44" + original_name = "batch_norm_12.w_2" shape = [256] dtype = "float32" min_val = float("0.0423005") @@ -495,6 +540,7 @@ class Program_weight_tensor_parameter_44: class Program_weight_tensor_parameter_45: name = "parameter_45" + original_name = "batch_norm_12.w_1" shape = [256] dtype = "float32" min_val = float("-0.709179") @@ -506,6 +552,7 @@ class Program_weight_tensor_parameter_45: class Program_weight_tensor_parameter_46: name = "parameter_46" + original_name = "conv2d_12.w_0" shape = [256, 256, 3, 3] dtype = "float32" min_val = float("-0.396432") @@ -517,6 +564,7 @@ class Program_weight_tensor_parameter_46: class Program_weight_tensor_parameter_47: name = "parameter_47" + original_name = "batch_norm_11.b_0" shape = [256] dtype = "float32" min_val = float("-0.421766") @@ -528,6 +576,7 @@ class Program_weight_tensor_parameter_47: class Program_weight_tensor_parameter_48: name = "parameter_48" + original_name = "batch_norm_11.w_0" shape = [256] dtype = "float32" min_val = float("0.208535") @@ -539,6 +588,7 @@ class Program_weight_tensor_parameter_48: class Program_weight_tensor_parameter_49: name = "parameter_49" + original_name = "batch_norm_11.w_2" shape = [256] dtype = "float32" min_val = float("0.086291") @@ -550,6 +600,7 @@ class Program_weight_tensor_parameter_49: class Program_weight_tensor_parameter_50: name = "parameter_50" + original_name = "batch_norm_11.w_1" shape = [256] dtype = "float32" min_val = float("-1.26515") @@ -561,6 +612,7 @@ class Program_weight_tensor_parameter_50: class Program_weight_tensor_parameter_51: name = "parameter_51" + original_name = "conv2d_11.w_0" shape = [256, 128, 3, 3] dtype = "float32" min_val = float("-0.405646") @@ -572,6 +624,7 @@ class Program_weight_tensor_parameter_51: class Program_weight_tensor_parameter_52: name = "parameter_52" + original_name = "batch_norm_10.b_0" shape = [128] dtype = "float32" min_val = float("-0.532164") @@ -583,6 +636,7 @@ class Program_weight_tensor_parameter_52: class Program_weight_tensor_parameter_53: name = "parameter_53" + original_name = "batch_norm_10.w_0" shape = [128] dtype = "float32" min_val = float("0.0387377") @@ -594,6 +648,7 @@ class Program_weight_tensor_parameter_53: class Program_weight_tensor_parameter_54: name = "parameter_54" + original_name = "batch_norm_10.w_2" shape = [128] dtype = "float32" min_val = float("0.00614949") @@ -605,6 +660,7 @@ class Program_weight_tensor_parameter_54: class Program_weight_tensor_parameter_55: name = "parameter_55" + original_name = "batch_norm_10.w_1" shape = [128] dtype = "float32" min_val = float("-0.540636") @@ -616,6 +672,7 @@ class Program_weight_tensor_parameter_55: class Program_weight_tensor_parameter_56: name = "parameter_56" + original_name = "conv2d_10.w_0" shape = [128, 128, 3, 3] dtype = "float32" min_val = float("-0.361143") @@ -627,6 +684,7 @@ class Program_weight_tensor_parameter_56: class Program_weight_tensor_parameter_57: name = "parameter_57" + original_name = "batch_norm_9.b_0" shape = [128] dtype = "float32" min_val = float("-0.658581") @@ -638,6 +696,7 @@ class Program_weight_tensor_parameter_57: class Program_weight_tensor_parameter_58: name = "parameter_58" + original_name = "batch_norm_9.w_0" shape = [128] dtype = "float32" min_val = float("0.227461") @@ -649,6 +708,7 @@ class Program_weight_tensor_parameter_58: class Program_weight_tensor_parameter_59: name = "parameter_59" + original_name = "batch_norm_9.w_2" shape = [128] dtype = "float32" min_val = float("0.0856519") @@ -660,6 +720,7 @@ class Program_weight_tensor_parameter_59: class Program_weight_tensor_parameter_60: name = "parameter_60" + original_name = "batch_norm_9.w_1" shape = [128] dtype = "float32" min_val = float("-1.50869") @@ -671,6 +732,7 @@ class Program_weight_tensor_parameter_60: class Program_weight_tensor_parameter_61: name = "parameter_61" + original_name = "conv2d_9.w_0" shape = [128, 128, 3, 3] dtype = "float32" min_val = float("-0.338004") @@ -682,6 +744,7 @@ class Program_weight_tensor_parameter_61: class Program_weight_tensor_parameter_62: name = "parameter_62" + original_name = "batch_norm_8.b_0" shape = [128] dtype = "float32" min_val = float("-0.245089") @@ -693,6 +756,7 @@ class Program_weight_tensor_parameter_62: class Program_weight_tensor_parameter_63: name = "parameter_63" + original_name = "batch_norm_8.w_0" shape = [128] dtype = "float32" min_val = float("0.0152137") @@ -704,6 +768,7 @@ class Program_weight_tensor_parameter_63: class Program_weight_tensor_parameter_64: name = "parameter_64" + original_name = "batch_norm_8.w_2" shape = [128] dtype = "float32" min_val = float("0.00463106") @@ -715,6 +780,7 @@ class Program_weight_tensor_parameter_64: class Program_weight_tensor_parameter_65: name = "parameter_65" + original_name = "batch_norm_8.w_1" shape = [128] dtype = "float32" min_val = float("-0.384798") @@ -726,6 +792,7 @@ class Program_weight_tensor_parameter_65: class Program_weight_tensor_parameter_66: name = "parameter_66" + original_name = "conv2d_8.w_0" shape = [128, 64, 1, 1] dtype = "float32" min_val = float("-0.658175") @@ -737,6 +804,7 @@ class Program_weight_tensor_parameter_66: class Program_weight_tensor_parameter_67: name = "parameter_67" + original_name = "batch_norm_7.b_0" shape = [128] dtype = "float32" min_val = float("-0.245089") @@ -748,6 +816,7 @@ class Program_weight_tensor_parameter_67: class Program_weight_tensor_parameter_68: name = "parameter_68" + original_name = "batch_norm_7.w_0" shape = [128] dtype = "float32" min_val = float("0.0883116") @@ -759,6 +828,7 @@ class Program_weight_tensor_parameter_68: class Program_weight_tensor_parameter_69: name = "parameter_69" + original_name = "batch_norm_7.w_2" shape = [128] dtype = "float32" min_val = float("0.026159") @@ -770,6 +840,7 @@ class Program_weight_tensor_parameter_69: class Program_weight_tensor_parameter_70: name = "parameter_70" + original_name = "batch_norm_7.w_1" shape = [128] dtype = "float32" min_val = float("-0.704322") @@ -781,6 +852,7 @@ class Program_weight_tensor_parameter_70: class Program_weight_tensor_parameter_71: name = "parameter_71" + original_name = "conv2d_7.w_0" shape = [128, 128, 3, 3] dtype = "float32" min_val = float("-0.456589") @@ -792,6 +864,7 @@ class Program_weight_tensor_parameter_71: class Program_weight_tensor_parameter_72: name = "parameter_72" + original_name = "batch_norm_6.b_0" shape = [128] dtype = "float32" min_val = float("-0.329727") @@ -803,6 +876,7 @@ class Program_weight_tensor_parameter_72: class Program_weight_tensor_parameter_73: name = "parameter_73" + original_name = "batch_norm_6.w_0" shape = [128] dtype = "float32" min_val = float("0.190817") @@ -814,6 +888,7 @@ class Program_weight_tensor_parameter_73: class Program_weight_tensor_parameter_74: name = "parameter_74" + original_name = "batch_norm_6.w_2" shape = [128] dtype = "float32" min_val = float("0.172372") @@ -825,6 +900,7 @@ class Program_weight_tensor_parameter_74: class Program_weight_tensor_parameter_75: name = "parameter_75" + original_name = "batch_norm_6.w_1" shape = [128] dtype = "float32" min_val = float("-1.49122") @@ -836,6 +912,7 @@ class Program_weight_tensor_parameter_75: class Program_weight_tensor_parameter_76: name = "parameter_76" + original_name = "conv2d_6.w_0" shape = [128, 64, 3, 3] dtype = "float32" min_val = float("-0.415849") @@ -847,6 +924,7 @@ class Program_weight_tensor_parameter_76: class Program_weight_tensor_parameter_77: name = "parameter_77" + original_name = "batch_norm_5.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -856,6 +934,7 @@ class Program_weight_tensor_parameter_77: class Program_weight_tensor_parameter_78: name = "parameter_78" + original_name = "batch_norm_5.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -865,6 +944,7 @@ class Program_weight_tensor_parameter_78: class Program_weight_tensor_parameter_79: name = "parameter_79" + original_name = "batch_norm_5.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -874,6 +954,7 @@ class Program_weight_tensor_parameter_79: class Program_weight_tensor_parameter_80: name = "parameter_80" + original_name = "batch_norm_5.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -883,6 +964,7 @@ class Program_weight_tensor_parameter_80: class Program_weight_tensor_parameter_81: name = "parameter_81" + original_name = "conv2d_5.w_0" shape = [64, 64, 3, 3] dtype = "float32" min_val = float("-0.580664") @@ -894,6 +976,7 @@ class Program_weight_tensor_parameter_81: class Program_weight_tensor_parameter_82: name = "parameter_82" + original_name = "batch_norm_4.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -903,6 +986,7 @@ class Program_weight_tensor_parameter_82: class Program_weight_tensor_parameter_83: name = "parameter_83" + original_name = "batch_norm_4.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -912,6 +996,7 @@ class Program_weight_tensor_parameter_83: class Program_weight_tensor_parameter_84: name = "parameter_84" + original_name = "batch_norm_4.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -921,6 +1006,7 @@ class Program_weight_tensor_parameter_84: class Program_weight_tensor_parameter_85: name = "parameter_85" + original_name = "batch_norm_4.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -930,6 +1016,7 @@ class Program_weight_tensor_parameter_85: class Program_weight_tensor_parameter_86: name = "parameter_86" + original_name = "conv2d_4.w_0" shape = [64, 64, 3, 3] dtype = "float32" min_val = float("-0.372411") @@ -941,6 +1028,7 @@ class Program_weight_tensor_parameter_86: class Program_weight_tensor_parameter_87: name = "parameter_87" + original_name = "batch_norm_3.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -950,6 +1038,7 @@ class Program_weight_tensor_parameter_87: class Program_weight_tensor_parameter_88: name = "parameter_88" + original_name = "batch_norm_3.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -959,6 +1048,7 @@ class Program_weight_tensor_parameter_88: class Program_weight_tensor_parameter_89: name = "parameter_89" + original_name = "batch_norm_3.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -968,6 +1058,7 @@ class Program_weight_tensor_parameter_89: class Program_weight_tensor_parameter_90: name = "parameter_90" + original_name = "batch_norm_3.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -977,6 +1068,7 @@ class Program_weight_tensor_parameter_90: class Program_weight_tensor_parameter_91: name = "parameter_91" + original_name = "conv2d_3.w_0" shape = [64, 64, 1, 1] dtype = "float32" min_val = float("-0.645605") @@ -988,6 +1080,7 @@ class Program_weight_tensor_parameter_91: class Program_weight_tensor_parameter_92: name = "parameter_92" + original_name = "batch_norm_2.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -997,6 +1090,7 @@ class Program_weight_tensor_parameter_92: class Program_weight_tensor_parameter_93: name = "parameter_93" + original_name = "batch_norm_2.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -1006,6 +1100,7 @@ class Program_weight_tensor_parameter_93: class Program_weight_tensor_parameter_94: name = "parameter_94" + original_name = "batch_norm_2.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -1015,6 +1110,7 @@ class Program_weight_tensor_parameter_94: class Program_weight_tensor_parameter_95: name = "parameter_95" + original_name = "batch_norm_2.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -1024,6 +1120,7 @@ class Program_weight_tensor_parameter_95: class Program_weight_tensor_parameter_96: name = "parameter_96" + original_name = "conv2d_2.w_0" shape = [64, 64, 3, 3] dtype = "float32" min_val = float("-0.428959") @@ -1035,6 +1132,7 @@ class Program_weight_tensor_parameter_96: class Program_weight_tensor_parameter_97: name = "parameter_97" + original_name = "batch_norm_1.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -1044,6 +1142,7 @@ class Program_weight_tensor_parameter_97: class Program_weight_tensor_parameter_98: name = "parameter_98" + original_name = "batch_norm_1.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -1053,6 +1152,7 @@ class Program_weight_tensor_parameter_98: class Program_weight_tensor_parameter_99: name = "parameter_99" + original_name = "batch_norm_1.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -1062,6 +1162,7 @@ class Program_weight_tensor_parameter_99: class Program_weight_tensor_parameter_100: name = "parameter_100" + original_name = "batch_norm_1.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -1071,6 +1172,7 @@ class Program_weight_tensor_parameter_100: class Program_weight_tensor_parameter_101: name = "parameter_101" + original_name = "conv2d_1.w_0" shape = [64, 64, 3, 3] dtype = "float32" min_val = float("-0.636645") @@ -1082,6 +1184,7 @@ class Program_weight_tensor_parameter_101: class Program_weight_tensor_parameter_102: name = "parameter_102" + original_name = "batch_norm_0.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -1091,6 +1194,7 @@ class Program_weight_tensor_parameter_102: class Program_weight_tensor_parameter_103: name = "parameter_103" + original_name = "batch_norm_0.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -1100,6 +1204,7 @@ class Program_weight_tensor_parameter_103: class Program_weight_tensor_parameter_104: name = "parameter_104" + original_name = "batch_norm_0.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -1109,6 +1214,7 @@ class Program_weight_tensor_parameter_104: class Program_weight_tensor_parameter_105: name = "parameter_105" + original_name = "batch_norm_0.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -1118,6 +1224,7 @@ class Program_weight_tensor_parameter_105: class Program_weight_tensor_parameter_106: name = "parameter_106" + original_name = "conv2d_0.w_0" shape = [64, 3, 7, 7] dtype = "float32" min_val = float("-0.687591") diff --git a/paddle_samples/PaddleX/SLANet/subgraph_0/input_meta.py b/paddle_samples/PaddleX/SLANet/subgraph_0/input_meta.py index 8b440cd4b..ba13e70d9 100644 --- a/paddle_samples/PaddleX/SLANet/subgraph_0/input_meta.py +++ b/paddle_samples/PaddleX/SLANet/subgraph_0/input_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_data_0: name = "data_0" + original_name = "var_361" shape = [24, 3, 488, 488] dtype = "float32" min_val = float("-2.1179") diff --git a/paddle_samples/PaddleX/SLANet/subgraph_0/weight_meta.py b/paddle_samples/PaddleX/SLANet/subgraph_0/weight_meta.py index 8009c7b7b..f193e4e40 100644 --- a/paddle_samples/PaddleX/SLANet/subgraph_0/weight_meta.py +++ b/paddle_samples/PaddleX/SLANet/subgraph_0/weight_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_parameter_0: name = "parameter_0" + original_name = "batch_norm2d_42.b_0" shape = [96] dtype = "float32" min_val = float("-0.24959") @@ -11,6 +12,7 @@ class Program_weight_tensor_parameter_0: class Program_weight_tensor_parameter_1: name = "parameter_1" + original_name = "batch_norm2d_42.w_0" shape = [96] dtype = "float32" min_val = float("0.449565") @@ -22,6 +24,7 @@ class Program_weight_tensor_parameter_1: class Program_weight_tensor_parameter_2: name = "parameter_2" + original_name = "batch_norm2d_42.w_2" shape = [96] dtype = "float32" min_val = float("2.93068") @@ -33,6 +36,7 @@ class Program_weight_tensor_parameter_2: class Program_weight_tensor_parameter_3: name = "parameter_3" + original_name = "batch_norm2d_42.w_1" shape = [96] dtype = "float32" min_val = float("-2.34994") @@ -44,6 +48,7 @@ class Program_weight_tensor_parameter_3: class Program_weight_tensor_parameter_4: name = "parameter_4" + original_name = "conv2d_73.w_0" shape = [96, 96, 1, 1] dtype = "float32" min_val = float("-1.04498") @@ -55,6 +60,7 @@ class Program_weight_tensor_parameter_4: class Program_weight_tensor_parameter_5: name = "parameter_5" + original_name = "batch_norm2d_45.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -64,6 +70,7 @@ class Program_weight_tensor_parameter_5: class Program_weight_tensor_parameter_6: name = "parameter_6" + original_name = "batch_norm2d_45.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -73,6 +80,7 @@ class Program_weight_tensor_parameter_6: class Program_weight_tensor_parameter_7: name = "parameter_7" + original_name = "batch_norm2d_45.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -82,6 +90,7 @@ class Program_weight_tensor_parameter_7: class Program_weight_tensor_parameter_8: name = "parameter_8" + original_name = "batch_norm2d_45.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -91,6 +100,7 @@ class Program_weight_tensor_parameter_8: class Program_weight_tensor_parameter_9: name = "parameter_9" + original_name = "conv2d_76.w_0" shape = [48, 48, 1, 1] dtype = "float32" min_val = float("-1.21852") @@ -102,6 +112,7 @@ class Program_weight_tensor_parameter_9: class Program_weight_tensor_parameter_10: name = "parameter_10" + original_name = "batch_norm2d_44.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -111,6 +122,7 @@ class Program_weight_tensor_parameter_10: class Program_weight_tensor_parameter_11: name = "parameter_11" + original_name = "batch_norm2d_44.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -120,6 +132,7 @@ class Program_weight_tensor_parameter_11: class Program_weight_tensor_parameter_12: name = "parameter_12" + original_name = "batch_norm2d_44.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -129,6 +142,7 @@ class Program_weight_tensor_parameter_12: class Program_weight_tensor_parameter_13: name = "parameter_13" + original_name = "batch_norm2d_44.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -138,6 +152,7 @@ class Program_weight_tensor_parameter_13: class Program_weight_tensor_parameter_14: name = "parameter_14" + original_name = "conv2d_75.w_0" shape = [48, 1, 5, 5] dtype = "float32" min_val = float("-1.18004") @@ -149,6 +164,7 @@ class Program_weight_tensor_parameter_14: class Program_weight_tensor_parameter_15: name = "parameter_15" + original_name = "batch_norm2d_43.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -158,6 +174,7 @@ class Program_weight_tensor_parameter_15: class Program_weight_tensor_parameter_16: name = "parameter_16" + original_name = "batch_norm2d_43.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -167,6 +184,7 @@ class Program_weight_tensor_parameter_16: class Program_weight_tensor_parameter_17: name = "parameter_17" + original_name = "batch_norm2d_43.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -176,6 +194,7 @@ class Program_weight_tensor_parameter_17: class Program_weight_tensor_parameter_18: name = "parameter_18" + original_name = "batch_norm2d_43.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -185,6 +204,7 @@ class Program_weight_tensor_parameter_18: class Program_weight_tensor_parameter_19: name = "parameter_19" + original_name = "conv2d_74.w_0" shape = [48, 48, 1, 1] dtype = "float32" min_val = float("-1.20729") @@ -196,6 +216,7 @@ class Program_weight_tensor_parameter_19: class Program_weight_tensor_parameter_20: name = "parameter_20" + original_name = "batch_norm2d_40.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -205,6 +226,7 @@ class Program_weight_tensor_parameter_20: class Program_weight_tensor_parameter_21: name = "parameter_21" + original_name = "batch_norm2d_40.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -214,6 +236,7 @@ class Program_weight_tensor_parameter_21: class Program_weight_tensor_parameter_22: name = "parameter_22" + original_name = "batch_norm2d_40.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -223,6 +246,7 @@ class Program_weight_tensor_parameter_22: class Program_weight_tensor_parameter_23: name = "parameter_23" + original_name = "batch_norm2d_40.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -232,6 +256,7 @@ class Program_weight_tensor_parameter_23: class Program_weight_tensor_parameter_24: name = "parameter_24" + original_name = "conv2d_71.w_0" shape = [48, 192, 1, 1] dtype = "float32" min_val = float("-1.53561") @@ -243,6 +268,7 @@ class Program_weight_tensor_parameter_24: class Program_weight_tensor_parameter_25: name = "parameter_25" + original_name = "batch_norm2d_41.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -252,6 +278,7 @@ class Program_weight_tensor_parameter_25: class Program_weight_tensor_parameter_26: name = "parameter_26" + original_name = "batch_norm2d_41.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -261,6 +288,7 @@ class Program_weight_tensor_parameter_26: class Program_weight_tensor_parameter_27: name = "parameter_27" + original_name = "batch_norm2d_41.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -270,6 +298,7 @@ class Program_weight_tensor_parameter_27: class Program_weight_tensor_parameter_28: name = "parameter_28" + original_name = "batch_norm2d_41.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -279,6 +308,7 @@ class Program_weight_tensor_parameter_28: class Program_weight_tensor_parameter_29: name = "parameter_29" + original_name = "conv2d_72.w_0" shape = [48, 192, 1, 1] dtype = "float32" min_val = float("-1.21655") @@ -290,6 +320,7 @@ class Program_weight_tensor_parameter_29: class Program_weight_tensor_parameter_30: name = "parameter_30" + original_name = "batch_norm2d_39.b_0" shape = [96] dtype = "float32" min_val = float("-0.767027") @@ -301,6 +332,7 @@ class Program_weight_tensor_parameter_30: class Program_weight_tensor_parameter_31: name = "parameter_31" + original_name = "batch_norm2d_39.w_0" shape = [96] dtype = "float32" min_val = float("0.446288") @@ -312,6 +344,7 @@ class Program_weight_tensor_parameter_31: class Program_weight_tensor_parameter_32: name = "parameter_32" + original_name = "batch_norm2d_39.w_2" shape = [96] dtype = "float32" min_val = float("2.87005") @@ -323,6 +356,7 @@ class Program_weight_tensor_parameter_32: class Program_weight_tensor_parameter_33: name = "parameter_33" + original_name = "batch_norm2d_39.w_1" shape = [96] dtype = "float32" min_val = float("-2.08306") @@ -334,6 +368,7 @@ class Program_weight_tensor_parameter_33: class Program_weight_tensor_parameter_34: name = "parameter_34" + original_name = "conv2d_70.w_0" shape = [96, 96, 1, 1] dtype = "float32" min_val = float("-1.26513") @@ -345,6 +380,7 @@ class Program_weight_tensor_parameter_34: class Program_weight_tensor_parameter_35: name = "parameter_35" + original_name = "batch_norm2d_38.b_0" shape = [96] dtype = "float32" min_val = float("-0.712146") @@ -356,6 +392,7 @@ class Program_weight_tensor_parameter_35: class Program_weight_tensor_parameter_36: name = "parameter_36" + original_name = "batch_norm2d_38.w_0" shape = [96] dtype = "float32" min_val = float("0.61526") @@ -367,6 +404,7 @@ class Program_weight_tensor_parameter_36: class Program_weight_tensor_parameter_37: name = "parameter_37" + original_name = "batch_norm2d_38.w_2" shape = [96] dtype = "float32" min_val = float("0.0580731") @@ -378,6 +416,7 @@ class Program_weight_tensor_parameter_37: class Program_weight_tensor_parameter_38: name = "parameter_38" + original_name = "batch_norm2d_38.w_1" shape = [96] dtype = "float32" min_val = float("-2.55002") @@ -389,6 +428,7 @@ class Program_weight_tensor_parameter_38: class Program_weight_tensor_parameter_39: name = "parameter_39" + original_name = "conv2d_69.w_0" shape = [96, 1, 5, 5] dtype = "float32" min_val = float("-1.47908") @@ -400,6 +440,7 @@ class Program_weight_tensor_parameter_39: class Program_weight_tensor_parameter_40: name = "parameter_40" + original_name = "batch_norm2d_34.b_0" shape = [96] dtype = "float32" min_val = float("-0.734562") @@ -411,6 +452,7 @@ class Program_weight_tensor_parameter_40: class Program_weight_tensor_parameter_41: name = "parameter_41" + original_name = "batch_norm2d_34.w_0" shape = [96] dtype = "float32" min_val = float("0.176593") @@ -422,6 +464,7 @@ class Program_weight_tensor_parameter_41: class Program_weight_tensor_parameter_42: name = "parameter_42" + original_name = "batch_norm2d_34.w_2" shape = [96] dtype = "float32" min_val = float("2.69034") @@ -433,6 +476,7 @@ class Program_weight_tensor_parameter_42: class Program_weight_tensor_parameter_43: name = "parameter_43" + original_name = "batch_norm2d_34.w_1" shape = [96] dtype = "float32" min_val = float("-2.03681") @@ -444,6 +488,7 @@ class Program_weight_tensor_parameter_43: class Program_weight_tensor_parameter_44: name = "parameter_44" + original_name = "conv2d_65.w_0" shape = [96, 96, 1, 1] dtype = "float32" min_val = float("-1.34596") @@ -455,6 +500,7 @@ class Program_weight_tensor_parameter_44: class Program_weight_tensor_parameter_45: name = "parameter_45" + original_name = "batch_norm2d_37.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -464,6 +510,7 @@ class Program_weight_tensor_parameter_45: class Program_weight_tensor_parameter_46: name = "parameter_46" + original_name = "batch_norm2d_37.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -473,6 +520,7 @@ class Program_weight_tensor_parameter_46: class Program_weight_tensor_parameter_47: name = "parameter_47" + original_name = "batch_norm2d_37.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -482,6 +530,7 @@ class Program_weight_tensor_parameter_47: class Program_weight_tensor_parameter_48: name = "parameter_48" + original_name = "batch_norm2d_37.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -491,6 +540,7 @@ class Program_weight_tensor_parameter_48: class Program_weight_tensor_parameter_49: name = "parameter_49" + original_name = "conv2d_68.w_0" shape = [48, 48, 1, 1] dtype = "float32" min_val = float("-1.32546") @@ -502,6 +552,7 @@ class Program_weight_tensor_parameter_49: class Program_weight_tensor_parameter_50: name = "parameter_50" + original_name = "batch_norm2d_36.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -511,6 +562,7 @@ class Program_weight_tensor_parameter_50: class Program_weight_tensor_parameter_51: name = "parameter_51" + original_name = "batch_norm2d_36.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -520,6 +572,7 @@ class Program_weight_tensor_parameter_51: class Program_weight_tensor_parameter_52: name = "parameter_52" + original_name = "batch_norm2d_36.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -529,6 +582,7 @@ class Program_weight_tensor_parameter_52: class Program_weight_tensor_parameter_53: name = "parameter_53" + original_name = "batch_norm2d_36.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -538,6 +592,7 @@ class Program_weight_tensor_parameter_53: class Program_weight_tensor_parameter_54: name = "parameter_54" + original_name = "conv2d_67.w_0" shape = [48, 1, 5, 5] dtype = "float32" min_val = float("-1.1691") @@ -549,6 +604,7 @@ class Program_weight_tensor_parameter_54: class Program_weight_tensor_parameter_55: name = "parameter_55" + original_name = "batch_norm2d_35.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -558,6 +614,7 @@ class Program_weight_tensor_parameter_55: class Program_weight_tensor_parameter_56: name = "parameter_56" + original_name = "batch_norm2d_35.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -567,6 +624,7 @@ class Program_weight_tensor_parameter_56: class Program_weight_tensor_parameter_57: name = "parameter_57" + original_name = "batch_norm2d_35.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -576,6 +634,7 @@ class Program_weight_tensor_parameter_57: class Program_weight_tensor_parameter_58: name = "parameter_58" + original_name = "batch_norm2d_35.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -585,6 +644,7 @@ class Program_weight_tensor_parameter_58: class Program_weight_tensor_parameter_59: name = "parameter_59" + original_name = "conv2d_66.w_0" shape = [48, 48, 1, 1] dtype = "float32" min_val = float("-1.0265") @@ -596,6 +656,7 @@ class Program_weight_tensor_parameter_59: class Program_weight_tensor_parameter_60: name = "parameter_60" + original_name = "batch_norm2d_32.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -605,6 +666,7 @@ class Program_weight_tensor_parameter_60: class Program_weight_tensor_parameter_61: name = "parameter_61" + original_name = "batch_norm2d_32.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -614,6 +676,7 @@ class Program_weight_tensor_parameter_61: class Program_weight_tensor_parameter_62: name = "parameter_62" + original_name = "batch_norm2d_32.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -623,6 +686,7 @@ class Program_weight_tensor_parameter_62: class Program_weight_tensor_parameter_63: name = "parameter_63" + original_name = "batch_norm2d_32.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -632,6 +696,7 @@ class Program_weight_tensor_parameter_63: class Program_weight_tensor_parameter_64: name = "parameter_64" + original_name = "conv2d_63.w_0" shape = [48, 192, 1, 1] dtype = "float32" min_val = float("-0.960827") @@ -643,6 +708,7 @@ class Program_weight_tensor_parameter_64: class Program_weight_tensor_parameter_65: name = "parameter_65" + original_name = "batch_norm2d_33.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -652,6 +718,7 @@ class Program_weight_tensor_parameter_65: class Program_weight_tensor_parameter_66: name = "parameter_66" + original_name = "batch_norm2d_33.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -661,6 +728,7 @@ class Program_weight_tensor_parameter_66: class Program_weight_tensor_parameter_67: name = "parameter_67" + original_name = "batch_norm2d_33.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -670,6 +738,7 @@ class Program_weight_tensor_parameter_67: class Program_weight_tensor_parameter_68: name = "parameter_68" + original_name = "batch_norm2d_33.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -679,6 +748,7 @@ class Program_weight_tensor_parameter_68: class Program_weight_tensor_parameter_69: name = "parameter_69" + original_name = "conv2d_64.w_0" shape = [48, 192, 1, 1] dtype = "float32" min_val = float("-1.08864") @@ -690,6 +760,7 @@ class Program_weight_tensor_parameter_69: class Program_weight_tensor_parameter_70: name = "parameter_70" + original_name = "batch_norm2d_31.b_0" shape = [96] dtype = "float32" min_val = float("-0.558187") @@ -701,6 +772,7 @@ class Program_weight_tensor_parameter_70: class Program_weight_tensor_parameter_71: name = "parameter_71" + original_name = "batch_norm2d_31.w_0" shape = [96] dtype = "float32" min_val = float("0.778347") @@ -712,6 +784,7 @@ class Program_weight_tensor_parameter_71: class Program_weight_tensor_parameter_72: name = "parameter_72" + original_name = "batch_norm2d_31.w_2" shape = [96] dtype = "float32" min_val = float("2.30858") @@ -723,6 +796,7 @@ class Program_weight_tensor_parameter_72: class Program_weight_tensor_parameter_73: name = "parameter_73" + original_name = "batch_norm2d_31.w_1" shape = [96] dtype = "float32" min_val = float("-1.75973") @@ -734,6 +808,7 @@ class Program_weight_tensor_parameter_73: class Program_weight_tensor_parameter_74: name = "parameter_74" + original_name = "conv2d_62.w_0" shape = [96, 96, 1, 1] dtype = "float32" min_val = float("-1.03494") @@ -745,6 +820,7 @@ class Program_weight_tensor_parameter_74: class Program_weight_tensor_parameter_75: name = "parameter_75" + original_name = "batch_norm2d_30.b_0" shape = [96] dtype = "float32" min_val = float("-0.519722") @@ -756,6 +832,7 @@ class Program_weight_tensor_parameter_75: class Program_weight_tensor_parameter_76: name = "parameter_76" + original_name = "batch_norm2d_30.w_0" shape = [96] dtype = "float32" min_val = float("0.552081") @@ -767,6 +844,7 @@ class Program_weight_tensor_parameter_76: class Program_weight_tensor_parameter_77: name = "parameter_77" + original_name = "batch_norm2d_30.w_2" shape = [96] dtype = "float32" min_val = float("0.187755") @@ -778,6 +856,7 @@ class Program_weight_tensor_parameter_77: class Program_weight_tensor_parameter_78: name = "parameter_78" + original_name = "batch_norm2d_30.w_1" shape = [96] dtype = "float32" min_val = float("-2.48098") @@ -789,6 +868,7 @@ class Program_weight_tensor_parameter_78: class Program_weight_tensor_parameter_79: name = "parameter_79" + original_name = "conv2d_61.w_0" shape = [96, 1, 5, 5] dtype = "float32" min_val = float("-1.07229") @@ -800,6 +880,7 @@ class Program_weight_tensor_parameter_79: class Program_weight_tensor_parameter_80: name = "parameter_80" + original_name = "batch_norm2d_26.b_0" shape = [96] dtype = "float32" min_val = float("-0.567286") @@ -811,6 +892,7 @@ class Program_weight_tensor_parameter_80: class Program_weight_tensor_parameter_81: name = "parameter_81" + original_name = "batch_norm2d_26.w_0" shape = [96] dtype = "float32" min_val = float("0.466077") @@ -822,6 +904,7 @@ class Program_weight_tensor_parameter_81: class Program_weight_tensor_parameter_82: name = "parameter_82" + original_name = "batch_norm2d_26.w_2" shape = [96] dtype = "float32" min_val = float("2.01437") @@ -833,6 +916,7 @@ class Program_weight_tensor_parameter_82: class Program_weight_tensor_parameter_83: name = "parameter_83" + original_name = "batch_norm2d_26.w_1" shape = [96] dtype = "float32" min_val = float("-1.63445") @@ -844,6 +928,7 @@ class Program_weight_tensor_parameter_83: class Program_weight_tensor_parameter_84: name = "parameter_84" + original_name = "conv2d_57.w_0" shape = [96, 96, 1, 1] dtype = "float32" min_val = float("-1.16383") @@ -855,6 +940,7 @@ class Program_weight_tensor_parameter_84: class Program_weight_tensor_parameter_85: name = "parameter_85" + original_name = "batch_norm2d_29.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -864,6 +950,7 @@ class Program_weight_tensor_parameter_85: class Program_weight_tensor_parameter_86: name = "parameter_86" + original_name = "batch_norm2d_29.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -873,6 +960,7 @@ class Program_weight_tensor_parameter_86: class Program_weight_tensor_parameter_87: name = "parameter_87" + original_name = "batch_norm2d_29.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -882,6 +970,7 @@ class Program_weight_tensor_parameter_87: class Program_weight_tensor_parameter_88: name = "parameter_88" + original_name = "batch_norm2d_29.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -891,6 +980,7 @@ class Program_weight_tensor_parameter_88: class Program_weight_tensor_parameter_89: name = "parameter_89" + original_name = "conv2d_60.w_0" shape = [48, 48, 1, 1] dtype = "float32" min_val = float("-1.05803") @@ -902,6 +992,7 @@ class Program_weight_tensor_parameter_89: class Program_weight_tensor_parameter_90: name = "parameter_90" + original_name = "batch_norm2d_28.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -911,6 +1002,7 @@ class Program_weight_tensor_parameter_90: class Program_weight_tensor_parameter_91: name = "parameter_91" + original_name = "batch_norm2d_28.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -920,6 +1012,7 @@ class Program_weight_tensor_parameter_91: class Program_weight_tensor_parameter_92: name = "parameter_92" + original_name = "batch_norm2d_28.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -929,6 +1022,7 @@ class Program_weight_tensor_parameter_92: class Program_weight_tensor_parameter_93: name = "parameter_93" + original_name = "batch_norm2d_28.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -938,6 +1032,7 @@ class Program_weight_tensor_parameter_93: class Program_weight_tensor_parameter_94: name = "parameter_94" + original_name = "conv2d_59.w_0" shape = [48, 1, 5, 5] dtype = "float32" min_val = float("-1.24165") @@ -949,6 +1044,7 @@ class Program_weight_tensor_parameter_94: class Program_weight_tensor_parameter_95: name = "parameter_95" + original_name = "batch_norm2d_27.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -958,6 +1054,7 @@ class Program_weight_tensor_parameter_95: class Program_weight_tensor_parameter_96: name = "parameter_96" + original_name = "batch_norm2d_27.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -967,6 +1064,7 @@ class Program_weight_tensor_parameter_96: class Program_weight_tensor_parameter_97: name = "parameter_97" + original_name = "batch_norm2d_27.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -976,6 +1074,7 @@ class Program_weight_tensor_parameter_97: class Program_weight_tensor_parameter_98: name = "parameter_98" + original_name = "batch_norm2d_27.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -985,6 +1084,7 @@ class Program_weight_tensor_parameter_98: class Program_weight_tensor_parameter_99: name = "parameter_99" + original_name = "conv2d_58.w_0" shape = [48, 48, 1, 1] dtype = "float32" min_val = float("-1.20297") @@ -996,6 +1096,7 @@ class Program_weight_tensor_parameter_99: class Program_weight_tensor_parameter_100: name = "parameter_100" + original_name = "batch_norm2d_24.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1005,6 +1106,7 @@ class Program_weight_tensor_parameter_100: class Program_weight_tensor_parameter_101: name = "parameter_101" + original_name = "batch_norm2d_24.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1014,6 +1116,7 @@ class Program_weight_tensor_parameter_101: class Program_weight_tensor_parameter_102: name = "parameter_102" + original_name = "batch_norm2d_24.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -1023,6 +1126,7 @@ class Program_weight_tensor_parameter_102: class Program_weight_tensor_parameter_103: name = "parameter_103" + original_name = "batch_norm2d_24.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -1032,6 +1136,7 @@ class Program_weight_tensor_parameter_103: class Program_weight_tensor_parameter_104: name = "parameter_104" + original_name = "conv2d_55.w_0" shape = [48, 192, 1, 1] dtype = "float32" min_val = float("-1.04492") @@ -1043,6 +1148,7 @@ class Program_weight_tensor_parameter_104: class Program_weight_tensor_parameter_105: name = "parameter_105" + original_name = "batch_norm2d_25.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1052,6 +1158,7 @@ class Program_weight_tensor_parameter_105: class Program_weight_tensor_parameter_106: name = "parameter_106" + original_name = "batch_norm2d_25.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1061,6 +1168,7 @@ class Program_weight_tensor_parameter_106: class Program_weight_tensor_parameter_107: name = "parameter_107" + original_name = "batch_norm2d_25.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -1070,6 +1178,7 @@ class Program_weight_tensor_parameter_107: class Program_weight_tensor_parameter_108: name = "parameter_108" + original_name = "batch_norm2d_25.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -1079,6 +1188,7 @@ class Program_weight_tensor_parameter_108: class Program_weight_tensor_parameter_109: name = "parameter_109" + original_name = "conv2d_56.w_0" shape = [48, 192, 1, 1] dtype = "float32" min_val = float("-0.959834") @@ -1090,6 +1200,7 @@ class Program_weight_tensor_parameter_109: class Program_weight_tensor_parameter_110: name = "parameter_110" + original_name = "batch_norm2d_23.b_0" shape = [96] dtype = "float32" min_val = float("-0.471762") @@ -1101,6 +1212,7 @@ class Program_weight_tensor_parameter_110: class Program_weight_tensor_parameter_111: name = "parameter_111" + original_name = "batch_norm2d_23.w_0" shape = [96] dtype = "float32" min_val = float("0.603814") @@ -1112,6 +1224,7 @@ class Program_weight_tensor_parameter_111: class Program_weight_tensor_parameter_112: name = "parameter_112" + original_name = "batch_norm2d_23.w_2" shape = [96] dtype = "float32" min_val = float("2.80003") @@ -1123,6 +1236,7 @@ class Program_weight_tensor_parameter_112: class Program_weight_tensor_parameter_113: name = "parameter_113" + original_name = "batch_norm2d_23.w_1" shape = [96] dtype = "float32" min_val = float("-2.68788") @@ -1134,6 +1248,7 @@ class Program_weight_tensor_parameter_113: class Program_weight_tensor_parameter_114: name = "parameter_114" + original_name = "conv2d_54.w_0" shape = [96, 96, 1, 1] dtype = "float32" min_val = float("-1.119") @@ -1145,6 +1260,7 @@ class Program_weight_tensor_parameter_114: class Program_weight_tensor_parameter_115: name = "parameter_115" + original_name = "batch_norm2d_22.b_0" shape = [96] dtype = "float32" min_val = float("-0.543295") @@ -1156,6 +1272,7 @@ class Program_weight_tensor_parameter_115: class Program_weight_tensor_parameter_116: name = "parameter_116" + original_name = "batch_norm2d_22.w_0" shape = [96] dtype = "float32" min_val = float("0.618166") @@ -1167,6 +1284,7 @@ class Program_weight_tensor_parameter_116: class Program_weight_tensor_parameter_117: name = "parameter_117" + original_name = "batch_norm2d_22.w_2" shape = [96] dtype = "float32" min_val = float("0.291178") @@ -1178,6 +1296,7 @@ class Program_weight_tensor_parameter_117: class Program_weight_tensor_parameter_118: name = "parameter_118" + original_name = "batch_norm2d_22.w_1" shape = [96] dtype = "float32" min_val = float("-1.2388") @@ -1189,6 +1308,7 @@ class Program_weight_tensor_parameter_118: class Program_weight_tensor_parameter_119: name = "parameter_119" + original_name = "conv2d_53.w_0" shape = [96, 1, 5, 5] dtype = "float32" min_val = float("-1.12981") @@ -1200,6 +1320,7 @@ class Program_weight_tensor_parameter_119: class Program_weight_tensor_parameter_120: name = "parameter_120" + original_name = "batch_norm2d_18.b_0" shape = [96] dtype = "float32" min_val = float("-0.560678") @@ -1211,6 +1332,7 @@ class Program_weight_tensor_parameter_120: class Program_weight_tensor_parameter_121: name = "parameter_121" + original_name = "batch_norm2d_18.w_0" shape = [96] dtype = "float32" min_val = float("0.661022") @@ -1222,6 +1344,7 @@ class Program_weight_tensor_parameter_121: class Program_weight_tensor_parameter_122: name = "parameter_122" + original_name = "batch_norm2d_18.w_2" shape = [96] dtype = "float32" min_val = float("2.87781") @@ -1233,6 +1356,7 @@ class Program_weight_tensor_parameter_122: class Program_weight_tensor_parameter_123: name = "parameter_123" + original_name = "batch_norm2d_18.w_1" shape = [96] dtype = "float32" min_val = float("-1.62306") @@ -1244,6 +1368,7 @@ class Program_weight_tensor_parameter_123: class Program_weight_tensor_parameter_124: name = "parameter_124" + original_name = "conv2d_49.w_0" shape = [96, 96, 1, 1] dtype = "float32" min_val = float("-1.20651") @@ -1255,6 +1380,7 @@ class Program_weight_tensor_parameter_124: class Program_weight_tensor_parameter_125: name = "parameter_125" + original_name = "batch_norm2d_21.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1264,6 +1390,7 @@ class Program_weight_tensor_parameter_125: class Program_weight_tensor_parameter_126: name = "parameter_126" + original_name = "batch_norm2d_21.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1273,6 +1400,7 @@ class Program_weight_tensor_parameter_126: class Program_weight_tensor_parameter_127: name = "parameter_127" + original_name = "batch_norm2d_21.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -1282,6 +1410,7 @@ class Program_weight_tensor_parameter_127: class Program_weight_tensor_parameter_128: name = "parameter_128" + original_name = "batch_norm2d_21.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -1291,6 +1420,7 @@ class Program_weight_tensor_parameter_128: class Program_weight_tensor_parameter_129: name = "parameter_129" + original_name = "conv2d_52.w_0" shape = [48, 48, 1, 1] dtype = "float32" min_val = float("-1.26117") @@ -1302,6 +1432,7 @@ class Program_weight_tensor_parameter_129: class Program_weight_tensor_parameter_130: name = "parameter_130" + original_name = "batch_norm2d_20.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1311,6 +1442,7 @@ class Program_weight_tensor_parameter_130: class Program_weight_tensor_parameter_131: name = "parameter_131" + original_name = "batch_norm2d_20.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1320,6 +1452,7 @@ class Program_weight_tensor_parameter_131: class Program_weight_tensor_parameter_132: name = "parameter_132" + original_name = "batch_norm2d_20.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -1329,6 +1462,7 @@ class Program_weight_tensor_parameter_132: class Program_weight_tensor_parameter_133: name = "parameter_133" + original_name = "batch_norm2d_20.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -1338,6 +1472,7 @@ class Program_weight_tensor_parameter_133: class Program_weight_tensor_parameter_134: name = "parameter_134" + original_name = "conv2d_51.w_0" shape = [48, 1, 5, 5] dtype = "float32" min_val = float("-1.10175") @@ -1349,6 +1484,7 @@ class Program_weight_tensor_parameter_134: class Program_weight_tensor_parameter_135: name = "parameter_135" + original_name = "batch_norm2d_19.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1358,6 +1494,7 @@ class Program_weight_tensor_parameter_135: class Program_weight_tensor_parameter_136: name = "parameter_136" + original_name = "batch_norm2d_19.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1367,6 +1504,7 @@ class Program_weight_tensor_parameter_136: class Program_weight_tensor_parameter_137: name = "parameter_137" + original_name = "batch_norm2d_19.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -1376,6 +1514,7 @@ class Program_weight_tensor_parameter_137: class Program_weight_tensor_parameter_138: name = "parameter_138" + original_name = "batch_norm2d_19.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -1385,6 +1524,7 @@ class Program_weight_tensor_parameter_138: class Program_weight_tensor_parameter_139: name = "parameter_139" + original_name = "conv2d_50.w_0" shape = [48, 48, 1, 1] dtype = "float32" min_val = float("-1.39181") @@ -1396,6 +1536,7 @@ class Program_weight_tensor_parameter_139: class Program_weight_tensor_parameter_140: name = "parameter_140" + original_name = "batch_norm2d_16.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1405,6 +1546,7 @@ class Program_weight_tensor_parameter_140: class Program_weight_tensor_parameter_141: name = "parameter_141" + original_name = "batch_norm2d_16.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1414,6 +1556,7 @@ class Program_weight_tensor_parameter_141: class Program_weight_tensor_parameter_142: name = "parameter_142" + original_name = "batch_norm2d_16.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -1423,6 +1566,7 @@ class Program_weight_tensor_parameter_142: class Program_weight_tensor_parameter_143: name = "parameter_143" + original_name = "batch_norm2d_16.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -1432,6 +1576,7 @@ class Program_weight_tensor_parameter_143: class Program_weight_tensor_parameter_144: name = "parameter_144" + original_name = "conv2d_47.w_0" shape = [48, 192, 1, 1] dtype = "float32" min_val = float("-1.03054") @@ -1443,6 +1588,7 @@ class Program_weight_tensor_parameter_144: class Program_weight_tensor_parameter_145: name = "parameter_145" + original_name = "batch_norm2d_17.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1452,6 +1598,7 @@ class Program_weight_tensor_parameter_145: class Program_weight_tensor_parameter_146: name = "parameter_146" + original_name = "batch_norm2d_17.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1461,6 +1608,7 @@ class Program_weight_tensor_parameter_146: class Program_weight_tensor_parameter_147: name = "parameter_147" + original_name = "batch_norm2d_17.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -1470,6 +1618,7 @@ class Program_weight_tensor_parameter_147: class Program_weight_tensor_parameter_148: name = "parameter_148" + original_name = "batch_norm2d_17.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -1479,6 +1628,7 @@ class Program_weight_tensor_parameter_148: class Program_weight_tensor_parameter_149: name = "parameter_149" + original_name = "conv2d_48.w_0" shape = [48, 192, 1, 1] dtype = "float32" min_val = float("-1.0192") @@ -1490,6 +1640,7 @@ class Program_weight_tensor_parameter_149: class Program_weight_tensor_parameter_150: name = "parameter_150" + original_name = "batch_norm2d_12.b_0" shape = [96] dtype = "float32" min_val = float("-0.551726") @@ -1501,6 +1652,7 @@ class Program_weight_tensor_parameter_150: class Program_weight_tensor_parameter_151: name = "parameter_151" + original_name = "batch_norm2d_12.w_0" shape = [96] dtype = "float32" min_val = float("0.664316") @@ -1512,6 +1664,7 @@ class Program_weight_tensor_parameter_151: class Program_weight_tensor_parameter_152: name = "parameter_152" + original_name = "batch_norm2d_12.w_2" shape = [96] dtype = "float32" min_val = float("2.97301") @@ -1523,6 +1676,7 @@ class Program_weight_tensor_parameter_152: class Program_weight_tensor_parameter_153: name = "parameter_153" + original_name = "batch_norm2d_12.w_1" shape = [96] dtype = "float32" min_val = float("-1.85289") @@ -1534,6 +1688,7 @@ class Program_weight_tensor_parameter_153: class Program_weight_tensor_parameter_154: name = "parameter_154" + original_name = "conv2d_43.w_0" shape = [96, 96, 1, 1] dtype = "float32" min_val = float("-1.50373") @@ -1545,6 +1700,7 @@ class Program_weight_tensor_parameter_154: class Program_weight_tensor_parameter_155: name = "parameter_155" + original_name = "batch_norm2d_15.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1554,6 +1710,7 @@ class Program_weight_tensor_parameter_155: class Program_weight_tensor_parameter_156: name = "parameter_156" + original_name = "batch_norm2d_15.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1563,6 +1720,7 @@ class Program_weight_tensor_parameter_156: class Program_weight_tensor_parameter_157: name = "parameter_157" + original_name = "batch_norm2d_15.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -1572,6 +1730,7 @@ class Program_weight_tensor_parameter_157: class Program_weight_tensor_parameter_158: name = "parameter_158" + original_name = "batch_norm2d_15.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -1581,6 +1740,7 @@ class Program_weight_tensor_parameter_158: class Program_weight_tensor_parameter_159: name = "parameter_159" + original_name = "conv2d_46.w_0" shape = [48, 48, 1, 1] dtype = "float32" min_val = float("-0.939612") @@ -1592,6 +1752,7 @@ class Program_weight_tensor_parameter_159: class Program_weight_tensor_parameter_160: name = "parameter_160" + original_name = "batch_norm2d_14.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1601,6 +1762,7 @@ class Program_weight_tensor_parameter_160: class Program_weight_tensor_parameter_161: name = "parameter_161" + original_name = "batch_norm2d_14.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1610,6 +1772,7 @@ class Program_weight_tensor_parameter_161: class Program_weight_tensor_parameter_162: name = "parameter_162" + original_name = "batch_norm2d_14.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -1619,6 +1782,7 @@ class Program_weight_tensor_parameter_162: class Program_weight_tensor_parameter_163: name = "parameter_163" + original_name = "batch_norm2d_14.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -1628,6 +1792,7 @@ class Program_weight_tensor_parameter_163: class Program_weight_tensor_parameter_164: name = "parameter_164" + original_name = "conv2d_45.w_0" shape = [48, 1, 5, 5] dtype = "float32" min_val = float("-1.10802") @@ -1639,6 +1804,7 @@ class Program_weight_tensor_parameter_164: class Program_weight_tensor_parameter_165: name = "parameter_165" + original_name = "batch_norm2d_13.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1648,6 +1814,7 @@ class Program_weight_tensor_parameter_165: class Program_weight_tensor_parameter_166: name = "parameter_166" + original_name = "batch_norm2d_13.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1657,6 +1824,7 @@ class Program_weight_tensor_parameter_166: class Program_weight_tensor_parameter_167: name = "parameter_167" + original_name = "batch_norm2d_13.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -1666,6 +1834,7 @@ class Program_weight_tensor_parameter_167: class Program_weight_tensor_parameter_168: name = "parameter_168" + original_name = "batch_norm2d_13.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -1675,6 +1844,7 @@ class Program_weight_tensor_parameter_168: class Program_weight_tensor_parameter_169: name = "parameter_169" + original_name = "conv2d_44.w_0" shape = [48, 48, 1, 1] dtype = "float32" min_val = float("-1.00147") @@ -1686,6 +1856,7 @@ class Program_weight_tensor_parameter_169: class Program_weight_tensor_parameter_170: name = "parameter_170" + original_name = "batch_norm2d_10.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1695,6 +1866,7 @@ class Program_weight_tensor_parameter_170: class Program_weight_tensor_parameter_171: name = "parameter_171" + original_name = "batch_norm2d_10.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1704,6 +1876,7 @@ class Program_weight_tensor_parameter_171: class Program_weight_tensor_parameter_172: name = "parameter_172" + original_name = "batch_norm2d_10.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -1713,6 +1886,7 @@ class Program_weight_tensor_parameter_172: class Program_weight_tensor_parameter_173: name = "parameter_173" + original_name = "batch_norm2d_10.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -1722,6 +1896,7 @@ class Program_weight_tensor_parameter_173: class Program_weight_tensor_parameter_174: name = "parameter_174" + original_name = "conv2d_41.w_0" shape = [48, 192, 1, 1] dtype = "float32" min_val = float("-1.12391") @@ -1733,6 +1908,7 @@ class Program_weight_tensor_parameter_174: class Program_weight_tensor_parameter_175: name = "parameter_175" + original_name = "batch_norm2d_11.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1742,6 +1918,7 @@ class Program_weight_tensor_parameter_175: class Program_weight_tensor_parameter_176: name = "parameter_176" + original_name = "batch_norm2d_11.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1751,6 +1928,7 @@ class Program_weight_tensor_parameter_176: class Program_weight_tensor_parameter_177: name = "parameter_177" + original_name = "batch_norm2d_11.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -1760,6 +1938,7 @@ class Program_weight_tensor_parameter_177: class Program_weight_tensor_parameter_178: name = "parameter_178" + original_name = "batch_norm2d_11.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -1769,6 +1948,7 @@ class Program_weight_tensor_parameter_178: class Program_weight_tensor_parameter_179: name = "parameter_179" + original_name = "conv2d_42.w_0" shape = [48, 192, 1, 1] dtype = "float32" min_val = float("-1.2298") @@ -1780,6 +1960,7 @@ class Program_weight_tensor_parameter_179: class Program_weight_tensor_parameter_180: name = "parameter_180" + original_name = "batch_norm2d_6.b_0" shape = [96] dtype = "float32" min_val = float("-0.482343") @@ -1791,6 +1972,7 @@ class Program_weight_tensor_parameter_180: class Program_weight_tensor_parameter_181: name = "parameter_181" + original_name = "batch_norm2d_6.w_0" shape = [96] dtype = "float32" min_val = float("0.670714") @@ -1802,6 +1984,7 @@ class Program_weight_tensor_parameter_181: class Program_weight_tensor_parameter_182: name = "parameter_182" + original_name = "batch_norm2d_6.w_2" shape = [96] dtype = "float32" min_val = float("2.57973") @@ -1813,6 +1996,7 @@ class Program_weight_tensor_parameter_182: class Program_weight_tensor_parameter_183: name = "parameter_183" + original_name = "batch_norm2d_6.w_1" shape = [96] dtype = "float32" min_val = float("-2.01387") @@ -1824,6 +2008,7 @@ class Program_weight_tensor_parameter_183: class Program_weight_tensor_parameter_184: name = "parameter_184" + original_name = "conv2d_37.w_0" shape = [96, 96, 1, 1] dtype = "float32" min_val = float("-0.991255") @@ -1835,6 +2020,7 @@ class Program_weight_tensor_parameter_184: class Program_weight_tensor_parameter_185: name = "parameter_185" + original_name = "batch_norm2d_9.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1844,6 +2030,7 @@ class Program_weight_tensor_parameter_185: class Program_weight_tensor_parameter_186: name = "parameter_186" + original_name = "batch_norm2d_9.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1853,6 +2040,7 @@ class Program_weight_tensor_parameter_186: class Program_weight_tensor_parameter_187: name = "parameter_187" + original_name = "batch_norm2d_9.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -1862,6 +2050,7 @@ class Program_weight_tensor_parameter_187: class Program_weight_tensor_parameter_188: name = "parameter_188" + original_name = "batch_norm2d_9.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -1871,6 +2060,7 @@ class Program_weight_tensor_parameter_188: class Program_weight_tensor_parameter_189: name = "parameter_189" + original_name = "conv2d_40.w_0" shape = [48, 48, 1, 1] dtype = "float32" min_val = float("-1.11426") @@ -1882,6 +2072,7 @@ class Program_weight_tensor_parameter_189: class Program_weight_tensor_parameter_190: name = "parameter_190" + original_name = "batch_norm2d_8.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1891,6 +2082,7 @@ class Program_weight_tensor_parameter_190: class Program_weight_tensor_parameter_191: name = "parameter_191" + original_name = "batch_norm2d_8.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1900,6 +2092,7 @@ class Program_weight_tensor_parameter_191: class Program_weight_tensor_parameter_192: name = "parameter_192" + original_name = "batch_norm2d_8.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -1909,6 +2102,7 @@ class Program_weight_tensor_parameter_192: class Program_weight_tensor_parameter_193: name = "parameter_193" + original_name = "batch_norm2d_8.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -1918,6 +2112,7 @@ class Program_weight_tensor_parameter_193: class Program_weight_tensor_parameter_194: name = "parameter_194" + original_name = "conv2d_39.w_0" shape = [48, 1, 5, 5] dtype = "float32" min_val = float("-1.01961") @@ -1929,6 +2124,7 @@ class Program_weight_tensor_parameter_194: class Program_weight_tensor_parameter_195: name = "parameter_195" + original_name = "batch_norm2d_7.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1938,6 +2134,7 @@ class Program_weight_tensor_parameter_195: class Program_weight_tensor_parameter_196: name = "parameter_196" + original_name = "batch_norm2d_7.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1947,6 +2144,7 @@ class Program_weight_tensor_parameter_196: class Program_weight_tensor_parameter_197: name = "parameter_197" + original_name = "batch_norm2d_7.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -1956,6 +2154,7 @@ class Program_weight_tensor_parameter_197: class Program_weight_tensor_parameter_198: name = "parameter_198" + original_name = "batch_norm2d_7.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -1965,6 +2164,7 @@ class Program_weight_tensor_parameter_198: class Program_weight_tensor_parameter_199: name = "parameter_199" + original_name = "conv2d_38.w_0" shape = [48, 48, 1, 1] dtype = "float32" min_val = float("-0.983634") @@ -1976,6 +2176,7 @@ class Program_weight_tensor_parameter_199: class Program_weight_tensor_parameter_200: name = "parameter_200" + original_name = "batch_norm2d_4.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1985,6 +2186,7 @@ class Program_weight_tensor_parameter_200: class Program_weight_tensor_parameter_201: name = "parameter_201" + original_name = "batch_norm2d_4.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1994,6 +2196,7 @@ class Program_weight_tensor_parameter_201: class Program_weight_tensor_parameter_202: name = "parameter_202" + original_name = "batch_norm2d_4.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -2003,6 +2206,7 @@ class Program_weight_tensor_parameter_202: class Program_weight_tensor_parameter_203: name = "parameter_203" + original_name = "batch_norm2d_4.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -2012,6 +2216,7 @@ class Program_weight_tensor_parameter_203: class Program_weight_tensor_parameter_204: name = "parameter_204" + original_name = "conv2d_35.w_0" shape = [48, 192, 1, 1] dtype = "float32" min_val = float("-1.33669") @@ -2023,6 +2228,7 @@ class Program_weight_tensor_parameter_204: class Program_weight_tensor_parameter_205: name = "parameter_205" + original_name = "batch_norm2d_5.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -2032,6 +2238,7 @@ class Program_weight_tensor_parameter_205: class Program_weight_tensor_parameter_206: name = "parameter_206" + original_name = "batch_norm2d_5.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -2041,6 +2248,7 @@ class Program_weight_tensor_parameter_206: class Program_weight_tensor_parameter_207: name = "parameter_207" + original_name = "batch_norm2d_5.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -2050,6 +2258,7 @@ class Program_weight_tensor_parameter_207: class Program_weight_tensor_parameter_208: name = "parameter_208" + original_name = "batch_norm2d_5.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -2059,6 +2268,7 @@ class Program_weight_tensor_parameter_208: class Program_weight_tensor_parameter_209: name = "parameter_209" + original_name = "conv2d_36.w_0" shape = [48, 192, 1, 1] dtype = "float32" min_val = float("-1.38097") @@ -2070,6 +2280,7 @@ class Program_weight_tensor_parameter_209: class Program_weight_tensor_parameter_210: name = "parameter_210" + original_name = "batch_norm2d_3.b_0" shape = [96] dtype = "float32" min_val = float("-0.237802") @@ -2081,6 +2292,7 @@ class Program_weight_tensor_parameter_210: class Program_weight_tensor_parameter_211: name = "parameter_211" + original_name = "batch_norm2d_3.w_0" shape = [96] dtype = "float32" min_val = float("0.882038") @@ -2092,6 +2304,7 @@ class Program_weight_tensor_parameter_211: class Program_weight_tensor_parameter_212: name = "parameter_212" + original_name = "batch_norm2d_3.w_2" shape = [96] dtype = "float32" min_val = float("62.3976") @@ -2103,6 +2316,7 @@ class Program_weight_tensor_parameter_212: class Program_weight_tensor_parameter_213: name = "parameter_213" + original_name = "batch_norm2d_3.w_1" shape = [96] dtype = "float32" min_val = float("-13.5523") @@ -2114,6 +2328,7 @@ class Program_weight_tensor_parameter_213: class Program_weight_tensor_parameter_214: name = "parameter_214" + original_name = "conv2d_34.w_0" shape = [96, 512, 1, 1] dtype = "float32" min_val = float("-2.09646") @@ -2125,6 +2340,7 @@ class Program_weight_tensor_parameter_214: class Program_weight_tensor_parameter_215: name = "parameter_215" + original_name = "batch_norm2d_2.b_0" shape = [96] dtype = "float32" min_val = float("-0.587668") @@ -2136,6 +2352,7 @@ class Program_weight_tensor_parameter_215: class Program_weight_tensor_parameter_216: name = "parameter_216" + original_name = "batch_norm2d_2.w_0" shape = [96] dtype = "float32" min_val = float("0.518918") @@ -2147,6 +2364,7 @@ class Program_weight_tensor_parameter_216: class Program_weight_tensor_parameter_217: name = "parameter_217" + original_name = "batch_norm2d_2.w_2" shape = [96] dtype = "float32" min_val = float("1.99622") @@ -2158,6 +2376,7 @@ class Program_weight_tensor_parameter_217: class Program_weight_tensor_parameter_218: name = "parameter_218" + original_name = "batch_norm2d_2.w_1" shape = [96] dtype = "float32" min_val = float("-2.45523") @@ -2169,6 +2388,7 @@ class Program_weight_tensor_parameter_218: class Program_weight_tensor_parameter_219: name = "parameter_219" + original_name = "conv2d_33.w_0" shape = [96, 256, 1, 1] dtype = "float32" min_val = float("-1.24805") @@ -2180,6 +2400,7 @@ class Program_weight_tensor_parameter_219: class Program_weight_tensor_parameter_220: name = "parameter_220" + original_name = "batch_norm2d_1.b_0" shape = [96] dtype = "float32" min_val = float("-0.65098") @@ -2191,6 +2412,7 @@ class Program_weight_tensor_parameter_220: class Program_weight_tensor_parameter_221: name = "parameter_221" + original_name = "batch_norm2d_1.w_0" shape = [96] dtype = "float32" min_val = float("0.668796") @@ -2202,6 +2424,7 @@ class Program_weight_tensor_parameter_221: class Program_weight_tensor_parameter_222: name = "parameter_222" + original_name = "batch_norm2d_1.w_2" shape = [96] dtype = "float32" min_val = float("1.02184") @@ -2213,6 +2436,7 @@ class Program_weight_tensor_parameter_222: class Program_weight_tensor_parameter_223: name = "parameter_223" + original_name = "batch_norm2d_1.w_1" shape = [96] dtype = "float32" min_val = float("-1.73317") @@ -2224,6 +2448,7 @@ class Program_weight_tensor_parameter_223: class Program_weight_tensor_parameter_224: name = "parameter_224" + original_name = "conv2d_32.w_0" shape = [96, 128, 1, 1] dtype = "float32" min_val = float("-1.41707") @@ -2235,6 +2460,7 @@ class Program_weight_tensor_parameter_224: class Program_weight_tensor_parameter_225: name = "parameter_225" + original_name = "batch_norm2d_0.b_0" shape = [96] dtype = "float32" min_val = float("-0.628921") @@ -2246,6 +2472,7 @@ class Program_weight_tensor_parameter_225: class Program_weight_tensor_parameter_226: name = "parameter_226" + original_name = "batch_norm2d_0.w_0" shape = [96] dtype = "float32" min_val = float("0.430088") @@ -2257,6 +2484,7 @@ class Program_weight_tensor_parameter_226: class Program_weight_tensor_parameter_227: name = "parameter_227" + original_name = "batch_norm2d_0.w_2" shape = [96] dtype = "float32" min_val = float("0.484083") @@ -2268,6 +2496,7 @@ class Program_weight_tensor_parameter_227: class Program_weight_tensor_parameter_228: name = "parameter_228" + original_name = "batch_norm2d_0.w_1" shape = [96] dtype = "float32" min_val = float("-3.19169") @@ -2279,6 +2508,7 @@ class Program_weight_tensor_parameter_228: class Program_weight_tensor_parameter_229: name = "parameter_229" + original_name = "conv2d_31.w_0" shape = [96, 64, 1, 1] dtype = "float32" min_val = float("-1.13987") @@ -2290,6 +2520,7 @@ class Program_weight_tensor_parameter_229: class Program_weight_tensor_parameter_230: name = "parameter_230" + original_name = "batch_norm_26.b_0" shape = [512] dtype = "float32" min_val = float("-1.71557") @@ -2301,6 +2532,7 @@ class Program_weight_tensor_parameter_230: class Program_weight_tensor_parameter_231: name = "parameter_231" + original_name = "batch_norm_26.w_0" shape = [512] dtype = "float32" min_val = float("1.58651") @@ -2312,6 +2544,7 @@ class Program_weight_tensor_parameter_231: class Program_weight_tensor_parameter_232: name = "parameter_232" + original_name = "batch_norm_26.w_2" shape = [512] dtype = "float32" min_val = float("1.19276") @@ -2323,6 +2556,7 @@ class Program_weight_tensor_parameter_232: class Program_weight_tensor_parameter_233: name = "parameter_233" + original_name = "batch_norm_26.w_1" shape = [512] dtype = "float32" min_val = float("-1.21129") @@ -2334,6 +2568,7 @@ class Program_weight_tensor_parameter_233: class Program_weight_tensor_parameter_234: name = "parameter_234" + original_name = "conv2d_30.w_0" shape = [512, 512, 1, 1] dtype = "float32" min_val = float("-3.54385") @@ -2345,6 +2580,7 @@ class Program_weight_tensor_parameter_234: class Program_weight_tensor_parameter_235: name = "parameter_235" + original_name = "conv2d_29.b_0" shape = [512] dtype = "float32" min_val = float("-0.57823") @@ -2356,6 +2592,7 @@ class Program_weight_tensor_parameter_235: class Program_weight_tensor_parameter_236: name = "parameter_236" + original_name = "conv2d_29.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-1.77783") @@ -2367,6 +2604,7 @@ class Program_weight_tensor_parameter_236: class Program_weight_tensor_parameter_237: name = "parameter_237" + original_name = "conv2d_28.b_0" shape = [128] dtype = "float32" min_val = float("-0.320701") @@ -2378,6 +2616,7 @@ class Program_weight_tensor_parameter_237: class Program_weight_tensor_parameter_238: name = "parameter_238" + original_name = "conv2d_28.w_0" shape = [128, 512, 1, 1] dtype = "float32" min_val = float("-2.31025") @@ -2389,6 +2628,7 @@ class Program_weight_tensor_parameter_238: class Program_weight_tensor_parameter_239: name = "parameter_239" + original_name = "batch_norm_25.b_0" shape = [512] dtype = "float32" min_val = float("-1.17827") @@ -2400,6 +2640,7 @@ class Program_weight_tensor_parameter_239: class Program_weight_tensor_parameter_240: name = "parameter_240" + original_name = "batch_norm_25.w_0" shape = [512] dtype = "float32" min_val = float("0.275889") @@ -2411,6 +2652,7 @@ class Program_weight_tensor_parameter_240: class Program_weight_tensor_parameter_241: name = "parameter_241" + original_name = "batch_norm_25.w_2" shape = [512] dtype = "float32" min_val = float("0.00226333") @@ -2422,6 +2664,7 @@ class Program_weight_tensor_parameter_241: class Program_weight_tensor_parameter_242: name = "parameter_242" + original_name = "batch_norm_25.w_1" shape = [512] dtype = "float32" min_val = float("-2.23921") @@ -2433,6 +2676,7 @@ class Program_weight_tensor_parameter_242: class Program_weight_tensor_parameter_243: name = "parameter_243" + original_name = "conv2d_27.w_0" shape = [512, 1, 5, 5] dtype = "float32" min_val = float("-2.88061") @@ -2444,6 +2688,7 @@ class Program_weight_tensor_parameter_243: class Program_weight_tensor_parameter_244: name = "parameter_244" + original_name = "batch_norm_24.b_0" shape = [512] dtype = "float32" min_val = float("-1.73834") @@ -2455,6 +2700,7 @@ class Program_weight_tensor_parameter_244: class Program_weight_tensor_parameter_245: name = "parameter_245" + original_name = "batch_norm_24.w_0" shape = [512] dtype = "float32" min_val = float("-1.10718") @@ -2466,6 +2712,7 @@ class Program_weight_tensor_parameter_245: class Program_weight_tensor_parameter_246: name = "parameter_246" + original_name = "batch_norm_24.w_2" shape = [512] dtype = "float32" min_val = float("1.11557") @@ -2477,6 +2724,7 @@ class Program_weight_tensor_parameter_246: class Program_weight_tensor_parameter_247: name = "parameter_247" + original_name = "batch_norm_24.w_1" shape = [512] dtype = "float32" min_val = float("-2.90242") @@ -2488,6 +2736,7 @@ class Program_weight_tensor_parameter_247: class Program_weight_tensor_parameter_248: name = "parameter_248" + original_name = "conv2d_26.w_0" shape = [512, 256, 1, 1] dtype = "float32" min_val = float("-3.45796") @@ -2499,6 +2748,7 @@ class Program_weight_tensor_parameter_248: class Program_weight_tensor_parameter_249: name = "parameter_249" + original_name = "conv2d_25.b_0" shape = [256] dtype = "float32" min_val = float("-0.80427") @@ -2510,6 +2760,7 @@ class Program_weight_tensor_parameter_249: class Program_weight_tensor_parameter_250: name = "parameter_250" + original_name = "conv2d_25.w_0" shape = [256, 64, 1, 1] dtype = "float32" min_val = float("-1.24379") @@ -2521,6 +2772,7 @@ class Program_weight_tensor_parameter_250: class Program_weight_tensor_parameter_251: name = "parameter_251" + original_name = "conv2d_24.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -2530,6 +2782,7 @@ class Program_weight_tensor_parameter_251: class Program_weight_tensor_parameter_252: name = "parameter_252" + original_name = "conv2d_24.w_0" shape = [64, 256, 1, 1] dtype = "float32" min_val = float("-2.02268") @@ -2541,6 +2794,7 @@ class Program_weight_tensor_parameter_252: class Program_weight_tensor_parameter_253: name = "parameter_253" + original_name = "batch_norm_23.b_0" shape = [256] dtype = "float32" min_val = float("-0.790023") @@ -2552,6 +2806,7 @@ class Program_weight_tensor_parameter_253: class Program_weight_tensor_parameter_254: name = "parameter_254" + original_name = "batch_norm_23.w_0" shape = [256] dtype = "float32" min_val = float("0.316892") @@ -2563,6 +2818,7 @@ class Program_weight_tensor_parameter_254: class Program_weight_tensor_parameter_255: name = "parameter_255" + original_name = "batch_norm_23.w_2" shape = [256] dtype = "float32" min_val = float("0.0101875") @@ -2574,6 +2830,7 @@ class Program_weight_tensor_parameter_255: class Program_weight_tensor_parameter_256: name = "parameter_256" + original_name = "batch_norm_23.w_1" shape = [256] dtype = "float32" min_val = float("-2.88328") @@ -2585,6 +2842,7 @@ class Program_weight_tensor_parameter_256: class Program_weight_tensor_parameter_257: name = "parameter_257" + original_name = "conv2d_23.w_0" shape = [256, 1, 5, 5] dtype = "float32" min_val = float("-1.77129") @@ -2596,6 +2854,7 @@ class Program_weight_tensor_parameter_257: class Program_weight_tensor_parameter_258: name = "parameter_258" + original_name = "batch_norm_22.b_0" shape = [256] dtype = "float32" min_val = float("-1.60557") @@ -2607,6 +2866,7 @@ class Program_weight_tensor_parameter_258: class Program_weight_tensor_parameter_259: name = "parameter_259" + original_name = "batch_norm_22.w_0" shape = [256] dtype = "float32" min_val = float("-0.291733") @@ -2618,6 +2878,7 @@ class Program_weight_tensor_parameter_259: class Program_weight_tensor_parameter_260: name = "parameter_260" + original_name = "batch_norm_22.w_2" shape = [256] dtype = "float32" min_val = float("1.77819") @@ -2629,6 +2890,7 @@ class Program_weight_tensor_parameter_260: class Program_weight_tensor_parameter_261: name = "parameter_261" + original_name = "batch_norm_22.w_1" shape = [256] dtype = "float32" min_val = float("-5.22167") @@ -2640,6 +2902,7 @@ class Program_weight_tensor_parameter_261: class Program_weight_tensor_parameter_262: name = "parameter_262" + original_name = "conv2d_22.w_0" shape = [256, 256, 1, 1] dtype = "float32" min_val = float("-3.89883") @@ -2651,6 +2914,7 @@ class Program_weight_tensor_parameter_262: class Program_weight_tensor_parameter_263: name = "parameter_263" + original_name = "batch_norm_21.b_0" shape = [256] dtype = "float32" min_val = float("-1.86908") @@ -2662,6 +2926,7 @@ class Program_weight_tensor_parameter_263: class Program_weight_tensor_parameter_264: name = "parameter_264" + original_name = "batch_norm_21.w_0" shape = [256] dtype = "float32" min_val = float("0.244702") @@ -2673,6 +2938,7 @@ class Program_weight_tensor_parameter_264: class Program_weight_tensor_parameter_265: name = "parameter_265" + original_name = "batch_norm_21.w_2" shape = [256] dtype = "float32" min_val = float("0.0060596") @@ -2684,6 +2950,7 @@ class Program_weight_tensor_parameter_265: class Program_weight_tensor_parameter_266: name = "parameter_266" + original_name = "batch_norm_21.w_1" shape = [256] dtype = "float32" min_val = float("-1.89884") @@ -2695,6 +2962,7 @@ class Program_weight_tensor_parameter_266: class Program_weight_tensor_parameter_267: name = "parameter_267" + original_name = "conv2d_21.w_0" shape = [256, 1, 5, 5] dtype = "float32" min_val = float("-2.88969") @@ -2706,6 +2974,7 @@ class Program_weight_tensor_parameter_267: class Program_weight_tensor_parameter_268: name = "parameter_268" + original_name = "batch_norm_20.b_0" shape = [256] dtype = "float32" min_val = float("-1.63077") @@ -2717,6 +2986,7 @@ class Program_weight_tensor_parameter_268: class Program_weight_tensor_parameter_269: name = "parameter_269" + original_name = "batch_norm_20.w_0" shape = [256] dtype = "float32" min_val = float("-0.855135") @@ -2728,6 +2998,7 @@ class Program_weight_tensor_parameter_269: class Program_weight_tensor_parameter_270: name = "parameter_270" + original_name = "batch_norm_20.w_2" shape = [256] dtype = "float32" min_val = float("1.82152") @@ -2739,6 +3010,7 @@ class Program_weight_tensor_parameter_270: class Program_weight_tensor_parameter_271: name = "parameter_271" + original_name = "batch_norm_20.w_1" shape = [256] dtype = "float32" min_val = float("-5.81962") @@ -2750,6 +3022,7 @@ class Program_weight_tensor_parameter_271: class Program_weight_tensor_parameter_272: name = "parameter_272" + original_name = "conv2d_20.w_0" shape = [256, 256, 1, 1] dtype = "float32" min_val = float("-2.04992") @@ -2761,6 +3034,7 @@ class Program_weight_tensor_parameter_272: class Program_weight_tensor_parameter_273: name = "parameter_273" + original_name = "batch_norm_19.b_0" shape = [256] dtype = "float32" min_val = float("-1.87227") @@ -2772,6 +3046,7 @@ class Program_weight_tensor_parameter_273: class Program_weight_tensor_parameter_274: name = "parameter_274" + original_name = "batch_norm_19.w_0" shape = [256] dtype = "float32" min_val = float("0.172692") @@ -2783,6 +3058,7 @@ class Program_weight_tensor_parameter_274: class Program_weight_tensor_parameter_275: name = "parameter_275" + original_name = "batch_norm_19.w_2" shape = [256] dtype = "float32" min_val = float("0.00188424") @@ -2794,6 +3070,7 @@ class Program_weight_tensor_parameter_275: class Program_weight_tensor_parameter_276: name = "parameter_276" + original_name = "batch_norm_19.w_1" shape = [256] dtype = "float32" min_val = float("-6.434") @@ -2805,6 +3082,7 @@ class Program_weight_tensor_parameter_276: class Program_weight_tensor_parameter_277: name = "parameter_277" + original_name = "conv2d_19.w_0" shape = [256, 1, 5, 5] dtype = "float32" min_val = float("-2.38921") @@ -2816,6 +3094,7 @@ class Program_weight_tensor_parameter_277: class Program_weight_tensor_parameter_278: name = "parameter_278" + original_name = "batch_norm_18.b_0" shape = [256] dtype = "float32" min_val = float("-1.58909") @@ -2827,6 +3106,7 @@ class Program_weight_tensor_parameter_278: class Program_weight_tensor_parameter_279: name = "parameter_279" + original_name = "batch_norm_18.w_0" shape = [256] dtype = "float32" min_val = float("-0.556579") @@ -2838,6 +3118,7 @@ class Program_weight_tensor_parameter_279: class Program_weight_tensor_parameter_280: name = "parameter_280" + original_name = "batch_norm_18.w_2" shape = [256] dtype = "float32" min_val = float("2.55615") @@ -2849,6 +3130,7 @@ class Program_weight_tensor_parameter_280: class Program_weight_tensor_parameter_281: name = "parameter_281" + original_name = "batch_norm_18.w_1" shape = [256] dtype = "float32" min_val = float("-4.30402") @@ -2860,6 +3142,7 @@ class Program_weight_tensor_parameter_281: class Program_weight_tensor_parameter_282: name = "parameter_282" + original_name = "conv2d_18.w_0" shape = [256, 256, 1, 1] dtype = "float32" min_val = float("-2.02532") @@ -2871,6 +3154,7 @@ class Program_weight_tensor_parameter_282: class Program_weight_tensor_parameter_283: name = "parameter_283" + original_name = "batch_norm_17.b_0" shape = [256] dtype = "float32" min_val = float("-1.81883") @@ -2882,6 +3166,7 @@ class Program_weight_tensor_parameter_283: class Program_weight_tensor_parameter_284: name = "parameter_284" + original_name = "batch_norm_17.w_0" shape = [256] dtype = "float32" min_val = float("0.217403") @@ -2893,6 +3178,7 @@ class Program_weight_tensor_parameter_284: class Program_weight_tensor_parameter_285: name = "parameter_285" + original_name = "batch_norm_17.w_2" shape = [256] dtype = "float32" min_val = float("0.00311972") @@ -2904,6 +3190,7 @@ class Program_weight_tensor_parameter_285: class Program_weight_tensor_parameter_286: name = "parameter_286" + original_name = "batch_norm_17.w_1" shape = [256] dtype = "float32" min_val = float("-1.89883") @@ -2915,6 +3202,7 @@ class Program_weight_tensor_parameter_286: class Program_weight_tensor_parameter_287: name = "parameter_287" + original_name = "conv2d_17.w_0" shape = [256, 1, 5, 5] dtype = "float32" min_val = float("-2.15778") @@ -2926,6 +3214,7 @@ class Program_weight_tensor_parameter_287: class Program_weight_tensor_parameter_288: name = "parameter_288" + original_name = "batch_norm_16.b_0" shape = [256] dtype = "float32" min_val = float("-1.60112") @@ -2937,6 +3226,7 @@ class Program_weight_tensor_parameter_288: class Program_weight_tensor_parameter_289: name = "parameter_289" + original_name = "batch_norm_16.w_0" shape = [256] dtype = "float32" min_val = float("-0.401886") @@ -2948,6 +3238,7 @@ class Program_weight_tensor_parameter_289: class Program_weight_tensor_parameter_290: name = "parameter_290" + original_name = "batch_norm_16.w_2" shape = [256] dtype = "float32" min_val = float("1.74456") @@ -2959,6 +3250,7 @@ class Program_weight_tensor_parameter_290: class Program_weight_tensor_parameter_291: name = "parameter_291" + original_name = "batch_norm_16.w_1" shape = [256] dtype = "float32" min_val = float("-4.92284") @@ -2970,6 +3262,7 @@ class Program_weight_tensor_parameter_291: class Program_weight_tensor_parameter_292: name = "parameter_292" + original_name = "conv2d_16.w_0" shape = [256, 256, 1, 1] dtype = "float32" min_val = float("-2.3778") @@ -2981,6 +3274,7 @@ class Program_weight_tensor_parameter_292: class Program_weight_tensor_parameter_293: name = "parameter_293" + original_name = "batch_norm_15.b_0" shape = [256] dtype = "float32" min_val = float("-1.78632") @@ -2992,6 +3286,7 @@ class Program_weight_tensor_parameter_293: class Program_weight_tensor_parameter_294: name = "parameter_294" + original_name = "batch_norm_15.w_0" shape = [256] dtype = "float32" min_val = float("-0.745224") @@ -3003,6 +3298,7 @@ class Program_weight_tensor_parameter_294: class Program_weight_tensor_parameter_295: name = "parameter_295" + original_name = "batch_norm_15.w_2" shape = [256] dtype = "float32" min_val = float("0.0041583") @@ -3014,6 +3310,7 @@ class Program_weight_tensor_parameter_295: class Program_weight_tensor_parameter_296: name = "parameter_296" + original_name = "batch_norm_15.w_1" shape = [256] dtype = "float32" min_val = float("-2.81039") @@ -3025,6 +3322,7 @@ class Program_weight_tensor_parameter_296: class Program_weight_tensor_parameter_297: name = "parameter_297" + original_name = "conv2d_15.w_0" shape = [256, 1, 5, 5] dtype = "float32" min_val = float("-2.44779") @@ -3036,6 +3334,7 @@ class Program_weight_tensor_parameter_297: class Program_weight_tensor_parameter_298: name = "parameter_298" + original_name = "batch_norm_14.b_0" shape = [256] dtype = "float32" min_val = float("-1.65779") @@ -3047,6 +3346,7 @@ class Program_weight_tensor_parameter_298: class Program_weight_tensor_parameter_299: name = "parameter_299" + original_name = "batch_norm_14.w_0" shape = [256] dtype = "float32" min_val = float("-0.342176") @@ -3058,6 +3358,7 @@ class Program_weight_tensor_parameter_299: class Program_weight_tensor_parameter_300: name = "parameter_300" + original_name = "batch_norm_14.w_2" shape = [256] dtype = "float32" min_val = float("0.485063") @@ -3069,6 +3370,7 @@ class Program_weight_tensor_parameter_300: class Program_weight_tensor_parameter_301: name = "parameter_301" + original_name = "batch_norm_14.w_1" shape = [256] dtype = "float32" min_val = float("-3.58223") @@ -3080,6 +3382,7 @@ class Program_weight_tensor_parameter_301: class Program_weight_tensor_parameter_302: name = "parameter_302" + original_name = "conv2d_14.w_0" shape = [256, 256, 1, 1] dtype = "float32" min_val = float("-3.08002") @@ -3091,6 +3394,7 @@ class Program_weight_tensor_parameter_302: class Program_weight_tensor_parameter_303: name = "parameter_303" + original_name = "batch_norm_13.b_0" shape = [256] dtype = "float32" min_val = float("-1.93348") @@ -3102,6 +3406,7 @@ class Program_weight_tensor_parameter_303: class Program_weight_tensor_parameter_304: name = "parameter_304" + original_name = "batch_norm_13.w_0" shape = [256] dtype = "float32" min_val = float("-0.324591") @@ -3113,6 +3418,7 @@ class Program_weight_tensor_parameter_304: class Program_weight_tensor_parameter_305: name = "parameter_305" + original_name = "batch_norm_13.w_2" shape = [256] dtype = "float32" min_val = float("0.00156945") @@ -3124,6 +3430,7 @@ class Program_weight_tensor_parameter_305: class Program_weight_tensor_parameter_306: name = "parameter_306" + original_name = "batch_norm_13.w_1" shape = [256] dtype = "float32" min_val = float("-3.11251") @@ -3135,6 +3442,7 @@ class Program_weight_tensor_parameter_306: class Program_weight_tensor_parameter_307: name = "parameter_307" + original_name = "conv2d_13.w_0" shape = [256, 1, 5, 5] dtype = "float32" min_val = float("-2.05819") @@ -3146,6 +3454,7 @@ class Program_weight_tensor_parameter_307: class Program_weight_tensor_parameter_308: name = "parameter_308" + original_name = "batch_norm_12.b_0" shape = [256] dtype = "float32" min_val = float("-1.77141") @@ -3157,6 +3466,7 @@ class Program_weight_tensor_parameter_308: class Program_weight_tensor_parameter_309: name = "parameter_309" + original_name = "batch_norm_12.w_0" shape = [256] dtype = "float32" min_val = float("-0.457618") @@ -3168,6 +3478,7 @@ class Program_weight_tensor_parameter_309: class Program_weight_tensor_parameter_310: name = "parameter_310" + original_name = "batch_norm_12.w_2" shape = [256] dtype = "float32" min_val = float("0.80419") @@ -3179,6 +3490,7 @@ class Program_weight_tensor_parameter_310: class Program_weight_tensor_parameter_311: name = "parameter_311" + original_name = "batch_norm_12.w_1" shape = [256] dtype = "float32" min_val = float("-10.4407") @@ -3190,6 +3502,7 @@ class Program_weight_tensor_parameter_311: class Program_weight_tensor_parameter_312: name = "parameter_312" + original_name = "conv2d_12.w_0" shape = [256, 128, 1, 1] dtype = "float32" min_val = float("-2.04216") @@ -3201,6 +3514,7 @@ class Program_weight_tensor_parameter_312: class Program_weight_tensor_parameter_313: name = "parameter_313" + original_name = "batch_norm_11.b_0" shape = [128] dtype = "float32" min_val = float("-1.43421") @@ -3212,6 +3526,7 @@ class Program_weight_tensor_parameter_313: class Program_weight_tensor_parameter_314: name = "parameter_314" + original_name = "batch_norm_11.w_0" shape = [128] dtype = "float32" min_val = float("0.200504") @@ -3223,6 +3538,7 @@ class Program_weight_tensor_parameter_314: class Program_weight_tensor_parameter_315: name = "parameter_315" + original_name = "batch_norm_11.w_2" shape = [128] dtype = "float32" min_val = float("0.00605463") @@ -3234,6 +3550,7 @@ class Program_weight_tensor_parameter_315: class Program_weight_tensor_parameter_316: name = "parameter_316" + original_name = "batch_norm_11.w_1" shape = [128] dtype = "float32" min_val = float("-3.71303") @@ -3245,6 +3562,7 @@ class Program_weight_tensor_parameter_316: class Program_weight_tensor_parameter_317: name = "parameter_317" + original_name = "conv2d_11.w_0" shape = [128, 1, 3, 3] dtype = "float32" min_val = float("-0.881321") @@ -3256,6 +3574,7 @@ class Program_weight_tensor_parameter_317: class Program_weight_tensor_parameter_318: name = "parameter_318" + original_name = "batch_norm_10.b_0" shape = [128] dtype = "float32" min_val = float("-1.94309") @@ -3267,6 +3586,7 @@ class Program_weight_tensor_parameter_318: class Program_weight_tensor_parameter_319: name = "parameter_319" + original_name = "batch_norm_10.w_0" shape = [128] dtype = "float32" min_val = float("0.13086") @@ -3278,6 +3598,7 @@ class Program_weight_tensor_parameter_319: class Program_weight_tensor_parameter_320: name = "parameter_320" + original_name = "batch_norm_10.w_2" shape = [128] dtype = "float32" min_val = float("0.644214") @@ -3289,6 +3610,7 @@ class Program_weight_tensor_parameter_320: class Program_weight_tensor_parameter_321: name = "parameter_321" + original_name = "batch_norm_10.w_1" shape = [128] dtype = "float32" min_val = float("-6.86004") @@ -3300,6 +3622,7 @@ class Program_weight_tensor_parameter_321: class Program_weight_tensor_parameter_322: name = "parameter_322" + original_name = "conv2d_10.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-2.5569") @@ -3311,6 +3634,7 @@ class Program_weight_tensor_parameter_322: class Program_weight_tensor_parameter_323: name = "parameter_323" + original_name = "batch_norm_9.b_0" shape = [128] dtype = "float32" min_val = float("-1.60027") @@ -3322,6 +3646,7 @@ class Program_weight_tensor_parameter_323: class Program_weight_tensor_parameter_324: name = "parameter_324" + original_name = "batch_norm_9.w_0" shape = [128] dtype = "float32" min_val = float("-0.405329") @@ -3333,6 +3658,7 @@ class Program_weight_tensor_parameter_324: class Program_weight_tensor_parameter_325: name = "parameter_325" + original_name = "batch_norm_9.w_2" shape = [128] dtype = "float32" min_val = float("8.45411e-05") @@ -3344,6 +3670,7 @@ class Program_weight_tensor_parameter_325: class Program_weight_tensor_parameter_326: name = "parameter_326" + original_name = "batch_norm_9.w_1" shape = [128] dtype = "float32" min_val = float("-2.28361") @@ -3355,6 +3682,7 @@ class Program_weight_tensor_parameter_326: class Program_weight_tensor_parameter_327: name = "parameter_327" + original_name = "conv2d_9.w_0" shape = [128, 1, 3, 3] dtype = "float32" min_val = float("-2.17113") @@ -3366,6 +3694,7 @@ class Program_weight_tensor_parameter_327: class Program_weight_tensor_parameter_328: name = "parameter_328" + original_name = "batch_norm_8.b_0" shape = [128] dtype = "float32" min_val = float("-1.26719") @@ -3377,6 +3706,7 @@ class Program_weight_tensor_parameter_328: class Program_weight_tensor_parameter_329: name = "parameter_329" + original_name = "batch_norm_8.w_0" shape = [128] dtype = "float32" min_val = float("-0.879856") @@ -3388,6 +3718,7 @@ class Program_weight_tensor_parameter_329: class Program_weight_tensor_parameter_330: name = "parameter_330" + original_name = "batch_norm_8.w_2" shape = [128] dtype = "float32" min_val = float("0.323433") @@ -3399,6 +3730,7 @@ class Program_weight_tensor_parameter_330: class Program_weight_tensor_parameter_331: name = "parameter_331" + original_name = "batch_norm_8.w_1" shape = [128] dtype = "float32" min_val = float("-9.41271") @@ -3410,6 +3742,7 @@ class Program_weight_tensor_parameter_331: class Program_weight_tensor_parameter_332: name = "parameter_332" + original_name = "conv2d_8.w_0" shape = [128, 64, 1, 1] dtype = "float32" min_val = float("-2.16179") @@ -3421,6 +3754,7 @@ class Program_weight_tensor_parameter_332: class Program_weight_tensor_parameter_333: name = "parameter_333" + original_name = "batch_norm_7.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -3430,6 +3764,7 @@ class Program_weight_tensor_parameter_333: class Program_weight_tensor_parameter_334: name = "parameter_334" + original_name = "batch_norm_7.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -3439,6 +3774,7 @@ class Program_weight_tensor_parameter_334: class Program_weight_tensor_parameter_335: name = "parameter_335" + original_name = "batch_norm_7.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -3448,6 +3784,7 @@ class Program_weight_tensor_parameter_335: class Program_weight_tensor_parameter_336: name = "parameter_336" + original_name = "batch_norm_7.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -3457,6 +3794,7 @@ class Program_weight_tensor_parameter_336: class Program_weight_tensor_parameter_337: name = "parameter_337" + original_name = "conv2d_7.w_0" shape = [64, 1, 3, 3] dtype = "float32" min_val = float("-0.796547") @@ -3468,6 +3806,7 @@ class Program_weight_tensor_parameter_337: class Program_weight_tensor_parameter_338: name = "parameter_338" + original_name = "batch_norm_6.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -3477,6 +3816,7 @@ class Program_weight_tensor_parameter_338: class Program_weight_tensor_parameter_339: name = "parameter_339" + original_name = "batch_norm_6.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -3486,6 +3826,7 @@ class Program_weight_tensor_parameter_339: class Program_weight_tensor_parameter_340: name = "parameter_340" + original_name = "batch_norm_6.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -3495,6 +3836,7 @@ class Program_weight_tensor_parameter_340: class Program_weight_tensor_parameter_341: name = "parameter_341" + original_name = "batch_norm_6.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -3504,6 +3846,7 @@ class Program_weight_tensor_parameter_341: class Program_weight_tensor_parameter_342: name = "parameter_342" + original_name = "conv2d_6.w_0" shape = [64, 64, 1, 1] dtype = "float32" min_val = float("-2.60463") @@ -3515,6 +3858,7 @@ class Program_weight_tensor_parameter_342: class Program_weight_tensor_parameter_343: name = "parameter_343" + original_name = "batch_norm_5.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -3524,6 +3868,7 @@ class Program_weight_tensor_parameter_343: class Program_weight_tensor_parameter_344: name = "parameter_344" + original_name = "batch_norm_5.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -3533,6 +3878,7 @@ class Program_weight_tensor_parameter_344: class Program_weight_tensor_parameter_345: name = "parameter_345" + original_name = "batch_norm_5.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -3542,6 +3888,7 @@ class Program_weight_tensor_parameter_345: class Program_weight_tensor_parameter_346: name = "parameter_346" + original_name = "batch_norm_5.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -3551,6 +3898,7 @@ class Program_weight_tensor_parameter_346: class Program_weight_tensor_parameter_347: name = "parameter_347" + original_name = "conv2d_5.w_0" shape = [64, 1, 3, 3] dtype = "float32" min_val = float("-2.32673") @@ -3562,6 +3910,7 @@ class Program_weight_tensor_parameter_347: class Program_weight_tensor_parameter_348: name = "parameter_348" + original_name = "batch_norm_4.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -3571,6 +3920,7 @@ class Program_weight_tensor_parameter_348: class Program_weight_tensor_parameter_349: name = "parameter_349" + original_name = "batch_norm_4.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -3580,6 +3930,7 @@ class Program_weight_tensor_parameter_349: class Program_weight_tensor_parameter_350: name = "parameter_350" + original_name = "batch_norm_4.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -3589,6 +3940,7 @@ class Program_weight_tensor_parameter_350: class Program_weight_tensor_parameter_351: name = "parameter_351" + original_name = "batch_norm_4.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -3598,6 +3950,7 @@ class Program_weight_tensor_parameter_351: class Program_weight_tensor_parameter_352: name = "parameter_352" + original_name = "conv2d_4.w_0" shape = [64, 32, 1, 1] dtype = "float32" min_val = float("-2.34407") @@ -3609,6 +3962,7 @@ class Program_weight_tensor_parameter_352: class Program_weight_tensor_parameter_353: name = "parameter_353" + original_name = "batch_norm_3.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -3618,6 +3972,7 @@ class Program_weight_tensor_parameter_353: class Program_weight_tensor_parameter_354: name = "parameter_354" + original_name = "batch_norm_3.w_0" shape = [32] dtype = "float32" min_val = float("0") @@ -3627,6 +3982,7 @@ class Program_weight_tensor_parameter_354: class Program_weight_tensor_parameter_355: name = "parameter_355" + original_name = "batch_norm_3.w_2" shape = [32] dtype = "float32" min_val = float("0") @@ -3636,6 +3992,7 @@ class Program_weight_tensor_parameter_355: class Program_weight_tensor_parameter_356: name = "parameter_356" + original_name = "batch_norm_3.w_1" shape = [32] dtype = "float32" min_val = float("0") @@ -3645,6 +4002,7 @@ class Program_weight_tensor_parameter_356: class Program_weight_tensor_parameter_357: name = "parameter_357" + original_name = "conv2d_3.w_0" shape = [32, 1, 3, 3] dtype = "float32" min_val = float("-0.866371") @@ -3656,6 +4014,7 @@ class Program_weight_tensor_parameter_357: class Program_weight_tensor_parameter_358: name = "parameter_358" + original_name = "batch_norm_2.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -3665,6 +4024,7 @@ class Program_weight_tensor_parameter_358: class Program_weight_tensor_parameter_359: name = "parameter_359" + original_name = "batch_norm_2.w_0" shape = [32] dtype = "float32" min_val = float("0") @@ -3674,6 +4034,7 @@ class Program_weight_tensor_parameter_359: class Program_weight_tensor_parameter_360: name = "parameter_360" + original_name = "batch_norm_2.w_2" shape = [32] dtype = "float32" min_val = float("0") @@ -3683,6 +4044,7 @@ class Program_weight_tensor_parameter_360: class Program_weight_tensor_parameter_361: name = "parameter_361" + original_name = "batch_norm_2.w_1" shape = [32] dtype = "float32" min_val = float("0") @@ -3692,6 +4054,7 @@ class Program_weight_tensor_parameter_361: class Program_weight_tensor_parameter_362: name = "parameter_362" + original_name = "conv2d_2.w_0" shape = [32, 16, 1, 1] dtype = "float32" min_val = float("-3.98461") @@ -3703,6 +4066,7 @@ class Program_weight_tensor_parameter_362: class Program_weight_tensor_parameter_363: name = "parameter_363" + original_name = "batch_norm_1.b_0" shape = [16] dtype = "float32" min_val = float("0") @@ -3712,6 +4076,7 @@ class Program_weight_tensor_parameter_363: class Program_weight_tensor_parameter_364: name = "parameter_364" + original_name = "batch_norm_1.w_0" shape = [16] dtype = "float32" min_val = float("0") @@ -3721,6 +4086,7 @@ class Program_weight_tensor_parameter_364: class Program_weight_tensor_parameter_365: name = "parameter_365" + original_name = "batch_norm_1.w_2" shape = [16] dtype = "float32" min_val = float("0") @@ -3730,6 +4096,7 @@ class Program_weight_tensor_parameter_365: class Program_weight_tensor_parameter_366: name = "parameter_366" + original_name = "batch_norm_1.w_1" shape = [16] dtype = "float32" min_val = float("0") @@ -3739,6 +4106,7 @@ class Program_weight_tensor_parameter_366: class Program_weight_tensor_parameter_367: name = "parameter_367" + original_name = "conv2d_1.w_0" shape = [16, 1, 3, 3] dtype = "float32" min_val = float("-3.11002") @@ -3750,6 +4118,7 @@ class Program_weight_tensor_parameter_367: class Program_weight_tensor_parameter_368: name = "parameter_368" + original_name = "batch_norm_0.b_0" shape = [16] dtype = "float32" min_val = float("0") @@ -3759,6 +4128,7 @@ class Program_weight_tensor_parameter_368: class Program_weight_tensor_parameter_369: name = "parameter_369" + original_name = "batch_norm_0.w_0" shape = [16] dtype = "float32" min_val = float("0") @@ -3768,6 +4138,7 @@ class Program_weight_tensor_parameter_369: class Program_weight_tensor_parameter_370: name = "parameter_370" + original_name = "batch_norm_0.w_2" shape = [16] dtype = "float32" min_val = float("0") @@ -3777,6 +4148,7 @@ class Program_weight_tensor_parameter_370: class Program_weight_tensor_parameter_371: name = "parameter_371" + original_name = "batch_norm_0.w_1" shape = [16] dtype = "float32" min_val = float("0") @@ -3786,6 +4158,7 @@ class Program_weight_tensor_parameter_371: class Program_weight_tensor_parameter_372: name = "parameter_372" + original_name = "conv2d_0.w_0" shape = [16, 3, 3, 3] dtype = "float32" min_val = float("-2.21975") diff --git a/paddle_samples/PaddleX/SLANet/subgraph_2/input_meta.py b/paddle_samples/PaddleX/SLANet/subgraph_2/input_meta.py index 42e981cb0..474ff5d5f 100644 --- a/paddle_samples/PaddleX/SLANet/subgraph_2/input_meta.py +++ b/paddle_samples/PaddleX/SLANet/subgraph_2/input_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_data_0: name = "data_0" + original_name = "var_664" shape = [4, 3, 488, 488] dtype = "float32" min_val = float("-2.1179") diff --git a/paddle_samples/PaddleX/SLANet/subgraph_2/weight_meta.py b/paddle_samples/PaddleX/SLANet/subgraph_2/weight_meta.py index 8009c7b7b..f193e4e40 100644 --- a/paddle_samples/PaddleX/SLANet/subgraph_2/weight_meta.py +++ b/paddle_samples/PaddleX/SLANet/subgraph_2/weight_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_parameter_0: name = "parameter_0" + original_name = "batch_norm2d_42.b_0" shape = [96] dtype = "float32" min_val = float("-0.24959") @@ -11,6 +12,7 @@ class Program_weight_tensor_parameter_0: class Program_weight_tensor_parameter_1: name = "parameter_1" + original_name = "batch_norm2d_42.w_0" shape = [96] dtype = "float32" min_val = float("0.449565") @@ -22,6 +24,7 @@ class Program_weight_tensor_parameter_1: class Program_weight_tensor_parameter_2: name = "parameter_2" + original_name = "batch_norm2d_42.w_2" shape = [96] dtype = "float32" min_val = float("2.93068") @@ -33,6 +36,7 @@ class Program_weight_tensor_parameter_2: class Program_weight_tensor_parameter_3: name = "parameter_3" + original_name = "batch_norm2d_42.w_1" shape = [96] dtype = "float32" min_val = float("-2.34994") @@ -44,6 +48,7 @@ class Program_weight_tensor_parameter_3: class Program_weight_tensor_parameter_4: name = "parameter_4" + original_name = "conv2d_73.w_0" shape = [96, 96, 1, 1] dtype = "float32" min_val = float("-1.04498") @@ -55,6 +60,7 @@ class Program_weight_tensor_parameter_4: class Program_weight_tensor_parameter_5: name = "parameter_5" + original_name = "batch_norm2d_45.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -64,6 +70,7 @@ class Program_weight_tensor_parameter_5: class Program_weight_tensor_parameter_6: name = "parameter_6" + original_name = "batch_norm2d_45.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -73,6 +80,7 @@ class Program_weight_tensor_parameter_6: class Program_weight_tensor_parameter_7: name = "parameter_7" + original_name = "batch_norm2d_45.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -82,6 +90,7 @@ class Program_weight_tensor_parameter_7: class Program_weight_tensor_parameter_8: name = "parameter_8" + original_name = "batch_norm2d_45.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -91,6 +100,7 @@ class Program_weight_tensor_parameter_8: class Program_weight_tensor_parameter_9: name = "parameter_9" + original_name = "conv2d_76.w_0" shape = [48, 48, 1, 1] dtype = "float32" min_val = float("-1.21852") @@ -102,6 +112,7 @@ class Program_weight_tensor_parameter_9: class Program_weight_tensor_parameter_10: name = "parameter_10" + original_name = "batch_norm2d_44.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -111,6 +122,7 @@ class Program_weight_tensor_parameter_10: class Program_weight_tensor_parameter_11: name = "parameter_11" + original_name = "batch_norm2d_44.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -120,6 +132,7 @@ class Program_weight_tensor_parameter_11: class Program_weight_tensor_parameter_12: name = "parameter_12" + original_name = "batch_norm2d_44.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -129,6 +142,7 @@ class Program_weight_tensor_parameter_12: class Program_weight_tensor_parameter_13: name = "parameter_13" + original_name = "batch_norm2d_44.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -138,6 +152,7 @@ class Program_weight_tensor_parameter_13: class Program_weight_tensor_parameter_14: name = "parameter_14" + original_name = "conv2d_75.w_0" shape = [48, 1, 5, 5] dtype = "float32" min_val = float("-1.18004") @@ -149,6 +164,7 @@ class Program_weight_tensor_parameter_14: class Program_weight_tensor_parameter_15: name = "parameter_15" + original_name = "batch_norm2d_43.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -158,6 +174,7 @@ class Program_weight_tensor_parameter_15: class Program_weight_tensor_parameter_16: name = "parameter_16" + original_name = "batch_norm2d_43.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -167,6 +184,7 @@ class Program_weight_tensor_parameter_16: class Program_weight_tensor_parameter_17: name = "parameter_17" + original_name = "batch_norm2d_43.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -176,6 +194,7 @@ class Program_weight_tensor_parameter_17: class Program_weight_tensor_parameter_18: name = "parameter_18" + original_name = "batch_norm2d_43.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -185,6 +204,7 @@ class Program_weight_tensor_parameter_18: class Program_weight_tensor_parameter_19: name = "parameter_19" + original_name = "conv2d_74.w_0" shape = [48, 48, 1, 1] dtype = "float32" min_val = float("-1.20729") @@ -196,6 +216,7 @@ class Program_weight_tensor_parameter_19: class Program_weight_tensor_parameter_20: name = "parameter_20" + original_name = "batch_norm2d_40.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -205,6 +226,7 @@ class Program_weight_tensor_parameter_20: class Program_weight_tensor_parameter_21: name = "parameter_21" + original_name = "batch_norm2d_40.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -214,6 +236,7 @@ class Program_weight_tensor_parameter_21: class Program_weight_tensor_parameter_22: name = "parameter_22" + original_name = "batch_norm2d_40.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -223,6 +246,7 @@ class Program_weight_tensor_parameter_22: class Program_weight_tensor_parameter_23: name = "parameter_23" + original_name = "batch_norm2d_40.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -232,6 +256,7 @@ class Program_weight_tensor_parameter_23: class Program_weight_tensor_parameter_24: name = "parameter_24" + original_name = "conv2d_71.w_0" shape = [48, 192, 1, 1] dtype = "float32" min_val = float("-1.53561") @@ -243,6 +268,7 @@ class Program_weight_tensor_parameter_24: class Program_weight_tensor_parameter_25: name = "parameter_25" + original_name = "batch_norm2d_41.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -252,6 +278,7 @@ class Program_weight_tensor_parameter_25: class Program_weight_tensor_parameter_26: name = "parameter_26" + original_name = "batch_norm2d_41.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -261,6 +288,7 @@ class Program_weight_tensor_parameter_26: class Program_weight_tensor_parameter_27: name = "parameter_27" + original_name = "batch_norm2d_41.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -270,6 +298,7 @@ class Program_weight_tensor_parameter_27: class Program_weight_tensor_parameter_28: name = "parameter_28" + original_name = "batch_norm2d_41.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -279,6 +308,7 @@ class Program_weight_tensor_parameter_28: class Program_weight_tensor_parameter_29: name = "parameter_29" + original_name = "conv2d_72.w_0" shape = [48, 192, 1, 1] dtype = "float32" min_val = float("-1.21655") @@ -290,6 +320,7 @@ class Program_weight_tensor_parameter_29: class Program_weight_tensor_parameter_30: name = "parameter_30" + original_name = "batch_norm2d_39.b_0" shape = [96] dtype = "float32" min_val = float("-0.767027") @@ -301,6 +332,7 @@ class Program_weight_tensor_parameter_30: class Program_weight_tensor_parameter_31: name = "parameter_31" + original_name = "batch_norm2d_39.w_0" shape = [96] dtype = "float32" min_val = float("0.446288") @@ -312,6 +344,7 @@ class Program_weight_tensor_parameter_31: class Program_weight_tensor_parameter_32: name = "parameter_32" + original_name = "batch_norm2d_39.w_2" shape = [96] dtype = "float32" min_val = float("2.87005") @@ -323,6 +356,7 @@ class Program_weight_tensor_parameter_32: class Program_weight_tensor_parameter_33: name = "parameter_33" + original_name = "batch_norm2d_39.w_1" shape = [96] dtype = "float32" min_val = float("-2.08306") @@ -334,6 +368,7 @@ class Program_weight_tensor_parameter_33: class Program_weight_tensor_parameter_34: name = "parameter_34" + original_name = "conv2d_70.w_0" shape = [96, 96, 1, 1] dtype = "float32" min_val = float("-1.26513") @@ -345,6 +380,7 @@ class Program_weight_tensor_parameter_34: class Program_weight_tensor_parameter_35: name = "parameter_35" + original_name = "batch_norm2d_38.b_0" shape = [96] dtype = "float32" min_val = float("-0.712146") @@ -356,6 +392,7 @@ class Program_weight_tensor_parameter_35: class Program_weight_tensor_parameter_36: name = "parameter_36" + original_name = "batch_norm2d_38.w_0" shape = [96] dtype = "float32" min_val = float("0.61526") @@ -367,6 +404,7 @@ class Program_weight_tensor_parameter_36: class Program_weight_tensor_parameter_37: name = "parameter_37" + original_name = "batch_norm2d_38.w_2" shape = [96] dtype = "float32" min_val = float("0.0580731") @@ -378,6 +416,7 @@ class Program_weight_tensor_parameter_37: class Program_weight_tensor_parameter_38: name = "parameter_38" + original_name = "batch_norm2d_38.w_1" shape = [96] dtype = "float32" min_val = float("-2.55002") @@ -389,6 +428,7 @@ class Program_weight_tensor_parameter_38: class Program_weight_tensor_parameter_39: name = "parameter_39" + original_name = "conv2d_69.w_0" shape = [96, 1, 5, 5] dtype = "float32" min_val = float("-1.47908") @@ -400,6 +440,7 @@ class Program_weight_tensor_parameter_39: class Program_weight_tensor_parameter_40: name = "parameter_40" + original_name = "batch_norm2d_34.b_0" shape = [96] dtype = "float32" min_val = float("-0.734562") @@ -411,6 +452,7 @@ class Program_weight_tensor_parameter_40: class Program_weight_tensor_parameter_41: name = "parameter_41" + original_name = "batch_norm2d_34.w_0" shape = [96] dtype = "float32" min_val = float("0.176593") @@ -422,6 +464,7 @@ class Program_weight_tensor_parameter_41: class Program_weight_tensor_parameter_42: name = "parameter_42" + original_name = "batch_norm2d_34.w_2" shape = [96] dtype = "float32" min_val = float("2.69034") @@ -433,6 +476,7 @@ class Program_weight_tensor_parameter_42: class Program_weight_tensor_parameter_43: name = "parameter_43" + original_name = "batch_norm2d_34.w_1" shape = [96] dtype = "float32" min_val = float("-2.03681") @@ -444,6 +488,7 @@ class Program_weight_tensor_parameter_43: class Program_weight_tensor_parameter_44: name = "parameter_44" + original_name = "conv2d_65.w_0" shape = [96, 96, 1, 1] dtype = "float32" min_val = float("-1.34596") @@ -455,6 +500,7 @@ class Program_weight_tensor_parameter_44: class Program_weight_tensor_parameter_45: name = "parameter_45" + original_name = "batch_norm2d_37.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -464,6 +510,7 @@ class Program_weight_tensor_parameter_45: class Program_weight_tensor_parameter_46: name = "parameter_46" + original_name = "batch_norm2d_37.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -473,6 +520,7 @@ class Program_weight_tensor_parameter_46: class Program_weight_tensor_parameter_47: name = "parameter_47" + original_name = "batch_norm2d_37.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -482,6 +530,7 @@ class Program_weight_tensor_parameter_47: class Program_weight_tensor_parameter_48: name = "parameter_48" + original_name = "batch_norm2d_37.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -491,6 +540,7 @@ class Program_weight_tensor_parameter_48: class Program_weight_tensor_parameter_49: name = "parameter_49" + original_name = "conv2d_68.w_0" shape = [48, 48, 1, 1] dtype = "float32" min_val = float("-1.32546") @@ -502,6 +552,7 @@ class Program_weight_tensor_parameter_49: class Program_weight_tensor_parameter_50: name = "parameter_50" + original_name = "batch_norm2d_36.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -511,6 +562,7 @@ class Program_weight_tensor_parameter_50: class Program_weight_tensor_parameter_51: name = "parameter_51" + original_name = "batch_norm2d_36.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -520,6 +572,7 @@ class Program_weight_tensor_parameter_51: class Program_weight_tensor_parameter_52: name = "parameter_52" + original_name = "batch_norm2d_36.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -529,6 +582,7 @@ class Program_weight_tensor_parameter_52: class Program_weight_tensor_parameter_53: name = "parameter_53" + original_name = "batch_norm2d_36.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -538,6 +592,7 @@ class Program_weight_tensor_parameter_53: class Program_weight_tensor_parameter_54: name = "parameter_54" + original_name = "conv2d_67.w_0" shape = [48, 1, 5, 5] dtype = "float32" min_val = float("-1.1691") @@ -549,6 +604,7 @@ class Program_weight_tensor_parameter_54: class Program_weight_tensor_parameter_55: name = "parameter_55" + original_name = "batch_norm2d_35.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -558,6 +614,7 @@ class Program_weight_tensor_parameter_55: class Program_weight_tensor_parameter_56: name = "parameter_56" + original_name = "batch_norm2d_35.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -567,6 +624,7 @@ class Program_weight_tensor_parameter_56: class Program_weight_tensor_parameter_57: name = "parameter_57" + original_name = "batch_norm2d_35.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -576,6 +634,7 @@ class Program_weight_tensor_parameter_57: class Program_weight_tensor_parameter_58: name = "parameter_58" + original_name = "batch_norm2d_35.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -585,6 +644,7 @@ class Program_weight_tensor_parameter_58: class Program_weight_tensor_parameter_59: name = "parameter_59" + original_name = "conv2d_66.w_0" shape = [48, 48, 1, 1] dtype = "float32" min_val = float("-1.0265") @@ -596,6 +656,7 @@ class Program_weight_tensor_parameter_59: class Program_weight_tensor_parameter_60: name = "parameter_60" + original_name = "batch_norm2d_32.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -605,6 +666,7 @@ class Program_weight_tensor_parameter_60: class Program_weight_tensor_parameter_61: name = "parameter_61" + original_name = "batch_norm2d_32.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -614,6 +676,7 @@ class Program_weight_tensor_parameter_61: class Program_weight_tensor_parameter_62: name = "parameter_62" + original_name = "batch_norm2d_32.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -623,6 +686,7 @@ class Program_weight_tensor_parameter_62: class Program_weight_tensor_parameter_63: name = "parameter_63" + original_name = "batch_norm2d_32.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -632,6 +696,7 @@ class Program_weight_tensor_parameter_63: class Program_weight_tensor_parameter_64: name = "parameter_64" + original_name = "conv2d_63.w_0" shape = [48, 192, 1, 1] dtype = "float32" min_val = float("-0.960827") @@ -643,6 +708,7 @@ class Program_weight_tensor_parameter_64: class Program_weight_tensor_parameter_65: name = "parameter_65" + original_name = "batch_norm2d_33.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -652,6 +718,7 @@ class Program_weight_tensor_parameter_65: class Program_weight_tensor_parameter_66: name = "parameter_66" + original_name = "batch_norm2d_33.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -661,6 +728,7 @@ class Program_weight_tensor_parameter_66: class Program_weight_tensor_parameter_67: name = "parameter_67" + original_name = "batch_norm2d_33.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -670,6 +738,7 @@ class Program_weight_tensor_parameter_67: class Program_weight_tensor_parameter_68: name = "parameter_68" + original_name = "batch_norm2d_33.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -679,6 +748,7 @@ class Program_weight_tensor_parameter_68: class Program_weight_tensor_parameter_69: name = "parameter_69" + original_name = "conv2d_64.w_0" shape = [48, 192, 1, 1] dtype = "float32" min_val = float("-1.08864") @@ -690,6 +760,7 @@ class Program_weight_tensor_parameter_69: class Program_weight_tensor_parameter_70: name = "parameter_70" + original_name = "batch_norm2d_31.b_0" shape = [96] dtype = "float32" min_val = float("-0.558187") @@ -701,6 +772,7 @@ class Program_weight_tensor_parameter_70: class Program_weight_tensor_parameter_71: name = "parameter_71" + original_name = "batch_norm2d_31.w_0" shape = [96] dtype = "float32" min_val = float("0.778347") @@ -712,6 +784,7 @@ class Program_weight_tensor_parameter_71: class Program_weight_tensor_parameter_72: name = "parameter_72" + original_name = "batch_norm2d_31.w_2" shape = [96] dtype = "float32" min_val = float("2.30858") @@ -723,6 +796,7 @@ class Program_weight_tensor_parameter_72: class Program_weight_tensor_parameter_73: name = "parameter_73" + original_name = "batch_norm2d_31.w_1" shape = [96] dtype = "float32" min_val = float("-1.75973") @@ -734,6 +808,7 @@ class Program_weight_tensor_parameter_73: class Program_weight_tensor_parameter_74: name = "parameter_74" + original_name = "conv2d_62.w_0" shape = [96, 96, 1, 1] dtype = "float32" min_val = float("-1.03494") @@ -745,6 +820,7 @@ class Program_weight_tensor_parameter_74: class Program_weight_tensor_parameter_75: name = "parameter_75" + original_name = "batch_norm2d_30.b_0" shape = [96] dtype = "float32" min_val = float("-0.519722") @@ -756,6 +832,7 @@ class Program_weight_tensor_parameter_75: class Program_weight_tensor_parameter_76: name = "parameter_76" + original_name = "batch_norm2d_30.w_0" shape = [96] dtype = "float32" min_val = float("0.552081") @@ -767,6 +844,7 @@ class Program_weight_tensor_parameter_76: class Program_weight_tensor_parameter_77: name = "parameter_77" + original_name = "batch_norm2d_30.w_2" shape = [96] dtype = "float32" min_val = float("0.187755") @@ -778,6 +856,7 @@ class Program_weight_tensor_parameter_77: class Program_weight_tensor_parameter_78: name = "parameter_78" + original_name = "batch_norm2d_30.w_1" shape = [96] dtype = "float32" min_val = float("-2.48098") @@ -789,6 +868,7 @@ class Program_weight_tensor_parameter_78: class Program_weight_tensor_parameter_79: name = "parameter_79" + original_name = "conv2d_61.w_0" shape = [96, 1, 5, 5] dtype = "float32" min_val = float("-1.07229") @@ -800,6 +880,7 @@ class Program_weight_tensor_parameter_79: class Program_weight_tensor_parameter_80: name = "parameter_80" + original_name = "batch_norm2d_26.b_0" shape = [96] dtype = "float32" min_val = float("-0.567286") @@ -811,6 +892,7 @@ class Program_weight_tensor_parameter_80: class Program_weight_tensor_parameter_81: name = "parameter_81" + original_name = "batch_norm2d_26.w_0" shape = [96] dtype = "float32" min_val = float("0.466077") @@ -822,6 +904,7 @@ class Program_weight_tensor_parameter_81: class Program_weight_tensor_parameter_82: name = "parameter_82" + original_name = "batch_norm2d_26.w_2" shape = [96] dtype = "float32" min_val = float("2.01437") @@ -833,6 +916,7 @@ class Program_weight_tensor_parameter_82: class Program_weight_tensor_parameter_83: name = "parameter_83" + original_name = "batch_norm2d_26.w_1" shape = [96] dtype = "float32" min_val = float("-1.63445") @@ -844,6 +928,7 @@ class Program_weight_tensor_parameter_83: class Program_weight_tensor_parameter_84: name = "parameter_84" + original_name = "conv2d_57.w_0" shape = [96, 96, 1, 1] dtype = "float32" min_val = float("-1.16383") @@ -855,6 +940,7 @@ class Program_weight_tensor_parameter_84: class Program_weight_tensor_parameter_85: name = "parameter_85" + original_name = "batch_norm2d_29.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -864,6 +950,7 @@ class Program_weight_tensor_parameter_85: class Program_weight_tensor_parameter_86: name = "parameter_86" + original_name = "batch_norm2d_29.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -873,6 +960,7 @@ class Program_weight_tensor_parameter_86: class Program_weight_tensor_parameter_87: name = "parameter_87" + original_name = "batch_norm2d_29.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -882,6 +970,7 @@ class Program_weight_tensor_parameter_87: class Program_weight_tensor_parameter_88: name = "parameter_88" + original_name = "batch_norm2d_29.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -891,6 +980,7 @@ class Program_weight_tensor_parameter_88: class Program_weight_tensor_parameter_89: name = "parameter_89" + original_name = "conv2d_60.w_0" shape = [48, 48, 1, 1] dtype = "float32" min_val = float("-1.05803") @@ -902,6 +992,7 @@ class Program_weight_tensor_parameter_89: class Program_weight_tensor_parameter_90: name = "parameter_90" + original_name = "batch_norm2d_28.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -911,6 +1002,7 @@ class Program_weight_tensor_parameter_90: class Program_weight_tensor_parameter_91: name = "parameter_91" + original_name = "batch_norm2d_28.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -920,6 +1012,7 @@ class Program_weight_tensor_parameter_91: class Program_weight_tensor_parameter_92: name = "parameter_92" + original_name = "batch_norm2d_28.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -929,6 +1022,7 @@ class Program_weight_tensor_parameter_92: class Program_weight_tensor_parameter_93: name = "parameter_93" + original_name = "batch_norm2d_28.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -938,6 +1032,7 @@ class Program_weight_tensor_parameter_93: class Program_weight_tensor_parameter_94: name = "parameter_94" + original_name = "conv2d_59.w_0" shape = [48, 1, 5, 5] dtype = "float32" min_val = float("-1.24165") @@ -949,6 +1044,7 @@ class Program_weight_tensor_parameter_94: class Program_weight_tensor_parameter_95: name = "parameter_95" + original_name = "batch_norm2d_27.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -958,6 +1054,7 @@ class Program_weight_tensor_parameter_95: class Program_weight_tensor_parameter_96: name = "parameter_96" + original_name = "batch_norm2d_27.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -967,6 +1064,7 @@ class Program_weight_tensor_parameter_96: class Program_weight_tensor_parameter_97: name = "parameter_97" + original_name = "batch_norm2d_27.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -976,6 +1074,7 @@ class Program_weight_tensor_parameter_97: class Program_weight_tensor_parameter_98: name = "parameter_98" + original_name = "batch_norm2d_27.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -985,6 +1084,7 @@ class Program_weight_tensor_parameter_98: class Program_weight_tensor_parameter_99: name = "parameter_99" + original_name = "conv2d_58.w_0" shape = [48, 48, 1, 1] dtype = "float32" min_val = float("-1.20297") @@ -996,6 +1096,7 @@ class Program_weight_tensor_parameter_99: class Program_weight_tensor_parameter_100: name = "parameter_100" + original_name = "batch_norm2d_24.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1005,6 +1106,7 @@ class Program_weight_tensor_parameter_100: class Program_weight_tensor_parameter_101: name = "parameter_101" + original_name = "batch_norm2d_24.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1014,6 +1116,7 @@ class Program_weight_tensor_parameter_101: class Program_weight_tensor_parameter_102: name = "parameter_102" + original_name = "batch_norm2d_24.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -1023,6 +1126,7 @@ class Program_weight_tensor_parameter_102: class Program_weight_tensor_parameter_103: name = "parameter_103" + original_name = "batch_norm2d_24.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -1032,6 +1136,7 @@ class Program_weight_tensor_parameter_103: class Program_weight_tensor_parameter_104: name = "parameter_104" + original_name = "conv2d_55.w_0" shape = [48, 192, 1, 1] dtype = "float32" min_val = float("-1.04492") @@ -1043,6 +1148,7 @@ class Program_weight_tensor_parameter_104: class Program_weight_tensor_parameter_105: name = "parameter_105" + original_name = "batch_norm2d_25.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1052,6 +1158,7 @@ class Program_weight_tensor_parameter_105: class Program_weight_tensor_parameter_106: name = "parameter_106" + original_name = "batch_norm2d_25.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1061,6 +1168,7 @@ class Program_weight_tensor_parameter_106: class Program_weight_tensor_parameter_107: name = "parameter_107" + original_name = "batch_norm2d_25.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -1070,6 +1178,7 @@ class Program_weight_tensor_parameter_107: class Program_weight_tensor_parameter_108: name = "parameter_108" + original_name = "batch_norm2d_25.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -1079,6 +1188,7 @@ class Program_weight_tensor_parameter_108: class Program_weight_tensor_parameter_109: name = "parameter_109" + original_name = "conv2d_56.w_0" shape = [48, 192, 1, 1] dtype = "float32" min_val = float("-0.959834") @@ -1090,6 +1200,7 @@ class Program_weight_tensor_parameter_109: class Program_weight_tensor_parameter_110: name = "parameter_110" + original_name = "batch_norm2d_23.b_0" shape = [96] dtype = "float32" min_val = float("-0.471762") @@ -1101,6 +1212,7 @@ class Program_weight_tensor_parameter_110: class Program_weight_tensor_parameter_111: name = "parameter_111" + original_name = "batch_norm2d_23.w_0" shape = [96] dtype = "float32" min_val = float("0.603814") @@ -1112,6 +1224,7 @@ class Program_weight_tensor_parameter_111: class Program_weight_tensor_parameter_112: name = "parameter_112" + original_name = "batch_norm2d_23.w_2" shape = [96] dtype = "float32" min_val = float("2.80003") @@ -1123,6 +1236,7 @@ class Program_weight_tensor_parameter_112: class Program_weight_tensor_parameter_113: name = "parameter_113" + original_name = "batch_norm2d_23.w_1" shape = [96] dtype = "float32" min_val = float("-2.68788") @@ -1134,6 +1248,7 @@ class Program_weight_tensor_parameter_113: class Program_weight_tensor_parameter_114: name = "parameter_114" + original_name = "conv2d_54.w_0" shape = [96, 96, 1, 1] dtype = "float32" min_val = float("-1.119") @@ -1145,6 +1260,7 @@ class Program_weight_tensor_parameter_114: class Program_weight_tensor_parameter_115: name = "parameter_115" + original_name = "batch_norm2d_22.b_0" shape = [96] dtype = "float32" min_val = float("-0.543295") @@ -1156,6 +1272,7 @@ class Program_weight_tensor_parameter_115: class Program_weight_tensor_parameter_116: name = "parameter_116" + original_name = "batch_norm2d_22.w_0" shape = [96] dtype = "float32" min_val = float("0.618166") @@ -1167,6 +1284,7 @@ class Program_weight_tensor_parameter_116: class Program_weight_tensor_parameter_117: name = "parameter_117" + original_name = "batch_norm2d_22.w_2" shape = [96] dtype = "float32" min_val = float("0.291178") @@ -1178,6 +1296,7 @@ class Program_weight_tensor_parameter_117: class Program_weight_tensor_parameter_118: name = "parameter_118" + original_name = "batch_norm2d_22.w_1" shape = [96] dtype = "float32" min_val = float("-1.2388") @@ -1189,6 +1308,7 @@ class Program_weight_tensor_parameter_118: class Program_weight_tensor_parameter_119: name = "parameter_119" + original_name = "conv2d_53.w_0" shape = [96, 1, 5, 5] dtype = "float32" min_val = float("-1.12981") @@ -1200,6 +1320,7 @@ class Program_weight_tensor_parameter_119: class Program_weight_tensor_parameter_120: name = "parameter_120" + original_name = "batch_norm2d_18.b_0" shape = [96] dtype = "float32" min_val = float("-0.560678") @@ -1211,6 +1332,7 @@ class Program_weight_tensor_parameter_120: class Program_weight_tensor_parameter_121: name = "parameter_121" + original_name = "batch_norm2d_18.w_0" shape = [96] dtype = "float32" min_val = float("0.661022") @@ -1222,6 +1344,7 @@ class Program_weight_tensor_parameter_121: class Program_weight_tensor_parameter_122: name = "parameter_122" + original_name = "batch_norm2d_18.w_2" shape = [96] dtype = "float32" min_val = float("2.87781") @@ -1233,6 +1356,7 @@ class Program_weight_tensor_parameter_122: class Program_weight_tensor_parameter_123: name = "parameter_123" + original_name = "batch_norm2d_18.w_1" shape = [96] dtype = "float32" min_val = float("-1.62306") @@ -1244,6 +1368,7 @@ class Program_weight_tensor_parameter_123: class Program_weight_tensor_parameter_124: name = "parameter_124" + original_name = "conv2d_49.w_0" shape = [96, 96, 1, 1] dtype = "float32" min_val = float("-1.20651") @@ -1255,6 +1380,7 @@ class Program_weight_tensor_parameter_124: class Program_weight_tensor_parameter_125: name = "parameter_125" + original_name = "batch_norm2d_21.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1264,6 +1390,7 @@ class Program_weight_tensor_parameter_125: class Program_weight_tensor_parameter_126: name = "parameter_126" + original_name = "batch_norm2d_21.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1273,6 +1400,7 @@ class Program_weight_tensor_parameter_126: class Program_weight_tensor_parameter_127: name = "parameter_127" + original_name = "batch_norm2d_21.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -1282,6 +1410,7 @@ class Program_weight_tensor_parameter_127: class Program_weight_tensor_parameter_128: name = "parameter_128" + original_name = "batch_norm2d_21.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -1291,6 +1420,7 @@ class Program_weight_tensor_parameter_128: class Program_weight_tensor_parameter_129: name = "parameter_129" + original_name = "conv2d_52.w_0" shape = [48, 48, 1, 1] dtype = "float32" min_val = float("-1.26117") @@ -1302,6 +1432,7 @@ class Program_weight_tensor_parameter_129: class Program_weight_tensor_parameter_130: name = "parameter_130" + original_name = "batch_norm2d_20.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1311,6 +1442,7 @@ class Program_weight_tensor_parameter_130: class Program_weight_tensor_parameter_131: name = "parameter_131" + original_name = "batch_norm2d_20.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1320,6 +1452,7 @@ class Program_weight_tensor_parameter_131: class Program_weight_tensor_parameter_132: name = "parameter_132" + original_name = "batch_norm2d_20.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -1329,6 +1462,7 @@ class Program_weight_tensor_parameter_132: class Program_weight_tensor_parameter_133: name = "parameter_133" + original_name = "batch_norm2d_20.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -1338,6 +1472,7 @@ class Program_weight_tensor_parameter_133: class Program_weight_tensor_parameter_134: name = "parameter_134" + original_name = "conv2d_51.w_0" shape = [48, 1, 5, 5] dtype = "float32" min_val = float("-1.10175") @@ -1349,6 +1484,7 @@ class Program_weight_tensor_parameter_134: class Program_weight_tensor_parameter_135: name = "parameter_135" + original_name = "batch_norm2d_19.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1358,6 +1494,7 @@ class Program_weight_tensor_parameter_135: class Program_weight_tensor_parameter_136: name = "parameter_136" + original_name = "batch_norm2d_19.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1367,6 +1504,7 @@ class Program_weight_tensor_parameter_136: class Program_weight_tensor_parameter_137: name = "parameter_137" + original_name = "batch_norm2d_19.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -1376,6 +1514,7 @@ class Program_weight_tensor_parameter_137: class Program_weight_tensor_parameter_138: name = "parameter_138" + original_name = "batch_norm2d_19.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -1385,6 +1524,7 @@ class Program_weight_tensor_parameter_138: class Program_weight_tensor_parameter_139: name = "parameter_139" + original_name = "conv2d_50.w_0" shape = [48, 48, 1, 1] dtype = "float32" min_val = float("-1.39181") @@ -1396,6 +1536,7 @@ class Program_weight_tensor_parameter_139: class Program_weight_tensor_parameter_140: name = "parameter_140" + original_name = "batch_norm2d_16.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1405,6 +1546,7 @@ class Program_weight_tensor_parameter_140: class Program_weight_tensor_parameter_141: name = "parameter_141" + original_name = "batch_norm2d_16.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1414,6 +1556,7 @@ class Program_weight_tensor_parameter_141: class Program_weight_tensor_parameter_142: name = "parameter_142" + original_name = "batch_norm2d_16.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -1423,6 +1566,7 @@ class Program_weight_tensor_parameter_142: class Program_weight_tensor_parameter_143: name = "parameter_143" + original_name = "batch_norm2d_16.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -1432,6 +1576,7 @@ class Program_weight_tensor_parameter_143: class Program_weight_tensor_parameter_144: name = "parameter_144" + original_name = "conv2d_47.w_0" shape = [48, 192, 1, 1] dtype = "float32" min_val = float("-1.03054") @@ -1443,6 +1588,7 @@ class Program_weight_tensor_parameter_144: class Program_weight_tensor_parameter_145: name = "parameter_145" + original_name = "batch_norm2d_17.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1452,6 +1598,7 @@ class Program_weight_tensor_parameter_145: class Program_weight_tensor_parameter_146: name = "parameter_146" + original_name = "batch_norm2d_17.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1461,6 +1608,7 @@ class Program_weight_tensor_parameter_146: class Program_weight_tensor_parameter_147: name = "parameter_147" + original_name = "batch_norm2d_17.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -1470,6 +1618,7 @@ class Program_weight_tensor_parameter_147: class Program_weight_tensor_parameter_148: name = "parameter_148" + original_name = "batch_norm2d_17.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -1479,6 +1628,7 @@ class Program_weight_tensor_parameter_148: class Program_weight_tensor_parameter_149: name = "parameter_149" + original_name = "conv2d_48.w_0" shape = [48, 192, 1, 1] dtype = "float32" min_val = float("-1.0192") @@ -1490,6 +1640,7 @@ class Program_weight_tensor_parameter_149: class Program_weight_tensor_parameter_150: name = "parameter_150" + original_name = "batch_norm2d_12.b_0" shape = [96] dtype = "float32" min_val = float("-0.551726") @@ -1501,6 +1652,7 @@ class Program_weight_tensor_parameter_150: class Program_weight_tensor_parameter_151: name = "parameter_151" + original_name = "batch_norm2d_12.w_0" shape = [96] dtype = "float32" min_val = float("0.664316") @@ -1512,6 +1664,7 @@ class Program_weight_tensor_parameter_151: class Program_weight_tensor_parameter_152: name = "parameter_152" + original_name = "batch_norm2d_12.w_2" shape = [96] dtype = "float32" min_val = float("2.97301") @@ -1523,6 +1676,7 @@ class Program_weight_tensor_parameter_152: class Program_weight_tensor_parameter_153: name = "parameter_153" + original_name = "batch_norm2d_12.w_1" shape = [96] dtype = "float32" min_val = float("-1.85289") @@ -1534,6 +1688,7 @@ class Program_weight_tensor_parameter_153: class Program_weight_tensor_parameter_154: name = "parameter_154" + original_name = "conv2d_43.w_0" shape = [96, 96, 1, 1] dtype = "float32" min_val = float("-1.50373") @@ -1545,6 +1700,7 @@ class Program_weight_tensor_parameter_154: class Program_weight_tensor_parameter_155: name = "parameter_155" + original_name = "batch_norm2d_15.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1554,6 +1710,7 @@ class Program_weight_tensor_parameter_155: class Program_weight_tensor_parameter_156: name = "parameter_156" + original_name = "batch_norm2d_15.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1563,6 +1720,7 @@ class Program_weight_tensor_parameter_156: class Program_weight_tensor_parameter_157: name = "parameter_157" + original_name = "batch_norm2d_15.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -1572,6 +1730,7 @@ class Program_weight_tensor_parameter_157: class Program_weight_tensor_parameter_158: name = "parameter_158" + original_name = "batch_norm2d_15.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -1581,6 +1740,7 @@ class Program_weight_tensor_parameter_158: class Program_weight_tensor_parameter_159: name = "parameter_159" + original_name = "conv2d_46.w_0" shape = [48, 48, 1, 1] dtype = "float32" min_val = float("-0.939612") @@ -1592,6 +1752,7 @@ class Program_weight_tensor_parameter_159: class Program_weight_tensor_parameter_160: name = "parameter_160" + original_name = "batch_norm2d_14.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1601,6 +1762,7 @@ class Program_weight_tensor_parameter_160: class Program_weight_tensor_parameter_161: name = "parameter_161" + original_name = "batch_norm2d_14.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1610,6 +1772,7 @@ class Program_weight_tensor_parameter_161: class Program_weight_tensor_parameter_162: name = "parameter_162" + original_name = "batch_norm2d_14.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -1619,6 +1782,7 @@ class Program_weight_tensor_parameter_162: class Program_weight_tensor_parameter_163: name = "parameter_163" + original_name = "batch_norm2d_14.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -1628,6 +1792,7 @@ class Program_weight_tensor_parameter_163: class Program_weight_tensor_parameter_164: name = "parameter_164" + original_name = "conv2d_45.w_0" shape = [48, 1, 5, 5] dtype = "float32" min_val = float("-1.10802") @@ -1639,6 +1804,7 @@ class Program_weight_tensor_parameter_164: class Program_weight_tensor_parameter_165: name = "parameter_165" + original_name = "batch_norm2d_13.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1648,6 +1814,7 @@ class Program_weight_tensor_parameter_165: class Program_weight_tensor_parameter_166: name = "parameter_166" + original_name = "batch_norm2d_13.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1657,6 +1824,7 @@ class Program_weight_tensor_parameter_166: class Program_weight_tensor_parameter_167: name = "parameter_167" + original_name = "batch_norm2d_13.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -1666,6 +1834,7 @@ class Program_weight_tensor_parameter_167: class Program_weight_tensor_parameter_168: name = "parameter_168" + original_name = "batch_norm2d_13.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -1675,6 +1844,7 @@ class Program_weight_tensor_parameter_168: class Program_weight_tensor_parameter_169: name = "parameter_169" + original_name = "conv2d_44.w_0" shape = [48, 48, 1, 1] dtype = "float32" min_val = float("-1.00147") @@ -1686,6 +1856,7 @@ class Program_weight_tensor_parameter_169: class Program_weight_tensor_parameter_170: name = "parameter_170" + original_name = "batch_norm2d_10.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1695,6 +1866,7 @@ class Program_weight_tensor_parameter_170: class Program_weight_tensor_parameter_171: name = "parameter_171" + original_name = "batch_norm2d_10.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1704,6 +1876,7 @@ class Program_weight_tensor_parameter_171: class Program_weight_tensor_parameter_172: name = "parameter_172" + original_name = "batch_norm2d_10.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -1713,6 +1886,7 @@ class Program_weight_tensor_parameter_172: class Program_weight_tensor_parameter_173: name = "parameter_173" + original_name = "batch_norm2d_10.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -1722,6 +1896,7 @@ class Program_weight_tensor_parameter_173: class Program_weight_tensor_parameter_174: name = "parameter_174" + original_name = "conv2d_41.w_0" shape = [48, 192, 1, 1] dtype = "float32" min_val = float("-1.12391") @@ -1733,6 +1908,7 @@ class Program_weight_tensor_parameter_174: class Program_weight_tensor_parameter_175: name = "parameter_175" + original_name = "batch_norm2d_11.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1742,6 +1918,7 @@ class Program_weight_tensor_parameter_175: class Program_weight_tensor_parameter_176: name = "parameter_176" + original_name = "batch_norm2d_11.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1751,6 +1928,7 @@ class Program_weight_tensor_parameter_176: class Program_weight_tensor_parameter_177: name = "parameter_177" + original_name = "batch_norm2d_11.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -1760,6 +1938,7 @@ class Program_weight_tensor_parameter_177: class Program_weight_tensor_parameter_178: name = "parameter_178" + original_name = "batch_norm2d_11.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -1769,6 +1948,7 @@ class Program_weight_tensor_parameter_178: class Program_weight_tensor_parameter_179: name = "parameter_179" + original_name = "conv2d_42.w_0" shape = [48, 192, 1, 1] dtype = "float32" min_val = float("-1.2298") @@ -1780,6 +1960,7 @@ class Program_weight_tensor_parameter_179: class Program_weight_tensor_parameter_180: name = "parameter_180" + original_name = "batch_norm2d_6.b_0" shape = [96] dtype = "float32" min_val = float("-0.482343") @@ -1791,6 +1972,7 @@ class Program_weight_tensor_parameter_180: class Program_weight_tensor_parameter_181: name = "parameter_181" + original_name = "batch_norm2d_6.w_0" shape = [96] dtype = "float32" min_val = float("0.670714") @@ -1802,6 +1984,7 @@ class Program_weight_tensor_parameter_181: class Program_weight_tensor_parameter_182: name = "parameter_182" + original_name = "batch_norm2d_6.w_2" shape = [96] dtype = "float32" min_val = float("2.57973") @@ -1813,6 +1996,7 @@ class Program_weight_tensor_parameter_182: class Program_weight_tensor_parameter_183: name = "parameter_183" + original_name = "batch_norm2d_6.w_1" shape = [96] dtype = "float32" min_val = float("-2.01387") @@ -1824,6 +2008,7 @@ class Program_weight_tensor_parameter_183: class Program_weight_tensor_parameter_184: name = "parameter_184" + original_name = "conv2d_37.w_0" shape = [96, 96, 1, 1] dtype = "float32" min_val = float("-0.991255") @@ -1835,6 +2020,7 @@ class Program_weight_tensor_parameter_184: class Program_weight_tensor_parameter_185: name = "parameter_185" + original_name = "batch_norm2d_9.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1844,6 +2030,7 @@ class Program_weight_tensor_parameter_185: class Program_weight_tensor_parameter_186: name = "parameter_186" + original_name = "batch_norm2d_9.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1853,6 +2040,7 @@ class Program_weight_tensor_parameter_186: class Program_weight_tensor_parameter_187: name = "parameter_187" + original_name = "batch_norm2d_9.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -1862,6 +2050,7 @@ class Program_weight_tensor_parameter_187: class Program_weight_tensor_parameter_188: name = "parameter_188" + original_name = "batch_norm2d_9.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -1871,6 +2060,7 @@ class Program_weight_tensor_parameter_188: class Program_weight_tensor_parameter_189: name = "parameter_189" + original_name = "conv2d_40.w_0" shape = [48, 48, 1, 1] dtype = "float32" min_val = float("-1.11426") @@ -1882,6 +2072,7 @@ class Program_weight_tensor_parameter_189: class Program_weight_tensor_parameter_190: name = "parameter_190" + original_name = "batch_norm2d_8.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1891,6 +2082,7 @@ class Program_weight_tensor_parameter_190: class Program_weight_tensor_parameter_191: name = "parameter_191" + original_name = "batch_norm2d_8.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1900,6 +2092,7 @@ class Program_weight_tensor_parameter_191: class Program_weight_tensor_parameter_192: name = "parameter_192" + original_name = "batch_norm2d_8.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -1909,6 +2102,7 @@ class Program_weight_tensor_parameter_192: class Program_weight_tensor_parameter_193: name = "parameter_193" + original_name = "batch_norm2d_8.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -1918,6 +2112,7 @@ class Program_weight_tensor_parameter_193: class Program_weight_tensor_parameter_194: name = "parameter_194" + original_name = "conv2d_39.w_0" shape = [48, 1, 5, 5] dtype = "float32" min_val = float("-1.01961") @@ -1929,6 +2124,7 @@ class Program_weight_tensor_parameter_194: class Program_weight_tensor_parameter_195: name = "parameter_195" + original_name = "batch_norm2d_7.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1938,6 +2134,7 @@ class Program_weight_tensor_parameter_195: class Program_weight_tensor_parameter_196: name = "parameter_196" + original_name = "batch_norm2d_7.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1947,6 +2144,7 @@ class Program_weight_tensor_parameter_196: class Program_weight_tensor_parameter_197: name = "parameter_197" + original_name = "batch_norm2d_7.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -1956,6 +2154,7 @@ class Program_weight_tensor_parameter_197: class Program_weight_tensor_parameter_198: name = "parameter_198" + original_name = "batch_norm2d_7.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -1965,6 +2164,7 @@ class Program_weight_tensor_parameter_198: class Program_weight_tensor_parameter_199: name = "parameter_199" + original_name = "conv2d_38.w_0" shape = [48, 48, 1, 1] dtype = "float32" min_val = float("-0.983634") @@ -1976,6 +2176,7 @@ class Program_weight_tensor_parameter_199: class Program_weight_tensor_parameter_200: name = "parameter_200" + original_name = "batch_norm2d_4.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1985,6 +2186,7 @@ class Program_weight_tensor_parameter_200: class Program_weight_tensor_parameter_201: name = "parameter_201" + original_name = "batch_norm2d_4.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -1994,6 +2196,7 @@ class Program_weight_tensor_parameter_201: class Program_weight_tensor_parameter_202: name = "parameter_202" + original_name = "batch_norm2d_4.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -2003,6 +2206,7 @@ class Program_weight_tensor_parameter_202: class Program_weight_tensor_parameter_203: name = "parameter_203" + original_name = "batch_norm2d_4.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -2012,6 +2216,7 @@ class Program_weight_tensor_parameter_203: class Program_weight_tensor_parameter_204: name = "parameter_204" + original_name = "conv2d_35.w_0" shape = [48, 192, 1, 1] dtype = "float32" min_val = float("-1.33669") @@ -2023,6 +2228,7 @@ class Program_weight_tensor_parameter_204: class Program_weight_tensor_parameter_205: name = "parameter_205" + original_name = "batch_norm2d_5.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -2032,6 +2238,7 @@ class Program_weight_tensor_parameter_205: class Program_weight_tensor_parameter_206: name = "parameter_206" + original_name = "batch_norm2d_5.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -2041,6 +2248,7 @@ class Program_weight_tensor_parameter_206: class Program_weight_tensor_parameter_207: name = "parameter_207" + original_name = "batch_norm2d_5.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -2050,6 +2258,7 @@ class Program_weight_tensor_parameter_207: class Program_weight_tensor_parameter_208: name = "parameter_208" + original_name = "batch_norm2d_5.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -2059,6 +2268,7 @@ class Program_weight_tensor_parameter_208: class Program_weight_tensor_parameter_209: name = "parameter_209" + original_name = "conv2d_36.w_0" shape = [48, 192, 1, 1] dtype = "float32" min_val = float("-1.38097") @@ -2070,6 +2280,7 @@ class Program_weight_tensor_parameter_209: class Program_weight_tensor_parameter_210: name = "parameter_210" + original_name = "batch_norm2d_3.b_0" shape = [96] dtype = "float32" min_val = float("-0.237802") @@ -2081,6 +2292,7 @@ class Program_weight_tensor_parameter_210: class Program_weight_tensor_parameter_211: name = "parameter_211" + original_name = "batch_norm2d_3.w_0" shape = [96] dtype = "float32" min_val = float("0.882038") @@ -2092,6 +2304,7 @@ class Program_weight_tensor_parameter_211: class Program_weight_tensor_parameter_212: name = "parameter_212" + original_name = "batch_norm2d_3.w_2" shape = [96] dtype = "float32" min_val = float("62.3976") @@ -2103,6 +2316,7 @@ class Program_weight_tensor_parameter_212: class Program_weight_tensor_parameter_213: name = "parameter_213" + original_name = "batch_norm2d_3.w_1" shape = [96] dtype = "float32" min_val = float("-13.5523") @@ -2114,6 +2328,7 @@ class Program_weight_tensor_parameter_213: class Program_weight_tensor_parameter_214: name = "parameter_214" + original_name = "conv2d_34.w_0" shape = [96, 512, 1, 1] dtype = "float32" min_val = float("-2.09646") @@ -2125,6 +2340,7 @@ class Program_weight_tensor_parameter_214: class Program_weight_tensor_parameter_215: name = "parameter_215" + original_name = "batch_norm2d_2.b_0" shape = [96] dtype = "float32" min_val = float("-0.587668") @@ -2136,6 +2352,7 @@ class Program_weight_tensor_parameter_215: class Program_weight_tensor_parameter_216: name = "parameter_216" + original_name = "batch_norm2d_2.w_0" shape = [96] dtype = "float32" min_val = float("0.518918") @@ -2147,6 +2364,7 @@ class Program_weight_tensor_parameter_216: class Program_weight_tensor_parameter_217: name = "parameter_217" + original_name = "batch_norm2d_2.w_2" shape = [96] dtype = "float32" min_val = float("1.99622") @@ -2158,6 +2376,7 @@ class Program_weight_tensor_parameter_217: class Program_weight_tensor_parameter_218: name = "parameter_218" + original_name = "batch_norm2d_2.w_1" shape = [96] dtype = "float32" min_val = float("-2.45523") @@ -2169,6 +2388,7 @@ class Program_weight_tensor_parameter_218: class Program_weight_tensor_parameter_219: name = "parameter_219" + original_name = "conv2d_33.w_0" shape = [96, 256, 1, 1] dtype = "float32" min_val = float("-1.24805") @@ -2180,6 +2400,7 @@ class Program_weight_tensor_parameter_219: class Program_weight_tensor_parameter_220: name = "parameter_220" + original_name = "batch_norm2d_1.b_0" shape = [96] dtype = "float32" min_val = float("-0.65098") @@ -2191,6 +2412,7 @@ class Program_weight_tensor_parameter_220: class Program_weight_tensor_parameter_221: name = "parameter_221" + original_name = "batch_norm2d_1.w_0" shape = [96] dtype = "float32" min_val = float("0.668796") @@ -2202,6 +2424,7 @@ class Program_weight_tensor_parameter_221: class Program_weight_tensor_parameter_222: name = "parameter_222" + original_name = "batch_norm2d_1.w_2" shape = [96] dtype = "float32" min_val = float("1.02184") @@ -2213,6 +2436,7 @@ class Program_weight_tensor_parameter_222: class Program_weight_tensor_parameter_223: name = "parameter_223" + original_name = "batch_norm2d_1.w_1" shape = [96] dtype = "float32" min_val = float("-1.73317") @@ -2224,6 +2448,7 @@ class Program_weight_tensor_parameter_223: class Program_weight_tensor_parameter_224: name = "parameter_224" + original_name = "conv2d_32.w_0" shape = [96, 128, 1, 1] dtype = "float32" min_val = float("-1.41707") @@ -2235,6 +2460,7 @@ class Program_weight_tensor_parameter_224: class Program_weight_tensor_parameter_225: name = "parameter_225" + original_name = "batch_norm2d_0.b_0" shape = [96] dtype = "float32" min_val = float("-0.628921") @@ -2246,6 +2472,7 @@ class Program_weight_tensor_parameter_225: class Program_weight_tensor_parameter_226: name = "parameter_226" + original_name = "batch_norm2d_0.w_0" shape = [96] dtype = "float32" min_val = float("0.430088") @@ -2257,6 +2484,7 @@ class Program_weight_tensor_parameter_226: class Program_weight_tensor_parameter_227: name = "parameter_227" + original_name = "batch_norm2d_0.w_2" shape = [96] dtype = "float32" min_val = float("0.484083") @@ -2268,6 +2496,7 @@ class Program_weight_tensor_parameter_227: class Program_weight_tensor_parameter_228: name = "parameter_228" + original_name = "batch_norm2d_0.w_1" shape = [96] dtype = "float32" min_val = float("-3.19169") @@ -2279,6 +2508,7 @@ class Program_weight_tensor_parameter_228: class Program_weight_tensor_parameter_229: name = "parameter_229" + original_name = "conv2d_31.w_0" shape = [96, 64, 1, 1] dtype = "float32" min_val = float("-1.13987") @@ -2290,6 +2520,7 @@ class Program_weight_tensor_parameter_229: class Program_weight_tensor_parameter_230: name = "parameter_230" + original_name = "batch_norm_26.b_0" shape = [512] dtype = "float32" min_val = float("-1.71557") @@ -2301,6 +2532,7 @@ class Program_weight_tensor_parameter_230: class Program_weight_tensor_parameter_231: name = "parameter_231" + original_name = "batch_norm_26.w_0" shape = [512] dtype = "float32" min_val = float("1.58651") @@ -2312,6 +2544,7 @@ class Program_weight_tensor_parameter_231: class Program_weight_tensor_parameter_232: name = "parameter_232" + original_name = "batch_norm_26.w_2" shape = [512] dtype = "float32" min_val = float("1.19276") @@ -2323,6 +2556,7 @@ class Program_weight_tensor_parameter_232: class Program_weight_tensor_parameter_233: name = "parameter_233" + original_name = "batch_norm_26.w_1" shape = [512] dtype = "float32" min_val = float("-1.21129") @@ -2334,6 +2568,7 @@ class Program_weight_tensor_parameter_233: class Program_weight_tensor_parameter_234: name = "parameter_234" + original_name = "conv2d_30.w_0" shape = [512, 512, 1, 1] dtype = "float32" min_val = float("-3.54385") @@ -2345,6 +2580,7 @@ class Program_weight_tensor_parameter_234: class Program_weight_tensor_parameter_235: name = "parameter_235" + original_name = "conv2d_29.b_0" shape = [512] dtype = "float32" min_val = float("-0.57823") @@ -2356,6 +2592,7 @@ class Program_weight_tensor_parameter_235: class Program_weight_tensor_parameter_236: name = "parameter_236" + original_name = "conv2d_29.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-1.77783") @@ -2367,6 +2604,7 @@ class Program_weight_tensor_parameter_236: class Program_weight_tensor_parameter_237: name = "parameter_237" + original_name = "conv2d_28.b_0" shape = [128] dtype = "float32" min_val = float("-0.320701") @@ -2378,6 +2616,7 @@ class Program_weight_tensor_parameter_237: class Program_weight_tensor_parameter_238: name = "parameter_238" + original_name = "conv2d_28.w_0" shape = [128, 512, 1, 1] dtype = "float32" min_val = float("-2.31025") @@ -2389,6 +2628,7 @@ class Program_weight_tensor_parameter_238: class Program_weight_tensor_parameter_239: name = "parameter_239" + original_name = "batch_norm_25.b_0" shape = [512] dtype = "float32" min_val = float("-1.17827") @@ -2400,6 +2640,7 @@ class Program_weight_tensor_parameter_239: class Program_weight_tensor_parameter_240: name = "parameter_240" + original_name = "batch_norm_25.w_0" shape = [512] dtype = "float32" min_val = float("0.275889") @@ -2411,6 +2652,7 @@ class Program_weight_tensor_parameter_240: class Program_weight_tensor_parameter_241: name = "parameter_241" + original_name = "batch_norm_25.w_2" shape = [512] dtype = "float32" min_val = float("0.00226333") @@ -2422,6 +2664,7 @@ class Program_weight_tensor_parameter_241: class Program_weight_tensor_parameter_242: name = "parameter_242" + original_name = "batch_norm_25.w_1" shape = [512] dtype = "float32" min_val = float("-2.23921") @@ -2433,6 +2676,7 @@ class Program_weight_tensor_parameter_242: class Program_weight_tensor_parameter_243: name = "parameter_243" + original_name = "conv2d_27.w_0" shape = [512, 1, 5, 5] dtype = "float32" min_val = float("-2.88061") @@ -2444,6 +2688,7 @@ class Program_weight_tensor_parameter_243: class Program_weight_tensor_parameter_244: name = "parameter_244" + original_name = "batch_norm_24.b_0" shape = [512] dtype = "float32" min_val = float("-1.73834") @@ -2455,6 +2700,7 @@ class Program_weight_tensor_parameter_244: class Program_weight_tensor_parameter_245: name = "parameter_245" + original_name = "batch_norm_24.w_0" shape = [512] dtype = "float32" min_val = float("-1.10718") @@ -2466,6 +2712,7 @@ class Program_weight_tensor_parameter_245: class Program_weight_tensor_parameter_246: name = "parameter_246" + original_name = "batch_norm_24.w_2" shape = [512] dtype = "float32" min_val = float("1.11557") @@ -2477,6 +2724,7 @@ class Program_weight_tensor_parameter_246: class Program_weight_tensor_parameter_247: name = "parameter_247" + original_name = "batch_norm_24.w_1" shape = [512] dtype = "float32" min_val = float("-2.90242") @@ -2488,6 +2736,7 @@ class Program_weight_tensor_parameter_247: class Program_weight_tensor_parameter_248: name = "parameter_248" + original_name = "conv2d_26.w_0" shape = [512, 256, 1, 1] dtype = "float32" min_val = float("-3.45796") @@ -2499,6 +2748,7 @@ class Program_weight_tensor_parameter_248: class Program_weight_tensor_parameter_249: name = "parameter_249" + original_name = "conv2d_25.b_0" shape = [256] dtype = "float32" min_val = float("-0.80427") @@ -2510,6 +2760,7 @@ class Program_weight_tensor_parameter_249: class Program_weight_tensor_parameter_250: name = "parameter_250" + original_name = "conv2d_25.w_0" shape = [256, 64, 1, 1] dtype = "float32" min_val = float("-1.24379") @@ -2521,6 +2772,7 @@ class Program_weight_tensor_parameter_250: class Program_weight_tensor_parameter_251: name = "parameter_251" + original_name = "conv2d_24.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -2530,6 +2782,7 @@ class Program_weight_tensor_parameter_251: class Program_weight_tensor_parameter_252: name = "parameter_252" + original_name = "conv2d_24.w_0" shape = [64, 256, 1, 1] dtype = "float32" min_val = float("-2.02268") @@ -2541,6 +2794,7 @@ class Program_weight_tensor_parameter_252: class Program_weight_tensor_parameter_253: name = "parameter_253" + original_name = "batch_norm_23.b_0" shape = [256] dtype = "float32" min_val = float("-0.790023") @@ -2552,6 +2806,7 @@ class Program_weight_tensor_parameter_253: class Program_weight_tensor_parameter_254: name = "parameter_254" + original_name = "batch_norm_23.w_0" shape = [256] dtype = "float32" min_val = float("0.316892") @@ -2563,6 +2818,7 @@ class Program_weight_tensor_parameter_254: class Program_weight_tensor_parameter_255: name = "parameter_255" + original_name = "batch_norm_23.w_2" shape = [256] dtype = "float32" min_val = float("0.0101875") @@ -2574,6 +2830,7 @@ class Program_weight_tensor_parameter_255: class Program_weight_tensor_parameter_256: name = "parameter_256" + original_name = "batch_norm_23.w_1" shape = [256] dtype = "float32" min_val = float("-2.88328") @@ -2585,6 +2842,7 @@ class Program_weight_tensor_parameter_256: class Program_weight_tensor_parameter_257: name = "parameter_257" + original_name = "conv2d_23.w_0" shape = [256, 1, 5, 5] dtype = "float32" min_val = float("-1.77129") @@ -2596,6 +2854,7 @@ class Program_weight_tensor_parameter_257: class Program_weight_tensor_parameter_258: name = "parameter_258" + original_name = "batch_norm_22.b_0" shape = [256] dtype = "float32" min_val = float("-1.60557") @@ -2607,6 +2866,7 @@ class Program_weight_tensor_parameter_258: class Program_weight_tensor_parameter_259: name = "parameter_259" + original_name = "batch_norm_22.w_0" shape = [256] dtype = "float32" min_val = float("-0.291733") @@ -2618,6 +2878,7 @@ class Program_weight_tensor_parameter_259: class Program_weight_tensor_parameter_260: name = "parameter_260" + original_name = "batch_norm_22.w_2" shape = [256] dtype = "float32" min_val = float("1.77819") @@ -2629,6 +2890,7 @@ class Program_weight_tensor_parameter_260: class Program_weight_tensor_parameter_261: name = "parameter_261" + original_name = "batch_norm_22.w_1" shape = [256] dtype = "float32" min_val = float("-5.22167") @@ -2640,6 +2902,7 @@ class Program_weight_tensor_parameter_261: class Program_weight_tensor_parameter_262: name = "parameter_262" + original_name = "conv2d_22.w_0" shape = [256, 256, 1, 1] dtype = "float32" min_val = float("-3.89883") @@ -2651,6 +2914,7 @@ class Program_weight_tensor_parameter_262: class Program_weight_tensor_parameter_263: name = "parameter_263" + original_name = "batch_norm_21.b_0" shape = [256] dtype = "float32" min_val = float("-1.86908") @@ -2662,6 +2926,7 @@ class Program_weight_tensor_parameter_263: class Program_weight_tensor_parameter_264: name = "parameter_264" + original_name = "batch_norm_21.w_0" shape = [256] dtype = "float32" min_val = float("0.244702") @@ -2673,6 +2938,7 @@ class Program_weight_tensor_parameter_264: class Program_weight_tensor_parameter_265: name = "parameter_265" + original_name = "batch_norm_21.w_2" shape = [256] dtype = "float32" min_val = float("0.0060596") @@ -2684,6 +2950,7 @@ class Program_weight_tensor_parameter_265: class Program_weight_tensor_parameter_266: name = "parameter_266" + original_name = "batch_norm_21.w_1" shape = [256] dtype = "float32" min_val = float("-1.89884") @@ -2695,6 +2962,7 @@ class Program_weight_tensor_parameter_266: class Program_weight_tensor_parameter_267: name = "parameter_267" + original_name = "conv2d_21.w_0" shape = [256, 1, 5, 5] dtype = "float32" min_val = float("-2.88969") @@ -2706,6 +2974,7 @@ class Program_weight_tensor_parameter_267: class Program_weight_tensor_parameter_268: name = "parameter_268" + original_name = "batch_norm_20.b_0" shape = [256] dtype = "float32" min_val = float("-1.63077") @@ -2717,6 +2986,7 @@ class Program_weight_tensor_parameter_268: class Program_weight_tensor_parameter_269: name = "parameter_269" + original_name = "batch_norm_20.w_0" shape = [256] dtype = "float32" min_val = float("-0.855135") @@ -2728,6 +2998,7 @@ class Program_weight_tensor_parameter_269: class Program_weight_tensor_parameter_270: name = "parameter_270" + original_name = "batch_norm_20.w_2" shape = [256] dtype = "float32" min_val = float("1.82152") @@ -2739,6 +3010,7 @@ class Program_weight_tensor_parameter_270: class Program_weight_tensor_parameter_271: name = "parameter_271" + original_name = "batch_norm_20.w_1" shape = [256] dtype = "float32" min_val = float("-5.81962") @@ -2750,6 +3022,7 @@ class Program_weight_tensor_parameter_271: class Program_weight_tensor_parameter_272: name = "parameter_272" + original_name = "conv2d_20.w_0" shape = [256, 256, 1, 1] dtype = "float32" min_val = float("-2.04992") @@ -2761,6 +3034,7 @@ class Program_weight_tensor_parameter_272: class Program_weight_tensor_parameter_273: name = "parameter_273" + original_name = "batch_norm_19.b_0" shape = [256] dtype = "float32" min_val = float("-1.87227") @@ -2772,6 +3046,7 @@ class Program_weight_tensor_parameter_273: class Program_weight_tensor_parameter_274: name = "parameter_274" + original_name = "batch_norm_19.w_0" shape = [256] dtype = "float32" min_val = float("0.172692") @@ -2783,6 +3058,7 @@ class Program_weight_tensor_parameter_274: class Program_weight_tensor_parameter_275: name = "parameter_275" + original_name = "batch_norm_19.w_2" shape = [256] dtype = "float32" min_val = float("0.00188424") @@ -2794,6 +3070,7 @@ class Program_weight_tensor_parameter_275: class Program_weight_tensor_parameter_276: name = "parameter_276" + original_name = "batch_norm_19.w_1" shape = [256] dtype = "float32" min_val = float("-6.434") @@ -2805,6 +3082,7 @@ class Program_weight_tensor_parameter_276: class Program_weight_tensor_parameter_277: name = "parameter_277" + original_name = "conv2d_19.w_0" shape = [256, 1, 5, 5] dtype = "float32" min_val = float("-2.38921") @@ -2816,6 +3094,7 @@ class Program_weight_tensor_parameter_277: class Program_weight_tensor_parameter_278: name = "parameter_278" + original_name = "batch_norm_18.b_0" shape = [256] dtype = "float32" min_val = float("-1.58909") @@ -2827,6 +3106,7 @@ class Program_weight_tensor_parameter_278: class Program_weight_tensor_parameter_279: name = "parameter_279" + original_name = "batch_norm_18.w_0" shape = [256] dtype = "float32" min_val = float("-0.556579") @@ -2838,6 +3118,7 @@ class Program_weight_tensor_parameter_279: class Program_weight_tensor_parameter_280: name = "parameter_280" + original_name = "batch_norm_18.w_2" shape = [256] dtype = "float32" min_val = float("2.55615") @@ -2849,6 +3130,7 @@ class Program_weight_tensor_parameter_280: class Program_weight_tensor_parameter_281: name = "parameter_281" + original_name = "batch_norm_18.w_1" shape = [256] dtype = "float32" min_val = float("-4.30402") @@ -2860,6 +3142,7 @@ class Program_weight_tensor_parameter_281: class Program_weight_tensor_parameter_282: name = "parameter_282" + original_name = "conv2d_18.w_0" shape = [256, 256, 1, 1] dtype = "float32" min_val = float("-2.02532") @@ -2871,6 +3154,7 @@ class Program_weight_tensor_parameter_282: class Program_weight_tensor_parameter_283: name = "parameter_283" + original_name = "batch_norm_17.b_0" shape = [256] dtype = "float32" min_val = float("-1.81883") @@ -2882,6 +3166,7 @@ class Program_weight_tensor_parameter_283: class Program_weight_tensor_parameter_284: name = "parameter_284" + original_name = "batch_norm_17.w_0" shape = [256] dtype = "float32" min_val = float("0.217403") @@ -2893,6 +3178,7 @@ class Program_weight_tensor_parameter_284: class Program_weight_tensor_parameter_285: name = "parameter_285" + original_name = "batch_norm_17.w_2" shape = [256] dtype = "float32" min_val = float("0.00311972") @@ -2904,6 +3190,7 @@ class Program_weight_tensor_parameter_285: class Program_weight_tensor_parameter_286: name = "parameter_286" + original_name = "batch_norm_17.w_1" shape = [256] dtype = "float32" min_val = float("-1.89883") @@ -2915,6 +3202,7 @@ class Program_weight_tensor_parameter_286: class Program_weight_tensor_parameter_287: name = "parameter_287" + original_name = "conv2d_17.w_0" shape = [256, 1, 5, 5] dtype = "float32" min_val = float("-2.15778") @@ -2926,6 +3214,7 @@ class Program_weight_tensor_parameter_287: class Program_weight_tensor_parameter_288: name = "parameter_288" + original_name = "batch_norm_16.b_0" shape = [256] dtype = "float32" min_val = float("-1.60112") @@ -2937,6 +3226,7 @@ class Program_weight_tensor_parameter_288: class Program_weight_tensor_parameter_289: name = "parameter_289" + original_name = "batch_norm_16.w_0" shape = [256] dtype = "float32" min_val = float("-0.401886") @@ -2948,6 +3238,7 @@ class Program_weight_tensor_parameter_289: class Program_weight_tensor_parameter_290: name = "parameter_290" + original_name = "batch_norm_16.w_2" shape = [256] dtype = "float32" min_val = float("1.74456") @@ -2959,6 +3250,7 @@ class Program_weight_tensor_parameter_290: class Program_weight_tensor_parameter_291: name = "parameter_291" + original_name = "batch_norm_16.w_1" shape = [256] dtype = "float32" min_val = float("-4.92284") @@ -2970,6 +3262,7 @@ class Program_weight_tensor_parameter_291: class Program_weight_tensor_parameter_292: name = "parameter_292" + original_name = "conv2d_16.w_0" shape = [256, 256, 1, 1] dtype = "float32" min_val = float("-2.3778") @@ -2981,6 +3274,7 @@ class Program_weight_tensor_parameter_292: class Program_weight_tensor_parameter_293: name = "parameter_293" + original_name = "batch_norm_15.b_0" shape = [256] dtype = "float32" min_val = float("-1.78632") @@ -2992,6 +3286,7 @@ class Program_weight_tensor_parameter_293: class Program_weight_tensor_parameter_294: name = "parameter_294" + original_name = "batch_norm_15.w_0" shape = [256] dtype = "float32" min_val = float("-0.745224") @@ -3003,6 +3298,7 @@ class Program_weight_tensor_parameter_294: class Program_weight_tensor_parameter_295: name = "parameter_295" + original_name = "batch_norm_15.w_2" shape = [256] dtype = "float32" min_val = float("0.0041583") @@ -3014,6 +3310,7 @@ class Program_weight_tensor_parameter_295: class Program_weight_tensor_parameter_296: name = "parameter_296" + original_name = "batch_norm_15.w_1" shape = [256] dtype = "float32" min_val = float("-2.81039") @@ -3025,6 +3322,7 @@ class Program_weight_tensor_parameter_296: class Program_weight_tensor_parameter_297: name = "parameter_297" + original_name = "conv2d_15.w_0" shape = [256, 1, 5, 5] dtype = "float32" min_val = float("-2.44779") @@ -3036,6 +3334,7 @@ class Program_weight_tensor_parameter_297: class Program_weight_tensor_parameter_298: name = "parameter_298" + original_name = "batch_norm_14.b_0" shape = [256] dtype = "float32" min_val = float("-1.65779") @@ -3047,6 +3346,7 @@ class Program_weight_tensor_parameter_298: class Program_weight_tensor_parameter_299: name = "parameter_299" + original_name = "batch_norm_14.w_0" shape = [256] dtype = "float32" min_val = float("-0.342176") @@ -3058,6 +3358,7 @@ class Program_weight_tensor_parameter_299: class Program_weight_tensor_parameter_300: name = "parameter_300" + original_name = "batch_norm_14.w_2" shape = [256] dtype = "float32" min_val = float("0.485063") @@ -3069,6 +3370,7 @@ class Program_weight_tensor_parameter_300: class Program_weight_tensor_parameter_301: name = "parameter_301" + original_name = "batch_norm_14.w_1" shape = [256] dtype = "float32" min_val = float("-3.58223") @@ -3080,6 +3382,7 @@ class Program_weight_tensor_parameter_301: class Program_weight_tensor_parameter_302: name = "parameter_302" + original_name = "conv2d_14.w_0" shape = [256, 256, 1, 1] dtype = "float32" min_val = float("-3.08002") @@ -3091,6 +3394,7 @@ class Program_weight_tensor_parameter_302: class Program_weight_tensor_parameter_303: name = "parameter_303" + original_name = "batch_norm_13.b_0" shape = [256] dtype = "float32" min_val = float("-1.93348") @@ -3102,6 +3406,7 @@ class Program_weight_tensor_parameter_303: class Program_weight_tensor_parameter_304: name = "parameter_304" + original_name = "batch_norm_13.w_0" shape = [256] dtype = "float32" min_val = float("-0.324591") @@ -3113,6 +3418,7 @@ class Program_weight_tensor_parameter_304: class Program_weight_tensor_parameter_305: name = "parameter_305" + original_name = "batch_norm_13.w_2" shape = [256] dtype = "float32" min_val = float("0.00156945") @@ -3124,6 +3430,7 @@ class Program_weight_tensor_parameter_305: class Program_weight_tensor_parameter_306: name = "parameter_306" + original_name = "batch_norm_13.w_1" shape = [256] dtype = "float32" min_val = float("-3.11251") @@ -3135,6 +3442,7 @@ class Program_weight_tensor_parameter_306: class Program_weight_tensor_parameter_307: name = "parameter_307" + original_name = "conv2d_13.w_0" shape = [256, 1, 5, 5] dtype = "float32" min_val = float("-2.05819") @@ -3146,6 +3454,7 @@ class Program_weight_tensor_parameter_307: class Program_weight_tensor_parameter_308: name = "parameter_308" + original_name = "batch_norm_12.b_0" shape = [256] dtype = "float32" min_val = float("-1.77141") @@ -3157,6 +3466,7 @@ class Program_weight_tensor_parameter_308: class Program_weight_tensor_parameter_309: name = "parameter_309" + original_name = "batch_norm_12.w_0" shape = [256] dtype = "float32" min_val = float("-0.457618") @@ -3168,6 +3478,7 @@ class Program_weight_tensor_parameter_309: class Program_weight_tensor_parameter_310: name = "parameter_310" + original_name = "batch_norm_12.w_2" shape = [256] dtype = "float32" min_val = float("0.80419") @@ -3179,6 +3490,7 @@ class Program_weight_tensor_parameter_310: class Program_weight_tensor_parameter_311: name = "parameter_311" + original_name = "batch_norm_12.w_1" shape = [256] dtype = "float32" min_val = float("-10.4407") @@ -3190,6 +3502,7 @@ class Program_weight_tensor_parameter_311: class Program_weight_tensor_parameter_312: name = "parameter_312" + original_name = "conv2d_12.w_0" shape = [256, 128, 1, 1] dtype = "float32" min_val = float("-2.04216") @@ -3201,6 +3514,7 @@ class Program_weight_tensor_parameter_312: class Program_weight_tensor_parameter_313: name = "parameter_313" + original_name = "batch_norm_11.b_0" shape = [128] dtype = "float32" min_val = float("-1.43421") @@ -3212,6 +3526,7 @@ class Program_weight_tensor_parameter_313: class Program_weight_tensor_parameter_314: name = "parameter_314" + original_name = "batch_norm_11.w_0" shape = [128] dtype = "float32" min_val = float("0.200504") @@ -3223,6 +3538,7 @@ class Program_weight_tensor_parameter_314: class Program_weight_tensor_parameter_315: name = "parameter_315" + original_name = "batch_norm_11.w_2" shape = [128] dtype = "float32" min_val = float("0.00605463") @@ -3234,6 +3550,7 @@ class Program_weight_tensor_parameter_315: class Program_weight_tensor_parameter_316: name = "parameter_316" + original_name = "batch_norm_11.w_1" shape = [128] dtype = "float32" min_val = float("-3.71303") @@ -3245,6 +3562,7 @@ class Program_weight_tensor_parameter_316: class Program_weight_tensor_parameter_317: name = "parameter_317" + original_name = "conv2d_11.w_0" shape = [128, 1, 3, 3] dtype = "float32" min_val = float("-0.881321") @@ -3256,6 +3574,7 @@ class Program_weight_tensor_parameter_317: class Program_weight_tensor_parameter_318: name = "parameter_318" + original_name = "batch_norm_10.b_0" shape = [128] dtype = "float32" min_val = float("-1.94309") @@ -3267,6 +3586,7 @@ class Program_weight_tensor_parameter_318: class Program_weight_tensor_parameter_319: name = "parameter_319" + original_name = "batch_norm_10.w_0" shape = [128] dtype = "float32" min_val = float("0.13086") @@ -3278,6 +3598,7 @@ class Program_weight_tensor_parameter_319: class Program_weight_tensor_parameter_320: name = "parameter_320" + original_name = "batch_norm_10.w_2" shape = [128] dtype = "float32" min_val = float("0.644214") @@ -3289,6 +3610,7 @@ class Program_weight_tensor_parameter_320: class Program_weight_tensor_parameter_321: name = "parameter_321" + original_name = "batch_norm_10.w_1" shape = [128] dtype = "float32" min_val = float("-6.86004") @@ -3300,6 +3622,7 @@ class Program_weight_tensor_parameter_321: class Program_weight_tensor_parameter_322: name = "parameter_322" + original_name = "conv2d_10.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-2.5569") @@ -3311,6 +3634,7 @@ class Program_weight_tensor_parameter_322: class Program_weight_tensor_parameter_323: name = "parameter_323" + original_name = "batch_norm_9.b_0" shape = [128] dtype = "float32" min_val = float("-1.60027") @@ -3322,6 +3646,7 @@ class Program_weight_tensor_parameter_323: class Program_weight_tensor_parameter_324: name = "parameter_324" + original_name = "batch_norm_9.w_0" shape = [128] dtype = "float32" min_val = float("-0.405329") @@ -3333,6 +3658,7 @@ class Program_weight_tensor_parameter_324: class Program_weight_tensor_parameter_325: name = "parameter_325" + original_name = "batch_norm_9.w_2" shape = [128] dtype = "float32" min_val = float("8.45411e-05") @@ -3344,6 +3670,7 @@ class Program_weight_tensor_parameter_325: class Program_weight_tensor_parameter_326: name = "parameter_326" + original_name = "batch_norm_9.w_1" shape = [128] dtype = "float32" min_val = float("-2.28361") @@ -3355,6 +3682,7 @@ class Program_weight_tensor_parameter_326: class Program_weight_tensor_parameter_327: name = "parameter_327" + original_name = "conv2d_9.w_0" shape = [128, 1, 3, 3] dtype = "float32" min_val = float("-2.17113") @@ -3366,6 +3694,7 @@ class Program_weight_tensor_parameter_327: class Program_weight_tensor_parameter_328: name = "parameter_328" + original_name = "batch_norm_8.b_0" shape = [128] dtype = "float32" min_val = float("-1.26719") @@ -3377,6 +3706,7 @@ class Program_weight_tensor_parameter_328: class Program_weight_tensor_parameter_329: name = "parameter_329" + original_name = "batch_norm_8.w_0" shape = [128] dtype = "float32" min_val = float("-0.879856") @@ -3388,6 +3718,7 @@ class Program_weight_tensor_parameter_329: class Program_weight_tensor_parameter_330: name = "parameter_330" + original_name = "batch_norm_8.w_2" shape = [128] dtype = "float32" min_val = float("0.323433") @@ -3399,6 +3730,7 @@ class Program_weight_tensor_parameter_330: class Program_weight_tensor_parameter_331: name = "parameter_331" + original_name = "batch_norm_8.w_1" shape = [128] dtype = "float32" min_val = float("-9.41271") @@ -3410,6 +3742,7 @@ class Program_weight_tensor_parameter_331: class Program_weight_tensor_parameter_332: name = "parameter_332" + original_name = "conv2d_8.w_0" shape = [128, 64, 1, 1] dtype = "float32" min_val = float("-2.16179") @@ -3421,6 +3754,7 @@ class Program_weight_tensor_parameter_332: class Program_weight_tensor_parameter_333: name = "parameter_333" + original_name = "batch_norm_7.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -3430,6 +3764,7 @@ class Program_weight_tensor_parameter_333: class Program_weight_tensor_parameter_334: name = "parameter_334" + original_name = "batch_norm_7.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -3439,6 +3774,7 @@ class Program_weight_tensor_parameter_334: class Program_weight_tensor_parameter_335: name = "parameter_335" + original_name = "batch_norm_7.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -3448,6 +3784,7 @@ class Program_weight_tensor_parameter_335: class Program_weight_tensor_parameter_336: name = "parameter_336" + original_name = "batch_norm_7.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -3457,6 +3794,7 @@ class Program_weight_tensor_parameter_336: class Program_weight_tensor_parameter_337: name = "parameter_337" + original_name = "conv2d_7.w_0" shape = [64, 1, 3, 3] dtype = "float32" min_val = float("-0.796547") @@ -3468,6 +3806,7 @@ class Program_weight_tensor_parameter_337: class Program_weight_tensor_parameter_338: name = "parameter_338" + original_name = "batch_norm_6.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -3477,6 +3816,7 @@ class Program_weight_tensor_parameter_338: class Program_weight_tensor_parameter_339: name = "parameter_339" + original_name = "batch_norm_6.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -3486,6 +3826,7 @@ class Program_weight_tensor_parameter_339: class Program_weight_tensor_parameter_340: name = "parameter_340" + original_name = "batch_norm_6.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -3495,6 +3836,7 @@ class Program_weight_tensor_parameter_340: class Program_weight_tensor_parameter_341: name = "parameter_341" + original_name = "batch_norm_6.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -3504,6 +3846,7 @@ class Program_weight_tensor_parameter_341: class Program_weight_tensor_parameter_342: name = "parameter_342" + original_name = "conv2d_6.w_0" shape = [64, 64, 1, 1] dtype = "float32" min_val = float("-2.60463") @@ -3515,6 +3858,7 @@ class Program_weight_tensor_parameter_342: class Program_weight_tensor_parameter_343: name = "parameter_343" + original_name = "batch_norm_5.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -3524,6 +3868,7 @@ class Program_weight_tensor_parameter_343: class Program_weight_tensor_parameter_344: name = "parameter_344" + original_name = "batch_norm_5.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -3533,6 +3878,7 @@ class Program_weight_tensor_parameter_344: class Program_weight_tensor_parameter_345: name = "parameter_345" + original_name = "batch_norm_5.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -3542,6 +3888,7 @@ class Program_weight_tensor_parameter_345: class Program_weight_tensor_parameter_346: name = "parameter_346" + original_name = "batch_norm_5.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -3551,6 +3898,7 @@ class Program_weight_tensor_parameter_346: class Program_weight_tensor_parameter_347: name = "parameter_347" + original_name = "conv2d_5.w_0" shape = [64, 1, 3, 3] dtype = "float32" min_val = float("-2.32673") @@ -3562,6 +3910,7 @@ class Program_weight_tensor_parameter_347: class Program_weight_tensor_parameter_348: name = "parameter_348" + original_name = "batch_norm_4.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -3571,6 +3920,7 @@ class Program_weight_tensor_parameter_348: class Program_weight_tensor_parameter_349: name = "parameter_349" + original_name = "batch_norm_4.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -3580,6 +3930,7 @@ class Program_weight_tensor_parameter_349: class Program_weight_tensor_parameter_350: name = "parameter_350" + original_name = "batch_norm_4.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -3589,6 +3940,7 @@ class Program_weight_tensor_parameter_350: class Program_weight_tensor_parameter_351: name = "parameter_351" + original_name = "batch_norm_4.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -3598,6 +3950,7 @@ class Program_weight_tensor_parameter_351: class Program_weight_tensor_parameter_352: name = "parameter_352" + original_name = "conv2d_4.w_0" shape = [64, 32, 1, 1] dtype = "float32" min_val = float("-2.34407") @@ -3609,6 +3962,7 @@ class Program_weight_tensor_parameter_352: class Program_weight_tensor_parameter_353: name = "parameter_353" + original_name = "batch_norm_3.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -3618,6 +3972,7 @@ class Program_weight_tensor_parameter_353: class Program_weight_tensor_parameter_354: name = "parameter_354" + original_name = "batch_norm_3.w_0" shape = [32] dtype = "float32" min_val = float("0") @@ -3627,6 +3982,7 @@ class Program_weight_tensor_parameter_354: class Program_weight_tensor_parameter_355: name = "parameter_355" + original_name = "batch_norm_3.w_2" shape = [32] dtype = "float32" min_val = float("0") @@ -3636,6 +3992,7 @@ class Program_weight_tensor_parameter_355: class Program_weight_tensor_parameter_356: name = "parameter_356" + original_name = "batch_norm_3.w_1" shape = [32] dtype = "float32" min_val = float("0") @@ -3645,6 +4002,7 @@ class Program_weight_tensor_parameter_356: class Program_weight_tensor_parameter_357: name = "parameter_357" + original_name = "conv2d_3.w_0" shape = [32, 1, 3, 3] dtype = "float32" min_val = float("-0.866371") @@ -3656,6 +4014,7 @@ class Program_weight_tensor_parameter_357: class Program_weight_tensor_parameter_358: name = "parameter_358" + original_name = "batch_norm_2.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -3665,6 +4024,7 @@ class Program_weight_tensor_parameter_358: class Program_weight_tensor_parameter_359: name = "parameter_359" + original_name = "batch_norm_2.w_0" shape = [32] dtype = "float32" min_val = float("0") @@ -3674,6 +4034,7 @@ class Program_weight_tensor_parameter_359: class Program_weight_tensor_parameter_360: name = "parameter_360" + original_name = "batch_norm_2.w_2" shape = [32] dtype = "float32" min_val = float("0") @@ -3683,6 +4044,7 @@ class Program_weight_tensor_parameter_360: class Program_weight_tensor_parameter_361: name = "parameter_361" + original_name = "batch_norm_2.w_1" shape = [32] dtype = "float32" min_val = float("0") @@ -3692,6 +4054,7 @@ class Program_weight_tensor_parameter_361: class Program_weight_tensor_parameter_362: name = "parameter_362" + original_name = "conv2d_2.w_0" shape = [32, 16, 1, 1] dtype = "float32" min_val = float("-3.98461") @@ -3703,6 +4066,7 @@ class Program_weight_tensor_parameter_362: class Program_weight_tensor_parameter_363: name = "parameter_363" + original_name = "batch_norm_1.b_0" shape = [16] dtype = "float32" min_val = float("0") @@ -3712,6 +4076,7 @@ class Program_weight_tensor_parameter_363: class Program_weight_tensor_parameter_364: name = "parameter_364" + original_name = "batch_norm_1.w_0" shape = [16] dtype = "float32" min_val = float("0") @@ -3721,6 +4086,7 @@ class Program_weight_tensor_parameter_364: class Program_weight_tensor_parameter_365: name = "parameter_365" + original_name = "batch_norm_1.w_2" shape = [16] dtype = "float32" min_val = float("0") @@ -3730,6 +4096,7 @@ class Program_weight_tensor_parameter_365: class Program_weight_tensor_parameter_366: name = "parameter_366" + original_name = "batch_norm_1.w_1" shape = [16] dtype = "float32" min_val = float("0") @@ -3739,6 +4106,7 @@ class Program_weight_tensor_parameter_366: class Program_weight_tensor_parameter_367: name = "parameter_367" + original_name = "conv2d_1.w_0" shape = [16, 1, 3, 3] dtype = "float32" min_val = float("-3.11002") @@ -3750,6 +4118,7 @@ class Program_weight_tensor_parameter_367: class Program_weight_tensor_parameter_368: name = "parameter_368" + original_name = "batch_norm_0.b_0" shape = [16] dtype = "float32" min_val = float("0") @@ -3759,6 +4128,7 @@ class Program_weight_tensor_parameter_368: class Program_weight_tensor_parameter_369: name = "parameter_369" + original_name = "batch_norm_0.w_0" shape = [16] dtype = "float32" min_val = float("0") @@ -3768,6 +4138,7 @@ class Program_weight_tensor_parameter_369: class Program_weight_tensor_parameter_370: name = "parameter_370" + original_name = "batch_norm_0.w_2" shape = [16] dtype = "float32" min_val = float("0") @@ -3777,6 +4148,7 @@ class Program_weight_tensor_parameter_370: class Program_weight_tensor_parameter_371: name = "parameter_371" + original_name = "batch_norm_0.w_1" shape = [16] dtype = "float32" min_val = float("0") @@ -3786,6 +4158,7 @@ class Program_weight_tensor_parameter_371: class Program_weight_tensor_parameter_372: name = "parameter_372" + original_name = "conv2d_0.w_0" shape = [16, 3, 3, 3] dtype = "float32" min_val = float("-2.21975") diff --git a/paddle_samples/PaddleX/SeaFormer_base/subgraph_1/input_meta.py b/paddle_samples/PaddleX/SeaFormer_base/subgraph_1/input_meta.py index 191448b09..1a7446188 100644 --- a/paddle_samples/PaddleX/SeaFormer_base/subgraph_1/input_meta.py +++ b/paddle_samples/PaddleX/SeaFormer_base/subgraph_1/input_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_data_0: name = "data_0" + original_name = "param_32" shape = [1, 128, 16] dtype = "float32" min_val = float("-0.0566335") @@ -11,6 +12,7 @@ class Program_weight_tensor_data_0: class Program_weight_tensor_data_1: name = "data_1" + original_name = "param_33" shape = [1, 128, 16] dtype = "float32" min_val = float("-0.273705") @@ -22,6 +24,7 @@ class Program_weight_tensor_data_1: class Program_weight_tensor_data_2: name = "data_2" + original_name = "param_34" shape = [1, 128, 16] dtype = "float32" min_val = float("-0.0565303") @@ -33,6 +36,7 @@ class Program_weight_tensor_data_2: class Program_weight_tensor_data_3: name = "data_3" + original_name = "param_35" shape = [1, 128, 16] dtype = "float32" min_val = float("-0.147045") @@ -44,6 +48,7 @@ class Program_weight_tensor_data_3: class Program_weight_tensor_data_4: name = "data_4" + original_name = "param_36" shape = [1, 128, 16] dtype = "float32" min_val = float("-0.326286") @@ -55,6 +60,7 @@ class Program_weight_tensor_data_4: class Program_weight_tensor_data_5: name = "data_5" + original_name = "param_37" shape = [1, 128, 16] dtype = "float32" min_val = float("-0.0622126") @@ -66,6 +72,7 @@ class Program_weight_tensor_data_5: class Program_weight_tensor_data_6: name = "data_6" + original_name = "param_38" shape = [1, 128, 16] dtype = "float32" min_val = float("-0.226519") @@ -77,6 +84,7 @@ class Program_weight_tensor_data_6: class Program_weight_tensor_data_7: name = "data_7" + original_name = "param_39" shape = [1, 128, 16] dtype = "float32" min_val = float("-0.0420218") @@ -88,6 +96,7 @@ class Program_weight_tensor_data_7: class Program_weight_tensor_data_8: name = "data_8" + original_name = "param_40" shape = [1, 128, 16] dtype = "float32" min_val = float("-0.0938621") @@ -99,6 +108,7 @@ class Program_weight_tensor_data_8: class Program_weight_tensor_data_9: name = "data_9" + original_name = "param_41" shape = [1, 128, 16] dtype = "float32" min_val = float("-0.178287") @@ -110,6 +120,7 @@ class Program_weight_tensor_data_9: class Program_weight_tensor_data_10: name = "data_10" + original_name = "param_42" shape = [1, 128, 16] dtype = "float32" min_val = float("-0.030272") @@ -121,6 +132,7 @@ class Program_weight_tensor_data_10: class Program_weight_tensor_data_11: name = "data_11" + original_name = "param_43" shape = [1, 128, 16] dtype = "float32" min_val = float("-0.0619777") @@ -132,6 +144,7 @@ class Program_weight_tensor_data_11: class Program_weight_tensor_data_12: name = "data_12" + original_name = "param_44" shape = [1, 128, 16] dtype = "float32" min_val = float("-0.0873398") @@ -143,6 +156,7 @@ class Program_weight_tensor_data_12: class Program_weight_tensor_data_13: name = "data_13" + original_name = "param_45" shape = [1, 128, 16] dtype = "float32" min_val = float("-0.0652637") @@ -154,6 +168,7 @@ class Program_weight_tensor_data_13: class Program_weight_tensor_data_14: name = "data_14" + original_name = "param_46" shape = [1, 128, 16] dtype = "float32" min_val = float("-0.209707") @@ -165,6 +180,7 @@ class Program_weight_tensor_data_14: class Program_weight_tensor_data_15: name = "data_15" + original_name = "param_47" shape = [1, 128, 16] dtype = "float32" min_val = float("-0.0636572") @@ -176,6 +192,7 @@ class Program_weight_tensor_data_15: class Program_weight_tensor_data_16: name = "data_16" + original_name = "param_48" shape = [1, 192, 16] dtype = "float32" min_val = float("-0.0611749") @@ -187,6 +204,7 @@ class Program_weight_tensor_data_16: class Program_weight_tensor_data_17: name = "data_17" + original_name = "param_49" shape = [1, 192, 16] dtype = "float32" min_val = float("-0.133049") @@ -198,6 +216,7 @@ class Program_weight_tensor_data_17: class Program_weight_tensor_data_18: name = "data_18" + original_name = "param_50" shape = [1, 192, 16] dtype = "float32" min_val = float("-0.0427048") @@ -209,6 +228,7 @@ class Program_weight_tensor_data_18: class Program_weight_tensor_data_19: name = "data_19" + original_name = "param_51" shape = [1, 192, 16] dtype = "float32" min_val = float("-0.0401759") @@ -220,6 +240,7 @@ class Program_weight_tensor_data_19: class Program_weight_tensor_data_20: name = "data_20" + original_name = "param_52" shape = [1, 192, 16] dtype = "float32" min_val = float("-0.0815997") @@ -231,6 +252,7 @@ class Program_weight_tensor_data_20: class Program_weight_tensor_data_21: name = "data_21" + original_name = "param_53" shape = [1, 192, 16] dtype = "float32" min_val = float("-0.0394115") @@ -242,6 +264,7 @@ class Program_weight_tensor_data_21: class Program_weight_tensor_data_22: name = "data_22" + original_name = "param_54" shape = [1, 192, 16] dtype = "float32" min_val = float("-0.0448185") @@ -253,6 +276,7 @@ class Program_weight_tensor_data_22: class Program_weight_tensor_data_23: name = "data_23" + original_name = "param_55" shape = [1, 192, 16] dtype = "float32" min_val = float("-0.0233033") @@ -264,6 +288,7 @@ class Program_weight_tensor_data_23: class Program_weight_tensor_data_24: name = "data_24" + original_name = "param_56" shape = [1, 192, 16] dtype = "float32" min_val = float("-0.137916") @@ -275,6 +300,7 @@ class Program_weight_tensor_data_24: class Program_weight_tensor_data_25: name = "data_25" + original_name = "param_57" shape = [1, 192, 16] dtype = "float32" min_val = float("-0.0370194") @@ -286,6 +312,7 @@ class Program_weight_tensor_data_25: class Program_weight_tensor_data_26: name = "data_26" + original_name = "param_58" shape = [1, 192, 16] dtype = "float32" min_val = float("-0.0724791") @@ -297,6 +324,7 @@ class Program_weight_tensor_data_26: class Program_weight_tensor_data_27: name = "data_27" + original_name = "param_59" shape = [1, 192, 16] dtype = "float32" min_val = float("-0.0224005") @@ -308,6 +336,7 @@ class Program_weight_tensor_data_27: class Program_weight_tensor_data_28: name = "data_28" + original_name = "param_60" shape = [1, 192, 16] dtype = "float32" min_val = float("-0.0450973") @@ -319,6 +348,7 @@ class Program_weight_tensor_data_28: class Program_weight_tensor_data_29: name = "data_29" + original_name = "param_61" shape = [1, 192, 16] dtype = "float32" min_val = float("-0.037171") @@ -330,6 +360,7 @@ class Program_weight_tensor_data_29: class Program_weight_tensor_data_30: name = "data_30" + original_name = "param_62" shape = [1, 192, 16] dtype = "float32" min_val = float("-0.0260485") @@ -341,6 +372,7 @@ class Program_weight_tensor_data_30: class Program_weight_tensor_data_31: name = "data_31" + original_name = "param_63" shape = [1, 192, 16] dtype = "float32" min_val = float("-0.0275727") @@ -352,6 +384,7 @@ class Program_weight_tensor_data_31: class Program_weight_tensor_data_32: name = "data_32" + original_name = "var_733" shape = [2, 3, 512, 512] dtype = "float32" min_val = float("-1.0") diff --git a/paddle_samples/PaddleX/SeaFormer_base/subgraph_1/weight_meta.py b/paddle_samples/PaddleX/SeaFormer_base/subgraph_1/weight_meta.py index 506b8c337..e8c7b7ee6 100644 --- a/paddle_samples/PaddleX/SeaFormer_base/subgraph_1/weight_meta.py +++ b/paddle_samples/PaddleX/SeaFormer_base/subgraph_1/weight_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_parameter_0: name = "parameter_0" + original_name = "batch_norm2d_106.b_0" shape = [256] dtype = "float32" min_val = float("-0.444324") @@ -11,6 +12,7 @@ class Program_weight_tensor_parameter_0: class Program_weight_tensor_parameter_1: name = "parameter_1" + original_name = "batch_norm2d_106.w_0" shape = [256] dtype = "float32" min_val = float("0.620753") @@ -22,6 +24,7 @@ class Program_weight_tensor_parameter_1: class Program_weight_tensor_parameter_2: name = "parameter_2" + original_name = "batch_norm2d_106.w_2" shape = [256] dtype = "float32" min_val = float("0.00182379") @@ -33,6 +36,7 @@ class Program_weight_tensor_parameter_2: class Program_weight_tensor_parameter_3: name = "parameter_3" + original_name = "batch_norm2d_106.w_1" shape = [256] dtype = "float32" min_val = float("-0.276179") @@ -44,6 +48,7 @@ class Program_weight_tensor_parameter_3: class Program_weight_tensor_parameter_4: name = "parameter_4" + original_name = "conv2d_114.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.266127") @@ -55,6 +60,7 @@ class Program_weight_tensor_parameter_4: class Program_weight_tensor_parameter_5: name = "parameter_5" + original_name = "conv2d_113.b_0" shape = [1024] dtype = "float32" min_val = float("-1.34023") @@ -66,6 +72,7 @@ class Program_weight_tensor_parameter_5: class Program_weight_tensor_parameter_6: name = "parameter_6" + original_name = "conv2d_113.w_0" shape = [1024, 1, 3, 3] dtype = "float32" min_val = float("-0.35715") @@ -77,6 +84,7 @@ class Program_weight_tensor_parameter_6: class Program_weight_tensor_parameter_7: name = "parameter_7" + original_name = "batch_norm2d_105.b_0" shape = [1024] dtype = "float32" min_val = float("-3.55411") @@ -88,6 +96,7 @@ class Program_weight_tensor_parameter_7: class Program_weight_tensor_parameter_8: name = "parameter_8" + original_name = "batch_norm2d_105.w_0" shape = [1024] dtype = "float32" min_val = float("0.292252") @@ -99,6 +108,7 @@ class Program_weight_tensor_parameter_8: class Program_weight_tensor_parameter_9: name = "parameter_9" + original_name = "batch_norm2d_105.w_2" shape = [1024] dtype = "float32" min_val = float("5.60519e-45") @@ -110,6 +120,7 @@ class Program_weight_tensor_parameter_9: class Program_weight_tensor_parameter_10: name = "parameter_10" + original_name = "batch_norm2d_105.w_1" shape = [1024] dtype = "float32" min_val = float("-0.281141") @@ -121,6 +132,7 @@ class Program_weight_tensor_parameter_10: class Program_weight_tensor_parameter_11: name = "parameter_11" + original_name = "conv2d_112.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.290805") @@ -132,6 +144,7 @@ class Program_weight_tensor_parameter_11: class Program_weight_tensor_parameter_12: name = "parameter_12" + original_name = "batch_norm2d_100.b_0" shape = [256] dtype = "float32" min_val = float("-3.04095") @@ -143,6 +156,7 @@ class Program_weight_tensor_parameter_12: class Program_weight_tensor_parameter_13: name = "parameter_13" + original_name = "batch_norm2d_100.w_0" shape = [256] dtype = "float32" min_val = float("-1.83421") @@ -154,6 +168,7 @@ class Program_weight_tensor_parameter_13: class Program_weight_tensor_parameter_14: name = "parameter_14" + original_name = "batch_norm2d_100.w_2" shape = [256] dtype = "float32" min_val = float("0.0614481") @@ -165,6 +180,7 @@ class Program_weight_tensor_parameter_14: class Program_weight_tensor_parameter_15: name = "parameter_15" + original_name = "batch_norm2d_100.w_1" shape = [256] dtype = "float32" min_val = float("-0.733525") @@ -176,6 +192,7 @@ class Program_weight_tensor_parameter_15: class Program_weight_tensor_parameter_16: name = "parameter_16" + original_name = "conv2d_107.w_0" shape = [256, 384, 1, 1] dtype = "float32" min_val = float("-0.416156") @@ -187,6 +204,7 @@ class Program_weight_tensor_parameter_16: class Program_weight_tensor_parameter_17: name = "parameter_17" + original_name = "batch_norm2d_102.b_0" shape = [384] dtype = "float32" min_val = float("-0.850026") @@ -198,6 +216,7 @@ class Program_weight_tensor_parameter_17: class Program_weight_tensor_parameter_18: name = "parameter_18" + original_name = "batch_norm2d_102.w_0" shape = [384] dtype = "float32" min_val = float("-1.32528") @@ -209,6 +228,7 @@ class Program_weight_tensor_parameter_18: class Program_weight_tensor_parameter_19: name = "parameter_19" + original_name = "batch_norm2d_102.w_2" shape = [384] dtype = "float32" min_val = float("0.000328967") @@ -220,6 +240,7 @@ class Program_weight_tensor_parameter_19: class Program_weight_tensor_parameter_20: name = "parameter_20" + original_name = "batch_norm2d_102.w_1" shape = [384] dtype = "float32" min_val = float("-0.182181") @@ -231,6 +252,7 @@ class Program_weight_tensor_parameter_20: class Program_weight_tensor_parameter_21: name = "parameter_21" + original_name = "conv2d_109.w_0" shape = [384, 384, 1, 1] dtype = "float32" min_val = float("-0.283875") @@ -242,6 +264,7 @@ class Program_weight_tensor_parameter_21: class Program_weight_tensor_parameter_22: name = "parameter_22" + original_name = "batch_norm2d_101.b_0" shape = [384] dtype = "float32" min_val = float("-0.850053") @@ -253,6 +276,7 @@ class Program_weight_tensor_parameter_22: class Program_weight_tensor_parameter_23: name = "parameter_23" + original_name = "batch_norm2d_101.w_0" shape = [384] dtype = "float32" min_val = float("-1.30918") @@ -264,6 +288,7 @@ class Program_weight_tensor_parameter_23: class Program_weight_tensor_parameter_24: name = "parameter_24" + original_name = "batch_norm2d_101.w_2" shape = [384] dtype = "float32" min_val = float("0.00035918") @@ -275,6 +300,7 @@ class Program_weight_tensor_parameter_24: class Program_weight_tensor_parameter_25: name = "parameter_25" + original_name = "batch_norm2d_101.w_1" shape = [384] dtype = "float32" min_val = float("-0.309166") @@ -286,6 +312,7 @@ class Program_weight_tensor_parameter_25: class Program_weight_tensor_parameter_26: name = "parameter_26" + original_name = "conv2d_108.w_0" shape = [384, 384, 1, 1] dtype = "float32" min_val = float("-0.299239") @@ -297,6 +324,7 @@ class Program_weight_tensor_parameter_26: class Program_weight_tensor_parameter_27: name = "parameter_27" + original_name = "batch_norm2d_104.b_0" shape = [256] dtype = "float32" min_val = float("-4.44376") @@ -308,6 +336,7 @@ class Program_weight_tensor_parameter_27: class Program_weight_tensor_parameter_28: name = "parameter_28" + original_name = "batch_norm2d_104.w_0" shape = [256] dtype = "float32" min_val = float("1.50089") @@ -319,6 +348,7 @@ class Program_weight_tensor_parameter_28: class Program_weight_tensor_parameter_29: name = "parameter_29" + original_name = "batch_norm2d_104.w_2" shape = [256] dtype = "float32" min_val = float("0.0292404") @@ -330,6 +360,7 @@ class Program_weight_tensor_parameter_29: class Program_weight_tensor_parameter_30: name = "parameter_30" + original_name = "batch_norm2d_104.w_1" shape = [256] dtype = "float32" min_val = float("-0.488884") @@ -341,6 +372,7 @@ class Program_weight_tensor_parameter_30: class Program_weight_tensor_parameter_31: name = "parameter_31" + original_name = "conv2d_111.w_0" shape = [256, 768, 1, 1] dtype = "float32" min_val = float("-0.259371") @@ -352,6 +384,7 @@ class Program_weight_tensor_parameter_31: class Program_weight_tensor_parameter_32: name = "parameter_32" + original_name = "batch_norm2d_103.b_0" shape = [768] dtype = "float32" min_val = float("-2.33753") @@ -363,6 +396,7 @@ class Program_weight_tensor_parameter_32: class Program_weight_tensor_parameter_33: name = "parameter_33" + original_name = "batch_norm2d_103.w_0" shape = [768] dtype = "float32" min_val = float("0.366406") @@ -374,6 +408,7 @@ class Program_weight_tensor_parameter_33: class Program_weight_tensor_parameter_34: name = "parameter_34" + original_name = "batch_norm2d_103.w_2" shape = [768] dtype = "float32" min_val = float("0.000197175") @@ -385,6 +420,7 @@ class Program_weight_tensor_parameter_34: class Program_weight_tensor_parameter_35: name = "parameter_35" + original_name = "batch_norm2d_103.w_1" shape = [768] dtype = "float32" min_val = float("-0.437591") @@ -396,6 +432,7 @@ class Program_weight_tensor_parameter_35: class Program_weight_tensor_parameter_36: name = "parameter_36" + original_name = "conv2d_110.w_0" shape = [768, 1, 3, 3] dtype = "float32" min_val = float("-0.286788") @@ -407,6 +444,7 @@ class Program_weight_tensor_parameter_36: class Program_weight_tensor_parameter_37: name = "parameter_37" + original_name = "batch_norm2d_99.b_0" shape = [384] dtype = "float32" min_val = float("-1.84706") @@ -418,6 +456,7 @@ class Program_weight_tensor_parameter_37: class Program_weight_tensor_parameter_38: name = "parameter_38" + original_name = "batch_norm2d_99.w_0" shape = [384] dtype = "float32" min_val = float("0.169848") @@ -429,6 +468,7 @@ class Program_weight_tensor_parameter_38: class Program_weight_tensor_parameter_39: name = "parameter_39" + original_name = "batch_norm2d_99.w_2" shape = [384] dtype = "float32" min_val = float("1.29156") @@ -440,6 +480,7 @@ class Program_weight_tensor_parameter_39: class Program_weight_tensor_parameter_40: name = "parameter_40" + original_name = "batch_norm2d_99.w_1" shape = [384] dtype = "float32" min_val = float("-1.68954") @@ -451,6 +492,7 @@ class Program_weight_tensor_parameter_40: class Program_weight_tensor_parameter_41: name = "parameter_41" + original_name = "conv2d_106.w_0" shape = [384, 256, 1, 1] dtype = "float32" min_val = float("-0.480865") @@ -462,6 +504,7 @@ class Program_weight_tensor_parameter_41: class Program_weight_tensor_parameter_42: name = "parameter_42" + original_name = "batch_norm2d_98.b_0" shape = [192] dtype = "float32" min_val = float("-0.522947") @@ -473,6 +516,7 @@ class Program_weight_tensor_parameter_42: class Program_weight_tensor_parameter_43: name = "parameter_43" + original_name = "batch_norm2d_98.w_0" shape = [192] dtype = "float32" min_val = float("0.0974245") @@ -484,6 +528,7 @@ class Program_weight_tensor_parameter_43: class Program_weight_tensor_parameter_44: name = "parameter_44" + original_name = "batch_norm2d_98.w_2" shape = [192] dtype = "float32" min_val = float("0.878147") @@ -495,6 +540,7 @@ class Program_weight_tensor_parameter_44: class Program_weight_tensor_parameter_45: name = "parameter_45" + original_name = "batch_norm2d_98.w_1" shape = [192] dtype = "float32" min_val = float("-0.700122") @@ -506,6 +552,7 @@ class Program_weight_tensor_parameter_45: class Program_weight_tensor_parameter_46: name = "parameter_46" + original_name = "conv2d_105.w_0" shape = [192, 256, 1, 1] dtype = "float32" min_val = float("-0.240489") @@ -517,6 +564,7 @@ class Program_weight_tensor_parameter_46: class Program_weight_tensor_parameter_47: name = "parameter_47" + original_name = "batch_norm2d_97.b_0" shape = [192] dtype = "float32" min_val = float("-0.606751") @@ -528,6 +576,7 @@ class Program_weight_tensor_parameter_47: class Program_weight_tensor_parameter_48: name = "parameter_48" + original_name = "batch_norm2d_97.w_0" shape = [192] dtype = "float32" min_val = float("0.151252") @@ -539,6 +588,7 @@ class Program_weight_tensor_parameter_48: class Program_weight_tensor_parameter_49: name = "parameter_49" + original_name = "batch_norm2d_97.w_2" shape = [192] dtype = "float32" min_val = float("0.900985") @@ -550,6 +600,7 @@ class Program_weight_tensor_parameter_49: class Program_weight_tensor_parameter_50: name = "parameter_50" + original_name = "batch_norm2d_97.w_1" shape = [192] dtype = "float32" min_val = float("-0.419134") @@ -561,6 +612,7 @@ class Program_weight_tensor_parameter_50: class Program_weight_tensor_parameter_51: name = "parameter_51" + original_name = "conv2d_104.w_0" shape = [192, 256, 1, 1] dtype = "float32" min_val = float("-0.263205") @@ -572,6 +624,7 @@ class Program_weight_tensor_parameter_51: class Program_weight_tensor_parameter_52: name = "parameter_52" + original_name = "batch_norm2d_96.b_0" shape = [256] dtype = "float32" min_val = float("-0.153423") @@ -583,6 +636,7 @@ class Program_weight_tensor_parameter_52: class Program_weight_tensor_parameter_53: name = "parameter_53" + original_name = "batch_norm2d_96.w_0" shape = [256] dtype = "float32" min_val = float("0.671476") @@ -594,6 +648,7 @@ class Program_weight_tensor_parameter_53: class Program_weight_tensor_parameter_54: name = "parameter_54" + original_name = "batch_norm2d_96.w_2" shape = [256] dtype = "float32" min_val = float("0.00202683") @@ -605,6 +660,7 @@ class Program_weight_tensor_parameter_54: class Program_weight_tensor_parameter_55: name = "parameter_55" + original_name = "batch_norm2d_96.w_1" shape = [256] dtype = "float32" min_val = float("-0.249653") @@ -616,6 +672,7 @@ class Program_weight_tensor_parameter_55: class Program_weight_tensor_parameter_56: name = "parameter_56" + original_name = "conv2d_103.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.491517") @@ -627,6 +684,7 @@ class Program_weight_tensor_parameter_56: class Program_weight_tensor_parameter_57: name = "parameter_57" + original_name = "conv2d_102.b_0" shape = [1024] dtype = "float32" min_val = float("-1.60786") @@ -638,6 +696,7 @@ class Program_weight_tensor_parameter_57: class Program_weight_tensor_parameter_58: name = "parameter_58" + original_name = "conv2d_102.w_0" shape = [1024, 1, 3, 3] dtype = "float32" min_val = float("-0.437132") @@ -649,6 +708,7 @@ class Program_weight_tensor_parameter_58: class Program_weight_tensor_parameter_59: name = "parameter_59" + original_name = "batch_norm2d_95.b_0" shape = [1024] dtype = "float32" min_val = float("-4.07092") @@ -660,6 +720,7 @@ class Program_weight_tensor_parameter_59: class Program_weight_tensor_parameter_60: name = "parameter_60" + original_name = "batch_norm2d_95.w_0" shape = [1024] dtype = "float32" min_val = float("0.336777") @@ -671,6 +732,7 @@ class Program_weight_tensor_parameter_60: class Program_weight_tensor_parameter_61: name = "parameter_61" + original_name = "batch_norm2d_95.w_2" shape = [1024] dtype = "float32" min_val = float("5.60519e-45") @@ -682,6 +744,7 @@ class Program_weight_tensor_parameter_61: class Program_weight_tensor_parameter_62: name = "parameter_62" + original_name = "batch_norm2d_95.w_1" shape = [1024] dtype = "float32" min_val = float("-1.03216") @@ -693,6 +756,7 @@ class Program_weight_tensor_parameter_62: class Program_weight_tensor_parameter_63: name = "parameter_63" + original_name = "conv2d_101.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.380047") @@ -704,6 +768,7 @@ class Program_weight_tensor_parameter_63: class Program_weight_tensor_parameter_64: name = "parameter_64" + original_name = "batch_norm2d_90.b_0" shape = [256] dtype = "float32" min_val = float("-2.45081") @@ -715,6 +780,7 @@ class Program_weight_tensor_parameter_64: class Program_weight_tensor_parameter_65: name = "parameter_65" + original_name = "batch_norm2d_90.w_0" shape = [256] dtype = "float32" min_val = float("-2.54222") @@ -726,6 +792,7 @@ class Program_weight_tensor_parameter_65: class Program_weight_tensor_parameter_66: name = "parameter_66" + original_name = "batch_norm2d_90.w_2" shape = [256] dtype = "float32" min_val = float("0.0449357") @@ -737,6 +804,7 @@ class Program_weight_tensor_parameter_66: class Program_weight_tensor_parameter_67: name = "parameter_67" + original_name = "batch_norm2d_90.w_1" shape = [256] dtype = "float32" min_val = float("-0.467567") @@ -748,6 +816,7 @@ class Program_weight_tensor_parameter_67: class Program_weight_tensor_parameter_68: name = "parameter_68" + original_name = "conv2d_96.w_0" shape = [256, 384, 1, 1] dtype = "float32" min_val = float("-0.246068") @@ -759,6 +828,7 @@ class Program_weight_tensor_parameter_68: class Program_weight_tensor_parameter_69: name = "parameter_69" + original_name = "batch_norm2d_92.b_0" shape = [384] dtype = "float32" min_val = float("-0.961969") @@ -770,6 +840,7 @@ class Program_weight_tensor_parameter_69: class Program_weight_tensor_parameter_70: name = "parameter_70" + original_name = "batch_norm2d_92.w_0" shape = [384] dtype = "float32" min_val = float("-1.64044") @@ -781,6 +852,7 @@ class Program_weight_tensor_parameter_70: class Program_weight_tensor_parameter_71: name = "parameter_71" + original_name = "batch_norm2d_92.w_2" shape = [384] dtype = "float32" min_val = float("0.000121344") @@ -792,6 +864,7 @@ class Program_weight_tensor_parameter_71: class Program_weight_tensor_parameter_72: name = "parameter_72" + original_name = "batch_norm2d_92.w_1" shape = [384] dtype = "float32" min_val = float("-0.260095") @@ -803,6 +876,7 @@ class Program_weight_tensor_parameter_72: class Program_weight_tensor_parameter_73: name = "parameter_73" + original_name = "conv2d_98.w_0" shape = [384, 384, 1, 1] dtype = "float32" min_val = float("-0.222563") @@ -814,6 +888,7 @@ class Program_weight_tensor_parameter_73: class Program_weight_tensor_parameter_74: name = "parameter_74" + original_name = "batch_norm2d_91.b_0" shape = [384] dtype = "float32" min_val = float("-0.961999") @@ -825,6 +900,7 @@ class Program_weight_tensor_parameter_74: class Program_weight_tensor_parameter_75: name = "parameter_75" + original_name = "batch_norm2d_91.w_0" shape = [384] dtype = "float32" min_val = float("-1.60289") @@ -836,6 +912,7 @@ class Program_weight_tensor_parameter_75: class Program_weight_tensor_parameter_76: name = "parameter_76" + original_name = "batch_norm2d_91.w_2" shape = [384] dtype = "float32" min_val = float("0.000177405") @@ -847,6 +924,7 @@ class Program_weight_tensor_parameter_76: class Program_weight_tensor_parameter_77: name = "parameter_77" + original_name = "batch_norm2d_91.w_1" shape = [384] dtype = "float32" min_val = float("-0.146489") @@ -858,6 +936,7 @@ class Program_weight_tensor_parameter_77: class Program_weight_tensor_parameter_78: name = "parameter_78" + original_name = "conv2d_97.w_0" shape = [384, 384, 1, 1] dtype = "float32" min_val = float("-0.250236") @@ -869,6 +948,7 @@ class Program_weight_tensor_parameter_78: class Program_weight_tensor_parameter_79: name = "parameter_79" + original_name = "batch_norm2d_94.b_0" shape = [256] dtype = "float32" min_val = float("-2.51167") @@ -880,6 +960,7 @@ class Program_weight_tensor_parameter_79: class Program_weight_tensor_parameter_80: name = "parameter_80" + original_name = "batch_norm2d_94.w_0" shape = [256] dtype = "float32" min_val = float("1.17717") @@ -891,6 +972,7 @@ class Program_weight_tensor_parameter_80: class Program_weight_tensor_parameter_81: name = "parameter_81" + original_name = "batch_norm2d_94.w_2" shape = [256] dtype = "float32" min_val = float("0.0102202") @@ -902,6 +984,7 @@ class Program_weight_tensor_parameter_81: class Program_weight_tensor_parameter_82: name = "parameter_82" + original_name = "batch_norm2d_94.w_1" shape = [256] dtype = "float32" min_val = float("-0.471887") @@ -913,6 +996,7 @@ class Program_weight_tensor_parameter_82: class Program_weight_tensor_parameter_83: name = "parameter_83" + original_name = "conv2d_100.w_0" shape = [256, 768, 1, 1] dtype = "float32" min_val = float("-0.534075") @@ -924,6 +1008,7 @@ class Program_weight_tensor_parameter_83: class Program_weight_tensor_parameter_84: name = "parameter_84" + original_name = "batch_norm2d_93.b_0" shape = [768] dtype = "float32" min_val = float("-2.78729") @@ -935,6 +1020,7 @@ class Program_weight_tensor_parameter_84: class Program_weight_tensor_parameter_85: name = "parameter_85" + original_name = "batch_norm2d_93.w_0" shape = [768] dtype = "float32" min_val = float("0.21226") @@ -946,6 +1032,7 @@ class Program_weight_tensor_parameter_85: class Program_weight_tensor_parameter_86: name = "parameter_86" + original_name = "batch_norm2d_93.w_2" shape = [768] dtype = "float32" min_val = float("0.000170044") @@ -957,6 +1044,7 @@ class Program_weight_tensor_parameter_86: class Program_weight_tensor_parameter_87: name = "parameter_87" + original_name = "batch_norm2d_93.w_1" shape = [768] dtype = "float32" min_val = float("-0.68698") @@ -968,6 +1056,7 @@ class Program_weight_tensor_parameter_87: class Program_weight_tensor_parameter_88: name = "parameter_88" + original_name = "conv2d_99.w_0" shape = [768, 1, 3, 3] dtype = "float32" min_val = float("-0.210206") @@ -979,6 +1068,7 @@ class Program_weight_tensor_parameter_88: class Program_weight_tensor_parameter_89: name = "parameter_89" + original_name = "batch_norm2d_89.b_0" shape = [384] dtype = "float32" min_val = float("-2.09947") @@ -990,6 +1080,7 @@ class Program_weight_tensor_parameter_89: class Program_weight_tensor_parameter_90: name = "parameter_90" + original_name = "batch_norm2d_89.w_0" shape = [384] dtype = "float32" min_val = float("0.144038") @@ -1001,6 +1092,7 @@ class Program_weight_tensor_parameter_90: class Program_weight_tensor_parameter_91: name = "parameter_91" + original_name = "batch_norm2d_89.w_2" shape = [384] dtype = "float32" min_val = float("1.12788") @@ -1012,6 +1104,7 @@ class Program_weight_tensor_parameter_91: class Program_weight_tensor_parameter_92: name = "parameter_92" + original_name = "batch_norm2d_89.w_1" shape = [384] dtype = "float32" min_val = float("-2.48818") @@ -1023,6 +1116,7 @@ class Program_weight_tensor_parameter_92: class Program_weight_tensor_parameter_93: name = "parameter_93" + original_name = "conv2d_95.w_0" shape = [384, 256, 1, 1] dtype = "float32" min_val = float("-0.604431") @@ -1034,6 +1128,7 @@ class Program_weight_tensor_parameter_93: class Program_weight_tensor_parameter_94: name = "parameter_94" + original_name = "batch_norm2d_88.b_0" shape = [192] dtype = "float32" min_val = float("-0.804018") @@ -1045,6 +1140,7 @@ class Program_weight_tensor_parameter_94: class Program_weight_tensor_parameter_95: name = "parameter_95" + original_name = "batch_norm2d_88.w_0" shape = [192] dtype = "float32" min_val = float("0.056415") @@ -1056,6 +1152,7 @@ class Program_weight_tensor_parameter_95: class Program_weight_tensor_parameter_96: name = "parameter_96" + original_name = "batch_norm2d_88.w_2" shape = [192] dtype = "float32" min_val = float("0.692488") @@ -1067,6 +1164,7 @@ class Program_weight_tensor_parameter_96: class Program_weight_tensor_parameter_97: name = "parameter_97" + original_name = "batch_norm2d_88.w_1" shape = [192] dtype = "float32" min_val = float("-1.31931") @@ -1078,6 +1176,7 @@ class Program_weight_tensor_parameter_97: class Program_weight_tensor_parameter_98: name = "parameter_98" + original_name = "conv2d_94.w_0" shape = [192, 256, 1, 1] dtype = "float32" min_val = float("-0.211676") @@ -1089,6 +1188,7 @@ class Program_weight_tensor_parameter_98: class Program_weight_tensor_parameter_99: name = "parameter_99" + original_name = "batch_norm2d_87.b_0" shape = [192] dtype = "float32" min_val = float("-1.24924") @@ -1100,6 +1200,7 @@ class Program_weight_tensor_parameter_99: class Program_weight_tensor_parameter_100: name = "parameter_100" + original_name = "batch_norm2d_87.w_0" shape = [192] dtype = "float32" min_val = float("0.0925163") @@ -1111,6 +1212,7 @@ class Program_weight_tensor_parameter_100: class Program_weight_tensor_parameter_101: name = "parameter_101" + original_name = "batch_norm2d_87.w_2" shape = [192] dtype = "float32" min_val = float("0.79422") @@ -1122,6 +1224,7 @@ class Program_weight_tensor_parameter_101: class Program_weight_tensor_parameter_102: name = "parameter_102" + original_name = "batch_norm2d_87.w_1" shape = [192] dtype = "float32" min_val = float("-0.758144") @@ -1133,6 +1236,7 @@ class Program_weight_tensor_parameter_102: class Program_weight_tensor_parameter_103: name = "parameter_103" + original_name = "conv2d_93.w_0" shape = [192, 256, 1, 1] dtype = "float32" min_val = float("-0.285925") @@ -1144,6 +1248,7 @@ class Program_weight_tensor_parameter_103: class Program_weight_tensor_parameter_104: name = "parameter_104" + original_name = "batch_norm2d_86.b_0" shape = [256] dtype = "float32" min_val = float("-0.656979") @@ -1155,6 +1260,7 @@ class Program_weight_tensor_parameter_104: class Program_weight_tensor_parameter_105: name = "parameter_105" + original_name = "batch_norm2d_86.w_0" shape = [256] dtype = "float32" min_val = float("0.509761") @@ -1166,6 +1272,7 @@ class Program_weight_tensor_parameter_105: class Program_weight_tensor_parameter_106: name = "parameter_106" + original_name = "batch_norm2d_86.w_2" shape = [256] dtype = "float32" min_val = float("0.00152009") @@ -1177,6 +1284,7 @@ class Program_weight_tensor_parameter_106: class Program_weight_tensor_parameter_107: name = "parameter_107" + original_name = "batch_norm2d_86.w_1" shape = [256] dtype = "float32" min_val = float("-0.23656") @@ -1188,6 +1296,7 @@ class Program_weight_tensor_parameter_107: class Program_weight_tensor_parameter_108: name = "parameter_108" + original_name = "conv2d_92.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.462406") @@ -1199,6 +1308,7 @@ class Program_weight_tensor_parameter_108: class Program_weight_tensor_parameter_109: name = "parameter_109" + original_name = "conv2d_91.b_0" shape = [1024] dtype = "float32" min_val = float("-1.7096") @@ -1210,6 +1320,7 @@ class Program_weight_tensor_parameter_109: class Program_weight_tensor_parameter_110: name = "parameter_110" + original_name = "conv2d_91.w_0" shape = [1024, 1, 3, 3] dtype = "float32" min_val = float("-0.51296") @@ -1221,6 +1332,7 @@ class Program_weight_tensor_parameter_110: class Program_weight_tensor_parameter_111: name = "parameter_111" + original_name = "batch_norm2d_85.b_0" shape = [1024] dtype = "float32" min_val = float("-4.37417") @@ -1232,6 +1344,7 @@ class Program_weight_tensor_parameter_111: class Program_weight_tensor_parameter_112: name = "parameter_112" + original_name = "batch_norm2d_85.w_0" shape = [1024] dtype = "float32" min_val = float("0.223791") @@ -1243,6 +1356,7 @@ class Program_weight_tensor_parameter_112: class Program_weight_tensor_parameter_113: name = "parameter_113" + original_name = "batch_norm2d_85.w_2" shape = [1024] dtype = "float32" min_val = float("0.3011") @@ -1254,6 +1368,7 @@ class Program_weight_tensor_parameter_113: class Program_weight_tensor_parameter_114: name = "parameter_114" + original_name = "batch_norm2d_85.w_1" shape = [1024] dtype = "float32" min_val = float("-0.873864") @@ -1265,6 +1380,7 @@ class Program_weight_tensor_parameter_114: class Program_weight_tensor_parameter_115: name = "parameter_115" + original_name = "conv2d_90.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.374988") @@ -1276,6 +1392,7 @@ class Program_weight_tensor_parameter_115: class Program_weight_tensor_parameter_116: name = "parameter_116" + original_name = "batch_norm2d_80.b_0" shape = [256] dtype = "float32" min_val = float("-2.41558") @@ -1287,6 +1404,7 @@ class Program_weight_tensor_parameter_116: class Program_weight_tensor_parameter_117: name = "parameter_117" + original_name = "batch_norm2d_80.w_0" shape = [256] dtype = "float32" min_val = float("-2.21238") @@ -1298,6 +1416,7 @@ class Program_weight_tensor_parameter_117: class Program_weight_tensor_parameter_118: name = "parameter_118" + original_name = "batch_norm2d_80.w_2" shape = [256] dtype = "float32" min_val = float("0.12715") @@ -1309,6 +1428,7 @@ class Program_weight_tensor_parameter_118: class Program_weight_tensor_parameter_119: name = "parameter_119" + original_name = "batch_norm2d_80.w_1" shape = [256] dtype = "float32" min_val = float("-0.737314") @@ -1320,6 +1440,7 @@ class Program_weight_tensor_parameter_119: class Program_weight_tensor_parameter_120: name = "parameter_120" + original_name = "conv2d_85.w_0" shape = [256, 384, 1, 1] dtype = "float32" min_val = float("-0.550376") @@ -1331,6 +1452,7 @@ class Program_weight_tensor_parameter_120: class Program_weight_tensor_parameter_121: name = "parameter_121" + original_name = "batch_norm2d_82.b_0" shape = [384] dtype = "float32" min_val = float("-1.37383") @@ -1342,6 +1464,7 @@ class Program_weight_tensor_parameter_121: class Program_weight_tensor_parameter_122: name = "parameter_122" + original_name = "batch_norm2d_82.w_0" shape = [384] dtype = "float32" min_val = float("-1.75081") @@ -1353,6 +1476,7 @@ class Program_weight_tensor_parameter_122: class Program_weight_tensor_parameter_123: name = "parameter_123" + original_name = "batch_norm2d_82.w_2" shape = [384] dtype = "float32" min_val = float("0.000755778") @@ -1364,6 +1488,7 @@ class Program_weight_tensor_parameter_123: class Program_weight_tensor_parameter_124: name = "parameter_124" + original_name = "batch_norm2d_82.w_1" shape = [384] dtype = "float32" min_val = float("-0.372716") @@ -1375,6 +1500,7 @@ class Program_weight_tensor_parameter_124: class Program_weight_tensor_parameter_125: name = "parameter_125" + original_name = "conv2d_87.w_0" shape = [384, 384, 1, 1] dtype = "float32" min_val = float("-0.145661") @@ -1386,6 +1512,7 @@ class Program_weight_tensor_parameter_125: class Program_weight_tensor_parameter_126: name = "parameter_126" + original_name = "batch_norm2d_81.b_0" shape = [384] dtype = "float32" min_val = float("-1.37389") @@ -1397,6 +1524,7 @@ class Program_weight_tensor_parameter_126: class Program_weight_tensor_parameter_127: name = "parameter_127" + original_name = "batch_norm2d_81.w_0" shape = [384] dtype = "float32" min_val = float("-1.55823") @@ -1408,6 +1536,7 @@ class Program_weight_tensor_parameter_127: class Program_weight_tensor_parameter_128: name = "parameter_128" + original_name = "batch_norm2d_81.w_2" shape = [384] dtype = "float32" min_val = float("0.000848167") @@ -1419,6 +1548,7 @@ class Program_weight_tensor_parameter_128: class Program_weight_tensor_parameter_129: name = "parameter_129" + original_name = "batch_norm2d_81.w_1" shape = [384] dtype = "float32" min_val = float("-0.309302") @@ -1430,6 +1560,7 @@ class Program_weight_tensor_parameter_129: class Program_weight_tensor_parameter_130: name = "parameter_130" + original_name = "conv2d_86.w_0" shape = [384, 384, 1, 1] dtype = "float32" min_val = float("-0.174078") @@ -1441,6 +1572,7 @@ class Program_weight_tensor_parameter_130: class Program_weight_tensor_parameter_131: name = "parameter_131" + original_name = "batch_norm2d_84.b_0" shape = [256] dtype = "float32" min_val = float("-1.76939") @@ -1452,6 +1584,7 @@ class Program_weight_tensor_parameter_131: class Program_weight_tensor_parameter_132: name = "parameter_132" + original_name = "batch_norm2d_84.w_0" shape = [256] dtype = "float32" min_val = float("0.954846") @@ -1463,6 +1596,7 @@ class Program_weight_tensor_parameter_132: class Program_weight_tensor_parameter_133: name = "parameter_133" + original_name = "batch_norm2d_84.w_2" shape = [256] dtype = "float32" min_val = float("0.00894244") @@ -1474,6 +1608,7 @@ class Program_weight_tensor_parameter_133: class Program_weight_tensor_parameter_134: name = "parameter_134" + original_name = "batch_norm2d_84.w_1" shape = [256] dtype = "float32" min_val = float("-0.346434") @@ -1485,6 +1620,7 @@ class Program_weight_tensor_parameter_134: class Program_weight_tensor_parameter_135: name = "parameter_135" + original_name = "conv2d_89.w_0" shape = [256, 768, 1, 1] dtype = "float32" min_val = float("-0.387027") @@ -1496,6 +1632,7 @@ class Program_weight_tensor_parameter_135: class Program_weight_tensor_parameter_136: name = "parameter_136" + original_name = "batch_norm2d_83.b_0" shape = [768] dtype = "float32" min_val = float("-5.31578") @@ -1507,6 +1644,7 @@ class Program_weight_tensor_parameter_136: class Program_weight_tensor_parameter_137: name = "parameter_137" + original_name = "batch_norm2d_83.w_0" shape = [768] dtype = "float32" min_val = float("0.185496") @@ -1518,6 +1656,7 @@ class Program_weight_tensor_parameter_137: class Program_weight_tensor_parameter_138: name = "parameter_138" + original_name = "batch_norm2d_83.w_2" shape = [768] dtype = "float32" min_val = float("0.000365502") @@ -1529,6 +1668,7 @@ class Program_weight_tensor_parameter_138: class Program_weight_tensor_parameter_139: name = "parameter_139" + original_name = "batch_norm2d_83.w_1" shape = [768] dtype = "float32" min_val = float("-1.1485") @@ -1540,6 +1680,7 @@ class Program_weight_tensor_parameter_139: class Program_weight_tensor_parameter_140: name = "parameter_140" + original_name = "conv2d_88.w_0" shape = [768, 1, 3, 3] dtype = "float32" min_val = float("-0.249049") @@ -1551,6 +1692,7 @@ class Program_weight_tensor_parameter_140: class Program_weight_tensor_parameter_141: name = "parameter_141" + original_name = "batch_norm2d_79.b_0" shape = [384] dtype = "float32" min_val = float("-3.28297") @@ -1562,6 +1704,7 @@ class Program_weight_tensor_parameter_141: class Program_weight_tensor_parameter_142: name = "parameter_142" + original_name = "batch_norm2d_79.w_0" shape = [384] dtype = "float32" min_val = float("0.241517") @@ -1573,6 +1716,7 @@ class Program_weight_tensor_parameter_142: class Program_weight_tensor_parameter_143: name = "parameter_143" + original_name = "batch_norm2d_79.w_2" shape = [384] dtype = "float32" min_val = float("1.13753") @@ -1584,6 +1728,7 @@ class Program_weight_tensor_parameter_143: class Program_weight_tensor_parameter_144: name = "parameter_144" + original_name = "batch_norm2d_79.w_1" shape = [384] dtype = "float32" min_val = float("-2.78625") @@ -1595,6 +1740,7 @@ class Program_weight_tensor_parameter_144: class Program_weight_tensor_parameter_145: name = "parameter_145" + original_name = "conv2d_84.w_0" shape = [384, 256, 1, 1] dtype = "float32" min_val = float("-0.46311") @@ -1606,6 +1752,7 @@ class Program_weight_tensor_parameter_145: class Program_weight_tensor_parameter_146: name = "parameter_146" + original_name = "batch_norm2d_78.b_0" shape = [192] dtype = "float32" min_val = float("-0.999212") @@ -1617,6 +1764,7 @@ class Program_weight_tensor_parameter_146: class Program_weight_tensor_parameter_147: name = "parameter_147" + original_name = "batch_norm2d_78.w_0" shape = [192] dtype = "float32" min_val = float("0.0753603") @@ -1628,6 +1776,7 @@ class Program_weight_tensor_parameter_147: class Program_weight_tensor_parameter_148: name = "parameter_148" + original_name = "batch_norm2d_78.w_2" shape = [192] dtype = "float32" min_val = float("0.754397") @@ -1639,6 +1788,7 @@ class Program_weight_tensor_parameter_148: class Program_weight_tensor_parameter_149: name = "parameter_149" + original_name = "batch_norm2d_78.w_1" shape = [192] dtype = "float32" min_val = float("-2.77602") @@ -1650,6 +1800,7 @@ class Program_weight_tensor_parameter_149: class Program_weight_tensor_parameter_150: name = "parameter_150" + original_name = "conv2d_83.w_0" shape = [192, 256, 1, 1] dtype = "float32" min_val = float("-0.282251") @@ -1661,6 +1812,7 @@ class Program_weight_tensor_parameter_150: class Program_weight_tensor_parameter_151: name = "parameter_151" + original_name = "batch_norm2d_77.b_0" shape = [192] dtype = "float32" min_val = float("-1.47602") @@ -1672,6 +1824,7 @@ class Program_weight_tensor_parameter_151: class Program_weight_tensor_parameter_152: name = "parameter_152" + original_name = "batch_norm2d_77.w_0" shape = [192] dtype = "float32" min_val = float("0.108658") @@ -1683,6 +1836,7 @@ class Program_weight_tensor_parameter_152: class Program_weight_tensor_parameter_153: name = "parameter_153" + original_name = "batch_norm2d_77.w_2" shape = [192] dtype = "float32" min_val = float("0.703333") @@ -1694,6 +1848,7 @@ class Program_weight_tensor_parameter_153: class Program_weight_tensor_parameter_154: name = "parameter_154" + original_name = "batch_norm2d_77.w_1" shape = [192] dtype = "float32" min_val = float("-1.03925") @@ -1705,6 +1860,7 @@ class Program_weight_tensor_parameter_154: class Program_weight_tensor_parameter_155: name = "parameter_155" + original_name = "conv2d_82.w_0" shape = [192, 256, 1, 1] dtype = "float32" min_val = float("-0.244025") @@ -1716,6 +1872,7 @@ class Program_weight_tensor_parameter_155: class Program_weight_tensor_parameter_156: name = "parameter_156" + original_name = "batch_norm2d_76.b_0" shape = [256] dtype = "float32" min_val = float("-1.63213") @@ -1727,6 +1884,7 @@ class Program_weight_tensor_parameter_156: class Program_weight_tensor_parameter_157: name = "parameter_157" + original_name = "batch_norm2d_76.w_0" shape = [256] dtype = "float32" min_val = float("0.432403") @@ -1738,6 +1896,7 @@ class Program_weight_tensor_parameter_157: class Program_weight_tensor_parameter_158: name = "parameter_158" + original_name = "batch_norm2d_76.w_2" shape = [256] dtype = "float32" min_val = float("0.0053514") @@ -1749,6 +1908,7 @@ class Program_weight_tensor_parameter_158: class Program_weight_tensor_parameter_159: name = "parameter_159" + original_name = "batch_norm2d_76.w_1" shape = [256] dtype = "float32" min_val = float("-0.451716") @@ -1760,6 +1920,7 @@ class Program_weight_tensor_parameter_159: class Program_weight_tensor_parameter_160: name = "parameter_160" + original_name = "conv2d_81.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.264072") @@ -1771,6 +1932,7 @@ class Program_weight_tensor_parameter_160: class Program_weight_tensor_parameter_161: name = "parameter_161" + original_name = "conv2d_80.b_0" shape = [1024] dtype = "float32" min_val = float("-2.13262") @@ -1782,6 +1944,7 @@ class Program_weight_tensor_parameter_161: class Program_weight_tensor_parameter_162: name = "parameter_162" + original_name = "conv2d_80.w_0" shape = [1024, 1, 3, 3] dtype = "float32" min_val = float("-0.485124") @@ -1793,6 +1956,7 @@ class Program_weight_tensor_parameter_162: class Program_weight_tensor_parameter_163: name = "parameter_163" + original_name = "batch_norm2d_75.b_0" shape = [1024] dtype = "float32" min_val = float("-4.9109") @@ -1804,6 +1968,7 @@ class Program_weight_tensor_parameter_163: class Program_weight_tensor_parameter_164: name = "parameter_164" + original_name = "batch_norm2d_75.w_0" shape = [1024] dtype = "float32" min_val = float("0.348173") @@ -1815,6 +1980,7 @@ class Program_weight_tensor_parameter_164: class Program_weight_tensor_parameter_165: name = "parameter_165" + original_name = "batch_norm2d_75.w_2" shape = [1024] dtype = "float32" min_val = float("0.483928") @@ -1826,6 +1992,7 @@ class Program_weight_tensor_parameter_165: class Program_weight_tensor_parameter_166: name = "parameter_166" + original_name = "batch_norm2d_75.w_1" shape = [1024] dtype = "float32" min_val = float("-1.47585") @@ -1837,6 +2004,7 @@ class Program_weight_tensor_parameter_166: class Program_weight_tensor_parameter_167: name = "parameter_167" + original_name = "conv2d_79.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.255619") @@ -1848,6 +2016,7 @@ class Program_weight_tensor_parameter_167: class Program_weight_tensor_parameter_168: name = "parameter_168" + original_name = "batch_norm2d_70.b_0" shape = [256] dtype = "float32" min_val = float("-3.02624") @@ -1859,6 +2028,7 @@ class Program_weight_tensor_parameter_168: class Program_weight_tensor_parameter_169: name = "parameter_169" + original_name = "batch_norm2d_70.w_0" shape = [256] dtype = "float32" min_val = float("-2.2426") @@ -1870,6 +2040,7 @@ class Program_weight_tensor_parameter_169: class Program_weight_tensor_parameter_170: name = "parameter_170" + original_name = "batch_norm2d_70.w_2" shape = [256] dtype = "float32" min_val = float("0.285191") @@ -1881,6 +2052,7 @@ class Program_weight_tensor_parameter_170: class Program_weight_tensor_parameter_171: name = "parameter_171" + original_name = "batch_norm2d_70.w_1" shape = [256] dtype = "float32" min_val = float("-1.51767") @@ -1892,6 +2064,7 @@ class Program_weight_tensor_parameter_171: class Program_weight_tensor_parameter_172: name = "parameter_172" + original_name = "conv2d_74.w_0" shape = [256, 384, 1, 1] dtype = "float32" min_val = float("-0.371177") @@ -1903,6 +2076,7 @@ class Program_weight_tensor_parameter_172: class Program_weight_tensor_parameter_173: name = "parameter_173" + original_name = "batch_norm2d_72.b_0" shape = [384] dtype = "float32" min_val = float("-1.97915") @@ -1914,6 +2088,7 @@ class Program_weight_tensor_parameter_173: class Program_weight_tensor_parameter_174: name = "parameter_174" + original_name = "batch_norm2d_72.w_0" shape = [384] dtype = "float32" min_val = float("-1.82417") @@ -1925,6 +2100,7 @@ class Program_weight_tensor_parameter_174: class Program_weight_tensor_parameter_175: name = "parameter_175" + original_name = "batch_norm2d_72.w_2" shape = [384] dtype = "float32" min_val = float("0.00602588") @@ -1936,6 +2112,7 @@ class Program_weight_tensor_parameter_175: class Program_weight_tensor_parameter_176: name = "parameter_176" + original_name = "batch_norm2d_72.w_1" shape = [384] dtype = "float32" min_val = float("-0.760312") @@ -1947,6 +2124,7 @@ class Program_weight_tensor_parameter_176: class Program_weight_tensor_parameter_177: name = "parameter_177" + original_name = "conv2d_76.w_0" shape = [384, 384, 1, 1] dtype = "float32" min_val = float("-0.289905") @@ -1958,6 +2136,7 @@ class Program_weight_tensor_parameter_177: class Program_weight_tensor_parameter_178: name = "parameter_178" + original_name = "batch_norm2d_71.b_0" shape = [384] dtype = "float32" min_val = float("-1.97923") @@ -1969,6 +2148,7 @@ class Program_weight_tensor_parameter_178: class Program_weight_tensor_parameter_179: name = "parameter_179" + original_name = "batch_norm2d_71.w_0" shape = [384] dtype = "float32" min_val = float("-1.75191") @@ -1980,6 +2160,7 @@ class Program_weight_tensor_parameter_179: class Program_weight_tensor_parameter_180: name = "parameter_180" + original_name = "batch_norm2d_71.w_2" shape = [384] dtype = "float32" min_val = float("0.00838632") @@ -1991,6 +2172,7 @@ class Program_weight_tensor_parameter_180: class Program_weight_tensor_parameter_181: name = "parameter_181" + original_name = "batch_norm2d_71.w_1" shape = [384] dtype = "float32" min_val = float("-0.439733") @@ -2002,6 +2184,7 @@ class Program_weight_tensor_parameter_181: class Program_weight_tensor_parameter_182: name = "parameter_182" + original_name = "conv2d_75.w_0" shape = [384, 384, 1, 1] dtype = "float32" min_val = float("-0.186748") @@ -2013,6 +2196,7 @@ class Program_weight_tensor_parameter_182: class Program_weight_tensor_parameter_183: name = "parameter_183" + original_name = "batch_norm2d_74.b_0" shape = [256] dtype = "float32" min_val = float("-8.92138") @@ -2024,6 +2208,7 @@ class Program_weight_tensor_parameter_183: class Program_weight_tensor_parameter_184: name = "parameter_184" + original_name = "batch_norm2d_74.w_0" shape = [256] dtype = "float32" min_val = float("0.807772") @@ -2035,6 +2220,7 @@ class Program_weight_tensor_parameter_184: class Program_weight_tensor_parameter_185: name = "parameter_185" + original_name = "batch_norm2d_74.w_2" shape = [256] dtype = "float32" min_val = float("0.200753") @@ -2046,6 +2232,7 @@ class Program_weight_tensor_parameter_185: class Program_weight_tensor_parameter_186: name = "parameter_186" + original_name = "batch_norm2d_74.w_1" shape = [256] dtype = "float32" min_val = float("-2.83207") @@ -2057,6 +2244,7 @@ class Program_weight_tensor_parameter_186: class Program_weight_tensor_parameter_187: name = "parameter_187" + original_name = "conv2d_78.w_0" shape = [256, 768, 1, 1] dtype = "float32" min_val = float("-0.473647") @@ -2068,6 +2256,7 @@ class Program_weight_tensor_parameter_187: class Program_weight_tensor_parameter_188: name = "parameter_188" + original_name = "batch_norm2d_73.b_0" shape = [768] dtype = "float32" min_val = float("-3.88252") @@ -2079,6 +2268,7 @@ class Program_weight_tensor_parameter_188: class Program_weight_tensor_parameter_189: name = "parameter_189" + original_name = "batch_norm2d_73.w_0" shape = [768] dtype = "float32" min_val = float("0.61965") @@ -2090,6 +2280,7 @@ class Program_weight_tensor_parameter_189: class Program_weight_tensor_parameter_190: name = "parameter_190" + original_name = "batch_norm2d_73.w_2" shape = [768] dtype = "float32" min_val = float("0.000454662") @@ -2101,6 +2292,7 @@ class Program_weight_tensor_parameter_190: class Program_weight_tensor_parameter_191: name = "parameter_191" + original_name = "batch_norm2d_73.w_1" shape = [768] dtype = "float32" min_val = float("-0.78607") @@ -2112,6 +2304,7 @@ class Program_weight_tensor_parameter_191: class Program_weight_tensor_parameter_192: name = "parameter_192" + original_name = "conv2d_77.w_0" shape = [768, 1, 3, 3] dtype = "float32" min_val = float("-0.318483") @@ -2123,6 +2316,7 @@ class Program_weight_tensor_parameter_192: class Program_weight_tensor_parameter_193: name = "parameter_193" + original_name = "batch_norm2d_69.b_0" shape = [384] dtype = "float32" min_val = float("-2.81936") @@ -2134,6 +2328,7 @@ class Program_weight_tensor_parameter_193: class Program_weight_tensor_parameter_194: name = "parameter_194" + original_name = "batch_norm2d_69.w_0" shape = [384] dtype = "float32" min_val = float("0.44987") @@ -2145,6 +2340,7 @@ class Program_weight_tensor_parameter_194: class Program_weight_tensor_parameter_195: name = "parameter_195" + original_name = "batch_norm2d_69.w_2" shape = [384] dtype = "float32" min_val = float("0.775629") @@ -2156,6 +2352,7 @@ class Program_weight_tensor_parameter_195: class Program_weight_tensor_parameter_196: name = "parameter_196" + original_name = "batch_norm2d_69.w_1" shape = [384] dtype = "float32" min_val = float("-0.827122") @@ -2167,6 +2364,7 @@ class Program_weight_tensor_parameter_196: class Program_weight_tensor_parameter_197: name = "parameter_197" + original_name = "conv2d_73.w_0" shape = [384, 256, 1, 1] dtype = "float32" min_val = float("-0.415568") @@ -2178,6 +2376,7 @@ class Program_weight_tensor_parameter_197: class Program_weight_tensor_parameter_198: name = "parameter_198" + original_name = "batch_norm2d_68.b_0" shape = [192] dtype = "float32" min_val = float("-1.36632") @@ -2189,6 +2388,7 @@ class Program_weight_tensor_parameter_198: class Program_weight_tensor_parameter_199: name = "parameter_199" + original_name = "batch_norm2d_68.w_0" shape = [192] dtype = "float32" min_val = float("-0.146318") @@ -2200,6 +2400,7 @@ class Program_weight_tensor_parameter_199: class Program_weight_tensor_parameter_200: name = "parameter_200" + original_name = "batch_norm2d_68.w_2" shape = [192] dtype = "float32" min_val = float("0.52274") @@ -2211,6 +2412,7 @@ class Program_weight_tensor_parameter_200: class Program_weight_tensor_parameter_201: name = "parameter_201" + original_name = "batch_norm2d_68.w_1" shape = [192] dtype = "float32" min_val = float("-1.032") @@ -2222,6 +2424,7 @@ class Program_weight_tensor_parameter_201: class Program_weight_tensor_parameter_202: name = "parameter_202" + original_name = "conv2d_72.w_0" shape = [192, 256, 1, 1] dtype = "float32" min_val = float("-0.325781") @@ -2233,6 +2436,7 @@ class Program_weight_tensor_parameter_202: class Program_weight_tensor_parameter_203: name = "parameter_203" + original_name = "batch_norm2d_67.b_0" shape = [192] dtype = "float32" min_val = float("-3.71713") @@ -2244,6 +2448,7 @@ class Program_weight_tensor_parameter_203: class Program_weight_tensor_parameter_204: name = "parameter_204" + original_name = "batch_norm2d_67.w_0" shape = [192] dtype = "float32" min_val = float("0.153002") @@ -2255,6 +2460,7 @@ class Program_weight_tensor_parameter_204: class Program_weight_tensor_parameter_205: name = "parameter_205" + original_name = "batch_norm2d_67.w_2" shape = [192] dtype = "float32" min_val = float("0.524006") @@ -2266,6 +2472,7 @@ class Program_weight_tensor_parameter_205: class Program_weight_tensor_parameter_206: name = "parameter_206" + original_name = "batch_norm2d_67.w_1" shape = [192] dtype = "float32" min_val = float("-0.523299") @@ -2277,6 +2484,7 @@ class Program_weight_tensor_parameter_206: class Program_weight_tensor_parameter_207: name = "parameter_207" + original_name = "conv2d_71.w_0" shape = [192, 256, 1, 1] dtype = "float32" min_val = float("-0.205408") @@ -2288,6 +2496,7 @@ class Program_weight_tensor_parameter_207: class Program_weight_tensor_parameter_208: name = "parameter_208" + original_name = "batch_norm2d_26.b_0" shape = [256] dtype = "float32" min_val = float("-1.63107") @@ -2299,6 +2508,7 @@ class Program_weight_tensor_parameter_208: class Program_weight_tensor_parameter_209: name = "parameter_209" + original_name = "batch_norm2d_26.w_0" shape = [256] dtype = "float32" min_val = float("0.932252") @@ -2310,6 +2520,7 @@ class Program_weight_tensor_parameter_209: class Program_weight_tensor_parameter_210: name = "parameter_210" + original_name = "batch_norm2d_26.w_2" shape = [256] dtype = "float32" min_val = float("3.02829") @@ -2321,6 +2532,7 @@ class Program_weight_tensor_parameter_210: class Program_weight_tensor_parameter_211: name = "parameter_211" + original_name = "batch_norm2d_26.w_1" shape = [256] dtype = "float32" min_val = float("-14.1805") @@ -2332,6 +2544,7 @@ class Program_weight_tensor_parameter_211: class Program_weight_tensor_parameter_212: name = "parameter_212" + original_name = "conv2d_26.w_0" shape = [256, 1152, 1, 1] dtype = "float32" min_val = float("-0.755045") @@ -2343,6 +2556,7 @@ class Program_weight_tensor_parameter_212: class Program_weight_tensor_parameter_213: name = "parameter_213" + original_name = "batch_norm2d_25.b_0" shape = [1152] dtype = "float32" min_val = float("-4.4475") @@ -2354,6 +2568,7 @@ class Program_weight_tensor_parameter_213: class Program_weight_tensor_parameter_214: name = "parameter_214" + original_name = "batch_norm2d_25.w_0" shape = [1152] dtype = "float32" min_val = float("0.953929") @@ -2365,6 +2580,7 @@ class Program_weight_tensor_parameter_214: class Program_weight_tensor_parameter_215: name = "parameter_215" + original_name = "batch_norm2d_25.w_2" shape = [1152] dtype = "float32" min_val = float("5.60519e-45") @@ -2376,6 +2592,7 @@ class Program_weight_tensor_parameter_215: class Program_weight_tensor_parameter_216: name = "parameter_216" + original_name = "batch_norm2d_25.w_1" shape = [1152] dtype = "float32" min_val = float("-2.31309") @@ -2387,6 +2604,7 @@ class Program_weight_tensor_parameter_216: class Program_weight_tensor_parameter_217: name = "parameter_217" + original_name = "conv2d_25.w_0" shape = [1152, 1, 3, 3] dtype = "float32" min_val = float("-0.405182") @@ -2398,6 +2616,7 @@ class Program_weight_tensor_parameter_217: class Program_weight_tensor_parameter_218: name = "parameter_218" + original_name = "batch_norm2d_24.b_0" shape = [1152] dtype = "float32" min_val = float("-3.66278") @@ -2409,6 +2628,7 @@ class Program_weight_tensor_parameter_218: class Program_weight_tensor_parameter_219: name = "parameter_219" + original_name = "batch_norm2d_24.w_0" shape = [1152] dtype = "float32" min_val = float("-1.46538") @@ -2420,6 +2640,7 @@ class Program_weight_tensor_parameter_219: class Program_weight_tensor_parameter_220: name = "parameter_220" + original_name = "batch_norm2d_24.w_2" shape = [1152] dtype = "float32" min_val = float("5.60519e-45") @@ -2431,6 +2652,7 @@ class Program_weight_tensor_parameter_220: class Program_weight_tensor_parameter_221: name = "parameter_221" + original_name = "batch_norm2d_24.w_1" shape = [1152] dtype = "float32" min_val = float("-6.28025") @@ -2442,6 +2664,7 @@ class Program_weight_tensor_parameter_221: class Program_weight_tensor_parameter_222: name = "parameter_222" + original_name = "conv2d_24.w_0" shape = [1152, 192, 1, 1] dtype = "float32" min_val = float("-0.580588") @@ -2453,6 +2676,7 @@ class Program_weight_tensor_parameter_222: class Program_weight_tensor_parameter_223: name = "parameter_223" + original_name = "batch_norm2d_66.b_0" shape = [192] dtype = "float32" min_val = float("-0.689238") @@ -2464,6 +2688,7 @@ class Program_weight_tensor_parameter_223: class Program_weight_tensor_parameter_224: name = "parameter_224" + original_name = "batch_norm2d_66.w_0" shape = [192] dtype = "float32" min_val = float("-0.362266") @@ -2475,6 +2700,7 @@ class Program_weight_tensor_parameter_224: class Program_weight_tensor_parameter_225: name = "parameter_225" + original_name = "batch_norm2d_66.w_2" shape = [192] dtype = "float32" min_val = float("0.00273522") @@ -2486,6 +2712,7 @@ class Program_weight_tensor_parameter_225: class Program_weight_tensor_parameter_226: name = "parameter_226" + original_name = "batch_norm2d_66.w_1" shape = [192] dtype = "float32" min_val = float("-0.262434") @@ -2497,6 +2724,7 @@ class Program_weight_tensor_parameter_226: class Program_weight_tensor_parameter_227: name = "parameter_227" + original_name = "conv2d_70.w_0" shape = [192, 384, 1, 1] dtype = "float32" min_val = float("-1.11141") @@ -2508,6 +2736,7 @@ class Program_weight_tensor_parameter_227: class Program_weight_tensor_parameter_228: name = "parameter_228" + original_name = "conv2d_69.b_0" shape = [384] dtype = "float32" min_val = float("-1.7425") @@ -2519,6 +2748,7 @@ class Program_weight_tensor_parameter_228: class Program_weight_tensor_parameter_229: name = "parameter_229" + original_name = "conv2d_69.w_0" shape = [384, 1, 3, 3] dtype = "float32" min_val = float("-0.451567") @@ -2530,6 +2760,7 @@ class Program_weight_tensor_parameter_229: class Program_weight_tensor_parameter_230: name = "parameter_230" + original_name = "batch_norm2d_65.b_0" shape = [384] dtype = "float32" min_val = float("-4.53214") @@ -2541,6 +2772,7 @@ class Program_weight_tensor_parameter_230: class Program_weight_tensor_parameter_231: name = "parameter_231" + original_name = "batch_norm2d_65.w_0" shape = [384] dtype = "float32" min_val = float("0.465838") @@ -2552,6 +2784,7 @@ class Program_weight_tensor_parameter_231: class Program_weight_tensor_parameter_232: name = "parameter_232" + original_name = "batch_norm2d_65.w_2" shape = [384] dtype = "float32" min_val = float("2.02185") @@ -2563,6 +2796,7 @@ class Program_weight_tensor_parameter_232: class Program_weight_tensor_parameter_233: name = "parameter_233" + original_name = "batch_norm2d_65.w_1" shape = [384] dtype = "float32" min_val = float("-5.39453") @@ -2574,6 +2808,7 @@ class Program_weight_tensor_parameter_233: class Program_weight_tensor_parameter_234: name = "parameter_234" + original_name = "conv2d_68.w_0" shape = [384, 192, 1, 1] dtype = "float32" min_val = float("-0.376148") @@ -2585,6 +2820,7 @@ class Program_weight_tensor_parameter_234: class Program_weight_tensor_parameter_235: name = "parameter_235" + original_name = "batch_norm2d_60.b_0" shape = [192] dtype = "float32" min_val = float("-3.55123") @@ -2596,6 +2832,7 @@ class Program_weight_tensor_parameter_235: class Program_weight_tensor_parameter_236: name = "parameter_236" + original_name = "batch_norm2d_60.w_0" shape = [192] dtype = "float32" min_val = float("-2.77147") @@ -2607,6 +2844,7 @@ class Program_weight_tensor_parameter_236: class Program_weight_tensor_parameter_237: name = "parameter_237" + original_name = "batch_norm2d_60.w_2" shape = [192] dtype = "float32" min_val = float("0.0571532") @@ -2618,6 +2856,7 @@ class Program_weight_tensor_parameter_237: class Program_weight_tensor_parameter_238: name = "parameter_238" + original_name = "batch_norm2d_60.w_1" shape = [192] dtype = "float32" min_val = float("-0.493985") @@ -2629,6 +2868,7 @@ class Program_weight_tensor_parameter_238: class Program_weight_tensor_parameter_239: name = "parameter_239" + original_name = "conv2d_63.w_0" shape = [192, 256, 1, 1] dtype = "float32" min_val = float("-0.355859") @@ -2640,6 +2880,7 @@ class Program_weight_tensor_parameter_239: class Program_weight_tensor_parameter_240: name = "parameter_240" + original_name = "batch_norm2d_62.b_0" shape = [256] dtype = "float32" min_val = float("-2.47692") @@ -2651,6 +2892,7 @@ class Program_weight_tensor_parameter_240: class Program_weight_tensor_parameter_241: name = "parameter_241" + original_name = "batch_norm2d_62.w_0" shape = [256] dtype = "float32" min_val = float("-1.28749") @@ -2662,6 +2904,7 @@ class Program_weight_tensor_parameter_241: class Program_weight_tensor_parameter_242: name = "parameter_242" + original_name = "batch_norm2d_62.w_2" shape = [256] dtype = "float32" min_val = float("0.00351684") @@ -2673,6 +2916,7 @@ class Program_weight_tensor_parameter_242: class Program_weight_tensor_parameter_243: name = "parameter_243" + original_name = "batch_norm2d_62.w_1" shape = [256] dtype = "float32" min_val = float("-0.945651") @@ -2684,6 +2928,7 @@ class Program_weight_tensor_parameter_243: class Program_weight_tensor_parameter_244: name = "parameter_244" + original_name = "conv2d_65.w_0" shape = [256, 256, 1, 1] dtype = "float32" min_val = float("-0.308585") @@ -2695,6 +2940,7 @@ class Program_weight_tensor_parameter_244: class Program_weight_tensor_parameter_245: name = "parameter_245" + original_name = "batch_norm2d_61.b_0" shape = [256] dtype = "float32" min_val = float("-2.47714") @@ -2706,6 +2952,7 @@ class Program_weight_tensor_parameter_245: class Program_weight_tensor_parameter_246: name = "parameter_246" + original_name = "batch_norm2d_61.w_0" shape = [256] dtype = "float32" min_val = float("-1.43903") @@ -2717,6 +2964,7 @@ class Program_weight_tensor_parameter_246: class Program_weight_tensor_parameter_247: name = "parameter_247" + original_name = "batch_norm2d_61.w_2" shape = [256] dtype = "float32" min_val = float("0.0029389") @@ -2728,6 +2976,7 @@ class Program_weight_tensor_parameter_247: class Program_weight_tensor_parameter_248: name = "parameter_248" + original_name = "batch_norm2d_61.w_1" shape = [256] dtype = "float32" min_val = float("-0.689036") @@ -2739,6 +2988,7 @@ class Program_weight_tensor_parameter_248: class Program_weight_tensor_parameter_249: name = "parameter_249" + original_name = "conv2d_64.w_0" shape = [256, 256, 1, 1] dtype = "float32" min_val = float("-0.292373") @@ -2750,6 +3000,7 @@ class Program_weight_tensor_parameter_249: class Program_weight_tensor_parameter_250: name = "parameter_250" + original_name = "batch_norm2d_64.b_0" shape = [192] dtype = "float32" min_val = float("-6.35526") @@ -2761,6 +3012,7 @@ class Program_weight_tensor_parameter_250: class Program_weight_tensor_parameter_251: name = "parameter_251" + original_name = "batch_norm2d_64.w_0" shape = [192] dtype = "float32" min_val = float("0.880008") @@ -2772,6 +3024,7 @@ class Program_weight_tensor_parameter_251: class Program_weight_tensor_parameter_252: name = "parameter_252" + original_name = "batch_norm2d_64.w_2" shape = [192] dtype = "float32" min_val = float("0.0623435") @@ -2783,6 +3036,7 @@ class Program_weight_tensor_parameter_252: class Program_weight_tensor_parameter_253: name = "parameter_253" + original_name = "batch_norm2d_64.w_1" shape = [192] dtype = "float32" min_val = float("-0.638282") @@ -2794,6 +3048,7 @@ class Program_weight_tensor_parameter_253: class Program_weight_tensor_parameter_254: name = "parameter_254" + original_name = "conv2d_67.w_0" shape = [192, 512, 1, 1] dtype = "float32" min_val = float("-0.346639") @@ -2805,6 +3060,7 @@ class Program_weight_tensor_parameter_254: class Program_weight_tensor_parameter_255: name = "parameter_255" + original_name = "batch_norm2d_63.b_0" shape = [512] dtype = "float32" min_val = float("-3.50492") @@ -2816,6 +3072,7 @@ class Program_weight_tensor_parameter_255: class Program_weight_tensor_parameter_256: name = "parameter_256" + original_name = "batch_norm2d_63.w_0" shape = [512] dtype = "float32" min_val = float("0.331937") @@ -2827,6 +3084,7 @@ class Program_weight_tensor_parameter_256: class Program_weight_tensor_parameter_257: name = "parameter_257" + original_name = "batch_norm2d_63.w_2" shape = [512] dtype = "float32" min_val = float("0.0026259") @@ -2838,6 +3096,7 @@ class Program_weight_tensor_parameter_257: class Program_weight_tensor_parameter_258: name = "parameter_258" + original_name = "batch_norm2d_63.w_1" shape = [512] dtype = "float32" min_val = float("-1.3137") @@ -2849,6 +3108,7 @@ class Program_weight_tensor_parameter_258: class Program_weight_tensor_parameter_259: name = "parameter_259" + original_name = "conv2d_66.w_0" shape = [512, 1, 3, 3] dtype = "float32" min_val = float("-0.343786") @@ -2860,6 +3120,7 @@ class Program_weight_tensor_parameter_259: class Program_weight_tensor_parameter_260: name = "parameter_260" + original_name = "batch_norm2d_59.b_0" shape = [256] dtype = "float32" min_val = float("-2.33199") @@ -2871,6 +3132,7 @@ class Program_weight_tensor_parameter_260: class Program_weight_tensor_parameter_261: name = "parameter_261" + original_name = "batch_norm2d_59.w_0" shape = [256] dtype = "float32" min_val = float("0.347636") @@ -2882,6 +3144,7 @@ class Program_weight_tensor_parameter_261: class Program_weight_tensor_parameter_262: name = "parameter_262" + original_name = "batch_norm2d_59.w_2" shape = [256] dtype = "float32" min_val = float("2.39514") @@ -2893,6 +3156,7 @@ class Program_weight_tensor_parameter_262: class Program_weight_tensor_parameter_263: name = "parameter_263" + original_name = "batch_norm2d_59.w_1" shape = [256] dtype = "float32" min_val = float("-7.71835") @@ -2904,6 +3168,7 @@ class Program_weight_tensor_parameter_263: class Program_weight_tensor_parameter_264: name = "parameter_264" + original_name = "conv2d_62.w_0" shape = [256, 192, 1, 1] dtype = "float32" min_val = float("-0.471923") @@ -2915,6 +3180,7 @@ class Program_weight_tensor_parameter_264: class Program_weight_tensor_parameter_265: name = "parameter_265" + original_name = "batch_norm2d_58.b_0" shape = [128] dtype = "float32" min_val = float("-1.37125") @@ -2926,6 +3192,7 @@ class Program_weight_tensor_parameter_265: class Program_weight_tensor_parameter_266: name = "parameter_266" + original_name = "batch_norm2d_58.w_0" shape = [128] dtype = "float32" min_val = float("0.209069") @@ -2937,6 +3204,7 @@ class Program_weight_tensor_parameter_266: class Program_weight_tensor_parameter_267: name = "parameter_267" + original_name = "batch_norm2d_58.w_2" shape = [128] dtype = "float32" min_val = float("1.89321") @@ -2948,6 +3216,7 @@ class Program_weight_tensor_parameter_267: class Program_weight_tensor_parameter_268: name = "parameter_268" + original_name = "batch_norm2d_58.w_1" shape = [128] dtype = "float32" min_val = float("-5.97045") @@ -2959,6 +3228,7 @@ class Program_weight_tensor_parameter_268: class Program_weight_tensor_parameter_269: name = "parameter_269" + original_name = "conv2d_61.w_0" shape = [128, 192, 1, 1] dtype = "float32" min_val = float("-0.265117") @@ -2970,6 +3240,7 @@ class Program_weight_tensor_parameter_269: class Program_weight_tensor_parameter_270: name = "parameter_270" + original_name = "batch_norm2d_57.b_0" shape = [128] dtype = "float32" min_val = float("-2.51829") @@ -2981,6 +3252,7 @@ class Program_weight_tensor_parameter_270: class Program_weight_tensor_parameter_271: name = "parameter_271" + original_name = "batch_norm2d_57.w_0" shape = [128] dtype = "float32" min_val = float("0.199457") @@ -2992,6 +3264,7 @@ class Program_weight_tensor_parameter_271: class Program_weight_tensor_parameter_272: name = "parameter_272" + original_name = "batch_norm2d_57.w_2" shape = [128] dtype = "float32" min_val = float("1.21972") @@ -3003,6 +3276,7 @@ class Program_weight_tensor_parameter_272: class Program_weight_tensor_parameter_273: name = "parameter_273" + original_name = "batch_norm2d_57.w_1" shape = [128] dtype = "float32" min_val = float("-2.60586") @@ -3014,6 +3288,7 @@ class Program_weight_tensor_parameter_273: class Program_weight_tensor_parameter_274: name = "parameter_274" + original_name = "conv2d_60.w_0" shape = [128, 192, 1, 1] dtype = "float32" min_val = float("-0.280463") @@ -3025,6 +3300,7 @@ class Program_weight_tensor_parameter_274: class Program_weight_tensor_parameter_275: name = "parameter_275" + original_name = "batch_norm2d_56.b_0" shape = [192] dtype = "float32" min_val = float("-0.687833") @@ -3036,6 +3312,7 @@ class Program_weight_tensor_parameter_275: class Program_weight_tensor_parameter_276: name = "parameter_276" + original_name = "batch_norm2d_56.w_0" shape = [192] dtype = "float32" min_val = float("-0.302089") @@ -3047,6 +3324,7 @@ class Program_weight_tensor_parameter_276: class Program_weight_tensor_parameter_277: name = "parameter_277" + original_name = "batch_norm2d_56.w_2" shape = [192] dtype = "float32" min_val = float("0.00299265") @@ -3058,6 +3336,7 @@ class Program_weight_tensor_parameter_277: class Program_weight_tensor_parameter_278: name = "parameter_278" + original_name = "batch_norm2d_56.w_1" shape = [192] dtype = "float32" min_val = float("-0.299724") @@ -3069,6 +3348,7 @@ class Program_weight_tensor_parameter_278: class Program_weight_tensor_parameter_279: name = "parameter_279" + original_name = "conv2d_59.w_0" shape = [192, 384, 1, 1] dtype = "float32" min_val = float("-0.39026") @@ -3080,6 +3360,7 @@ class Program_weight_tensor_parameter_279: class Program_weight_tensor_parameter_280: name = "parameter_280" + original_name = "conv2d_58.b_0" shape = [384] dtype = "float32" min_val = float("-2.33871") @@ -3091,6 +3372,7 @@ class Program_weight_tensor_parameter_280: class Program_weight_tensor_parameter_281: name = "parameter_281" + original_name = "conv2d_58.w_0" shape = [384, 1, 3, 3] dtype = "float32" min_val = float("-0.456093") @@ -3102,6 +3384,7 @@ class Program_weight_tensor_parameter_281: class Program_weight_tensor_parameter_282: name = "parameter_282" + original_name = "batch_norm2d_55.b_0" shape = [384] dtype = "float32" min_val = float("-4.02938") @@ -3113,6 +3396,7 @@ class Program_weight_tensor_parameter_282: class Program_weight_tensor_parameter_283: name = "parameter_283" + original_name = "batch_norm2d_55.w_0" shape = [384] dtype = "float32" min_val = float("0.448078") @@ -3124,6 +3408,7 @@ class Program_weight_tensor_parameter_283: class Program_weight_tensor_parameter_284: name = "parameter_284" + original_name = "batch_norm2d_55.w_2" shape = [384] dtype = "float32" min_val = float("1.83244") @@ -3135,6 +3420,7 @@ class Program_weight_tensor_parameter_284: class Program_weight_tensor_parameter_285: name = "parameter_285" + original_name = "batch_norm2d_55.w_1" shape = [384] dtype = "float32" min_val = float("-5.38765") @@ -3146,6 +3432,7 @@ class Program_weight_tensor_parameter_285: class Program_weight_tensor_parameter_286: name = "parameter_286" + original_name = "conv2d_57.w_0" shape = [384, 192, 1, 1] dtype = "float32" min_val = float("-0.477494") @@ -3157,6 +3444,7 @@ class Program_weight_tensor_parameter_286: class Program_weight_tensor_parameter_287: name = "parameter_287" + original_name = "batch_norm2d_50.b_0" shape = [192] dtype = "float32" min_val = float("-3.22916") @@ -3168,6 +3456,7 @@ class Program_weight_tensor_parameter_287: class Program_weight_tensor_parameter_288: name = "parameter_288" + original_name = "batch_norm2d_50.w_0" shape = [192] dtype = "float32" min_val = float("-2.96211") @@ -3179,6 +3468,7 @@ class Program_weight_tensor_parameter_288: class Program_weight_tensor_parameter_289: name = "parameter_289" + original_name = "batch_norm2d_50.w_2" shape = [192] dtype = "float32" min_val = float("0.0871505") @@ -3190,6 +3480,7 @@ class Program_weight_tensor_parameter_289: class Program_weight_tensor_parameter_290: name = "parameter_290" + original_name = "batch_norm2d_50.w_1" shape = [192] dtype = "float32" min_val = float("-0.775717") @@ -3201,6 +3492,7 @@ class Program_weight_tensor_parameter_290: class Program_weight_tensor_parameter_291: name = "parameter_291" + original_name = "conv2d_52.w_0" shape = [192, 256, 1, 1] dtype = "float32" min_val = float("-0.401393") @@ -3212,6 +3504,7 @@ class Program_weight_tensor_parameter_291: class Program_weight_tensor_parameter_292: name = "parameter_292" + original_name = "batch_norm2d_52.b_0" shape = [256] dtype = "float32" min_val = float("-2.08855") @@ -3223,6 +3516,7 @@ class Program_weight_tensor_parameter_292: class Program_weight_tensor_parameter_293: name = "parameter_293" + original_name = "batch_norm2d_52.w_0" shape = [256] dtype = "float32" min_val = float("-1.21394") @@ -3234,6 +3528,7 @@ class Program_weight_tensor_parameter_293: class Program_weight_tensor_parameter_294: name = "parameter_294" + original_name = "batch_norm2d_52.w_2" shape = [256] dtype = "float32" min_val = float("0.00777059") @@ -3245,6 +3540,7 @@ class Program_weight_tensor_parameter_294: class Program_weight_tensor_parameter_295: name = "parameter_295" + original_name = "batch_norm2d_52.w_1" shape = [256] dtype = "float32" min_val = float("-0.627073") @@ -3256,6 +3552,7 @@ class Program_weight_tensor_parameter_295: class Program_weight_tensor_parameter_296: name = "parameter_296" + original_name = "conv2d_54.w_0" shape = [256, 256, 1, 1] dtype = "float32" min_val = float("-0.359497") @@ -3267,6 +3564,7 @@ class Program_weight_tensor_parameter_296: class Program_weight_tensor_parameter_297: name = "parameter_297" + original_name = "batch_norm2d_51.b_0" shape = [256] dtype = "float32" min_val = float("-2.08853") @@ -3278,6 +3576,7 @@ class Program_weight_tensor_parameter_297: class Program_weight_tensor_parameter_298: name = "parameter_298" + original_name = "batch_norm2d_51.w_0" shape = [256] dtype = "float32" min_val = float("-1.18768") @@ -3289,6 +3588,7 @@ class Program_weight_tensor_parameter_298: class Program_weight_tensor_parameter_299: name = "parameter_299" + original_name = "batch_norm2d_51.w_2" shape = [256] dtype = "float32" min_val = float("0.0043245") @@ -3300,6 +3600,7 @@ class Program_weight_tensor_parameter_299: class Program_weight_tensor_parameter_300: name = "parameter_300" + original_name = "batch_norm2d_51.w_1" shape = [256] dtype = "float32" min_val = float("-0.509205") @@ -3311,6 +3612,7 @@ class Program_weight_tensor_parameter_300: class Program_weight_tensor_parameter_301: name = "parameter_301" + original_name = "conv2d_53.w_0" shape = [256, 256, 1, 1] dtype = "float32" min_val = float("-0.310715") @@ -3322,6 +3624,7 @@ class Program_weight_tensor_parameter_301: class Program_weight_tensor_parameter_302: name = "parameter_302" + original_name = "batch_norm2d_54.b_0" shape = [192] dtype = "float32" min_val = float("-9.5792") @@ -3333,6 +3636,7 @@ class Program_weight_tensor_parameter_302: class Program_weight_tensor_parameter_303: name = "parameter_303" + original_name = "batch_norm2d_54.w_0" shape = [192] dtype = "float32" min_val = float("0.754398") @@ -3344,6 +3648,7 @@ class Program_weight_tensor_parameter_303: class Program_weight_tensor_parameter_304: name = "parameter_304" + original_name = "batch_norm2d_54.w_2" shape = [192] dtype = "float32" min_val = float("0.0814359") @@ -3355,6 +3660,7 @@ class Program_weight_tensor_parameter_304: class Program_weight_tensor_parameter_305: name = "parameter_305" + original_name = "batch_norm2d_54.w_1" shape = [192] dtype = "float32" min_val = float("-0.685855") @@ -3366,6 +3672,7 @@ class Program_weight_tensor_parameter_305: class Program_weight_tensor_parameter_306: name = "parameter_306" + original_name = "conv2d_56.w_0" shape = [192, 512, 1, 1] dtype = "float32" min_val = float("-0.375274") @@ -3377,6 +3684,7 @@ class Program_weight_tensor_parameter_306: class Program_weight_tensor_parameter_307: name = "parameter_307" + original_name = "batch_norm2d_53.b_0" shape = [512] dtype = "float32" min_val = float("-4.07368") @@ -3388,6 +3696,7 @@ class Program_weight_tensor_parameter_307: class Program_weight_tensor_parameter_308: name = "parameter_308" + original_name = "batch_norm2d_53.w_0" shape = [512] dtype = "float32" min_val = float("0.509429") @@ -3399,6 +3708,7 @@ class Program_weight_tensor_parameter_308: class Program_weight_tensor_parameter_309: name = "parameter_309" + original_name = "batch_norm2d_53.w_2" shape = [512] dtype = "float32" min_val = float("0.000132068") @@ -3410,6 +3720,7 @@ class Program_weight_tensor_parameter_309: class Program_weight_tensor_parameter_310: name = "parameter_310" + original_name = "batch_norm2d_53.w_1" shape = [512] dtype = "float32" min_val = float("-1.14546") @@ -3421,6 +3732,7 @@ class Program_weight_tensor_parameter_310: class Program_weight_tensor_parameter_311: name = "parameter_311" + original_name = "conv2d_55.w_0" shape = [512, 1, 3, 3] dtype = "float32" min_val = float("-0.388427") @@ -3432,6 +3744,7 @@ class Program_weight_tensor_parameter_311: class Program_weight_tensor_parameter_312: name = "parameter_312" + original_name = "batch_norm2d_49.b_0" shape = [256] dtype = "float32" min_val = float("-1.73399") @@ -3443,6 +3756,7 @@ class Program_weight_tensor_parameter_312: class Program_weight_tensor_parameter_313: name = "parameter_313" + original_name = "batch_norm2d_49.w_0" shape = [256] dtype = "float32" min_val = float("0.0454827") @@ -3454,6 +3768,7 @@ class Program_weight_tensor_parameter_313: class Program_weight_tensor_parameter_314: name = "parameter_314" + original_name = "batch_norm2d_49.w_2" shape = [256] dtype = "float32" min_val = float("2.39051") @@ -3465,6 +3780,7 @@ class Program_weight_tensor_parameter_314: class Program_weight_tensor_parameter_315: name = "parameter_315" + original_name = "batch_norm2d_49.w_1" shape = [256] dtype = "float32" min_val = float("-5.7469") @@ -3476,6 +3792,7 @@ class Program_weight_tensor_parameter_315: class Program_weight_tensor_parameter_316: name = "parameter_316" + original_name = "conv2d_51.w_0" shape = [256, 192, 1, 1] dtype = "float32" min_val = float("-0.503478") @@ -3487,6 +3804,7 @@ class Program_weight_tensor_parameter_316: class Program_weight_tensor_parameter_317: name = "parameter_317" + original_name = "batch_norm2d_48.b_0" shape = [128] dtype = "float32" min_val = float("-0.903812") @@ -3498,6 +3816,7 @@ class Program_weight_tensor_parameter_317: class Program_weight_tensor_parameter_318: name = "parameter_318" + original_name = "batch_norm2d_48.w_0" shape = [128] dtype = "float32" min_val = float("0.177051") @@ -3509,6 +3828,7 @@ class Program_weight_tensor_parameter_318: class Program_weight_tensor_parameter_319: name = "parameter_319" + original_name = "batch_norm2d_48.w_2" shape = [128] dtype = "float32" min_val = float("1.75765") @@ -3520,6 +3840,7 @@ class Program_weight_tensor_parameter_319: class Program_weight_tensor_parameter_320: name = "parameter_320" + original_name = "batch_norm2d_48.w_1" shape = [128] dtype = "float32" min_val = float("-4.07739") @@ -3531,6 +3852,7 @@ class Program_weight_tensor_parameter_320: class Program_weight_tensor_parameter_321: name = "parameter_321" + original_name = "conv2d_50.w_0" shape = [128, 192, 1, 1] dtype = "float32" min_val = float("-0.366464") @@ -3542,6 +3864,7 @@ class Program_weight_tensor_parameter_321: class Program_weight_tensor_parameter_322: name = "parameter_322" + original_name = "batch_norm2d_47.b_0" shape = [128] dtype = "float32" min_val = float("-1.77522") @@ -3553,6 +3876,7 @@ class Program_weight_tensor_parameter_322: class Program_weight_tensor_parameter_323: name = "parameter_323" + original_name = "batch_norm2d_47.w_0" shape = [128] dtype = "float32" min_val = float("0.364332") @@ -3564,6 +3888,7 @@ class Program_weight_tensor_parameter_323: class Program_weight_tensor_parameter_324: name = "parameter_324" + original_name = "batch_norm2d_47.w_2" shape = [128] dtype = "float32" min_val = float("1.61177") @@ -3575,6 +3900,7 @@ class Program_weight_tensor_parameter_324: class Program_weight_tensor_parameter_325: name = "parameter_325" + original_name = "batch_norm2d_47.w_1" shape = [128] dtype = "float32" min_val = float("-4.11512") @@ -3586,6 +3912,7 @@ class Program_weight_tensor_parameter_325: class Program_weight_tensor_parameter_326: name = "parameter_326" + original_name = "conv2d_49.w_0" shape = [128, 192, 1, 1] dtype = "float32" min_val = float("-0.333098") @@ -3597,6 +3924,7 @@ class Program_weight_tensor_parameter_326: class Program_weight_tensor_parameter_327: name = "parameter_327" + original_name = "batch_norm2d_46.b_0" shape = [192] dtype = "float32" min_val = float("-1.033") @@ -3608,6 +3936,7 @@ class Program_weight_tensor_parameter_327: class Program_weight_tensor_parameter_328: name = "parameter_328" + original_name = "batch_norm2d_46.w_0" shape = [192] dtype = "float32" min_val = float("0.172") @@ -3619,6 +3948,7 @@ class Program_weight_tensor_parameter_328: class Program_weight_tensor_parameter_329: name = "parameter_329" + original_name = "batch_norm2d_46.w_2" shape = [192] dtype = "float32" min_val = float("0.00499187") @@ -3630,6 +3960,7 @@ class Program_weight_tensor_parameter_329: class Program_weight_tensor_parameter_330: name = "parameter_330" + original_name = "batch_norm2d_46.w_1" shape = [192] dtype = "float32" min_val = float("-0.321193") @@ -3641,6 +3972,7 @@ class Program_weight_tensor_parameter_330: class Program_weight_tensor_parameter_331: name = "parameter_331" + original_name = "conv2d_48.w_0" shape = [192, 384, 1, 1] dtype = "float32" min_val = float("-0.36836") @@ -3652,6 +3984,7 @@ class Program_weight_tensor_parameter_331: class Program_weight_tensor_parameter_332: name = "parameter_332" + original_name = "conv2d_47.b_0" shape = [384] dtype = "float32" min_val = float("-4.00805") @@ -3663,6 +3996,7 @@ class Program_weight_tensor_parameter_332: class Program_weight_tensor_parameter_333: name = "parameter_333" + original_name = "conv2d_47.w_0" shape = [384, 1, 3, 3] dtype = "float32" min_val = float("-0.494967") @@ -3674,6 +4008,7 @@ class Program_weight_tensor_parameter_333: class Program_weight_tensor_parameter_334: name = "parameter_334" + original_name = "batch_norm2d_45.b_0" shape = [384] dtype = "float32" min_val = float("-4.86296") @@ -3685,6 +4020,7 @@ class Program_weight_tensor_parameter_334: class Program_weight_tensor_parameter_335: name = "parameter_335" + original_name = "batch_norm2d_45.w_0" shape = [384] dtype = "float32" min_val = float("0.509197") @@ -3696,6 +4032,7 @@ class Program_weight_tensor_parameter_335: class Program_weight_tensor_parameter_336: name = "parameter_336" + original_name = "batch_norm2d_45.w_2" shape = [384] dtype = "float32" min_val = float("1.95466") @@ -3707,6 +4044,7 @@ class Program_weight_tensor_parameter_336: class Program_weight_tensor_parameter_337: name = "parameter_337" + original_name = "batch_norm2d_45.w_1" shape = [384] dtype = "float32" min_val = float("-3.8136") @@ -3718,6 +4056,7 @@ class Program_weight_tensor_parameter_337: class Program_weight_tensor_parameter_338: name = "parameter_338" + original_name = "conv2d_46.w_0" shape = [384, 192, 1, 1] dtype = "float32" min_val = float("-0.574063") @@ -3729,6 +4068,7 @@ class Program_weight_tensor_parameter_338: class Program_weight_tensor_parameter_339: name = "parameter_339" + original_name = "batch_norm2d_40.b_0" shape = [192] dtype = "float32" min_val = float("-2.7387") @@ -3740,6 +4080,7 @@ class Program_weight_tensor_parameter_339: class Program_weight_tensor_parameter_340: name = "parameter_340" + original_name = "batch_norm2d_40.w_0" shape = [192] dtype = "float32" min_val = float("-2.48635") @@ -3751,6 +4092,7 @@ class Program_weight_tensor_parameter_340: class Program_weight_tensor_parameter_341: name = "parameter_341" + original_name = "batch_norm2d_40.w_2" shape = [192] dtype = "float32" min_val = float("0.0988378") @@ -3762,6 +4104,7 @@ class Program_weight_tensor_parameter_341: class Program_weight_tensor_parameter_342: name = "parameter_342" + original_name = "batch_norm2d_40.w_1" shape = [192] dtype = "float32" min_val = float("-1.26303") @@ -3773,6 +4116,7 @@ class Program_weight_tensor_parameter_342: class Program_weight_tensor_parameter_343: name = "parameter_343" + original_name = "conv2d_41.w_0" shape = [192, 256, 1, 1] dtype = "float32" min_val = float("-0.448255") @@ -3784,6 +4128,7 @@ class Program_weight_tensor_parameter_343: class Program_weight_tensor_parameter_344: name = "parameter_344" + original_name = "batch_norm2d_42.b_0" shape = [256] dtype = "float32" min_val = float("-2.29397") @@ -3795,6 +4140,7 @@ class Program_weight_tensor_parameter_344: class Program_weight_tensor_parameter_345: name = "parameter_345" + original_name = "batch_norm2d_42.w_0" shape = [256] dtype = "float32" min_val = float("-1.26713") @@ -3806,6 +4152,7 @@ class Program_weight_tensor_parameter_345: class Program_weight_tensor_parameter_346: name = "parameter_346" + original_name = "batch_norm2d_42.w_2" shape = [256] dtype = "float32" min_val = float("0.00592565") @@ -3817,6 +4164,7 @@ class Program_weight_tensor_parameter_346: class Program_weight_tensor_parameter_347: name = "parameter_347" + original_name = "batch_norm2d_42.w_1" shape = [256] dtype = "float32" min_val = float("-0.879422") @@ -3828,6 +4176,7 @@ class Program_weight_tensor_parameter_347: class Program_weight_tensor_parameter_348: name = "parameter_348" + original_name = "conv2d_43.w_0" shape = [256, 256, 1, 1] dtype = "float32" min_val = float("-0.375389") @@ -3839,6 +4188,7 @@ class Program_weight_tensor_parameter_348: class Program_weight_tensor_parameter_349: name = "parameter_349" + original_name = "batch_norm2d_41.b_0" shape = [256] dtype = "float32" min_val = float("-2.29392") @@ -3850,6 +4200,7 @@ class Program_weight_tensor_parameter_349: class Program_weight_tensor_parameter_350: name = "parameter_350" + original_name = "batch_norm2d_41.w_0" shape = [256] dtype = "float32" min_val = float("-1.68807") @@ -3861,6 +4212,7 @@ class Program_weight_tensor_parameter_350: class Program_weight_tensor_parameter_351: name = "parameter_351" + original_name = "batch_norm2d_41.w_2" shape = [256] dtype = "float32" min_val = float("0.00596697") @@ -3872,6 +4224,7 @@ class Program_weight_tensor_parameter_351: class Program_weight_tensor_parameter_352: name = "parameter_352" + original_name = "batch_norm2d_41.w_1" shape = [256] dtype = "float32" min_val = float("-1.05752") @@ -3883,6 +4236,7 @@ class Program_weight_tensor_parameter_352: class Program_weight_tensor_parameter_353: name = "parameter_353" + original_name = "conv2d_42.w_0" shape = [256, 256, 1, 1] dtype = "float32" min_val = float("-0.463738") @@ -3894,6 +4248,7 @@ class Program_weight_tensor_parameter_353: class Program_weight_tensor_parameter_354: name = "parameter_354" + original_name = "batch_norm2d_44.b_0" shape = [192] dtype = "float32" min_val = float("-7.62769") @@ -3905,6 +4260,7 @@ class Program_weight_tensor_parameter_354: class Program_weight_tensor_parameter_355: name = "parameter_355" + original_name = "batch_norm2d_44.w_0" shape = [192] dtype = "float32" min_val = float("0.623422") @@ -3916,6 +4272,7 @@ class Program_weight_tensor_parameter_355: class Program_weight_tensor_parameter_356: name = "parameter_356" + original_name = "batch_norm2d_44.w_2" shape = [192] dtype = "float32" min_val = float("0.102345") @@ -3927,6 +4284,7 @@ class Program_weight_tensor_parameter_356: class Program_weight_tensor_parameter_357: name = "parameter_357" + original_name = "batch_norm2d_44.w_1" shape = [192] dtype = "float32" min_val = float("-1.28738") @@ -3938,6 +4296,7 @@ class Program_weight_tensor_parameter_357: class Program_weight_tensor_parameter_358: name = "parameter_358" + original_name = "conv2d_45.w_0" shape = [192, 512, 1, 1] dtype = "float32" min_val = float("-0.449978") @@ -3949,6 +4308,7 @@ class Program_weight_tensor_parameter_358: class Program_weight_tensor_parameter_359: name = "parameter_359" + original_name = "batch_norm2d_43.b_0" shape = [512] dtype = "float32" min_val = float("-4.60837") @@ -3960,6 +4320,7 @@ class Program_weight_tensor_parameter_359: class Program_weight_tensor_parameter_360: name = "parameter_360" + original_name = "batch_norm2d_43.w_0" shape = [512] dtype = "float32" min_val = float("0.58129") @@ -3971,6 +4332,7 @@ class Program_weight_tensor_parameter_360: class Program_weight_tensor_parameter_361: name = "parameter_361" + original_name = "batch_norm2d_43.w_2" shape = [512] dtype = "float32" min_val = float("0.000303453") @@ -3982,6 +4344,7 @@ class Program_weight_tensor_parameter_361: class Program_weight_tensor_parameter_362: name = "parameter_362" + original_name = "batch_norm2d_43.w_1" shape = [512] dtype = "float32" min_val = float("-0.914944") @@ -3993,6 +4356,7 @@ class Program_weight_tensor_parameter_362: class Program_weight_tensor_parameter_363: name = "parameter_363" + original_name = "conv2d_44.w_0" shape = [512, 1, 3, 3] dtype = "float32" min_val = float("-0.418826") @@ -4004,6 +4368,7 @@ class Program_weight_tensor_parameter_363: class Program_weight_tensor_parameter_364: name = "parameter_364" + original_name = "batch_norm2d_39.b_0" shape = [256] dtype = "float32" min_val = float("-1.98846") @@ -4015,6 +4380,7 @@ class Program_weight_tensor_parameter_364: class Program_weight_tensor_parameter_365: name = "parameter_365" + original_name = "batch_norm2d_39.w_0" shape = [256] dtype = "float32" min_val = float("0.0687501") @@ -4026,6 +4392,7 @@ class Program_weight_tensor_parameter_365: class Program_weight_tensor_parameter_366: name = "parameter_366" + original_name = "batch_norm2d_39.w_2" shape = [256] dtype = "float32" min_val = float("2.2215") @@ -4037,6 +4404,7 @@ class Program_weight_tensor_parameter_366: class Program_weight_tensor_parameter_367: name = "parameter_367" + original_name = "batch_norm2d_39.w_1" shape = [256] dtype = "float32" min_val = float("-4.21177") @@ -4048,6 +4416,7 @@ class Program_weight_tensor_parameter_367: class Program_weight_tensor_parameter_368: name = "parameter_368" + original_name = "conv2d_40.w_0" shape = [256, 192, 1, 1] dtype = "float32" min_val = float("-0.594718") @@ -4059,6 +4428,7 @@ class Program_weight_tensor_parameter_368: class Program_weight_tensor_parameter_369: name = "parameter_369" + original_name = "batch_norm2d_38.b_0" shape = [128] dtype = "float32" min_val = float("-1.07756") @@ -4070,6 +4440,7 @@ class Program_weight_tensor_parameter_369: class Program_weight_tensor_parameter_370: name = "parameter_370" + original_name = "batch_norm2d_38.w_0" shape = [128] dtype = "float32" min_val = float("0.179252") @@ -4081,6 +4452,7 @@ class Program_weight_tensor_parameter_370: class Program_weight_tensor_parameter_371: name = "parameter_371" + original_name = "batch_norm2d_38.w_2" shape = [128] dtype = "float32" min_val = float("1.77506") @@ -4092,6 +4464,7 @@ class Program_weight_tensor_parameter_371: class Program_weight_tensor_parameter_372: name = "parameter_372" + original_name = "batch_norm2d_38.w_1" shape = [128] dtype = "float32" min_val = float("-5.72948") @@ -4103,6 +4476,7 @@ class Program_weight_tensor_parameter_372: class Program_weight_tensor_parameter_373: name = "parameter_373" + original_name = "conv2d_39.w_0" shape = [128, 192, 1, 1] dtype = "float32" min_val = float("-0.363712") @@ -4114,6 +4488,7 @@ class Program_weight_tensor_parameter_373: class Program_weight_tensor_parameter_374: name = "parameter_374" + original_name = "batch_norm2d_37.b_0" shape = [128] dtype = "float32" min_val = float("-2.59101") @@ -4125,6 +4500,7 @@ class Program_weight_tensor_parameter_374: class Program_weight_tensor_parameter_375: name = "parameter_375" + original_name = "batch_norm2d_37.w_0" shape = [128] dtype = "float32" min_val = float("0.235688") @@ -4136,6 +4512,7 @@ class Program_weight_tensor_parameter_375: class Program_weight_tensor_parameter_376: name = "parameter_376" + original_name = "batch_norm2d_37.w_2" shape = [128] dtype = "float32" min_val = float("1.54817") @@ -4147,6 +4524,7 @@ class Program_weight_tensor_parameter_376: class Program_weight_tensor_parameter_377: name = "parameter_377" + original_name = "batch_norm2d_37.w_1" shape = [128] dtype = "float32" min_val = float("-3.68781") @@ -4158,6 +4536,7 @@ class Program_weight_tensor_parameter_377: class Program_weight_tensor_parameter_378: name = "parameter_378" + original_name = "conv2d_38.w_0" shape = [128, 192, 1, 1] dtype = "float32" min_val = float("-0.4665") @@ -4169,6 +4548,7 @@ class Program_weight_tensor_parameter_378: class Program_weight_tensor_parameter_379: name = "parameter_379" + original_name = "batch_norm2d_36.b_0" shape = [192] dtype = "float32" min_val = float("-0.0041992") @@ -4180,6 +4560,7 @@ class Program_weight_tensor_parameter_379: class Program_weight_tensor_parameter_380: name = "parameter_380" + original_name = "batch_norm2d_36.w_0" shape = [192] dtype = "float32" min_val = float("0.455786") @@ -4191,6 +4572,7 @@ class Program_weight_tensor_parameter_380: class Program_weight_tensor_parameter_381: name = "parameter_381" + original_name = "batch_norm2d_36.w_2" shape = [192] dtype = "float32" min_val = float("0.040161") @@ -4202,6 +4584,7 @@ class Program_weight_tensor_parameter_381: class Program_weight_tensor_parameter_382: name = "parameter_382" + original_name = "batch_norm2d_36.w_1" shape = [192] dtype = "float32" min_val = float("-0.98574") @@ -4213,6 +4596,7 @@ class Program_weight_tensor_parameter_382: class Program_weight_tensor_parameter_383: name = "parameter_383" + original_name = "conv2d_37.w_0" shape = [192, 384, 1, 1] dtype = "float32" min_val = float("-0.462673") @@ -4224,6 +4608,7 @@ class Program_weight_tensor_parameter_383: class Program_weight_tensor_parameter_384: name = "parameter_384" + original_name = "conv2d_36.b_0" shape = [384] dtype = "float32" min_val = float("-3.28515") @@ -4235,6 +4620,7 @@ class Program_weight_tensor_parameter_384: class Program_weight_tensor_parameter_385: name = "parameter_385" + original_name = "conv2d_36.w_0" shape = [384, 1, 3, 3] dtype = "float32" min_val = float("-0.626889") @@ -4246,6 +4632,7 @@ class Program_weight_tensor_parameter_385: class Program_weight_tensor_parameter_386: name = "parameter_386" + original_name = "batch_norm2d_35.b_0" shape = [384] dtype = "float32" min_val = float("-4.26322") @@ -4257,6 +4644,7 @@ class Program_weight_tensor_parameter_386: class Program_weight_tensor_parameter_387: name = "parameter_387" + original_name = "batch_norm2d_35.w_0" shape = [384] dtype = "float32" min_val = float("0.761066") @@ -4268,6 +4656,7 @@ class Program_weight_tensor_parameter_387: class Program_weight_tensor_parameter_388: name = "parameter_388" + original_name = "batch_norm2d_35.w_2" shape = [384] dtype = "float32" min_val = float("1.57152") @@ -4279,6 +4668,7 @@ class Program_weight_tensor_parameter_388: class Program_weight_tensor_parameter_389: name = "parameter_389" + original_name = "batch_norm2d_35.w_1" shape = [384] dtype = "float32" min_val = float("-4.02355") @@ -4290,6 +4680,7 @@ class Program_weight_tensor_parameter_389: class Program_weight_tensor_parameter_390: name = "parameter_390" + original_name = "conv2d_35.w_0" shape = [384, 192, 1, 1] dtype = "float32" min_val = float("-0.586609") @@ -4301,6 +4692,7 @@ class Program_weight_tensor_parameter_390: class Program_weight_tensor_parameter_391: name = "parameter_391" + original_name = "batch_norm2d_30.b_0" shape = [192] dtype = "float32" min_val = float("-3.30678") @@ -4312,6 +4704,7 @@ class Program_weight_tensor_parameter_391: class Program_weight_tensor_parameter_392: name = "parameter_392" + original_name = "batch_norm2d_30.w_0" shape = [192] dtype = "float32" min_val = float("-2.95465") @@ -4323,6 +4716,7 @@ class Program_weight_tensor_parameter_392: class Program_weight_tensor_parameter_393: name = "parameter_393" + original_name = "batch_norm2d_30.w_2" shape = [192] dtype = "float32" min_val = float("0.132167") @@ -4334,6 +4728,7 @@ class Program_weight_tensor_parameter_393: class Program_weight_tensor_parameter_394: name = "parameter_394" + original_name = "batch_norm2d_30.w_1" shape = [192] dtype = "float32" min_val = float("-1.84728") @@ -4345,6 +4740,7 @@ class Program_weight_tensor_parameter_394: class Program_weight_tensor_parameter_395: name = "parameter_395" + original_name = "conv2d_30.w_0" shape = [192, 256, 1, 1] dtype = "float32" min_val = float("-0.686685") @@ -4356,6 +4752,7 @@ class Program_weight_tensor_parameter_395: class Program_weight_tensor_parameter_396: name = "parameter_396" + original_name = "batch_norm2d_32.b_0" shape = [256] dtype = "float32" min_val = float("-5.18379") @@ -4367,6 +4764,7 @@ class Program_weight_tensor_parameter_396: class Program_weight_tensor_parameter_397: name = "parameter_397" + original_name = "batch_norm2d_32.w_0" shape = [256] dtype = "float32" min_val = float("-2.59159") @@ -4378,6 +4776,7 @@ class Program_weight_tensor_parameter_397: class Program_weight_tensor_parameter_398: name = "parameter_398" + original_name = "batch_norm2d_32.w_2" shape = [256] dtype = "float32" min_val = float("5.60519e-45") @@ -4389,6 +4788,7 @@ class Program_weight_tensor_parameter_398: class Program_weight_tensor_parameter_399: name = "parameter_399" + original_name = "batch_norm2d_32.w_1" shape = [256] dtype = "float32" min_val = float("-2.17441") @@ -4400,6 +4800,7 @@ class Program_weight_tensor_parameter_399: class Program_weight_tensor_parameter_400: name = "parameter_400" + original_name = "conv2d_32.w_0" shape = [256, 256, 1, 1] dtype = "float32" min_val = float("-0.716981") @@ -4411,6 +4812,7 @@ class Program_weight_tensor_parameter_400: class Program_weight_tensor_parameter_401: name = "parameter_401" + original_name = "batch_norm2d_31.b_0" shape = [256] dtype = "float32" min_val = float("-5.18379") @@ -4422,6 +4824,7 @@ class Program_weight_tensor_parameter_401: class Program_weight_tensor_parameter_402: name = "parameter_402" + original_name = "batch_norm2d_31.w_0" shape = [256] dtype = "float32" min_val = float("-3.87931") @@ -4433,6 +4836,7 @@ class Program_weight_tensor_parameter_402: class Program_weight_tensor_parameter_403: name = "parameter_403" + original_name = "batch_norm2d_31.w_2" shape = [256] dtype = "float32" min_val = float("5.60519e-45") @@ -4444,6 +4848,7 @@ class Program_weight_tensor_parameter_403: class Program_weight_tensor_parameter_404: name = "parameter_404" + original_name = "batch_norm2d_31.w_1" shape = [256] dtype = "float32" min_val = float("-1.91858") @@ -4455,6 +4860,7 @@ class Program_weight_tensor_parameter_404: class Program_weight_tensor_parameter_405: name = "parameter_405" + original_name = "conv2d_31.w_0" shape = [256, 256, 1, 1] dtype = "float32" min_val = float("-0.4015") @@ -4466,6 +4872,7 @@ class Program_weight_tensor_parameter_405: class Program_weight_tensor_parameter_406: name = "parameter_406" + original_name = "batch_norm2d_34.b_0" shape = [192] dtype = "float32" min_val = float("-13.8321") @@ -4477,6 +4884,7 @@ class Program_weight_tensor_parameter_406: class Program_weight_tensor_parameter_407: name = "parameter_407" + original_name = "batch_norm2d_34.w_0" shape = [192] dtype = "float32" min_val = float("0.807039") @@ -4488,6 +4896,7 @@ class Program_weight_tensor_parameter_407: class Program_weight_tensor_parameter_408: name = "parameter_408" + original_name = "batch_norm2d_34.w_2" shape = [192] dtype = "float32" min_val = float("0.236475") @@ -4499,6 +4908,7 @@ class Program_weight_tensor_parameter_408: class Program_weight_tensor_parameter_409: name = "parameter_409" + original_name = "batch_norm2d_34.w_1" shape = [192] dtype = "float32" min_val = float("-2.88675") @@ -4510,6 +4920,7 @@ class Program_weight_tensor_parameter_409: class Program_weight_tensor_parameter_410: name = "parameter_410" + original_name = "conv2d_34.w_0" shape = [192, 512, 1, 1] dtype = "float32" min_val = float("-0.768846") @@ -4521,6 +4932,7 @@ class Program_weight_tensor_parameter_410: class Program_weight_tensor_parameter_411: name = "parameter_411" + original_name = "batch_norm2d_33.b_0" shape = [512] dtype = "float32" min_val = float("-4.28154") @@ -4532,6 +4944,7 @@ class Program_weight_tensor_parameter_411: class Program_weight_tensor_parameter_412: name = "parameter_412" + original_name = "batch_norm2d_33.w_0" shape = [512] dtype = "float32" min_val = float("0.569248") @@ -4543,6 +4956,7 @@ class Program_weight_tensor_parameter_412: class Program_weight_tensor_parameter_413: name = "parameter_413" + original_name = "batch_norm2d_33.w_2" shape = [512] dtype = "float32" min_val = float("0.000209552") @@ -4554,6 +4968,7 @@ class Program_weight_tensor_parameter_413: class Program_weight_tensor_parameter_414: name = "parameter_414" + original_name = "batch_norm2d_33.w_1" shape = [512] dtype = "float32" min_val = float("-5.5934") @@ -4565,6 +4980,7 @@ class Program_weight_tensor_parameter_414: class Program_weight_tensor_parameter_415: name = "parameter_415" + original_name = "conv2d_33.w_0" shape = [512, 1, 3, 3] dtype = "float32" min_val = float("-0.66185") @@ -4576,6 +4992,7 @@ class Program_weight_tensor_parameter_415: class Program_weight_tensor_parameter_416: name = "parameter_416" + original_name = "batch_norm2d_29.b_0" shape = [256] dtype = "float32" min_val = float("-4.67162") @@ -4587,6 +5004,7 @@ class Program_weight_tensor_parameter_416: class Program_weight_tensor_parameter_417: name = "parameter_417" + original_name = "batch_norm2d_29.w_0" shape = [256] dtype = "float32" min_val = float("0.0608727") @@ -4598,6 +5016,7 @@ class Program_weight_tensor_parameter_417: class Program_weight_tensor_parameter_418: name = "parameter_418" + original_name = "batch_norm2d_29.w_2" shape = [256] dtype = "float32" min_val = float("1.64278") @@ -4609,6 +5028,7 @@ class Program_weight_tensor_parameter_418: class Program_weight_tensor_parameter_419: name = "parameter_419" + original_name = "batch_norm2d_29.w_1" shape = [256] dtype = "float32" min_val = float("-0.00383232") @@ -4620,6 +5040,7 @@ class Program_weight_tensor_parameter_419: class Program_weight_tensor_parameter_420: name = "parameter_420" + original_name = "conv2d_29.w_0" shape = [256, 192, 1, 1] dtype = "float32" min_val = float("-0.790644") @@ -4631,6 +5052,7 @@ class Program_weight_tensor_parameter_420: class Program_weight_tensor_parameter_421: name = "parameter_421" + original_name = "batch_norm2d_28.b_0" shape = [128] dtype = "float32" min_val = float("-1.07544") @@ -4642,6 +5064,7 @@ class Program_weight_tensor_parameter_421: class Program_weight_tensor_parameter_422: name = "parameter_422" + original_name = "batch_norm2d_28.w_0" shape = [128] dtype = "float32" min_val = float("-0.050615") @@ -4653,6 +5076,7 @@ class Program_weight_tensor_parameter_422: class Program_weight_tensor_parameter_423: name = "parameter_423" + original_name = "batch_norm2d_28.w_2" shape = [128] dtype = "float32" min_val = float("1.37511") @@ -4664,6 +5088,7 @@ class Program_weight_tensor_parameter_423: class Program_weight_tensor_parameter_424: name = "parameter_424" + original_name = "batch_norm2d_28.w_1" shape = [128] dtype = "float32" min_val = float("-0.00309017") @@ -4675,6 +5100,7 @@ class Program_weight_tensor_parameter_424: class Program_weight_tensor_parameter_425: name = "parameter_425" + original_name = "conv2d_28.w_0" shape = [128, 192, 1, 1] dtype = "float32" min_val = float("-0.739743") @@ -4686,6 +5112,7 @@ class Program_weight_tensor_parameter_425: class Program_weight_tensor_parameter_426: name = "parameter_426" + original_name = "batch_norm2d_27.b_0" shape = [128] dtype = "float32" min_val = float("-5.38433") @@ -4697,6 +5124,7 @@ class Program_weight_tensor_parameter_426: class Program_weight_tensor_parameter_427: name = "parameter_427" + original_name = "batch_norm2d_27.w_0" shape = [128] dtype = "float32" min_val = float("0.170599") @@ -4708,6 +5136,7 @@ class Program_weight_tensor_parameter_427: class Program_weight_tensor_parameter_428: name = "parameter_428" + original_name = "batch_norm2d_27.w_2" shape = [128] dtype = "float32" min_val = float("1.11073") @@ -4719,6 +5148,7 @@ class Program_weight_tensor_parameter_428: class Program_weight_tensor_parameter_429: name = "parameter_429" + original_name = "batch_norm2d_27.w_1" shape = [128] dtype = "float32" min_val = float("-0.00158786") @@ -4730,6 +5160,7 @@ class Program_weight_tensor_parameter_429: class Program_weight_tensor_parameter_430: name = "parameter_430" + original_name = "conv2d_27.w_0" shape = [128, 192, 1, 1] dtype = "float32" min_val = float("-0.610661") @@ -4741,6 +5172,7 @@ class Program_weight_tensor_parameter_430: class Program_weight_tensor_parameter_431: name = "parameter_431" + original_name = "batch_norm2d_23.b_0" shape = [192] dtype = "float32" min_val = float("-0.00445625") @@ -4752,6 +5184,7 @@ class Program_weight_tensor_parameter_431: class Program_weight_tensor_parameter_432: name = "parameter_432" + original_name = "batch_norm2d_23.w_0" shape = [192] dtype = "float32" min_val = float("0.804435") @@ -4763,6 +5196,7 @@ class Program_weight_tensor_parameter_432: class Program_weight_tensor_parameter_433: name = "parameter_433" + original_name = "batch_norm2d_23.w_2" shape = [192] dtype = "float32" min_val = float("2.19714") @@ -4774,6 +5208,7 @@ class Program_weight_tensor_parameter_433: class Program_weight_tensor_parameter_434: name = "parameter_434" + original_name = "batch_norm2d_23.w_1" shape = [192] dtype = "float32" min_val = float("-9.86938") @@ -4785,6 +5220,7 @@ class Program_weight_tensor_parameter_434: class Program_weight_tensor_parameter_435: name = "parameter_435" + original_name = "conv2d_23.w_0" shape = [192, 512, 1, 1] dtype = "float32" min_val = float("-0.880126") @@ -4796,6 +5232,7 @@ class Program_weight_tensor_parameter_435: class Program_weight_tensor_parameter_436: name = "parameter_436" + original_name = "batch_norm2d_22.b_0" shape = [512] dtype = "float32" min_val = float("-14.0163") @@ -4807,6 +5244,7 @@ class Program_weight_tensor_parameter_436: class Program_weight_tensor_parameter_437: name = "parameter_437" + original_name = "batch_norm2d_22.w_0" shape = [512] dtype = "float32" min_val = float("0.835915") @@ -4818,6 +5256,7 @@ class Program_weight_tensor_parameter_437: class Program_weight_tensor_parameter_438: name = "parameter_438" + original_name = "batch_norm2d_22.w_2" shape = [512] dtype = "float32" min_val = float("5.60519e-45") @@ -4829,6 +5268,7 @@ class Program_weight_tensor_parameter_438: class Program_weight_tensor_parameter_439: name = "parameter_439" + original_name = "batch_norm2d_22.w_1" shape = [512] dtype = "float32" min_val = float("-3.9418") @@ -4840,6 +5280,7 @@ class Program_weight_tensor_parameter_439: class Program_weight_tensor_parameter_440: name = "parameter_440" + original_name = "conv2d_22.w_0" shape = [512, 1, 5, 5] dtype = "float32" min_val = float("-0.362483") @@ -4851,6 +5292,7 @@ class Program_weight_tensor_parameter_440: class Program_weight_tensor_parameter_441: name = "parameter_441" + original_name = "batch_norm2d_21.b_0" shape = [512] dtype = "float32" min_val = float("-4.12017") @@ -4862,6 +5304,7 @@ class Program_weight_tensor_parameter_441: class Program_weight_tensor_parameter_442: name = "parameter_442" + original_name = "batch_norm2d_21.w_0" shape = [512] dtype = "float32" min_val = float("-0.0961572") @@ -4873,6 +5316,7 @@ class Program_weight_tensor_parameter_442: class Program_weight_tensor_parameter_443: name = "parameter_443" + original_name = "batch_norm2d_21.w_2" shape = [512] dtype = "float32" min_val = float("5.60519e-45") @@ -4884,6 +5328,7 @@ class Program_weight_tensor_parameter_443: class Program_weight_tensor_parameter_444: name = "parameter_444" + original_name = "batch_norm2d_21.w_1" shape = [512] dtype = "float32" min_val = float("-0.00454968") @@ -4895,6 +5340,7 @@ class Program_weight_tensor_parameter_444: class Program_weight_tensor_parameter_445: name = "parameter_445" + original_name = "conv2d_21.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.747659") @@ -4906,6 +5352,7 @@ class Program_weight_tensor_parameter_445: class Program_weight_tensor_parameter_446: name = "parameter_446" + original_name = "batch_norm2d_20.b_0" shape = [128] dtype = "float32" min_val = float("-0.00149904") @@ -4917,6 +5364,7 @@ class Program_weight_tensor_parameter_446: class Program_weight_tensor_parameter_447: name = "parameter_447" + original_name = "batch_norm2d_20.w_0" shape = [128] dtype = "float32" min_val = float("-0.915738") @@ -4928,6 +5376,7 @@ class Program_weight_tensor_parameter_447: class Program_weight_tensor_parameter_448: name = "parameter_448" + original_name = "batch_norm2d_20.w_2" shape = [128] dtype = "float32" min_val = float("0.726651") @@ -4939,6 +5388,7 @@ class Program_weight_tensor_parameter_448: class Program_weight_tensor_parameter_449: name = "parameter_449" + original_name = "batch_norm2d_20.w_1" shape = [128] dtype = "float32" min_val = float("-6.00951") @@ -4950,6 +5400,7 @@ class Program_weight_tensor_parameter_449: class Program_weight_tensor_parameter_450: name = "parameter_450" + original_name = "conv2d_20.w_0" shape = [128, 384, 1, 1] dtype = "float32" min_val = float("-0.718722") @@ -4961,6 +5412,7 @@ class Program_weight_tensor_parameter_450: class Program_weight_tensor_parameter_451: name = "parameter_451" + original_name = "batch_norm2d_19.b_0" shape = [384] dtype = "float32" min_val = float("-11.6774") @@ -4972,6 +5424,7 @@ class Program_weight_tensor_parameter_451: class Program_weight_tensor_parameter_452: name = "parameter_452" + original_name = "batch_norm2d_19.w_0" shape = [384] dtype = "float32" min_val = float("0.647979") @@ -4983,6 +5436,7 @@ class Program_weight_tensor_parameter_452: class Program_weight_tensor_parameter_453: name = "parameter_453" + original_name = "batch_norm2d_19.w_2" shape = [384] dtype = "float32" min_val = float("5.60519e-45") @@ -4994,6 +5448,7 @@ class Program_weight_tensor_parameter_453: class Program_weight_tensor_parameter_454: name = "parameter_454" + original_name = "batch_norm2d_19.w_1" shape = [384] dtype = "float32" min_val = float("-2.42566") @@ -5005,6 +5460,7 @@ class Program_weight_tensor_parameter_454: class Program_weight_tensor_parameter_455: name = "parameter_455" + original_name = "conv2d_19.w_0" shape = [384, 1, 3, 3] dtype = "float32" min_val = float("-0.659566") @@ -5016,6 +5472,7 @@ class Program_weight_tensor_parameter_455: class Program_weight_tensor_parameter_456: name = "parameter_456" + original_name = "batch_norm2d_18.b_0" shape = [384] dtype = "float32" min_val = float("-2.34286") @@ -5027,6 +5484,7 @@ class Program_weight_tensor_parameter_456: class Program_weight_tensor_parameter_457: name = "parameter_457" + original_name = "batch_norm2d_18.w_0" shape = [384] dtype = "float32" min_val = float("0.189991") @@ -5038,6 +5496,7 @@ class Program_weight_tensor_parameter_457: class Program_weight_tensor_parameter_458: name = "parameter_458" + original_name = "batch_norm2d_18.w_2" shape = [384] dtype = "float32" min_val = float("5.60519e-45") @@ -5049,6 +5508,7 @@ class Program_weight_tensor_parameter_458: class Program_weight_tensor_parameter_459: name = "parameter_459" + original_name = "batch_norm2d_18.w_1" shape = [384] dtype = "float32" min_val = float("-0.00228189") @@ -5060,6 +5520,7 @@ class Program_weight_tensor_parameter_459: class Program_weight_tensor_parameter_460: name = "parameter_460" + original_name = "conv2d_18.w_0" shape = [384, 128, 1, 1] dtype = "float32" min_val = float("-0.700424") @@ -5071,6 +5532,7 @@ class Program_weight_tensor_parameter_460: class Program_weight_tensor_parameter_461: name = "parameter_461" + original_name = "batch_norm2d_17.b_0" shape = [128] dtype = "float32" min_val = float("-0.00194708") @@ -5082,6 +5544,7 @@ class Program_weight_tensor_parameter_461: class Program_weight_tensor_parameter_462: name = "parameter_462" + original_name = "batch_norm2d_17.w_0" shape = [128] dtype = "float32" min_val = float("0.863633") @@ -5093,6 +5556,7 @@ class Program_weight_tensor_parameter_462: class Program_weight_tensor_parameter_463: name = "parameter_463" + original_name = "batch_norm2d_17.w_2" shape = [128] dtype = "float32" min_val = float("1.3603") @@ -5104,6 +5568,7 @@ class Program_weight_tensor_parameter_463: class Program_weight_tensor_parameter_464: name = "parameter_464" + original_name = "batch_norm2d_17.w_1" shape = [128] dtype = "float32" min_val = float("-18.7215") @@ -5115,6 +5580,7 @@ class Program_weight_tensor_parameter_464: class Program_weight_tensor_parameter_465: name = "parameter_465" + original_name = "conv2d_17.w_0" shape = [128, 192, 1, 1] dtype = "float32" min_val = float("-0.712816") @@ -5126,6 +5592,7 @@ class Program_weight_tensor_parameter_465: class Program_weight_tensor_parameter_466: name = "parameter_466" + original_name = "batch_norm2d_16.b_0" shape = [192] dtype = "float32" min_val = float("-2.87042") @@ -5137,6 +5604,7 @@ class Program_weight_tensor_parameter_466: class Program_weight_tensor_parameter_467: name = "parameter_467" + original_name = "batch_norm2d_16.w_0" shape = [192] dtype = "float32" min_val = float("1.591") @@ -5148,6 +5616,7 @@ class Program_weight_tensor_parameter_467: class Program_weight_tensor_parameter_468: name = "parameter_468" + original_name = "batch_norm2d_16.w_2" shape = [192] dtype = "float32" min_val = float("0.122329") @@ -5159,6 +5628,7 @@ class Program_weight_tensor_parameter_468: class Program_weight_tensor_parameter_469: name = "parameter_469" + original_name = "batch_norm2d_16.w_1" shape = [192] dtype = "float32" min_val = float("-2.84039") @@ -5170,6 +5640,7 @@ class Program_weight_tensor_parameter_469: class Program_weight_tensor_parameter_470: name = "parameter_470" + original_name = "conv2d_16.w_0" shape = [192, 1, 3, 3] dtype = "float32" min_val = float("-0.372667") @@ -5181,6 +5652,7 @@ class Program_weight_tensor_parameter_470: class Program_weight_tensor_parameter_471: name = "parameter_471" + original_name = "batch_norm2d_15.b_0" shape = [192] dtype = "float32" min_val = float("-3.90991") @@ -5192,6 +5664,7 @@ class Program_weight_tensor_parameter_471: class Program_weight_tensor_parameter_472: name = "parameter_472" + original_name = "batch_norm2d_15.w_0" shape = [192] dtype = "float32" min_val = float("0.739289") @@ -5203,6 +5676,7 @@ class Program_weight_tensor_parameter_472: class Program_weight_tensor_parameter_473: name = "parameter_473" + original_name = "batch_norm2d_15.w_2" shape = [192] dtype = "float32" min_val = float("14.6759") @@ -5214,6 +5688,7 @@ class Program_weight_tensor_parameter_473: class Program_weight_tensor_parameter_474: name = "parameter_474" + original_name = "batch_norm2d_15.w_1" shape = [192] dtype = "float32" min_val = float("-0.00645945") @@ -5225,6 +5700,7 @@ class Program_weight_tensor_parameter_474: class Program_weight_tensor_parameter_475: name = "parameter_475" + original_name = "conv2d_15.w_0" shape = [192, 64, 1, 1] dtype = "float32" min_val = float("-1.29273") @@ -5236,6 +5712,7 @@ class Program_weight_tensor_parameter_475: class Program_weight_tensor_parameter_476: name = "parameter_476" + original_name = "batch_norm2d_14.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -5245,6 +5722,7 @@ class Program_weight_tensor_parameter_476: class Program_weight_tensor_parameter_477: name = "parameter_477" + original_name = "batch_norm2d_14.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -5254,6 +5732,7 @@ class Program_weight_tensor_parameter_477: class Program_weight_tensor_parameter_478: name = "parameter_478" + original_name = "batch_norm2d_14.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -5263,6 +5742,7 @@ class Program_weight_tensor_parameter_478: class Program_weight_tensor_parameter_479: name = "parameter_479" + original_name = "batch_norm2d_14.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -5272,6 +5752,7 @@ class Program_weight_tensor_parameter_479: class Program_weight_tensor_parameter_480: name = "parameter_480" + original_name = "conv2d_14.w_0" shape = [64, 192, 1, 1] dtype = "float32" min_val = float("-0.668597") @@ -5283,6 +5764,7 @@ class Program_weight_tensor_parameter_480: class Program_weight_tensor_parameter_481: name = "parameter_481" + original_name = "batch_norm2d_13.b_0" shape = [192] dtype = "float32" min_val = float("-9.71686") @@ -5294,6 +5776,7 @@ class Program_weight_tensor_parameter_481: class Program_weight_tensor_parameter_482: name = "parameter_482" + original_name = "batch_norm2d_13.w_0" shape = [192] dtype = "float32" min_val = float("0.648988") @@ -5305,6 +5788,7 @@ class Program_weight_tensor_parameter_482: class Program_weight_tensor_parameter_483: name = "parameter_483" + original_name = "batch_norm2d_13.w_2" shape = [192] dtype = "float32" min_val = float("5.60519e-45") @@ -5316,6 +5800,7 @@ class Program_weight_tensor_parameter_483: class Program_weight_tensor_parameter_484: name = "parameter_484" + original_name = "batch_norm2d_13.w_1" shape = [192] dtype = "float32" min_val = float("-5.77433") @@ -5327,6 +5812,7 @@ class Program_weight_tensor_parameter_484: class Program_weight_tensor_parameter_485: name = "parameter_485" + original_name = "conv2d_13.w_0" shape = [192, 1, 5, 5] dtype = "float32" min_val = float("-0.881269") @@ -5338,6 +5824,7 @@ class Program_weight_tensor_parameter_485: class Program_weight_tensor_parameter_486: name = "parameter_486" + original_name = "batch_norm2d_12.b_0" shape = [192] dtype = "float32" min_val = float("-6.04248") @@ -5349,6 +5836,7 @@ class Program_weight_tensor_parameter_486: class Program_weight_tensor_parameter_487: name = "parameter_487" + original_name = "batch_norm2d_12.w_0" shape = [192] dtype = "float32" min_val = float("-0.122395") @@ -5360,6 +5848,7 @@ class Program_weight_tensor_parameter_487: class Program_weight_tensor_parameter_488: name = "parameter_488" + original_name = "batch_norm2d_12.w_2" shape = [192] dtype = "float32" min_val = float("5.60519e-45") @@ -5371,6 +5860,7 @@ class Program_weight_tensor_parameter_488: class Program_weight_tensor_parameter_489: name = "parameter_489" + original_name = "batch_norm2d_12.w_1" shape = [192] dtype = "float32" min_val = float("-0.00286923") @@ -5382,6 +5872,7 @@ class Program_weight_tensor_parameter_489: class Program_weight_tensor_parameter_490: name = "parameter_490" + original_name = "conv2d_12.w_0" shape = [192, 64, 1, 1] dtype = "float32" min_val = float("-0.606748") @@ -5393,6 +5884,7 @@ class Program_weight_tensor_parameter_490: class Program_weight_tensor_parameter_491: name = "parameter_491" + original_name = "batch_norm2d_11.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -5402,6 +5894,7 @@ class Program_weight_tensor_parameter_491: class Program_weight_tensor_parameter_492: name = "parameter_492" + original_name = "batch_norm2d_11.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -5411,6 +5904,7 @@ class Program_weight_tensor_parameter_492: class Program_weight_tensor_parameter_493: name = "parameter_493" + original_name = "batch_norm2d_11.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -5420,6 +5914,7 @@ class Program_weight_tensor_parameter_493: class Program_weight_tensor_parameter_494: name = "parameter_494" + original_name = "batch_norm2d_11.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -5429,6 +5924,7 @@ class Program_weight_tensor_parameter_494: class Program_weight_tensor_parameter_495: name = "parameter_495" + original_name = "conv2d_11.w_0" shape = [64, 96, 1, 1] dtype = "float32" min_val = float("-1.14419") @@ -5440,6 +5936,7 @@ class Program_weight_tensor_parameter_495: class Program_weight_tensor_parameter_496: name = "parameter_496" + original_name = "batch_norm2d_10.b_0" shape = [96] dtype = "float32" min_val = float("-3.1359") @@ -5451,6 +5948,7 @@ class Program_weight_tensor_parameter_496: class Program_weight_tensor_parameter_497: name = "parameter_497" + original_name = "batch_norm2d_10.w_0" shape = [96] dtype = "float32" min_val = float("1.45743") @@ -5462,6 +5960,7 @@ class Program_weight_tensor_parameter_497: class Program_weight_tensor_parameter_498: name = "parameter_498" + original_name = "batch_norm2d_10.w_2" shape = [96] dtype = "float32" min_val = float("0.264823") @@ -5473,6 +5972,7 @@ class Program_weight_tensor_parameter_498: class Program_weight_tensor_parameter_499: name = "parameter_499" + original_name = "batch_norm2d_10.w_1" shape = [96] dtype = "float32" min_val = float("-10.3712") @@ -5484,6 +5984,7 @@ class Program_weight_tensor_parameter_499: class Program_weight_tensor_parameter_500: name = "parameter_500" + original_name = "conv2d_10.w_0" shape = [96, 1, 5, 5] dtype = "float32" min_val = float("-0.620461") @@ -5495,6 +5996,7 @@ class Program_weight_tensor_parameter_500: class Program_weight_tensor_parameter_501: name = "parameter_501" + original_name = "batch_norm2d_9.b_0" shape = [96] dtype = "float32" min_val = float("-3.38958") @@ -5506,6 +6008,7 @@ class Program_weight_tensor_parameter_501: class Program_weight_tensor_parameter_502: name = "parameter_502" + original_name = "batch_norm2d_9.w_0" shape = [96] dtype = "float32" min_val = float("1.33555") @@ -5517,6 +6020,7 @@ class Program_weight_tensor_parameter_502: class Program_weight_tensor_parameter_503: name = "parameter_503" + original_name = "batch_norm2d_9.w_2" shape = [96] dtype = "float32" min_val = float("20.8827") @@ -5528,6 +6032,7 @@ class Program_weight_tensor_parameter_503: class Program_weight_tensor_parameter_504: name = "parameter_504" + original_name = "batch_norm2d_9.w_1" shape = [96] dtype = "float32" min_val = float("-0.0116865") @@ -5539,6 +6044,7 @@ class Program_weight_tensor_parameter_504: class Program_weight_tensor_parameter_505: name = "parameter_505" + original_name = "conv2d_9.w_0" shape = [96, 32, 1, 1] dtype = "float32" min_val = float("-1.76885") @@ -5550,6 +6056,7 @@ class Program_weight_tensor_parameter_505: class Program_weight_tensor_parameter_506: name = "parameter_506" + original_name = "batch_norm2d_8.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -5559,6 +6066,7 @@ class Program_weight_tensor_parameter_506: class Program_weight_tensor_parameter_507: name = "parameter_507" + original_name = "batch_norm2d_8.w_0" shape = [32] dtype = "float32" min_val = float("0") @@ -5568,6 +6076,7 @@ class Program_weight_tensor_parameter_507: class Program_weight_tensor_parameter_508: name = "parameter_508" + original_name = "batch_norm2d_8.w_2" shape = [32] dtype = "float32" min_val = float("0") @@ -5577,6 +6086,7 @@ class Program_weight_tensor_parameter_508: class Program_weight_tensor_parameter_509: name = "parameter_509" + original_name = "batch_norm2d_8.w_1" shape = [32] dtype = "float32" min_val = float("0") @@ -5586,6 +6096,7 @@ class Program_weight_tensor_parameter_509: class Program_weight_tensor_parameter_510: name = "parameter_510" + original_name = "conv2d_8.w_0" shape = [32, 96, 1, 1] dtype = "float32" min_val = float("-1.18818") @@ -5597,6 +6108,7 @@ class Program_weight_tensor_parameter_510: class Program_weight_tensor_parameter_511: name = "parameter_511" + original_name = "batch_norm2d_7.b_0" shape = [96] dtype = "float32" min_val = float("-6.3822") @@ -5608,6 +6120,7 @@ class Program_weight_tensor_parameter_511: class Program_weight_tensor_parameter_512: name = "parameter_512" + original_name = "batch_norm2d_7.w_0" shape = [96] dtype = "float32" min_val = float("1.08328") @@ -5619,6 +6132,7 @@ class Program_weight_tensor_parameter_512: class Program_weight_tensor_parameter_513: name = "parameter_513" + original_name = "batch_norm2d_7.w_2" shape = [96] dtype = "float32" min_val = float("0.0116719") @@ -5630,6 +6144,7 @@ class Program_weight_tensor_parameter_513: class Program_weight_tensor_parameter_514: name = "parameter_514" + original_name = "batch_norm2d_7.w_1" shape = [96] dtype = "float32" min_val = float("-4.70344") @@ -5641,6 +6156,7 @@ class Program_weight_tensor_parameter_514: class Program_weight_tensor_parameter_515: name = "parameter_515" + original_name = "conv2d_7.w_0" shape = [96, 1, 3, 3] dtype = "float32" min_val = float("-1.30675") @@ -5652,6 +6168,7 @@ class Program_weight_tensor_parameter_515: class Program_weight_tensor_parameter_516: name = "parameter_516" + original_name = "batch_norm2d_6.b_0" shape = [96] dtype = "float32" min_val = float("-6.65618") @@ -5663,6 +6180,7 @@ class Program_weight_tensor_parameter_516: class Program_weight_tensor_parameter_517: name = "parameter_517" + original_name = "batch_norm2d_6.w_0" shape = [96] dtype = "float32" min_val = float("0.388854") @@ -5674,6 +6192,7 @@ class Program_weight_tensor_parameter_517: class Program_weight_tensor_parameter_518: name = "parameter_518" + original_name = "batch_norm2d_6.w_2" shape = [96] dtype = "float32" min_val = float("7.52144") @@ -5685,6 +6204,7 @@ class Program_weight_tensor_parameter_518: class Program_weight_tensor_parameter_519: name = "parameter_519" + original_name = "batch_norm2d_6.w_1" shape = [96] dtype = "float32" min_val = float("-0.00558105") @@ -5696,6 +6216,7 @@ class Program_weight_tensor_parameter_519: class Program_weight_tensor_parameter_520: name = "parameter_520" + original_name = "conv2d_6.w_0" shape = [96, 32, 1, 1] dtype = "float32" min_val = float("-1.06669") @@ -5707,6 +6228,7 @@ class Program_weight_tensor_parameter_520: class Program_weight_tensor_parameter_521: name = "parameter_521" + original_name = "batch_norm2d_5.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -5716,6 +6238,7 @@ class Program_weight_tensor_parameter_521: class Program_weight_tensor_parameter_522: name = "parameter_522" + original_name = "batch_norm2d_5.w_0" shape = [32] dtype = "float32" min_val = float("0") @@ -5725,6 +6248,7 @@ class Program_weight_tensor_parameter_522: class Program_weight_tensor_parameter_523: name = "parameter_523" + original_name = "batch_norm2d_5.w_2" shape = [32] dtype = "float32" min_val = float("0") @@ -5734,6 +6258,7 @@ class Program_weight_tensor_parameter_523: class Program_weight_tensor_parameter_524: name = "parameter_524" + original_name = "batch_norm2d_5.w_1" shape = [32] dtype = "float32" min_val = float("0") @@ -5743,6 +6268,7 @@ class Program_weight_tensor_parameter_524: class Program_weight_tensor_parameter_525: name = "parameter_525" + original_name = "conv2d_5.w_0" shape = [32, 64, 1, 1] dtype = "float32" min_val = float("-1.2403") @@ -5754,6 +6280,7 @@ class Program_weight_tensor_parameter_525: class Program_weight_tensor_parameter_526: name = "parameter_526" + original_name = "batch_norm2d_4.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -5763,6 +6290,7 @@ class Program_weight_tensor_parameter_526: class Program_weight_tensor_parameter_527: name = "parameter_527" + original_name = "batch_norm2d_4.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -5772,6 +6300,7 @@ class Program_weight_tensor_parameter_527: class Program_weight_tensor_parameter_528: name = "parameter_528" + original_name = "batch_norm2d_4.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -5781,6 +6310,7 @@ class Program_weight_tensor_parameter_528: class Program_weight_tensor_parameter_529: name = "parameter_529" + original_name = "batch_norm2d_4.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -5790,6 +6320,7 @@ class Program_weight_tensor_parameter_529: class Program_weight_tensor_parameter_530: name = "parameter_530" + original_name = "conv2d_4.w_0" shape = [64, 1, 3, 3] dtype = "float32" min_val = float("-1.29828") @@ -5801,6 +6332,7 @@ class Program_weight_tensor_parameter_530: class Program_weight_tensor_parameter_531: name = "parameter_531" + original_name = "batch_norm2d_3.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -5810,6 +6342,7 @@ class Program_weight_tensor_parameter_531: class Program_weight_tensor_parameter_532: name = "parameter_532" + original_name = "batch_norm2d_3.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -5819,6 +6352,7 @@ class Program_weight_tensor_parameter_532: class Program_weight_tensor_parameter_533: name = "parameter_533" + original_name = "batch_norm2d_3.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -5828,6 +6362,7 @@ class Program_weight_tensor_parameter_533: class Program_weight_tensor_parameter_534: name = "parameter_534" + original_name = "batch_norm2d_3.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -5837,6 +6372,7 @@ class Program_weight_tensor_parameter_534: class Program_weight_tensor_parameter_535: name = "parameter_535" + original_name = "conv2d_3.w_0" shape = [64, 16, 1, 1] dtype = "float32" min_val = float("-1.78681") @@ -5848,6 +6384,7 @@ class Program_weight_tensor_parameter_535: class Program_weight_tensor_parameter_536: name = "parameter_536" + original_name = "batch_norm2d_2.b_0" shape = [16] dtype = "float32" min_val = float("0") @@ -5857,6 +6394,7 @@ class Program_weight_tensor_parameter_536: class Program_weight_tensor_parameter_537: name = "parameter_537" + original_name = "batch_norm2d_2.w_0" shape = [16] dtype = "float32" min_val = float("0") @@ -5866,6 +6404,7 @@ class Program_weight_tensor_parameter_537: class Program_weight_tensor_parameter_538: name = "parameter_538" + original_name = "batch_norm2d_2.w_2" shape = [16] dtype = "float32" min_val = float("0") @@ -5875,6 +6414,7 @@ class Program_weight_tensor_parameter_538: class Program_weight_tensor_parameter_539: name = "parameter_539" + original_name = "batch_norm2d_2.w_1" shape = [16] dtype = "float32" min_val = float("0") @@ -5884,6 +6424,7 @@ class Program_weight_tensor_parameter_539: class Program_weight_tensor_parameter_540: name = "parameter_540" + original_name = "conv2d_2.w_0" shape = [16, 16, 1, 1] dtype = "float32" min_val = float("-1.60611") @@ -5895,6 +6436,7 @@ class Program_weight_tensor_parameter_540: class Program_weight_tensor_parameter_541: name = "parameter_541" + original_name = "batch_norm2d_1.b_0" shape = [16] dtype = "float32" min_val = float("0") @@ -5904,6 +6446,7 @@ class Program_weight_tensor_parameter_541: class Program_weight_tensor_parameter_542: name = "parameter_542" + original_name = "batch_norm2d_1.w_0" shape = [16] dtype = "float32" min_val = float("0") @@ -5913,6 +6456,7 @@ class Program_weight_tensor_parameter_542: class Program_weight_tensor_parameter_543: name = "parameter_543" + original_name = "batch_norm2d_1.w_2" shape = [16] dtype = "float32" min_val = float("0") @@ -5922,6 +6466,7 @@ class Program_weight_tensor_parameter_543: class Program_weight_tensor_parameter_544: name = "parameter_544" + original_name = "batch_norm2d_1.w_1" shape = [16] dtype = "float32" min_val = float("0") @@ -5931,6 +6476,7 @@ class Program_weight_tensor_parameter_544: class Program_weight_tensor_parameter_545: name = "parameter_545" + original_name = "conv2d_1.w_0" shape = [16, 1, 3, 3] dtype = "float32" min_val = float("-1.85935") @@ -5942,6 +6488,7 @@ class Program_weight_tensor_parameter_545: class Program_weight_tensor_parameter_546: name = "parameter_546" + original_name = "batch_norm2d_0.b_0" shape = [16] dtype = "float32" min_val = float("0") @@ -5951,6 +6498,7 @@ class Program_weight_tensor_parameter_546: class Program_weight_tensor_parameter_547: name = "parameter_547" + original_name = "batch_norm2d_0.w_0" shape = [16] dtype = "float32" min_val = float("0") @@ -5960,6 +6508,7 @@ class Program_weight_tensor_parameter_547: class Program_weight_tensor_parameter_548: name = "parameter_548" + original_name = "batch_norm2d_0.w_2" shape = [16] dtype = "float32" min_val = float("0") @@ -5969,6 +6518,7 @@ class Program_weight_tensor_parameter_548: class Program_weight_tensor_parameter_549: name = "parameter_549" + original_name = "batch_norm2d_0.w_1" shape = [16] dtype = "float32" min_val = float("0") @@ -5978,6 +6528,7 @@ class Program_weight_tensor_parameter_549: class Program_weight_tensor_parameter_550: name = "parameter_550" + original_name = "conv2d_0.w_0" shape = [16, 3, 3, 3] dtype = "float32" min_val = float("-1.96324") diff --git a/paddle_samples/PaddleX/SeaFormer_large/subgraph_0/input_meta.py b/paddle_samples/PaddleX/SeaFormer_large/subgraph_0/input_meta.py index 791ffaf74..7289debb1 100644 --- a/paddle_samples/PaddleX/SeaFormer_large/subgraph_0/input_meta.py +++ b/paddle_samples/PaddleX/SeaFormer_large/subgraph_0/input_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_data_0: name = "data_0" + original_name = "param_36" shape = [1, 128, 16] dtype = "float32" min_val = float("-0.0616131") @@ -11,6 +12,7 @@ class Program_weight_tensor_data_0: class Program_weight_tensor_data_1: name = "data_1" + original_name = "param_37" shape = [1, 128, 16] dtype = "float32" min_val = float("-0.094255") @@ -22,6 +24,7 @@ class Program_weight_tensor_data_1: class Program_weight_tensor_data_2: name = "data_2" + original_name = "param_38" shape = [1, 128, 16] dtype = "float32" min_val = float("-0.0584204") @@ -33,6 +36,7 @@ class Program_weight_tensor_data_2: class Program_weight_tensor_data_3: name = "data_3" + original_name = "param_39" shape = [1, 128, 16] dtype = "float32" min_val = float("-0.0902215") @@ -44,6 +48,7 @@ class Program_weight_tensor_data_3: class Program_weight_tensor_data_4: name = "data_4" + original_name = "param_40" shape = [1, 128, 16] dtype = "float32" min_val = float("-0.0749156") @@ -55,6 +60,7 @@ class Program_weight_tensor_data_4: class Program_weight_tensor_data_5: name = "data_5" + original_name = "param_41" shape = [1, 128, 16] dtype = "float32" min_val = float("-0.0505354") @@ -66,6 +72,7 @@ class Program_weight_tensor_data_5: class Program_weight_tensor_data_6: name = "data_6" + original_name = "param_42" shape = [1, 128, 16] dtype = "float32" min_val = float("-0.0649039") @@ -77,6 +84,7 @@ class Program_weight_tensor_data_6: class Program_weight_tensor_data_7: name = "data_7" + original_name = "param_43" shape = [1, 128, 16] dtype = "float32" min_val = float("-0.0240999") @@ -88,6 +96,7 @@ class Program_weight_tensor_data_7: class Program_weight_tensor_data_8: name = "data_8" + original_name = "param_44" shape = [1, 128, 16] dtype = "float32" min_val = float("-0.0349523") @@ -99,6 +108,7 @@ class Program_weight_tensor_data_8: class Program_weight_tensor_data_9: name = "data_9" + original_name = "param_45" shape = [1, 128, 16] dtype = "float32" min_val = float("-0.0358725") @@ -110,6 +120,7 @@ class Program_weight_tensor_data_9: class Program_weight_tensor_data_10: name = "data_10" + original_name = "param_46" shape = [1, 128, 16] dtype = "float32" min_val = float("-0.0373391") @@ -121,6 +132,7 @@ class Program_weight_tensor_data_10: class Program_weight_tensor_data_11: name = "data_11" + original_name = "param_47" shape = [1, 128, 16] dtype = "float32" min_val = float("-0.0348016") @@ -132,6 +144,7 @@ class Program_weight_tensor_data_11: class Program_weight_tensor_data_12: name = "data_12" + original_name = "param_48" shape = [1, 160, 16] dtype = "float32" min_val = float("-0.221665") @@ -143,6 +156,7 @@ class Program_weight_tensor_data_12: class Program_weight_tensor_data_13: name = "data_13" + original_name = "param_49" shape = [1, 160, 16] dtype = "float32" min_val = float("-0.337055") @@ -154,6 +168,7 @@ class Program_weight_tensor_data_13: class Program_weight_tensor_data_14: name = "data_14" + original_name = "param_50" shape = [1, 160, 16] dtype = "float32" min_val = float("-0.1454") @@ -165,6 +180,7 @@ class Program_weight_tensor_data_14: class Program_weight_tensor_data_15: name = "data_15" + original_name = "param_51" shape = [1, 160, 16] dtype = "float32" min_val = float("-0.0628425") @@ -176,6 +192,7 @@ class Program_weight_tensor_data_15: class Program_weight_tensor_data_16: name = "data_16" + original_name = "param_52" shape = [1, 160, 16] dtype = "float32" min_val = float("-0.082528") @@ -187,6 +204,7 @@ class Program_weight_tensor_data_16: class Program_weight_tensor_data_17: name = "data_17" + original_name = "param_53" shape = [1, 160, 16] dtype = "float32" min_val = float("-0.0549528") @@ -198,6 +216,7 @@ class Program_weight_tensor_data_17: class Program_weight_tensor_data_18: name = "data_18" + original_name = "param_54" shape = [1, 160, 16] dtype = "float32" min_val = float("-0.164422") @@ -209,6 +228,7 @@ class Program_weight_tensor_data_18: class Program_weight_tensor_data_19: name = "data_19" + original_name = "param_55" shape = [1, 160, 16] dtype = "float32" min_val = float("-0.127076") @@ -220,6 +240,7 @@ class Program_weight_tensor_data_19: class Program_weight_tensor_data_20: name = "data_20" + original_name = "param_56" shape = [1, 160, 16] dtype = "float32" min_val = float("-0.0550395") @@ -231,6 +252,7 @@ class Program_weight_tensor_data_20: class Program_weight_tensor_data_21: name = "data_21" + original_name = "param_57" shape = [1, 160, 16] dtype = "float32" min_val = float("-0.0465389") @@ -242,6 +264,7 @@ class Program_weight_tensor_data_21: class Program_weight_tensor_data_22: name = "data_22" + original_name = "param_58" shape = [1, 160, 16] dtype = "float32" min_val = float("-0.0542174") @@ -253,6 +276,7 @@ class Program_weight_tensor_data_22: class Program_weight_tensor_data_23: name = "data_23" + original_name = "param_59" shape = [1, 160, 16] dtype = "float32" min_val = float("-0.0371573") @@ -264,6 +288,7 @@ class Program_weight_tensor_data_23: class Program_weight_tensor_data_24: name = "data_24" + original_name = "param_60" shape = [1, 192, 16] dtype = "float32" min_val = float("-0.16187") @@ -275,6 +300,7 @@ class Program_weight_tensor_data_24: class Program_weight_tensor_data_25: name = "data_25" + original_name = "param_61" shape = [1, 192, 16] dtype = "float32" min_val = float("-0.0736103") @@ -286,6 +312,7 @@ class Program_weight_tensor_data_25: class Program_weight_tensor_data_26: name = "data_26" + original_name = "param_62" shape = [1, 192, 16] dtype = "float32" min_val = float("-0.077627") @@ -297,6 +324,7 @@ class Program_weight_tensor_data_26: class Program_weight_tensor_data_27: name = "data_27" + original_name = "param_63" shape = [1, 192, 16] dtype = "float32" min_val = float("-0.0292871") @@ -308,6 +336,7 @@ class Program_weight_tensor_data_27: class Program_weight_tensor_data_28: name = "data_28" + original_name = "param_64" shape = [1, 192, 16] dtype = "float32" min_val = float("-0.0432462") @@ -319,6 +348,7 @@ class Program_weight_tensor_data_28: class Program_weight_tensor_data_29: name = "data_29" + original_name = "param_65" shape = [1, 192, 16] dtype = "float32" min_val = float("-0.0653837") @@ -330,6 +360,7 @@ class Program_weight_tensor_data_29: class Program_weight_tensor_data_30: name = "data_30" + original_name = "param_66" shape = [1, 192, 16] dtype = "float32" min_val = float("-0.0281936") @@ -341,6 +372,7 @@ class Program_weight_tensor_data_30: class Program_weight_tensor_data_31: name = "data_31" + original_name = "param_67" shape = [1, 192, 16] dtype = "float32" min_val = float("-0.0237196") @@ -352,6 +384,7 @@ class Program_weight_tensor_data_31: class Program_weight_tensor_data_32: name = "data_32" + original_name = "param_68" shape = [1, 192, 16] dtype = "float32" min_val = float("-0.0379655") @@ -363,6 +396,7 @@ class Program_weight_tensor_data_32: class Program_weight_tensor_data_33: name = "data_33" + original_name = "param_69" shape = [1, 192, 16] dtype = "float32" min_val = float("-0.0266609") @@ -374,6 +408,7 @@ class Program_weight_tensor_data_33: class Program_weight_tensor_data_34: name = "data_34" + original_name = "param_70" shape = [1, 192, 16] dtype = "float32" min_val = float("-0.0282759") @@ -385,6 +420,7 @@ class Program_weight_tensor_data_34: class Program_weight_tensor_data_35: name = "data_35" + original_name = "param_71" shape = [1, 192, 16] dtype = "float32" min_val = float("-0.0335932") @@ -396,6 +432,7 @@ class Program_weight_tensor_data_35: class Program_weight_tensor_data_36: name = "data_36" + original_name = "var_809" shape = [2, 3, 512, 512] dtype = "float32" min_val = float("-1.0") diff --git a/paddle_samples/PaddleX/SeaFormer_large/subgraph_0/weight_meta.py b/paddle_samples/PaddleX/SeaFormer_large/subgraph_0/weight_meta.py index 8ecd0d125..c9ebfcb44 100644 --- a/paddle_samples/PaddleX/SeaFormer_large/subgraph_0/weight_meta.py +++ b/paddle_samples/PaddleX/SeaFormer_large/subgraph_0/weight_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_parameter_0: name = "parameter_0" + original_name = "batch_norm2d_117.b_0" shape = [320] dtype = "float32" min_val = float("-0.229649") @@ -11,6 +12,7 @@ class Program_weight_tensor_parameter_0: class Program_weight_tensor_parameter_1: name = "parameter_1" + original_name = "batch_norm2d_117.w_0" shape = [320] dtype = "float32" min_val = float("0.480022") @@ -22,6 +24,7 @@ class Program_weight_tensor_parameter_1: class Program_weight_tensor_parameter_2: name = "parameter_2" + original_name = "batch_norm2d_117.w_2" shape = [320] dtype = "float32" min_val = float("0.00150201") @@ -33,6 +36,7 @@ class Program_weight_tensor_parameter_2: class Program_weight_tensor_parameter_3: name = "parameter_3" + original_name = "batch_norm2d_117.w_1" shape = [320] dtype = "float32" min_val = float("-0.436248") @@ -44,6 +48,7 @@ class Program_weight_tensor_parameter_3: class Program_weight_tensor_parameter_4: name = "parameter_4" + original_name = "conv2d_126.w_0" shape = [320, 1920, 1, 1] dtype = "float32" min_val = float("-0.247903") @@ -55,6 +60,7 @@ class Program_weight_tensor_parameter_4: class Program_weight_tensor_parameter_5: name = "parameter_5" + original_name = "conv2d_125.b_0" shape = [1920] dtype = "float32" min_val = float("-1.24306") @@ -66,6 +72,7 @@ class Program_weight_tensor_parameter_5: class Program_weight_tensor_parameter_6: name = "parameter_6" + original_name = "conv2d_125.w_0" shape = [1920, 1, 3, 3] dtype = "float32" min_val = float("-0.286341") @@ -77,6 +84,7 @@ class Program_weight_tensor_parameter_6: class Program_weight_tensor_parameter_7: name = "parameter_7" + original_name = "batch_norm2d_116.b_0" shape = [1920] dtype = "float32" min_val = float("-3.40089") @@ -88,6 +96,7 @@ class Program_weight_tensor_parameter_7: class Program_weight_tensor_parameter_8: name = "parameter_8" + original_name = "batch_norm2d_116.w_0" shape = [1920] dtype = "float32" min_val = float("0.234928") @@ -99,6 +108,7 @@ class Program_weight_tensor_parameter_8: class Program_weight_tensor_parameter_9: name = "parameter_9" + original_name = "batch_norm2d_116.w_2" shape = [1920] dtype = "float32" min_val = float("5.60519e-45") @@ -110,6 +120,7 @@ class Program_weight_tensor_parameter_9: class Program_weight_tensor_parameter_10: name = "parameter_10" + original_name = "batch_norm2d_116.w_1" shape = [1920] dtype = "float32" min_val = float("-0.25946") @@ -121,6 +132,7 @@ class Program_weight_tensor_parameter_10: class Program_weight_tensor_parameter_11: name = "parameter_11" + original_name = "conv2d_124.w_0" shape = [1920, 320, 1, 1] dtype = "float32" min_val = float("-0.300068") @@ -132,6 +144,7 @@ class Program_weight_tensor_parameter_11: class Program_weight_tensor_parameter_12: name = "parameter_12" + original_name = "batch_norm2d_111.b_0" shape = [320] dtype = "float32" min_val = float("-3.08087") @@ -143,6 +156,7 @@ class Program_weight_tensor_parameter_12: class Program_weight_tensor_parameter_13: name = "parameter_13" + original_name = "batch_norm2d_111.w_0" shape = [320] dtype = "float32" min_val = float("-2.07547") @@ -154,6 +168,7 @@ class Program_weight_tensor_parameter_13: class Program_weight_tensor_parameter_14: name = "parameter_14" + original_name = "batch_norm2d_111.w_2" shape = [320] dtype = "float32" min_val = float("0.0716942") @@ -165,6 +180,7 @@ class Program_weight_tensor_parameter_14: class Program_weight_tensor_parameter_15: name = "parameter_15" + original_name = "batch_norm2d_111.w_1" shape = [320] dtype = "float32" min_val = float("-2.40055") @@ -176,6 +192,7 @@ class Program_weight_tensor_parameter_15: class Program_weight_tensor_parameter_16: name = "parameter_16" + original_name = "conv2d_119.w_0" shape = [320, 384, 1, 1] dtype = "float32" min_val = float("-0.449482") @@ -187,6 +204,7 @@ class Program_weight_tensor_parameter_16: class Program_weight_tensor_parameter_17: name = "parameter_17" + original_name = "batch_norm2d_113.b_0" shape = [384] dtype = "float32" min_val = float("-0.909614") @@ -198,6 +216,7 @@ class Program_weight_tensor_parameter_17: class Program_weight_tensor_parameter_18: name = "parameter_18" + original_name = "batch_norm2d_113.w_0" shape = [384] dtype = "float32" min_val = float("-1.27275") @@ -209,6 +228,7 @@ class Program_weight_tensor_parameter_18: class Program_weight_tensor_parameter_19: name = "parameter_19" + original_name = "batch_norm2d_113.w_2" shape = [384] dtype = "float32" min_val = float("0.00040252") @@ -220,6 +240,7 @@ class Program_weight_tensor_parameter_19: class Program_weight_tensor_parameter_20: name = "parameter_20" + original_name = "batch_norm2d_113.w_1" shape = [384] dtype = "float32" min_val = float("-0.299079") @@ -231,6 +252,7 @@ class Program_weight_tensor_parameter_20: class Program_weight_tensor_parameter_21: name = "parameter_21" + original_name = "conv2d_121.w_0" shape = [384, 384, 1, 1] dtype = "float32" min_val = float("-0.332646") @@ -242,6 +264,7 @@ class Program_weight_tensor_parameter_21: class Program_weight_tensor_parameter_22: name = "parameter_22" + original_name = "batch_norm2d_112.b_0" shape = [384] dtype = "float32" min_val = float("-0.909631") @@ -253,6 +276,7 @@ class Program_weight_tensor_parameter_22: class Program_weight_tensor_parameter_23: name = "parameter_23" + original_name = "batch_norm2d_112.w_0" shape = [384] dtype = "float32" min_val = float("-1.56885") @@ -264,6 +288,7 @@ class Program_weight_tensor_parameter_23: class Program_weight_tensor_parameter_24: name = "parameter_24" + original_name = "batch_norm2d_112.w_2" shape = [384] dtype = "float32" min_val = float("0.000362023") @@ -275,6 +300,7 @@ class Program_weight_tensor_parameter_24: class Program_weight_tensor_parameter_25: name = "parameter_25" + original_name = "batch_norm2d_112.w_1" shape = [384] dtype = "float32" min_val = float("-0.59638") @@ -286,6 +312,7 @@ class Program_weight_tensor_parameter_25: class Program_weight_tensor_parameter_26: name = "parameter_26" + original_name = "conv2d_120.w_0" shape = [384, 384, 1, 1] dtype = "float32" min_val = float("-0.372986") @@ -297,6 +324,7 @@ class Program_weight_tensor_parameter_26: class Program_weight_tensor_parameter_27: name = "parameter_27" + original_name = "batch_norm2d_115.b_0" shape = [320] dtype = "float32" min_val = float("-5.95359") @@ -308,6 +336,7 @@ class Program_weight_tensor_parameter_27: class Program_weight_tensor_parameter_28: name = "parameter_28" + original_name = "batch_norm2d_115.w_0" shape = [320] dtype = "float32" min_val = float("1.5324") @@ -319,6 +348,7 @@ class Program_weight_tensor_parameter_28: class Program_weight_tensor_parameter_29: name = "parameter_29" + original_name = "batch_norm2d_115.w_2" shape = [320] dtype = "float32" min_val = float("0.0709667") @@ -330,6 +360,7 @@ class Program_weight_tensor_parameter_29: class Program_weight_tensor_parameter_30: name = "parameter_30" + original_name = "batch_norm2d_115.w_1" shape = [320] dtype = "float32" min_val = float("-0.395777") @@ -341,6 +372,7 @@ class Program_weight_tensor_parameter_30: class Program_weight_tensor_parameter_31: name = "parameter_31" + original_name = "conv2d_123.w_0" shape = [320, 768, 1, 1] dtype = "float32" min_val = float("-0.225338") @@ -352,6 +384,7 @@ class Program_weight_tensor_parameter_31: class Program_weight_tensor_parameter_32: name = "parameter_32" + original_name = "batch_norm2d_114.b_0" shape = [768] dtype = "float32" min_val = float("-2.377") @@ -363,6 +396,7 @@ class Program_weight_tensor_parameter_32: class Program_weight_tensor_parameter_33: name = "parameter_33" + original_name = "batch_norm2d_114.w_0" shape = [768] dtype = "float32" min_val = float("0.463022") @@ -374,6 +408,7 @@ class Program_weight_tensor_parameter_33: class Program_weight_tensor_parameter_34: name = "parameter_34" + original_name = "batch_norm2d_114.w_2" shape = [768] dtype = "float32" min_val = float("0.000258268") @@ -385,6 +420,7 @@ class Program_weight_tensor_parameter_34: class Program_weight_tensor_parameter_35: name = "parameter_35" + original_name = "batch_norm2d_114.w_1" shape = [768] dtype = "float32" min_val = float("-0.296376") @@ -396,6 +432,7 @@ class Program_weight_tensor_parameter_35: class Program_weight_tensor_parameter_36: name = "parameter_36" + original_name = "conv2d_122.w_0" shape = [768, 1, 3, 3] dtype = "float32" min_val = float("-0.20319") @@ -407,6 +444,7 @@ class Program_weight_tensor_parameter_36: class Program_weight_tensor_parameter_37: name = "parameter_37" + original_name = "batch_norm2d_110.b_0" shape = [384] dtype = "float32" min_val = float("-1.93787") @@ -418,6 +456,7 @@ class Program_weight_tensor_parameter_37: class Program_weight_tensor_parameter_38: name = "parameter_38" + original_name = "batch_norm2d_110.w_0" shape = [384] dtype = "float32" min_val = float("0.104152") @@ -429,6 +468,7 @@ class Program_weight_tensor_parameter_38: class Program_weight_tensor_parameter_39: name = "parameter_39" + original_name = "batch_norm2d_110.w_2" shape = [384] dtype = "float32" min_val = float("1.12705") @@ -440,6 +480,7 @@ class Program_weight_tensor_parameter_39: class Program_weight_tensor_parameter_40: name = "parameter_40" + original_name = "batch_norm2d_110.w_1" shape = [384] dtype = "float32" min_val = float("-1.89744") @@ -451,6 +492,7 @@ class Program_weight_tensor_parameter_40: class Program_weight_tensor_parameter_41: name = "parameter_41" + original_name = "conv2d_118.w_0" shape = [384, 320, 1, 1] dtype = "float32" min_val = float("-0.370272") @@ -462,6 +504,7 @@ class Program_weight_tensor_parameter_41: class Program_weight_tensor_parameter_42: name = "parameter_42" + original_name = "batch_norm2d_109.b_0" shape = [192] dtype = "float32" min_val = float("-0.400303") @@ -473,6 +516,7 @@ class Program_weight_tensor_parameter_42: class Program_weight_tensor_parameter_43: name = "parameter_43" + original_name = "batch_norm2d_109.w_0" shape = [192] dtype = "float32" min_val = float("0.102098") @@ -484,6 +528,7 @@ class Program_weight_tensor_parameter_43: class Program_weight_tensor_parameter_44: name = "parameter_44" + original_name = "batch_norm2d_109.w_2" shape = [192] dtype = "float32" min_val = float("0.591051") @@ -495,6 +540,7 @@ class Program_weight_tensor_parameter_44: class Program_weight_tensor_parameter_45: name = "parameter_45" + original_name = "batch_norm2d_109.w_1" shape = [192] dtype = "float32" min_val = float("-0.625438") @@ -506,6 +552,7 @@ class Program_weight_tensor_parameter_45: class Program_weight_tensor_parameter_46: name = "parameter_46" + original_name = "conv2d_117.w_0" shape = [192, 320, 1, 1] dtype = "float32" min_val = float("-0.269761") @@ -517,6 +564,7 @@ class Program_weight_tensor_parameter_46: class Program_weight_tensor_parameter_47: name = "parameter_47" + original_name = "batch_norm2d_108.b_0" shape = [192] dtype = "float32" min_val = float("-0.973273") @@ -528,6 +576,7 @@ class Program_weight_tensor_parameter_47: class Program_weight_tensor_parameter_48: name = "parameter_48" + original_name = "batch_norm2d_108.w_0" shape = [192] dtype = "float32" min_val = float("0.125323") @@ -539,6 +588,7 @@ class Program_weight_tensor_parameter_48: class Program_weight_tensor_parameter_49: name = "parameter_49" + original_name = "batch_norm2d_108.w_2" shape = [192] dtype = "float32" min_val = float("0.714769") @@ -550,6 +600,7 @@ class Program_weight_tensor_parameter_49: class Program_weight_tensor_parameter_50: name = "parameter_50" + original_name = "batch_norm2d_108.w_1" shape = [192] dtype = "float32" min_val = float("-1.19737") @@ -561,6 +612,7 @@ class Program_weight_tensor_parameter_50: class Program_weight_tensor_parameter_51: name = "parameter_51" + original_name = "conv2d_116.w_0" shape = [192, 320, 1, 1] dtype = "float32" min_val = float("-0.340901") @@ -572,6 +624,7 @@ class Program_weight_tensor_parameter_51: class Program_weight_tensor_parameter_52: name = "parameter_52" + original_name = "batch_norm2d_107.b_0" shape = [320] dtype = "float32" min_val = float("-0.442295") @@ -583,6 +636,7 @@ class Program_weight_tensor_parameter_52: class Program_weight_tensor_parameter_53: name = "parameter_53" + original_name = "batch_norm2d_107.w_0" shape = [320] dtype = "float32" min_val = float("0.731801") @@ -594,6 +648,7 @@ class Program_weight_tensor_parameter_53: class Program_weight_tensor_parameter_54: name = "parameter_54" + original_name = "batch_norm2d_107.w_2" shape = [320] dtype = "float32" min_val = float("0.00420873") @@ -605,6 +660,7 @@ class Program_weight_tensor_parameter_54: class Program_weight_tensor_parameter_55: name = "parameter_55" + original_name = "batch_norm2d_107.w_1" shape = [320] dtype = "float32" min_val = float("-0.278969") @@ -616,6 +672,7 @@ class Program_weight_tensor_parameter_55: class Program_weight_tensor_parameter_56: name = "parameter_56" + original_name = "conv2d_115.w_0" shape = [320, 1920, 1, 1] dtype = "float32" min_val = float("-0.40677") @@ -627,6 +684,7 @@ class Program_weight_tensor_parameter_56: class Program_weight_tensor_parameter_57: name = "parameter_57" + original_name = "conv2d_114.b_0" shape = [1920] dtype = "float32" min_val = float("-1.66024") @@ -638,6 +696,7 @@ class Program_weight_tensor_parameter_57: class Program_weight_tensor_parameter_58: name = "parameter_58" + original_name = "conv2d_114.w_0" shape = [1920, 1, 3, 3] dtype = "float32" min_val = float("-0.425072") @@ -649,6 +708,7 @@ class Program_weight_tensor_parameter_58: class Program_weight_tensor_parameter_59: name = "parameter_59" + original_name = "batch_norm2d_106.b_0" shape = [1920] dtype = "float32" min_val = float("-4.09065") @@ -660,6 +720,7 @@ class Program_weight_tensor_parameter_59: class Program_weight_tensor_parameter_60: name = "parameter_60" + original_name = "batch_norm2d_106.w_0" shape = [1920] dtype = "float32" min_val = float("0.406244") @@ -671,6 +732,7 @@ class Program_weight_tensor_parameter_60: class Program_weight_tensor_parameter_61: name = "parameter_61" + original_name = "batch_norm2d_106.w_2" shape = [1920] dtype = "float32" min_val = float("5.60519e-45") @@ -682,6 +744,7 @@ class Program_weight_tensor_parameter_61: class Program_weight_tensor_parameter_62: name = "parameter_62" + original_name = "batch_norm2d_106.w_1" shape = [1920] dtype = "float32" min_val = float("-1.30383") @@ -693,6 +756,7 @@ class Program_weight_tensor_parameter_62: class Program_weight_tensor_parameter_63: name = "parameter_63" + original_name = "conv2d_113.w_0" shape = [1920, 320, 1, 1] dtype = "float32" min_val = float("-0.444507") @@ -704,6 +768,7 @@ class Program_weight_tensor_parameter_63: class Program_weight_tensor_parameter_64: name = "parameter_64" + original_name = "batch_norm2d_101.b_0" shape = [320] dtype = "float32" min_val = float("-2.72908") @@ -715,6 +780,7 @@ class Program_weight_tensor_parameter_64: class Program_weight_tensor_parameter_65: name = "parameter_65" + original_name = "batch_norm2d_101.w_0" shape = [320] dtype = "float32" min_val = float("-2.90576") @@ -726,6 +792,7 @@ class Program_weight_tensor_parameter_65: class Program_weight_tensor_parameter_66: name = "parameter_66" + original_name = "batch_norm2d_101.w_2" shape = [320] dtype = "float32" min_val = float("0.0572597") @@ -737,6 +804,7 @@ class Program_weight_tensor_parameter_66: class Program_weight_tensor_parameter_67: name = "parameter_67" + original_name = "batch_norm2d_101.w_1" shape = [320] dtype = "float32" min_val = float("-0.705983") @@ -748,6 +816,7 @@ class Program_weight_tensor_parameter_67: class Program_weight_tensor_parameter_68: name = "parameter_68" + original_name = "conv2d_108.w_0" shape = [320, 384, 1, 1] dtype = "float32" min_val = float("-0.292427") @@ -759,6 +828,7 @@ class Program_weight_tensor_parameter_68: class Program_weight_tensor_parameter_69: name = "parameter_69" + original_name = "batch_norm2d_103.b_0" shape = [384] dtype = "float32" min_val = float("-1.15052") @@ -770,6 +840,7 @@ class Program_weight_tensor_parameter_69: class Program_weight_tensor_parameter_70: name = "parameter_70" + original_name = "batch_norm2d_103.w_0" shape = [384] dtype = "float32" min_val = float("-1.65349") @@ -781,6 +852,7 @@ class Program_weight_tensor_parameter_70: class Program_weight_tensor_parameter_71: name = "parameter_71" + original_name = "batch_norm2d_103.w_2" shape = [384] dtype = "float32" min_val = float("0.000156281") @@ -792,6 +864,7 @@ class Program_weight_tensor_parameter_71: class Program_weight_tensor_parameter_72: name = "parameter_72" + original_name = "batch_norm2d_103.w_1" shape = [384] dtype = "float32" min_val = float("-0.29911") @@ -803,6 +876,7 @@ class Program_weight_tensor_parameter_72: class Program_weight_tensor_parameter_73: name = "parameter_73" + original_name = "conv2d_110.w_0" shape = [384, 384, 1, 1] dtype = "float32" min_val = float("-0.30009") @@ -814,6 +888,7 @@ class Program_weight_tensor_parameter_73: class Program_weight_tensor_parameter_74: name = "parameter_74" + original_name = "batch_norm2d_102.b_0" shape = [384] dtype = "float32" min_val = float("-1.15049") @@ -825,6 +900,7 @@ class Program_weight_tensor_parameter_74: class Program_weight_tensor_parameter_75: name = "parameter_75" + original_name = "batch_norm2d_102.w_0" shape = [384] dtype = "float32" min_val = float("-1.80157") @@ -836,6 +912,7 @@ class Program_weight_tensor_parameter_75: class Program_weight_tensor_parameter_76: name = "parameter_76" + original_name = "batch_norm2d_102.w_2" shape = [384] dtype = "float32" min_val = float("9.5226e-05") @@ -847,6 +924,7 @@ class Program_weight_tensor_parameter_76: class Program_weight_tensor_parameter_77: name = "parameter_77" + original_name = "batch_norm2d_102.w_1" shape = [384] dtype = "float32" min_val = float("-0.262222") @@ -858,6 +936,7 @@ class Program_weight_tensor_parameter_77: class Program_weight_tensor_parameter_78: name = "parameter_78" + original_name = "conv2d_109.w_0" shape = [384, 384, 1, 1] dtype = "float32" min_val = float("-0.24735") @@ -869,6 +948,7 @@ class Program_weight_tensor_parameter_78: class Program_weight_tensor_parameter_79: name = "parameter_79" + original_name = "batch_norm2d_105.b_0" shape = [320] dtype = "float32" min_val = float("-4.54835") @@ -880,6 +960,7 @@ class Program_weight_tensor_parameter_79: class Program_weight_tensor_parameter_80: name = "parameter_80" + original_name = "batch_norm2d_105.w_0" shape = [320] dtype = "float32" min_val = float("1.27612") @@ -891,6 +972,7 @@ class Program_weight_tensor_parameter_80: class Program_weight_tensor_parameter_81: name = "parameter_81" + original_name = "batch_norm2d_105.w_2" shape = [320] dtype = "float32" min_val = float("0.0125614") @@ -902,6 +984,7 @@ class Program_weight_tensor_parameter_81: class Program_weight_tensor_parameter_82: name = "parameter_82" + original_name = "batch_norm2d_105.w_1" shape = [320] dtype = "float32" min_val = float("-0.43795") @@ -913,6 +996,7 @@ class Program_weight_tensor_parameter_82: class Program_weight_tensor_parameter_83: name = "parameter_83" + original_name = "conv2d_112.w_0" shape = [320, 768, 1, 1] dtype = "float32" min_val = float("-0.364806") @@ -924,6 +1008,7 @@ class Program_weight_tensor_parameter_83: class Program_weight_tensor_parameter_84: name = "parameter_84" + original_name = "batch_norm2d_104.b_0" shape = [768] dtype = "float32" min_val = float("-3.65284") @@ -935,6 +1020,7 @@ class Program_weight_tensor_parameter_84: class Program_weight_tensor_parameter_85: name = "parameter_85" + original_name = "batch_norm2d_104.w_0" shape = [768] dtype = "float32" min_val = float("0.274258") @@ -946,6 +1032,7 @@ class Program_weight_tensor_parameter_85: class Program_weight_tensor_parameter_86: name = "parameter_86" + original_name = "batch_norm2d_104.w_2" shape = [768] dtype = "float32" min_val = float("0.000411848") @@ -957,6 +1044,7 @@ class Program_weight_tensor_parameter_86: class Program_weight_tensor_parameter_87: name = "parameter_87" + original_name = "batch_norm2d_104.w_1" shape = [768] dtype = "float32" min_val = float("-1.20943") @@ -968,6 +1056,7 @@ class Program_weight_tensor_parameter_87: class Program_weight_tensor_parameter_88: name = "parameter_88" + original_name = "conv2d_111.w_0" shape = [768, 1, 3, 3] dtype = "float32" min_val = float("-0.370888") @@ -979,6 +1068,7 @@ class Program_weight_tensor_parameter_88: class Program_weight_tensor_parameter_89: name = "parameter_89" + original_name = "batch_norm2d_100.b_0" shape = [384] dtype = "float32" min_val = float("-2.50715") @@ -990,6 +1080,7 @@ class Program_weight_tensor_parameter_89: class Program_weight_tensor_parameter_90: name = "parameter_90" + original_name = "batch_norm2d_100.w_0" shape = [384] dtype = "float32" min_val = float("0.185602") @@ -1001,6 +1092,7 @@ class Program_weight_tensor_parameter_90: class Program_weight_tensor_parameter_91: name = "parameter_91" + original_name = "batch_norm2d_100.w_2" shape = [384] dtype = "float32" min_val = float("1.37728") @@ -1012,6 +1104,7 @@ class Program_weight_tensor_parameter_91: class Program_weight_tensor_parameter_92: name = "parameter_92" + original_name = "batch_norm2d_100.w_1" shape = [384] dtype = "float32" min_val = float("-3.2603") @@ -1023,6 +1116,7 @@ class Program_weight_tensor_parameter_92: class Program_weight_tensor_parameter_93: name = "parameter_93" + original_name = "conv2d_107.w_0" shape = [384, 320, 1, 1] dtype = "float32" min_val = float("-0.606176") @@ -1034,6 +1128,7 @@ class Program_weight_tensor_parameter_93: class Program_weight_tensor_parameter_94: name = "parameter_94" + original_name = "batch_norm2d_99.b_0" shape = [192] dtype = "float32" min_val = float("-0.563183") @@ -1045,6 +1140,7 @@ class Program_weight_tensor_parameter_94: class Program_weight_tensor_parameter_95: name = "parameter_95" + original_name = "batch_norm2d_99.w_0" shape = [192] dtype = "float32" min_val = float("-0.155222") @@ -1056,6 +1152,7 @@ class Program_weight_tensor_parameter_95: class Program_weight_tensor_parameter_96: name = "parameter_96" + original_name = "batch_norm2d_99.w_2" shape = [192] dtype = "float32" min_val = float("0.899757") @@ -1067,6 +1164,7 @@ class Program_weight_tensor_parameter_96: class Program_weight_tensor_parameter_97: name = "parameter_97" + original_name = "batch_norm2d_99.w_1" shape = [192] dtype = "float32" min_val = float("-1.46227") @@ -1078,6 +1176,7 @@ class Program_weight_tensor_parameter_97: class Program_weight_tensor_parameter_98: name = "parameter_98" + original_name = "conv2d_106.w_0" shape = [192, 320, 1, 1] dtype = "float32" min_val = float("-0.2472") @@ -1089,6 +1188,7 @@ class Program_weight_tensor_parameter_98: class Program_weight_tensor_parameter_99: name = "parameter_99" + original_name = "batch_norm2d_98.b_0" shape = [192] dtype = "float32" min_val = float("-2.34953") @@ -1100,6 +1200,7 @@ class Program_weight_tensor_parameter_99: class Program_weight_tensor_parameter_100: name = "parameter_100" + original_name = "batch_norm2d_98.w_0" shape = [192] dtype = "float32" min_val = float("0.0985761") @@ -1111,6 +1212,7 @@ class Program_weight_tensor_parameter_100: class Program_weight_tensor_parameter_101: name = "parameter_101" + original_name = "batch_norm2d_98.w_2" shape = [192] dtype = "float32" min_val = float("0.965359") @@ -1122,6 +1224,7 @@ class Program_weight_tensor_parameter_101: class Program_weight_tensor_parameter_102: name = "parameter_102" + original_name = "batch_norm2d_98.w_1" shape = [192] dtype = "float32" min_val = float("-1.04182") @@ -1133,6 +1236,7 @@ class Program_weight_tensor_parameter_102: class Program_weight_tensor_parameter_103: name = "parameter_103" + original_name = "conv2d_105.w_0" shape = [192, 320, 1, 1] dtype = "float32" min_val = float("-0.324764") @@ -1144,6 +1248,7 @@ class Program_weight_tensor_parameter_103: class Program_weight_tensor_parameter_104: name = "parameter_104" + original_name = "batch_norm2d_97.b_0" shape = [320] dtype = "float32" min_val = float("-0.576683") @@ -1155,6 +1260,7 @@ class Program_weight_tensor_parameter_104: class Program_weight_tensor_parameter_105: name = "parameter_105" + original_name = "batch_norm2d_97.w_0" shape = [320] dtype = "float32" min_val = float("0.514513") @@ -1166,6 +1272,7 @@ class Program_weight_tensor_parameter_105: class Program_weight_tensor_parameter_106: name = "parameter_106" + original_name = "batch_norm2d_97.w_2" shape = [320] dtype = "float32" min_val = float("0.00502788") @@ -1177,6 +1284,7 @@ class Program_weight_tensor_parameter_106: class Program_weight_tensor_parameter_107: name = "parameter_107" + original_name = "batch_norm2d_97.w_1" shape = [320] dtype = "float32" min_val = float("-0.755885") @@ -1188,6 +1296,7 @@ class Program_weight_tensor_parameter_107: class Program_weight_tensor_parameter_108: name = "parameter_108" + original_name = "conv2d_104.w_0" shape = [320, 1920, 1, 1] dtype = "float32" min_val = float("-0.523934") @@ -1199,6 +1308,7 @@ class Program_weight_tensor_parameter_108: class Program_weight_tensor_parameter_109: name = "parameter_109" + original_name = "conv2d_103.b_0" shape = [1920] dtype = "float32" min_val = float("-2.1248") @@ -1210,6 +1320,7 @@ class Program_weight_tensor_parameter_109: class Program_weight_tensor_parameter_110: name = "parameter_110" + original_name = "conv2d_103.w_0" shape = [1920, 1, 3, 3] dtype = "float32" min_val = float("-0.476586") @@ -1221,6 +1332,7 @@ class Program_weight_tensor_parameter_110: class Program_weight_tensor_parameter_111: name = "parameter_111" + original_name = "batch_norm2d_96.b_0" shape = [1920] dtype = "float32" min_val = float("-4.42827") @@ -1232,6 +1344,7 @@ class Program_weight_tensor_parameter_111: class Program_weight_tensor_parameter_112: name = "parameter_112" + original_name = "batch_norm2d_96.w_0" shape = [1920] dtype = "float32" min_val = float("0.240294") @@ -1243,6 +1356,7 @@ class Program_weight_tensor_parameter_112: class Program_weight_tensor_parameter_113: name = "parameter_113" + original_name = "batch_norm2d_96.w_2" shape = [1920] dtype = "float32" min_val = float("0.454435") @@ -1254,6 +1368,7 @@ class Program_weight_tensor_parameter_113: class Program_weight_tensor_parameter_114: name = "parameter_114" + original_name = "batch_norm2d_96.w_1" shape = [1920] dtype = "float32" min_val = float("-2.16696") @@ -1265,6 +1380,7 @@ class Program_weight_tensor_parameter_114: class Program_weight_tensor_parameter_115: name = "parameter_115" + original_name = "conv2d_102.w_0" shape = [1920, 320, 1, 1] dtype = "float32" min_val = float("-0.355105") @@ -1276,6 +1392,7 @@ class Program_weight_tensor_parameter_115: class Program_weight_tensor_parameter_116: name = "parameter_116" + original_name = "batch_norm2d_91.b_0" shape = [320] dtype = "float32" min_val = float("-3.50114") @@ -1287,6 +1404,7 @@ class Program_weight_tensor_parameter_116: class Program_weight_tensor_parameter_117: name = "parameter_117" + original_name = "batch_norm2d_91.w_0" shape = [320] dtype = "float32" min_val = float("-2.59606") @@ -1298,6 +1416,7 @@ class Program_weight_tensor_parameter_117: class Program_weight_tensor_parameter_118: name = "parameter_118" + original_name = "batch_norm2d_91.w_2" shape = [320] dtype = "float32" min_val = float("0.296766") @@ -1309,6 +1428,7 @@ class Program_weight_tensor_parameter_118: class Program_weight_tensor_parameter_119: name = "parameter_119" + original_name = "batch_norm2d_91.w_1" shape = [320] dtype = "float32" min_val = float("-2.33442") @@ -1320,6 +1440,7 @@ class Program_weight_tensor_parameter_119: class Program_weight_tensor_parameter_120: name = "parameter_120" + original_name = "conv2d_97.w_0" shape = [320, 384, 1, 1] dtype = "float32" min_val = float("-0.46812") @@ -1331,6 +1452,7 @@ class Program_weight_tensor_parameter_120: class Program_weight_tensor_parameter_121: name = "parameter_121" + original_name = "batch_norm2d_93.b_0" shape = [384] dtype = "float32" min_val = float("-1.45417") @@ -1342,6 +1464,7 @@ class Program_weight_tensor_parameter_121: class Program_weight_tensor_parameter_122: name = "parameter_122" + original_name = "batch_norm2d_93.w_0" shape = [384] dtype = "float32" min_val = float("-1.38557") @@ -1353,6 +1476,7 @@ class Program_weight_tensor_parameter_122: class Program_weight_tensor_parameter_123: name = "parameter_123" + original_name = "batch_norm2d_93.w_2" shape = [384] dtype = "float32" min_val = float("0.00376301") @@ -1364,6 +1488,7 @@ class Program_weight_tensor_parameter_123: class Program_weight_tensor_parameter_124: name = "parameter_124" + original_name = "batch_norm2d_93.w_1" shape = [384] dtype = "float32" min_val = float("-0.425901") @@ -1375,6 +1500,7 @@ class Program_weight_tensor_parameter_124: class Program_weight_tensor_parameter_125: name = "parameter_125" + original_name = "conv2d_99.w_0" shape = [384, 384, 1, 1] dtype = "float32" min_val = float("-0.243521") @@ -1386,6 +1512,7 @@ class Program_weight_tensor_parameter_125: class Program_weight_tensor_parameter_126: name = "parameter_126" + original_name = "batch_norm2d_92.b_0" shape = [384] dtype = "float32" min_val = float("-1.45419") @@ -1397,6 +1524,7 @@ class Program_weight_tensor_parameter_126: class Program_weight_tensor_parameter_127: name = "parameter_127" + original_name = "batch_norm2d_92.w_0" shape = [384] dtype = "float32" min_val = float("-1.66169") @@ -1408,6 +1536,7 @@ class Program_weight_tensor_parameter_127: class Program_weight_tensor_parameter_128: name = "parameter_128" + original_name = "batch_norm2d_92.w_2" shape = [384] dtype = "float32" min_val = float("0.00453924") @@ -1419,6 +1548,7 @@ class Program_weight_tensor_parameter_128: class Program_weight_tensor_parameter_129: name = "parameter_129" + original_name = "batch_norm2d_92.w_1" shape = [384] dtype = "float32" min_val = float("-0.676337") @@ -1430,6 +1560,7 @@ class Program_weight_tensor_parameter_129: class Program_weight_tensor_parameter_130: name = "parameter_130" + original_name = "conv2d_98.w_0" shape = [384, 384, 1, 1] dtype = "float32" min_val = float("-0.481495") @@ -1441,6 +1572,7 @@ class Program_weight_tensor_parameter_130: class Program_weight_tensor_parameter_131: name = "parameter_131" + original_name = "batch_norm2d_95.b_0" shape = [320] dtype = "float32" min_val = float("-7.55241") @@ -1452,6 +1584,7 @@ class Program_weight_tensor_parameter_131: class Program_weight_tensor_parameter_132: name = "parameter_132" + original_name = "batch_norm2d_95.w_0" shape = [320] dtype = "float32" min_val = float("0.645185") @@ -1463,6 +1596,7 @@ class Program_weight_tensor_parameter_132: class Program_weight_tensor_parameter_133: name = "parameter_133" + original_name = "batch_norm2d_95.w_2" shape = [320] dtype = "float32" min_val = float("0.174985") @@ -1474,6 +1608,7 @@ class Program_weight_tensor_parameter_133: class Program_weight_tensor_parameter_134: name = "parameter_134" + original_name = "batch_norm2d_95.w_1" shape = [320] dtype = "float32" min_val = float("-3.09145") @@ -1485,6 +1620,7 @@ class Program_weight_tensor_parameter_134: class Program_weight_tensor_parameter_135: name = "parameter_135" + original_name = "conv2d_101.w_0" shape = [320, 768, 1, 1] dtype = "float32" min_val = float("-0.569815") @@ -1496,6 +1632,7 @@ class Program_weight_tensor_parameter_135: class Program_weight_tensor_parameter_136: name = "parameter_136" + original_name = "batch_norm2d_94.b_0" shape = [768] dtype = "float32" min_val = float("-3.78401") @@ -1507,6 +1644,7 @@ class Program_weight_tensor_parameter_136: class Program_weight_tensor_parameter_137: name = "parameter_137" + original_name = "batch_norm2d_94.w_0" shape = [768] dtype = "float32" min_val = float("0.472788") @@ -1518,6 +1656,7 @@ class Program_weight_tensor_parameter_137: class Program_weight_tensor_parameter_138: name = "parameter_138" + original_name = "batch_norm2d_94.w_2" shape = [768] dtype = "float32" min_val = float("0.000426996") @@ -1529,6 +1668,7 @@ class Program_weight_tensor_parameter_138: class Program_weight_tensor_parameter_139: name = "parameter_139" + original_name = "batch_norm2d_94.w_1" shape = [768] dtype = "float32" min_val = float("-0.953625") @@ -1540,6 +1680,7 @@ class Program_weight_tensor_parameter_139: class Program_weight_tensor_parameter_140: name = "parameter_140" + original_name = "conv2d_100.w_0" shape = [768, 1, 3, 3] dtype = "float32" min_val = float("-0.348618") @@ -1551,6 +1692,7 @@ class Program_weight_tensor_parameter_140: class Program_weight_tensor_parameter_141: name = "parameter_141" + original_name = "batch_norm2d_90.b_0" shape = [384] dtype = "float32" min_val = float("-3.14659") @@ -1562,6 +1704,7 @@ class Program_weight_tensor_parameter_141: class Program_weight_tensor_parameter_142: name = "parameter_142" + original_name = "batch_norm2d_90.w_0" shape = [384] dtype = "float32" min_val = float("0.364746") @@ -1573,6 +1716,7 @@ class Program_weight_tensor_parameter_142: class Program_weight_tensor_parameter_143: name = "parameter_143" + original_name = "batch_norm2d_90.w_2" shape = [384] dtype = "float32" min_val = float("0.814647") @@ -1584,6 +1728,7 @@ class Program_weight_tensor_parameter_143: class Program_weight_tensor_parameter_144: name = "parameter_144" + original_name = "batch_norm2d_90.w_1" shape = [384] dtype = "float32" min_val = float("-1.3355") @@ -1595,6 +1740,7 @@ class Program_weight_tensor_parameter_144: class Program_weight_tensor_parameter_145: name = "parameter_145" + original_name = "conv2d_96.w_0" shape = [384, 320, 1, 1] dtype = "float32" min_val = float("-0.566185") @@ -1606,6 +1752,7 @@ class Program_weight_tensor_parameter_145: class Program_weight_tensor_parameter_146: name = "parameter_146" + original_name = "batch_norm2d_89.b_0" shape = [192] dtype = "float32" min_val = float("-1.23507") @@ -1617,6 +1764,7 @@ class Program_weight_tensor_parameter_146: class Program_weight_tensor_parameter_147: name = "parameter_147" + original_name = "batch_norm2d_89.w_0" shape = [192] dtype = "float32" min_val = float("0.0745926") @@ -1628,6 +1776,7 @@ class Program_weight_tensor_parameter_147: class Program_weight_tensor_parameter_148: name = "parameter_148" + original_name = "batch_norm2d_89.w_2" shape = [192] dtype = "float32" min_val = float("0.59513") @@ -1639,6 +1788,7 @@ class Program_weight_tensor_parameter_148: class Program_weight_tensor_parameter_149: name = "parameter_149" + original_name = "batch_norm2d_89.w_1" shape = [192] dtype = "float32" min_val = float("-0.553634") @@ -1650,6 +1800,7 @@ class Program_weight_tensor_parameter_149: class Program_weight_tensor_parameter_150: name = "parameter_150" + original_name = "conv2d_95.w_0" shape = [192, 320, 1, 1] dtype = "float32" min_val = float("-0.228877") @@ -1661,6 +1812,7 @@ class Program_weight_tensor_parameter_150: class Program_weight_tensor_parameter_151: name = "parameter_151" + original_name = "batch_norm2d_88.b_0" shape = [192] dtype = "float32" min_val = float("-3.18293") @@ -1672,6 +1824,7 @@ class Program_weight_tensor_parameter_151: class Program_weight_tensor_parameter_152: name = "parameter_152" + original_name = "batch_norm2d_88.w_0" shape = [192] dtype = "float32" min_val = float("0.116674") @@ -1683,6 +1836,7 @@ class Program_weight_tensor_parameter_152: class Program_weight_tensor_parameter_153: name = "parameter_153" + original_name = "batch_norm2d_88.w_2" shape = [192] dtype = "float32" min_val = float("0.642785") @@ -1694,6 +1848,7 @@ class Program_weight_tensor_parameter_153: class Program_weight_tensor_parameter_154: name = "parameter_154" + original_name = "batch_norm2d_88.w_1" shape = [192] dtype = "float32" min_val = float("-0.526082") @@ -1705,6 +1860,7 @@ class Program_weight_tensor_parameter_154: class Program_weight_tensor_parameter_155: name = "parameter_155" + original_name = "conv2d_94.w_0" shape = [192, 320, 1, 1] dtype = "float32" min_val = float("-0.375326") @@ -1716,6 +1872,7 @@ class Program_weight_tensor_parameter_155: class Program_weight_tensor_parameter_156: name = "parameter_156" + original_name = "batch_norm2d_27.b_0" shape = [320] dtype = "float32" min_val = float("-0.587434") @@ -1727,6 +1884,7 @@ class Program_weight_tensor_parameter_156: class Program_weight_tensor_parameter_157: name = "parameter_157" + original_name = "batch_norm2d_27.w_0" shape = [320] dtype = "float32" min_val = float("1.01605") @@ -1738,6 +1896,7 @@ class Program_weight_tensor_parameter_157: class Program_weight_tensor_parameter_158: name = "parameter_158" + original_name = "batch_norm2d_27.w_2" shape = [320] dtype = "float32" min_val = float("6.03046") @@ -1749,6 +1908,7 @@ class Program_weight_tensor_parameter_158: class Program_weight_tensor_parameter_159: name = "parameter_159" + original_name = "batch_norm2d_27.w_1" shape = [320] dtype = "float32" min_val = float("-7.76247") @@ -1760,6 +1920,7 @@ class Program_weight_tensor_parameter_159: class Program_weight_tensor_parameter_160: name = "parameter_160" + original_name = "conv2d_27.w_0" shape = [320, 1536, 1, 1] dtype = "float32" min_val = float("-0.622795") @@ -1771,6 +1932,7 @@ class Program_weight_tensor_parameter_160: class Program_weight_tensor_parameter_161: name = "parameter_161" + original_name = "batch_norm2d_26.b_0" shape = [1536] dtype = "float32" min_val = float("-4.14977") @@ -1782,6 +1944,7 @@ class Program_weight_tensor_parameter_161: class Program_weight_tensor_parameter_162: name = "parameter_162" + original_name = "batch_norm2d_26.w_0" shape = [1536] dtype = "float32" min_val = float("0.940642") @@ -1793,6 +1956,7 @@ class Program_weight_tensor_parameter_162: class Program_weight_tensor_parameter_163: name = "parameter_163" + original_name = "batch_norm2d_26.w_2" shape = [1536] dtype = "float32" min_val = float("5.60519e-45") @@ -1804,6 +1968,7 @@ class Program_weight_tensor_parameter_163: class Program_weight_tensor_parameter_164: name = "parameter_164" + original_name = "batch_norm2d_26.w_1" shape = [1536] dtype = "float32" min_val = float("-2.76753") @@ -1815,6 +1980,7 @@ class Program_weight_tensor_parameter_164: class Program_weight_tensor_parameter_165: name = "parameter_165" + original_name = "conv2d_26.w_0" shape = [1536, 1, 3, 3] dtype = "float32" min_val = float("-0.595182") @@ -1826,6 +1992,7 @@ class Program_weight_tensor_parameter_165: class Program_weight_tensor_parameter_166: name = "parameter_166" + original_name = "batch_norm2d_25.b_0" shape = [1536] dtype = "float32" min_val = float("-3.05364") @@ -1837,6 +2004,7 @@ class Program_weight_tensor_parameter_166: class Program_weight_tensor_parameter_167: name = "parameter_167" + original_name = "batch_norm2d_25.w_0" shape = [1536] dtype = "float32" min_val = float("-1.53986") @@ -1848,6 +2016,7 @@ class Program_weight_tensor_parameter_167: class Program_weight_tensor_parameter_168: name = "parameter_168" + original_name = "batch_norm2d_25.w_2" shape = [1536] dtype = "float32" min_val = float("5.60519e-45") @@ -1859,6 +2028,7 @@ class Program_weight_tensor_parameter_168: class Program_weight_tensor_parameter_169: name = "parameter_169" + original_name = "batch_norm2d_25.w_1" shape = [1536] dtype = "float32" min_val = float("-5.79975") @@ -1870,6 +2040,7 @@ class Program_weight_tensor_parameter_169: class Program_weight_tensor_parameter_170: name = "parameter_170" + original_name = "conv2d_25.w_0" shape = [1536, 256, 1, 1] dtype = "float32" min_val = float("-0.766066") @@ -1881,6 +2052,7 @@ class Program_weight_tensor_parameter_170: class Program_weight_tensor_parameter_171: name = "parameter_171" + original_name = "batch_norm2d_87.b_0" shape = [256] dtype = "float32" min_val = float("-0.610275") @@ -1892,6 +2064,7 @@ class Program_weight_tensor_parameter_171: class Program_weight_tensor_parameter_172: name = "parameter_172" + original_name = "batch_norm2d_87.w_0" shape = [256] dtype = "float32" min_val = float("-0.181896") @@ -1903,6 +2076,7 @@ class Program_weight_tensor_parameter_172: class Program_weight_tensor_parameter_173: name = "parameter_173" + original_name = "batch_norm2d_87.w_2" shape = [256] dtype = "float32" min_val = float("0.000653106") @@ -1914,6 +2088,7 @@ class Program_weight_tensor_parameter_173: class Program_weight_tensor_parameter_174: name = "parameter_174" + original_name = "batch_norm2d_87.w_1" shape = [256] dtype = "float32" min_val = float("-0.260646") @@ -1925,6 +2100,7 @@ class Program_weight_tensor_parameter_174: class Program_weight_tensor_parameter_175: name = "parameter_175" + original_name = "conv2d_93.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.375999") @@ -1936,6 +2112,7 @@ class Program_weight_tensor_parameter_175: class Program_weight_tensor_parameter_176: name = "parameter_176" + original_name = "conv2d_92.b_0" shape = [1024] dtype = "float32" min_val = float("-1.72098") @@ -1947,6 +2124,7 @@ class Program_weight_tensor_parameter_176: class Program_weight_tensor_parameter_177: name = "parameter_177" + original_name = "conv2d_92.w_0" shape = [1024, 1, 3, 3] dtype = "float32" min_val = float("-0.492833") @@ -1958,6 +2136,7 @@ class Program_weight_tensor_parameter_177: class Program_weight_tensor_parameter_178: name = "parameter_178" + original_name = "batch_norm2d_86.b_0" shape = [1024] dtype = "float32" min_val = float("-3.02658") @@ -1969,6 +2148,7 @@ class Program_weight_tensor_parameter_178: class Program_weight_tensor_parameter_179: name = "parameter_179" + original_name = "batch_norm2d_86.w_0" shape = [1024] dtype = "float32" min_val = float("0.238288") @@ -1980,6 +2160,7 @@ class Program_weight_tensor_parameter_179: class Program_weight_tensor_parameter_180: name = "parameter_180" + original_name = "batch_norm2d_86.w_2" shape = [1024] dtype = "float32" min_val = float("5.60519e-45") @@ -1991,6 +2172,7 @@ class Program_weight_tensor_parameter_180: class Program_weight_tensor_parameter_181: name = "parameter_181" + original_name = "batch_norm2d_86.w_1" shape = [1024] dtype = "float32" min_val = float("-7.15995") @@ -2002,6 +2184,7 @@ class Program_weight_tensor_parameter_181: class Program_weight_tensor_parameter_182: name = "parameter_182" + original_name = "conv2d_91.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.31778") @@ -2013,6 +2196,7 @@ class Program_weight_tensor_parameter_182: class Program_weight_tensor_parameter_183: name = "parameter_183" + original_name = "batch_norm2d_81.b_0" shape = [256] dtype = "float32" min_val = float("-3.14208") @@ -2024,6 +2208,7 @@ class Program_weight_tensor_parameter_183: class Program_weight_tensor_parameter_184: name = "parameter_184" + original_name = "batch_norm2d_81.w_0" shape = [256] dtype = "float32" min_val = float("-2.9409") @@ -2035,6 +2220,7 @@ class Program_weight_tensor_parameter_184: class Program_weight_tensor_parameter_185: name = "parameter_185" + original_name = "batch_norm2d_81.w_2" shape = [256] dtype = "float32" min_val = float("0.0100301") @@ -2046,6 +2232,7 @@ class Program_weight_tensor_parameter_185: class Program_weight_tensor_parameter_186: name = "parameter_186" + original_name = "batch_norm2d_81.w_1" shape = [256] dtype = "float32" min_val = float("-0.641803") @@ -2057,6 +2244,7 @@ class Program_weight_tensor_parameter_186: class Program_weight_tensor_parameter_187: name = "parameter_187" + original_name = "conv2d_86.w_0" shape = [256, 320, 1, 1] dtype = "float32" min_val = float("-0.346897") @@ -2068,6 +2256,7 @@ class Program_weight_tensor_parameter_187: class Program_weight_tensor_parameter_188: name = "parameter_188" + original_name = "batch_norm2d_83.b_0" shape = [320] dtype = "float32" min_val = float("-2.02549") @@ -2079,6 +2268,7 @@ class Program_weight_tensor_parameter_188: class Program_weight_tensor_parameter_189: name = "parameter_189" + original_name = "batch_norm2d_83.w_0" shape = [320] dtype = "float32" min_val = float("-1.11158") @@ -2090,6 +2280,7 @@ class Program_weight_tensor_parameter_189: class Program_weight_tensor_parameter_190: name = "parameter_190" + original_name = "batch_norm2d_83.w_2" shape = [320] dtype = "float32" min_val = float("0.000138835") @@ -2101,6 +2292,7 @@ class Program_weight_tensor_parameter_190: class Program_weight_tensor_parameter_191: name = "parameter_191" + original_name = "batch_norm2d_83.w_1" shape = [320] dtype = "float32" min_val = float("-0.425027") @@ -2112,6 +2304,7 @@ class Program_weight_tensor_parameter_191: class Program_weight_tensor_parameter_192: name = "parameter_192" + original_name = "conv2d_88.w_0" shape = [320, 320, 1, 1] dtype = "float32" min_val = float("-0.271036") @@ -2123,6 +2316,7 @@ class Program_weight_tensor_parameter_192: class Program_weight_tensor_parameter_193: name = "parameter_193" + original_name = "batch_norm2d_82.b_0" shape = [320] dtype = "float32" min_val = float("-2.02549") @@ -2134,6 +2328,7 @@ class Program_weight_tensor_parameter_193: class Program_weight_tensor_parameter_194: name = "parameter_194" + original_name = "batch_norm2d_82.w_0" shape = [320] dtype = "float32" min_val = float("-1.19818") @@ -2145,6 +2340,7 @@ class Program_weight_tensor_parameter_194: class Program_weight_tensor_parameter_195: name = "parameter_195" + original_name = "batch_norm2d_82.w_2" shape = [320] dtype = "float32" min_val = float("0.000121332") @@ -2156,6 +2352,7 @@ class Program_weight_tensor_parameter_195: class Program_weight_tensor_parameter_196: name = "parameter_196" + original_name = "batch_norm2d_82.w_1" shape = [320] dtype = "float32" min_val = float("-0.637261") @@ -2167,6 +2364,7 @@ class Program_weight_tensor_parameter_196: class Program_weight_tensor_parameter_197: name = "parameter_197" + original_name = "conv2d_87.w_0" shape = [320, 320, 1, 1] dtype = "float32" min_val = float("-0.246832") @@ -2178,6 +2376,7 @@ class Program_weight_tensor_parameter_197: class Program_weight_tensor_parameter_198: name = "parameter_198" + original_name = "batch_norm2d_85.b_0" shape = [256] dtype = "float32" min_val = float("-8.66008") @@ -2189,6 +2388,7 @@ class Program_weight_tensor_parameter_198: class Program_weight_tensor_parameter_199: name = "parameter_199" + original_name = "batch_norm2d_85.w_0" shape = [256] dtype = "float32" min_val = float("-0.637349") @@ -2200,6 +2400,7 @@ class Program_weight_tensor_parameter_199: class Program_weight_tensor_parameter_200: name = "parameter_200" + original_name = "batch_norm2d_85.w_2" shape = [256] dtype = "float32" min_val = float("0.00688179") @@ -2211,6 +2412,7 @@ class Program_weight_tensor_parameter_200: class Program_weight_tensor_parameter_201: name = "parameter_201" + original_name = "batch_norm2d_85.w_1" shape = [256] dtype = "float32" min_val = float("-0.660975") @@ -2222,6 +2424,7 @@ class Program_weight_tensor_parameter_201: class Program_weight_tensor_parameter_202: name = "parameter_202" + original_name = "conv2d_90.w_0" shape = [256, 640, 1, 1] dtype = "float32" min_val = float("-0.35865") @@ -2233,6 +2436,7 @@ class Program_weight_tensor_parameter_202: class Program_weight_tensor_parameter_203: name = "parameter_203" + original_name = "batch_norm2d_84.b_0" shape = [640] dtype = "float32" min_val = float("-3.12801") @@ -2244,6 +2448,7 @@ class Program_weight_tensor_parameter_203: class Program_weight_tensor_parameter_204: name = "parameter_204" + original_name = "batch_norm2d_84.w_0" shape = [640] dtype = "float32" min_val = float("0.233174") @@ -2255,6 +2460,7 @@ class Program_weight_tensor_parameter_204: class Program_weight_tensor_parameter_205: name = "parameter_205" + original_name = "batch_norm2d_84.w_2" shape = [640] dtype = "float32" min_val = float("5.60519e-45") @@ -2266,6 +2472,7 @@ class Program_weight_tensor_parameter_205: class Program_weight_tensor_parameter_206: name = "parameter_206" + original_name = "batch_norm2d_84.w_1" shape = [640] dtype = "float32" min_val = float("-1.71422") @@ -2277,6 +2484,7 @@ class Program_weight_tensor_parameter_206: class Program_weight_tensor_parameter_207: name = "parameter_207" + original_name = "conv2d_89.w_0" shape = [640, 1, 3, 3] dtype = "float32" min_val = float("-0.350734") @@ -2288,6 +2496,7 @@ class Program_weight_tensor_parameter_207: class Program_weight_tensor_parameter_208: name = "parameter_208" + original_name = "batch_norm2d_80.b_0" shape = [320] dtype = "float32" min_val = float("-3.26354") @@ -2299,6 +2508,7 @@ class Program_weight_tensor_parameter_208: class Program_weight_tensor_parameter_209: name = "parameter_209" + original_name = "batch_norm2d_80.w_0" shape = [320] dtype = "float32" min_val = float("0.243765") @@ -2310,6 +2520,7 @@ class Program_weight_tensor_parameter_209: class Program_weight_tensor_parameter_210: name = "parameter_210" + original_name = "batch_norm2d_80.w_2" shape = [320] dtype = "float32" min_val = float("2.94396") @@ -2321,6 +2532,7 @@ class Program_weight_tensor_parameter_210: class Program_weight_tensor_parameter_211: name = "parameter_211" + original_name = "batch_norm2d_80.w_1" shape = [320] dtype = "float32" min_val = float("-4.75039") @@ -2332,6 +2544,7 @@ class Program_weight_tensor_parameter_211: class Program_weight_tensor_parameter_212: name = "parameter_212" + original_name = "conv2d_85.w_0" shape = [320, 256, 1, 1] dtype = "float32" min_val = float("-0.459157") @@ -2343,6 +2556,7 @@ class Program_weight_tensor_parameter_212: class Program_weight_tensor_parameter_213: name = "parameter_213" + original_name = "batch_norm2d_79.b_0" shape = [160] dtype = "float32" min_val = float("-0.966717") @@ -2354,6 +2568,7 @@ class Program_weight_tensor_parameter_213: class Program_weight_tensor_parameter_214: name = "parameter_214" + original_name = "batch_norm2d_79.w_0" shape = [160] dtype = "float32" min_val = float("0.218642") @@ -2365,6 +2580,7 @@ class Program_weight_tensor_parameter_214: class Program_weight_tensor_parameter_215: name = "parameter_215" + original_name = "batch_norm2d_79.w_2" shape = [160] dtype = "float32" min_val = float("1.89677") @@ -2376,6 +2592,7 @@ class Program_weight_tensor_parameter_215: class Program_weight_tensor_parameter_216: name = "parameter_216" + original_name = "batch_norm2d_79.w_1" shape = [160] dtype = "float32" min_val = float("-2.32028") @@ -2387,6 +2604,7 @@ class Program_weight_tensor_parameter_216: class Program_weight_tensor_parameter_217: name = "parameter_217" + original_name = "conv2d_84.w_0" shape = [160, 256, 1, 1] dtype = "float32" min_val = float("-0.356426") @@ -2398,6 +2616,7 @@ class Program_weight_tensor_parameter_217: class Program_weight_tensor_parameter_218: name = "parameter_218" + original_name = "batch_norm2d_78.b_0" shape = [160] dtype = "float32" min_val = float("-2.38113") @@ -2409,6 +2628,7 @@ class Program_weight_tensor_parameter_218: class Program_weight_tensor_parameter_219: name = "parameter_219" + original_name = "batch_norm2d_78.w_0" shape = [160] dtype = "float32" min_val = float("0.261781") @@ -2420,6 +2640,7 @@ class Program_weight_tensor_parameter_219: class Program_weight_tensor_parameter_220: name = "parameter_220" + original_name = "batch_norm2d_78.w_2" shape = [160] dtype = "float32" min_val = float("1.39898") @@ -2431,6 +2652,7 @@ class Program_weight_tensor_parameter_220: class Program_weight_tensor_parameter_221: name = "parameter_221" + original_name = "batch_norm2d_78.w_1" shape = [160] dtype = "float32" min_val = float("-2.59864") @@ -2442,6 +2664,7 @@ class Program_weight_tensor_parameter_221: class Program_weight_tensor_parameter_222: name = "parameter_222" + original_name = "conv2d_83.w_0" shape = [160, 256, 1, 1] dtype = "float32" min_val = float("-0.246446") @@ -2453,6 +2676,7 @@ class Program_weight_tensor_parameter_222: class Program_weight_tensor_parameter_223: name = "parameter_223" + original_name = "batch_norm2d_77.b_0" shape = [256] dtype = "float32" min_val = float("-1.02665") @@ -2464,6 +2688,7 @@ class Program_weight_tensor_parameter_223: class Program_weight_tensor_parameter_224: name = "parameter_224" + original_name = "batch_norm2d_77.w_0" shape = [256] dtype = "float32" min_val = float("-0.243859") @@ -2475,6 +2700,7 @@ class Program_weight_tensor_parameter_224: class Program_weight_tensor_parameter_225: name = "parameter_225" + original_name = "batch_norm2d_77.w_2" shape = [256] dtype = "float32" min_val = float("0.00137178") @@ -2486,6 +2712,7 @@ class Program_weight_tensor_parameter_225: class Program_weight_tensor_parameter_226: name = "parameter_226" + original_name = "batch_norm2d_77.w_1" shape = [256] dtype = "float32" min_val = float("-0.126576") @@ -2497,6 +2724,7 @@ class Program_weight_tensor_parameter_226: class Program_weight_tensor_parameter_227: name = "parameter_227" + original_name = "conv2d_82.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.359988") @@ -2508,6 +2736,7 @@ class Program_weight_tensor_parameter_227: class Program_weight_tensor_parameter_228: name = "parameter_228" + original_name = "conv2d_81.b_0" shape = [1024] dtype = "float32" min_val = float("-1.93214") @@ -2519,6 +2748,7 @@ class Program_weight_tensor_parameter_228: class Program_weight_tensor_parameter_229: name = "parameter_229" + original_name = "conv2d_81.w_0" shape = [1024, 1, 3, 3] dtype = "float32" min_val = float("-0.401863") @@ -2530,6 +2760,7 @@ class Program_weight_tensor_parameter_229: class Program_weight_tensor_parameter_230: name = "parameter_230" + original_name = "batch_norm2d_76.b_0" shape = [1024] dtype = "float32" min_val = float("-3.9215") @@ -2541,6 +2772,7 @@ class Program_weight_tensor_parameter_230: class Program_weight_tensor_parameter_231: name = "parameter_231" + original_name = "batch_norm2d_76.w_0" shape = [1024] dtype = "float32" min_val = float("0.243417") @@ -2552,6 +2784,7 @@ class Program_weight_tensor_parameter_231: class Program_weight_tensor_parameter_232: name = "parameter_232" + original_name = "batch_norm2d_76.w_2" shape = [1024] dtype = "float32" min_val = float("5.60519e-45") @@ -2563,6 +2796,7 @@ class Program_weight_tensor_parameter_232: class Program_weight_tensor_parameter_233: name = "parameter_233" + original_name = "batch_norm2d_76.w_1" shape = [1024] dtype = "float32" min_val = float("-4.33365") @@ -2574,6 +2808,7 @@ class Program_weight_tensor_parameter_233: class Program_weight_tensor_parameter_234: name = "parameter_234" + original_name = "conv2d_80.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.466906") @@ -2585,6 +2820,7 @@ class Program_weight_tensor_parameter_234: class Program_weight_tensor_parameter_235: name = "parameter_235" + original_name = "batch_norm2d_71.b_0" shape = [256] dtype = "float32" min_val = float("-3.25669") @@ -2596,6 +2832,7 @@ class Program_weight_tensor_parameter_235: class Program_weight_tensor_parameter_236: name = "parameter_236" + original_name = "batch_norm2d_71.w_0" shape = [256] dtype = "float32" min_val = float("-2.53526") @@ -2607,6 +2844,7 @@ class Program_weight_tensor_parameter_236: class Program_weight_tensor_parameter_237: name = "parameter_237" + original_name = "batch_norm2d_71.w_2" shape = [256] dtype = "float32" min_val = float("0.0090161") @@ -2618,6 +2856,7 @@ class Program_weight_tensor_parameter_237: class Program_weight_tensor_parameter_238: name = "parameter_238" + original_name = "batch_norm2d_71.w_1" shape = [256] dtype = "float32" min_val = float("-0.77483") @@ -2629,6 +2868,7 @@ class Program_weight_tensor_parameter_238: class Program_weight_tensor_parameter_239: name = "parameter_239" + original_name = "conv2d_75.w_0" shape = [256, 320, 1, 1] dtype = "float32" min_val = float("-0.306525") @@ -2640,6 +2880,7 @@ class Program_weight_tensor_parameter_239: class Program_weight_tensor_parameter_240: name = "parameter_240" + original_name = "batch_norm2d_73.b_0" shape = [320] dtype = "float32" min_val = float("-1.80096") @@ -2651,6 +2892,7 @@ class Program_weight_tensor_parameter_240: class Program_weight_tensor_parameter_241: name = "parameter_241" + original_name = "batch_norm2d_73.w_0" shape = [320] dtype = "float32" min_val = float("-1.06421") @@ -2662,6 +2904,7 @@ class Program_weight_tensor_parameter_241: class Program_weight_tensor_parameter_242: name = "parameter_242" + original_name = "batch_norm2d_73.w_2" shape = [320] dtype = "float32" min_val = float("0.00364238") @@ -2673,6 +2916,7 @@ class Program_weight_tensor_parameter_242: class Program_weight_tensor_parameter_243: name = "parameter_243" + original_name = "batch_norm2d_73.w_1" shape = [320] dtype = "float32" min_val = float("-0.57026") @@ -2684,6 +2928,7 @@ class Program_weight_tensor_parameter_243: class Program_weight_tensor_parameter_244: name = "parameter_244" + original_name = "conv2d_77.w_0" shape = [320, 320, 1, 1] dtype = "float32" min_val = float("-0.325213") @@ -2695,6 +2940,7 @@ class Program_weight_tensor_parameter_244: class Program_weight_tensor_parameter_245: name = "parameter_245" + original_name = "batch_norm2d_72.b_0" shape = [320] dtype = "float32" min_val = float("-1.80096") @@ -2706,6 +2952,7 @@ class Program_weight_tensor_parameter_245: class Program_weight_tensor_parameter_246: name = "parameter_246" + original_name = "batch_norm2d_72.w_0" shape = [320] dtype = "float32" min_val = float("-1.0989") @@ -2717,6 +2964,7 @@ class Program_weight_tensor_parameter_246: class Program_weight_tensor_parameter_247: name = "parameter_247" + original_name = "batch_norm2d_72.w_2" shape = [320] dtype = "float32" min_val = float("0.00502014") @@ -2728,6 +2976,7 @@ class Program_weight_tensor_parameter_247: class Program_weight_tensor_parameter_248: name = "parameter_248" + original_name = "batch_norm2d_72.w_1" shape = [320] dtype = "float32" min_val = float("-0.506325") @@ -2739,6 +2988,7 @@ class Program_weight_tensor_parameter_248: class Program_weight_tensor_parameter_249: name = "parameter_249" + original_name = "conv2d_76.w_0" shape = [320, 320, 1, 1] dtype = "float32" min_val = float("-0.267369") @@ -2750,6 +3000,7 @@ class Program_weight_tensor_parameter_249: class Program_weight_tensor_parameter_250: name = "parameter_250" + original_name = "batch_norm2d_75.b_0" shape = [256] dtype = "float32" min_val = float("-9.85902") @@ -2761,6 +3012,7 @@ class Program_weight_tensor_parameter_250: class Program_weight_tensor_parameter_251: name = "parameter_251" + original_name = "batch_norm2d_75.w_0" shape = [256] dtype = "float32" min_val = float("-0.459638") @@ -2772,6 +3024,7 @@ class Program_weight_tensor_parameter_251: class Program_weight_tensor_parameter_252: name = "parameter_252" + original_name = "batch_norm2d_75.w_2" shape = [256] dtype = "float32" min_val = float("0.0101948") @@ -2783,6 +3036,7 @@ class Program_weight_tensor_parameter_252: class Program_weight_tensor_parameter_253: name = "parameter_253" + original_name = "batch_norm2d_75.w_1" shape = [256] dtype = "float32" min_val = float("-0.882369") @@ -2794,6 +3048,7 @@ class Program_weight_tensor_parameter_253: class Program_weight_tensor_parameter_254: name = "parameter_254" + original_name = "conv2d_79.w_0" shape = [256, 640, 1, 1] dtype = "float32" min_val = float("-0.41151") @@ -2805,6 +3060,7 @@ class Program_weight_tensor_parameter_254: class Program_weight_tensor_parameter_255: name = "parameter_255" + original_name = "batch_norm2d_74.b_0" shape = [640] dtype = "float32" min_val = float("-3.9183") @@ -2816,6 +3072,7 @@ class Program_weight_tensor_parameter_255: class Program_weight_tensor_parameter_256: name = "parameter_256" + original_name = "batch_norm2d_74.w_0" shape = [640] dtype = "float32" min_val = float("0.397555") @@ -2827,6 +3084,7 @@ class Program_weight_tensor_parameter_256: class Program_weight_tensor_parameter_257: name = "parameter_257" + original_name = "batch_norm2d_74.w_2" shape = [640] dtype = "float32" min_val = float("0.00120728") @@ -2838,6 +3096,7 @@ class Program_weight_tensor_parameter_257: class Program_weight_tensor_parameter_258: name = "parameter_258" + original_name = "batch_norm2d_74.w_1" shape = [640] dtype = "float32" min_val = float("-0.870696") @@ -2849,6 +3108,7 @@ class Program_weight_tensor_parameter_258: class Program_weight_tensor_parameter_259: name = "parameter_259" + original_name = "conv2d_78.w_0" shape = [640, 1, 3, 3] dtype = "float32" min_val = float("-0.339582") @@ -2860,6 +3120,7 @@ class Program_weight_tensor_parameter_259: class Program_weight_tensor_parameter_260: name = "parameter_260" + original_name = "batch_norm2d_70.b_0" shape = [320] dtype = "float32" min_val = float("-1.61671") @@ -2871,6 +3132,7 @@ class Program_weight_tensor_parameter_260: class Program_weight_tensor_parameter_261: name = "parameter_261" + original_name = "batch_norm2d_70.w_0" shape = [320] dtype = "float32" min_val = float("0.231808") @@ -2882,6 +3144,7 @@ class Program_weight_tensor_parameter_261: class Program_weight_tensor_parameter_262: name = "parameter_262" + original_name = "batch_norm2d_70.w_2" shape = [320] dtype = "float32" min_val = float("3.64229") @@ -2893,6 +3156,7 @@ class Program_weight_tensor_parameter_262: class Program_weight_tensor_parameter_263: name = "parameter_263" + original_name = "batch_norm2d_70.w_1" shape = [320] dtype = "float32" min_val = float("-3.58432") @@ -2904,6 +3168,7 @@ class Program_weight_tensor_parameter_263: class Program_weight_tensor_parameter_264: name = "parameter_264" + original_name = "conv2d_74.w_0" shape = [320, 256, 1, 1] dtype = "float32" min_val = float("-0.788954") @@ -2915,6 +3180,7 @@ class Program_weight_tensor_parameter_264: class Program_weight_tensor_parameter_265: name = "parameter_265" + original_name = "batch_norm2d_69.b_0" shape = [160] dtype = "float32" min_val = float("-1.2597") @@ -2926,6 +3192,7 @@ class Program_weight_tensor_parameter_265: class Program_weight_tensor_parameter_266: name = "parameter_266" + original_name = "batch_norm2d_69.w_0" shape = [160] dtype = "float32" min_val = float("0.151767") @@ -2937,6 +3204,7 @@ class Program_weight_tensor_parameter_266: class Program_weight_tensor_parameter_267: name = "parameter_267" + original_name = "batch_norm2d_69.w_2" shape = [160] dtype = "float32" min_val = float("2.44454") @@ -2948,6 +3216,7 @@ class Program_weight_tensor_parameter_267: class Program_weight_tensor_parameter_268: name = "parameter_268" + original_name = "batch_norm2d_69.w_1" shape = [160] dtype = "float32" min_val = float("-4.3492") @@ -2959,6 +3228,7 @@ class Program_weight_tensor_parameter_268: class Program_weight_tensor_parameter_269: name = "parameter_269" + original_name = "conv2d_73.w_0" shape = [160, 256, 1, 1] dtype = "float32" min_val = float("-0.314309") @@ -2970,6 +3240,7 @@ class Program_weight_tensor_parameter_269: class Program_weight_tensor_parameter_270: name = "parameter_270" + original_name = "batch_norm2d_68.b_0" shape = [160] dtype = "float32" min_val = float("-1.68006") @@ -2981,6 +3252,7 @@ class Program_weight_tensor_parameter_270: class Program_weight_tensor_parameter_271: name = "parameter_271" + original_name = "batch_norm2d_68.w_0" shape = [160] dtype = "float32" min_val = float("0.263002") @@ -2992,6 +3264,7 @@ class Program_weight_tensor_parameter_271: class Program_weight_tensor_parameter_272: name = "parameter_272" + original_name = "batch_norm2d_68.w_2" shape = [160] dtype = "float32" min_val = float("2.61291") @@ -3003,6 +3276,7 @@ class Program_weight_tensor_parameter_272: class Program_weight_tensor_parameter_273: name = "parameter_273" + original_name = "batch_norm2d_68.w_1" shape = [160] dtype = "float32" min_val = float("-2.01129") @@ -3014,6 +3288,7 @@ class Program_weight_tensor_parameter_273: class Program_weight_tensor_parameter_274: name = "parameter_274" + original_name = "conv2d_72.w_0" shape = [160, 256, 1, 1] dtype = "float32" min_val = float("-0.666677") @@ -3025,6 +3300,7 @@ class Program_weight_tensor_parameter_274: class Program_weight_tensor_parameter_275: name = "parameter_275" + original_name = "batch_norm2d_67.b_0" shape = [256] dtype = "float32" min_val = float("-0.00223573") @@ -3036,6 +3312,7 @@ class Program_weight_tensor_parameter_275: class Program_weight_tensor_parameter_276: name = "parameter_276" + original_name = "batch_norm2d_67.w_0" shape = [256] dtype = "float32" min_val = float("0.446807") @@ -3047,6 +3324,7 @@ class Program_weight_tensor_parameter_276: class Program_weight_tensor_parameter_277: name = "parameter_277" + original_name = "batch_norm2d_67.w_2" shape = [256] dtype = "float32" min_val = float("0.0116926") @@ -3058,6 +3336,7 @@ class Program_weight_tensor_parameter_277: class Program_weight_tensor_parameter_278: name = "parameter_278" + original_name = "batch_norm2d_67.w_1" shape = [256] dtype = "float32" min_val = float("-0.245849") @@ -3069,6 +3348,7 @@ class Program_weight_tensor_parameter_278: class Program_weight_tensor_parameter_279: name = "parameter_279" + original_name = "conv2d_71.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.425934") @@ -3080,6 +3360,7 @@ class Program_weight_tensor_parameter_279: class Program_weight_tensor_parameter_280: name = "parameter_280" + original_name = "conv2d_70.b_0" shape = [1024] dtype = "float32" min_val = float("-2.75719") @@ -3091,6 +3372,7 @@ class Program_weight_tensor_parameter_280: class Program_weight_tensor_parameter_281: name = "parameter_281" + original_name = "conv2d_70.w_0" shape = [1024, 1, 3, 3] dtype = "float32" min_val = float("-0.484039") @@ -3102,6 +3384,7 @@ class Program_weight_tensor_parameter_281: class Program_weight_tensor_parameter_282: name = "parameter_282" + original_name = "batch_norm2d_66.b_0" shape = [1024] dtype = "float32" min_val = float("-4.37077") @@ -3113,6 +3396,7 @@ class Program_weight_tensor_parameter_282: class Program_weight_tensor_parameter_283: name = "parameter_283" + original_name = "batch_norm2d_66.w_0" shape = [1024] dtype = "float32" min_val = float("0.445267") @@ -3124,6 +3408,7 @@ class Program_weight_tensor_parameter_283: class Program_weight_tensor_parameter_284: name = "parameter_284" + original_name = "batch_norm2d_66.w_2" shape = [1024] dtype = "float32" min_val = float("1.88585") @@ -3135,6 +3420,7 @@ class Program_weight_tensor_parameter_284: class Program_weight_tensor_parameter_285: name = "parameter_285" + original_name = "batch_norm2d_66.w_1" shape = [1024] dtype = "float32" min_val = float("-3.58519") @@ -3146,6 +3432,7 @@ class Program_weight_tensor_parameter_285: class Program_weight_tensor_parameter_286: name = "parameter_286" + original_name = "conv2d_69.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.422065") @@ -3157,6 +3444,7 @@ class Program_weight_tensor_parameter_286: class Program_weight_tensor_parameter_287: name = "parameter_287" + original_name = "batch_norm2d_61.b_0" shape = [256] dtype = "float32" min_val = float("-3.83309") @@ -3168,6 +3456,7 @@ class Program_weight_tensor_parameter_287: class Program_weight_tensor_parameter_288: name = "parameter_288" + original_name = "batch_norm2d_61.w_0" shape = [256] dtype = "float32" min_val = float("-3.78631") @@ -3179,6 +3468,7 @@ class Program_weight_tensor_parameter_288: class Program_weight_tensor_parameter_289: name = "parameter_289" + original_name = "batch_norm2d_61.w_2" shape = [256] dtype = "float32" min_val = float("0.213413") @@ -3190,6 +3480,7 @@ class Program_weight_tensor_parameter_289: class Program_weight_tensor_parameter_290: name = "parameter_290" + original_name = "batch_norm2d_61.w_1" shape = [256] dtype = "float32" min_val = float("-1.60719") @@ -3201,6 +3492,7 @@ class Program_weight_tensor_parameter_290: class Program_weight_tensor_parameter_291: name = "parameter_291" + original_name = "conv2d_64.w_0" shape = [256, 320, 1, 1] dtype = "float32" min_val = float("-0.535922") @@ -3212,6 +3504,7 @@ class Program_weight_tensor_parameter_291: class Program_weight_tensor_parameter_292: name = "parameter_292" + original_name = "batch_norm2d_63.b_0" shape = [320] dtype = "float32" min_val = float("-2.46309") @@ -3223,6 +3516,7 @@ class Program_weight_tensor_parameter_292: class Program_weight_tensor_parameter_293: name = "parameter_293" + original_name = "batch_norm2d_63.w_0" shape = [320] dtype = "float32" min_val = float("-2.33083") @@ -3234,6 +3528,7 @@ class Program_weight_tensor_parameter_293: class Program_weight_tensor_parameter_294: name = "parameter_294" + original_name = "batch_norm2d_63.w_2" shape = [320] dtype = "float32" min_val = float("0.016103") @@ -3245,6 +3540,7 @@ class Program_weight_tensor_parameter_294: class Program_weight_tensor_parameter_295: name = "parameter_295" + original_name = "batch_norm2d_63.w_1" shape = [320] dtype = "float32" min_val = float("-0.711876") @@ -3256,6 +3552,7 @@ class Program_weight_tensor_parameter_295: class Program_weight_tensor_parameter_296: name = "parameter_296" + original_name = "conv2d_66.w_0" shape = [320, 320, 1, 1] dtype = "float32" min_val = float("-0.44291") @@ -3267,6 +3564,7 @@ class Program_weight_tensor_parameter_296: class Program_weight_tensor_parameter_297: name = "parameter_297" + original_name = "batch_norm2d_62.b_0" shape = [320] dtype = "float32" min_val = float("-2.46302") @@ -3278,6 +3576,7 @@ class Program_weight_tensor_parameter_297: class Program_weight_tensor_parameter_298: name = "parameter_298" + original_name = "batch_norm2d_62.w_0" shape = [320] dtype = "float32" min_val = float("-2.34327") @@ -3289,6 +3588,7 @@ class Program_weight_tensor_parameter_298: class Program_weight_tensor_parameter_299: name = "parameter_299" + original_name = "batch_norm2d_62.w_2" shape = [320] dtype = "float32" min_val = float("0.0158695") @@ -3300,6 +3600,7 @@ class Program_weight_tensor_parameter_299: class Program_weight_tensor_parameter_300: name = "parameter_300" + original_name = "batch_norm2d_62.w_1" shape = [320] dtype = "float32" min_val = float("-0.827037") @@ -3311,6 +3612,7 @@ class Program_weight_tensor_parameter_300: class Program_weight_tensor_parameter_301: name = "parameter_301" + original_name = "conv2d_65.w_0" shape = [320, 320, 1, 1] dtype = "float32" min_val = float("-0.477861") @@ -3322,6 +3624,7 @@ class Program_weight_tensor_parameter_301: class Program_weight_tensor_parameter_302: name = "parameter_302" + original_name = "batch_norm2d_65.b_0" shape = [256] dtype = "float32" min_val = float("-14.7584") @@ -3333,6 +3636,7 @@ class Program_weight_tensor_parameter_302: class Program_weight_tensor_parameter_303: name = "parameter_303" + original_name = "batch_norm2d_65.w_0" shape = [256] dtype = "float32" min_val = float("0.90638") @@ -3344,6 +3648,7 @@ class Program_weight_tensor_parameter_303: class Program_weight_tensor_parameter_304: name = "parameter_304" + original_name = "batch_norm2d_65.w_2" shape = [256] dtype = "float32" min_val = float("0.265969") @@ -3355,6 +3660,7 @@ class Program_weight_tensor_parameter_304: class Program_weight_tensor_parameter_305: name = "parameter_305" + original_name = "batch_norm2d_65.w_1" shape = [256] dtype = "float32" min_val = float("-3.16623") @@ -3366,6 +3672,7 @@ class Program_weight_tensor_parameter_305: class Program_weight_tensor_parameter_306: name = "parameter_306" + original_name = "conv2d_68.w_0" shape = [256, 640, 1, 1] dtype = "float32" min_val = float("-0.568453") @@ -3377,6 +3684,7 @@ class Program_weight_tensor_parameter_306: class Program_weight_tensor_parameter_307: name = "parameter_307" + original_name = "batch_norm2d_64.b_0" shape = [640] dtype = "float32" min_val = float("-2.92899") @@ -3388,6 +3696,7 @@ class Program_weight_tensor_parameter_307: class Program_weight_tensor_parameter_308: name = "parameter_308" + original_name = "batch_norm2d_64.w_0" shape = [640] dtype = "float32" min_val = float("0.732179") @@ -3399,6 +3708,7 @@ class Program_weight_tensor_parameter_308: class Program_weight_tensor_parameter_309: name = "parameter_309" + original_name = "batch_norm2d_64.w_2" shape = [640] dtype = "float32" min_val = float("0.00206971") @@ -3410,6 +3720,7 @@ class Program_weight_tensor_parameter_309: class Program_weight_tensor_parameter_310: name = "parameter_310" + original_name = "batch_norm2d_64.w_1" shape = [640] dtype = "float32" min_val = float("-2.12673") @@ -3421,6 +3732,7 @@ class Program_weight_tensor_parameter_310: class Program_weight_tensor_parameter_311: name = "parameter_311" + original_name = "conv2d_67.w_0" shape = [640, 1, 3, 3] dtype = "float32" min_val = float("-0.504799") @@ -3432,6 +3744,7 @@ class Program_weight_tensor_parameter_311: class Program_weight_tensor_parameter_312: name = "parameter_312" + original_name = "batch_norm2d_60.b_0" shape = [320] dtype = "float32" min_val = float("-2.42393") @@ -3443,6 +3756,7 @@ class Program_weight_tensor_parameter_312: class Program_weight_tensor_parameter_313: name = "parameter_313" + original_name = "batch_norm2d_60.w_0" shape = [320] dtype = "float32" min_val = float("0.202478") @@ -3454,6 +3768,7 @@ class Program_weight_tensor_parameter_313: class Program_weight_tensor_parameter_314: name = "parameter_314" + original_name = "batch_norm2d_60.w_2" shape = [320] dtype = "float32" min_val = float("3.35801") @@ -3465,6 +3780,7 @@ class Program_weight_tensor_parameter_314: class Program_weight_tensor_parameter_315: name = "parameter_315" + original_name = "batch_norm2d_60.w_1" shape = [320] dtype = "float32" min_val = float("-0.00188769") @@ -3476,6 +3792,7 @@ class Program_weight_tensor_parameter_315: class Program_weight_tensor_parameter_316: name = "parameter_316" + original_name = "conv2d_63.w_0" shape = [320, 256, 1, 1] dtype = "float32" min_val = float("-0.806728") @@ -3487,6 +3804,7 @@ class Program_weight_tensor_parameter_316: class Program_weight_tensor_parameter_317: name = "parameter_317" + original_name = "batch_norm2d_59.b_0" shape = [160] dtype = "float32" min_val = float("-1.06472") @@ -3498,6 +3816,7 @@ class Program_weight_tensor_parameter_317: class Program_weight_tensor_parameter_318: name = "parameter_318" + original_name = "batch_norm2d_59.w_0" shape = [160] dtype = "float32" min_val = float("0.152409") @@ -3509,6 +3828,7 @@ class Program_weight_tensor_parameter_318: class Program_weight_tensor_parameter_319: name = "parameter_319" + original_name = "batch_norm2d_59.w_2" shape = [160] dtype = "float32" min_val = float("2.4042") @@ -3520,6 +3840,7 @@ class Program_weight_tensor_parameter_319: class Program_weight_tensor_parameter_320: name = "parameter_320" + original_name = "batch_norm2d_59.w_1" shape = [160] dtype = "float32" min_val = float("-0.00138089") @@ -3531,6 +3852,7 @@ class Program_weight_tensor_parameter_320: class Program_weight_tensor_parameter_321: name = "parameter_321" + original_name = "conv2d_62.w_0" shape = [160, 256, 1, 1] dtype = "float32" min_val = float("-0.330006") @@ -3542,6 +3864,7 @@ class Program_weight_tensor_parameter_321: class Program_weight_tensor_parameter_322: name = "parameter_322" + original_name = "batch_norm2d_58.b_0" shape = [160] dtype = "float32" min_val = float("-5.08651") @@ -3553,6 +3876,7 @@ class Program_weight_tensor_parameter_322: class Program_weight_tensor_parameter_323: name = "parameter_323" + original_name = "batch_norm2d_58.w_0" shape = [160] dtype = "float32" min_val = float("0.234721") @@ -3564,6 +3888,7 @@ class Program_weight_tensor_parameter_323: class Program_weight_tensor_parameter_324: name = "parameter_324" + original_name = "batch_norm2d_58.w_2" shape = [160] dtype = "float32" min_val = float("2.42007") @@ -3575,6 +3900,7 @@ class Program_weight_tensor_parameter_324: class Program_weight_tensor_parameter_325: name = "parameter_325" + original_name = "batch_norm2d_58.w_1" shape = [160] dtype = "float32" min_val = float("-0.00208176") @@ -3586,6 +3912,7 @@ class Program_weight_tensor_parameter_325: class Program_weight_tensor_parameter_326: name = "parameter_326" + original_name = "conv2d_61.w_0" shape = [160, 256, 1, 1] dtype = "float32" min_val = float("-0.446906") @@ -3597,6 +3924,7 @@ class Program_weight_tensor_parameter_326: class Program_weight_tensor_parameter_327: name = "parameter_327" + original_name = "batch_norm2d_24.b_0" shape = [256] dtype = "float32" min_val = float("-0.00291752") @@ -3608,6 +3936,7 @@ class Program_weight_tensor_parameter_327: class Program_weight_tensor_parameter_328: name = "parameter_328" + original_name = "batch_norm2d_24.w_0" shape = [256] dtype = "float32" min_val = float("0.446423") @@ -3619,6 +3948,7 @@ class Program_weight_tensor_parameter_328: class Program_weight_tensor_parameter_329: name = "parameter_329" + original_name = "batch_norm2d_24.w_2" shape = [256] dtype = "float32" min_val = float("1.16611") @@ -3630,6 +3960,7 @@ class Program_weight_tensor_parameter_329: class Program_weight_tensor_parameter_330: name = "parameter_330" + original_name = "batch_norm2d_24.w_1" shape = [256] dtype = "float32" min_val = float("-12.5734") @@ -3641,6 +3972,7 @@ class Program_weight_tensor_parameter_330: class Program_weight_tensor_parameter_331: name = "parameter_331" + original_name = "conv2d_24.w_0" shape = [256, 768, 1, 1] dtype = "float32" min_val = float("-0.903303") @@ -3652,6 +3984,7 @@ class Program_weight_tensor_parameter_331: class Program_weight_tensor_parameter_332: name = "parameter_332" + original_name = "batch_norm2d_23.b_0" shape = [768] dtype = "float32" min_val = float("-3.95084") @@ -3663,6 +3996,7 @@ class Program_weight_tensor_parameter_332: class Program_weight_tensor_parameter_333: name = "parameter_333" + original_name = "batch_norm2d_23.w_0" shape = [768] dtype = "float32" min_val = float("0.779437") @@ -3674,6 +4008,7 @@ class Program_weight_tensor_parameter_333: class Program_weight_tensor_parameter_334: name = "parameter_334" + original_name = "batch_norm2d_23.w_2" shape = [768] dtype = "float32" min_val = float("5.60519e-45") @@ -3685,6 +4020,7 @@ class Program_weight_tensor_parameter_334: class Program_weight_tensor_parameter_335: name = "parameter_335" + original_name = "batch_norm2d_23.w_1" shape = [768] dtype = "float32" min_val = float("-2.71514") @@ -3696,6 +4032,7 @@ class Program_weight_tensor_parameter_335: class Program_weight_tensor_parameter_336: name = "parameter_336" + original_name = "conv2d_23.w_0" shape = [768, 1, 5, 5] dtype = "float32" min_val = float("-0.275831") @@ -3707,6 +4044,7 @@ class Program_weight_tensor_parameter_336: class Program_weight_tensor_parameter_337: name = "parameter_337" + original_name = "batch_norm2d_22.b_0" shape = [768] dtype = "float32" min_val = float("-3.72653") @@ -3718,6 +4056,7 @@ class Program_weight_tensor_parameter_337: class Program_weight_tensor_parameter_338: name = "parameter_338" + original_name = "batch_norm2d_22.w_0" shape = [768] dtype = "float32" min_val = float("-0.175196") @@ -3729,6 +4068,7 @@ class Program_weight_tensor_parameter_338: class Program_weight_tensor_parameter_339: name = "parameter_339" + original_name = "batch_norm2d_22.w_2" shape = [768] dtype = "float32" min_val = float("5.60519e-45") @@ -3740,6 +4080,7 @@ class Program_weight_tensor_parameter_339: class Program_weight_tensor_parameter_340: name = "parameter_340" + original_name = "batch_norm2d_22.w_1" shape = [768] dtype = "float32" min_val = float("-5.32831") @@ -3751,6 +4092,7 @@ class Program_weight_tensor_parameter_340: class Program_weight_tensor_parameter_341: name = "parameter_341" + original_name = "conv2d_22.w_0" shape = [768, 192, 1, 1] dtype = "float32" min_val = float("-0.869617") @@ -3762,6 +4104,7 @@ class Program_weight_tensor_parameter_341: class Program_weight_tensor_parameter_342: name = "parameter_342" + original_name = "batch_norm2d_57.b_0" shape = [192] dtype = "float32" min_val = float("-0.38331") @@ -3773,6 +4116,7 @@ class Program_weight_tensor_parameter_342: class Program_weight_tensor_parameter_343: name = "parameter_343" + original_name = "batch_norm2d_57.w_0" shape = [192] dtype = "float32" min_val = float("-0.252442") @@ -3784,6 +4128,7 @@ class Program_weight_tensor_parameter_343: class Program_weight_tensor_parameter_344: name = "parameter_344" + original_name = "batch_norm2d_57.w_2" shape = [192] dtype = "float32" min_val = float("0.000608938") @@ -3795,6 +4140,7 @@ class Program_weight_tensor_parameter_344: class Program_weight_tensor_parameter_345: name = "parameter_345" + original_name = "batch_norm2d_57.w_1" shape = [192] dtype = "float32" min_val = float("-0.20734") @@ -3806,6 +4152,7 @@ class Program_weight_tensor_parameter_345: class Program_weight_tensor_parameter_346: name = "parameter_346" + original_name = "conv2d_60.w_0" shape = [192, 384, 1, 1] dtype = "float32" min_val = float("-0.431992") @@ -3817,6 +4164,7 @@ class Program_weight_tensor_parameter_346: class Program_weight_tensor_parameter_347: name = "parameter_347" + original_name = "conv2d_59.b_0" shape = [384] dtype = "float32" min_val = float("-1.80338") @@ -3828,6 +4176,7 @@ class Program_weight_tensor_parameter_347: class Program_weight_tensor_parameter_348: name = "parameter_348" + original_name = "conv2d_59.w_0" shape = [384, 1, 3, 3] dtype = "float32" min_val = float("-0.404303") @@ -3839,6 +4188,7 @@ class Program_weight_tensor_parameter_348: class Program_weight_tensor_parameter_349: name = "parameter_349" + original_name = "batch_norm2d_56.b_0" shape = [384] dtype = "float32" min_val = float("-3.5668") @@ -3850,6 +4200,7 @@ class Program_weight_tensor_parameter_349: class Program_weight_tensor_parameter_350: name = "parameter_350" + original_name = "batch_norm2d_56.w_0" shape = [384] dtype = "float32" min_val = float("0.461395") @@ -3861,6 +4212,7 @@ class Program_weight_tensor_parameter_350: class Program_weight_tensor_parameter_351: name = "parameter_351" + original_name = "batch_norm2d_56.w_2" shape = [384] dtype = "float32" min_val = float("5.60519e-45") @@ -3872,6 +4224,7 @@ class Program_weight_tensor_parameter_351: class Program_weight_tensor_parameter_352: name = "parameter_352" + original_name = "batch_norm2d_56.w_1" shape = [384] dtype = "float32" min_val = float("-4.15325") @@ -3883,6 +4236,7 @@ class Program_weight_tensor_parameter_352: class Program_weight_tensor_parameter_353: name = "parameter_353" + original_name = "conv2d_58.w_0" shape = [384, 192, 1, 1] dtype = "float32" min_val = float("-0.501738") @@ -3894,6 +4248,7 @@ class Program_weight_tensor_parameter_353: class Program_weight_tensor_parameter_354: name = "parameter_354" + original_name = "batch_norm2d_51.b_0" shape = [192] dtype = "float32" min_val = float("-2.86809") @@ -3905,6 +4260,7 @@ class Program_weight_tensor_parameter_354: class Program_weight_tensor_parameter_355: name = "parameter_355" + original_name = "batch_norm2d_51.w_0" shape = [192] dtype = "float32" min_val = float("-2.48854") @@ -3916,6 +4272,7 @@ class Program_weight_tensor_parameter_355: class Program_weight_tensor_parameter_356: name = "parameter_356" + original_name = "batch_norm2d_51.w_2" shape = [192] dtype = "float32" min_val = float("0.0490956") @@ -3927,6 +4284,7 @@ class Program_weight_tensor_parameter_356: class Program_weight_tensor_parameter_357: name = "parameter_357" + original_name = "batch_norm2d_51.w_1" shape = [192] dtype = "float32" min_val = float("-0.780348") @@ -3938,6 +4296,7 @@ class Program_weight_tensor_parameter_357: class Program_weight_tensor_parameter_358: name = "parameter_358" + original_name = "conv2d_53.w_0" shape = [192, 256, 1, 1] dtype = "float32" min_val = float("-0.335722") @@ -3949,6 +4308,7 @@ class Program_weight_tensor_parameter_358: class Program_weight_tensor_parameter_359: name = "parameter_359" + original_name = "batch_norm2d_53.b_0" shape = [256] dtype = "float32" min_val = float("-2.27334") @@ -3960,6 +4320,7 @@ class Program_weight_tensor_parameter_359: class Program_weight_tensor_parameter_360: name = "parameter_360" + original_name = "batch_norm2d_53.w_0" shape = [256] dtype = "float32" min_val = float("-0.89172") @@ -3971,6 +4332,7 @@ class Program_weight_tensor_parameter_360: class Program_weight_tensor_parameter_361: name = "parameter_361" + original_name = "batch_norm2d_53.w_2" shape = [256] dtype = "float32" min_val = float("0.000847218") @@ -3982,6 +4344,7 @@ class Program_weight_tensor_parameter_361: class Program_weight_tensor_parameter_362: name = "parameter_362" + original_name = "batch_norm2d_53.w_1" shape = [256] dtype = "float32" min_val = float("-0.49463") @@ -3993,6 +4356,7 @@ class Program_weight_tensor_parameter_362: class Program_weight_tensor_parameter_363: name = "parameter_363" + original_name = "conv2d_55.w_0" shape = [256, 256, 1, 1] dtype = "float32" min_val = float("-0.31081") @@ -4004,6 +4368,7 @@ class Program_weight_tensor_parameter_363: class Program_weight_tensor_parameter_364: name = "parameter_364" + original_name = "batch_norm2d_52.b_0" shape = [256] dtype = "float32" min_val = float("-2.27341") @@ -4015,6 +4380,7 @@ class Program_weight_tensor_parameter_364: class Program_weight_tensor_parameter_365: name = "parameter_365" + original_name = "batch_norm2d_52.w_0" shape = [256] dtype = "float32" min_val = float("-0.998056") @@ -4026,6 +4392,7 @@ class Program_weight_tensor_parameter_365: class Program_weight_tensor_parameter_366: name = "parameter_366" + original_name = "batch_norm2d_52.w_2" shape = [256] dtype = "float32" min_val = float("0.0023366") @@ -4037,6 +4404,7 @@ class Program_weight_tensor_parameter_366: class Program_weight_tensor_parameter_367: name = "parameter_367" + original_name = "batch_norm2d_52.w_1" shape = [256] dtype = "float32" min_val = float("-0.389931") @@ -4048,6 +4416,7 @@ class Program_weight_tensor_parameter_367: class Program_weight_tensor_parameter_368: name = "parameter_368" + original_name = "conv2d_54.w_0" shape = [256, 256, 1, 1] dtype = "float32" min_val = float("-0.297192") @@ -4059,6 +4428,7 @@ class Program_weight_tensor_parameter_368: class Program_weight_tensor_parameter_369: name = "parameter_369" + original_name = "batch_norm2d_55.b_0" shape = [192] dtype = "float32" min_val = float("-4.41109") @@ -4070,6 +4440,7 @@ class Program_weight_tensor_parameter_369: class Program_weight_tensor_parameter_370: name = "parameter_370" + original_name = "batch_norm2d_55.w_0" shape = [192] dtype = "float32" min_val = float("-0.842436") @@ -4081,6 +4452,7 @@ class Program_weight_tensor_parameter_370: class Program_weight_tensor_parameter_371: name = "parameter_371" + original_name = "batch_norm2d_55.w_2" shape = [192] dtype = "float32" min_val = float("0.0351716") @@ -4092,6 +4464,7 @@ class Program_weight_tensor_parameter_371: class Program_weight_tensor_parameter_372: name = "parameter_372" + original_name = "batch_norm2d_55.w_1" shape = [192] dtype = "float32" min_val = float("-0.520333") @@ -4103,6 +4476,7 @@ class Program_weight_tensor_parameter_372: class Program_weight_tensor_parameter_373: name = "parameter_373" + original_name = "conv2d_57.w_0" shape = [192, 512, 1, 1] dtype = "float32" min_val = float("-0.549264") @@ -4114,6 +4488,7 @@ class Program_weight_tensor_parameter_373: class Program_weight_tensor_parameter_374: name = "parameter_374" + original_name = "batch_norm2d_54.b_0" shape = [512] dtype = "float32" min_val = float("-3.84019") @@ -4125,6 +4500,7 @@ class Program_weight_tensor_parameter_374: class Program_weight_tensor_parameter_375: name = "parameter_375" + original_name = "batch_norm2d_54.w_0" shape = [512] dtype = "float32" min_val = float("0.434791") @@ -4136,6 +4512,7 @@ class Program_weight_tensor_parameter_375: class Program_weight_tensor_parameter_376: name = "parameter_376" + original_name = "batch_norm2d_54.w_2" shape = [512] dtype = "float32" min_val = float("0.000348584") @@ -4147,6 +4524,7 @@ class Program_weight_tensor_parameter_376: class Program_weight_tensor_parameter_377: name = "parameter_377" + original_name = "batch_norm2d_54.w_1" shape = [512] dtype = "float32" min_val = float("-2.65241") @@ -4158,6 +4536,7 @@ class Program_weight_tensor_parameter_377: class Program_weight_tensor_parameter_378: name = "parameter_378" + original_name = "conv2d_56.w_0" shape = [512, 1, 3, 3] dtype = "float32" min_val = float("-0.372721") @@ -4169,6 +4548,7 @@ class Program_weight_tensor_parameter_378: class Program_weight_tensor_parameter_379: name = "parameter_379" + original_name = "batch_norm2d_50.b_0" shape = [256] dtype = "float32" min_val = float("-1.83082") @@ -4180,6 +4560,7 @@ class Program_weight_tensor_parameter_379: class Program_weight_tensor_parameter_380: name = "parameter_380" + original_name = "batch_norm2d_50.w_0" shape = [256] dtype = "float32" min_val = float("0.0674937") @@ -4191,6 +4572,7 @@ class Program_weight_tensor_parameter_380: class Program_weight_tensor_parameter_381: name = "parameter_381" + original_name = "batch_norm2d_50.w_2" shape = [256] dtype = "float32" min_val = float("2.94702") @@ -4202,6 +4584,7 @@ class Program_weight_tensor_parameter_381: class Program_weight_tensor_parameter_382: name = "parameter_382" + original_name = "batch_norm2d_50.w_1" shape = [256] dtype = "float32" min_val = float("-4.35227") @@ -4213,6 +4596,7 @@ class Program_weight_tensor_parameter_382: class Program_weight_tensor_parameter_383: name = "parameter_383" + original_name = "conv2d_52.w_0" shape = [256, 192, 1, 1] dtype = "float32" min_val = float("-0.616354") @@ -4224,6 +4608,7 @@ class Program_weight_tensor_parameter_383: class Program_weight_tensor_parameter_384: name = "parameter_384" + original_name = "batch_norm2d_49.b_0" shape = [128] dtype = "float32" min_val = float("-1.47184") @@ -4235,6 +4620,7 @@ class Program_weight_tensor_parameter_384: class Program_weight_tensor_parameter_385: name = "parameter_385" + original_name = "batch_norm2d_49.w_0" shape = [128] dtype = "float32" min_val = float("0.0695279") @@ -4246,6 +4632,7 @@ class Program_weight_tensor_parameter_385: class Program_weight_tensor_parameter_386: name = "parameter_386" + original_name = "batch_norm2d_49.w_2" shape = [128] dtype = "float32" min_val = float("2.19882") @@ -4257,6 +4644,7 @@ class Program_weight_tensor_parameter_386: class Program_weight_tensor_parameter_387: name = "parameter_387" + original_name = "batch_norm2d_49.w_1" shape = [128] dtype = "float32" min_val = float("-4.14942") @@ -4268,6 +4656,7 @@ class Program_weight_tensor_parameter_387: class Program_weight_tensor_parameter_388: name = "parameter_388" + original_name = "conv2d_51.w_0" shape = [128, 192, 1, 1] dtype = "float32" min_val = float("-0.318064") @@ -4279,6 +4668,7 @@ class Program_weight_tensor_parameter_388: class Program_weight_tensor_parameter_389: name = "parameter_389" + original_name = "batch_norm2d_48.b_0" shape = [128] dtype = "float32" min_val = float("-2.17276") @@ -4290,6 +4680,7 @@ class Program_weight_tensor_parameter_389: class Program_weight_tensor_parameter_390: name = "parameter_390" + original_name = "batch_norm2d_48.w_0" shape = [128] dtype = "float32" min_val = float("0.438293") @@ -4301,6 +4692,7 @@ class Program_weight_tensor_parameter_390: class Program_weight_tensor_parameter_391: name = "parameter_391" + original_name = "batch_norm2d_48.w_2" shape = [128] dtype = "float32" min_val = float("2.16826") @@ -4312,6 +4704,7 @@ class Program_weight_tensor_parameter_391: class Program_weight_tensor_parameter_392: name = "parameter_392" + original_name = "batch_norm2d_48.w_1" shape = [128] dtype = "float32" min_val = float("-3.44073") @@ -4323,6 +4716,7 @@ class Program_weight_tensor_parameter_392: class Program_weight_tensor_parameter_393: name = "parameter_393" + original_name = "conv2d_50.w_0" shape = [128, 192, 1, 1] dtype = "float32" min_val = float("-0.364896") @@ -4334,6 +4728,7 @@ class Program_weight_tensor_parameter_393: class Program_weight_tensor_parameter_394: name = "parameter_394" + original_name = "batch_norm2d_47.b_0" shape = [192] dtype = "float32" min_val = float("-0.663117") @@ -4345,6 +4740,7 @@ class Program_weight_tensor_parameter_394: class Program_weight_tensor_parameter_395: name = "parameter_395" + original_name = "batch_norm2d_47.w_0" shape = [192] dtype = "float32" min_val = float("-0.487621") @@ -4356,6 +4752,7 @@ class Program_weight_tensor_parameter_395: class Program_weight_tensor_parameter_396: name = "parameter_396" + original_name = "batch_norm2d_47.w_2" shape = [192] dtype = "float32" min_val = float("0.00829716") @@ -4367,6 +4764,7 @@ class Program_weight_tensor_parameter_396: class Program_weight_tensor_parameter_397: name = "parameter_397" + original_name = "batch_norm2d_47.w_1" shape = [192] dtype = "float32" min_val = float("-0.310079") @@ -4378,6 +4776,7 @@ class Program_weight_tensor_parameter_397: class Program_weight_tensor_parameter_398: name = "parameter_398" + original_name = "conv2d_49.w_0" shape = [192, 384, 1, 1] dtype = "float32" min_val = float("-0.436763") @@ -4389,6 +4788,7 @@ class Program_weight_tensor_parameter_398: class Program_weight_tensor_parameter_399: name = "parameter_399" + original_name = "conv2d_48.b_0" shape = [384] dtype = "float32" min_val = float("-2.09795") @@ -4400,6 +4800,7 @@ class Program_weight_tensor_parameter_399: class Program_weight_tensor_parameter_400: name = "parameter_400" + original_name = "conv2d_48.w_0" shape = [384, 1, 3, 3] dtype = "float32" min_val = float("-0.504067") @@ -4411,6 +4812,7 @@ class Program_weight_tensor_parameter_400: class Program_weight_tensor_parameter_401: name = "parameter_401" + original_name = "batch_norm2d_46.b_0" shape = [384] dtype = "float32" min_val = float("-3.71581") @@ -4422,6 +4824,7 @@ class Program_weight_tensor_parameter_401: class Program_weight_tensor_parameter_402: name = "parameter_402" + original_name = "batch_norm2d_46.w_0" shape = [384] dtype = "float32" min_val = float("0.459213") @@ -4433,6 +4836,7 @@ class Program_weight_tensor_parameter_402: class Program_weight_tensor_parameter_403: name = "parameter_403" + original_name = "batch_norm2d_46.w_2" shape = [384] dtype = "float32" min_val = float("2.24748") @@ -4444,6 +4848,7 @@ class Program_weight_tensor_parameter_403: class Program_weight_tensor_parameter_404: name = "parameter_404" + original_name = "batch_norm2d_46.w_1" shape = [384] dtype = "float32" min_val = float("-2.73513") @@ -4455,6 +4860,7 @@ class Program_weight_tensor_parameter_404: class Program_weight_tensor_parameter_405: name = "parameter_405" + original_name = "conv2d_47.w_0" shape = [384, 192, 1, 1] dtype = "float32" min_val = float("-0.576944") @@ -4466,6 +4872,7 @@ class Program_weight_tensor_parameter_405: class Program_weight_tensor_parameter_406: name = "parameter_406" + original_name = "batch_norm2d_41.b_0" shape = [192] dtype = "float32" min_val = float("-3.43905") @@ -4477,6 +4884,7 @@ class Program_weight_tensor_parameter_406: class Program_weight_tensor_parameter_407: name = "parameter_407" + original_name = "batch_norm2d_41.w_0" shape = [192] dtype = "float32" min_val = float("-2.64728") @@ -4488,6 +4896,7 @@ class Program_weight_tensor_parameter_407: class Program_weight_tensor_parameter_408: name = "parameter_408" + original_name = "batch_norm2d_41.w_2" shape = [192] dtype = "float32" min_val = float("0.0869177") @@ -4499,6 +4908,7 @@ class Program_weight_tensor_parameter_408: class Program_weight_tensor_parameter_409: name = "parameter_409" + original_name = "batch_norm2d_41.w_1" shape = [192] dtype = "float32" min_val = float("-0.972837") @@ -4510,6 +4920,7 @@ class Program_weight_tensor_parameter_409: class Program_weight_tensor_parameter_410: name = "parameter_410" + original_name = "conv2d_42.w_0" shape = [192, 256, 1, 1] dtype = "float32" min_val = float("-0.382585") @@ -4521,6 +4932,7 @@ class Program_weight_tensor_parameter_410: class Program_weight_tensor_parameter_411: name = "parameter_411" + original_name = "batch_norm2d_43.b_0" shape = [256] dtype = "float32" min_val = float("-2.26468") @@ -4532,6 +4944,7 @@ class Program_weight_tensor_parameter_411: class Program_weight_tensor_parameter_412: name = "parameter_412" + original_name = "batch_norm2d_43.w_0" shape = [256] dtype = "float32" min_val = float("-1.25312") @@ -4543,6 +4956,7 @@ class Program_weight_tensor_parameter_412: class Program_weight_tensor_parameter_413: name = "parameter_413" + original_name = "batch_norm2d_43.w_2" shape = [256] dtype = "float32" min_val = float("0.00333989") @@ -4554,6 +4968,7 @@ class Program_weight_tensor_parameter_413: class Program_weight_tensor_parameter_414: name = "parameter_414" + original_name = "batch_norm2d_43.w_1" shape = [256] dtype = "float32" min_val = float("-0.697609") @@ -4565,6 +4980,7 @@ class Program_weight_tensor_parameter_414: class Program_weight_tensor_parameter_415: name = "parameter_415" + original_name = "conv2d_44.w_0" shape = [256, 256, 1, 1] dtype = "float32" min_val = float("-0.404951") @@ -4576,6 +4992,7 @@ class Program_weight_tensor_parameter_415: class Program_weight_tensor_parameter_416: name = "parameter_416" + original_name = "batch_norm2d_42.b_0" shape = [256] dtype = "float32" min_val = float("-2.26463") @@ -4587,6 +5004,7 @@ class Program_weight_tensor_parameter_416: class Program_weight_tensor_parameter_417: name = "parameter_417" + original_name = "batch_norm2d_42.w_0" shape = [256] dtype = "float32" min_val = float("-1.11569") @@ -4598,6 +5016,7 @@ class Program_weight_tensor_parameter_417: class Program_weight_tensor_parameter_418: name = "parameter_418" + original_name = "batch_norm2d_42.w_2" shape = [256] dtype = "float32" min_val = float("0.00330448") @@ -4609,6 +5028,7 @@ class Program_weight_tensor_parameter_418: class Program_weight_tensor_parameter_419: name = "parameter_419" + original_name = "batch_norm2d_42.w_1" shape = [256] dtype = "float32" min_val = float("-0.905779") @@ -4620,6 +5040,7 @@ class Program_weight_tensor_parameter_419: class Program_weight_tensor_parameter_420: name = "parameter_420" + original_name = "conv2d_43.w_0" shape = [256, 256, 1, 1] dtype = "float32" min_val = float("-0.442807") @@ -4631,6 +5052,7 @@ class Program_weight_tensor_parameter_420: class Program_weight_tensor_parameter_421: name = "parameter_421" + original_name = "batch_norm2d_45.b_0" shape = [192] dtype = "float32" min_val = float("-8.52949") @@ -4642,6 +5064,7 @@ class Program_weight_tensor_parameter_421: class Program_weight_tensor_parameter_422: name = "parameter_422" + original_name = "batch_norm2d_45.w_0" shape = [192] dtype = "float32" min_val = float("0.377577") @@ -4653,6 +5076,7 @@ class Program_weight_tensor_parameter_422: class Program_weight_tensor_parameter_423: name = "parameter_423" + original_name = "batch_norm2d_45.w_2" shape = [192] dtype = "float32" min_val = float("0.0562495") @@ -4664,6 +5088,7 @@ class Program_weight_tensor_parameter_423: class Program_weight_tensor_parameter_424: name = "parameter_424" + original_name = "batch_norm2d_45.w_1" shape = [192] dtype = "float32" min_val = float("-0.656445") @@ -4675,6 +5100,7 @@ class Program_weight_tensor_parameter_424: class Program_weight_tensor_parameter_425: name = "parameter_425" + original_name = "conv2d_46.w_0" shape = [192, 512, 1, 1] dtype = "float32" min_val = float("-0.499566") @@ -4686,6 +5112,7 @@ class Program_weight_tensor_parameter_425: class Program_weight_tensor_parameter_426: name = "parameter_426" + original_name = "batch_norm2d_44.b_0" shape = [512] dtype = "float32" min_val = float("-3.47595") @@ -4697,6 +5124,7 @@ class Program_weight_tensor_parameter_426: class Program_weight_tensor_parameter_427: name = "parameter_427" + original_name = "batch_norm2d_44.w_0" shape = [512] dtype = "float32" min_val = float("0.460851") @@ -4708,6 +5136,7 @@ class Program_weight_tensor_parameter_427: class Program_weight_tensor_parameter_428: name = "parameter_428" + original_name = "batch_norm2d_44.w_2" shape = [512] dtype = "float32" min_val = float("0.000402557") @@ -4719,6 +5148,7 @@ class Program_weight_tensor_parameter_428: class Program_weight_tensor_parameter_429: name = "parameter_429" + original_name = "batch_norm2d_44.w_1" shape = [512] dtype = "float32" min_val = float("-2.19771") @@ -4730,6 +5160,7 @@ class Program_weight_tensor_parameter_429: class Program_weight_tensor_parameter_430: name = "parameter_430" + original_name = "conv2d_45.w_0" shape = [512, 1, 3, 3] dtype = "float32" min_val = float("-0.449932") @@ -4741,6 +5172,7 @@ class Program_weight_tensor_parameter_430: class Program_weight_tensor_parameter_431: name = "parameter_431" + original_name = "batch_norm2d_40.b_0" shape = [256] dtype = "float32" min_val = float("-2.51423") @@ -4752,6 +5184,7 @@ class Program_weight_tensor_parameter_431: class Program_weight_tensor_parameter_432: name = "parameter_432" + original_name = "batch_norm2d_40.w_0" shape = [256] dtype = "float32" min_val = float("0.0990217") @@ -4763,6 +5196,7 @@ class Program_weight_tensor_parameter_432: class Program_weight_tensor_parameter_433: name = "parameter_433" + original_name = "batch_norm2d_40.w_2" shape = [256] dtype = "float32" min_val = float("1.7827") @@ -4774,6 +5208,7 @@ class Program_weight_tensor_parameter_433: class Program_weight_tensor_parameter_434: name = "parameter_434" + original_name = "batch_norm2d_40.w_1" shape = [256] dtype = "float32" min_val = float("-4.48331") @@ -4785,6 +5220,7 @@ class Program_weight_tensor_parameter_434: class Program_weight_tensor_parameter_435: name = "parameter_435" + original_name = "conv2d_41.w_0" shape = [256, 192, 1, 1] dtype = "float32" min_val = float("-0.564274") @@ -4796,6 +5232,7 @@ class Program_weight_tensor_parameter_435: class Program_weight_tensor_parameter_436: name = "parameter_436" + original_name = "batch_norm2d_39.b_0" shape = [128] dtype = "float32" min_val = float("-1.24236") @@ -4807,6 +5244,7 @@ class Program_weight_tensor_parameter_436: class Program_weight_tensor_parameter_437: name = "parameter_437" + original_name = "batch_norm2d_39.w_0" shape = [128] dtype = "float32" min_val = float("0.398663") @@ -4818,6 +5256,7 @@ class Program_weight_tensor_parameter_437: class Program_weight_tensor_parameter_438: name = "parameter_438" + original_name = "batch_norm2d_39.w_2" shape = [128] dtype = "float32" min_val = float("1.99626") @@ -4829,6 +5268,7 @@ class Program_weight_tensor_parameter_438: class Program_weight_tensor_parameter_439: name = "parameter_439" + original_name = "batch_norm2d_39.w_1" shape = [128] dtype = "float32" min_val = float("-5.12003") @@ -4840,6 +5280,7 @@ class Program_weight_tensor_parameter_439: class Program_weight_tensor_parameter_440: name = "parameter_440" + original_name = "conv2d_40.w_0" shape = [128, 192, 1, 1] dtype = "float32" min_val = float("-0.426841") @@ -4851,6 +5292,7 @@ class Program_weight_tensor_parameter_440: class Program_weight_tensor_parameter_441: name = "parameter_441" + original_name = "batch_norm2d_38.b_0" shape = [128] dtype = "float32" min_val = float("-2.43076") @@ -4862,6 +5304,7 @@ class Program_weight_tensor_parameter_441: class Program_weight_tensor_parameter_442: name = "parameter_442" + original_name = "batch_norm2d_38.w_0" shape = [128] dtype = "float32" min_val = float("0.420167") @@ -4873,6 +5316,7 @@ class Program_weight_tensor_parameter_442: class Program_weight_tensor_parameter_443: name = "parameter_443" + original_name = "batch_norm2d_38.w_2" shape = [128] dtype = "float32" min_val = float("2.09208") @@ -4884,6 +5328,7 @@ class Program_weight_tensor_parameter_443: class Program_weight_tensor_parameter_444: name = "parameter_444" + original_name = "batch_norm2d_38.w_1" shape = [128] dtype = "float32" min_val = float("-3.48908") @@ -4895,6 +5340,7 @@ class Program_weight_tensor_parameter_444: class Program_weight_tensor_parameter_445: name = "parameter_445" + original_name = "conv2d_39.w_0" shape = [128, 192, 1, 1] dtype = "float32" min_val = float("-0.447854") @@ -4906,6 +5352,7 @@ class Program_weight_tensor_parameter_445: class Program_weight_tensor_parameter_446: name = "parameter_446" + original_name = "batch_norm2d_37.b_0" shape = [192] dtype = "float32" min_val = float("-0.00253299") @@ -4917,6 +5364,7 @@ class Program_weight_tensor_parameter_446: class Program_weight_tensor_parameter_447: name = "parameter_447" + original_name = "batch_norm2d_37.w_0" shape = [192] dtype = "float32" min_val = float("-0.404273") @@ -4928,6 +5376,7 @@ class Program_weight_tensor_parameter_447: class Program_weight_tensor_parameter_448: name = "parameter_448" + original_name = "batch_norm2d_37.w_2" shape = [192] dtype = "float32" min_val = float("0.0184272") @@ -4939,6 +5388,7 @@ class Program_weight_tensor_parameter_448: class Program_weight_tensor_parameter_449: name = "parameter_449" + original_name = "batch_norm2d_37.w_1" shape = [192] dtype = "float32" min_val = float("-0.539406") @@ -4950,6 +5400,7 @@ class Program_weight_tensor_parameter_449: class Program_weight_tensor_parameter_450: name = "parameter_450" + original_name = "conv2d_38.w_0" shape = [192, 384, 1, 1] dtype = "float32" min_val = float("-0.508454") @@ -4961,6 +5412,7 @@ class Program_weight_tensor_parameter_450: class Program_weight_tensor_parameter_451: name = "parameter_451" + original_name = "conv2d_37.b_0" shape = [384] dtype = "float32" min_val = float("-2.01899") @@ -4972,6 +5424,7 @@ class Program_weight_tensor_parameter_451: class Program_weight_tensor_parameter_452: name = "parameter_452" + original_name = "conv2d_37.w_0" shape = [384, 1, 3, 3] dtype = "float32" min_val = float("-0.54935") @@ -4983,6 +5436,7 @@ class Program_weight_tensor_parameter_452: class Program_weight_tensor_parameter_453: name = "parameter_453" + original_name = "batch_norm2d_36.b_0" shape = [384] dtype = "float32" min_val = float("-4.60106") @@ -4994,6 +5448,7 @@ class Program_weight_tensor_parameter_453: class Program_weight_tensor_parameter_454: name = "parameter_454" + original_name = "batch_norm2d_36.w_0" shape = [384] dtype = "float32" min_val = float("0.748219") @@ -5005,6 +5460,7 @@ class Program_weight_tensor_parameter_454: class Program_weight_tensor_parameter_455: name = "parameter_455" + original_name = "batch_norm2d_36.w_2" shape = [384] dtype = "float32" min_val = float("2.08044") @@ -5016,6 +5472,7 @@ class Program_weight_tensor_parameter_455: class Program_weight_tensor_parameter_456: name = "parameter_456" + original_name = "batch_norm2d_36.w_1" shape = [384] dtype = "float32" min_val = float("-4.26485") @@ -5027,6 +5484,7 @@ class Program_weight_tensor_parameter_456: class Program_weight_tensor_parameter_457: name = "parameter_457" + original_name = "conv2d_36.w_0" shape = [384, 192, 1, 1] dtype = "float32" min_val = float("-0.921806") @@ -5038,6 +5496,7 @@ class Program_weight_tensor_parameter_457: class Program_weight_tensor_parameter_458: name = "parameter_458" + original_name = "batch_norm2d_31.b_0" shape = [192] dtype = "float32" min_val = float("-5.39403") @@ -5049,6 +5508,7 @@ class Program_weight_tensor_parameter_458: class Program_weight_tensor_parameter_459: name = "parameter_459" + original_name = "batch_norm2d_31.w_0" shape = [192] dtype = "float32" min_val = float("-3.7886") @@ -5060,6 +5520,7 @@ class Program_weight_tensor_parameter_459: class Program_weight_tensor_parameter_460: name = "parameter_460" + original_name = "batch_norm2d_31.w_2" shape = [192] dtype = "float32" min_val = float("0.131239") @@ -5071,6 +5532,7 @@ class Program_weight_tensor_parameter_460: class Program_weight_tensor_parameter_461: name = "parameter_461" + original_name = "batch_norm2d_31.w_1" shape = [192] dtype = "float32" min_val = float("-2.44442") @@ -5082,6 +5544,7 @@ class Program_weight_tensor_parameter_461: class Program_weight_tensor_parameter_462: name = "parameter_462" + original_name = "conv2d_31.w_0" shape = [192, 256, 1, 1] dtype = "float32" min_val = float("-0.715353") @@ -5093,6 +5556,7 @@ class Program_weight_tensor_parameter_462: class Program_weight_tensor_parameter_463: name = "parameter_463" + original_name = "batch_norm2d_33.b_0" shape = [256] dtype = "float32" min_val = float("-6.577") @@ -5104,6 +5568,7 @@ class Program_weight_tensor_parameter_463: class Program_weight_tensor_parameter_464: name = "parameter_464" + original_name = "batch_norm2d_33.w_0" shape = [256] dtype = "float32" min_val = float("-1.86917") @@ -5115,6 +5580,7 @@ class Program_weight_tensor_parameter_464: class Program_weight_tensor_parameter_465: name = "parameter_465" + original_name = "batch_norm2d_33.w_2" shape = [256] dtype = "float32" min_val = float("0.0341843") @@ -5126,6 +5592,7 @@ class Program_weight_tensor_parameter_465: class Program_weight_tensor_parameter_466: name = "parameter_466" + original_name = "batch_norm2d_33.w_1" shape = [256] dtype = "float32" min_val = float("-2.18445") @@ -5137,6 +5604,7 @@ class Program_weight_tensor_parameter_466: class Program_weight_tensor_parameter_467: name = "parameter_467" + original_name = "conv2d_33.w_0" shape = [256, 256, 1, 1] dtype = "float32" min_val = float("-0.465419") @@ -5148,6 +5616,7 @@ class Program_weight_tensor_parameter_467: class Program_weight_tensor_parameter_468: name = "parameter_468" + original_name = "batch_norm2d_32.b_0" shape = [256] dtype = "float32" min_val = float("-6.57694") @@ -5159,6 +5628,7 @@ class Program_weight_tensor_parameter_468: class Program_weight_tensor_parameter_469: name = "parameter_469" + original_name = "batch_norm2d_32.w_0" shape = [256] dtype = "float32" min_val = float("-2.63397") @@ -5170,6 +5640,7 @@ class Program_weight_tensor_parameter_469: class Program_weight_tensor_parameter_470: name = "parameter_470" + original_name = "batch_norm2d_32.w_2" shape = [256] dtype = "float32" min_val = float("0.0341275") @@ -5181,6 +5652,7 @@ class Program_weight_tensor_parameter_470: class Program_weight_tensor_parameter_471: name = "parameter_471" + original_name = "batch_norm2d_32.w_1" shape = [256] dtype = "float32" min_val = float("-1.76635") @@ -5192,6 +5664,7 @@ class Program_weight_tensor_parameter_471: class Program_weight_tensor_parameter_472: name = "parameter_472" + original_name = "conv2d_32.w_0" shape = [256, 256, 1, 1] dtype = "float32" min_val = float("-0.563237") @@ -5203,6 +5676,7 @@ class Program_weight_tensor_parameter_472: class Program_weight_tensor_parameter_473: name = "parameter_473" + original_name = "batch_norm2d_35.b_0" shape = [192] dtype = "float32" min_val = float("-11.7521") @@ -5214,6 +5688,7 @@ class Program_weight_tensor_parameter_473: class Program_weight_tensor_parameter_474: name = "parameter_474" + original_name = "batch_norm2d_35.w_0" shape = [192] dtype = "float32" min_val = float("0.754008") @@ -5225,6 +5700,7 @@ class Program_weight_tensor_parameter_474: class Program_weight_tensor_parameter_475: name = "parameter_475" + original_name = "batch_norm2d_35.w_2" shape = [192] dtype = "float32" min_val = float("0.194266") @@ -5236,6 +5712,7 @@ class Program_weight_tensor_parameter_475: class Program_weight_tensor_parameter_476: name = "parameter_476" + original_name = "batch_norm2d_35.w_1" shape = [192] dtype = "float32" min_val = float("-1.74006") @@ -5247,6 +5724,7 @@ class Program_weight_tensor_parameter_476: class Program_weight_tensor_parameter_477: name = "parameter_477" + original_name = "conv2d_35.w_0" shape = [192, 512, 1, 1] dtype = "float32" min_val = float("-0.985883") @@ -5258,6 +5736,7 @@ class Program_weight_tensor_parameter_477: class Program_weight_tensor_parameter_478: name = "parameter_478" + original_name = "batch_norm2d_34.b_0" shape = [512] dtype = "float32" min_val = float("-6.28297") @@ -5269,6 +5748,7 @@ class Program_weight_tensor_parameter_478: class Program_weight_tensor_parameter_479: name = "parameter_479" + original_name = "batch_norm2d_34.w_0" shape = [512] dtype = "float32" min_val = float("0.541938") @@ -5280,6 +5760,7 @@ class Program_weight_tensor_parameter_479: class Program_weight_tensor_parameter_480: name = "parameter_480" + original_name = "batch_norm2d_34.w_2" shape = [512] dtype = "float32" min_val = float("0.00936178") @@ -5291,6 +5772,7 @@ class Program_weight_tensor_parameter_480: class Program_weight_tensor_parameter_481: name = "parameter_481" + original_name = "batch_norm2d_34.w_1" shape = [512] dtype = "float32" min_val = float("-5.47904") @@ -5302,6 +5784,7 @@ class Program_weight_tensor_parameter_481: class Program_weight_tensor_parameter_482: name = "parameter_482" + original_name = "conv2d_34.w_0" shape = [512, 1, 3, 3] dtype = "float32" min_val = float("-0.487843") @@ -5313,6 +5796,7 @@ class Program_weight_tensor_parameter_482: class Program_weight_tensor_parameter_483: name = "parameter_483" + original_name = "batch_norm2d_30.b_0" shape = [256] dtype = "float32" min_val = float("-3.54703") @@ -5324,6 +5808,7 @@ class Program_weight_tensor_parameter_483: class Program_weight_tensor_parameter_484: name = "parameter_484" + original_name = "batch_norm2d_30.w_0" shape = [256] dtype = "float32" min_val = float("0.34017") @@ -5335,6 +5820,7 @@ class Program_weight_tensor_parameter_484: class Program_weight_tensor_parameter_485: name = "parameter_485" + original_name = "batch_norm2d_30.w_2" shape = [256] dtype = "float32" min_val = float("2.00998") @@ -5346,6 +5832,7 @@ class Program_weight_tensor_parameter_485: class Program_weight_tensor_parameter_486: name = "parameter_486" + original_name = "batch_norm2d_30.w_1" shape = [256] dtype = "float32" min_val = float("-0.00825529") @@ -5357,6 +5844,7 @@ class Program_weight_tensor_parameter_486: class Program_weight_tensor_parameter_487: name = "parameter_487" + original_name = "conv2d_30.w_0" shape = [256, 192, 1, 1] dtype = "float32" min_val = float("-1.98372") @@ -5368,6 +5856,7 @@ class Program_weight_tensor_parameter_487: class Program_weight_tensor_parameter_488: name = "parameter_488" + original_name = "batch_norm2d_29.b_0" shape = [128] dtype = "float32" min_val = float("-0.935519") @@ -5379,6 +5868,7 @@ class Program_weight_tensor_parameter_488: class Program_weight_tensor_parameter_489: name = "parameter_489" + original_name = "batch_norm2d_29.w_0" shape = [128] dtype = "float32" min_val = float("0.253949") @@ -5390,6 +5880,7 @@ class Program_weight_tensor_parameter_489: class Program_weight_tensor_parameter_490: name = "parameter_490" + original_name = "batch_norm2d_29.w_2" shape = [128] dtype = "float32" min_val = float("1.60619") @@ -5401,6 +5892,7 @@ class Program_weight_tensor_parameter_490: class Program_weight_tensor_parameter_491: name = "parameter_491" + original_name = "batch_norm2d_29.w_1" shape = [128] dtype = "float32" min_val = float("-0.00525885") @@ -5412,6 +5904,7 @@ class Program_weight_tensor_parameter_491: class Program_weight_tensor_parameter_492: name = "parameter_492" + original_name = "conv2d_29.w_0" shape = [128, 192, 1, 1] dtype = "float32" min_val = float("-0.564718") @@ -5423,6 +5916,7 @@ class Program_weight_tensor_parameter_492: class Program_weight_tensor_parameter_493: name = "parameter_493" + original_name = "batch_norm2d_28.b_0" shape = [128] dtype = "float32" min_val = float("-2.22974") @@ -5434,6 +5928,7 @@ class Program_weight_tensor_parameter_493: class Program_weight_tensor_parameter_494: name = "parameter_494" + original_name = "batch_norm2d_28.w_0" shape = [128] dtype = "float32" min_val = float("0.256914") @@ -5445,6 +5940,7 @@ class Program_weight_tensor_parameter_494: class Program_weight_tensor_parameter_495: name = "parameter_495" + original_name = "batch_norm2d_28.w_2" shape = [128] dtype = "float32" min_val = float("0.772038") @@ -5456,6 +5952,7 @@ class Program_weight_tensor_parameter_495: class Program_weight_tensor_parameter_496: name = "parameter_496" + original_name = "batch_norm2d_28.w_1" shape = [128] dtype = "float32" min_val = float("-0.00444755") @@ -5467,6 +5964,7 @@ class Program_weight_tensor_parameter_496: class Program_weight_tensor_parameter_497: name = "parameter_497" + original_name = "conv2d_28.w_0" shape = [128, 192, 1, 1] dtype = "float32" min_val = float("-0.662259") @@ -5478,6 +5976,7 @@ class Program_weight_tensor_parameter_497: class Program_weight_tensor_parameter_498: name = "parameter_498" + original_name = "batch_norm2d_21.b_0" shape = [192] dtype = "float32" min_val = float("-0.0043859") @@ -5489,6 +5988,7 @@ class Program_weight_tensor_parameter_498: class Program_weight_tensor_parameter_499: name = "parameter_499" + original_name = "batch_norm2d_21.w_0" shape = [192] dtype = "float32" min_val = float("-0.37116") @@ -5500,6 +6000,7 @@ class Program_weight_tensor_parameter_499: class Program_weight_tensor_parameter_500: name = "parameter_500" + original_name = "batch_norm2d_21.w_2" shape = [192] dtype = "float32" min_val = float("0.086575") @@ -5511,6 +6012,7 @@ class Program_weight_tensor_parameter_500: class Program_weight_tensor_parameter_501: name = "parameter_501" + original_name = "batch_norm2d_21.w_1" shape = [192] dtype = "float32" min_val = float("-2.18895") @@ -5522,6 +6024,7 @@ class Program_weight_tensor_parameter_501: class Program_weight_tensor_parameter_502: name = "parameter_502" + original_name = "conv2d_21.w_0" shape = [192, 768, 1, 1] dtype = "float32" min_val = float("-0.493762") @@ -5533,6 +6036,7 @@ class Program_weight_tensor_parameter_502: class Program_weight_tensor_parameter_503: name = "parameter_503" + original_name = "batch_norm2d_20.b_0" shape = [768] dtype = "float32" min_val = float("-4.70052") @@ -5544,6 +6048,7 @@ class Program_weight_tensor_parameter_503: class Program_weight_tensor_parameter_504: name = "parameter_504" + original_name = "batch_norm2d_20.w_0" shape = [768] dtype = "float32" min_val = float("0.27206") @@ -5555,6 +6060,7 @@ class Program_weight_tensor_parameter_504: class Program_weight_tensor_parameter_505: name = "parameter_505" + original_name = "batch_norm2d_20.w_2" shape = [768] dtype = "float32" min_val = float("5.60519e-45") @@ -5566,6 +6072,7 @@ class Program_weight_tensor_parameter_505: class Program_weight_tensor_parameter_506: name = "parameter_506" + original_name = "batch_norm2d_20.w_1" shape = [768] dtype = "float32" min_val = float("-4.70767") @@ -5577,6 +6084,7 @@ class Program_weight_tensor_parameter_506: class Program_weight_tensor_parameter_507: name = "parameter_507" + original_name = "conv2d_20.w_0" shape = [768, 1, 3, 3] dtype = "float32" min_val = float("-0.525494") @@ -5588,6 +6096,7 @@ class Program_weight_tensor_parameter_507: class Program_weight_tensor_parameter_508: name = "parameter_508" + original_name = "batch_norm2d_19.b_0" shape = [768] dtype = "float32" min_val = float("-3.39529") @@ -5599,6 +6108,7 @@ class Program_weight_tensor_parameter_508: class Program_weight_tensor_parameter_509: name = "parameter_509" + original_name = "batch_norm2d_19.w_0" shape = [768] dtype = "float32" min_val = float("0.0436978") @@ -5610,6 +6120,7 @@ class Program_weight_tensor_parameter_509: class Program_weight_tensor_parameter_510: name = "parameter_510" + original_name = "batch_norm2d_19.w_2" shape = [768] dtype = "float32" min_val = float("5.60519e-45") @@ -5621,6 +6132,7 @@ class Program_weight_tensor_parameter_510: class Program_weight_tensor_parameter_511: name = "parameter_511" + original_name = "batch_norm2d_19.w_1" shape = [768] dtype = "float32" min_val = float("-0.00264695") @@ -5632,6 +6144,7 @@ class Program_weight_tensor_parameter_511: class Program_weight_tensor_parameter_512: name = "parameter_512" + original_name = "conv2d_19.w_0" shape = [768, 192, 1, 1] dtype = "float32" min_val = float("-0.593507") @@ -5643,6 +6156,7 @@ class Program_weight_tensor_parameter_512: class Program_weight_tensor_parameter_513: name = "parameter_513" + original_name = "batch_norm2d_18.b_0" shape = [192] dtype = "float32" min_val = float("-0.00353233") @@ -5654,6 +6168,7 @@ class Program_weight_tensor_parameter_513: class Program_weight_tensor_parameter_514: name = "parameter_514" + original_name = "batch_norm2d_18.w_0" shape = [192] dtype = "float32" min_val = float("0.555361") @@ -5665,6 +6180,7 @@ class Program_weight_tensor_parameter_514: class Program_weight_tensor_parameter_515: name = "parameter_515" + original_name = "batch_norm2d_18.w_2" shape = [192] dtype = "float32" min_val = float("2.08919") @@ -5676,6 +6192,7 @@ class Program_weight_tensor_parameter_515: class Program_weight_tensor_parameter_516: name = "parameter_516" + original_name = "batch_norm2d_18.w_1" shape = [192] dtype = "float32" min_val = float("-13.4359") @@ -5687,6 +6204,7 @@ class Program_weight_tensor_parameter_516: class Program_weight_tensor_parameter_517: name = "parameter_517" + original_name = "conv2d_18.w_0" shape = [192, 512, 1, 1] dtype = "float32" min_val = float("-1.01869") @@ -5698,6 +6216,7 @@ class Program_weight_tensor_parameter_517: class Program_weight_tensor_parameter_518: name = "parameter_518" + original_name = "batch_norm2d_17.b_0" shape = [512] dtype = "float32" min_val = float("-4.36406") @@ -5709,6 +6228,7 @@ class Program_weight_tensor_parameter_518: class Program_weight_tensor_parameter_519: name = "parameter_519" + original_name = "batch_norm2d_17.w_0" shape = [512] dtype = "float32" min_val = float("0.805398") @@ -5720,6 +6240,7 @@ class Program_weight_tensor_parameter_519: class Program_weight_tensor_parameter_520: name = "parameter_520" + original_name = "batch_norm2d_17.w_2" shape = [512] dtype = "float32" min_val = float("5.60519e-45") @@ -5731,6 +6252,7 @@ class Program_weight_tensor_parameter_520: class Program_weight_tensor_parameter_521: name = "parameter_521" + original_name = "batch_norm2d_17.w_1" shape = [512] dtype = "float32" min_val = float("-2.13296") @@ -5742,6 +6264,7 @@ class Program_weight_tensor_parameter_521: class Program_weight_tensor_parameter_522: name = "parameter_522" + original_name = "conv2d_17.w_0" shape = [512, 1, 3, 3] dtype = "float32" min_val = float("-0.32893") @@ -5753,6 +6276,7 @@ class Program_weight_tensor_parameter_522: class Program_weight_tensor_parameter_523: name = "parameter_523" + original_name = "batch_norm2d_16.b_0" shape = [512] dtype = "float32" min_val = float("-3.9817") @@ -5764,6 +6288,7 @@ class Program_weight_tensor_parameter_523: class Program_weight_tensor_parameter_524: name = "parameter_524" + original_name = "batch_norm2d_16.w_0" shape = [512] dtype = "float32" min_val = float("-0.155299") @@ -5775,6 +6300,7 @@ class Program_weight_tensor_parameter_524: class Program_weight_tensor_parameter_525: name = "parameter_525" + original_name = "batch_norm2d_16.w_2" shape = [512] dtype = "float32" min_val = float("5.60519e-45") @@ -5786,6 +6312,7 @@ class Program_weight_tensor_parameter_525: class Program_weight_tensor_parameter_526: name = "parameter_526" + original_name = "batch_norm2d_16.w_1" shape = [512] dtype = "float32" min_val = float("-0.00635743") @@ -5797,6 +6324,7 @@ class Program_weight_tensor_parameter_526: class Program_weight_tensor_parameter_527: name = "parameter_527" + original_name = "conv2d_16.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.894996") @@ -5808,6 +6336,7 @@ class Program_weight_tensor_parameter_527: class Program_weight_tensor_parameter_528: name = "parameter_528" + original_name = "batch_norm2d_15.b_0" shape = [128] dtype = "float32" min_val = float("-0.00174703") @@ -5819,6 +6348,7 @@ class Program_weight_tensor_parameter_528: class Program_weight_tensor_parameter_529: name = "parameter_529" + original_name = "batch_norm2d_15.w_0" shape = [128] dtype = "float32" min_val = float("-0.397975") @@ -5830,6 +6360,7 @@ class Program_weight_tensor_parameter_529: class Program_weight_tensor_parameter_530: name = "parameter_530" + original_name = "batch_norm2d_15.w_2" shape = [128] dtype = "float32" min_val = float("0.462301") @@ -5841,6 +6372,7 @@ class Program_weight_tensor_parameter_530: class Program_weight_tensor_parameter_531: name = "parameter_531" + original_name = "batch_norm2d_15.w_1" shape = [128] dtype = "float32" min_val = float("-3.2773") @@ -5852,6 +6384,7 @@ class Program_weight_tensor_parameter_531: class Program_weight_tensor_parameter_532: name = "parameter_532" + original_name = "conv2d_15.w_0" shape = [128, 512, 1, 1] dtype = "float32" min_val = float("-0.538039") @@ -5863,6 +6396,7 @@ class Program_weight_tensor_parameter_532: class Program_weight_tensor_parameter_533: name = "parameter_533" + original_name = "batch_norm2d_14.b_0" shape = [512] dtype = "float32" min_val = float("-8.95949") @@ -5874,6 +6408,7 @@ class Program_weight_tensor_parameter_533: class Program_weight_tensor_parameter_534: name = "parameter_534" + original_name = "batch_norm2d_14.w_0" shape = [512] dtype = "float32" min_val = float("0.450742") @@ -5885,6 +6420,7 @@ class Program_weight_tensor_parameter_534: class Program_weight_tensor_parameter_535: name = "parameter_535" + original_name = "batch_norm2d_14.w_2" shape = [512] dtype = "float32" min_val = float("5.60519e-45") @@ -5896,6 +6432,7 @@ class Program_weight_tensor_parameter_535: class Program_weight_tensor_parameter_536: name = "parameter_536" + original_name = "batch_norm2d_14.w_1" shape = [512] dtype = "float32" min_val = float("-8.27243") @@ -5907,6 +6444,7 @@ class Program_weight_tensor_parameter_536: class Program_weight_tensor_parameter_537: name = "parameter_537" + original_name = "conv2d_14.w_0" shape = [512, 1, 5, 5] dtype = "float32" min_val = float("-0.860364") @@ -5918,6 +6456,7 @@ class Program_weight_tensor_parameter_537: class Program_weight_tensor_parameter_538: name = "parameter_538" + original_name = "batch_norm2d_13.b_0" shape = [512] dtype = "float32" min_val = float("-2.98845") @@ -5929,6 +6468,7 @@ class Program_weight_tensor_parameter_538: class Program_weight_tensor_parameter_539: name = "parameter_539" + original_name = "batch_norm2d_13.w_0" shape = [512] dtype = "float32" min_val = float("-0.0989321") @@ -5940,6 +6480,7 @@ class Program_weight_tensor_parameter_539: class Program_weight_tensor_parameter_540: name = "parameter_540" + original_name = "batch_norm2d_13.w_2" shape = [512] dtype = "float32" min_val = float("5.60519e-45") @@ -5951,6 +6492,7 @@ class Program_weight_tensor_parameter_540: class Program_weight_tensor_parameter_541: name = "parameter_541" + original_name = "batch_norm2d_13.w_1" shape = [512] dtype = "float32" min_val = float("-0.00247494") @@ -5962,6 +6504,7 @@ class Program_weight_tensor_parameter_541: class Program_weight_tensor_parameter_542: name = "parameter_542" + original_name = "conv2d_13.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.472944") @@ -5973,6 +6516,7 @@ class Program_weight_tensor_parameter_542: class Program_weight_tensor_parameter_543: name = "parameter_543" + original_name = "batch_norm2d_12.b_0" shape = [128] dtype = "float32" min_val = float("-0.00239798") @@ -5984,6 +6528,7 @@ class Program_weight_tensor_parameter_543: class Program_weight_tensor_parameter_544: name = "parameter_544" + original_name = "batch_norm2d_12.w_0" shape = [128] dtype = "float32" min_val = float("0.324123") @@ -5995,6 +6540,7 @@ class Program_weight_tensor_parameter_544: class Program_weight_tensor_parameter_545: name = "parameter_545" + original_name = "batch_norm2d_12.w_2" shape = [128] dtype = "float32" min_val = float("0.900389") @@ -6006,6 +6552,7 @@ class Program_weight_tensor_parameter_545: class Program_weight_tensor_parameter_546: name = "parameter_546" + original_name = "batch_norm2d_12.w_1" shape = [128] dtype = "float32" min_val = float("-15.6566") @@ -6017,6 +6564,7 @@ class Program_weight_tensor_parameter_546: class Program_weight_tensor_parameter_547: name = "parameter_547" + original_name = "conv2d_12.w_0" shape = [128, 256, 1, 1] dtype = "float32" min_val = float("-0.730066") @@ -6028,6 +6576,7 @@ class Program_weight_tensor_parameter_547: class Program_weight_tensor_parameter_548: name = "parameter_548" + original_name = "batch_norm2d_11.b_0" shape = [256] dtype = "float32" min_val = float("-4.09682") @@ -6039,6 +6588,7 @@ class Program_weight_tensor_parameter_548: class Program_weight_tensor_parameter_549: name = "parameter_549" + original_name = "batch_norm2d_11.w_0" shape = [256] dtype = "float32" min_val = float("1.13877") @@ -6050,6 +6600,7 @@ class Program_weight_tensor_parameter_549: class Program_weight_tensor_parameter_550: name = "parameter_550" + original_name = "batch_norm2d_11.w_2" shape = [256] dtype = "float32" min_val = float("0.0239029") @@ -6061,6 +6612,7 @@ class Program_weight_tensor_parameter_550: class Program_weight_tensor_parameter_551: name = "parameter_551" + original_name = "batch_norm2d_11.w_1" shape = [256] dtype = "float32" min_val = float("-6.0703") @@ -6072,6 +6624,7 @@ class Program_weight_tensor_parameter_551: class Program_weight_tensor_parameter_552: name = "parameter_552" + original_name = "conv2d_11.w_0" shape = [256, 1, 5, 5] dtype = "float32" min_val = float("-0.482608") @@ -6083,6 +6636,7 @@ class Program_weight_tensor_parameter_552: class Program_weight_tensor_parameter_553: name = "parameter_553" + original_name = "batch_norm2d_10.b_0" shape = [256] dtype = "float32" min_val = float("-4.24843") @@ -6094,6 +6648,7 @@ class Program_weight_tensor_parameter_553: class Program_weight_tensor_parameter_554: name = "parameter_554" + original_name = "batch_norm2d_10.w_0" shape = [256] dtype = "float32" min_val = float("0.681352") @@ -6105,6 +6660,7 @@ class Program_weight_tensor_parameter_554: class Program_weight_tensor_parameter_555: name = "parameter_555" + original_name = "batch_norm2d_10.w_2" shape = [256] dtype = "float32" min_val = float("11.664") @@ -6116,6 +6672,7 @@ class Program_weight_tensor_parameter_555: class Program_weight_tensor_parameter_556: name = "parameter_556" + original_name = "batch_norm2d_10.w_1" shape = [256] dtype = "float32" min_val = float("-0.0100612") @@ -6127,6 +6684,7 @@ class Program_weight_tensor_parameter_556: class Program_weight_tensor_parameter_557: name = "parameter_557" + original_name = "conv2d_10.w_0" shape = [256, 64, 1, 1] dtype = "float32" min_val = float("-1.34637") @@ -6138,6 +6696,7 @@ class Program_weight_tensor_parameter_557: class Program_weight_tensor_parameter_558: name = "parameter_558" + original_name = "batch_norm2d_9.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -6147,6 +6706,7 @@ class Program_weight_tensor_parameter_558: class Program_weight_tensor_parameter_559: name = "parameter_559" + original_name = "batch_norm2d_9.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -6156,6 +6716,7 @@ class Program_weight_tensor_parameter_559: class Program_weight_tensor_parameter_560: name = "parameter_560" + original_name = "batch_norm2d_9.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -6165,6 +6726,7 @@ class Program_weight_tensor_parameter_560: class Program_weight_tensor_parameter_561: name = "parameter_561" + original_name = "batch_norm2d_9.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -6174,6 +6736,7 @@ class Program_weight_tensor_parameter_561: class Program_weight_tensor_parameter_562: name = "parameter_562" + original_name = "conv2d_9.w_0" shape = [64, 256, 1, 1] dtype = "float32" min_val = float("-0.589267") @@ -6185,6 +6748,7 @@ class Program_weight_tensor_parameter_562: class Program_weight_tensor_parameter_563: name = "parameter_563" + original_name = "batch_norm2d_8.b_0" shape = [256] dtype = "float32" min_val = float("-7.12632") @@ -6196,6 +6760,7 @@ class Program_weight_tensor_parameter_563: class Program_weight_tensor_parameter_564: name = "parameter_564" + original_name = "batch_norm2d_8.w_0" shape = [256] dtype = "float32" min_val = float("0.808318") @@ -6207,6 +6772,7 @@ class Program_weight_tensor_parameter_564: class Program_weight_tensor_parameter_565: name = "parameter_565" + original_name = "batch_norm2d_8.w_2" shape = [256] dtype = "float32" min_val = float("5.60519e-45") @@ -6218,6 +6784,7 @@ class Program_weight_tensor_parameter_565: class Program_weight_tensor_parameter_566: name = "parameter_566" + original_name = "batch_norm2d_8.w_1" shape = [256] dtype = "float32" min_val = float("-13.165") @@ -6229,6 +6796,7 @@ class Program_weight_tensor_parameter_566: class Program_weight_tensor_parameter_567: name = "parameter_567" + original_name = "conv2d_8.w_0" shape = [256, 1, 3, 3] dtype = "float32" min_val = float("-1.05711") @@ -6240,6 +6808,7 @@ class Program_weight_tensor_parameter_567: class Program_weight_tensor_parameter_568: name = "parameter_568" + original_name = "batch_norm2d_7.b_0" shape = [256] dtype = "float32" min_val = float("-3.59158") @@ -6251,6 +6820,7 @@ class Program_weight_tensor_parameter_568: class Program_weight_tensor_parameter_569: name = "parameter_569" + original_name = "batch_norm2d_7.w_0" shape = [256] dtype = "float32" min_val = float("-0.022562") @@ -6262,6 +6832,7 @@ class Program_weight_tensor_parameter_569: class Program_weight_tensor_parameter_570: name = "parameter_570" + original_name = "batch_norm2d_7.w_2" shape = [256] dtype = "float32" min_val = float("5.60519e-45") @@ -6273,6 +6844,7 @@ class Program_weight_tensor_parameter_570: class Program_weight_tensor_parameter_571: name = "parameter_571" + original_name = "batch_norm2d_7.w_1" shape = [256] dtype = "float32" min_val = float("-0.00675931") @@ -6284,6 +6856,7 @@ class Program_weight_tensor_parameter_571: class Program_weight_tensor_parameter_572: name = "parameter_572" + original_name = "conv2d_7.w_0" shape = [256, 64, 1, 1] dtype = "float32" min_val = float("-0.826805") @@ -6295,6 +6868,7 @@ class Program_weight_tensor_parameter_572: class Program_weight_tensor_parameter_573: name = "parameter_573" + original_name = "batch_norm2d_6.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -6304,6 +6878,7 @@ class Program_weight_tensor_parameter_573: class Program_weight_tensor_parameter_574: name = "parameter_574" + original_name = "batch_norm2d_6.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -6313,6 +6888,7 @@ class Program_weight_tensor_parameter_574: class Program_weight_tensor_parameter_575: name = "parameter_575" + original_name = "batch_norm2d_6.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -6322,6 +6898,7 @@ class Program_weight_tensor_parameter_575: class Program_weight_tensor_parameter_576: name = "parameter_576" + original_name = "batch_norm2d_6.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -6331,6 +6908,7 @@ class Program_weight_tensor_parameter_576: class Program_weight_tensor_parameter_577: name = "parameter_577" + original_name = "conv2d_6.w_0" shape = [64, 128, 1, 1] dtype = "float32" min_val = float("-1.14281") @@ -6342,6 +6920,7 @@ class Program_weight_tensor_parameter_577: class Program_weight_tensor_parameter_578: name = "parameter_578" + original_name = "batch_norm2d_5.b_0" shape = [128] dtype = "float32" min_val = float("-1.90779") @@ -6353,6 +6932,7 @@ class Program_weight_tensor_parameter_578: class Program_weight_tensor_parameter_579: name = "parameter_579" + original_name = "batch_norm2d_5.w_0" shape = [128] dtype = "float32" min_val = float("1.29441") @@ -6364,6 +6944,7 @@ class Program_weight_tensor_parameter_579: class Program_weight_tensor_parameter_580: name = "parameter_580" + original_name = "batch_norm2d_5.w_2" shape = [128] dtype = "float32" min_val = float("0.141417") @@ -6375,6 +6956,7 @@ class Program_weight_tensor_parameter_580: class Program_weight_tensor_parameter_581: name = "parameter_581" + original_name = "batch_norm2d_5.w_1" shape = [128] dtype = "float32" min_val = float("-6.10813") @@ -6386,6 +6968,7 @@ class Program_weight_tensor_parameter_581: class Program_weight_tensor_parameter_582: name = "parameter_582" + original_name = "conv2d_5.w_0" shape = [128, 1, 3, 3] dtype = "float32" min_val = float("-0.662406") @@ -6397,6 +6980,7 @@ class Program_weight_tensor_parameter_582: class Program_weight_tensor_parameter_583: name = "parameter_583" + original_name = "batch_norm2d_4.b_0" shape = [128] dtype = "float32" min_val = float("-4.80275") @@ -6408,6 +6992,7 @@ class Program_weight_tensor_parameter_583: class Program_weight_tensor_parameter_584: name = "parameter_584" + original_name = "batch_norm2d_4.w_0" shape = [128] dtype = "float32" min_val = float("0.801288") @@ -6419,6 +7004,7 @@ class Program_weight_tensor_parameter_584: class Program_weight_tensor_parameter_585: name = "parameter_585" + original_name = "batch_norm2d_4.w_2" shape = [128] dtype = "float32" min_val = float("10.3665") @@ -6430,6 +7016,7 @@ class Program_weight_tensor_parameter_585: class Program_weight_tensor_parameter_586: name = "parameter_586" + original_name = "batch_norm2d_4.w_1" shape = [128] dtype = "float32" min_val = float("-24.7532") @@ -6441,6 +7028,7 @@ class Program_weight_tensor_parameter_586: class Program_weight_tensor_parameter_587: name = "parameter_587" + original_name = "conv2d_4.w_0" shape = [128, 32, 1, 1] dtype = "float32" min_val = float("-1.49226") @@ -6452,6 +7040,7 @@ class Program_weight_tensor_parameter_587: class Program_weight_tensor_parameter_588: name = "parameter_588" + original_name = "batch_norm2d_3.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -6461,6 +7050,7 @@ class Program_weight_tensor_parameter_588: class Program_weight_tensor_parameter_589: name = "parameter_589" + original_name = "batch_norm2d_3.w_0" shape = [32] dtype = "float32" min_val = float("0") @@ -6470,6 +7060,7 @@ class Program_weight_tensor_parameter_589: class Program_weight_tensor_parameter_590: name = "parameter_590" + original_name = "batch_norm2d_3.w_2" shape = [32] dtype = "float32" min_val = float("0") @@ -6479,6 +7070,7 @@ class Program_weight_tensor_parameter_590: class Program_weight_tensor_parameter_591: name = "parameter_591" + original_name = "batch_norm2d_3.w_1" shape = [32] dtype = "float32" min_val = float("0") @@ -6488,6 +7080,7 @@ class Program_weight_tensor_parameter_591: class Program_weight_tensor_parameter_592: name = "parameter_592" + original_name = "conv2d_3.w_0" shape = [32, 96, 1, 1] dtype = "float32" min_val = float("-1.56537") @@ -6499,6 +7092,7 @@ class Program_weight_tensor_parameter_592: class Program_weight_tensor_parameter_593: name = "parameter_593" + original_name = "batch_norm2d_2.b_0" shape = [96] dtype = "float32" min_val = float("-7.39713") @@ -6510,6 +7104,7 @@ class Program_weight_tensor_parameter_593: class Program_weight_tensor_parameter_594: name = "parameter_594" + original_name = "batch_norm2d_2.w_0" shape = [96] dtype = "float32" min_val = float("0.61591") @@ -6521,6 +7116,7 @@ class Program_weight_tensor_parameter_594: class Program_weight_tensor_parameter_595: name = "parameter_595" + original_name = "batch_norm2d_2.w_2" shape = [96] dtype = "float32" min_val = float("5.60519e-45") @@ -6532,6 +7128,7 @@ class Program_weight_tensor_parameter_595: class Program_weight_tensor_parameter_596: name = "parameter_596" + original_name = "batch_norm2d_2.w_1" shape = [96] dtype = "float32" min_val = float("-1.10606") @@ -6543,6 +7140,7 @@ class Program_weight_tensor_parameter_596: class Program_weight_tensor_parameter_597: name = "parameter_597" + original_name = "conv2d_2.w_0" shape = [96, 1, 3, 3] dtype = "float32" min_val = float("-1.30479") @@ -6554,6 +7152,7 @@ class Program_weight_tensor_parameter_597: class Program_weight_tensor_parameter_598: name = "parameter_598" + original_name = "batch_norm2d_1.b_0" shape = [96] dtype = "float32" min_val = float("-4.33562") @@ -6565,6 +7164,7 @@ class Program_weight_tensor_parameter_598: class Program_weight_tensor_parameter_599: name = "parameter_599" + original_name = "batch_norm2d_1.w_0" shape = [96] dtype = "float32" min_val = float("-0.0660904") @@ -6576,6 +7176,7 @@ class Program_weight_tensor_parameter_599: class Program_weight_tensor_parameter_600: name = "parameter_600" + original_name = "batch_norm2d_1.w_2" shape = [96] dtype = "float32" min_val = float("5.60519e-45") @@ -6587,6 +7188,7 @@ class Program_weight_tensor_parameter_600: class Program_weight_tensor_parameter_601: name = "parameter_601" + original_name = "batch_norm2d_1.w_1" shape = [96] dtype = "float32" min_val = float("-19.4011") @@ -6598,6 +7200,7 @@ class Program_weight_tensor_parameter_601: class Program_weight_tensor_parameter_602: name = "parameter_602" + original_name = "conv2d_1.w_0" shape = [96, 32, 1, 1] dtype = "float32" min_val = float("-1.40999") @@ -6609,6 +7212,7 @@ class Program_weight_tensor_parameter_602: class Program_weight_tensor_parameter_603: name = "parameter_603" + original_name = "batch_norm2d_0.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -6618,6 +7222,7 @@ class Program_weight_tensor_parameter_603: class Program_weight_tensor_parameter_604: name = "parameter_604" + original_name = "batch_norm2d_0.w_0" shape = [32] dtype = "float32" min_val = float("0") @@ -6627,6 +7232,7 @@ class Program_weight_tensor_parameter_604: class Program_weight_tensor_parameter_605: name = "parameter_605" + original_name = "batch_norm2d_0.w_2" shape = [32] dtype = "float32" min_val = float("0") @@ -6636,6 +7242,7 @@ class Program_weight_tensor_parameter_605: class Program_weight_tensor_parameter_606: name = "parameter_606" + original_name = "batch_norm2d_0.w_1" shape = [32] dtype = "float32" min_val = float("0") @@ -6645,6 +7252,7 @@ class Program_weight_tensor_parameter_606: class Program_weight_tensor_parameter_607: name = "parameter_607" + original_name = "conv2d_0.w_0" shape = [32, 3, 3, 3] dtype = "float32" min_val = float("-1.68376") diff --git a/paddle_samples/PaddleX/SeaFormer_small/subgraph_1/input_meta.py b/paddle_samples/PaddleX/SeaFormer_small/subgraph_1/input_meta.py index 5ad8984c3..91b733ab0 100644 --- a/paddle_samples/PaddleX/SeaFormer_small/subgraph_1/input_meta.py +++ b/paddle_samples/PaddleX/SeaFormer_small/subgraph_1/input_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_data_0: name = "data_0" + original_name = "param_24" shape = [1, 96, 16] dtype = "float32" min_val = float("-0.365507") @@ -11,6 +12,7 @@ class Program_weight_tensor_data_0: class Program_weight_tensor_data_1: name = "data_1" + original_name = "param_25" shape = [1, 96, 16] dtype = "float32" min_val = float("-0.386047") @@ -22,6 +24,7 @@ class Program_weight_tensor_data_1: class Program_weight_tensor_data_2: name = "data_2" + original_name = "param_26" shape = [1, 96, 16] dtype = "float32" min_val = float("-0.328172") @@ -33,6 +36,7 @@ class Program_weight_tensor_data_2: class Program_weight_tensor_data_3: name = "data_3" + original_name = "param_27" shape = [1, 96, 16] dtype = "float32" min_val = float("-0.386699") @@ -44,6 +48,7 @@ class Program_weight_tensor_data_3: class Program_weight_tensor_data_4: name = "data_4" + original_name = "param_28" shape = [1, 96, 16] dtype = "float32" min_val = float("-0.114796") @@ -55,6 +60,7 @@ class Program_weight_tensor_data_4: class Program_weight_tensor_data_5: name = "data_5" + original_name = "param_29" shape = [1, 96, 16] dtype = "float32" min_val = float("-0.165459") @@ -66,6 +72,7 @@ class Program_weight_tensor_data_5: class Program_weight_tensor_data_6: name = "data_6" + original_name = "param_30" shape = [1, 96, 16] dtype = "float32" min_val = float("-0.0790651") @@ -77,6 +84,7 @@ class Program_weight_tensor_data_6: class Program_weight_tensor_data_7: name = "data_7" + original_name = "param_31" shape = [1, 96, 16] dtype = "float32" min_val = float("-0.0682898") @@ -88,6 +96,7 @@ class Program_weight_tensor_data_7: class Program_weight_tensor_data_8: name = "data_8" + original_name = "param_32" shape = [1, 96, 16] dtype = "float32" min_val = float("-0.205362") @@ -99,6 +108,7 @@ class Program_weight_tensor_data_8: class Program_weight_tensor_data_9: name = "data_9" + original_name = "param_33" shape = [1, 96, 16] dtype = "float32" min_val = float("-0.106444") @@ -110,6 +120,7 @@ class Program_weight_tensor_data_9: class Program_weight_tensor_data_10: name = "data_10" + original_name = "param_34" shape = [1, 96, 16] dtype = "float32" min_val = float("-0.1741") @@ -121,6 +132,7 @@ class Program_weight_tensor_data_10: class Program_weight_tensor_data_11: name = "data_11" + original_name = "param_35" shape = [1, 96, 16] dtype = "float32" min_val = float("-0.0849838") @@ -132,6 +144,7 @@ class Program_weight_tensor_data_11: class Program_weight_tensor_data_12: name = "data_12" + original_name = "param_36" shape = [1, 144, 16] dtype = "float32" min_val = float("-0.101095") @@ -143,6 +156,7 @@ class Program_weight_tensor_data_12: class Program_weight_tensor_data_13: name = "data_13" + original_name = "param_37" shape = [1, 144, 16] dtype = "float32" min_val = float("-0.147527") @@ -154,6 +168,7 @@ class Program_weight_tensor_data_13: class Program_weight_tensor_data_14: name = "data_14" + original_name = "param_38" shape = [1, 144, 16] dtype = "float32" min_val = float("-0.0587647") @@ -165,6 +180,7 @@ class Program_weight_tensor_data_14: class Program_weight_tensor_data_15: name = "data_15" + original_name = "param_39" shape = [1, 144, 16] dtype = "float32" min_val = float("-0.0355509") @@ -176,6 +192,7 @@ class Program_weight_tensor_data_15: class Program_weight_tensor_data_16: name = "data_16" + original_name = "param_40" shape = [1, 144, 16] dtype = "float32" min_val = float("-0.0761779") @@ -187,6 +204,7 @@ class Program_weight_tensor_data_16: class Program_weight_tensor_data_17: name = "data_17" + original_name = "param_41" shape = [1, 144, 16] dtype = "float32" min_val = float("-0.08757") @@ -198,6 +216,7 @@ class Program_weight_tensor_data_17: class Program_weight_tensor_data_18: name = "data_18" + original_name = "param_42" shape = [1, 144, 16] dtype = "float32" min_val = float("-0.0642873") @@ -209,6 +228,7 @@ class Program_weight_tensor_data_18: class Program_weight_tensor_data_19: name = "data_19" + original_name = "param_43" shape = [1, 144, 16] dtype = "float32" min_val = float("-0.0313386") @@ -220,6 +240,7 @@ class Program_weight_tensor_data_19: class Program_weight_tensor_data_20: name = "data_20" + original_name = "param_44" shape = [1, 144, 16] dtype = "float32" min_val = float("-0.07837") @@ -231,6 +252,7 @@ class Program_weight_tensor_data_20: class Program_weight_tensor_data_21: name = "data_21" + original_name = "param_45" shape = [1, 144, 16] dtype = "float32" min_val = float("-0.0592643") @@ -242,6 +264,7 @@ class Program_weight_tensor_data_21: class Program_weight_tensor_data_22: name = "data_22" + original_name = "param_46" shape = [1, 144, 16] dtype = "float32" min_val = float("-0.0344173") @@ -253,6 +276,7 @@ class Program_weight_tensor_data_22: class Program_weight_tensor_data_23: name = "data_23" + original_name = "param_47" shape = [1, 144, 16] dtype = "float32" min_val = float("-0.0470819") @@ -264,6 +288,7 @@ class Program_weight_tensor_data_23: class Program_weight_tensor_data_24: name = "data_24" + original_name = "var_563" shape = [2, 3, 512, 512] dtype = "float32" min_val = float("-1.0") diff --git a/paddle_samples/PaddleX/SeaFormer_small/subgraph_1/weight_meta.py b/paddle_samples/PaddleX/SeaFormer_small/subgraph_1/weight_meta.py index 4bd38a98c..b57eebf9b 100644 --- a/paddle_samples/PaddleX/SeaFormer_small/subgraph_1/weight_meta.py +++ b/paddle_samples/PaddleX/SeaFormer_small/subgraph_1/weight_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_parameter_0: name = "parameter_0" + original_name = "batch_norm2d_86.b_0" shape = [192] dtype = "float32" min_val = float("-0.0853705") @@ -11,6 +12,7 @@ class Program_weight_tensor_parameter_0: class Program_weight_tensor_parameter_1: name = "parameter_1" + original_name = "batch_norm2d_86.w_0" shape = [192] dtype = "float32" min_val = float("0.870519") @@ -22,6 +24,7 @@ class Program_weight_tensor_parameter_1: class Program_weight_tensor_parameter_2: name = "parameter_2" + original_name = "batch_norm2d_86.w_2" shape = [192] dtype = "float32" min_val = float("0.00459293") @@ -33,6 +36,7 @@ class Program_weight_tensor_parameter_2: class Program_weight_tensor_parameter_3: name = "parameter_3" + original_name = "batch_norm2d_86.w_1" shape = [192] dtype = "float32" min_val = float("-0.212881") @@ -44,6 +48,7 @@ class Program_weight_tensor_parameter_3: class Program_weight_tensor_parameter_4: name = "parameter_4" + original_name = "conv2d_92.w_0" shape = [192, 768, 1, 1] dtype = "float32" min_val = float("-0.193998") @@ -55,6 +60,7 @@ class Program_weight_tensor_parameter_4: class Program_weight_tensor_parameter_5: name = "parameter_5" + original_name = "conv2d_91.b_0" shape = [768] dtype = "float32" min_val = float("-1.52866") @@ -66,6 +72,7 @@ class Program_weight_tensor_parameter_5: class Program_weight_tensor_parameter_6: name = "parameter_6" + original_name = "conv2d_91.w_0" shape = [768, 1, 3, 3] dtype = "float32" min_val = float("-0.439912") @@ -77,6 +84,7 @@ class Program_weight_tensor_parameter_6: class Program_weight_tensor_parameter_7: name = "parameter_7" + original_name = "batch_norm2d_85.b_0" shape = [768] dtype = "float32" min_val = float("-4.3305") @@ -88,6 +96,7 @@ class Program_weight_tensor_parameter_7: class Program_weight_tensor_parameter_8: name = "parameter_8" + original_name = "batch_norm2d_85.w_0" shape = [768] dtype = "float32" min_val = float("0.22525") @@ -99,6 +108,7 @@ class Program_weight_tensor_parameter_8: class Program_weight_tensor_parameter_9: name = "parameter_9" + original_name = "batch_norm2d_85.w_2" shape = [768] dtype = "float32" min_val = float("0.0591464") @@ -110,6 +120,7 @@ class Program_weight_tensor_parameter_9: class Program_weight_tensor_parameter_10: name = "parameter_10" + original_name = "batch_norm2d_85.w_1" shape = [768] dtype = "float32" min_val = float("-0.335531") @@ -121,6 +132,7 @@ class Program_weight_tensor_parameter_10: class Program_weight_tensor_parameter_11: name = "parameter_11" + original_name = "conv2d_90.w_0" shape = [768, 192, 1, 1] dtype = "float32" min_val = float("-0.285966") @@ -132,6 +144,7 @@ class Program_weight_tensor_parameter_11: class Program_weight_tensor_parameter_12: name = "parameter_12" + original_name = "batch_norm2d_80.b_0" shape = [192] dtype = "float32" min_val = float("-2.39766") @@ -143,6 +156,7 @@ class Program_weight_tensor_parameter_12: class Program_weight_tensor_parameter_13: name = "parameter_13" + original_name = "batch_norm2d_80.w_0" shape = [192] dtype = "float32" min_val = float("-1.83786") @@ -154,6 +168,7 @@ class Program_weight_tensor_parameter_13: class Program_weight_tensor_parameter_14: name = "parameter_14" + original_name = "batch_norm2d_80.w_2" shape = [192] dtype = "float32" min_val = float("0.103635") @@ -165,6 +180,7 @@ class Program_weight_tensor_parameter_14: class Program_weight_tensor_parameter_15: name = "parameter_15" + original_name = "batch_norm2d_80.w_1" shape = [192] dtype = "float32" min_val = float("-0.337241") @@ -176,6 +192,7 @@ class Program_weight_tensor_parameter_15: class Program_weight_tensor_parameter_16: name = "parameter_16" + original_name = "conv2d_85.w_0" shape = [192, 288, 1, 1] dtype = "float32" min_val = float("-0.290369") @@ -187,6 +204,7 @@ class Program_weight_tensor_parameter_16: class Program_weight_tensor_parameter_17: name = "parameter_17" + original_name = "batch_norm2d_82.b_0" shape = [288] dtype = "float32" min_val = float("-1.226") @@ -198,6 +216,7 @@ class Program_weight_tensor_parameter_17: class Program_weight_tensor_parameter_18: name = "parameter_18" + original_name = "batch_norm2d_82.w_0" shape = [288] dtype = "float32" min_val = float("-2.27401") @@ -209,6 +228,7 @@ class Program_weight_tensor_parameter_18: class Program_weight_tensor_parameter_19: name = "parameter_19" + original_name = "batch_norm2d_82.w_2" shape = [288] dtype = "float32" min_val = float("0.000439859") @@ -220,6 +240,7 @@ class Program_weight_tensor_parameter_19: class Program_weight_tensor_parameter_20: name = "parameter_20" + original_name = "batch_norm2d_82.w_1" shape = [288] dtype = "float32" min_val = float("-0.272969") @@ -231,6 +252,7 @@ class Program_weight_tensor_parameter_20: class Program_weight_tensor_parameter_21: name = "parameter_21" + original_name = "conv2d_87.w_0" shape = [288, 288, 1, 1] dtype = "float32" min_val = float("-0.416905") @@ -242,6 +264,7 @@ class Program_weight_tensor_parameter_21: class Program_weight_tensor_parameter_22: name = "parameter_22" + original_name = "batch_norm2d_81.b_0" shape = [288] dtype = "float32" min_val = float("-1.22601") @@ -253,6 +276,7 @@ class Program_weight_tensor_parameter_22: class Program_weight_tensor_parameter_23: name = "parameter_23" + original_name = "batch_norm2d_81.w_0" shape = [288] dtype = "float32" min_val = float("-2.34439") @@ -264,6 +288,7 @@ class Program_weight_tensor_parameter_23: class Program_weight_tensor_parameter_24: name = "parameter_24" + original_name = "batch_norm2d_81.w_2" shape = [288] dtype = "float32" min_val = float("0.000563082") @@ -275,6 +300,7 @@ class Program_weight_tensor_parameter_24: class Program_weight_tensor_parameter_25: name = "parameter_25" + original_name = "batch_norm2d_81.w_1" shape = [288] dtype = "float32" min_val = float("-0.411988") @@ -286,6 +312,7 @@ class Program_weight_tensor_parameter_25: class Program_weight_tensor_parameter_26: name = "parameter_26" + original_name = "conv2d_86.w_0" shape = [288, 288, 1, 1] dtype = "float32" min_val = float("-0.332253") @@ -297,6 +324,7 @@ class Program_weight_tensor_parameter_26: class Program_weight_tensor_parameter_27: name = "parameter_27" + original_name = "batch_norm2d_84.b_0" shape = [192] dtype = "float32" min_val = float("-2.6653") @@ -308,6 +336,7 @@ class Program_weight_tensor_parameter_27: class Program_weight_tensor_parameter_28: name = "parameter_28" + original_name = "batch_norm2d_84.w_0" shape = [192] dtype = "float32" min_val = float("1.9815") @@ -319,6 +348,7 @@ class Program_weight_tensor_parameter_28: class Program_weight_tensor_parameter_29: name = "parameter_29" + original_name = "batch_norm2d_84.w_2" shape = [192] dtype = "float32" min_val = float("0.0275175") @@ -330,6 +360,7 @@ class Program_weight_tensor_parameter_29: class Program_weight_tensor_parameter_30: name = "parameter_30" + original_name = "batch_norm2d_84.w_1" shape = [192] dtype = "float32" min_val = float("-1.05696") @@ -341,6 +372,7 @@ class Program_weight_tensor_parameter_30: class Program_weight_tensor_parameter_31: name = "parameter_31" + original_name = "conv2d_89.w_0" shape = [192, 576, 1, 1] dtype = "float32" min_val = float("-0.256626") @@ -352,6 +384,7 @@ class Program_weight_tensor_parameter_31: class Program_weight_tensor_parameter_32: name = "parameter_32" + original_name = "batch_norm2d_83.b_0" shape = [576] dtype = "float32" min_val = float("-3.77136") @@ -363,6 +396,7 @@ class Program_weight_tensor_parameter_32: class Program_weight_tensor_parameter_33: name = "parameter_33" + original_name = "batch_norm2d_83.w_0" shape = [576] dtype = "float32" min_val = float("0.338616") @@ -374,6 +408,7 @@ class Program_weight_tensor_parameter_33: class Program_weight_tensor_parameter_34: name = "parameter_34" + original_name = "batch_norm2d_83.w_2" shape = [576] dtype = "float32" min_val = float("0.00025252") @@ -385,6 +420,7 @@ class Program_weight_tensor_parameter_34: class Program_weight_tensor_parameter_35: name = "parameter_35" + original_name = "batch_norm2d_83.w_1" shape = [576] dtype = "float32" min_val = float("-0.743757") @@ -396,6 +432,7 @@ class Program_weight_tensor_parameter_35: class Program_weight_tensor_parameter_36: name = "parameter_36" + original_name = "conv2d_88.w_0" shape = [576, 1, 3, 3] dtype = "float32" min_val = float("-0.376982") @@ -407,6 +444,7 @@ class Program_weight_tensor_parameter_36: class Program_weight_tensor_parameter_37: name = "parameter_37" + original_name = "batch_norm2d_79.b_0" shape = [288] dtype = "float32" min_val = float("-2.47511") @@ -418,6 +456,7 @@ class Program_weight_tensor_parameter_37: class Program_weight_tensor_parameter_38: name = "parameter_38" + original_name = "batch_norm2d_79.w_0" shape = [288] dtype = "float32" min_val = float("0.204882") @@ -429,6 +468,7 @@ class Program_weight_tensor_parameter_38: class Program_weight_tensor_parameter_39: name = "parameter_39" + original_name = "batch_norm2d_79.w_2" shape = [288] dtype = "float32" min_val = float("1.73789") @@ -440,6 +480,7 @@ class Program_weight_tensor_parameter_39: class Program_weight_tensor_parameter_40: name = "parameter_40" + original_name = "batch_norm2d_79.w_1" shape = [288] dtype = "float32" min_val = float("-1.09087") @@ -451,6 +492,7 @@ class Program_weight_tensor_parameter_40: class Program_weight_tensor_parameter_41: name = "parameter_41" + original_name = "conv2d_84.w_0" shape = [288, 192, 1, 1] dtype = "float32" min_val = float("-0.637711") @@ -462,6 +504,7 @@ class Program_weight_tensor_parameter_41: class Program_weight_tensor_parameter_42: name = "parameter_42" + original_name = "batch_norm2d_78.b_0" shape = [144] dtype = "float32" min_val = float("-0.71185") @@ -473,6 +516,7 @@ class Program_weight_tensor_parameter_42: class Program_weight_tensor_parameter_43: name = "parameter_43" + original_name = "batch_norm2d_78.w_0" shape = [144] dtype = "float32" min_val = float("0.0800748") @@ -484,6 +528,7 @@ class Program_weight_tensor_parameter_43: class Program_weight_tensor_parameter_44: name = "parameter_44" + original_name = "batch_norm2d_78.w_2" shape = [144] dtype = "float32" min_val = float("1.07497") @@ -495,6 +540,7 @@ class Program_weight_tensor_parameter_44: class Program_weight_tensor_parameter_45: name = "parameter_45" + original_name = "batch_norm2d_78.w_1" shape = [144] dtype = "float32" min_val = float("-0.315597") @@ -506,6 +552,7 @@ class Program_weight_tensor_parameter_45: class Program_weight_tensor_parameter_46: name = "parameter_46" + original_name = "conv2d_83.w_0" shape = [144, 192, 1, 1] dtype = "float32" min_val = float("-0.390917") @@ -517,6 +564,7 @@ class Program_weight_tensor_parameter_46: class Program_weight_tensor_parameter_47: name = "parameter_47" + original_name = "batch_norm2d_77.b_0" shape = [144] dtype = "float32" min_val = float("-0.907424") @@ -528,6 +576,7 @@ class Program_weight_tensor_parameter_47: class Program_weight_tensor_parameter_48: name = "parameter_48" + original_name = "batch_norm2d_77.w_0" shape = [144] dtype = "float32" min_val = float("0.111522") @@ -539,6 +588,7 @@ class Program_weight_tensor_parameter_48: class Program_weight_tensor_parameter_49: name = "parameter_49" + original_name = "batch_norm2d_77.w_2" shape = [144] dtype = "float32" min_val = float("1.03317") @@ -550,6 +600,7 @@ class Program_weight_tensor_parameter_49: class Program_weight_tensor_parameter_50: name = "parameter_50" + original_name = "batch_norm2d_77.w_1" shape = [144] dtype = "float32" min_val = float("-0.344913") @@ -561,6 +612,7 @@ class Program_weight_tensor_parameter_50: class Program_weight_tensor_parameter_51: name = "parameter_51" + original_name = "conv2d_82.w_0" shape = [144, 192, 1, 1] dtype = "float32" min_val = float("-0.174453") @@ -572,6 +624,7 @@ class Program_weight_tensor_parameter_51: class Program_weight_tensor_parameter_52: name = "parameter_52" + original_name = "batch_norm2d_76.b_0" shape = [192] dtype = "float32" min_val = float("-1.34212") @@ -583,6 +636,7 @@ class Program_weight_tensor_parameter_52: class Program_weight_tensor_parameter_53: name = "parameter_53" + original_name = "batch_norm2d_76.w_0" shape = [192] dtype = "float32" min_val = float("0.746471") @@ -594,6 +648,7 @@ class Program_weight_tensor_parameter_53: class Program_weight_tensor_parameter_54: name = "parameter_54" + original_name = "batch_norm2d_76.w_2" shape = [192] dtype = "float32" min_val = float("0.00237303") @@ -605,6 +660,7 @@ class Program_weight_tensor_parameter_54: class Program_weight_tensor_parameter_55: name = "parameter_55" + original_name = "batch_norm2d_76.w_1" shape = [192] dtype = "float32" min_val = float("-0.574975") @@ -616,6 +672,7 @@ class Program_weight_tensor_parameter_55: class Program_weight_tensor_parameter_56: name = "parameter_56" + original_name = "conv2d_81.w_0" shape = [192, 768, 1, 1] dtype = "float32" min_val = float("-0.301184") @@ -627,6 +684,7 @@ class Program_weight_tensor_parameter_56: class Program_weight_tensor_parameter_57: name = "parameter_57" + original_name = "conv2d_80.b_0" shape = [768] dtype = "float32" min_val = float("-2.08956") @@ -638,6 +696,7 @@ class Program_weight_tensor_parameter_57: class Program_weight_tensor_parameter_58: name = "parameter_58" + original_name = "conv2d_80.w_0" shape = [768, 1, 3, 3] dtype = "float32" min_val = float("-0.495636") @@ -649,6 +708,7 @@ class Program_weight_tensor_parameter_58: class Program_weight_tensor_parameter_59: name = "parameter_59" + original_name = "batch_norm2d_75.b_0" shape = [768] dtype = "float32" min_val = float("-4.41789") @@ -660,6 +720,7 @@ class Program_weight_tensor_parameter_59: class Program_weight_tensor_parameter_60: name = "parameter_60" + original_name = "batch_norm2d_75.w_0" shape = [768] dtype = "float32" min_val = float("0.224732") @@ -671,6 +732,7 @@ class Program_weight_tensor_parameter_60: class Program_weight_tensor_parameter_61: name = "parameter_61" + original_name = "batch_norm2d_75.w_2" shape = [768] dtype = "float32" min_val = float("1.14755") @@ -682,6 +744,7 @@ class Program_weight_tensor_parameter_61: class Program_weight_tensor_parameter_62: name = "parameter_62" + original_name = "batch_norm2d_75.w_1" shape = [768] dtype = "float32" min_val = float("-0.68752") @@ -693,6 +756,7 @@ class Program_weight_tensor_parameter_62: class Program_weight_tensor_parameter_63: name = "parameter_63" + original_name = "conv2d_79.w_0" shape = [768, 192, 1, 1] dtype = "float32" min_val = float("-0.331103") @@ -704,6 +768,7 @@ class Program_weight_tensor_parameter_63: class Program_weight_tensor_parameter_64: name = "parameter_64" + original_name = "batch_norm2d_70.b_0" shape = [192] dtype = "float32" min_val = float("-2.29881") @@ -715,6 +780,7 @@ class Program_weight_tensor_parameter_64: class Program_weight_tensor_parameter_65: name = "parameter_65" + original_name = "batch_norm2d_70.w_0" shape = [192] dtype = "float32" min_val = float("-3.47982") @@ -726,6 +792,7 @@ class Program_weight_tensor_parameter_65: class Program_weight_tensor_parameter_66: name = "parameter_66" + original_name = "batch_norm2d_70.w_2" shape = [192] dtype = "float32" min_val = float("0.108865") @@ -737,6 +804,7 @@ class Program_weight_tensor_parameter_66: class Program_weight_tensor_parameter_67: name = "parameter_67" + original_name = "batch_norm2d_70.w_1" shape = [192] dtype = "float32" min_val = float("-1.02077") @@ -748,6 +816,7 @@ class Program_weight_tensor_parameter_67: class Program_weight_tensor_parameter_68: name = "parameter_68" + original_name = "conv2d_74.w_0" shape = [192, 288, 1, 1] dtype = "float32" min_val = float("-0.307274") @@ -759,6 +828,7 @@ class Program_weight_tensor_parameter_68: class Program_weight_tensor_parameter_69: name = "parameter_69" + original_name = "batch_norm2d_72.b_0" shape = [288] dtype = "float32" min_val = float("-1.79456") @@ -770,6 +840,7 @@ class Program_weight_tensor_parameter_69: class Program_weight_tensor_parameter_70: name = "parameter_70" + original_name = "batch_norm2d_72.w_0" shape = [288] dtype = "float32" min_val = float("-1.68906") @@ -781,6 +852,7 @@ class Program_weight_tensor_parameter_70: class Program_weight_tensor_parameter_71: name = "parameter_71" + original_name = "batch_norm2d_72.w_2" shape = [288] dtype = "float32" min_val = float("0.00140081") @@ -792,6 +864,7 @@ class Program_weight_tensor_parameter_71: class Program_weight_tensor_parameter_72: name = "parameter_72" + original_name = "batch_norm2d_72.w_1" shape = [288] dtype = "float32" min_val = float("-0.406342") @@ -803,6 +876,7 @@ class Program_weight_tensor_parameter_72: class Program_weight_tensor_parameter_73: name = "parameter_73" + original_name = "conv2d_76.w_0" shape = [288, 288, 1, 1] dtype = "float32" min_val = float("-0.168132") @@ -814,6 +888,7 @@ class Program_weight_tensor_parameter_73: class Program_weight_tensor_parameter_74: name = "parameter_74" + original_name = "batch_norm2d_71.b_0" shape = [288] dtype = "float32" min_val = float("-1.79447") @@ -825,6 +900,7 @@ class Program_weight_tensor_parameter_74: class Program_weight_tensor_parameter_75: name = "parameter_75" + original_name = "batch_norm2d_71.w_0" shape = [288] dtype = "float32" min_val = float("-1.59886") @@ -836,6 +912,7 @@ class Program_weight_tensor_parameter_75: class Program_weight_tensor_parameter_76: name = "parameter_76" + original_name = "batch_norm2d_71.w_2" shape = [288] dtype = "float32" min_val = float("0.00139878") @@ -847,6 +924,7 @@ class Program_weight_tensor_parameter_76: class Program_weight_tensor_parameter_77: name = "parameter_77" + original_name = "batch_norm2d_71.w_1" shape = [288] dtype = "float32" min_val = float("-0.651703") @@ -858,6 +936,7 @@ class Program_weight_tensor_parameter_77: class Program_weight_tensor_parameter_78: name = "parameter_78" + original_name = "conv2d_75.w_0" shape = [288, 288, 1, 1] dtype = "float32" min_val = float("-0.202894") @@ -869,6 +948,7 @@ class Program_weight_tensor_parameter_78: class Program_weight_tensor_parameter_79: name = "parameter_79" + original_name = "batch_norm2d_74.b_0" shape = [192] dtype = "float32" min_val = float("-5.20017") @@ -880,6 +960,7 @@ class Program_weight_tensor_parameter_79: class Program_weight_tensor_parameter_80: name = "parameter_80" + original_name = "batch_norm2d_74.w_0" shape = [192] dtype = "float32" min_val = float("1.34595") @@ -891,6 +972,7 @@ class Program_weight_tensor_parameter_80: class Program_weight_tensor_parameter_81: name = "parameter_81" + original_name = "batch_norm2d_74.w_2" shape = [192] dtype = "float32" min_val = float("0.0132664") @@ -902,6 +984,7 @@ class Program_weight_tensor_parameter_81: class Program_weight_tensor_parameter_82: name = "parameter_82" + original_name = "batch_norm2d_74.w_1" shape = [192] dtype = "float32" min_val = float("-0.909312") @@ -913,6 +996,7 @@ class Program_weight_tensor_parameter_82: class Program_weight_tensor_parameter_83: name = "parameter_83" + original_name = "conv2d_78.w_0" shape = [192, 576, 1, 1] dtype = "float32" min_val = float("-0.384472") @@ -924,6 +1008,7 @@ class Program_weight_tensor_parameter_83: class Program_weight_tensor_parameter_84: name = "parameter_84" + original_name = "batch_norm2d_73.b_0" shape = [576] dtype = "float32" min_val = float("-4.89917") @@ -935,6 +1020,7 @@ class Program_weight_tensor_parameter_84: class Program_weight_tensor_parameter_85: name = "parameter_85" + original_name = "batch_norm2d_73.w_0" shape = [576] dtype = "float32" min_val = float("0.219636") @@ -946,6 +1032,7 @@ class Program_weight_tensor_parameter_85: class Program_weight_tensor_parameter_86: name = "parameter_86" + original_name = "batch_norm2d_73.w_2" shape = [576] dtype = "float32" min_val = float("0.000445306") @@ -957,6 +1044,7 @@ class Program_weight_tensor_parameter_86: class Program_weight_tensor_parameter_87: name = "parameter_87" + original_name = "batch_norm2d_73.w_1" shape = [576] dtype = "float32" min_val = float("-1.08729") @@ -968,6 +1056,7 @@ class Program_weight_tensor_parameter_87: class Program_weight_tensor_parameter_88: name = "parameter_88" + original_name = "conv2d_77.w_0" shape = [576, 1, 3, 3] dtype = "float32" min_val = float("-0.326283") @@ -979,6 +1068,7 @@ class Program_weight_tensor_parameter_88: class Program_weight_tensor_parameter_89: name = "parameter_89" + original_name = "batch_norm2d_69.b_0" shape = [288] dtype = "float32" min_val = float("-3.02079") @@ -990,6 +1080,7 @@ class Program_weight_tensor_parameter_89: class Program_weight_tensor_parameter_90: name = "parameter_90" + original_name = "batch_norm2d_69.w_0" shape = [288] dtype = "float32" min_val = float("0.271735") @@ -1001,6 +1092,7 @@ class Program_weight_tensor_parameter_90: class Program_weight_tensor_parameter_91: name = "parameter_91" + original_name = "batch_norm2d_69.w_2" shape = [288] dtype = "float32" min_val = float("1.33199") @@ -1012,6 +1104,7 @@ class Program_weight_tensor_parameter_91: class Program_weight_tensor_parameter_92: name = "parameter_92" + original_name = "batch_norm2d_69.w_1" shape = [288] dtype = "float32" min_val = float("-2.08313") @@ -1023,6 +1116,7 @@ class Program_weight_tensor_parameter_92: class Program_weight_tensor_parameter_93: name = "parameter_93" + original_name = "conv2d_73.w_0" shape = [288, 192, 1, 1] dtype = "float32" min_val = float("-0.54308") @@ -1034,6 +1128,7 @@ class Program_weight_tensor_parameter_93: class Program_weight_tensor_parameter_94: name = "parameter_94" + original_name = "batch_norm2d_68.b_0" shape = [144] dtype = "float32" min_val = float("-1.156") @@ -1045,6 +1140,7 @@ class Program_weight_tensor_parameter_94: class Program_weight_tensor_parameter_95: name = "parameter_95" + original_name = "batch_norm2d_68.w_0" shape = [144] dtype = "float32" min_val = float("0.079053") @@ -1056,6 +1152,7 @@ class Program_weight_tensor_parameter_95: class Program_weight_tensor_parameter_96: name = "parameter_96" + original_name = "batch_norm2d_68.w_2" shape = [144] dtype = "float32" min_val = float("1.06162") @@ -1067,6 +1164,7 @@ class Program_weight_tensor_parameter_96: class Program_weight_tensor_parameter_97: name = "parameter_97" + original_name = "batch_norm2d_68.w_1" shape = [144] dtype = "float32" min_val = float("-1.29415") @@ -1078,6 +1176,7 @@ class Program_weight_tensor_parameter_97: class Program_weight_tensor_parameter_98: name = "parameter_98" + original_name = "conv2d_72.w_0" shape = [144, 192, 1, 1] dtype = "float32" min_val = float("-0.253387") @@ -1089,6 +1188,7 @@ class Program_weight_tensor_parameter_98: class Program_weight_tensor_parameter_99: name = "parameter_99" + original_name = "batch_norm2d_67.b_0" shape = [144] dtype = "float32" min_val = float("-1.51192") @@ -1100,6 +1200,7 @@ class Program_weight_tensor_parameter_99: class Program_weight_tensor_parameter_100: name = "parameter_100" + original_name = "batch_norm2d_67.w_0" shape = [144] dtype = "float32" min_val = float("0.0953124") @@ -1111,6 +1212,7 @@ class Program_weight_tensor_parameter_100: class Program_weight_tensor_parameter_101: name = "parameter_101" + original_name = "batch_norm2d_67.w_2" shape = [144] dtype = "float32" min_val = float("0.983242") @@ -1122,6 +1224,7 @@ class Program_weight_tensor_parameter_101: class Program_weight_tensor_parameter_102: name = "parameter_102" + original_name = "batch_norm2d_67.w_1" shape = [144] dtype = "float32" min_val = float("-0.588233") @@ -1133,6 +1236,7 @@ class Program_weight_tensor_parameter_102: class Program_weight_tensor_parameter_103: name = "parameter_103" + original_name = "conv2d_71.w_0" shape = [144, 192, 1, 1] dtype = "float32" min_val = float("-0.23439") @@ -1144,6 +1248,7 @@ class Program_weight_tensor_parameter_103: class Program_weight_tensor_parameter_104: name = "parameter_104" + original_name = "batch_norm2d_66.b_0" shape = [192] dtype = "float32" min_val = float("-0.908832") @@ -1155,6 +1260,7 @@ class Program_weight_tensor_parameter_104: class Program_weight_tensor_parameter_105: name = "parameter_105" + original_name = "batch_norm2d_66.w_0" shape = [192] dtype = "float32" min_val = float("0.694269") @@ -1166,6 +1272,7 @@ class Program_weight_tensor_parameter_105: class Program_weight_tensor_parameter_106: name = "parameter_106" + original_name = "batch_norm2d_66.w_2" shape = [192] dtype = "float32" min_val = float("0.00828547") @@ -1177,6 +1284,7 @@ class Program_weight_tensor_parameter_106: class Program_weight_tensor_parameter_107: name = "parameter_107" + original_name = "batch_norm2d_66.w_1" shape = [192] dtype = "float32" min_val = float("-1.42069") @@ -1188,6 +1296,7 @@ class Program_weight_tensor_parameter_107: class Program_weight_tensor_parameter_108: name = "parameter_108" + original_name = "conv2d_70.w_0" shape = [192, 768, 1, 1] dtype = "float32" min_val = float("-0.32103") @@ -1199,6 +1308,7 @@ class Program_weight_tensor_parameter_108: class Program_weight_tensor_parameter_109: name = "parameter_109" + original_name = "conv2d_69.b_0" shape = [768] dtype = "float32" min_val = float("-2.07493") @@ -1210,6 +1320,7 @@ class Program_weight_tensor_parameter_109: class Program_weight_tensor_parameter_110: name = "parameter_110" + original_name = "conv2d_69.w_0" shape = [768, 1, 3, 3] dtype = "float32" min_val = float("-0.544484") @@ -1221,6 +1332,7 @@ class Program_weight_tensor_parameter_110: class Program_weight_tensor_parameter_111: name = "parameter_111" + original_name = "batch_norm2d_65.b_0" shape = [768] dtype = "float32" min_val = float("-4.82954") @@ -1232,6 +1344,7 @@ class Program_weight_tensor_parameter_111: class Program_weight_tensor_parameter_112: name = "parameter_112" + original_name = "batch_norm2d_65.w_0" shape = [768] dtype = "float32" min_val = float("0.463431") @@ -1243,6 +1356,7 @@ class Program_weight_tensor_parameter_112: class Program_weight_tensor_parameter_113: name = "parameter_113" + original_name = "batch_norm2d_65.w_2" shape = [768] dtype = "float32" min_val = float("0.530927") @@ -1254,6 +1368,7 @@ class Program_weight_tensor_parameter_113: class Program_weight_tensor_parameter_114: name = "parameter_114" + original_name = "batch_norm2d_65.w_1" shape = [768] dtype = "float32" min_val = float("-1.05081") @@ -1265,6 +1380,7 @@ class Program_weight_tensor_parameter_114: class Program_weight_tensor_parameter_115: name = "parameter_115" + original_name = "conv2d_68.w_0" shape = [768, 192, 1, 1] dtype = "float32" min_val = float("-0.377738") @@ -1276,6 +1392,7 @@ class Program_weight_tensor_parameter_115: class Program_weight_tensor_parameter_116: name = "parameter_116" + original_name = "batch_norm2d_60.b_0" shape = [192] dtype = "float32" min_val = float("-2.677") @@ -1287,6 +1404,7 @@ class Program_weight_tensor_parameter_116: class Program_weight_tensor_parameter_117: name = "parameter_117" + original_name = "batch_norm2d_60.w_0" shape = [192] dtype = "float32" min_val = float("-2.12923") @@ -1298,6 +1416,7 @@ class Program_weight_tensor_parameter_117: class Program_weight_tensor_parameter_118: name = "parameter_118" + original_name = "batch_norm2d_60.w_2" shape = [192] dtype = "float32" min_val = float("0.24745") @@ -1309,6 +1428,7 @@ class Program_weight_tensor_parameter_118: class Program_weight_tensor_parameter_119: name = "parameter_119" + original_name = "batch_norm2d_60.w_1" shape = [192] dtype = "float32" min_val = float("-1.30766") @@ -1320,6 +1440,7 @@ class Program_weight_tensor_parameter_119: class Program_weight_tensor_parameter_120: name = "parameter_120" + original_name = "conv2d_63.w_0" shape = [192, 288, 1, 1] dtype = "float32" min_val = float("-0.320611") @@ -1331,6 +1452,7 @@ class Program_weight_tensor_parameter_120: class Program_weight_tensor_parameter_121: name = "parameter_121" + original_name = "batch_norm2d_62.b_0" shape = [288] dtype = "float32" min_val = float("-1.76435") @@ -1342,6 +1464,7 @@ class Program_weight_tensor_parameter_121: class Program_weight_tensor_parameter_122: name = "parameter_122" + original_name = "batch_norm2d_62.w_0" shape = [288] dtype = "float32" min_val = float("-1.73496") @@ -1353,6 +1476,7 @@ class Program_weight_tensor_parameter_122: class Program_weight_tensor_parameter_123: name = "parameter_123" + original_name = "batch_norm2d_62.w_2" shape = [288] dtype = "float32" min_val = float("0.0101015") @@ -1364,6 +1488,7 @@ class Program_weight_tensor_parameter_123: class Program_weight_tensor_parameter_124: name = "parameter_124" + original_name = "batch_norm2d_62.w_1" shape = [288] dtype = "float32" min_val = float("-0.477401") @@ -1375,6 +1500,7 @@ class Program_weight_tensor_parameter_124: class Program_weight_tensor_parameter_125: name = "parameter_125" + original_name = "conv2d_65.w_0" shape = [288, 288, 1, 1] dtype = "float32" min_val = float("-0.259413") @@ -1386,6 +1512,7 @@ class Program_weight_tensor_parameter_125: class Program_weight_tensor_parameter_126: name = "parameter_126" + original_name = "batch_norm2d_61.b_0" shape = [288] dtype = "float32" min_val = float("-1.7645") @@ -1397,6 +1524,7 @@ class Program_weight_tensor_parameter_126: class Program_weight_tensor_parameter_127: name = "parameter_127" + original_name = "batch_norm2d_61.w_0" shape = [288] dtype = "float32" min_val = float("-2.42087") @@ -1408,6 +1536,7 @@ class Program_weight_tensor_parameter_127: class Program_weight_tensor_parameter_128: name = "parameter_128" + original_name = "batch_norm2d_61.w_2" shape = [288] dtype = "float32" min_val = float("0.00976043") @@ -1419,6 +1548,7 @@ class Program_weight_tensor_parameter_128: class Program_weight_tensor_parameter_129: name = "parameter_129" + original_name = "batch_norm2d_61.w_1" shape = [288] dtype = "float32" min_val = float("-0.407814") @@ -1430,6 +1560,7 @@ class Program_weight_tensor_parameter_129: class Program_weight_tensor_parameter_130: name = "parameter_130" + original_name = "conv2d_64.w_0" shape = [288, 288, 1, 1] dtype = "float32" min_val = float("-0.274797") @@ -1441,6 +1572,7 @@ class Program_weight_tensor_parameter_130: class Program_weight_tensor_parameter_131: name = "parameter_131" + original_name = "batch_norm2d_64.b_0" shape = [192] dtype = "float32" min_val = float("-9.03609") @@ -1452,6 +1584,7 @@ class Program_weight_tensor_parameter_131: class Program_weight_tensor_parameter_132: name = "parameter_132" + original_name = "batch_norm2d_64.w_0" shape = [192] dtype = "float32" min_val = float("1.11972") @@ -1463,6 +1596,7 @@ class Program_weight_tensor_parameter_132: class Program_weight_tensor_parameter_133: name = "parameter_133" + original_name = "batch_norm2d_64.w_2" shape = [192] dtype = "float32" min_val = float("0.18299") @@ -1474,6 +1608,7 @@ class Program_weight_tensor_parameter_133: class Program_weight_tensor_parameter_134: name = "parameter_134" + original_name = "batch_norm2d_64.w_1" shape = [192] dtype = "float32" min_val = float("-2.4495") @@ -1485,6 +1620,7 @@ class Program_weight_tensor_parameter_134: class Program_weight_tensor_parameter_135: name = "parameter_135" + original_name = "conv2d_67.w_0" shape = [192, 576, 1, 1] dtype = "float32" min_val = float("-0.322108") @@ -1496,6 +1632,7 @@ class Program_weight_tensor_parameter_135: class Program_weight_tensor_parameter_136: name = "parameter_136" + original_name = "batch_norm2d_63.b_0" shape = [576] dtype = "float32" min_val = float("-4.40607") @@ -1507,6 +1644,7 @@ class Program_weight_tensor_parameter_136: class Program_weight_tensor_parameter_137: name = "parameter_137" + original_name = "batch_norm2d_63.w_0" shape = [576] dtype = "float32" min_val = float("0.586436") @@ -1518,6 +1656,7 @@ class Program_weight_tensor_parameter_137: class Program_weight_tensor_parameter_138: name = "parameter_138" + original_name = "batch_norm2d_63.w_2" shape = [576] dtype = "float32" min_val = float("0.000286212") @@ -1529,6 +1668,7 @@ class Program_weight_tensor_parameter_138: class Program_weight_tensor_parameter_139: name = "parameter_139" + original_name = "batch_norm2d_63.w_1" shape = [576] dtype = "float32" min_val = float("-0.974102") @@ -1540,6 +1680,7 @@ class Program_weight_tensor_parameter_139: class Program_weight_tensor_parameter_140: name = "parameter_140" + original_name = "conv2d_66.w_0" shape = [576, 1, 3, 3] dtype = "float32" min_val = float("-0.376213") @@ -1551,6 +1692,7 @@ class Program_weight_tensor_parameter_140: class Program_weight_tensor_parameter_141: name = "parameter_141" + original_name = "batch_norm2d_59.b_0" shape = [288] dtype = "float32" min_val = float("-1.94753") @@ -1562,6 +1704,7 @@ class Program_weight_tensor_parameter_141: class Program_weight_tensor_parameter_142: name = "parameter_142" + original_name = "batch_norm2d_59.w_0" shape = [288] dtype = "float32" min_val = float("0.48401") @@ -1573,6 +1716,7 @@ class Program_weight_tensor_parameter_142: class Program_weight_tensor_parameter_143: name = "parameter_143" + original_name = "batch_norm2d_59.w_2" shape = [288] dtype = "float32" min_val = float("0.959203") @@ -1584,6 +1728,7 @@ class Program_weight_tensor_parameter_143: class Program_weight_tensor_parameter_144: name = "parameter_144" + original_name = "batch_norm2d_59.w_1" shape = [288] dtype = "float32" min_val = float("-2.05565") @@ -1595,6 +1740,7 @@ class Program_weight_tensor_parameter_144: class Program_weight_tensor_parameter_145: name = "parameter_145" + original_name = "conv2d_62.w_0" shape = [288, 192, 1, 1] dtype = "float32" min_val = float("-0.427304") @@ -1606,6 +1752,7 @@ class Program_weight_tensor_parameter_145: class Program_weight_tensor_parameter_146: name = "parameter_146" + original_name = "batch_norm2d_58.b_0" shape = [144] dtype = "float32" min_val = float("-1.73447") @@ -1617,6 +1764,7 @@ class Program_weight_tensor_parameter_146: class Program_weight_tensor_parameter_147: name = "parameter_147" + original_name = "batch_norm2d_58.w_0" shape = [144] dtype = "float32" min_val = float("0.0679161") @@ -1628,6 +1776,7 @@ class Program_weight_tensor_parameter_147: class Program_weight_tensor_parameter_148: name = "parameter_148" + original_name = "batch_norm2d_58.w_2" shape = [144] dtype = "float32" min_val = float("0.56742") @@ -1639,6 +1788,7 @@ class Program_weight_tensor_parameter_148: class Program_weight_tensor_parameter_149: name = "parameter_149" + original_name = "batch_norm2d_58.w_1" shape = [144] dtype = "float32" min_val = float("-1.98923") @@ -1650,6 +1800,7 @@ class Program_weight_tensor_parameter_149: class Program_weight_tensor_parameter_150: name = "parameter_150" + original_name = "conv2d_61.w_0" shape = [144, 192, 1, 1] dtype = "float32" min_val = float("-0.272609") @@ -1661,6 +1812,7 @@ class Program_weight_tensor_parameter_150: class Program_weight_tensor_parameter_151: name = "parameter_151" + original_name = "batch_norm2d_57.b_0" shape = [144] dtype = "float32" min_val = float("-2.30438") @@ -1672,6 +1824,7 @@ class Program_weight_tensor_parameter_151: class Program_weight_tensor_parameter_152: name = "parameter_152" + original_name = "batch_norm2d_57.w_0" shape = [144] dtype = "float32" min_val = float("0.123505") @@ -1683,6 +1836,7 @@ class Program_weight_tensor_parameter_152: class Program_weight_tensor_parameter_153: name = "parameter_153" + original_name = "batch_norm2d_57.w_2" shape = [144] dtype = "float32" min_val = float("0.533026") @@ -1694,6 +1848,7 @@ class Program_weight_tensor_parameter_153: class Program_weight_tensor_parameter_154: name = "parameter_154" + original_name = "batch_norm2d_57.w_1" shape = [144] dtype = "float32" min_val = float("-1.56296") @@ -1705,6 +1860,7 @@ class Program_weight_tensor_parameter_154: class Program_weight_tensor_parameter_155: name = "parameter_155" + original_name = "conv2d_60.w_0" shape = [144, 192, 1, 1] dtype = "float32" min_val = float("-0.227301") @@ -1716,6 +1872,7 @@ class Program_weight_tensor_parameter_155: class Program_weight_tensor_parameter_156: name = "parameter_156" + original_name = "batch_norm2d_26.b_0" shape = [192] dtype = "float32" min_val = float("-0.909262") @@ -1727,6 +1884,7 @@ class Program_weight_tensor_parameter_156: class Program_weight_tensor_parameter_157: name = "parameter_157" + original_name = "batch_norm2d_26.w_0" shape = [192] dtype = "float32" min_val = float("1.23388") @@ -1738,6 +1896,7 @@ class Program_weight_tensor_parameter_157: class Program_weight_tensor_parameter_158: name = "parameter_158" + original_name = "batch_norm2d_26.w_2" shape = [192] dtype = "float32" min_val = float("2.10325") @@ -1749,6 +1908,7 @@ class Program_weight_tensor_parameter_158: class Program_weight_tensor_parameter_159: name = "parameter_159" + original_name = "batch_norm2d_26.w_1" shape = [192] dtype = "float32" min_val = float("-14.9605") @@ -1760,6 +1920,7 @@ class Program_weight_tensor_parameter_159: class Program_weight_tensor_parameter_160: name = "parameter_160" + original_name = "conv2d_26.w_0" shape = [192, 960, 1, 1] dtype = "float32" min_val = float("-0.399824") @@ -1771,6 +1932,7 @@ class Program_weight_tensor_parameter_160: class Program_weight_tensor_parameter_161: name = "parameter_161" + original_name = "batch_norm2d_25.b_0" shape = [960] dtype = "float32" min_val = float("-4.83676") @@ -1782,6 +1944,7 @@ class Program_weight_tensor_parameter_161: class Program_weight_tensor_parameter_162: name = "parameter_162" + original_name = "batch_norm2d_25.w_0" shape = [960] dtype = "float32" min_val = float("0.793353") @@ -1793,6 +1956,7 @@ class Program_weight_tensor_parameter_162: class Program_weight_tensor_parameter_163: name = "parameter_163" + original_name = "batch_norm2d_25.w_2" shape = [960] dtype = "float32" min_val = float("5.60519e-45") @@ -1804,6 +1968,7 @@ class Program_weight_tensor_parameter_163: class Program_weight_tensor_parameter_164: name = "parameter_164" + original_name = "batch_norm2d_25.w_1" shape = [960] dtype = "float32" min_val = float("-1.02269") @@ -1815,6 +1980,7 @@ class Program_weight_tensor_parameter_164: class Program_weight_tensor_parameter_165: name = "parameter_165" + original_name = "conv2d_25.w_0" shape = [960, 1, 3, 3] dtype = "float32" min_val = float("-0.53791") @@ -1826,6 +1992,7 @@ class Program_weight_tensor_parameter_165: class Program_weight_tensor_parameter_166: name = "parameter_166" + original_name = "batch_norm2d_24.b_0" shape = [960] dtype = "float32" min_val = float("-3.50168") @@ -1837,6 +2004,7 @@ class Program_weight_tensor_parameter_166: class Program_weight_tensor_parameter_167: name = "parameter_167" + original_name = "batch_norm2d_24.w_0" shape = [960] dtype = "float32" min_val = float("-0.131154") @@ -1848,6 +2016,7 @@ class Program_weight_tensor_parameter_167: class Program_weight_tensor_parameter_168: name = "parameter_168" + original_name = "batch_norm2d_24.w_2" shape = [960] dtype = "float32" min_val = float("5.60519e-45") @@ -1859,6 +2028,7 @@ class Program_weight_tensor_parameter_168: class Program_weight_tensor_parameter_169: name = "parameter_169" + original_name = "batch_norm2d_24.w_1" shape = [960] dtype = "float32" min_val = float("-7.25633") @@ -1870,6 +2040,7 @@ class Program_weight_tensor_parameter_169: class Program_weight_tensor_parameter_170: name = "parameter_170" + original_name = "conv2d_24.w_0" shape = [960, 160, 1, 1] dtype = "float32" min_val = float("-0.596027") @@ -1881,6 +2052,7 @@ class Program_weight_tensor_parameter_170: class Program_weight_tensor_parameter_171: name = "parameter_171" + original_name = "batch_norm2d_56.b_0" shape = [160] dtype = "float32" min_val = float("-0.491651") @@ -1892,6 +2064,7 @@ class Program_weight_tensor_parameter_171: class Program_weight_tensor_parameter_172: name = "parameter_172" + original_name = "batch_norm2d_56.w_0" shape = [160] dtype = "float32" min_val = float("-0.420618") @@ -1903,6 +2076,7 @@ class Program_weight_tensor_parameter_172: class Program_weight_tensor_parameter_173: name = "parameter_173" + original_name = "batch_norm2d_56.w_2" shape = [160] dtype = "float32" min_val = float("0.00758491") @@ -1914,6 +2088,7 @@ class Program_weight_tensor_parameter_173: class Program_weight_tensor_parameter_174: name = "parameter_174" + original_name = "batch_norm2d_56.w_1" shape = [160] dtype = "float32" min_val = float("-0.351461") @@ -1925,6 +2100,7 @@ class Program_weight_tensor_parameter_174: class Program_weight_tensor_parameter_175: name = "parameter_175" + original_name = "conv2d_59.w_0" shape = [160, 320, 1, 1] dtype = "float32" min_val = float("-0.659562") @@ -1936,6 +2112,7 @@ class Program_weight_tensor_parameter_175: class Program_weight_tensor_parameter_176: name = "parameter_176" + original_name = "conv2d_58.b_0" shape = [320] dtype = "float32" min_val = float("-2.04704") @@ -1947,6 +2124,7 @@ class Program_weight_tensor_parameter_176: class Program_weight_tensor_parameter_177: name = "parameter_177" + original_name = "conv2d_58.w_0" shape = [320, 1, 3, 3] dtype = "float32" min_val = float("-0.426622") @@ -1958,6 +2136,7 @@ class Program_weight_tensor_parameter_177: class Program_weight_tensor_parameter_178: name = "parameter_178" + original_name = "batch_norm2d_55.b_0" shape = [320] dtype = "float32" min_val = float("-5.13079") @@ -1969,6 +2148,7 @@ class Program_weight_tensor_parameter_178: class Program_weight_tensor_parameter_179: name = "parameter_179" + original_name = "batch_norm2d_55.w_0" shape = [320] dtype = "float32" min_val = float("0.489065") @@ -1980,6 +2160,7 @@ class Program_weight_tensor_parameter_179: class Program_weight_tensor_parameter_180: name = "parameter_180" + original_name = "batch_norm2d_55.w_2" shape = [320] dtype = "float32" min_val = float("1.72001") @@ -1991,6 +2172,7 @@ class Program_weight_tensor_parameter_180: class Program_weight_tensor_parameter_181: name = "parameter_181" + original_name = "batch_norm2d_55.w_1" shape = [320] dtype = "float32" min_val = float("-5.55958") @@ -2002,6 +2184,7 @@ class Program_weight_tensor_parameter_181: class Program_weight_tensor_parameter_182: name = "parameter_182" + original_name = "conv2d_57.w_0" shape = [320, 160, 1, 1] dtype = "float32" min_val = float("-0.388769") @@ -2013,6 +2196,7 @@ class Program_weight_tensor_parameter_182: class Program_weight_tensor_parameter_183: name = "parameter_183" + original_name = "batch_norm2d_50.b_0" shape = [160] dtype = "float32" min_val = float("-3.8491") @@ -2024,6 +2208,7 @@ class Program_weight_tensor_parameter_183: class Program_weight_tensor_parameter_184: name = "parameter_184" + original_name = "batch_norm2d_50.w_0" shape = [160] dtype = "float32" min_val = float("-2.92557") @@ -2035,6 +2220,7 @@ class Program_weight_tensor_parameter_184: class Program_weight_tensor_parameter_185: name = "parameter_185" + original_name = "batch_norm2d_50.w_2" shape = [160] dtype = "float32" min_val = float("0.0891018") @@ -2046,6 +2232,7 @@ class Program_weight_tensor_parameter_185: class Program_weight_tensor_parameter_186: name = "parameter_186" + original_name = "batch_norm2d_50.w_1" shape = [160] dtype = "float32" min_val = float("-0.889662") @@ -2057,6 +2244,7 @@ class Program_weight_tensor_parameter_186: class Program_weight_tensor_parameter_187: name = "parameter_187" + original_name = "conv2d_52.w_0" shape = [160, 192, 1, 1] dtype = "float32" min_val = float("-0.341971") @@ -2068,6 +2256,7 @@ class Program_weight_tensor_parameter_187: class Program_weight_tensor_parameter_188: name = "parameter_188" + original_name = "batch_norm2d_52.b_0" shape = [192] dtype = "float32" min_val = float("-2.37504") @@ -2079,6 +2268,7 @@ class Program_weight_tensor_parameter_188: class Program_weight_tensor_parameter_189: name = "parameter_189" + original_name = "batch_norm2d_52.w_0" shape = [192] dtype = "float32" min_val = float("-1.30002") @@ -2090,6 +2280,7 @@ class Program_weight_tensor_parameter_189: class Program_weight_tensor_parameter_190: name = "parameter_190" + original_name = "batch_norm2d_52.w_2" shape = [192] dtype = "float32" min_val = float("0.00872753") @@ -2101,6 +2292,7 @@ class Program_weight_tensor_parameter_190: class Program_weight_tensor_parameter_191: name = "parameter_191" + original_name = "batch_norm2d_52.w_1" shape = [192] dtype = "float32" min_val = float("-0.841789") @@ -2112,6 +2304,7 @@ class Program_weight_tensor_parameter_191: class Program_weight_tensor_parameter_192: name = "parameter_192" + original_name = "conv2d_54.w_0" shape = [192, 192, 1, 1] dtype = "float32" min_val = float("-0.333505") @@ -2123,6 +2316,7 @@ class Program_weight_tensor_parameter_192: class Program_weight_tensor_parameter_193: name = "parameter_193" + original_name = "batch_norm2d_51.b_0" shape = [192] dtype = "float32" min_val = float("-2.37508") @@ -2134,6 +2328,7 @@ class Program_weight_tensor_parameter_193: class Program_weight_tensor_parameter_194: name = "parameter_194" + original_name = "batch_norm2d_51.w_0" shape = [192] dtype = "float32" min_val = float("-1.44722") @@ -2145,6 +2340,7 @@ class Program_weight_tensor_parameter_194: class Program_weight_tensor_parameter_195: name = "parameter_195" + original_name = "batch_norm2d_51.w_2" shape = [192] dtype = "float32" min_val = float("0.00482623") @@ -2156,6 +2352,7 @@ class Program_weight_tensor_parameter_195: class Program_weight_tensor_parameter_196: name = "parameter_196" + original_name = "batch_norm2d_51.w_1" shape = [192] dtype = "float32" min_val = float("-0.82958") @@ -2167,6 +2364,7 @@ class Program_weight_tensor_parameter_196: class Program_weight_tensor_parameter_197: name = "parameter_197" + original_name = "conv2d_53.w_0" shape = [192, 192, 1, 1] dtype = "float32" min_val = float("-0.302041") @@ -2178,6 +2376,7 @@ class Program_weight_tensor_parameter_197: class Program_weight_tensor_parameter_198: name = "parameter_198" + original_name = "batch_norm2d_54.b_0" shape = [160] dtype = "float32" min_val = float("-10.8761") @@ -2189,6 +2388,7 @@ class Program_weight_tensor_parameter_198: class Program_weight_tensor_parameter_199: name = "parameter_199" + original_name = "batch_norm2d_54.w_0" shape = [160] dtype = "float32" min_val = float("0.681215") @@ -2200,6 +2400,7 @@ class Program_weight_tensor_parameter_199: class Program_weight_tensor_parameter_200: name = "parameter_200" + original_name = "batch_norm2d_54.w_2" shape = [160] dtype = "float32" min_val = float("0.0782633") @@ -2211,6 +2412,7 @@ class Program_weight_tensor_parameter_200: class Program_weight_tensor_parameter_201: name = "parameter_201" + original_name = "batch_norm2d_54.w_1" shape = [160] dtype = "float32" min_val = float("-0.947607") @@ -2222,6 +2424,7 @@ class Program_weight_tensor_parameter_201: class Program_weight_tensor_parameter_202: name = "parameter_202" + original_name = "conv2d_56.w_0" shape = [160, 384, 1, 1] dtype = "float32" min_val = float("-0.362102") @@ -2233,6 +2436,7 @@ class Program_weight_tensor_parameter_202: class Program_weight_tensor_parameter_203: name = "parameter_203" + original_name = "batch_norm2d_53.b_0" shape = [384] dtype = "float32" min_val = float("-3.87569") @@ -2244,6 +2448,7 @@ class Program_weight_tensor_parameter_203: class Program_weight_tensor_parameter_204: name = "parameter_204" + original_name = "batch_norm2d_53.w_0" shape = [384] dtype = "float32" min_val = float("0.511665") @@ -2255,6 +2460,7 @@ class Program_weight_tensor_parameter_204: class Program_weight_tensor_parameter_205: name = "parameter_205" + original_name = "batch_norm2d_53.w_2" shape = [384] dtype = "float32" min_val = float("0.000301414") @@ -2266,6 +2472,7 @@ class Program_weight_tensor_parameter_205: class Program_weight_tensor_parameter_206: name = "parameter_206" + original_name = "batch_norm2d_53.w_1" shape = [384] dtype = "float32" min_val = float("-0.867054") @@ -2277,6 +2484,7 @@ class Program_weight_tensor_parameter_206: class Program_weight_tensor_parameter_207: name = "parameter_207" + original_name = "conv2d_55.w_0" shape = [384, 1, 3, 3] dtype = "float32" min_val = float("-0.382248") @@ -2288,6 +2496,7 @@ class Program_weight_tensor_parameter_207: class Program_weight_tensor_parameter_208: name = "parameter_208" + original_name = "batch_norm2d_49.b_0" shape = [192] dtype = "float32" min_val = float("-1.76187") @@ -2299,6 +2508,7 @@ class Program_weight_tensor_parameter_208: class Program_weight_tensor_parameter_209: name = "parameter_209" + original_name = "batch_norm2d_49.w_0" shape = [192] dtype = "float32" min_val = float("0.324269") @@ -2310,6 +2520,7 @@ class Program_weight_tensor_parameter_209: class Program_weight_tensor_parameter_210: name = "parameter_210" + original_name = "batch_norm2d_49.w_2" shape = [192] dtype = "float32" min_val = float("3.06437") @@ -2321,6 +2532,7 @@ class Program_weight_tensor_parameter_210: class Program_weight_tensor_parameter_211: name = "parameter_211" + original_name = "batch_norm2d_49.w_1" shape = [192] dtype = "float32" min_val = float("-5.75436") @@ -2332,6 +2544,7 @@ class Program_weight_tensor_parameter_211: class Program_weight_tensor_parameter_212: name = "parameter_212" + original_name = "conv2d_51.w_0" shape = [192, 160, 1, 1] dtype = "float32" min_val = float("-0.623411") @@ -2343,6 +2556,7 @@ class Program_weight_tensor_parameter_212: class Program_weight_tensor_parameter_213: name = "parameter_213" + original_name = "batch_norm2d_48.b_0" shape = [96] dtype = "float32" min_val = float("-1.13031") @@ -2354,6 +2568,7 @@ class Program_weight_tensor_parameter_213: class Program_weight_tensor_parameter_214: name = "parameter_214" + original_name = "batch_norm2d_48.w_0" shape = [96] dtype = "float32" min_val = float("0.108122") @@ -2365,6 +2580,7 @@ class Program_weight_tensor_parameter_214: class Program_weight_tensor_parameter_215: name = "parameter_215" + original_name = "batch_norm2d_48.w_2" shape = [96] dtype = "float32" min_val = float("1.50696") @@ -2376,6 +2592,7 @@ class Program_weight_tensor_parameter_215: class Program_weight_tensor_parameter_216: name = "parameter_216" + original_name = "batch_norm2d_48.w_1" shape = [96] dtype = "float32" min_val = float("-4.29504") @@ -2387,6 +2604,7 @@ class Program_weight_tensor_parameter_216: class Program_weight_tensor_parameter_217: name = "parameter_217" + original_name = "conv2d_50.w_0" shape = [96, 160, 1, 1] dtype = "float32" min_val = float("-0.426308") @@ -2398,6 +2616,7 @@ class Program_weight_tensor_parameter_217: class Program_weight_tensor_parameter_218: name = "parameter_218" + original_name = "batch_norm2d_47.b_0" shape = [96] dtype = "float32" min_val = float("-2.74204") @@ -2409,6 +2628,7 @@ class Program_weight_tensor_parameter_218: class Program_weight_tensor_parameter_219: name = "parameter_219" + original_name = "batch_norm2d_47.w_0" shape = [96] dtype = "float32" min_val = float("0.0607976") @@ -2420,6 +2640,7 @@ class Program_weight_tensor_parameter_219: class Program_weight_tensor_parameter_220: name = "parameter_220" + original_name = "batch_norm2d_47.w_2" shape = [96] dtype = "float32" min_val = float("1.62153") @@ -2431,6 +2652,7 @@ class Program_weight_tensor_parameter_220: class Program_weight_tensor_parameter_221: name = "parameter_221" + original_name = "batch_norm2d_47.w_1" shape = [96] dtype = "float32" min_val = float("-3.10706") @@ -2442,6 +2664,7 @@ class Program_weight_tensor_parameter_221: class Program_weight_tensor_parameter_222: name = "parameter_222" + original_name = "conv2d_49.w_0" shape = [96, 160, 1, 1] dtype = "float32" min_val = float("-0.378679") @@ -2453,6 +2676,7 @@ class Program_weight_tensor_parameter_222: class Program_weight_tensor_parameter_223: name = "parameter_223" + original_name = "batch_norm2d_46.b_0" shape = [160] dtype = "float32" min_val = float("-1.10904") @@ -2464,6 +2688,7 @@ class Program_weight_tensor_parameter_223: class Program_weight_tensor_parameter_224: name = "parameter_224" + original_name = "batch_norm2d_46.w_0" shape = [160] dtype = "float32" min_val = float("0.252018") @@ -2475,6 +2700,7 @@ class Program_weight_tensor_parameter_224: class Program_weight_tensor_parameter_225: name = "parameter_225" + original_name = "batch_norm2d_46.w_2" shape = [160] dtype = "float32" min_val = float("0.00990516") @@ -2486,6 +2712,7 @@ class Program_weight_tensor_parameter_225: class Program_weight_tensor_parameter_226: name = "parameter_226" + original_name = "batch_norm2d_46.w_1" shape = [160] dtype = "float32" min_val = float("-0.579024") @@ -2497,6 +2724,7 @@ class Program_weight_tensor_parameter_226: class Program_weight_tensor_parameter_227: name = "parameter_227" + original_name = "conv2d_48.w_0" shape = [160, 320, 1, 1] dtype = "float32" min_val = float("-0.441261") @@ -2508,6 +2736,7 @@ class Program_weight_tensor_parameter_227: class Program_weight_tensor_parameter_228: name = "parameter_228" + original_name = "conv2d_47.b_0" shape = [320] dtype = "float32" min_val = float("-3.72808") @@ -2519,6 +2748,7 @@ class Program_weight_tensor_parameter_228: class Program_weight_tensor_parameter_229: name = "parameter_229" + original_name = "conv2d_47.w_0" shape = [320, 1, 3, 3] dtype = "float32" min_val = float("-0.484868") @@ -2530,6 +2760,7 @@ class Program_weight_tensor_parameter_229: class Program_weight_tensor_parameter_230: name = "parameter_230" + original_name = "batch_norm2d_45.b_0" shape = [320] dtype = "float32" min_val = float("-4.42061") @@ -2541,6 +2772,7 @@ class Program_weight_tensor_parameter_230: class Program_weight_tensor_parameter_231: name = "parameter_231" + original_name = "batch_norm2d_45.w_0" shape = [320] dtype = "float32" min_val = float("0.437423") @@ -2552,6 +2784,7 @@ class Program_weight_tensor_parameter_231: class Program_weight_tensor_parameter_232: name = "parameter_232" + original_name = "batch_norm2d_45.w_2" shape = [320] dtype = "float32" min_val = float("1.80384") @@ -2563,6 +2796,7 @@ class Program_weight_tensor_parameter_232: class Program_weight_tensor_parameter_233: name = "parameter_233" + original_name = "batch_norm2d_45.w_1" shape = [320] dtype = "float32" min_val = float("-3.76114") @@ -2574,6 +2808,7 @@ class Program_weight_tensor_parameter_233: class Program_weight_tensor_parameter_234: name = "parameter_234" + original_name = "conv2d_46.w_0" shape = [320, 160, 1, 1] dtype = "float32" min_val = float("-0.562467") @@ -2585,6 +2820,7 @@ class Program_weight_tensor_parameter_234: class Program_weight_tensor_parameter_235: name = "parameter_235" + original_name = "batch_norm2d_40.b_0" shape = [160] dtype = "float32" min_val = float("-2.7042") @@ -2596,6 +2832,7 @@ class Program_weight_tensor_parameter_235: class Program_weight_tensor_parameter_236: name = "parameter_236" + original_name = "batch_norm2d_40.w_0" shape = [160] dtype = "float32" min_val = float("-2.64835") @@ -2607,6 +2844,7 @@ class Program_weight_tensor_parameter_236: class Program_weight_tensor_parameter_237: name = "parameter_237" + original_name = "batch_norm2d_40.w_2" shape = [160] dtype = "float32" min_val = float("0.0989894") @@ -2618,6 +2856,7 @@ class Program_weight_tensor_parameter_237: class Program_weight_tensor_parameter_238: name = "parameter_238" + original_name = "batch_norm2d_40.w_1" shape = [160] dtype = "float32" min_val = float("-0.976287") @@ -2629,6 +2868,7 @@ class Program_weight_tensor_parameter_238: class Program_weight_tensor_parameter_239: name = "parameter_239" + original_name = "conv2d_41.w_0" shape = [160, 192, 1, 1] dtype = "float32" min_val = float("-0.348199") @@ -2640,6 +2880,7 @@ class Program_weight_tensor_parameter_239: class Program_weight_tensor_parameter_240: name = "parameter_240" + original_name = "batch_norm2d_42.b_0" shape = [192] dtype = "float32" min_val = float("-2.47227") @@ -2651,6 +2892,7 @@ class Program_weight_tensor_parameter_240: class Program_weight_tensor_parameter_241: name = "parameter_241" + original_name = "batch_norm2d_42.w_0" shape = [192] dtype = "float32" min_val = float("-1.18387") @@ -2662,6 +2904,7 @@ class Program_weight_tensor_parameter_241: class Program_weight_tensor_parameter_242: name = "parameter_242" + original_name = "batch_norm2d_42.w_2" shape = [192] dtype = "float32" min_val = float("0.00703715") @@ -2673,6 +2916,7 @@ class Program_weight_tensor_parameter_242: class Program_weight_tensor_parameter_243: name = "parameter_243" + original_name = "batch_norm2d_42.w_1" shape = [192] dtype = "float32" min_val = float("-1.15654") @@ -2684,6 +2928,7 @@ class Program_weight_tensor_parameter_243: class Program_weight_tensor_parameter_244: name = "parameter_244" + original_name = "conv2d_43.w_0" shape = [192, 192, 1, 1] dtype = "float32" min_val = float("-0.335779") @@ -2695,6 +2940,7 @@ class Program_weight_tensor_parameter_244: class Program_weight_tensor_parameter_245: name = "parameter_245" + original_name = "batch_norm2d_41.b_0" shape = [192] dtype = "float32" min_val = float("-2.4724") @@ -2706,6 +2952,7 @@ class Program_weight_tensor_parameter_245: class Program_weight_tensor_parameter_246: name = "parameter_246" + original_name = "batch_norm2d_41.w_0" shape = [192] dtype = "float32" min_val = float("-1.56191") @@ -2717,6 +2964,7 @@ class Program_weight_tensor_parameter_246: class Program_weight_tensor_parameter_247: name = "parameter_247" + original_name = "batch_norm2d_41.w_2" shape = [192] dtype = "float32" min_val = float("0.00511736") @@ -2728,6 +2976,7 @@ class Program_weight_tensor_parameter_247: class Program_weight_tensor_parameter_248: name = "parameter_248" + original_name = "batch_norm2d_41.w_1" shape = [192] dtype = "float32" min_val = float("-0.93404") @@ -2739,6 +2988,7 @@ class Program_weight_tensor_parameter_248: class Program_weight_tensor_parameter_249: name = "parameter_249" + original_name = "conv2d_42.w_0" shape = [192, 192, 1, 1] dtype = "float32" min_val = float("-0.419101") @@ -2750,6 +3000,7 @@ class Program_weight_tensor_parameter_249: class Program_weight_tensor_parameter_250: name = "parameter_250" + original_name = "batch_norm2d_44.b_0" shape = [160] dtype = "float32" min_val = float("-9.5367") @@ -2761,6 +3012,7 @@ class Program_weight_tensor_parameter_250: class Program_weight_tensor_parameter_251: name = "parameter_251" + original_name = "batch_norm2d_44.w_0" shape = [160] dtype = "float32" min_val = float("0.833508") @@ -2772,6 +3024,7 @@ class Program_weight_tensor_parameter_251: class Program_weight_tensor_parameter_252: name = "parameter_252" + original_name = "batch_norm2d_44.w_2" shape = [160] dtype = "float32" min_val = float("0.102768") @@ -2783,6 +3036,7 @@ class Program_weight_tensor_parameter_252: class Program_weight_tensor_parameter_253: name = "parameter_253" + original_name = "batch_norm2d_44.w_1" shape = [160] dtype = "float32" min_val = float("-0.852297") @@ -2794,6 +3048,7 @@ class Program_weight_tensor_parameter_253: class Program_weight_tensor_parameter_254: name = "parameter_254" + original_name = "conv2d_45.w_0" shape = [160, 384, 1, 1] dtype = "float32" min_val = float("-0.491285") @@ -2805,6 +3060,7 @@ class Program_weight_tensor_parameter_254: class Program_weight_tensor_parameter_255: name = "parameter_255" + original_name = "batch_norm2d_43.b_0" shape = [384] dtype = "float32" min_val = float("-4.60269") @@ -2816,6 +3072,7 @@ class Program_weight_tensor_parameter_255: class Program_weight_tensor_parameter_256: name = "parameter_256" + original_name = "batch_norm2d_43.w_0" shape = [384] dtype = "float32" min_val = float("0.476992") @@ -2827,6 +3084,7 @@ class Program_weight_tensor_parameter_256: class Program_weight_tensor_parameter_257: name = "parameter_257" + original_name = "batch_norm2d_43.w_2" shape = [384] dtype = "float32" min_val = float("0.000463212") @@ -2838,6 +3096,7 @@ class Program_weight_tensor_parameter_257: class Program_weight_tensor_parameter_258: name = "parameter_258" + original_name = "batch_norm2d_43.w_1" shape = [384] dtype = "float32" min_val = float("-0.745419") @@ -2849,6 +3108,7 @@ class Program_weight_tensor_parameter_258: class Program_weight_tensor_parameter_259: name = "parameter_259" + original_name = "conv2d_44.w_0" shape = [384, 1, 3, 3] dtype = "float32" min_val = float("-0.357631") @@ -2860,6 +3120,7 @@ class Program_weight_tensor_parameter_259: class Program_weight_tensor_parameter_260: name = "parameter_260" + original_name = "batch_norm2d_39.b_0" shape = [192] dtype = "float32" min_val = float("-1.39207") @@ -2871,6 +3132,7 @@ class Program_weight_tensor_parameter_260: class Program_weight_tensor_parameter_261: name = "parameter_261" + original_name = "batch_norm2d_39.w_0" shape = [192] dtype = "float32" min_val = float("0.0656485") @@ -2882,6 +3144,7 @@ class Program_weight_tensor_parameter_261: class Program_weight_tensor_parameter_262: name = "parameter_262" + original_name = "batch_norm2d_39.w_2" shape = [192] dtype = "float32" min_val = float("2.51654") @@ -2893,6 +3156,7 @@ class Program_weight_tensor_parameter_262: class Program_weight_tensor_parameter_263: name = "parameter_263" + original_name = "batch_norm2d_39.w_1" shape = [192] dtype = "float32" min_val = float("-7.52958") @@ -2904,6 +3168,7 @@ class Program_weight_tensor_parameter_263: class Program_weight_tensor_parameter_264: name = "parameter_264" + original_name = "conv2d_40.w_0" shape = [192, 160, 1, 1] dtype = "float32" min_val = float("-0.717801") @@ -2915,6 +3180,7 @@ class Program_weight_tensor_parameter_264: class Program_weight_tensor_parameter_265: name = "parameter_265" + original_name = "batch_norm2d_38.b_0" shape = [96] dtype = "float32" min_val = float("-1.22609") @@ -2926,6 +3192,7 @@ class Program_weight_tensor_parameter_265: class Program_weight_tensor_parameter_266: name = "parameter_266" + original_name = "batch_norm2d_38.w_0" shape = [96] dtype = "float32" min_val = float("0.0709358") @@ -2937,6 +3204,7 @@ class Program_weight_tensor_parameter_266: class Program_weight_tensor_parameter_267: name = "parameter_267" + original_name = "batch_norm2d_38.w_2" shape = [96] dtype = "float32" min_val = float("1.77002") @@ -2948,6 +3216,7 @@ class Program_weight_tensor_parameter_267: class Program_weight_tensor_parameter_268: name = "parameter_268" + original_name = "batch_norm2d_38.w_1" shape = [96] dtype = "float32" min_val = float("-3.31063") @@ -2959,6 +3228,7 @@ class Program_weight_tensor_parameter_268: class Program_weight_tensor_parameter_269: name = "parameter_269" + original_name = "conv2d_39.w_0" shape = [96, 160, 1, 1] dtype = "float32" min_val = float("-0.440663") @@ -2970,6 +3240,7 @@ class Program_weight_tensor_parameter_269: class Program_weight_tensor_parameter_270: name = "parameter_270" + original_name = "batch_norm2d_37.b_0" shape = [96] dtype = "float32" min_val = float("-1.26974") @@ -2981,6 +3252,7 @@ class Program_weight_tensor_parameter_270: class Program_weight_tensor_parameter_271: name = "parameter_271" + original_name = "batch_norm2d_37.w_0" shape = [96] dtype = "float32" min_val = float("0.115087") @@ -2992,6 +3264,7 @@ class Program_weight_tensor_parameter_271: class Program_weight_tensor_parameter_272: name = "parameter_272" + original_name = "batch_norm2d_37.w_2" shape = [96] dtype = "float32" min_val = float("1.51623") @@ -3003,6 +3276,7 @@ class Program_weight_tensor_parameter_272: class Program_weight_tensor_parameter_273: name = "parameter_273" + original_name = "batch_norm2d_37.w_1" shape = [96] dtype = "float32" min_val = float("-4.52321") @@ -3014,6 +3288,7 @@ class Program_weight_tensor_parameter_273: class Program_weight_tensor_parameter_274: name = "parameter_274" + original_name = "conv2d_38.w_0" shape = [96, 160, 1, 1] dtype = "float32" min_val = float("-0.374328") @@ -3025,6 +3300,7 @@ class Program_weight_tensor_parameter_274: class Program_weight_tensor_parameter_275: name = "parameter_275" + original_name = "batch_norm2d_36.b_0" shape = [160] dtype = "float32" min_val = float("-0.00327022") @@ -3036,6 +3312,7 @@ class Program_weight_tensor_parameter_275: class Program_weight_tensor_parameter_276: name = "parameter_276" + original_name = "batch_norm2d_36.w_0" shape = [160] dtype = "float32" min_val = float("0.387327") @@ -3047,6 +3324,7 @@ class Program_weight_tensor_parameter_276: class Program_weight_tensor_parameter_277: name = "parameter_277" + original_name = "batch_norm2d_36.w_2" shape = [160] dtype = "float32" min_val = float("0.0416635") @@ -3058,6 +3336,7 @@ class Program_weight_tensor_parameter_277: class Program_weight_tensor_parameter_278: name = "parameter_278" + original_name = "batch_norm2d_36.w_1" shape = [160] dtype = "float32" min_val = float("-0.788108") @@ -3069,6 +3348,7 @@ class Program_weight_tensor_parameter_278: class Program_weight_tensor_parameter_279: name = "parameter_279" + original_name = "conv2d_37.w_0" shape = [160, 320, 1, 1] dtype = "float32" min_val = float("-0.56769") @@ -3080,6 +3360,7 @@ class Program_weight_tensor_parameter_279: class Program_weight_tensor_parameter_280: name = "parameter_280" + original_name = "conv2d_36.b_0" shape = [320] dtype = "float32" min_val = float("-3.51341") @@ -3091,6 +3372,7 @@ class Program_weight_tensor_parameter_280: class Program_weight_tensor_parameter_281: name = "parameter_281" + original_name = "conv2d_36.w_0" shape = [320, 1, 3, 3] dtype = "float32" min_val = float("-0.549087") @@ -3102,6 +3384,7 @@ class Program_weight_tensor_parameter_281: class Program_weight_tensor_parameter_282: name = "parameter_282" + original_name = "batch_norm2d_35.b_0" shape = [320] dtype = "float32" min_val = float("-3.94091") @@ -3113,6 +3396,7 @@ class Program_weight_tensor_parameter_282: class Program_weight_tensor_parameter_283: name = "parameter_283" + original_name = "batch_norm2d_35.w_0" shape = [320] dtype = "float32" min_val = float("0.901889") @@ -3124,6 +3408,7 @@ class Program_weight_tensor_parameter_283: class Program_weight_tensor_parameter_284: name = "parameter_284" + original_name = "batch_norm2d_35.w_2" shape = [320] dtype = "float32" min_val = float("1.20738") @@ -3135,6 +3420,7 @@ class Program_weight_tensor_parameter_284: class Program_weight_tensor_parameter_285: name = "parameter_285" + original_name = "batch_norm2d_35.w_1" shape = [320] dtype = "float32" min_val = float("-5.92147") @@ -3146,6 +3432,7 @@ class Program_weight_tensor_parameter_285: class Program_weight_tensor_parameter_286: name = "parameter_286" + original_name = "conv2d_35.w_0" shape = [320, 160, 1, 1] dtype = "float32" min_val = float("-0.734099") @@ -3157,6 +3444,7 @@ class Program_weight_tensor_parameter_286: class Program_weight_tensor_parameter_287: name = "parameter_287" + original_name = "batch_norm2d_30.b_0" shape = [160] dtype = "float32" min_val = float("-2.48405") @@ -3168,6 +3456,7 @@ class Program_weight_tensor_parameter_287: class Program_weight_tensor_parameter_288: name = "parameter_288" + original_name = "batch_norm2d_30.w_0" shape = [160] dtype = "float32" min_val = float("-2.18063") @@ -3179,6 +3468,7 @@ class Program_weight_tensor_parameter_288: class Program_weight_tensor_parameter_289: name = "parameter_289" + original_name = "batch_norm2d_30.w_2" shape = [160] dtype = "float32" min_val = float("0.0928075") @@ -3190,6 +3480,7 @@ class Program_weight_tensor_parameter_289: class Program_weight_tensor_parameter_290: name = "parameter_290" + original_name = "batch_norm2d_30.w_1" shape = [160] dtype = "float32" min_val = float("-1.47036") @@ -3201,6 +3492,7 @@ class Program_weight_tensor_parameter_290: class Program_weight_tensor_parameter_291: name = "parameter_291" + original_name = "conv2d_30.w_0" shape = [160, 192, 1, 1] dtype = "float32" min_val = float("-0.717852") @@ -3212,6 +3504,7 @@ class Program_weight_tensor_parameter_291: class Program_weight_tensor_parameter_292: name = "parameter_292" + original_name = "batch_norm2d_32.b_0" shape = [192] dtype = "float32" min_val = float("-5.65278") @@ -3223,6 +3516,7 @@ class Program_weight_tensor_parameter_292: class Program_weight_tensor_parameter_293: name = "parameter_293" + original_name = "batch_norm2d_32.w_0" shape = [192] dtype = "float32" min_val = float("-2.98867") @@ -3234,6 +3528,7 @@ class Program_weight_tensor_parameter_293: class Program_weight_tensor_parameter_294: name = "parameter_294" + original_name = "batch_norm2d_32.w_2" shape = [192] dtype = "float32" min_val = float("0.0298566") @@ -3245,6 +3540,7 @@ class Program_weight_tensor_parameter_294: class Program_weight_tensor_parameter_295: name = "parameter_295" + original_name = "batch_norm2d_32.w_1" shape = [192] dtype = "float32" min_val = float("-1.59128") @@ -3256,6 +3552,7 @@ class Program_weight_tensor_parameter_295: class Program_weight_tensor_parameter_296: name = "parameter_296" + original_name = "conv2d_32.w_0" shape = [192, 192, 1, 1] dtype = "float32" min_val = float("-0.535143") @@ -3267,6 +3564,7 @@ class Program_weight_tensor_parameter_296: class Program_weight_tensor_parameter_297: name = "parameter_297" + original_name = "batch_norm2d_31.b_0" shape = [192] dtype = "float32" min_val = float("-5.65277") @@ -3278,6 +3576,7 @@ class Program_weight_tensor_parameter_297: class Program_weight_tensor_parameter_298: name = "parameter_298" + original_name = "batch_norm2d_31.w_0" shape = [192] dtype = "float32" min_val = float("-2.37812") @@ -3289,6 +3588,7 @@ class Program_weight_tensor_parameter_298: class Program_weight_tensor_parameter_299: name = "parameter_299" + original_name = "batch_norm2d_31.w_2" shape = [192] dtype = "float32" min_val = float("0.0171108") @@ -3300,6 +3600,7 @@ class Program_weight_tensor_parameter_299: class Program_weight_tensor_parameter_300: name = "parameter_300" + original_name = "batch_norm2d_31.w_1" shape = [192] dtype = "float32" min_val = float("-1.91704") @@ -3311,6 +3612,7 @@ class Program_weight_tensor_parameter_300: class Program_weight_tensor_parameter_301: name = "parameter_301" + original_name = "conv2d_31.w_0" shape = [192, 192, 1, 1] dtype = "float32" min_val = float("-0.654884") @@ -3322,6 +3624,7 @@ class Program_weight_tensor_parameter_301: class Program_weight_tensor_parameter_302: name = "parameter_302" + original_name = "batch_norm2d_34.b_0" shape = [160] dtype = "float32" min_val = float("-13.9114") @@ -3333,6 +3636,7 @@ class Program_weight_tensor_parameter_302: class Program_weight_tensor_parameter_303: name = "parameter_303" + original_name = "batch_norm2d_34.w_0" shape = [160] dtype = "float32" min_val = float("0.637045") @@ -3344,6 +3648,7 @@ class Program_weight_tensor_parameter_303: class Program_weight_tensor_parameter_304: name = "parameter_304" + original_name = "batch_norm2d_34.w_2" shape = [160] dtype = "float32" min_val = float("0.250958") @@ -3355,6 +3660,7 @@ class Program_weight_tensor_parameter_304: class Program_weight_tensor_parameter_305: name = "parameter_305" + original_name = "batch_norm2d_34.w_1" shape = [160] dtype = "float32" min_val = float("-5.07249") @@ -3366,6 +3672,7 @@ class Program_weight_tensor_parameter_305: class Program_weight_tensor_parameter_306: name = "parameter_306" + original_name = "conv2d_34.w_0" shape = [160, 384, 1, 1] dtype = "float32" min_val = float("-0.871533") @@ -3377,6 +3684,7 @@ class Program_weight_tensor_parameter_306: class Program_weight_tensor_parameter_307: name = "parameter_307" + original_name = "batch_norm2d_33.b_0" shape = [384] dtype = "float32" min_val = float("-5.3433") @@ -3388,6 +3696,7 @@ class Program_weight_tensor_parameter_307: class Program_weight_tensor_parameter_308: name = "parameter_308" + original_name = "batch_norm2d_33.w_0" shape = [384] dtype = "float32" min_val = float("0.531147") @@ -3399,6 +3708,7 @@ class Program_weight_tensor_parameter_308: class Program_weight_tensor_parameter_309: name = "parameter_309" + original_name = "batch_norm2d_33.w_2" shape = [384] dtype = "float32" min_val = float("0.000515588") @@ -3410,6 +3720,7 @@ class Program_weight_tensor_parameter_309: class Program_weight_tensor_parameter_310: name = "parameter_310" + original_name = "batch_norm2d_33.w_1" shape = [384] dtype = "float32" min_val = float("-4.573") @@ -3421,6 +3732,7 @@ class Program_weight_tensor_parameter_310: class Program_weight_tensor_parameter_311: name = "parameter_311" + original_name = "conv2d_33.w_0" shape = [384, 1, 3, 3] dtype = "float32" min_val = float("-0.715493") @@ -3432,6 +3744,7 @@ class Program_weight_tensor_parameter_311: class Program_weight_tensor_parameter_312: name = "parameter_312" + original_name = "batch_norm2d_29.b_0" shape = [192] dtype = "float32" min_val = float("-4.69529") @@ -3443,6 +3756,7 @@ class Program_weight_tensor_parameter_312: class Program_weight_tensor_parameter_313: name = "parameter_313" + original_name = "batch_norm2d_29.w_0" shape = [192] dtype = "float32" min_val = float("0.0920039") @@ -3454,6 +3768,7 @@ class Program_weight_tensor_parameter_313: class Program_weight_tensor_parameter_314: name = "parameter_314" + original_name = "batch_norm2d_29.w_2" shape = [192] dtype = "float32" min_val = float("1.59648") @@ -3465,6 +3780,7 @@ class Program_weight_tensor_parameter_314: class Program_weight_tensor_parameter_315: name = "parameter_315" + original_name = "batch_norm2d_29.w_1" shape = [192] dtype = "float32" min_val = float("-0.00427836") @@ -3476,6 +3792,7 @@ class Program_weight_tensor_parameter_315: class Program_weight_tensor_parameter_316: name = "parameter_316" + original_name = "conv2d_29.w_0" shape = [192, 160, 1, 1] dtype = "float32" min_val = float("-0.987647") @@ -3487,6 +3804,7 @@ class Program_weight_tensor_parameter_316: class Program_weight_tensor_parameter_317: name = "parameter_317" + original_name = "batch_norm2d_28.b_0" shape = [96] dtype = "float32" min_val = float("-1.77747") @@ -3498,6 +3816,7 @@ class Program_weight_tensor_parameter_317: class Program_weight_tensor_parameter_318: name = "parameter_318" + original_name = "batch_norm2d_28.w_0" shape = [96] dtype = "float32" min_val = float("0.0523727") @@ -3509,6 +3828,7 @@ class Program_weight_tensor_parameter_318: class Program_weight_tensor_parameter_319: name = "parameter_319" + original_name = "batch_norm2d_28.w_2" shape = [96] dtype = "float32" min_val = float("1.08635") @@ -3520,6 +3840,7 @@ class Program_weight_tensor_parameter_319: class Program_weight_tensor_parameter_320: name = "parameter_320" + original_name = "batch_norm2d_28.w_1" shape = [96] dtype = "float32" min_val = float("-0.00258461") @@ -3531,6 +3852,7 @@ class Program_weight_tensor_parameter_320: class Program_weight_tensor_parameter_321: name = "parameter_321" + original_name = "conv2d_28.w_0" shape = [96, 160, 1, 1] dtype = "float32" min_val = float("-0.71674") @@ -3542,6 +3864,7 @@ class Program_weight_tensor_parameter_321: class Program_weight_tensor_parameter_322: name = "parameter_322" + original_name = "batch_norm2d_27.b_0" shape = [96] dtype = "float32" min_val = float("-12.031") @@ -3553,6 +3876,7 @@ class Program_weight_tensor_parameter_322: class Program_weight_tensor_parameter_323: name = "parameter_323" + original_name = "batch_norm2d_27.w_0" shape = [96] dtype = "float32" min_val = float("0.0869672") @@ -3564,6 +3888,7 @@ class Program_weight_tensor_parameter_323: class Program_weight_tensor_parameter_324: name = "parameter_324" + original_name = "batch_norm2d_27.w_2" shape = [96] dtype = "float32" min_val = float("1.15927") @@ -3575,6 +3900,7 @@ class Program_weight_tensor_parameter_324: class Program_weight_tensor_parameter_325: name = "parameter_325" + original_name = "batch_norm2d_27.w_1" shape = [96] dtype = "float32" min_val = float("-0.00258741") @@ -3586,6 +3912,7 @@ class Program_weight_tensor_parameter_325: class Program_weight_tensor_parameter_326: name = "parameter_326" + original_name = "conv2d_27.w_0" shape = [96, 160, 1, 1] dtype = "float32" min_val = float("-0.840882") @@ -3597,6 +3924,7 @@ class Program_weight_tensor_parameter_326: class Program_weight_tensor_parameter_327: name = "parameter_327" + original_name = "batch_norm2d_23.b_0" shape = [160] dtype = "float32" min_val = float("-0.00496585") @@ -3608,6 +3936,7 @@ class Program_weight_tensor_parameter_327: class Program_weight_tensor_parameter_328: name = "parameter_328" + original_name = "batch_norm2d_23.w_0" shape = [160] dtype = "float32" min_val = float("0.847523") @@ -3619,6 +3948,7 @@ class Program_weight_tensor_parameter_328: class Program_weight_tensor_parameter_329: name = "parameter_329" + original_name = "batch_norm2d_23.w_2" shape = [160] dtype = "float32" min_val = float("2.44071") @@ -3630,6 +3960,7 @@ class Program_weight_tensor_parameter_329: class Program_weight_tensor_parameter_330: name = "parameter_330" + original_name = "batch_norm2d_23.w_1" shape = [160] dtype = "float32" min_val = float("-13.2659") @@ -3641,6 +3972,7 @@ class Program_weight_tensor_parameter_330: class Program_weight_tensor_parameter_331: name = "parameter_331" + original_name = "conv2d_23.w_0" shape = [160, 384, 1, 1] dtype = "float32" min_val = float("-0.939962") @@ -3652,6 +3984,7 @@ class Program_weight_tensor_parameter_331: class Program_weight_tensor_parameter_332: name = "parameter_332" + original_name = "batch_norm2d_22.b_0" shape = [384] dtype = "float32" min_val = float("-8.01603") @@ -3663,6 +3996,7 @@ class Program_weight_tensor_parameter_332: class Program_weight_tensor_parameter_333: name = "parameter_333" + original_name = "batch_norm2d_22.w_0" shape = [384] dtype = "float32" min_val = float("1.08085") @@ -3674,6 +4008,7 @@ class Program_weight_tensor_parameter_333: class Program_weight_tensor_parameter_334: name = "parameter_334" + original_name = "batch_norm2d_22.w_2" shape = [384] dtype = "float32" min_val = float("5.60519e-45") @@ -3685,6 +4020,7 @@ class Program_weight_tensor_parameter_334: class Program_weight_tensor_parameter_335: name = "parameter_335" + original_name = "batch_norm2d_22.w_1" shape = [384] dtype = "float32" min_val = float("-2.65927") @@ -3696,6 +4032,7 @@ class Program_weight_tensor_parameter_335: class Program_weight_tensor_parameter_336: name = "parameter_336" + original_name = "conv2d_22.w_0" shape = [384, 1, 5, 5] dtype = "float32" min_val = float("-0.401214") @@ -3707,6 +4044,7 @@ class Program_weight_tensor_parameter_336: class Program_weight_tensor_parameter_337: name = "parameter_337" + original_name = "batch_norm2d_21.b_0" shape = [384] dtype = "float32" min_val = float("-4.22972") @@ -3718,6 +4056,7 @@ class Program_weight_tensor_parameter_337: class Program_weight_tensor_parameter_338: name = "parameter_338" + original_name = "batch_norm2d_21.w_0" shape = [384] dtype = "float32" min_val = float("-0.009879") @@ -3729,6 +4068,7 @@ class Program_weight_tensor_parameter_338: class Program_weight_tensor_parameter_339: name = "parameter_339" + original_name = "batch_norm2d_21.w_2" shape = [384] dtype = "float32" min_val = float("5.60519e-45") @@ -3740,6 +4080,7 @@ class Program_weight_tensor_parameter_339: class Program_weight_tensor_parameter_340: name = "parameter_340" + original_name = "batch_norm2d_21.w_1" shape = [384] dtype = "float32" min_val = float("-0.00357057") @@ -3751,6 +4092,7 @@ class Program_weight_tensor_parameter_340: class Program_weight_tensor_parameter_341: name = "parameter_341" + original_name = "conv2d_21.w_0" shape = [384, 96, 1, 1] dtype = "float32" min_val = float("-0.745157") @@ -3762,6 +4104,7 @@ class Program_weight_tensor_parameter_341: class Program_weight_tensor_parameter_342: name = "parameter_342" + original_name = "batch_norm2d_20.b_0" shape = [96] dtype = "float32" min_val = float("-0.00147919") @@ -3773,6 +4116,7 @@ class Program_weight_tensor_parameter_342: class Program_weight_tensor_parameter_343: name = "parameter_343" + original_name = "batch_norm2d_20.w_0" shape = [96] dtype = "float32" min_val = float("1.00368") @@ -3784,6 +4128,7 @@ class Program_weight_tensor_parameter_343: class Program_weight_tensor_parameter_344: name = "parameter_344" + original_name = "batch_norm2d_20.w_2" shape = [96] dtype = "float32" min_val = float("0.894153") @@ -3795,6 +4140,7 @@ class Program_weight_tensor_parameter_344: class Program_weight_tensor_parameter_345: name = "parameter_345" + original_name = "batch_norm2d_20.w_1" shape = [96] dtype = "float32" min_val = float("-7.50301") @@ -3806,6 +4152,7 @@ class Program_weight_tensor_parameter_345: class Program_weight_tensor_parameter_346: name = "parameter_346" + original_name = "conv2d_20.w_0" shape = [96, 288, 1, 1] dtype = "float32" min_val = float("-0.484845") @@ -3817,6 +4164,7 @@ class Program_weight_tensor_parameter_346: class Program_weight_tensor_parameter_347: name = "parameter_347" + original_name = "batch_norm2d_19.b_0" shape = [288] dtype = "float32" min_val = float("-9.05633") @@ -3828,6 +4176,7 @@ class Program_weight_tensor_parameter_347: class Program_weight_tensor_parameter_348: name = "parameter_348" + original_name = "batch_norm2d_19.w_0" shape = [288] dtype = "float32" min_val = float("0.722175") @@ -3839,6 +4188,7 @@ class Program_weight_tensor_parameter_348: class Program_weight_tensor_parameter_349: name = "parameter_349" + original_name = "batch_norm2d_19.w_2" shape = [288] dtype = "float32" min_val = float("5.60519e-45") @@ -3850,6 +4200,7 @@ class Program_weight_tensor_parameter_349: class Program_weight_tensor_parameter_350: name = "parameter_350" + original_name = "batch_norm2d_19.w_1" shape = [288] dtype = "float32" min_val = float("-9.26525") @@ -3861,6 +4212,7 @@ class Program_weight_tensor_parameter_350: class Program_weight_tensor_parameter_351: name = "parameter_351" + original_name = "conv2d_19.w_0" shape = [288, 1, 3, 3] dtype = "float32" min_val = float("-0.685085") @@ -3872,6 +4224,7 @@ class Program_weight_tensor_parameter_351: class Program_weight_tensor_parameter_352: name = "parameter_352" + original_name = "batch_norm2d_18.b_0" shape = [288] dtype = "float32" min_val = float("-2.97378") @@ -3883,6 +4236,7 @@ class Program_weight_tensor_parameter_352: class Program_weight_tensor_parameter_353: name = "parameter_353" + original_name = "batch_norm2d_18.w_0" shape = [288] dtype = "float32" min_val = float("0.177668") @@ -3894,6 +4248,7 @@ class Program_weight_tensor_parameter_353: class Program_weight_tensor_parameter_354: name = "parameter_354" + original_name = "batch_norm2d_18.w_2" shape = [288] dtype = "float32" min_val = float("5.60519e-45") @@ -3905,6 +4260,7 @@ class Program_weight_tensor_parameter_354: class Program_weight_tensor_parameter_355: name = "parameter_355" + original_name = "batch_norm2d_18.w_1" shape = [288] dtype = "float32" min_val = float("-0.00338306") @@ -3916,6 +4272,7 @@ class Program_weight_tensor_parameter_355: class Program_weight_tensor_parameter_356: name = "parameter_356" + original_name = "conv2d_18.w_0" shape = [288, 96, 1, 1] dtype = "float32" min_val = float("-0.461763") @@ -3927,6 +4284,7 @@ class Program_weight_tensor_parameter_356: class Program_weight_tensor_parameter_357: name = "parameter_357" + original_name = "batch_norm2d_17.b_0" shape = [96] dtype = "float32" min_val = float("-0.00322852") @@ -3938,6 +4296,7 @@ class Program_weight_tensor_parameter_357: class Program_weight_tensor_parameter_358: name = "parameter_358" + original_name = "batch_norm2d_17.w_0" shape = [96] dtype = "float32" min_val = float("1.37513") @@ -3949,6 +4308,7 @@ class Program_weight_tensor_parameter_358: class Program_weight_tensor_parameter_359: name = "parameter_359" + original_name = "batch_norm2d_17.w_2" shape = [96] dtype = "float32" min_val = float("1.93075") @@ -3960,6 +4320,7 @@ class Program_weight_tensor_parameter_359: class Program_weight_tensor_parameter_360: name = "parameter_360" + original_name = "batch_norm2d_17.w_1" shape = [96] dtype = "float32" min_val = float("-19.3165") @@ -3971,6 +4332,7 @@ class Program_weight_tensor_parameter_360: class Program_weight_tensor_parameter_361: name = "parameter_361" + original_name = "conv2d_17.w_0" shape = [96, 144, 1, 1] dtype = "float32" min_val = float("-0.906756") @@ -3982,6 +4344,7 @@ class Program_weight_tensor_parameter_361: class Program_weight_tensor_parameter_362: name = "parameter_362" + original_name = "batch_norm2d_16.b_0" shape = [144] dtype = "float32" min_val = float("-3.34992") @@ -3993,6 +4356,7 @@ class Program_weight_tensor_parameter_362: class Program_weight_tensor_parameter_363: name = "parameter_363" + original_name = "batch_norm2d_16.w_0" shape = [144] dtype = "float32" min_val = float("1.41069") @@ -4004,6 +4368,7 @@ class Program_weight_tensor_parameter_363: class Program_weight_tensor_parameter_364: name = "parameter_364" + original_name = "batch_norm2d_16.w_2" shape = [144] dtype = "float32" min_val = float("0.103286") @@ -4015,6 +4380,7 @@ class Program_weight_tensor_parameter_364: class Program_weight_tensor_parameter_365: name = "parameter_365" + original_name = "batch_norm2d_16.w_1" shape = [144] dtype = "float32" min_val = float("-4.14255") @@ -4026,6 +4392,7 @@ class Program_weight_tensor_parameter_365: class Program_weight_tensor_parameter_366: name = "parameter_366" + original_name = "conv2d_16.w_0" shape = [144, 1, 3, 3] dtype = "float32" min_val = float("-0.353054") @@ -4037,6 +4404,7 @@ class Program_weight_tensor_parameter_366: class Program_weight_tensor_parameter_367: name = "parameter_367" + original_name = "batch_norm2d_15.b_0" shape = [144] dtype = "float32" min_val = float("-3.34908") @@ -4048,6 +4416,7 @@ class Program_weight_tensor_parameter_367: class Program_weight_tensor_parameter_368: name = "parameter_368" + original_name = "batch_norm2d_15.w_0" shape = [144] dtype = "float32" min_val = float("0.576562") @@ -4059,6 +4428,7 @@ class Program_weight_tensor_parameter_368: class Program_weight_tensor_parameter_369: name = "parameter_369" + original_name = "batch_norm2d_15.w_2" shape = [144] dtype = "float32" min_val = float("13.9541") @@ -4070,6 +4440,7 @@ class Program_weight_tensor_parameter_369: class Program_weight_tensor_parameter_370: name = "parameter_370" + original_name = "batch_norm2d_15.w_1" shape = [144] dtype = "float32" min_val = float("-0.0050809") @@ -4081,6 +4452,7 @@ class Program_weight_tensor_parameter_370: class Program_weight_tensor_parameter_371: name = "parameter_371" + original_name = "conv2d_15.w_0" shape = [144, 48, 1, 1] dtype = "float32" min_val = float("-1.40546") @@ -4092,6 +4464,7 @@ class Program_weight_tensor_parameter_371: class Program_weight_tensor_parameter_372: name = "parameter_372" + original_name = "batch_norm2d_14.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -4101,6 +4474,7 @@ class Program_weight_tensor_parameter_372: class Program_weight_tensor_parameter_373: name = "parameter_373" + original_name = "batch_norm2d_14.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -4110,6 +4484,7 @@ class Program_weight_tensor_parameter_373: class Program_weight_tensor_parameter_374: name = "parameter_374" + original_name = "batch_norm2d_14.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -4119,6 +4494,7 @@ class Program_weight_tensor_parameter_374: class Program_weight_tensor_parameter_375: name = "parameter_375" + original_name = "batch_norm2d_14.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -4128,6 +4504,7 @@ class Program_weight_tensor_parameter_375: class Program_weight_tensor_parameter_376: name = "parameter_376" + original_name = "conv2d_14.w_0" shape = [48, 144, 1, 1] dtype = "float32" min_val = float("-0.732577") @@ -4139,6 +4516,7 @@ class Program_weight_tensor_parameter_376: class Program_weight_tensor_parameter_377: name = "parameter_377" + original_name = "batch_norm2d_13.b_0" shape = [144] dtype = "float32" min_val = float("-5.56949") @@ -4150,6 +4528,7 @@ class Program_weight_tensor_parameter_377: class Program_weight_tensor_parameter_378: name = "parameter_378" + original_name = "batch_norm2d_13.w_0" shape = [144] dtype = "float32" min_val = float("1.17849") @@ -4161,6 +4540,7 @@ class Program_weight_tensor_parameter_378: class Program_weight_tensor_parameter_379: name = "parameter_379" + original_name = "batch_norm2d_13.w_2" shape = [144] dtype = "float32" min_val = float("5.60519e-45") @@ -4172,6 +4552,7 @@ class Program_weight_tensor_parameter_379: class Program_weight_tensor_parameter_380: name = "parameter_380" + original_name = "batch_norm2d_13.w_1" shape = [144] dtype = "float32" min_val = float("-4.45721") @@ -4183,6 +4564,7 @@ class Program_weight_tensor_parameter_380: class Program_weight_tensor_parameter_381: name = "parameter_381" + original_name = "conv2d_13.w_0" shape = [144, 1, 5, 5] dtype = "float32" min_val = float("-1.01605") @@ -4194,6 +4576,7 @@ class Program_weight_tensor_parameter_381: class Program_weight_tensor_parameter_382: name = "parameter_382" + original_name = "batch_norm2d_12.b_0" shape = [144] dtype = "float32" min_val = float("-5.37509") @@ -4205,6 +4588,7 @@ class Program_weight_tensor_parameter_382: class Program_weight_tensor_parameter_383: name = "parameter_383" + original_name = "batch_norm2d_12.w_0" shape = [144] dtype = "float32" min_val = float("0.196069") @@ -4216,6 +4600,7 @@ class Program_weight_tensor_parameter_383: class Program_weight_tensor_parameter_384: name = "parameter_384" + original_name = "batch_norm2d_12.w_2" shape = [144] dtype = "float32" min_val = float("5.60519e-45") @@ -4227,6 +4612,7 @@ class Program_weight_tensor_parameter_384: class Program_weight_tensor_parameter_385: name = "parameter_385" + original_name = "batch_norm2d_12.w_1" shape = [144] dtype = "float32" min_val = float("-0.00357625") @@ -4238,6 +4624,7 @@ class Program_weight_tensor_parameter_385: class Program_weight_tensor_parameter_386: name = "parameter_386" + original_name = "conv2d_12.w_0" shape = [144, 48, 1, 1] dtype = "float32" min_val = float("-0.97904") @@ -4249,6 +4636,7 @@ class Program_weight_tensor_parameter_386: class Program_weight_tensor_parameter_387: name = "parameter_387" + original_name = "batch_norm2d_11.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -4258,6 +4646,7 @@ class Program_weight_tensor_parameter_387: class Program_weight_tensor_parameter_388: name = "parameter_388" + original_name = "batch_norm2d_11.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -4267,6 +4656,7 @@ class Program_weight_tensor_parameter_388: class Program_weight_tensor_parameter_389: name = "parameter_389" + original_name = "batch_norm2d_11.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -4276,6 +4666,7 @@ class Program_weight_tensor_parameter_389: class Program_weight_tensor_parameter_390: name = "parameter_390" + original_name = "batch_norm2d_11.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -4285,6 +4676,7 @@ class Program_weight_tensor_parameter_390: class Program_weight_tensor_parameter_391: name = "parameter_391" + original_name = "conv2d_11.w_0" shape = [48, 72, 1, 1] dtype = "float32" min_val = float("-1.05076") @@ -4296,6 +4688,7 @@ class Program_weight_tensor_parameter_391: class Program_weight_tensor_parameter_392: name = "parameter_392" + original_name = "batch_norm2d_10.b_0" shape = [72] dtype = "float32" min_val = float("-1.67977") @@ -4307,6 +4700,7 @@ class Program_weight_tensor_parameter_392: class Program_weight_tensor_parameter_393: name = "parameter_393" + original_name = "batch_norm2d_10.w_0" shape = [72] dtype = "float32" min_val = float("1.58305") @@ -4318,6 +4712,7 @@ class Program_weight_tensor_parameter_393: class Program_weight_tensor_parameter_394: name = "parameter_394" + original_name = "batch_norm2d_10.w_2" shape = [72] dtype = "float32" min_val = float("0.0376316") @@ -4329,6 +4724,7 @@ class Program_weight_tensor_parameter_394: class Program_weight_tensor_parameter_395: name = "parameter_395" + original_name = "batch_norm2d_10.w_1" shape = [72] dtype = "float32" min_val = float("-6.72116") @@ -4340,6 +4736,7 @@ class Program_weight_tensor_parameter_395: class Program_weight_tensor_parameter_396: name = "parameter_396" + original_name = "conv2d_10.w_0" shape = [72, 1, 5, 5] dtype = "float32" min_val = float("-0.547218") @@ -4351,6 +4748,7 @@ class Program_weight_tensor_parameter_396: class Program_weight_tensor_parameter_397: name = "parameter_397" + original_name = "batch_norm2d_9.b_0" shape = [72] dtype = "float32" min_val = float("-6.08463") @@ -4362,6 +4760,7 @@ class Program_weight_tensor_parameter_397: class Program_weight_tensor_parameter_398: name = "parameter_398" + original_name = "batch_norm2d_9.w_0" shape = [72] dtype = "float32" min_val = float("1.23275") @@ -4373,6 +4772,7 @@ class Program_weight_tensor_parameter_398: class Program_weight_tensor_parameter_399: name = "parameter_399" + original_name = "batch_norm2d_9.w_2" shape = [72] dtype = "float32" min_val = float("25.3683") @@ -4384,6 +4784,7 @@ class Program_weight_tensor_parameter_399: class Program_weight_tensor_parameter_400: name = "parameter_400" + original_name = "batch_norm2d_9.w_1" shape = [72] dtype = "float32" min_val = float("-0.0182682") @@ -4395,6 +4796,7 @@ class Program_weight_tensor_parameter_400: class Program_weight_tensor_parameter_401: name = "parameter_401" + original_name = "conv2d_9.w_0" shape = [72, 24, 1, 1] dtype = "float32" min_val = float("-1.67165") @@ -4406,6 +4808,7 @@ class Program_weight_tensor_parameter_401: class Program_weight_tensor_parameter_402: name = "parameter_402" + original_name = "batch_norm2d_8.b_0" shape = [24] dtype = "float32" min_val = float("0") @@ -4415,6 +4818,7 @@ class Program_weight_tensor_parameter_402: class Program_weight_tensor_parameter_403: name = "parameter_403" + original_name = "batch_norm2d_8.w_0" shape = [24] dtype = "float32" min_val = float("0") @@ -4424,6 +4828,7 @@ class Program_weight_tensor_parameter_403: class Program_weight_tensor_parameter_404: name = "parameter_404" + original_name = "batch_norm2d_8.w_2" shape = [24] dtype = "float32" min_val = float("0") @@ -4433,6 +4838,7 @@ class Program_weight_tensor_parameter_404: class Program_weight_tensor_parameter_405: name = "parameter_405" + original_name = "batch_norm2d_8.w_1" shape = [24] dtype = "float32" min_val = float("0") @@ -4442,6 +4848,7 @@ class Program_weight_tensor_parameter_405: class Program_weight_tensor_parameter_406: name = "parameter_406" + original_name = "conv2d_8.w_0" shape = [24, 72, 1, 1] dtype = "float32" min_val = float("-1.2266") @@ -4453,6 +4860,7 @@ class Program_weight_tensor_parameter_406: class Program_weight_tensor_parameter_407: name = "parameter_407" + original_name = "batch_norm2d_7.b_0" shape = [72] dtype = "float32" min_val = float("-7.6693") @@ -4464,6 +4872,7 @@ class Program_weight_tensor_parameter_407: class Program_weight_tensor_parameter_408: name = "parameter_408" + original_name = "batch_norm2d_7.w_0" shape = [72] dtype = "float32" min_val = float("0.92717") @@ -4475,6 +4884,7 @@ class Program_weight_tensor_parameter_408: class Program_weight_tensor_parameter_409: name = "parameter_409" + original_name = "batch_norm2d_7.w_2" shape = [72] dtype = "float32" min_val = float("5.60519e-45") @@ -4486,6 +4896,7 @@ class Program_weight_tensor_parameter_409: class Program_weight_tensor_parameter_410: name = "parameter_410" + original_name = "batch_norm2d_7.w_1" shape = [72] dtype = "float32" min_val = float("-2.59014") @@ -4497,6 +4908,7 @@ class Program_weight_tensor_parameter_410: class Program_weight_tensor_parameter_411: name = "parameter_411" + original_name = "conv2d_7.w_0" shape = [72, 1, 3, 3] dtype = "float32" min_val = float("-1.32627") @@ -4508,6 +4920,7 @@ class Program_weight_tensor_parameter_411: class Program_weight_tensor_parameter_412: name = "parameter_412" + original_name = "batch_norm2d_6.b_0" shape = [72] dtype = "float32" min_val = float("-4.85285") @@ -4519,6 +4932,7 @@ class Program_weight_tensor_parameter_412: class Program_weight_tensor_parameter_413: name = "parameter_413" + original_name = "batch_norm2d_6.w_0" shape = [72] dtype = "float32" min_val = float("0.393199") @@ -4530,6 +4944,7 @@ class Program_weight_tensor_parameter_413: class Program_weight_tensor_parameter_414: name = "parameter_414" + original_name = "batch_norm2d_6.w_2" shape = [72] dtype = "float32" min_val = float("5.60519e-45") @@ -4541,6 +4956,7 @@ class Program_weight_tensor_parameter_414: class Program_weight_tensor_parameter_415: name = "parameter_415" + original_name = "batch_norm2d_6.w_1" shape = [72] dtype = "float32" min_val = float("-0.00934683") @@ -4552,6 +4968,7 @@ class Program_weight_tensor_parameter_415: class Program_weight_tensor_parameter_416: name = "parameter_416" + original_name = "conv2d_6.w_0" shape = [72, 24, 1, 1] dtype = "float32" min_val = float("-1.52299") @@ -4563,6 +4980,7 @@ class Program_weight_tensor_parameter_416: class Program_weight_tensor_parameter_417: name = "parameter_417" + original_name = "batch_norm2d_5.b_0" shape = [24] dtype = "float32" min_val = float("0") @@ -4572,6 +4990,7 @@ class Program_weight_tensor_parameter_417: class Program_weight_tensor_parameter_418: name = "parameter_418" + original_name = "batch_norm2d_5.w_0" shape = [24] dtype = "float32" min_val = float("0") @@ -4581,6 +5000,7 @@ class Program_weight_tensor_parameter_418: class Program_weight_tensor_parameter_419: name = "parameter_419" + original_name = "batch_norm2d_5.w_2" shape = [24] dtype = "float32" min_val = float("0") @@ -4590,6 +5010,7 @@ class Program_weight_tensor_parameter_419: class Program_weight_tensor_parameter_420: name = "parameter_420" + original_name = "batch_norm2d_5.w_1" shape = [24] dtype = "float32" min_val = float("0") @@ -4599,6 +5020,7 @@ class Program_weight_tensor_parameter_420: class Program_weight_tensor_parameter_421: name = "parameter_421" + original_name = "conv2d_5.w_0" shape = [24, 64, 1, 1] dtype = "float32" min_val = float("-1.26639") @@ -4610,6 +5032,7 @@ class Program_weight_tensor_parameter_421: class Program_weight_tensor_parameter_422: name = "parameter_422" + original_name = "batch_norm2d_4.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -4619,6 +5042,7 @@ class Program_weight_tensor_parameter_422: class Program_weight_tensor_parameter_423: name = "parameter_423" + original_name = "batch_norm2d_4.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -4628,6 +5052,7 @@ class Program_weight_tensor_parameter_423: class Program_weight_tensor_parameter_424: name = "parameter_424" + original_name = "batch_norm2d_4.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -4637,6 +5062,7 @@ class Program_weight_tensor_parameter_424: class Program_weight_tensor_parameter_425: name = "parameter_425" + original_name = "batch_norm2d_4.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -4646,6 +5072,7 @@ class Program_weight_tensor_parameter_425: class Program_weight_tensor_parameter_426: name = "parameter_426" + original_name = "conv2d_4.w_0" shape = [64, 1, 3, 3] dtype = "float32" min_val = float("-1.26075") @@ -4657,6 +5084,7 @@ class Program_weight_tensor_parameter_426: class Program_weight_tensor_parameter_427: name = "parameter_427" + original_name = "batch_norm2d_3.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -4666,6 +5094,7 @@ class Program_weight_tensor_parameter_427: class Program_weight_tensor_parameter_428: name = "parameter_428" + original_name = "batch_norm2d_3.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -4675,6 +5104,7 @@ class Program_weight_tensor_parameter_428: class Program_weight_tensor_parameter_429: name = "parameter_429" + original_name = "batch_norm2d_3.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -4684,6 +5114,7 @@ class Program_weight_tensor_parameter_429: class Program_weight_tensor_parameter_430: name = "parameter_430" + original_name = "batch_norm2d_3.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -4693,6 +5124,7 @@ class Program_weight_tensor_parameter_430: class Program_weight_tensor_parameter_431: name = "parameter_431" + original_name = "conv2d_3.w_0" shape = [64, 16, 1, 1] dtype = "float32" min_val = float("-1.7517") @@ -4704,6 +5136,7 @@ class Program_weight_tensor_parameter_431: class Program_weight_tensor_parameter_432: name = "parameter_432" + original_name = "batch_norm2d_2.b_0" shape = [16] dtype = "float32" min_val = float("0") @@ -4713,6 +5146,7 @@ class Program_weight_tensor_parameter_432: class Program_weight_tensor_parameter_433: name = "parameter_433" + original_name = "batch_norm2d_2.w_0" shape = [16] dtype = "float32" min_val = float("0") @@ -4722,6 +5156,7 @@ class Program_weight_tensor_parameter_433: class Program_weight_tensor_parameter_434: name = "parameter_434" + original_name = "batch_norm2d_2.w_2" shape = [16] dtype = "float32" min_val = float("0") @@ -4731,6 +5166,7 @@ class Program_weight_tensor_parameter_434: class Program_weight_tensor_parameter_435: name = "parameter_435" + original_name = "batch_norm2d_2.w_1" shape = [16] dtype = "float32" min_val = float("0") @@ -4740,6 +5176,7 @@ class Program_weight_tensor_parameter_435: class Program_weight_tensor_parameter_436: name = "parameter_436" + original_name = "conv2d_2.w_0" shape = [16, 16, 1, 1] dtype = "float32" min_val = float("-1.53536") @@ -4751,6 +5188,7 @@ class Program_weight_tensor_parameter_436: class Program_weight_tensor_parameter_437: name = "parameter_437" + original_name = "batch_norm2d_1.b_0" shape = [16] dtype = "float32" min_val = float("0") @@ -4760,6 +5198,7 @@ class Program_weight_tensor_parameter_437: class Program_weight_tensor_parameter_438: name = "parameter_438" + original_name = "batch_norm2d_1.w_0" shape = [16] dtype = "float32" min_val = float("0") @@ -4769,6 +5208,7 @@ class Program_weight_tensor_parameter_438: class Program_weight_tensor_parameter_439: name = "parameter_439" + original_name = "batch_norm2d_1.w_2" shape = [16] dtype = "float32" min_val = float("0") @@ -4778,6 +5218,7 @@ class Program_weight_tensor_parameter_439: class Program_weight_tensor_parameter_440: name = "parameter_440" + original_name = "batch_norm2d_1.w_1" shape = [16] dtype = "float32" min_val = float("0") @@ -4787,6 +5228,7 @@ class Program_weight_tensor_parameter_440: class Program_weight_tensor_parameter_441: name = "parameter_441" + original_name = "conv2d_1.w_0" shape = [16, 1, 3, 3] dtype = "float32" min_val = float("-1.44212") @@ -4798,6 +5240,7 @@ class Program_weight_tensor_parameter_441: class Program_weight_tensor_parameter_442: name = "parameter_442" + original_name = "batch_norm2d_0.b_0" shape = [16] dtype = "float32" min_val = float("0") @@ -4807,6 +5250,7 @@ class Program_weight_tensor_parameter_442: class Program_weight_tensor_parameter_443: name = "parameter_443" + original_name = "batch_norm2d_0.w_0" shape = [16] dtype = "float32" min_val = float("0") @@ -4816,6 +5260,7 @@ class Program_weight_tensor_parameter_443: class Program_weight_tensor_parameter_444: name = "parameter_444" + original_name = "batch_norm2d_0.w_2" shape = [16] dtype = "float32" min_val = float("0") @@ -4825,6 +5270,7 @@ class Program_weight_tensor_parameter_444: class Program_weight_tensor_parameter_445: name = "parameter_445" + original_name = "batch_norm2d_0.w_1" shape = [16] dtype = "float32" min_val = float("0") @@ -4834,6 +5280,7 @@ class Program_weight_tensor_parameter_445: class Program_weight_tensor_parameter_446: name = "parameter_446" + original_name = "conv2d_0.w_0" shape = [16, 3, 3, 3] dtype = "float32" min_val = float("-2.228") diff --git a/paddle_samples/PaddleX/SeaFormer_tiny/subgraph_1/input_meta.py b/paddle_samples/PaddleX/SeaFormer_tiny/subgraph_1/input_meta.py index 54a0eabfe..119498570 100644 --- a/paddle_samples/PaddleX/SeaFormer_tiny/subgraph_1/input_meta.py +++ b/paddle_samples/PaddleX/SeaFormer_tiny/subgraph_1/input_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_data_0: name = "data_0" + original_name = "param_16" shape = [1, 64, 16] dtype = "float32" min_val = float("-0.232804") @@ -11,6 +12,7 @@ class Program_weight_tensor_data_0: class Program_weight_tensor_data_1: name = "data_1" + original_name = "param_17" shape = [1, 64, 16] dtype = "float32" min_val = float("-0.275247") @@ -22,6 +24,7 @@ class Program_weight_tensor_data_1: class Program_weight_tensor_data_2: name = "data_2" + original_name = "param_18" shape = [1, 64, 16] dtype = "float32" min_val = float("-0.231688") @@ -33,6 +36,7 @@ class Program_weight_tensor_data_2: class Program_weight_tensor_data_3: name = "data_3" + original_name = "param_19" shape = [1, 64, 16] dtype = "float32" min_val = float("-0.221527") @@ -44,6 +48,7 @@ class Program_weight_tensor_data_3: class Program_weight_tensor_data_4: name = "data_4" + original_name = "param_20" shape = [1, 64, 16] dtype = "float32" min_val = float("-0.236935") @@ -55,6 +60,7 @@ class Program_weight_tensor_data_4: class Program_weight_tensor_data_5: name = "data_5" + original_name = "param_21" shape = [1, 64, 16] dtype = "float32" min_val = float("-0.251175") @@ -66,6 +72,7 @@ class Program_weight_tensor_data_5: class Program_weight_tensor_data_6: name = "data_6" + original_name = "param_22" shape = [1, 64, 16] dtype = "float32" min_val = float("-0.147883") @@ -77,6 +84,7 @@ class Program_weight_tensor_data_6: class Program_weight_tensor_data_7: name = "data_7" + original_name = "param_23" shape = [1, 64, 16] dtype = "float32" min_val = float("-0.290828") @@ -88,6 +96,7 @@ class Program_weight_tensor_data_7: class Program_weight_tensor_data_8: name = "data_8" + original_name = "param_24" shape = [1, 96, 16] dtype = "float32" min_val = float("-0.228242") @@ -99,6 +108,7 @@ class Program_weight_tensor_data_8: class Program_weight_tensor_data_9: name = "data_9" + original_name = "param_25" shape = [1, 96, 16] dtype = "float32" min_val = float("-0.263307") @@ -110,6 +120,7 @@ class Program_weight_tensor_data_9: class Program_weight_tensor_data_10: name = "data_10" + original_name = "param_26" shape = [1, 96, 16] dtype = "float32" min_val = float("-0.0823531") @@ -121,6 +132,7 @@ class Program_weight_tensor_data_10: class Program_weight_tensor_data_11: name = "data_11" + original_name = "param_27" shape = [1, 96, 16] dtype = "float32" min_val = float("-0.0820232") @@ -132,6 +144,7 @@ class Program_weight_tensor_data_11: class Program_weight_tensor_data_12: name = "data_12" + original_name = "param_28" shape = [1, 96, 16] dtype = "float32" min_val = float("-0.17863") @@ -143,6 +156,7 @@ class Program_weight_tensor_data_12: class Program_weight_tensor_data_13: name = "data_13" + original_name = "param_29" shape = [1, 96, 16] dtype = "float32" min_val = float("-0.0831355") @@ -154,6 +168,7 @@ class Program_weight_tensor_data_13: class Program_weight_tensor_data_14: name = "data_14" + original_name = "param_30" shape = [1, 96, 16] dtype = "float32" min_val = float("-0.0695174") @@ -165,6 +180,7 @@ class Program_weight_tensor_data_14: class Program_weight_tensor_data_15: name = "data_15" + original_name = "param_31" shape = [1, 96, 16] dtype = "float32" min_val = float("-0.0380223") @@ -176,6 +192,7 @@ class Program_weight_tensor_data_15: class Program_weight_tensor_data_16: name = "data_16" + original_name = "var_393" shape = [2, 3, 512, 512] dtype = "float32" min_val = float("-1.0") diff --git a/paddle_samples/PaddleX/SeaFormer_tiny/subgraph_1/weight_meta.py b/paddle_samples/PaddleX/SeaFormer_tiny/subgraph_1/weight_meta.py index 6d78c3804..61e60330b 100644 --- a/paddle_samples/PaddleX/SeaFormer_tiny/subgraph_1/weight_meta.py +++ b/paddle_samples/PaddleX/SeaFormer_tiny/subgraph_1/weight_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_parameter_0: name = "parameter_0" + original_name = "batch_norm2d_66.b_0" shape = [160] dtype = "float32" min_val = float("-0.225851") @@ -11,6 +12,7 @@ class Program_weight_tensor_parameter_0: class Program_weight_tensor_parameter_1: name = "parameter_1" + original_name = "batch_norm2d_66.w_0" shape = [160] dtype = "float32" min_val = float("1.07996") @@ -22,6 +24,7 @@ class Program_weight_tensor_parameter_1: class Program_weight_tensor_parameter_2: name = "parameter_2" + original_name = "batch_norm2d_66.w_2" shape = [160] dtype = "float32" min_val = float("0.0197816") @@ -33,6 +36,7 @@ class Program_weight_tensor_parameter_2: class Program_weight_tensor_parameter_3: name = "parameter_3" + original_name = "batch_norm2d_66.w_1" shape = [160] dtype = "float32" min_val = float("-0.224814") @@ -44,6 +48,7 @@ class Program_weight_tensor_parameter_3: class Program_weight_tensor_parameter_4: name = "parameter_4" + original_name = "conv2d_70.w_0" shape = [160, 640, 1, 1] dtype = "float32" min_val = float("-0.249843") @@ -55,6 +60,7 @@ class Program_weight_tensor_parameter_4: class Program_weight_tensor_parameter_5: name = "parameter_5" + original_name = "conv2d_69.b_0" shape = [640] dtype = "float32" min_val = float("-1.72581") @@ -66,6 +72,7 @@ class Program_weight_tensor_parameter_5: class Program_weight_tensor_parameter_6: name = "parameter_6" + original_name = "conv2d_69.w_0" shape = [640, 1, 3, 3] dtype = "float32" min_val = float("-0.509448") @@ -77,6 +84,7 @@ class Program_weight_tensor_parameter_6: class Program_weight_tensor_parameter_7: name = "parameter_7" + original_name = "batch_norm2d_65.b_0" shape = [640] dtype = "float32" min_val = float("-5.87959") @@ -88,6 +96,7 @@ class Program_weight_tensor_parameter_7: class Program_weight_tensor_parameter_8: name = "parameter_8" + original_name = "batch_norm2d_65.w_0" shape = [640] dtype = "float32" min_val = float("-0.97277") @@ -99,6 +108,7 @@ class Program_weight_tensor_parameter_8: class Program_weight_tensor_parameter_9: name = "parameter_9" + original_name = "batch_norm2d_65.w_2" shape = [640] dtype = "float32" min_val = float("1.32389") @@ -110,6 +120,7 @@ class Program_weight_tensor_parameter_9: class Program_weight_tensor_parameter_10: name = "parameter_10" + original_name = "batch_norm2d_65.w_1" shape = [640] dtype = "float32" min_val = float("-0.332256") @@ -121,6 +132,7 @@ class Program_weight_tensor_parameter_10: class Program_weight_tensor_parameter_11: name = "parameter_11" + original_name = "conv2d_68.w_0" shape = [640, 160, 1, 1] dtype = "float32" min_val = float("-0.375757") @@ -132,6 +144,7 @@ class Program_weight_tensor_parameter_11: class Program_weight_tensor_parameter_12: name = "parameter_12" + original_name = "batch_norm2d_60.b_0" shape = [160] dtype = "float32" min_val = float("-2.29156") @@ -143,6 +156,7 @@ class Program_weight_tensor_parameter_12: class Program_weight_tensor_parameter_13: name = "parameter_13" + original_name = "batch_norm2d_60.w_0" shape = [160] dtype = "float32" min_val = float("-2.1294") @@ -154,6 +168,7 @@ class Program_weight_tensor_parameter_13: class Program_weight_tensor_parameter_14: name = "parameter_14" + original_name = "batch_norm2d_60.w_2" shape = [160] dtype = "float32" min_val = float("0.39775") @@ -165,6 +180,7 @@ class Program_weight_tensor_parameter_14: class Program_weight_tensor_parameter_15: name = "parameter_15" + original_name = "batch_norm2d_60.w_1" shape = [160] dtype = "float32" min_val = float("-1.37098") @@ -176,6 +192,7 @@ class Program_weight_tensor_parameter_15: class Program_weight_tensor_parameter_16: name = "parameter_16" + original_name = "conv2d_63.w_0" shape = [160, 192, 1, 1] dtype = "float32" min_val = float("-0.223415") @@ -187,6 +204,7 @@ class Program_weight_tensor_parameter_16: class Program_weight_tensor_parameter_17: name = "parameter_17" + original_name = "batch_norm2d_62.b_0" shape = [192] dtype = "float32" min_val = float("-1.5326") @@ -198,6 +216,7 @@ class Program_weight_tensor_parameter_17: class Program_weight_tensor_parameter_18: name = "parameter_18" + original_name = "batch_norm2d_62.w_0" shape = [192] dtype = "float32" min_val = float("-2.51238") @@ -209,6 +228,7 @@ class Program_weight_tensor_parameter_18: class Program_weight_tensor_parameter_19: name = "parameter_19" + original_name = "batch_norm2d_62.w_2" shape = [192] dtype = "float32" min_val = float("0.00192051") @@ -220,6 +240,7 @@ class Program_weight_tensor_parameter_19: class Program_weight_tensor_parameter_20: name = "parameter_20" + original_name = "batch_norm2d_62.w_1" shape = [192] dtype = "float32" min_val = float("-0.319825") @@ -231,6 +252,7 @@ class Program_weight_tensor_parameter_20: class Program_weight_tensor_parameter_21: name = "parameter_21" + original_name = "conv2d_65.w_0" shape = [192, 192, 1, 1] dtype = "float32" min_val = float("-0.165221") @@ -242,6 +264,7 @@ class Program_weight_tensor_parameter_21: class Program_weight_tensor_parameter_22: name = "parameter_22" + original_name = "batch_norm2d_61.b_0" shape = [192] dtype = "float32" min_val = float("-1.53264") @@ -253,6 +276,7 @@ class Program_weight_tensor_parameter_22: class Program_weight_tensor_parameter_23: name = "parameter_23" + original_name = "batch_norm2d_61.w_0" shape = [192] dtype = "float32" min_val = float("-2.22181") @@ -264,6 +288,7 @@ class Program_weight_tensor_parameter_23: class Program_weight_tensor_parameter_24: name = "parameter_24" + original_name = "batch_norm2d_61.w_2" shape = [192] dtype = "float32" min_val = float("0.00259331") @@ -275,6 +300,7 @@ class Program_weight_tensor_parameter_24: class Program_weight_tensor_parameter_25: name = "parameter_25" + original_name = "batch_norm2d_61.w_1" shape = [192] dtype = "float32" min_val = float("-0.30262") @@ -286,6 +312,7 @@ class Program_weight_tensor_parameter_25: class Program_weight_tensor_parameter_26: name = "parameter_26" + original_name = "conv2d_64.w_0" shape = [192, 192, 1, 1] dtype = "float32" min_val = float("-0.257147") @@ -297,6 +324,7 @@ class Program_weight_tensor_parameter_26: class Program_weight_tensor_parameter_27: name = "parameter_27" + original_name = "batch_norm2d_64.b_0" shape = [160] dtype = "float32" min_val = float("-3.1358") @@ -308,6 +336,7 @@ class Program_weight_tensor_parameter_27: class Program_weight_tensor_parameter_28: name = "parameter_28" + original_name = "batch_norm2d_64.w_0" shape = [160] dtype = "float32" min_val = float("1.98039") @@ -319,6 +348,7 @@ class Program_weight_tensor_parameter_28: class Program_weight_tensor_parameter_29: name = "parameter_29" + original_name = "batch_norm2d_64.w_2" shape = [160] dtype = "float32" min_val = float("0.0427999") @@ -330,6 +360,7 @@ class Program_weight_tensor_parameter_29: class Program_weight_tensor_parameter_30: name = "parameter_30" + original_name = "batch_norm2d_64.w_1" shape = [160] dtype = "float32" min_val = float("-0.315733") @@ -341,6 +372,7 @@ class Program_weight_tensor_parameter_30: class Program_weight_tensor_parameter_31: name = "parameter_31" + original_name = "conv2d_67.w_0" shape = [160, 384, 1, 1] dtype = "float32" min_val = float("-0.296159") @@ -352,6 +384,7 @@ class Program_weight_tensor_parameter_31: class Program_weight_tensor_parameter_32: name = "parameter_32" + original_name = "batch_norm2d_63.b_0" shape = [384] dtype = "float32" min_val = float("-4.94135") @@ -363,6 +396,7 @@ class Program_weight_tensor_parameter_32: class Program_weight_tensor_parameter_33: name = "parameter_33" + original_name = "batch_norm2d_63.w_0" shape = [384] dtype = "float32" min_val = float("0.34756") @@ -374,6 +408,7 @@ class Program_weight_tensor_parameter_33: class Program_weight_tensor_parameter_34: name = "parameter_34" + original_name = "batch_norm2d_63.w_2" shape = [384] dtype = "float32" min_val = float("0.000307026") @@ -385,6 +420,7 @@ class Program_weight_tensor_parameter_34: class Program_weight_tensor_parameter_35: name = "parameter_35" + original_name = "batch_norm2d_63.w_1" shape = [384] dtype = "float32" min_val = float("-1.18213") @@ -396,6 +432,7 @@ class Program_weight_tensor_parameter_35: class Program_weight_tensor_parameter_36: name = "parameter_36" + original_name = "conv2d_66.w_0" shape = [384, 1, 3, 3] dtype = "float32" min_val = float("-0.364734") @@ -407,6 +444,7 @@ class Program_weight_tensor_parameter_36: class Program_weight_tensor_parameter_37: name = "parameter_37" + original_name = "batch_norm2d_59.b_0" shape = [192] dtype = "float32" min_val = float("-3.20071") @@ -418,6 +456,7 @@ class Program_weight_tensor_parameter_37: class Program_weight_tensor_parameter_38: name = "parameter_38" + original_name = "batch_norm2d_59.w_0" shape = [192] dtype = "float32" min_val = float("0.31292") @@ -429,6 +468,7 @@ class Program_weight_tensor_parameter_38: class Program_weight_tensor_parameter_39: name = "parameter_39" + original_name = "batch_norm2d_59.w_2" shape = [192] dtype = "float32" min_val = float("3.59878") @@ -440,6 +480,7 @@ class Program_weight_tensor_parameter_39: class Program_weight_tensor_parameter_40: name = "parameter_40" + original_name = "batch_norm2d_59.w_1" shape = [192] dtype = "float32" min_val = float("-0.781005") @@ -451,6 +492,7 @@ class Program_weight_tensor_parameter_40: class Program_weight_tensor_parameter_41: name = "parameter_41" + original_name = "conv2d_62.w_0" shape = [192, 160, 1, 1] dtype = "float32" min_val = float("-0.513961") @@ -462,6 +504,7 @@ class Program_weight_tensor_parameter_41: class Program_weight_tensor_parameter_42: name = "parameter_42" + original_name = "batch_norm2d_58.b_0" shape = [96] dtype = "float32" min_val = float("-1.17739") @@ -473,6 +516,7 @@ class Program_weight_tensor_parameter_42: class Program_weight_tensor_parameter_43: name = "parameter_43" + original_name = "batch_norm2d_58.w_0" shape = [96] dtype = "float32" min_val = float("-0.0816752") @@ -484,6 +528,7 @@ class Program_weight_tensor_parameter_43: class Program_weight_tensor_parameter_44: name = "parameter_44" + original_name = "batch_norm2d_58.w_2" shape = [96] dtype = "float32" min_val = float("2.72273") @@ -495,6 +540,7 @@ class Program_weight_tensor_parameter_44: class Program_weight_tensor_parameter_45: name = "parameter_45" + original_name = "batch_norm2d_58.w_1" shape = [96] dtype = "float32" min_val = float("-0.457936") @@ -506,6 +552,7 @@ class Program_weight_tensor_parameter_45: class Program_weight_tensor_parameter_46: name = "parameter_46" + original_name = "conv2d_61.w_0" shape = [96, 160, 1, 1] dtype = "float32" min_val = float("-0.260112") @@ -517,6 +564,7 @@ class Program_weight_tensor_parameter_46: class Program_weight_tensor_parameter_47: name = "parameter_47" + original_name = "batch_norm2d_57.b_0" shape = [96] dtype = "float32" min_val = float("-1.198") @@ -528,6 +576,7 @@ class Program_weight_tensor_parameter_47: class Program_weight_tensor_parameter_48: name = "parameter_48" + original_name = "batch_norm2d_57.w_0" shape = [96] dtype = "float32" min_val = float("0.0601328") @@ -539,6 +588,7 @@ class Program_weight_tensor_parameter_48: class Program_weight_tensor_parameter_49: name = "parameter_49" + original_name = "batch_norm2d_57.w_2" shape = [96] dtype = "float32" min_val = float("2.67173") @@ -550,6 +600,7 @@ class Program_weight_tensor_parameter_49: class Program_weight_tensor_parameter_50: name = "parameter_50" + original_name = "batch_norm2d_57.w_1" shape = [96] dtype = "float32" min_val = float("-0.351198") @@ -561,6 +612,7 @@ class Program_weight_tensor_parameter_50: class Program_weight_tensor_parameter_51: name = "parameter_51" + original_name = "conv2d_60.w_0" shape = [96, 160, 1, 1] dtype = "float32" min_val = float("-0.261431") @@ -572,6 +624,7 @@ class Program_weight_tensor_parameter_51: class Program_weight_tensor_parameter_52: name = "parameter_52" + original_name = "batch_norm2d_56.b_0" shape = [160] dtype = "float32" min_val = float("-0.869375") @@ -583,6 +636,7 @@ class Program_weight_tensor_parameter_52: class Program_weight_tensor_parameter_53: name = "parameter_53" + original_name = "batch_norm2d_56.w_0" shape = [160] dtype = "float32" min_val = float("1.29965") @@ -594,6 +648,7 @@ class Program_weight_tensor_parameter_53: class Program_weight_tensor_parameter_54: name = "parameter_54" + original_name = "batch_norm2d_56.w_2" shape = [160] dtype = "float32" min_val = float("0.0374577") @@ -605,6 +660,7 @@ class Program_weight_tensor_parameter_54: class Program_weight_tensor_parameter_55: name = "parameter_55" + original_name = "batch_norm2d_56.w_1" shape = [160] dtype = "float32" min_val = float("-0.137166") @@ -616,6 +672,7 @@ class Program_weight_tensor_parameter_55: class Program_weight_tensor_parameter_56: name = "parameter_56" + original_name = "conv2d_59.w_0" shape = [160, 640, 1, 1] dtype = "float32" min_val = float("-0.3027") @@ -627,6 +684,7 @@ class Program_weight_tensor_parameter_56: class Program_weight_tensor_parameter_57: name = "parameter_57" + original_name = "conv2d_58.b_0" shape = [640] dtype = "float32" min_val = float("-2.15076") @@ -638,6 +696,7 @@ class Program_weight_tensor_parameter_57: class Program_weight_tensor_parameter_58: name = "parameter_58" + original_name = "conv2d_58.w_0" shape = [640, 1, 3, 3] dtype = "float32" min_val = float("-0.577908") @@ -649,6 +708,7 @@ class Program_weight_tensor_parameter_58: class Program_weight_tensor_parameter_59: name = "parameter_59" + original_name = "batch_norm2d_55.b_0" shape = [640] dtype = "float32" min_val = float("-5.44385") @@ -660,6 +720,7 @@ class Program_weight_tensor_parameter_59: class Program_weight_tensor_parameter_60: name = "parameter_60" + original_name = "batch_norm2d_55.w_0" shape = [640] dtype = "float32" min_val = float("0.923652") @@ -671,6 +732,7 @@ class Program_weight_tensor_parameter_60: class Program_weight_tensor_parameter_61: name = "parameter_61" + original_name = "batch_norm2d_55.w_2" shape = [640] dtype = "float32" min_val = float("1.84506") @@ -682,6 +744,7 @@ class Program_weight_tensor_parameter_61: class Program_weight_tensor_parameter_62: name = "parameter_62" + original_name = "batch_norm2d_55.w_1" shape = [640] dtype = "float32" min_val = float("-1.084") @@ -693,6 +756,7 @@ class Program_weight_tensor_parameter_62: class Program_weight_tensor_parameter_63: name = "parameter_63" + original_name = "conv2d_57.w_0" shape = [640, 160, 1, 1] dtype = "float32" min_val = float("-0.347156") @@ -704,6 +768,7 @@ class Program_weight_tensor_parameter_63: class Program_weight_tensor_parameter_64: name = "parameter_64" + original_name = "batch_norm2d_50.b_0" shape = [160] dtype = "float32" min_val = float("-3.16468") @@ -715,6 +780,7 @@ class Program_weight_tensor_parameter_64: class Program_weight_tensor_parameter_65: name = "parameter_65" + original_name = "batch_norm2d_50.w_0" shape = [160] dtype = "float32" min_val = float("-3.2556") @@ -726,6 +792,7 @@ class Program_weight_tensor_parameter_65: class Program_weight_tensor_parameter_66: name = "parameter_66" + original_name = "batch_norm2d_50.w_2" shape = [160] dtype = "float32" min_val = float("0.423531") @@ -737,6 +804,7 @@ class Program_weight_tensor_parameter_66: class Program_weight_tensor_parameter_67: name = "parameter_67" + original_name = "batch_norm2d_50.w_1" shape = [160] dtype = "float32" min_val = float("-2.0289") @@ -748,6 +816,7 @@ class Program_weight_tensor_parameter_67: class Program_weight_tensor_parameter_68: name = "parameter_68" + original_name = "conv2d_52.w_0" shape = [160, 192, 1, 1] dtype = "float32" min_val = float("-0.371344") @@ -759,6 +828,7 @@ class Program_weight_tensor_parameter_68: class Program_weight_tensor_parameter_69: name = "parameter_69" + original_name = "batch_norm2d_52.b_0" shape = [192] dtype = "float32" min_val = float("-2.05746") @@ -770,6 +840,7 @@ class Program_weight_tensor_parameter_69: class Program_weight_tensor_parameter_70: name = "parameter_70" + original_name = "batch_norm2d_52.w_0" shape = [192] dtype = "float32" min_val = float("-4.10247") @@ -781,6 +852,7 @@ class Program_weight_tensor_parameter_70: class Program_weight_tensor_parameter_71: name = "parameter_71" + original_name = "batch_norm2d_52.w_2" shape = [192] dtype = "float32" min_val = float("0.0188222") @@ -792,6 +864,7 @@ class Program_weight_tensor_parameter_71: class Program_weight_tensor_parameter_72: name = "parameter_72" + original_name = "batch_norm2d_52.w_1" shape = [192] dtype = "float32" min_val = float("-0.861745") @@ -803,6 +876,7 @@ class Program_weight_tensor_parameter_72: class Program_weight_tensor_parameter_73: name = "parameter_73" + original_name = "conv2d_54.w_0" shape = [192, 192, 1, 1] dtype = "float32" min_val = float("-0.361256") @@ -814,6 +888,7 @@ class Program_weight_tensor_parameter_73: class Program_weight_tensor_parameter_74: name = "parameter_74" + original_name = "batch_norm2d_51.b_0" shape = [192] dtype = "float32" min_val = float("-2.05739") @@ -825,6 +900,7 @@ class Program_weight_tensor_parameter_74: class Program_weight_tensor_parameter_75: name = "parameter_75" + original_name = "batch_norm2d_51.w_0" shape = [192] dtype = "float32" min_val = float("-3.23892") @@ -836,6 +912,7 @@ class Program_weight_tensor_parameter_75: class Program_weight_tensor_parameter_76: name = "parameter_76" + original_name = "batch_norm2d_51.w_2" shape = [192] dtype = "float32" min_val = float("0.0160168") @@ -847,6 +924,7 @@ class Program_weight_tensor_parameter_76: class Program_weight_tensor_parameter_77: name = "parameter_77" + original_name = "batch_norm2d_51.w_1" shape = [192] dtype = "float32" min_val = float("-0.981247") @@ -858,6 +936,7 @@ class Program_weight_tensor_parameter_77: class Program_weight_tensor_parameter_78: name = "parameter_78" + original_name = "conv2d_53.w_0" shape = [192, 192, 1, 1] dtype = "float32" min_val = float("-0.353439") @@ -869,6 +948,7 @@ class Program_weight_tensor_parameter_78: class Program_weight_tensor_parameter_79: name = "parameter_79" + original_name = "batch_norm2d_54.b_0" shape = [160] dtype = "float32" min_val = float("-6.52632") @@ -880,6 +960,7 @@ class Program_weight_tensor_parameter_79: class Program_weight_tensor_parameter_80: name = "parameter_80" + original_name = "batch_norm2d_54.w_0" shape = [160] dtype = "float32" min_val = float("1.4005") @@ -891,6 +972,7 @@ class Program_weight_tensor_parameter_80: class Program_weight_tensor_parameter_81: name = "parameter_81" + original_name = "batch_norm2d_54.w_2" shape = [160] dtype = "float32" min_val = float("0.373405") @@ -902,6 +984,7 @@ class Program_weight_tensor_parameter_81: class Program_weight_tensor_parameter_82: name = "parameter_82" + original_name = "batch_norm2d_54.w_1" shape = [160] dtype = "float32" min_val = float("-1.26314") @@ -913,6 +996,7 @@ class Program_weight_tensor_parameter_82: class Program_weight_tensor_parameter_83: name = "parameter_83" + original_name = "conv2d_56.w_0" shape = [160, 384, 1, 1] dtype = "float32" min_val = float("-0.439908") @@ -924,6 +1008,7 @@ class Program_weight_tensor_parameter_83: class Program_weight_tensor_parameter_84: name = "parameter_84" + original_name = "batch_norm2d_53.b_0" shape = [384] dtype = "float32" min_val = float("-4.40772") @@ -935,6 +1020,7 @@ class Program_weight_tensor_parameter_84: class Program_weight_tensor_parameter_85: name = "parameter_85" + original_name = "batch_norm2d_53.w_0" shape = [384] dtype = "float32" min_val = float("0.665998") @@ -946,6 +1032,7 @@ class Program_weight_tensor_parameter_85: class Program_weight_tensor_parameter_86: name = "parameter_86" + original_name = "batch_norm2d_53.w_2" shape = [384] dtype = "float32" min_val = float("0.000240712") @@ -957,6 +1044,7 @@ class Program_weight_tensor_parameter_86: class Program_weight_tensor_parameter_87: name = "parameter_87" + original_name = "batch_norm2d_53.w_1" shape = [384] dtype = "float32" min_val = float("-1.19388") @@ -968,6 +1056,7 @@ class Program_weight_tensor_parameter_87: class Program_weight_tensor_parameter_88: name = "parameter_88" + original_name = "conv2d_55.w_0" shape = [384, 1, 3, 3] dtype = "float32" min_val = float("-0.481068") @@ -979,6 +1068,7 @@ class Program_weight_tensor_parameter_88: class Program_weight_tensor_parameter_89: name = "parameter_89" + original_name = "batch_norm2d_49.b_0" shape = [192] dtype = "float32" min_val = float("-3.06677") @@ -990,6 +1080,7 @@ class Program_weight_tensor_parameter_89: class Program_weight_tensor_parameter_90: name = "parameter_90" + original_name = "batch_norm2d_49.w_0" shape = [192] dtype = "float32" min_val = float("0.555852") @@ -1001,6 +1092,7 @@ class Program_weight_tensor_parameter_90: class Program_weight_tensor_parameter_91: name = "parameter_91" + original_name = "batch_norm2d_49.w_2" shape = [192] dtype = "float32" min_val = float("2.32359") @@ -1012,6 +1104,7 @@ class Program_weight_tensor_parameter_91: class Program_weight_tensor_parameter_92: name = "parameter_92" + original_name = "batch_norm2d_49.w_1" shape = [192] dtype = "float32" min_val = float("-2.4427") @@ -1023,6 +1116,7 @@ class Program_weight_tensor_parameter_92: class Program_weight_tensor_parameter_93: name = "parameter_93" + original_name = "conv2d_51.w_0" shape = [192, 160, 1, 1] dtype = "float32" min_val = float("-0.504903") @@ -1034,6 +1128,7 @@ class Program_weight_tensor_parameter_93: class Program_weight_tensor_parameter_94: name = "parameter_94" + original_name = "batch_norm2d_48.b_0" shape = [96] dtype = "float32" min_val = float("-1.68501") @@ -1045,6 +1140,7 @@ class Program_weight_tensor_parameter_94: class Program_weight_tensor_parameter_95: name = "parameter_95" + original_name = "batch_norm2d_48.w_0" shape = [96] dtype = "float32" min_val = float("0.0496471") @@ -1056,6 +1152,7 @@ class Program_weight_tensor_parameter_95: class Program_weight_tensor_parameter_96: name = "parameter_96" + original_name = "batch_norm2d_48.w_2" shape = [96] dtype = "float32" min_val = float("1.11938") @@ -1067,6 +1164,7 @@ class Program_weight_tensor_parameter_96: class Program_weight_tensor_parameter_97: name = "parameter_97" + original_name = "batch_norm2d_48.w_1" shape = [96] dtype = "float32" min_val = float("-1.41462") @@ -1078,6 +1176,7 @@ class Program_weight_tensor_parameter_97: class Program_weight_tensor_parameter_98: name = "parameter_98" + original_name = "conv2d_50.w_0" shape = [96, 160, 1, 1] dtype = "float32" min_val = float("-0.587386") @@ -1089,6 +1188,7 @@ class Program_weight_tensor_parameter_98: class Program_weight_tensor_parameter_99: name = "parameter_99" + original_name = "batch_norm2d_47.b_0" shape = [96] dtype = "float32" min_val = float("-2.84615") @@ -1100,6 +1200,7 @@ class Program_weight_tensor_parameter_99: class Program_weight_tensor_parameter_100: name = "parameter_100" + original_name = "batch_norm2d_47.w_0" shape = [96] dtype = "float32" min_val = float("0.0482252") @@ -1111,6 +1212,7 @@ class Program_weight_tensor_parameter_100: class Program_weight_tensor_parameter_101: name = "parameter_101" + original_name = "batch_norm2d_47.w_2" shape = [96] dtype = "float32" min_val = float("1.01655") @@ -1122,6 +1224,7 @@ class Program_weight_tensor_parameter_101: class Program_weight_tensor_parameter_102: name = "parameter_102" + original_name = "batch_norm2d_47.w_1" shape = [96] dtype = "float32" min_val = float("-0.990652") @@ -1133,6 +1236,7 @@ class Program_weight_tensor_parameter_102: class Program_weight_tensor_parameter_103: name = "parameter_103" + original_name = "conv2d_49.w_0" shape = [96, 160, 1, 1] dtype = "float32" min_val = float("-0.315133") @@ -1144,6 +1248,7 @@ class Program_weight_tensor_parameter_103: class Program_weight_tensor_parameter_104: name = "parameter_104" + original_name = "batch_norm2d_26.b_0" shape = [160] dtype = "float32" min_val = float("-0.871859") @@ -1155,6 +1260,7 @@ class Program_weight_tensor_parameter_104: class Program_weight_tensor_parameter_105: name = "parameter_105" + original_name = "batch_norm2d_26.w_0" shape = [160] dtype = "float32" min_val = float("1.46044") @@ -1166,6 +1272,7 @@ class Program_weight_tensor_parameter_105: class Program_weight_tensor_parameter_106: name = "parameter_106" + original_name = "batch_norm2d_26.w_2" shape = [160] dtype = "float32" min_val = float("5.39117") @@ -1177,6 +1284,7 @@ class Program_weight_tensor_parameter_106: class Program_weight_tensor_parameter_107: name = "parameter_107" + original_name = "batch_norm2d_26.w_1" shape = [160] dtype = "float32" min_val = float("-16.1519") @@ -1188,6 +1296,7 @@ class Program_weight_tensor_parameter_107: class Program_weight_tensor_parameter_108: name = "parameter_108" + original_name = "conv2d_26.w_0" shape = [160, 768, 1, 1] dtype = "float32" min_val = float("-0.743618") @@ -1199,6 +1308,7 @@ class Program_weight_tensor_parameter_108: class Program_weight_tensor_parameter_109: name = "parameter_109" + original_name = "batch_norm2d_25.b_0" shape = [768] dtype = "float32" min_val = float("-6.01793") @@ -1210,6 +1320,7 @@ class Program_weight_tensor_parameter_109: class Program_weight_tensor_parameter_110: name = "parameter_110" + original_name = "batch_norm2d_25.w_0" shape = [768] dtype = "float32" min_val = float("0.808304") @@ -1221,6 +1332,7 @@ class Program_weight_tensor_parameter_110: class Program_weight_tensor_parameter_111: name = "parameter_111" + original_name = "batch_norm2d_25.w_2" shape = [768] dtype = "float32" min_val = float("5.60519e-45") @@ -1232,6 +1344,7 @@ class Program_weight_tensor_parameter_111: class Program_weight_tensor_parameter_112: name = "parameter_112" + original_name = "batch_norm2d_25.w_1" shape = [768] dtype = "float32" min_val = float("-2.13854") @@ -1243,6 +1356,7 @@ class Program_weight_tensor_parameter_112: class Program_weight_tensor_parameter_113: name = "parameter_113" + original_name = "conv2d_25.w_0" shape = [768, 1, 3, 3] dtype = "float32" min_val = float("-0.277844") @@ -1254,6 +1368,7 @@ class Program_weight_tensor_parameter_113: class Program_weight_tensor_parameter_114: name = "parameter_114" + original_name = "batch_norm2d_24.b_0" shape = [768] dtype = "float32" min_val = float("-4.77029") @@ -1265,6 +1380,7 @@ class Program_weight_tensor_parameter_114: class Program_weight_tensor_parameter_115: name = "parameter_115" + original_name = "batch_norm2d_24.w_0" shape = [768] dtype = "float32" min_val = float("-0.26054") @@ -1276,6 +1392,7 @@ class Program_weight_tensor_parameter_115: class Program_weight_tensor_parameter_116: name = "parameter_116" + original_name = "batch_norm2d_24.w_2" shape = [768] dtype = "float32" min_val = float("5.60519e-45") @@ -1287,6 +1404,7 @@ class Program_weight_tensor_parameter_116: class Program_weight_tensor_parameter_117: name = "parameter_117" + original_name = "batch_norm2d_24.w_1" shape = [768] dtype = "float32" min_val = float("-6.67108") @@ -1298,6 +1416,7 @@ class Program_weight_tensor_parameter_117: class Program_weight_tensor_parameter_118: name = "parameter_118" + original_name = "conv2d_24.w_0" shape = [768, 128, 1, 1] dtype = "float32" min_val = float("-0.584392") @@ -1309,6 +1428,7 @@ class Program_weight_tensor_parameter_118: class Program_weight_tensor_parameter_119: name = "parameter_119" + original_name = "batch_norm2d_46.b_0" shape = [128] dtype = "float32" min_val = float("-1.01521") @@ -1320,6 +1440,7 @@ class Program_weight_tensor_parameter_119: class Program_weight_tensor_parameter_120: name = "parameter_120" + original_name = "batch_norm2d_46.w_0" shape = [128] dtype = "float32" min_val = float("-0.310142") @@ -1331,6 +1452,7 @@ class Program_weight_tensor_parameter_120: class Program_weight_tensor_parameter_121: name = "parameter_121" + original_name = "batch_norm2d_46.w_2" shape = [128] dtype = "float32" min_val = float("0.0225761") @@ -1342,6 +1464,7 @@ class Program_weight_tensor_parameter_121: class Program_weight_tensor_parameter_122: name = "parameter_122" + original_name = "batch_norm2d_46.w_1" shape = [128] dtype = "float32" min_val = float("-1.15196") @@ -1353,6 +1476,7 @@ class Program_weight_tensor_parameter_122: class Program_weight_tensor_parameter_123: name = "parameter_123" + original_name = "conv2d_48.w_0" shape = [128, 256, 1, 1] dtype = "float32" min_val = float("-0.449055") @@ -1364,6 +1488,7 @@ class Program_weight_tensor_parameter_123: class Program_weight_tensor_parameter_124: name = "parameter_124" + original_name = "conv2d_47.b_0" shape = [256] dtype = "float32" min_val = float("-2.83855") @@ -1375,6 +1500,7 @@ class Program_weight_tensor_parameter_124: class Program_weight_tensor_parameter_125: name = "parameter_125" + original_name = "conv2d_47.w_0" shape = [256, 1, 3, 3] dtype = "float32" min_val = float("-0.541175") @@ -1386,6 +1512,7 @@ class Program_weight_tensor_parameter_125: class Program_weight_tensor_parameter_126: name = "parameter_126" + original_name = "batch_norm2d_45.b_0" shape = [256] dtype = "float32" min_val = float("-4.747") @@ -1397,6 +1524,7 @@ class Program_weight_tensor_parameter_126: class Program_weight_tensor_parameter_127: name = "parameter_127" + original_name = "batch_norm2d_45.w_0" shape = [256] dtype = "float32" min_val = float("0.722462") @@ -1408,6 +1536,7 @@ class Program_weight_tensor_parameter_127: class Program_weight_tensor_parameter_128: name = "parameter_128" + original_name = "batch_norm2d_45.w_2" shape = [256] dtype = "float32" min_val = float("3.0133") @@ -1419,6 +1548,7 @@ class Program_weight_tensor_parameter_128: class Program_weight_tensor_parameter_129: name = "parameter_129" + original_name = "batch_norm2d_45.w_1" shape = [256] dtype = "float32" min_val = float("-6.49916") @@ -1430,6 +1560,7 @@ class Program_weight_tensor_parameter_129: class Program_weight_tensor_parameter_130: name = "parameter_130" + original_name = "conv2d_46.w_0" shape = [256, 128, 1, 1] dtype = "float32" min_val = float("-0.509698") @@ -1441,6 +1572,7 @@ class Program_weight_tensor_parameter_130: class Program_weight_tensor_parameter_131: name = "parameter_131" + original_name = "batch_norm2d_40.b_0" shape = [128] dtype = "float32" min_val = float("-3.81977") @@ -1452,6 +1584,7 @@ class Program_weight_tensor_parameter_131: class Program_weight_tensor_parameter_132: name = "parameter_132" + original_name = "batch_norm2d_40.w_0" shape = [128] dtype = "float32" min_val = float("-3.33733") @@ -1463,6 +1596,7 @@ class Program_weight_tensor_parameter_132: class Program_weight_tensor_parameter_133: name = "parameter_133" + original_name = "batch_norm2d_40.w_2" shape = [128] dtype = "float32" min_val = float("0.16678") @@ -1474,6 +1608,7 @@ class Program_weight_tensor_parameter_133: class Program_weight_tensor_parameter_134: name = "parameter_134" + original_name = "batch_norm2d_40.w_1" shape = [128] dtype = "float32" min_val = float("-1.8673") @@ -1485,6 +1620,7 @@ class Program_weight_tensor_parameter_134: class Program_weight_tensor_parameter_135: name = "parameter_135" + original_name = "conv2d_41.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.463887") @@ -1496,6 +1632,7 @@ class Program_weight_tensor_parameter_135: class Program_weight_tensor_parameter_136: name = "parameter_136" + original_name = "batch_norm2d_42.b_0" shape = [128] dtype = "float32" min_val = float("-2.57039") @@ -1507,6 +1644,7 @@ class Program_weight_tensor_parameter_136: class Program_weight_tensor_parameter_137: name = "parameter_137" + original_name = "batch_norm2d_42.w_0" shape = [128] dtype = "float32" min_val = float("-1.8269") @@ -1518,6 +1656,7 @@ class Program_weight_tensor_parameter_137: class Program_weight_tensor_parameter_138: name = "parameter_138" + original_name = "batch_norm2d_42.w_2" shape = [128] dtype = "float32" min_val = float("0.0233131") @@ -1529,6 +1668,7 @@ class Program_weight_tensor_parameter_138: class Program_weight_tensor_parameter_139: name = "parameter_139" + original_name = "batch_norm2d_42.w_1" shape = [128] dtype = "float32" min_val = float("-1.1859") @@ -1540,6 +1680,7 @@ class Program_weight_tensor_parameter_139: class Program_weight_tensor_parameter_140: name = "parameter_140" + original_name = "conv2d_43.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.484306") @@ -1551,6 +1692,7 @@ class Program_weight_tensor_parameter_140: class Program_weight_tensor_parameter_141: name = "parameter_141" + original_name = "batch_norm2d_41.b_0" shape = [128] dtype = "float32" min_val = float("-2.57062") @@ -1562,6 +1704,7 @@ class Program_weight_tensor_parameter_141: class Program_weight_tensor_parameter_142: name = "parameter_142" + original_name = "batch_norm2d_41.w_0" shape = [128] dtype = "float32" min_val = float("-1.73667") @@ -1573,6 +1716,7 @@ class Program_weight_tensor_parameter_142: class Program_weight_tensor_parameter_143: name = "parameter_143" + original_name = "batch_norm2d_41.w_2" shape = [128] dtype = "float32" min_val = float("0.0164409") @@ -1584,6 +1728,7 @@ class Program_weight_tensor_parameter_143: class Program_weight_tensor_parameter_144: name = "parameter_144" + original_name = "batch_norm2d_41.w_1" shape = [128] dtype = "float32" min_val = float("-1.02746") @@ -1595,6 +1740,7 @@ class Program_weight_tensor_parameter_144: class Program_weight_tensor_parameter_145: name = "parameter_145" + original_name = "conv2d_42.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.481643") @@ -1606,6 +1752,7 @@ class Program_weight_tensor_parameter_145: class Program_weight_tensor_parameter_146: name = "parameter_146" + original_name = "batch_norm2d_44.b_0" shape = [128] dtype = "float32" min_val = float("-10.3948") @@ -1617,6 +1764,7 @@ class Program_weight_tensor_parameter_146: class Program_weight_tensor_parameter_147: name = "parameter_147" + original_name = "batch_norm2d_44.w_0" shape = [128] dtype = "float32" min_val = float("1.08673") @@ -1628,6 +1776,7 @@ class Program_weight_tensor_parameter_147: class Program_weight_tensor_parameter_148: name = "parameter_148" + original_name = "batch_norm2d_44.w_2" shape = [128] dtype = "float32" min_val = float("0.177571") @@ -1639,6 +1788,7 @@ class Program_weight_tensor_parameter_148: class Program_weight_tensor_parameter_149: name = "parameter_149" + original_name = "batch_norm2d_44.w_1" shape = [128] dtype = "float32" min_val = float("-2.03986") @@ -1650,6 +1800,7 @@ class Program_weight_tensor_parameter_149: class Program_weight_tensor_parameter_150: name = "parameter_150" + original_name = "conv2d_45.w_0" shape = [128, 256, 1, 1] dtype = "float32" min_val = float("-0.478104") @@ -1661,6 +1812,7 @@ class Program_weight_tensor_parameter_150: class Program_weight_tensor_parameter_151: name = "parameter_151" + original_name = "batch_norm2d_43.b_0" shape = [256] dtype = "float32" min_val = float("-4.08936") @@ -1672,6 +1824,7 @@ class Program_weight_tensor_parameter_151: class Program_weight_tensor_parameter_152: name = "parameter_152" + original_name = "batch_norm2d_43.w_0" shape = [256] dtype = "float32" min_val = float("0.704063") @@ -1683,6 +1836,7 @@ class Program_weight_tensor_parameter_152: class Program_weight_tensor_parameter_153: name = "parameter_153" + original_name = "batch_norm2d_43.w_2" shape = [256] dtype = "float32" min_val = float("0.0003586") @@ -1694,6 +1848,7 @@ class Program_weight_tensor_parameter_153: class Program_weight_tensor_parameter_154: name = "parameter_154" + original_name = "batch_norm2d_43.w_1" shape = [256] dtype = "float32" min_val = float("-1.7159") @@ -1705,6 +1860,7 @@ class Program_weight_tensor_parameter_154: class Program_weight_tensor_parameter_155: name = "parameter_155" + original_name = "conv2d_44.w_0" shape = [256, 1, 3, 3] dtype = "float32" min_val = float("-0.571032") @@ -1716,6 +1872,7 @@ class Program_weight_tensor_parameter_155: class Program_weight_tensor_parameter_156: name = "parameter_156" + original_name = "batch_norm2d_39.b_0" shape = [128] dtype = "float32" min_val = float("-1.74399") @@ -1727,6 +1884,7 @@ class Program_weight_tensor_parameter_156: class Program_weight_tensor_parameter_157: name = "parameter_157" + original_name = "batch_norm2d_39.w_0" shape = [128] dtype = "float32" min_val = float("0.545582") @@ -1738,6 +1896,7 @@ class Program_weight_tensor_parameter_157: class Program_weight_tensor_parameter_158: name = "parameter_158" + original_name = "batch_norm2d_39.w_2" shape = [128] dtype = "float32" min_val = float("5.04063") @@ -1749,6 +1908,7 @@ class Program_weight_tensor_parameter_158: class Program_weight_tensor_parameter_159: name = "parameter_159" + original_name = "batch_norm2d_39.w_1" shape = [128] dtype = "float32" min_val = float("-7.50572") @@ -1760,6 +1920,7 @@ class Program_weight_tensor_parameter_159: class Program_weight_tensor_parameter_160: name = "parameter_160" + original_name = "conv2d_40.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.605532") @@ -1771,6 +1932,7 @@ class Program_weight_tensor_parameter_160: class Program_weight_tensor_parameter_161: name = "parameter_161" + original_name = "batch_norm2d_38.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -1780,6 +1942,7 @@ class Program_weight_tensor_parameter_161: class Program_weight_tensor_parameter_162: name = "parameter_162" + original_name = "batch_norm2d_38.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -1789,6 +1952,7 @@ class Program_weight_tensor_parameter_162: class Program_weight_tensor_parameter_163: name = "parameter_163" + original_name = "batch_norm2d_38.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -1798,6 +1962,7 @@ class Program_weight_tensor_parameter_163: class Program_weight_tensor_parameter_164: name = "parameter_164" + original_name = "batch_norm2d_38.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -1807,6 +1972,7 @@ class Program_weight_tensor_parameter_164: class Program_weight_tensor_parameter_165: name = "parameter_165" + original_name = "conv2d_39.w_0" shape = [64, 128, 1, 1] dtype = "float32" min_val = float("-0.493914") @@ -1818,6 +1984,7 @@ class Program_weight_tensor_parameter_165: class Program_weight_tensor_parameter_166: name = "parameter_166" + original_name = "batch_norm2d_37.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -1827,6 +1994,7 @@ class Program_weight_tensor_parameter_166: class Program_weight_tensor_parameter_167: name = "parameter_167" + original_name = "batch_norm2d_37.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -1836,6 +2004,7 @@ class Program_weight_tensor_parameter_167: class Program_weight_tensor_parameter_168: name = "parameter_168" + original_name = "batch_norm2d_37.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -1845,6 +2014,7 @@ class Program_weight_tensor_parameter_168: class Program_weight_tensor_parameter_169: name = "parameter_169" + original_name = "batch_norm2d_37.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -1854,6 +2024,7 @@ class Program_weight_tensor_parameter_169: class Program_weight_tensor_parameter_170: name = "parameter_170" + original_name = "conv2d_38.w_0" shape = [64, 128, 1, 1] dtype = "float32" min_val = float("-0.716293") @@ -1865,6 +2036,7 @@ class Program_weight_tensor_parameter_170: class Program_weight_tensor_parameter_171: name = "parameter_171" + original_name = "batch_norm2d_36.b_0" shape = [128] dtype = "float32" min_val = float("-0.00472084") @@ -1876,6 +2048,7 @@ class Program_weight_tensor_parameter_171: class Program_weight_tensor_parameter_172: name = "parameter_172" + original_name = "batch_norm2d_36.w_0" shape = [128] dtype = "float32" min_val = float("0.706161") @@ -1887,6 +2060,7 @@ class Program_weight_tensor_parameter_172: class Program_weight_tensor_parameter_173: name = "parameter_173" + original_name = "batch_norm2d_36.w_2" shape = [128] dtype = "float32" min_val = float("0.0937137") @@ -1898,6 +2072,7 @@ class Program_weight_tensor_parameter_173: class Program_weight_tensor_parameter_174: name = "parameter_174" + original_name = "batch_norm2d_36.w_1" shape = [128] dtype = "float32" min_val = float("-1.92886") @@ -1909,6 +2084,7 @@ class Program_weight_tensor_parameter_174: class Program_weight_tensor_parameter_175: name = "parameter_175" + original_name = "conv2d_37.w_0" shape = [128, 256, 1, 1] dtype = "float32" min_val = float("-0.480067") @@ -1920,6 +2096,7 @@ class Program_weight_tensor_parameter_175: class Program_weight_tensor_parameter_176: name = "parameter_176" + original_name = "conv2d_36.b_0" shape = [256] dtype = "float32" min_val = float("-3.50279") @@ -1931,6 +2108,7 @@ class Program_weight_tensor_parameter_176: class Program_weight_tensor_parameter_177: name = "parameter_177" + original_name = "conv2d_36.w_0" shape = [256, 1, 3, 3] dtype = "float32" min_val = float("-0.660249") @@ -1942,6 +2120,7 @@ class Program_weight_tensor_parameter_177: class Program_weight_tensor_parameter_178: name = "parameter_178" + original_name = "batch_norm2d_35.b_0" shape = [256] dtype = "float32" min_val = float("-5.5199") @@ -1953,6 +2132,7 @@ class Program_weight_tensor_parameter_178: class Program_weight_tensor_parameter_179: name = "parameter_179" + original_name = "batch_norm2d_35.w_0" shape = [256] dtype = "float32" min_val = float("0.799696") @@ -1964,6 +2144,7 @@ class Program_weight_tensor_parameter_179: class Program_weight_tensor_parameter_180: name = "parameter_180" + original_name = "batch_norm2d_35.w_2" shape = [256] dtype = "float32" min_val = float("2.67299") @@ -1975,6 +2156,7 @@ class Program_weight_tensor_parameter_180: class Program_weight_tensor_parameter_181: name = "parameter_181" + original_name = "batch_norm2d_35.w_1" shape = [256] dtype = "float32" min_val = float("-9.73847") @@ -1986,6 +2168,7 @@ class Program_weight_tensor_parameter_181: class Program_weight_tensor_parameter_182: name = "parameter_182" + original_name = "conv2d_35.w_0" shape = [256, 128, 1, 1] dtype = "float32" min_val = float("-0.826677") @@ -1997,6 +2180,7 @@ class Program_weight_tensor_parameter_182: class Program_weight_tensor_parameter_183: name = "parameter_183" + original_name = "batch_norm2d_30.b_0" shape = [128] dtype = "float32" min_val = float("-3.86312") @@ -2008,6 +2192,7 @@ class Program_weight_tensor_parameter_183: class Program_weight_tensor_parameter_184: name = "parameter_184" + original_name = "batch_norm2d_30.w_0" shape = [128] dtype = "float32" min_val = float("-2.83802") @@ -2019,6 +2204,7 @@ class Program_weight_tensor_parameter_184: class Program_weight_tensor_parameter_185: name = "parameter_185" + original_name = "batch_norm2d_30.w_2" shape = [128] dtype = "float32" min_val = float("0.124922") @@ -2030,6 +2216,7 @@ class Program_weight_tensor_parameter_185: class Program_weight_tensor_parameter_186: name = "parameter_186" + original_name = "batch_norm2d_30.w_1" shape = [128] dtype = "float32" min_val = float("-2.55733") @@ -2041,6 +2228,7 @@ class Program_weight_tensor_parameter_186: class Program_weight_tensor_parameter_187: name = "parameter_187" + original_name = "conv2d_30.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-1.2806") @@ -2052,6 +2240,7 @@ class Program_weight_tensor_parameter_187: class Program_weight_tensor_parameter_188: name = "parameter_188" + original_name = "batch_norm2d_32.b_0" shape = [128] dtype = "float32" min_val = float("-8.41947") @@ -2063,6 +2252,7 @@ class Program_weight_tensor_parameter_188: class Program_weight_tensor_parameter_189: name = "parameter_189" + original_name = "batch_norm2d_32.w_0" shape = [128] dtype = "float32" min_val = float("-2.52565") @@ -2074,6 +2264,7 @@ class Program_weight_tensor_parameter_189: class Program_weight_tensor_parameter_190: name = "parameter_190" + original_name = "batch_norm2d_32.w_2" shape = [128] dtype = "float32" min_val = float("0.0296406") @@ -2085,6 +2276,7 @@ class Program_weight_tensor_parameter_190: class Program_weight_tensor_parameter_191: name = "parameter_191" + original_name = "batch_norm2d_32.w_1" shape = [128] dtype = "float32" min_val = float("-2.25006") @@ -2096,6 +2288,7 @@ class Program_weight_tensor_parameter_191: class Program_weight_tensor_parameter_192: name = "parameter_192" + original_name = "conv2d_32.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.623142") @@ -2107,6 +2300,7 @@ class Program_weight_tensor_parameter_192: class Program_weight_tensor_parameter_193: name = "parameter_193" + original_name = "batch_norm2d_31.b_0" shape = [128] dtype = "float32" min_val = float("-8.41982") @@ -2118,6 +2312,7 @@ class Program_weight_tensor_parameter_193: class Program_weight_tensor_parameter_194: name = "parameter_194" + original_name = "batch_norm2d_31.w_0" shape = [128] dtype = "float32" min_val = float("-3.69915") @@ -2129,6 +2324,7 @@ class Program_weight_tensor_parameter_194: class Program_weight_tensor_parameter_195: name = "parameter_195" + original_name = "batch_norm2d_31.w_2" shape = [128] dtype = "float32" min_val = float("0.043276") @@ -2140,6 +2336,7 @@ class Program_weight_tensor_parameter_195: class Program_weight_tensor_parameter_196: name = "parameter_196" + original_name = "batch_norm2d_31.w_1" shape = [128] dtype = "float32" min_val = float("-2.20421") @@ -2151,6 +2348,7 @@ class Program_weight_tensor_parameter_196: class Program_weight_tensor_parameter_197: name = "parameter_197" + original_name = "conv2d_31.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.721786") @@ -2162,6 +2360,7 @@ class Program_weight_tensor_parameter_197: class Program_weight_tensor_parameter_198: name = "parameter_198" + original_name = "batch_norm2d_34.b_0" shape = [128] dtype = "float32" min_val = float("-20.1528") @@ -2173,6 +2372,7 @@ class Program_weight_tensor_parameter_198: class Program_weight_tensor_parameter_199: name = "parameter_199" + original_name = "batch_norm2d_34.w_0" shape = [128] dtype = "float32" min_val = float("1.02736") @@ -2184,6 +2384,7 @@ class Program_weight_tensor_parameter_199: class Program_weight_tensor_parameter_200: name = "parameter_200" + original_name = "batch_norm2d_34.w_2" shape = [128] dtype = "float32" min_val = float("0.412703") @@ -2195,6 +2396,7 @@ class Program_weight_tensor_parameter_200: class Program_weight_tensor_parameter_201: name = "parameter_201" + original_name = "batch_norm2d_34.w_1" shape = [128] dtype = "float32" min_val = float("-7.28169") @@ -2206,6 +2408,7 @@ class Program_weight_tensor_parameter_201: class Program_weight_tensor_parameter_202: name = "parameter_202" + original_name = "conv2d_34.w_0" shape = [128, 256, 1, 1] dtype = "float32" min_val = float("-0.782075") @@ -2217,6 +2420,7 @@ class Program_weight_tensor_parameter_202: class Program_weight_tensor_parameter_203: name = "parameter_203" + original_name = "batch_norm2d_33.b_0" shape = [256] dtype = "float32" min_val = float("-4.32566") @@ -2228,6 +2432,7 @@ class Program_weight_tensor_parameter_203: class Program_weight_tensor_parameter_204: name = "parameter_204" + original_name = "batch_norm2d_33.w_0" shape = [256] dtype = "float32" min_val = float("0.720327") @@ -2239,6 +2444,7 @@ class Program_weight_tensor_parameter_204: class Program_weight_tensor_parameter_205: name = "parameter_205" + original_name = "batch_norm2d_33.w_2" shape = [256] dtype = "float32" min_val = float("0.00023333") @@ -2250,6 +2456,7 @@ class Program_weight_tensor_parameter_205: class Program_weight_tensor_parameter_206: name = "parameter_206" + original_name = "batch_norm2d_33.w_1" shape = [256] dtype = "float32" min_val = float("-4.3104") @@ -2261,6 +2468,7 @@ class Program_weight_tensor_parameter_206: class Program_weight_tensor_parameter_207: name = "parameter_207" + original_name = "conv2d_33.w_0" shape = [256, 1, 3, 3] dtype = "float32" min_val = float("-0.746652") @@ -2272,6 +2480,7 @@ class Program_weight_tensor_parameter_207: class Program_weight_tensor_parameter_208: name = "parameter_208" + original_name = "batch_norm2d_29.b_0" shape = [128] dtype = "float32" min_val = float("-8.63109") @@ -2283,6 +2492,7 @@ class Program_weight_tensor_parameter_208: class Program_weight_tensor_parameter_209: name = "parameter_209" + original_name = "batch_norm2d_29.w_0" shape = [128] dtype = "float32" min_val = float("-0.0986718") @@ -2294,6 +2504,7 @@ class Program_weight_tensor_parameter_209: class Program_weight_tensor_parameter_210: name = "parameter_210" + original_name = "batch_norm2d_29.w_2" shape = [128] dtype = "float32" min_val = float("2.77536") @@ -2305,6 +2516,7 @@ class Program_weight_tensor_parameter_210: class Program_weight_tensor_parameter_211: name = "parameter_211" + original_name = "batch_norm2d_29.w_1" shape = [128] dtype = "float32" min_val = float("-0.0064576") @@ -2316,6 +2528,7 @@ class Program_weight_tensor_parameter_211: class Program_weight_tensor_parameter_212: name = "parameter_212" + original_name = "conv2d_29.w_0" shape = [128, 128, 1, 1] dtype = "float32" min_val = float("-0.868917") @@ -2327,6 +2540,7 @@ class Program_weight_tensor_parameter_212: class Program_weight_tensor_parameter_213: name = "parameter_213" + original_name = "batch_norm2d_28.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -2336,6 +2550,7 @@ class Program_weight_tensor_parameter_213: class Program_weight_tensor_parameter_214: name = "parameter_214" + original_name = "batch_norm2d_28.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -2345,6 +2560,7 @@ class Program_weight_tensor_parameter_214: class Program_weight_tensor_parameter_215: name = "parameter_215" + original_name = "batch_norm2d_28.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -2354,6 +2570,7 @@ class Program_weight_tensor_parameter_215: class Program_weight_tensor_parameter_216: name = "parameter_216" + original_name = "batch_norm2d_28.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -2363,6 +2580,7 @@ class Program_weight_tensor_parameter_216: class Program_weight_tensor_parameter_217: name = "parameter_217" + original_name = "conv2d_28.w_0" shape = [64, 128, 1, 1] dtype = "float32" min_val = float("-0.758681") @@ -2374,6 +2592,7 @@ class Program_weight_tensor_parameter_217: class Program_weight_tensor_parameter_218: name = "parameter_218" + original_name = "batch_norm2d_27.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -2383,6 +2602,7 @@ class Program_weight_tensor_parameter_218: class Program_weight_tensor_parameter_219: name = "parameter_219" + original_name = "batch_norm2d_27.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -2392,6 +2612,7 @@ class Program_weight_tensor_parameter_219: class Program_weight_tensor_parameter_220: name = "parameter_220" + original_name = "batch_norm2d_27.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -2401,6 +2622,7 @@ class Program_weight_tensor_parameter_220: class Program_weight_tensor_parameter_221: name = "parameter_221" + original_name = "batch_norm2d_27.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -2410,6 +2632,7 @@ class Program_weight_tensor_parameter_221: class Program_weight_tensor_parameter_222: name = "parameter_222" + original_name = "conv2d_27.w_0" shape = [64, 128, 1, 1] dtype = "float32" min_val = float("-0.506924") @@ -2421,6 +2644,7 @@ class Program_weight_tensor_parameter_222: class Program_weight_tensor_parameter_223: name = "parameter_223" + original_name = "batch_norm2d_23.b_0" shape = [128] dtype = "float32" min_val = float("-0.00602357") @@ -2432,6 +2656,7 @@ class Program_weight_tensor_parameter_223: class Program_weight_tensor_parameter_224: name = "parameter_224" + original_name = "batch_norm2d_23.w_0" shape = [128] dtype = "float32" min_val = float("1.03124") @@ -2443,6 +2668,7 @@ class Program_weight_tensor_parameter_224: class Program_weight_tensor_parameter_225: name = "parameter_225" + original_name = "batch_norm2d_23.w_2" shape = [128] dtype = "float32" min_val = float("5.22742") @@ -2454,6 +2680,7 @@ class Program_weight_tensor_parameter_225: class Program_weight_tensor_parameter_226: name = "parameter_226" + original_name = "batch_norm2d_23.w_1" shape = [128] dtype = "float32" min_val = float("-18.7199") @@ -2465,6 +2692,7 @@ class Program_weight_tensor_parameter_226: class Program_weight_tensor_parameter_227: name = "parameter_227" + original_name = "conv2d_23.w_0" shape = [128, 192, 1, 1] dtype = "float32" min_val = float("-1.01798") @@ -2476,6 +2704,7 @@ class Program_weight_tensor_parameter_227: class Program_weight_tensor_parameter_228: name = "parameter_228" + original_name = "batch_norm2d_22.b_0" shape = [192] dtype = "float32" min_val = float("-5.18269") @@ -2487,6 +2716,7 @@ class Program_weight_tensor_parameter_228: class Program_weight_tensor_parameter_229: name = "parameter_229" + original_name = "batch_norm2d_22.w_0" shape = [192] dtype = "float32" min_val = float("1.67873") @@ -2498,6 +2728,7 @@ class Program_weight_tensor_parameter_229: class Program_weight_tensor_parameter_230: name = "parameter_230" + original_name = "batch_norm2d_22.w_2" shape = [192] dtype = "float32" min_val = float("0.005973") @@ -2509,6 +2740,7 @@ class Program_weight_tensor_parameter_230: class Program_weight_tensor_parameter_231: name = "parameter_231" + original_name = "batch_norm2d_22.w_1" shape = [192] dtype = "float32" min_val = float("-12.3714") @@ -2520,6 +2752,7 @@ class Program_weight_tensor_parameter_231: class Program_weight_tensor_parameter_232: name = "parameter_232" + original_name = "conv2d_22.w_0" shape = [192, 1, 5, 5] dtype = "float32" min_val = float("-0.444745") @@ -2531,6 +2764,7 @@ class Program_weight_tensor_parameter_232: class Program_weight_tensor_parameter_233: name = "parameter_233" + original_name = "batch_norm2d_21.b_0" shape = [192] dtype = "float32" min_val = float("-4.2057") @@ -2542,6 +2776,7 @@ class Program_weight_tensor_parameter_233: class Program_weight_tensor_parameter_234: name = "parameter_234" + original_name = "batch_norm2d_21.w_0" shape = [192] dtype = "float32" min_val = float("0.801897") @@ -2553,6 +2788,7 @@ class Program_weight_tensor_parameter_234: class Program_weight_tensor_parameter_235: name = "parameter_235" + original_name = "batch_norm2d_21.w_2" shape = [192] dtype = "float32" min_val = float("18.4489") @@ -2564,6 +2800,7 @@ class Program_weight_tensor_parameter_235: class Program_weight_tensor_parameter_236: name = "parameter_236" + original_name = "batch_norm2d_21.w_1" shape = [192] dtype = "float32" min_val = float("-0.00530442") @@ -2575,6 +2812,7 @@ class Program_weight_tensor_parameter_236: class Program_weight_tensor_parameter_237: name = "parameter_237" + original_name = "conv2d_21.w_0" shape = [192, 64, 1, 1] dtype = "float32" min_val = float("-1.12028") @@ -2586,6 +2824,7 @@ class Program_weight_tensor_parameter_237: class Program_weight_tensor_parameter_238: name = "parameter_238" + original_name = "batch_norm2d_20.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -2595,6 +2834,7 @@ class Program_weight_tensor_parameter_238: class Program_weight_tensor_parameter_239: name = "parameter_239" + original_name = "batch_norm2d_20.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -2604,6 +2844,7 @@ class Program_weight_tensor_parameter_239: class Program_weight_tensor_parameter_240: name = "parameter_240" + original_name = "batch_norm2d_20.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -2613,6 +2854,7 @@ class Program_weight_tensor_parameter_240: class Program_weight_tensor_parameter_241: name = "parameter_241" + original_name = "batch_norm2d_20.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -2622,6 +2864,7 @@ class Program_weight_tensor_parameter_241: class Program_weight_tensor_parameter_242: name = "parameter_242" + original_name = "conv2d_20.w_0" shape = [64, 192, 1, 1] dtype = "float32" min_val = float("-0.632773") @@ -2633,6 +2876,7 @@ class Program_weight_tensor_parameter_242: class Program_weight_tensor_parameter_243: name = "parameter_243" + original_name = "batch_norm2d_19.b_0" shape = [192] dtype = "float32" min_val = float("-13.6491") @@ -2644,6 +2888,7 @@ class Program_weight_tensor_parameter_243: class Program_weight_tensor_parameter_244: name = "parameter_244" + original_name = "batch_norm2d_19.w_0" shape = [192] dtype = "float32" min_val = float("0.668165") @@ -2655,6 +2900,7 @@ class Program_weight_tensor_parameter_244: class Program_weight_tensor_parameter_245: name = "parameter_245" + original_name = "batch_norm2d_19.w_2" shape = [192] dtype = "float32" min_val = float("5.60519e-45") @@ -2666,6 +2912,7 @@ class Program_weight_tensor_parameter_245: class Program_weight_tensor_parameter_246: name = "parameter_246" + original_name = "batch_norm2d_19.w_1" shape = [192] dtype = "float32" min_val = float("-2.76653") @@ -2677,6 +2924,7 @@ class Program_weight_tensor_parameter_246: class Program_weight_tensor_parameter_247: name = "parameter_247" + original_name = "conv2d_19.w_0" shape = [192, 1, 3, 3] dtype = "float32" min_val = float("-0.780393") @@ -2688,6 +2936,7 @@ class Program_weight_tensor_parameter_247: class Program_weight_tensor_parameter_248: name = "parameter_248" + original_name = "batch_norm2d_18.b_0" shape = [192] dtype = "float32" min_val = float("-4.29947") @@ -2699,6 +2948,7 @@ class Program_weight_tensor_parameter_248: class Program_weight_tensor_parameter_249: name = "parameter_249" + original_name = "batch_norm2d_18.w_0" shape = [192] dtype = "float32" min_val = float("0.268987") @@ -2710,6 +2960,7 @@ class Program_weight_tensor_parameter_249: class Program_weight_tensor_parameter_250: name = "parameter_250" + original_name = "batch_norm2d_18.w_2" shape = [192] dtype = "float32" min_val = float("5.60519e-45") @@ -2721,6 +2972,7 @@ class Program_weight_tensor_parameter_250: class Program_weight_tensor_parameter_251: name = "parameter_251" + original_name = "batch_norm2d_18.w_1" shape = [192] dtype = "float32" min_val = float("-0.00334471") @@ -2732,6 +2984,7 @@ class Program_weight_tensor_parameter_251: class Program_weight_tensor_parameter_252: name = "parameter_252" + original_name = "conv2d_18.w_0" shape = [192, 64, 1, 1] dtype = "float32" min_val = float("-0.504243") @@ -2743,6 +2996,7 @@ class Program_weight_tensor_parameter_252: class Program_weight_tensor_parameter_253: name = "parameter_253" + original_name = "batch_norm2d_17.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -2752,6 +3006,7 @@ class Program_weight_tensor_parameter_253: class Program_weight_tensor_parameter_254: name = "parameter_254" + original_name = "batch_norm2d_17.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -2761,6 +3016,7 @@ class Program_weight_tensor_parameter_254: class Program_weight_tensor_parameter_255: name = "parameter_255" + original_name = "batch_norm2d_17.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -2770,6 +3026,7 @@ class Program_weight_tensor_parameter_255: class Program_weight_tensor_parameter_256: name = "parameter_256" + original_name = "batch_norm2d_17.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -2779,6 +3036,7 @@ class Program_weight_tensor_parameter_256: class Program_weight_tensor_parameter_257: name = "parameter_257" + original_name = "conv2d_17.w_0" shape = [64, 96, 1, 1] dtype = "float32" min_val = float("-1.02697") @@ -2790,6 +3048,7 @@ class Program_weight_tensor_parameter_257: class Program_weight_tensor_parameter_258: name = "parameter_258" + original_name = "batch_norm2d_16.b_0" shape = [96] dtype = "float32" min_val = float("-1.49743") @@ -2801,6 +3060,7 @@ class Program_weight_tensor_parameter_258: class Program_weight_tensor_parameter_259: name = "parameter_259" + original_name = "batch_norm2d_16.w_0" shape = [96] dtype = "float32" min_val = float("1.55576") @@ -2812,6 +3072,7 @@ class Program_weight_tensor_parameter_259: class Program_weight_tensor_parameter_260: name = "parameter_260" + original_name = "batch_norm2d_16.w_2" shape = [96] dtype = "float32" min_val = float("0.227324") @@ -2823,6 +3084,7 @@ class Program_weight_tensor_parameter_260: class Program_weight_tensor_parameter_261: name = "parameter_261" + original_name = "batch_norm2d_16.w_1" shape = [96] dtype = "float32" min_val = float("-5.5259") @@ -2834,6 +3096,7 @@ class Program_weight_tensor_parameter_261: class Program_weight_tensor_parameter_262: name = "parameter_262" + original_name = "conv2d_16.w_0" shape = [96, 1, 3, 3] dtype = "float32" min_val = float("-0.440958") @@ -2845,6 +3108,7 @@ class Program_weight_tensor_parameter_262: class Program_weight_tensor_parameter_263: name = "parameter_263" + original_name = "batch_norm2d_15.b_0" shape = [96] dtype = "float32" min_val = float("-4.8853") @@ -2856,6 +3120,7 @@ class Program_weight_tensor_parameter_263: class Program_weight_tensor_parameter_264: name = "parameter_264" + original_name = "batch_norm2d_15.w_0" shape = [96] dtype = "float32" min_val = float("0.407317") @@ -2867,6 +3132,7 @@ class Program_weight_tensor_parameter_264: class Program_weight_tensor_parameter_265: name = "parameter_265" + original_name = "batch_norm2d_15.w_2" shape = [96] dtype = "float32" min_val = float("31.4588") @@ -2878,6 +3144,7 @@ class Program_weight_tensor_parameter_265: class Program_weight_tensor_parameter_266: name = "parameter_266" + original_name = "batch_norm2d_15.w_1" shape = [96] dtype = "float32" min_val = float("-0.0099081") @@ -2889,6 +3156,7 @@ class Program_weight_tensor_parameter_266: class Program_weight_tensor_parameter_267: name = "parameter_267" + original_name = "conv2d_15.w_0" shape = [96, 32, 1, 1] dtype = "float32" min_val = float("-1.3588") @@ -2900,6 +3168,7 @@ class Program_weight_tensor_parameter_267: class Program_weight_tensor_parameter_268: name = "parameter_268" + original_name = "batch_norm2d_14.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -2909,6 +3178,7 @@ class Program_weight_tensor_parameter_268: class Program_weight_tensor_parameter_269: name = "parameter_269" + original_name = "batch_norm2d_14.w_0" shape = [32] dtype = "float32" min_val = float("0") @@ -2918,6 +3188,7 @@ class Program_weight_tensor_parameter_269: class Program_weight_tensor_parameter_270: name = "parameter_270" + original_name = "batch_norm2d_14.w_2" shape = [32] dtype = "float32" min_val = float("0") @@ -2927,6 +3198,7 @@ class Program_weight_tensor_parameter_270: class Program_weight_tensor_parameter_271: name = "parameter_271" + original_name = "batch_norm2d_14.w_1" shape = [32] dtype = "float32" min_val = float("0") @@ -2936,6 +3208,7 @@ class Program_weight_tensor_parameter_271: class Program_weight_tensor_parameter_272: name = "parameter_272" + original_name = "conv2d_14.w_0" shape = [32, 96, 1, 1] dtype = "float32" min_val = float("-0.899369") @@ -2947,6 +3220,7 @@ class Program_weight_tensor_parameter_272: class Program_weight_tensor_parameter_273: name = "parameter_273" + original_name = "batch_norm2d_13.b_0" shape = [96] dtype = "float32" min_val = float("-14.7657") @@ -2958,6 +3232,7 @@ class Program_weight_tensor_parameter_273: class Program_weight_tensor_parameter_274: name = "parameter_274" + original_name = "batch_norm2d_13.w_0" shape = [96] dtype = "float32" min_val = float("1.05511") @@ -2969,6 +3244,7 @@ class Program_weight_tensor_parameter_274: class Program_weight_tensor_parameter_275: name = "parameter_275" + original_name = "batch_norm2d_13.w_2" shape = [96] dtype = "float32" min_val = float("0.285256") @@ -2980,6 +3256,7 @@ class Program_weight_tensor_parameter_275: class Program_weight_tensor_parameter_276: name = "parameter_276" + original_name = "batch_norm2d_13.w_1" shape = [96] dtype = "float32" min_val = float("-21.2036") @@ -2991,6 +3268,7 @@ class Program_weight_tensor_parameter_276: class Program_weight_tensor_parameter_277: name = "parameter_277" + original_name = "conv2d_13.w_0" shape = [96, 1, 5, 5] dtype = "float32" min_val = float("-1.73834") @@ -3002,6 +3280,7 @@ class Program_weight_tensor_parameter_277: class Program_weight_tensor_parameter_278: name = "parameter_278" + original_name = "batch_norm2d_12.b_0" shape = [96] dtype = "float32" min_val = float("-2.14764") @@ -3013,6 +3292,7 @@ class Program_weight_tensor_parameter_278: class Program_weight_tensor_parameter_279: name = "parameter_279" + original_name = "batch_norm2d_12.w_0" shape = [96] dtype = "float32" min_val = float("0.71409") @@ -3024,6 +3304,7 @@ class Program_weight_tensor_parameter_279: class Program_weight_tensor_parameter_280: name = "parameter_280" + original_name = "batch_norm2d_12.w_2" shape = [96] dtype = "float32" min_val = float("14.8876") @@ -3035,6 +3316,7 @@ class Program_weight_tensor_parameter_280: class Program_weight_tensor_parameter_281: name = "parameter_281" + original_name = "batch_norm2d_12.w_1" shape = [96] dtype = "float32" min_val = float("-0.0043112") @@ -3046,6 +3328,7 @@ class Program_weight_tensor_parameter_281: class Program_weight_tensor_parameter_282: name = "parameter_282" + original_name = "conv2d_12.w_0" shape = [96, 32, 1, 1] dtype = "float32" min_val = float("-0.958433") @@ -3057,6 +3340,7 @@ class Program_weight_tensor_parameter_282: class Program_weight_tensor_parameter_283: name = "parameter_283" + original_name = "batch_norm2d_11.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -3066,6 +3350,7 @@ class Program_weight_tensor_parameter_283: class Program_weight_tensor_parameter_284: name = "parameter_284" + original_name = "batch_norm2d_11.w_0" shape = [32] dtype = "float32" min_val = float("0") @@ -3075,6 +3360,7 @@ class Program_weight_tensor_parameter_284: class Program_weight_tensor_parameter_285: name = "parameter_285" + original_name = "batch_norm2d_11.w_2" shape = [32] dtype = "float32" min_val = float("0") @@ -3084,6 +3370,7 @@ class Program_weight_tensor_parameter_285: class Program_weight_tensor_parameter_286: name = "parameter_286" + original_name = "batch_norm2d_11.w_1" shape = [32] dtype = "float32" min_val = float("0") @@ -3093,6 +3380,7 @@ class Program_weight_tensor_parameter_286: class Program_weight_tensor_parameter_287: name = "parameter_287" + original_name = "conv2d_11.w_0" shape = [32, 48, 1, 1] dtype = "float32" min_val = float("-1.19436") @@ -3104,6 +3392,7 @@ class Program_weight_tensor_parameter_287: class Program_weight_tensor_parameter_288: name = "parameter_288" + original_name = "batch_norm2d_10.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -3113,6 +3402,7 @@ class Program_weight_tensor_parameter_288: class Program_weight_tensor_parameter_289: name = "parameter_289" + original_name = "batch_norm2d_10.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -3122,6 +3412,7 @@ class Program_weight_tensor_parameter_289: class Program_weight_tensor_parameter_290: name = "parameter_290" + original_name = "batch_norm2d_10.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -3131,6 +3422,7 @@ class Program_weight_tensor_parameter_290: class Program_weight_tensor_parameter_291: name = "parameter_291" + original_name = "batch_norm2d_10.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -3140,6 +3432,7 @@ class Program_weight_tensor_parameter_291: class Program_weight_tensor_parameter_292: name = "parameter_292" + original_name = "conv2d_10.w_0" shape = [48, 1, 5, 5] dtype = "float32" min_val = float("-0.711676") @@ -3151,6 +3444,7 @@ class Program_weight_tensor_parameter_292: class Program_weight_tensor_parameter_293: name = "parameter_293" + original_name = "batch_norm2d_9.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -3160,6 +3454,7 @@ class Program_weight_tensor_parameter_293: class Program_weight_tensor_parameter_294: name = "parameter_294" + original_name = "batch_norm2d_9.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -3169,6 +3464,7 @@ class Program_weight_tensor_parameter_294: class Program_weight_tensor_parameter_295: name = "parameter_295" + original_name = "batch_norm2d_9.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -3178,6 +3474,7 @@ class Program_weight_tensor_parameter_295: class Program_weight_tensor_parameter_296: name = "parameter_296" + original_name = "batch_norm2d_9.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -3187,6 +3484,7 @@ class Program_weight_tensor_parameter_296: class Program_weight_tensor_parameter_297: name = "parameter_297" + original_name = "conv2d_9.w_0" shape = [48, 16, 1, 1] dtype = "float32" min_val = float("-1.94587") @@ -3198,6 +3496,7 @@ class Program_weight_tensor_parameter_297: class Program_weight_tensor_parameter_298: name = "parameter_298" + original_name = "batch_norm2d_8.b_0" shape = [16] dtype = "float32" min_val = float("0") @@ -3207,6 +3506,7 @@ class Program_weight_tensor_parameter_298: class Program_weight_tensor_parameter_299: name = "parameter_299" + original_name = "batch_norm2d_8.w_0" shape = [16] dtype = "float32" min_val = float("0") @@ -3216,6 +3516,7 @@ class Program_weight_tensor_parameter_299: class Program_weight_tensor_parameter_300: name = "parameter_300" + original_name = "batch_norm2d_8.w_2" shape = [16] dtype = "float32" min_val = float("0") @@ -3225,6 +3526,7 @@ class Program_weight_tensor_parameter_300: class Program_weight_tensor_parameter_301: name = "parameter_301" + original_name = "batch_norm2d_8.w_1" shape = [16] dtype = "float32" min_val = float("0") @@ -3234,6 +3536,7 @@ class Program_weight_tensor_parameter_301: class Program_weight_tensor_parameter_302: name = "parameter_302" + original_name = "conv2d_8.w_0" shape = [16, 48, 1, 1] dtype = "float32" min_val = float("-0.993618") @@ -3245,6 +3548,7 @@ class Program_weight_tensor_parameter_302: class Program_weight_tensor_parameter_303: name = "parameter_303" + original_name = "batch_norm2d_7.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -3254,6 +3558,7 @@ class Program_weight_tensor_parameter_303: class Program_weight_tensor_parameter_304: name = "parameter_304" + original_name = "batch_norm2d_7.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -3263,6 +3568,7 @@ class Program_weight_tensor_parameter_304: class Program_weight_tensor_parameter_305: name = "parameter_305" + original_name = "batch_norm2d_7.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -3272,6 +3578,7 @@ class Program_weight_tensor_parameter_305: class Program_weight_tensor_parameter_306: name = "parameter_306" + original_name = "batch_norm2d_7.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -3281,6 +3588,7 @@ class Program_weight_tensor_parameter_306: class Program_weight_tensor_parameter_307: name = "parameter_307" + original_name = "conv2d_7.w_0" shape = [48, 1, 3, 3] dtype = "float32" min_val = float("-1.5169") @@ -3292,6 +3600,7 @@ class Program_weight_tensor_parameter_307: class Program_weight_tensor_parameter_308: name = "parameter_308" + original_name = "batch_norm2d_6.b_0" shape = [48] dtype = "float32" min_val = float("0") @@ -3301,6 +3610,7 @@ class Program_weight_tensor_parameter_308: class Program_weight_tensor_parameter_309: name = "parameter_309" + original_name = "batch_norm2d_6.w_0" shape = [48] dtype = "float32" min_val = float("0") @@ -3310,6 +3620,7 @@ class Program_weight_tensor_parameter_309: class Program_weight_tensor_parameter_310: name = "parameter_310" + original_name = "batch_norm2d_6.w_2" shape = [48] dtype = "float32" min_val = float("0") @@ -3319,6 +3630,7 @@ class Program_weight_tensor_parameter_310: class Program_weight_tensor_parameter_311: name = "parameter_311" + original_name = "batch_norm2d_6.w_1" shape = [48] dtype = "float32" min_val = float("0") @@ -3328,6 +3640,7 @@ class Program_weight_tensor_parameter_311: class Program_weight_tensor_parameter_312: name = "parameter_312" + original_name = "conv2d_6.w_0" shape = [48, 16, 1, 1] dtype = "float32" min_val = float("-0.996491") @@ -3339,6 +3652,7 @@ class Program_weight_tensor_parameter_312: class Program_weight_tensor_parameter_313: name = "parameter_313" + original_name = "batch_norm2d_5.b_0" shape = [16] dtype = "float32" min_val = float("0") @@ -3348,6 +3662,7 @@ class Program_weight_tensor_parameter_313: class Program_weight_tensor_parameter_314: name = "parameter_314" + original_name = "batch_norm2d_5.w_0" shape = [16] dtype = "float32" min_val = float("0") @@ -3357,6 +3672,7 @@ class Program_weight_tensor_parameter_314: class Program_weight_tensor_parameter_315: name = "parameter_315" + original_name = "batch_norm2d_5.w_2" shape = [16] dtype = "float32" min_val = float("0") @@ -3366,6 +3682,7 @@ class Program_weight_tensor_parameter_315: class Program_weight_tensor_parameter_316: name = "parameter_316" + original_name = "batch_norm2d_5.w_1" shape = [16] dtype = "float32" min_val = float("0") @@ -3375,6 +3692,7 @@ class Program_weight_tensor_parameter_316: class Program_weight_tensor_parameter_317: name = "parameter_317" + original_name = "conv2d_5.w_0" shape = [16, 64, 1, 1] dtype = "float32" min_val = float("-1.29513") @@ -3386,6 +3704,7 @@ class Program_weight_tensor_parameter_317: class Program_weight_tensor_parameter_318: name = "parameter_318" + original_name = "batch_norm2d_4.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -3395,6 +3714,7 @@ class Program_weight_tensor_parameter_318: class Program_weight_tensor_parameter_319: name = "parameter_319" + original_name = "batch_norm2d_4.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -3404,6 +3724,7 @@ class Program_weight_tensor_parameter_319: class Program_weight_tensor_parameter_320: name = "parameter_320" + original_name = "batch_norm2d_4.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -3413,6 +3734,7 @@ class Program_weight_tensor_parameter_320: class Program_weight_tensor_parameter_321: name = "parameter_321" + original_name = "batch_norm2d_4.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -3422,6 +3744,7 @@ class Program_weight_tensor_parameter_321: class Program_weight_tensor_parameter_322: name = "parameter_322" + original_name = "conv2d_4.w_0" shape = [64, 1, 3, 3] dtype = "float32" min_val = float("-0.751809") @@ -3433,6 +3756,7 @@ class Program_weight_tensor_parameter_322: class Program_weight_tensor_parameter_323: name = "parameter_323" + original_name = "batch_norm2d_3.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -3442,6 +3766,7 @@ class Program_weight_tensor_parameter_323: class Program_weight_tensor_parameter_324: name = "parameter_324" + original_name = "batch_norm2d_3.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -3451,6 +3776,7 @@ class Program_weight_tensor_parameter_324: class Program_weight_tensor_parameter_325: name = "parameter_325" + original_name = "batch_norm2d_3.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -3460,6 +3786,7 @@ class Program_weight_tensor_parameter_325: class Program_weight_tensor_parameter_326: name = "parameter_326" + original_name = "batch_norm2d_3.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -3469,6 +3796,7 @@ class Program_weight_tensor_parameter_326: class Program_weight_tensor_parameter_327: name = "parameter_327" + original_name = "conv2d_3.w_0" shape = [64, 16, 1, 1] dtype = "float32" min_val = float("-1.53297") @@ -3480,6 +3808,7 @@ class Program_weight_tensor_parameter_327: class Program_weight_tensor_parameter_328: name = "parameter_328" + original_name = "batch_norm2d_2.b_0" shape = [16] dtype = "float32" min_val = float("0") @@ -3489,6 +3818,7 @@ class Program_weight_tensor_parameter_328: class Program_weight_tensor_parameter_329: name = "parameter_329" + original_name = "batch_norm2d_2.w_0" shape = [16] dtype = "float32" min_val = float("0") @@ -3498,6 +3828,7 @@ class Program_weight_tensor_parameter_329: class Program_weight_tensor_parameter_330: name = "parameter_330" + original_name = "batch_norm2d_2.w_2" shape = [16] dtype = "float32" min_val = float("0") @@ -3507,6 +3838,7 @@ class Program_weight_tensor_parameter_330: class Program_weight_tensor_parameter_331: name = "parameter_331" + original_name = "batch_norm2d_2.w_1" shape = [16] dtype = "float32" min_val = float("0") @@ -3516,6 +3848,7 @@ class Program_weight_tensor_parameter_331: class Program_weight_tensor_parameter_332: name = "parameter_332" + original_name = "conv2d_2.w_0" shape = [16, 16, 1, 1] dtype = "float32" min_val = float("-1.83577") @@ -3527,6 +3860,7 @@ class Program_weight_tensor_parameter_332: class Program_weight_tensor_parameter_333: name = "parameter_333" + original_name = "batch_norm2d_1.b_0" shape = [16] dtype = "float32" min_val = float("0") @@ -3536,6 +3870,7 @@ class Program_weight_tensor_parameter_333: class Program_weight_tensor_parameter_334: name = "parameter_334" + original_name = "batch_norm2d_1.w_0" shape = [16] dtype = "float32" min_val = float("0") @@ -3545,6 +3880,7 @@ class Program_weight_tensor_parameter_334: class Program_weight_tensor_parameter_335: name = "parameter_335" + original_name = "batch_norm2d_1.w_2" shape = [16] dtype = "float32" min_val = float("0") @@ -3554,6 +3890,7 @@ class Program_weight_tensor_parameter_335: class Program_weight_tensor_parameter_336: name = "parameter_336" + original_name = "batch_norm2d_1.w_1" shape = [16] dtype = "float32" min_val = float("0") @@ -3563,6 +3900,7 @@ class Program_weight_tensor_parameter_336: class Program_weight_tensor_parameter_337: name = "parameter_337" + original_name = "conv2d_1.w_0" shape = [16, 1, 3, 3] dtype = "float32" min_val = float("-2.52589") @@ -3574,6 +3912,7 @@ class Program_weight_tensor_parameter_337: class Program_weight_tensor_parameter_338: name = "parameter_338" + original_name = "batch_norm2d_0.b_0" shape = [16] dtype = "float32" min_val = float("0") @@ -3583,6 +3922,7 @@ class Program_weight_tensor_parameter_338: class Program_weight_tensor_parameter_339: name = "parameter_339" + original_name = "batch_norm2d_0.w_0" shape = [16] dtype = "float32" min_val = float("0") @@ -3592,6 +3932,7 @@ class Program_weight_tensor_parameter_339: class Program_weight_tensor_parameter_340: name = "parameter_340" + original_name = "batch_norm2d_0.w_2" shape = [16] dtype = "float32" min_val = float("0") @@ -3601,6 +3942,7 @@ class Program_weight_tensor_parameter_340: class Program_weight_tensor_parameter_341: name = "parameter_341" + original_name = "batch_norm2d_0.w_1" shape = [16] dtype = "float32" min_val = float("0") @@ -3610,6 +3952,7 @@ class Program_weight_tensor_parameter_341: class Program_weight_tensor_parameter_342: name = "parameter_342" + original_name = "conv2d_0.w_0" shape = [16, 3, 3, 3] dtype = "float32" min_val = float("-2.52696") diff --git a/paddle_samples/PaddleX/StarNet-S2/subgraph_1/input_meta.py b/paddle_samples/PaddleX/StarNet-S2/subgraph_1/input_meta.py index a63c938ad..b5633e9b0 100644 --- a/paddle_samples/PaddleX/StarNet-S2/subgraph_1/input_meta.py +++ b/paddle_samples/PaddleX/StarNet-S2/subgraph_1/input_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_data_0: name = "data_0" + original_name = "var_197" shape = [124, 3, 224, 224] dtype = "float32" min_val = float("-5.18906") diff --git a/paddle_samples/PaddleX/StarNet-S2/subgraph_1/weight_meta.py b/paddle_samples/PaddleX/StarNet-S2/subgraph_1/weight_meta.py index 4d6bd175e..c949b0ab2 100644 --- a/paddle_samples/PaddleX/StarNet-S2/subgraph_1/weight_meta.py +++ b/paddle_samples/PaddleX/StarNet-S2/subgraph_1/weight_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_parameter_0: name = "parameter_0" + original_name = "linear_0.b_0" shape = [102] dtype = "float32" min_val = float("-0.00233931") @@ -11,6 +12,7 @@ class Program_weight_tensor_parameter_0: class Program_weight_tensor_parameter_1: name = "parameter_1" + original_name = "linear_0.w_0" shape = [256, 102] dtype = "float32" min_val = float("-0.132036") @@ -22,6 +24,7 @@ class Program_weight_tensor_parameter_1: class Program_weight_tensor_parameter_2: name = "parameter_2" + original_name = "batch_norm2d_27.b_0" shape = [256] dtype = "float32" min_val = float("-0.0878273") @@ -33,6 +36,7 @@ class Program_weight_tensor_parameter_2: class Program_weight_tensor_parameter_3: name = "parameter_3" + original_name = "batch_norm2d_27.w_0" shape = [256] dtype = "float32" min_val = float("1.0058") @@ -44,6 +48,7 @@ class Program_weight_tensor_parameter_3: class Program_weight_tensor_parameter_4: name = "parameter_4" + original_name = "batch_norm2d_27.w_2" shape = [256] dtype = "float32" min_val = float("1.06077") @@ -55,6 +60,7 @@ class Program_weight_tensor_parameter_4: class Program_weight_tensor_parameter_5: name = "parameter_5" + original_name = "batch_norm2d_27.w_1" shape = [256] dtype = "float32" min_val = float("-1.23049") @@ -66,6 +72,7 @@ class Program_weight_tensor_parameter_5: class Program_weight_tensor_parameter_6: name = "parameter_6" + original_name = "conv2d_59.b_0" shape = [256] dtype = "float32" min_val = float("-0.908746") @@ -77,6 +84,7 @@ class Program_weight_tensor_parameter_6: class Program_weight_tensor_parameter_7: name = "parameter_7" + original_name = "conv2d_59.w_0" shape = [256, 1, 7, 7] dtype = "float32" min_val = float("-0.336553") @@ -88,6 +96,7 @@ class Program_weight_tensor_parameter_7: class Program_weight_tensor_parameter_8: name = "parameter_8" + original_name = "batch_norm2d_26.b_0" shape = [256] dtype = "float32" min_val = float("-0.514132") @@ -99,6 +108,7 @@ class Program_weight_tensor_parameter_8: class Program_weight_tensor_parameter_9: name = "parameter_9" + original_name = "batch_norm2d_26.w_0" shape = [256] dtype = "float32" min_val = float("0.714781") @@ -110,6 +120,7 @@ class Program_weight_tensor_parameter_9: class Program_weight_tensor_parameter_10: name = "parameter_10" + original_name = "batch_norm2d_26.w_2" shape = [256] dtype = "float32" min_val = float("10.1869") @@ -121,6 +132,7 @@ class Program_weight_tensor_parameter_10: class Program_weight_tensor_parameter_11: name = "parameter_11" + original_name = "batch_norm2d_26.w_1" shape = [256] dtype = "float32" min_val = float("-0.511038") @@ -132,6 +144,7 @@ class Program_weight_tensor_parameter_11: class Program_weight_tensor_parameter_12: name = "parameter_12" + original_name = "conv2d_58.b_0" shape = [256] dtype = "float32" min_val = float("-0.0338517") @@ -143,6 +156,7 @@ class Program_weight_tensor_parameter_12: class Program_weight_tensor_parameter_13: name = "parameter_13" + original_name = "conv2d_58.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.369144") @@ -154,6 +168,7 @@ class Program_weight_tensor_parameter_13: class Program_weight_tensor_parameter_14: name = "parameter_14" + original_name = "conv2d_57.b_0" shape = [1024] dtype = "float32" min_val = float("-2.79521") @@ -165,6 +180,7 @@ class Program_weight_tensor_parameter_14: class Program_weight_tensor_parameter_15: name = "parameter_15" + original_name = "conv2d_57.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.422909") @@ -176,6 +192,7 @@ class Program_weight_tensor_parameter_15: class Program_weight_tensor_parameter_16: name = "parameter_16" + original_name = "conv2d_56.b_0" shape = [1024] dtype = "float32" min_val = float("-4.61809") @@ -187,6 +204,7 @@ class Program_weight_tensor_parameter_16: class Program_weight_tensor_parameter_17: name = "parameter_17" + original_name = "conv2d_56.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.624475") @@ -198,6 +216,7 @@ class Program_weight_tensor_parameter_17: class Program_weight_tensor_parameter_18: name = "parameter_18" + original_name = "batch_norm2d_25.b_0" shape = [256] dtype = "float32" min_val = float("-0.445868") @@ -209,6 +228,7 @@ class Program_weight_tensor_parameter_18: class Program_weight_tensor_parameter_19: name = "parameter_19" + original_name = "batch_norm2d_25.w_0" shape = [256] dtype = "float32" min_val = float("0.651284") @@ -220,6 +240,7 @@ class Program_weight_tensor_parameter_19: class Program_weight_tensor_parameter_20: name = "parameter_20" + original_name = "batch_norm2d_25.w_2" shape = [256] dtype = "float32" min_val = float("0.16308") @@ -231,6 +252,7 @@ class Program_weight_tensor_parameter_20: class Program_weight_tensor_parameter_21: name = "parameter_21" + original_name = "batch_norm2d_25.w_1" shape = [256] dtype = "float32" min_val = float("-1.54971") @@ -242,6 +264,7 @@ class Program_weight_tensor_parameter_21: class Program_weight_tensor_parameter_22: name = "parameter_22" + original_name = "conv2d_55.b_0" shape = [256] dtype = "float32" min_val = float("-0.140657") @@ -253,6 +276,7 @@ class Program_weight_tensor_parameter_22: class Program_weight_tensor_parameter_23: name = "parameter_23" + original_name = "conv2d_55.w_0" shape = [256, 1, 7, 7] dtype = "float32" min_val = float("-1.24917") @@ -264,6 +288,7 @@ class Program_weight_tensor_parameter_23: class Program_weight_tensor_parameter_24: name = "parameter_24" + original_name = "conv2d_54.b_0" shape = [256] dtype = "float32" min_val = float("-1.86511") @@ -275,6 +300,7 @@ class Program_weight_tensor_parameter_24: class Program_weight_tensor_parameter_25: name = "parameter_25" + original_name = "conv2d_54.w_0" shape = [256, 1, 7, 7] dtype = "float32" min_val = float("-0.434331") @@ -286,6 +312,7 @@ class Program_weight_tensor_parameter_25: class Program_weight_tensor_parameter_26: name = "parameter_26" + original_name = "batch_norm2d_24.b_0" shape = [256] dtype = "float32" min_val = float("-0.740494") @@ -297,6 +324,7 @@ class Program_weight_tensor_parameter_26: class Program_weight_tensor_parameter_27: name = "parameter_27" + original_name = "batch_norm2d_24.w_0" shape = [256] dtype = "float32" min_val = float("0.582338") @@ -308,6 +336,7 @@ class Program_weight_tensor_parameter_27: class Program_weight_tensor_parameter_28: name = "parameter_28" + original_name = "batch_norm2d_24.w_2" shape = [256] dtype = "float32" min_val = float("0.237891") @@ -319,6 +348,7 @@ class Program_weight_tensor_parameter_28: class Program_weight_tensor_parameter_29: name = "parameter_29" + original_name = "batch_norm2d_24.w_1" shape = [256] dtype = "float32" min_val = float("-0.353966") @@ -330,6 +360,7 @@ class Program_weight_tensor_parameter_29: class Program_weight_tensor_parameter_30: name = "parameter_30" + original_name = "conv2d_53.b_0" shape = [256] dtype = "float32" min_val = float("-0.0367665") @@ -341,6 +372,7 @@ class Program_weight_tensor_parameter_30: class Program_weight_tensor_parameter_31: name = "parameter_31" + original_name = "conv2d_53.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.660603") @@ -352,6 +384,7 @@ class Program_weight_tensor_parameter_31: class Program_weight_tensor_parameter_32: name = "parameter_32" + original_name = "conv2d_52.b_0" shape = [1024] dtype = "float32" min_val = float("-2.97243") @@ -363,6 +396,7 @@ class Program_weight_tensor_parameter_32: class Program_weight_tensor_parameter_33: name = "parameter_33" + original_name = "conv2d_52.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.533367") @@ -374,6 +408,7 @@ class Program_weight_tensor_parameter_33: class Program_weight_tensor_parameter_34: name = "parameter_34" + original_name = "conv2d_51.b_0" shape = [1024] dtype = "float32" min_val = float("-3.21651") @@ -385,6 +420,7 @@ class Program_weight_tensor_parameter_34: class Program_weight_tensor_parameter_35: name = "parameter_35" + original_name = "conv2d_51.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.679708") @@ -396,6 +432,7 @@ class Program_weight_tensor_parameter_35: class Program_weight_tensor_parameter_36: name = "parameter_36" + original_name = "batch_norm2d_23.b_0" shape = [256] dtype = "float32" min_val = float("-0.384991") @@ -407,6 +444,7 @@ class Program_weight_tensor_parameter_36: class Program_weight_tensor_parameter_37: name = "parameter_37" + original_name = "batch_norm2d_23.w_0" shape = [256] dtype = "float32" min_val = float("0.296544") @@ -418,6 +456,7 @@ class Program_weight_tensor_parameter_37: class Program_weight_tensor_parameter_38: name = "parameter_38" + original_name = "batch_norm2d_23.w_2" shape = [256] dtype = "float32" min_val = float("0.00184919") @@ -429,6 +468,7 @@ class Program_weight_tensor_parameter_38: class Program_weight_tensor_parameter_39: name = "parameter_39" + original_name = "batch_norm2d_23.w_1" shape = [256] dtype = "float32" min_val = float("-1.53622") @@ -440,6 +480,7 @@ class Program_weight_tensor_parameter_39: class Program_weight_tensor_parameter_40: name = "parameter_40" + original_name = "conv2d_50.b_0" shape = [256] dtype = "float32" min_val = float("-0.148166") @@ -451,6 +492,7 @@ class Program_weight_tensor_parameter_40: class Program_weight_tensor_parameter_41: name = "parameter_41" + original_name = "conv2d_50.w_0" shape = [256, 1, 7, 7] dtype = "float32" min_val = float("-1.16219") @@ -462,6 +504,7 @@ class Program_weight_tensor_parameter_41: class Program_weight_tensor_parameter_42: name = "parameter_42" + original_name = "batch_norm2d_22.b_0" shape = [256] dtype = "float32" min_val = float("-1.1428") @@ -473,6 +516,7 @@ class Program_weight_tensor_parameter_42: class Program_weight_tensor_parameter_43: name = "parameter_43" + original_name = "batch_norm2d_22.w_0" shape = [256] dtype = "float32" min_val = float("0.1121") @@ -484,6 +528,7 @@ class Program_weight_tensor_parameter_43: class Program_weight_tensor_parameter_44: name = "parameter_44" + original_name = "batch_norm2d_22.w_2" shape = [256] dtype = "float32" min_val = float("178.346") @@ -495,6 +540,7 @@ class Program_weight_tensor_parameter_44: class Program_weight_tensor_parameter_45: name = "parameter_45" + original_name = "batch_norm2d_22.w_1" shape = [256] dtype = "float32" min_val = float("-28.5218") @@ -506,6 +552,7 @@ class Program_weight_tensor_parameter_45: class Program_weight_tensor_parameter_46: name = "parameter_46" + original_name = "conv2d_49.b_0" shape = [256] dtype = "float32" min_val = float("-0.0292519") @@ -517,6 +564,7 @@ class Program_weight_tensor_parameter_46: class Program_weight_tensor_parameter_47: name = "parameter_47" + original_name = "conv2d_49.w_0" shape = [256, 128, 3, 3] dtype = "float32" min_val = float("-0.834351") @@ -528,6 +576,7 @@ class Program_weight_tensor_parameter_47: class Program_weight_tensor_parameter_48: name = "parameter_48" + original_name = "conv2d_48.b_0" shape = [128] dtype = "float32" min_val = float("-0.835992") @@ -539,6 +588,7 @@ class Program_weight_tensor_parameter_48: class Program_weight_tensor_parameter_49: name = "parameter_49" + original_name = "conv2d_48.w_0" shape = [128, 1, 7, 7] dtype = "float32" min_val = float("-0.403569") @@ -550,6 +600,7 @@ class Program_weight_tensor_parameter_49: class Program_weight_tensor_parameter_50: name = "parameter_50" + original_name = "batch_norm2d_21.b_0" shape = [128] dtype = "float32" min_val = float("-0.740669") @@ -561,6 +612,7 @@ class Program_weight_tensor_parameter_50: class Program_weight_tensor_parameter_51: name = "parameter_51" + original_name = "batch_norm2d_21.w_0" shape = [128] dtype = "float32" min_val = float("0.67716") @@ -572,6 +624,7 @@ class Program_weight_tensor_parameter_51: class Program_weight_tensor_parameter_52: name = "parameter_52" + original_name = "batch_norm2d_21.w_2" shape = [128] dtype = "float32" min_val = float("2.18299") @@ -583,6 +636,7 @@ class Program_weight_tensor_parameter_52: class Program_weight_tensor_parameter_53: name = "parameter_53" + original_name = "batch_norm2d_21.w_1" shape = [128] dtype = "float32" min_val = float("-1.80159") @@ -594,6 +648,7 @@ class Program_weight_tensor_parameter_53: class Program_weight_tensor_parameter_54: name = "parameter_54" + original_name = "conv2d_47.b_0" shape = [128] dtype = "float32" min_val = float("-0.0444162") @@ -605,6 +660,7 @@ class Program_weight_tensor_parameter_54: class Program_weight_tensor_parameter_55: name = "parameter_55" + original_name = "conv2d_47.w_0" shape = [128, 512, 1, 1] dtype = "float32" min_val = float("-0.915283") @@ -616,6 +672,7 @@ class Program_weight_tensor_parameter_55: class Program_weight_tensor_parameter_56: name = "parameter_56" + original_name = "conv2d_46.b_0" shape = [512] dtype = "float32" min_val = float("-3.56282") @@ -627,6 +684,7 @@ class Program_weight_tensor_parameter_56: class Program_weight_tensor_parameter_57: name = "parameter_57" + original_name = "conv2d_46.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.495574") @@ -638,6 +696,7 @@ class Program_weight_tensor_parameter_57: class Program_weight_tensor_parameter_58: name = "parameter_58" + original_name = "conv2d_45.b_0" shape = [512] dtype = "float32" min_val = float("-4.168") @@ -649,6 +708,7 @@ class Program_weight_tensor_parameter_58: class Program_weight_tensor_parameter_59: name = "parameter_59" + original_name = "conv2d_45.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.547667") @@ -660,6 +720,7 @@ class Program_weight_tensor_parameter_59: class Program_weight_tensor_parameter_60: name = "parameter_60" + original_name = "batch_norm2d_20.b_0" shape = [128] dtype = "float32" min_val = float("-1.84318") @@ -671,6 +732,7 @@ class Program_weight_tensor_parameter_60: class Program_weight_tensor_parameter_61: name = "parameter_61" + original_name = "batch_norm2d_20.w_0" shape = [128] dtype = "float32" min_val = float("0.79951") @@ -682,6 +744,7 @@ class Program_weight_tensor_parameter_61: class Program_weight_tensor_parameter_62: name = "parameter_62" + original_name = "batch_norm2d_20.w_2" shape = [128] dtype = "float32" min_val = float("0.251798") @@ -693,6 +756,7 @@ class Program_weight_tensor_parameter_62: class Program_weight_tensor_parameter_63: name = "parameter_63" + original_name = "batch_norm2d_20.w_1" shape = [128] dtype = "float32" min_val = float("-4.97195") @@ -704,6 +768,7 @@ class Program_weight_tensor_parameter_63: class Program_weight_tensor_parameter_64: name = "parameter_64" + original_name = "conv2d_44.b_0" shape = [128] dtype = "float32" min_val = float("-0.150097") @@ -715,6 +780,7 @@ class Program_weight_tensor_parameter_64: class Program_weight_tensor_parameter_65: name = "parameter_65" + original_name = "conv2d_44.w_0" shape = [128, 1, 7, 7] dtype = "float32" min_val = float("-1.15659") @@ -726,6 +792,7 @@ class Program_weight_tensor_parameter_65: class Program_weight_tensor_parameter_66: name = "parameter_66" + original_name = "conv2d_43.b_0" shape = [128] dtype = "float32" min_val = float("-2.71152") @@ -737,6 +804,7 @@ class Program_weight_tensor_parameter_66: class Program_weight_tensor_parameter_67: name = "parameter_67" + original_name = "conv2d_43.w_0" shape = [128, 1, 7, 7] dtype = "float32" min_val = float("-0.424465") @@ -748,6 +816,7 @@ class Program_weight_tensor_parameter_67: class Program_weight_tensor_parameter_68: name = "parameter_68" + original_name = "batch_norm2d_19.b_0" shape = [128] dtype = "float32" min_val = float("-1.08382") @@ -759,6 +828,7 @@ class Program_weight_tensor_parameter_68: class Program_weight_tensor_parameter_69: name = "parameter_69" + original_name = "batch_norm2d_19.w_0" shape = [128] dtype = "float32" min_val = float("0.744099") @@ -770,6 +840,7 @@ class Program_weight_tensor_parameter_69: class Program_weight_tensor_parameter_70: name = "parameter_70" + original_name = "batch_norm2d_19.w_2" shape = [128] dtype = "float32" min_val = float("0.585264") @@ -781,6 +852,7 @@ class Program_weight_tensor_parameter_70: class Program_weight_tensor_parameter_71: name = "parameter_71" + original_name = "batch_norm2d_19.w_1" shape = [128] dtype = "float32" min_val = float("-0.246574") @@ -792,6 +864,7 @@ class Program_weight_tensor_parameter_71: class Program_weight_tensor_parameter_72: name = "parameter_72" + original_name = "conv2d_42.b_0" shape = [128] dtype = "float32" min_val = float("-0.0439543") @@ -803,6 +876,7 @@ class Program_weight_tensor_parameter_72: class Program_weight_tensor_parameter_73: name = "parameter_73" + original_name = "conv2d_42.w_0" shape = [128, 512, 1, 1] dtype = "float32" min_val = float("-0.59657") @@ -814,6 +888,7 @@ class Program_weight_tensor_parameter_73: class Program_weight_tensor_parameter_74: name = "parameter_74" + original_name = "conv2d_41.b_0" shape = [512] dtype = "float32" min_val = float("-2.01386") @@ -825,6 +900,7 @@ class Program_weight_tensor_parameter_74: class Program_weight_tensor_parameter_75: name = "parameter_75" + original_name = "conv2d_41.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.578804") @@ -836,6 +912,7 @@ class Program_weight_tensor_parameter_75: class Program_weight_tensor_parameter_76: name = "parameter_76" + original_name = "conv2d_40.b_0" shape = [512] dtype = "float32" min_val = float("-3.51683") @@ -847,6 +924,7 @@ class Program_weight_tensor_parameter_76: class Program_weight_tensor_parameter_77: name = "parameter_77" + original_name = "conv2d_40.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.905559") @@ -858,6 +936,7 @@ class Program_weight_tensor_parameter_77: class Program_weight_tensor_parameter_78: name = "parameter_78" + original_name = "batch_norm2d_18.b_0" shape = [128] dtype = "float32" min_val = float("-0.597058") @@ -869,6 +948,7 @@ class Program_weight_tensor_parameter_78: class Program_weight_tensor_parameter_79: name = "parameter_79" + original_name = "batch_norm2d_18.w_0" shape = [128] dtype = "float32" min_val = float("0.322838") @@ -880,6 +960,7 @@ class Program_weight_tensor_parameter_79: class Program_weight_tensor_parameter_80: name = "parameter_80" + original_name = "batch_norm2d_18.w_2" shape = [128] dtype = "float32" min_val = float("0.0106017") @@ -891,6 +972,7 @@ class Program_weight_tensor_parameter_80: class Program_weight_tensor_parameter_81: name = "parameter_81" + original_name = "batch_norm2d_18.w_1" shape = [128] dtype = "float32" min_val = float("-4.7409") @@ -902,6 +984,7 @@ class Program_weight_tensor_parameter_81: class Program_weight_tensor_parameter_82: name = "parameter_82" + original_name = "conv2d_39.b_0" shape = [128] dtype = "float32" min_val = float("-0.152566") @@ -913,6 +996,7 @@ class Program_weight_tensor_parameter_82: class Program_weight_tensor_parameter_83: name = "parameter_83" + original_name = "conv2d_39.w_0" shape = [128, 1, 7, 7] dtype = "float32" min_val = float("-1.23439") @@ -924,6 +1008,7 @@ class Program_weight_tensor_parameter_83: class Program_weight_tensor_parameter_84: name = "parameter_84" + original_name = "conv2d_38.b_0" shape = [128] dtype = "float32" min_val = float("-1.73719") @@ -935,6 +1020,7 @@ class Program_weight_tensor_parameter_84: class Program_weight_tensor_parameter_85: name = "parameter_85" + original_name = "conv2d_38.w_0" shape = [128, 1, 7, 7] dtype = "float32" min_val = float("-0.591918") @@ -946,6 +1032,7 @@ class Program_weight_tensor_parameter_85: class Program_weight_tensor_parameter_86: name = "parameter_86" + original_name = "batch_norm2d_17.b_0" shape = [128] dtype = "float32" min_val = float("-1.37839") @@ -957,6 +1044,7 @@ class Program_weight_tensor_parameter_86: class Program_weight_tensor_parameter_87: name = "parameter_87" + original_name = "batch_norm2d_17.w_0" shape = [128] dtype = "float32" min_val = float("0.244617") @@ -968,6 +1056,7 @@ class Program_weight_tensor_parameter_87: class Program_weight_tensor_parameter_88: name = "parameter_88" + original_name = "batch_norm2d_17.w_2" shape = [128] dtype = "float32" min_val = float("3.40967") @@ -979,6 +1068,7 @@ class Program_weight_tensor_parameter_88: class Program_weight_tensor_parameter_89: name = "parameter_89" + original_name = "batch_norm2d_17.w_1" shape = [128] dtype = "float32" min_val = float("-1.52641") @@ -990,6 +1080,7 @@ class Program_weight_tensor_parameter_89: class Program_weight_tensor_parameter_90: name = "parameter_90" + original_name = "conv2d_37.b_0" shape = [128] dtype = "float32" min_val = float("-0.0515101") @@ -1001,6 +1092,7 @@ class Program_weight_tensor_parameter_90: class Program_weight_tensor_parameter_91: name = "parameter_91" + original_name = "conv2d_37.w_0" shape = [128, 512, 1, 1] dtype = "float32" min_val = float("-0.778381") @@ -1012,6 +1104,7 @@ class Program_weight_tensor_parameter_91: class Program_weight_tensor_parameter_92: name = "parameter_92" + original_name = "conv2d_36.b_0" shape = [512] dtype = "float32" min_val = float("-4.41659") @@ -1023,6 +1116,7 @@ class Program_weight_tensor_parameter_92: class Program_weight_tensor_parameter_93: name = "parameter_93" + original_name = "conv2d_36.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.625329") @@ -1034,6 +1128,7 @@ class Program_weight_tensor_parameter_93: class Program_weight_tensor_parameter_94: name = "parameter_94" + original_name = "conv2d_35.b_0" shape = [512] dtype = "float32" min_val = float("-4.42537") @@ -1045,6 +1140,7 @@ class Program_weight_tensor_parameter_94: class Program_weight_tensor_parameter_95: name = "parameter_95" + original_name = "conv2d_35.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.74207") @@ -1056,6 +1152,7 @@ class Program_weight_tensor_parameter_95: class Program_weight_tensor_parameter_96: name = "parameter_96" + original_name = "batch_norm2d_16.b_0" shape = [128] dtype = "float32" min_val = float("-0.726014") @@ -1067,6 +1164,7 @@ class Program_weight_tensor_parameter_96: class Program_weight_tensor_parameter_97: name = "parameter_97" + original_name = "batch_norm2d_16.w_0" shape = [128] dtype = "float32" min_val = float("1.00134") @@ -1078,6 +1176,7 @@ class Program_weight_tensor_parameter_97: class Program_weight_tensor_parameter_98: name = "parameter_98" + original_name = "batch_norm2d_16.w_2" shape = [128] dtype = "float32" min_val = float("0.0164105") @@ -1089,6 +1188,7 @@ class Program_weight_tensor_parameter_98: class Program_weight_tensor_parameter_99: name = "parameter_99" + original_name = "batch_norm2d_16.w_1" shape = [128] dtype = "float32" min_val = float("-3.54612") @@ -1100,6 +1200,7 @@ class Program_weight_tensor_parameter_99: class Program_weight_tensor_parameter_100: name = "parameter_100" + original_name = "conv2d_34.b_0" shape = [128] dtype = "float32" min_val = float("-0.142311") @@ -1111,6 +1212,7 @@ class Program_weight_tensor_parameter_100: class Program_weight_tensor_parameter_101: name = "parameter_101" + original_name = "conv2d_34.w_0" shape = [128, 1, 7, 7] dtype = "float32" min_val = float("-1.71507") @@ -1122,6 +1224,7 @@ class Program_weight_tensor_parameter_101: class Program_weight_tensor_parameter_102: name = "parameter_102" + original_name = "conv2d_33.b_0" shape = [128] dtype = "float32" min_val = float("-1.65373") @@ -1133,6 +1236,7 @@ class Program_weight_tensor_parameter_102: class Program_weight_tensor_parameter_103: name = "parameter_103" + original_name = "conv2d_33.w_0" shape = [128, 1, 7, 7] dtype = "float32" min_val = float("-0.524429") @@ -1144,6 +1248,7 @@ class Program_weight_tensor_parameter_103: class Program_weight_tensor_parameter_104: name = "parameter_104" + original_name = "batch_norm2d_15.b_0" shape = [128] dtype = "float32" min_val = float("-0.658526") @@ -1155,6 +1260,7 @@ class Program_weight_tensor_parameter_104: class Program_weight_tensor_parameter_105: name = "parameter_105" + original_name = "batch_norm2d_15.w_0" shape = [128] dtype = "float32" min_val = float("0.117359") @@ -1166,6 +1272,7 @@ class Program_weight_tensor_parameter_105: class Program_weight_tensor_parameter_106: name = "parameter_106" + original_name = "batch_norm2d_15.w_2" shape = [128] dtype = "float32" min_val = float("3.40517") @@ -1177,6 +1284,7 @@ class Program_weight_tensor_parameter_106: class Program_weight_tensor_parameter_107: name = "parameter_107" + original_name = "batch_norm2d_15.w_1" shape = [128] dtype = "float32" min_val = float("-2.94718") @@ -1188,6 +1296,7 @@ class Program_weight_tensor_parameter_107: class Program_weight_tensor_parameter_108: name = "parameter_108" + original_name = "conv2d_32.b_0" shape = [128] dtype = "float32" min_val = float("-0.0441185") @@ -1199,6 +1308,7 @@ class Program_weight_tensor_parameter_108: class Program_weight_tensor_parameter_109: name = "parameter_109" + original_name = "conv2d_32.w_0" shape = [128, 512, 1, 1] dtype = "float32" min_val = float("-0.611755") @@ -1210,6 +1320,7 @@ class Program_weight_tensor_parameter_109: class Program_weight_tensor_parameter_110: name = "parameter_110" + original_name = "conv2d_31.b_0" shape = [512] dtype = "float32" min_val = float("-3.9848") @@ -1221,6 +1332,7 @@ class Program_weight_tensor_parameter_110: class Program_weight_tensor_parameter_111: name = "parameter_111" + original_name = "conv2d_31.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.65656") @@ -1232,6 +1344,7 @@ class Program_weight_tensor_parameter_111: class Program_weight_tensor_parameter_112: name = "parameter_112" + original_name = "conv2d_30.b_0" shape = [512] dtype = "float32" min_val = float("-3.92676") @@ -1243,6 +1356,7 @@ class Program_weight_tensor_parameter_112: class Program_weight_tensor_parameter_113: name = "parameter_113" + original_name = "conv2d_30.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.839348") @@ -1254,6 +1368,7 @@ class Program_weight_tensor_parameter_113: class Program_weight_tensor_parameter_114: name = "parameter_114" + original_name = "batch_norm2d_14.b_0" shape = [128] dtype = "float32" min_val = float("-0.862711") @@ -1265,6 +1380,7 @@ class Program_weight_tensor_parameter_114: class Program_weight_tensor_parameter_115: name = "parameter_115" + original_name = "batch_norm2d_14.w_0" shape = [128] dtype = "float32" min_val = float("1.14891") @@ -1276,6 +1392,7 @@ class Program_weight_tensor_parameter_115: class Program_weight_tensor_parameter_116: name = "parameter_116" + original_name = "batch_norm2d_14.w_2" shape = [128] dtype = "float32" min_val = float("0.000901697") @@ -1287,6 +1404,7 @@ class Program_weight_tensor_parameter_116: class Program_weight_tensor_parameter_117: name = "parameter_117" + original_name = "batch_norm2d_14.w_1" shape = [128] dtype = "float32" min_val = float("-1.96333") @@ -1298,6 +1416,7 @@ class Program_weight_tensor_parameter_117: class Program_weight_tensor_parameter_118: name = "parameter_118" + original_name = "conv2d_29.b_0" shape = [128] dtype = "float32" min_val = float("-0.153374") @@ -1309,6 +1428,7 @@ class Program_weight_tensor_parameter_118: class Program_weight_tensor_parameter_119: name = "parameter_119" + original_name = "conv2d_29.w_0" shape = [128, 1, 7, 7] dtype = "float32" min_val = float("-0.788707") @@ -1320,6 +1440,7 @@ class Program_weight_tensor_parameter_119: class Program_weight_tensor_parameter_120: name = "parameter_120" + original_name = "conv2d_28.b_0" shape = [128] dtype = "float32" min_val = float("-2.61781") @@ -1331,6 +1452,7 @@ class Program_weight_tensor_parameter_120: class Program_weight_tensor_parameter_121: name = "parameter_121" + original_name = "conv2d_28.w_0" shape = [128, 1, 7, 7] dtype = "float32" min_val = float("-0.542714") @@ -1342,6 +1464,7 @@ class Program_weight_tensor_parameter_121: class Program_weight_tensor_parameter_122: name = "parameter_122" + original_name = "batch_norm2d_13.b_0" shape = [128] dtype = "float32" min_val = float("-1.49443") @@ -1353,6 +1476,7 @@ class Program_weight_tensor_parameter_122: class Program_weight_tensor_parameter_123: name = "parameter_123" + original_name = "batch_norm2d_13.w_0" shape = [128] dtype = "float32" min_val = float("0.0700347") @@ -1364,6 +1488,7 @@ class Program_weight_tensor_parameter_123: class Program_weight_tensor_parameter_124: name = "parameter_124" + original_name = "batch_norm2d_13.w_2" shape = [128] dtype = "float32" min_val = float("3.91169") @@ -1375,6 +1500,7 @@ class Program_weight_tensor_parameter_124: class Program_weight_tensor_parameter_125: name = "parameter_125" + original_name = "batch_norm2d_13.w_1" shape = [128] dtype = "float32" min_val = float("-1.74765") @@ -1386,6 +1512,7 @@ class Program_weight_tensor_parameter_125: class Program_weight_tensor_parameter_126: name = "parameter_126" + original_name = "conv2d_27.b_0" shape = [128] dtype = "float32" min_val = float("-0.0522467") @@ -1397,6 +1524,7 @@ class Program_weight_tensor_parameter_126: class Program_weight_tensor_parameter_127: name = "parameter_127" + original_name = "conv2d_27.w_0" shape = [128, 512, 1, 1] dtype = "float32" min_val = float("-0.757348") @@ -1408,6 +1536,7 @@ class Program_weight_tensor_parameter_127: class Program_weight_tensor_parameter_128: name = "parameter_128" + original_name = "conv2d_26.b_0" shape = [512] dtype = "float32" min_val = float("-6.60289") @@ -1419,6 +1548,7 @@ class Program_weight_tensor_parameter_128: class Program_weight_tensor_parameter_129: name = "parameter_129" + original_name = "conv2d_26.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.738971") @@ -1430,6 +1560,7 @@ class Program_weight_tensor_parameter_129: class Program_weight_tensor_parameter_130: name = "parameter_130" + original_name = "conv2d_25.b_0" shape = [512] dtype = "float32" min_val = float("-4.05918") @@ -1441,6 +1572,7 @@ class Program_weight_tensor_parameter_130: class Program_weight_tensor_parameter_131: name = "parameter_131" + original_name = "conv2d_25.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.967555") @@ -1452,6 +1584,7 @@ class Program_weight_tensor_parameter_131: class Program_weight_tensor_parameter_132: name = "parameter_132" + original_name = "batch_norm2d_12.b_0" shape = [128] dtype = "float32" min_val = float("-0.635508") @@ -1463,6 +1596,7 @@ class Program_weight_tensor_parameter_132: class Program_weight_tensor_parameter_133: name = "parameter_133" + original_name = "batch_norm2d_12.w_0" shape = [128] dtype = "float32" min_val = float("0.91248") @@ -1474,6 +1608,7 @@ class Program_weight_tensor_parameter_133: class Program_weight_tensor_parameter_134: name = "parameter_134" + original_name = "batch_norm2d_12.w_2" shape = [128] dtype = "float32" min_val = float("6.84357e-05") @@ -1485,6 +1620,7 @@ class Program_weight_tensor_parameter_134: class Program_weight_tensor_parameter_135: name = "parameter_135" + original_name = "batch_norm2d_12.w_1" shape = [128] dtype = "float32" min_val = float("-3.99446") @@ -1496,6 +1632,7 @@ class Program_weight_tensor_parameter_135: class Program_weight_tensor_parameter_136: name = "parameter_136" + original_name = "conv2d_24.b_0" shape = [128] dtype = "float32" min_val = float("-0.245245") @@ -1507,6 +1644,7 @@ class Program_weight_tensor_parameter_136: class Program_weight_tensor_parameter_137: name = "parameter_137" + original_name = "conv2d_24.w_0" shape = [128, 1, 7, 7] dtype = "float32" min_val = float("-1.41617") @@ -1518,6 +1656,7 @@ class Program_weight_tensor_parameter_137: class Program_weight_tensor_parameter_138: name = "parameter_138" + original_name = "conv2d_23.b_0" shape = [128] dtype = "float32" min_val = float("-0.815377") @@ -1529,6 +1668,7 @@ class Program_weight_tensor_parameter_138: class Program_weight_tensor_parameter_139: name = "parameter_139" + original_name = "conv2d_23.w_0" shape = [128, 1, 7, 7] dtype = "float32" min_val = float("-1.23056") @@ -1540,6 +1680,7 @@ class Program_weight_tensor_parameter_139: class Program_weight_tensor_parameter_140: name = "parameter_140" + original_name = "batch_norm2d_11.b_0" shape = [128] dtype = "float32" min_val = float("-0.522269") @@ -1551,6 +1692,7 @@ class Program_weight_tensor_parameter_140: class Program_weight_tensor_parameter_141: name = "parameter_141" + original_name = "batch_norm2d_11.w_0" shape = [128] dtype = "float32" min_val = float("0.0245394") @@ -1562,6 +1704,7 @@ class Program_weight_tensor_parameter_141: class Program_weight_tensor_parameter_142: name = "parameter_142" + original_name = "batch_norm2d_11.w_2" shape = [128] dtype = "float32" min_val = float("4.87278") @@ -1573,6 +1716,7 @@ class Program_weight_tensor_parameter_142: class Program_weight_tensor_parameter_143: name = "parameter_143" + original_name = "batch_norm2d_11.w_1" shape = [128] dtype = "float32" min_val = float("-2.94185") @@ -1584,6 +1728,7 @@ class Program_weight_tensor_parameter_143: class Program_weight_tensor_parameter_144: name = "parameter_144" + original_name = "conv2d_22.b_0" shape = [128] dtype = "float32" min_val = float("-0.0447659") @@ -1595,6 +1740,7 @@ class Program_weight_tensor_parameter_144: class Program_weight_tensor_parameter_145: name = "parameter_145" + original_name = "conv2d_22.w_0" shape = [128, 512, 1, 1] dtype = "float32" min_val = float("-1.27223") @@ -1606,6 +1752,7 @@ class Program_weight_tensor_parameter_145: class Program_weight_tensor_parameter_146: name = "parameter_146" + original_name = "conv2d_21.b_0" shape = [512] dtype = "float32" min_val = float("-4.55436") @@ -1617,6 +1764,7 @@ class Program_weight_tensor_parameter_146: class Program_weight_tensor_parameter_147: name = "parameter_147" + original_name = "conv2d_21.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-1.00472") @@ -1628,6 +1776,7 @@ class Program_weight_tensor_parameter_147: class Program_weight_tensor_parameter_148: name = "parameter_148" + original_name = "conv2d_20.b_0" shape = [512] dtype = "float32" min_val = float("-4.97443") @@ -1639,6 +1788,7 @@ class Program_weight_tensor_parameter_148: class Program_weight_tensor_parameter_149: name = "parameter_149" + original_name = "conv2d_20.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-1.16504") @@ -1650,6 +1800,7 @@ class Program_weight_tensor_parameter_149: class Program_weight_tensor_parameter_150: name = "parameter_150" + original_name = "batch_norm2d_10.b_0" shape = [128] dtype = "float32" min_val = float("-0.648151") @@ -1661,6 +1812,7 @@ class Program_weight_tensor_parameter_150: class Program_weight_tensor_parameter_151: name = "parameter_151" + original_name = "batch_norm2d_10.w_0" shape = [128] dtype = "float32" min_val = float("0.90469") @@ -1672,6 +1824,7 @@ class Program_weight_tensor_parameter_151: class Program_weight_tensor_parameter_152: name = "parameter_152" + original_name = "batch_norm2d_10.w_2" shape = [128] dtype = "float32" min_val = float("1.8788e-05") @@ -1683,6 +1836,7 @@ class Program_weight_tensor_parameter_152: class Program_weight_tensor_parameter_153: name = "parameter_153" + original_name = "batch_norm2d_10.w_1" shape = [128] dtype = "float32" min_val = float("-1.82624") @@ -1694,6 +1848,7 @@ class Program_weight_tensor_parameter_153: class Program_weight_tensor_parameter_154: name = "parameter_154" + original_name = "conv2d_19.b_0" shape = [128] dtype = "float32" min_val = float("-0.298377") @@ -1705,6 +1860,7 @@ class Program_weight_tensor_parameter_154: class Program_weight_tensor_parameter_155: name = "parameter_155" + original_name = "conv2d_19.w_0" shape = [128, 1, 7, 7] dtype = "float32" min_val = float("-1.35766") @@ -1716,6 +1872,7 @@ class Program_weight_tensor_parameter_155: class Program_weight_tensor_parameter_156: name = "parameter_156" + original_name = "batch_norm2d_9.b_0" shape = [128] dtype = "float32" min_val = float("-2.04523") @@ -1727,6 +1884,7 @@ class Program_weight_tensor_parameter_156: class Program_weight_tensor_parameter_157: name = "parameter_157" + original_name = "batch_norm2d_9.w_0" shape = [128] dtype = "float32" min_val = float("0.0035501") @@ -1738,6 +1896,7 @@ class Program_weight_tensor_parameter_157: class Program_weight_tensor_parameter_158: name = "parameter_158" + original_name = "batch_norm2d_9.w_2" shape = [128] dtype = "float32" min_val = float("17.2691") @@ -1749,6 +1908,7 @@ class Program_weight_tensor_parameter_158: class Program_weight_tensor_parameter_159: name = "parameter_159" + original_name = "batch_norm2d_9.w_1" shape = [128] dtype = "float32" min_val = float("-9.96033") @@ -1760,6 +1920,7 @@ class Program_weight_tensor_parameter_159: class Program_weight_tensor_parameter_160: name = "parameter_160" + original_name = "conv2d_18.b_0" shape = [128] dtype = "float32" min_val = float("-0.0453472") @@ -1771,6 +1932,7 @@ class Program_weight_tensor_parameter_160: class Program_weight_tensor_parameter_161: name = "parameter_161" + original_name = "conv2d_18.w_0" shape = [128, 64, 3, 3] dtype = "float32" min_val = float("-0.812689") @@ -1782,6 +1944,7 @@ class Program_weight_tensor_parameter_161: class Program_weight_tensor_parameter_162: name = "parameter_162" + original_name = "conv2d_17.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -1791,6 +1954,7 @@ class Program_weight_tensor_parameter_162: class Program_weight_tensor_parameter_163: name = "parameter_163" + original_name = "conv2d_17.w_0" shape = [64, 1, 7, 7] dtype = "float32" min_val = float("-0.43281") @@ -1802,6 +1966,7 @@ class Program_weight_tensor_parameter_163: class Program_weight_tensor_parameter_164: name = "parameter_164" + original_name = "batch_norm2d_8.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -1811,6 +1976,7 @@ class Program_weight_tensor_parameter_164: class Program_weight_tensor_parameter_165: name = "parameter_165" + original_name = "batch_norm2d_8.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -1820,6 +1986,7 @@ class Program_weight_tensor_parameter_165: class Program_weight_tensor_parameter_166: name = "parameter_166" + original_name = "batch_norm2d_8.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -1829,6 +1996,7 @@ class Program_weight_tensor_parameter_166: class Program_weight_tensor_parameter_167: name = "parameter_167" + original_name = "batch_norm2d_8.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -1838,6 +2006,7 @@ class Program_weight_tensor_parameter_167: class Program_weight_tensor_parameter_168: name = "parameter_168" + original_name = "conv2d_16.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -1847,6 +2016,7 @@ class Program_weight_tensor_parameter_168: class Program_weight_tensor_parameter_169: name = "parameter_169" + original_name = "conv2d_16.w_0" shape = [64, 256, 1, 1] dtype = "float32" min_val = float("-0.694975") @@ -1858,6 +2028,7 @@ class Program_weight_tensor_parameter_169: class Program_weight_tensor_parameter_170: name = "parameter_170" + original_name = "conv2d_15.b_0" shape = [256] dtype = "float32" min_val = float("-3.30619") @@ -1869,6 +2040,7 @@ class Program_weight_tensor_parameter_170: class Program_weight_tensor_parameter_171: name = "parameter_171" + original_name = "conv2d_15.w_0" shape = [256, 64, 1, 1] dtype = "float32" min_val = float("-0.584892") @@ -1880,6 +2052,7 @@ class Program_weight_tensor_parameter_171: class Program_weight_tensor_parameter_172: name = "parameter_172" + original_name = "conv2d_14.b_0" shape = [256] dtype = "float32" min_val = float("-3.54543") @@ -1891,6 +2064,7 @@ class Program_weight_tensor_parameter_172: class Program_weight_tensor_parameter_173: name = "parameter_173" + original_name = "conv2d_14.w_0" shape = [256, 64, 1, 1] dtype = "float32" min_val = float("-0.766964") @@ -1902,6 +2076,7 @@ class Program_weight_tensor_parameter_173: class Program_weight_tensor_parameter_174: name = "parameter_174" + original_name = "batch_norm2d_7.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -1911,6 +2086,7 @@ class Program_weight_tensor_parameter_174: class Program_weight_tensor_parameter_175: name = "parameter_175" + original_name = "batch_norm2d_7.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -1920,6 +2096,7 @@ class Program_weight_tensor_parameter_175: class Program_weight_tensor_parameter_176: name = "parameter_176" + original_name = "batch_norm2d_7.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -1929,6 +2106,7 @@ class Program_weight_tensor_parameter_176: class Program_weight_tensor_parameter_177: name = "parameter_177" + original_name = "batch_norm2d_7.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -1938,6 +2116,7 @@ class Program_weight_tensor_parameter_177: class Program_weight_tensor_parameter_178: name = "parameter_178" + original_name = "conv2d_13.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -1947,6 +2126,7 @@ class Program_weight_tensor_parameter_178: class Program_weight_tensor_parameter_179: name = "parameter_179" + original_name = "conv2d_13.w_0" shape = [64, 1, 7, 7] dtype = "float32" min_val = float("-0.92599") @@ -1958,6 +2138,7 @@ class Program_weight_tensor_parameter_179: class Program_weight_tensor_parameter_180: name = "parameter_180" + original_name = "conv2d_12.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -1967,6 +2148,7 @@ class Program_weight_tensor_parameter_180: class Program_weight_tensor_parameter_181: name = "parameter_181" + original_name = "conv2d_12.w_0" shape = [64, 1, 7, 7] dtype = "float32" min_val = float("-0.604516") @@ -1978,6 +2160,7 @@ class Program_weight_tensor_parameter_181: class Program_weight_tensor_parameter_182: name = "parameter_182" + original_name = "batch_norm2d_6.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -1987,6 +2170,7 @@ class Program_weight_tensor_parameter_182: class Program_weight_tensor_parameter_183: name = "parameter_183" + original_name = "batch_norm2d_6.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -1996,6 +2180,7 @@ class Program_weight_tensor_parameter_183: class Program_weight_tensor_parameter_184: name = "parameter_184" + original_name = "batch_norm2d_6.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -2005,6 +2190,7 @@ class Program_weight_tensor_parameter_184: class Program_weight_tensor_parameter_185: name = "parameter_185" + original_name = "batch_norm2d_6.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -2014,6 +2200,7 @@ class Program_weight_tensor_parameter_185: class Program_weight_tensor_parameter_186: name = "parameter_186" + original_name = "conv2d_11.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -2023,6 +2210,7 @@ class Program_weight_tensor_parameter_186: class Program_weight_tensor_parameter_187: name = "parameter_187" + original_name = "conv2d_11.w_0" shape = [64, 256, 1, 1] dtype = "float32" min_val = float("-0.834753") @@ -2034,6 +2222,7 @@ class Program_weight_tensor_parameter_187: class Program_weight_tensor_parameter_188: name = "parameter_188" + original_name = "conv2d_10.b_0" shape = [256] dtype = "float32" min_val = float("-4.31178") @@ -2045,6 +2234,7 @@ class Program_weight_tensor_parameter_188: class Program_weight_tensor_parameter_189: name = "parameter_189" + original_name = "conv2d_10.w_0" shape = [256, 64, 1, 1] dtype = "float32" min_val = float("-0.738591") @@ -2056,6 +2246,7 @@ class Program_weight_tensor_parameter_189: class Program_weight_tensor_parameter_190: name = "parameter_190" + original_name = "conv2d_9.b_0" shape = [256] dtype = "float32" min_val = float("-5.68517") @@ -2067,6 +2258,7 @@ class Program_weight_tensor_parameter_190: class Program_weight_tensor_parameter_191: name = "parameter_191" + original_name = "conv2d_9.w_0" shape = [256, 64, 1, 1] dtype = "float32" min_val = float("-0.910064") @@ -2078,6 +2270,7 @@ class Program_weight_tensor_parameter_191: class Program_weight_tensor_parameter_192: name = "parameter_192" + original_name = "batch_norm2d_5.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -2087,6 +2280,7 @@ class Program_weight_tensor_parameter_192: class Program_weight_tensor_parameter_193: name = "parameter_193" + original_name = "batch_norm2d_5.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -2096,6 +2290,7 @@ class Program_weight_tensor_parameter_193: class Program_weight_tensor_parameter_194: name = "parameter_194" + original_name = "batch_norm2d_5.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -2105,6 +2300,7 @@ class Program_weight_tensor_parameter_194: class Program_weight_tensor_parameter_195: name = "parameter_195" + original_name = "batch_norm2d_5.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -2114,6 +2310,7 @@ class Program_weight_tensor_parameter_195: class Program_weight_tensor_parameter_196: name = "parameter_196" + original_name = "conv2d_8.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -2123,6 +2320,7 @@ class Program_weight_tensor_parameter_196: class Program_weight_tensor_parameter_197: name = "parameter_197" + original_name = "conv2d_8.w_0" shape = [64, 1, 7, 7] dtype = "float32" min_val = float("-1.72537") @@ -2134,6 +2332,7 @@ class Program_weight_tensor_parameter_197: class Program_weight_tensor_parameter_198: name = "parameter_198" + original_name = "batch_norm2d_4.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -2143,6 +2342,7 @@ class Program_weight_tensor_parameter_198: class Program_weight_tensor_parameter_199: name = "parameter_199" + original_name = "batch_norm2d_4.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -2152,6 +2352,7 @@ class Program_weight_tensor_parameter_199: class Program_weight_tensor_parameter_200: name = "parameter_200" + original_name = "batch_norm2d_4.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -2161,6 +2362,7 @@ class Program_weight_tensor_parameter_200: class Program_weight_tensor_parameter_201: name = "parameter_201" + original_name = "batch_norm2d_4.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -2170,6 +2372,7 @@ class Program_weight_tensor_parameter_201: class Program_weight_tensor_parameter_202: name = "parameter_202" + original_name = "conv2d_7.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -2179,6 +2382,7 @@ class Program_weight_tensor_parameter_202: class Program_weight_tensor_parameter_203: name = "parameter_203" + original_name = "conv2d_7.w_0" shape = [64, 32, 3, 3] dtype = "float32" min_val = float("-0.982435") @@ -2190,6 +2394,7 @@ class Program_weight_tensor_parameter_203: class Program_weight_tensor_parameter_204: name = "parameter_204" + original_name = "conv2d_6.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -2199,6 +2404,7 @@ class Program_weight_tensor_parameter_204: class Program_weight_tensor_parameter_205: name = "parameter_205" + original_name = "conv2d_6.w_0" shape = [32, 1, 7, 7] dtype = "float32" min_val = float("-0.440817") @@ -2210,6 +2416,7 @@ class Program_weight_tensor_parameter_205: class Program_weight_tensor_parameter_206: name = "parameter_206" + original_name = "batch_norm2d_3.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -2219,6 +2426,7 @@ class Program_weight_tensor_parameter_206: class Program_weight_tensor_parameter_207: name = "parameter_207" + original_name = "batch_norm2d_3.w_0" shape = [32] dtype = "float32" min_val = float("0") @@ -2228,6 +2436,7 @@ class Program_weight_tensor_parameter_207: class Program_weight_tensor_parameter_208: name = "parameter_208" + original_name = "batch_norm2d_3.w_2" shape = [32] dtype = "float32" min_val = float("0") @@ -2237,6 +2446,7 @@ class Program_weight_tensor_parameter_208: class Program_weight_tensor_parameter_209: name = "parameter_209" + original_name = "batch_norm2d_3.w_1" shape = [32] dtype = "float32" min_val = float("0") @@ -2246,6 +2456,7 @@ class Program_weight_tensor_parameter_209: class Program_weight_tensor_parameter_210: name = "parameter_210" + original_name = "conv2d_5.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -2255,6 +2466,7 @@ class Program_weight_tensor_parameter_210: class Program_weight_tensor_parameter_211: name = "parameter_211" + original_name = "conv2d_5.w_0" shape = [32, 128, 1, 1] dtype = "float32" min_val = float("-0.534437") @@ -2266,6 +2478,7 @@ class Program_weight_tensor_parameter_211: class Program_weight_tensor_parameter_212: name = "parameter_212" + original_name = "conv2d_4.b_0" shape = [128] dtype = "float32" min_val = float("-3.35493") @@ -2277,6 +2490,7 @@ class Program_weight_tensor_parameter_212: class Program_weight_tensor_parameter_213: name = "parameter_213" + original_name = "conv2d_4.w_0" shape = [128, 32, 1, 1] dtype = "float32" min_val = float("-0.398431") @@ -2288,6 +2502,7 @@ class Program_weight_tensor_parameter_213: class Program_weight_tensor_parameter_214: name = "parameter_214" + original_name = "conv2d_3.b_0" shape = [128] dtype = "float32" min_val = float("-1.06343") @@ -2299,6 +2514,7 @@ class Program_weight_tensor_parameter_214: class Program_weight_tensor_parameter_215: name = "parameter_215" + original_name = "conv2d_3.w_0" shape = [128, 32, 1, 1] dtype = "float32" min_val = float("-0.459826") @@ -2310,6 +2526,7 @@ class Program_weight_tensor_parameter_215: class Program_weight_tensor_parameter_216: name = "parameter_216" + original_name = "batch_norm2d_2.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -2319,6 +2536,7 @@ class Program_weight_tensor_parameter_216: class Program_weight_tensor_parameter_217: name = "parameter_217" + original_name = "batch_norm2d_2.w_0" shape = [32] dtype = "float32" min_val = float("0") @@ -2328,6 +2546,7 @@ class Program_weight_tensor_parameter_217: class Program_weight_tensor_parameter_218: name = "parameter_218" + original_name = "batch_norm2d_2.w_2" shape = [32] dtype = "float32" min_val = float("0") @@ -2337,6 +2556,7 @@ class Program_weight_tensor_parameter_218: class Program_weight_tensor_parameter_219: name = "parameter_219" + original_name = "batch_norm2d_2.w_1" shape = [32] dtype = "float32" min_val = float("0") @@ -2346,6 +2566,7 @@ class Program_weight_tensor_parameter_219: class Program_weight_tensor_parameter_220: name = "parameter_220" + original_name = "conv2d_2.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -2355,6 +2576,7 @@ class Program_weight_tensor_parameter_220: class Program_weight_tensor_parameter_221: name = "parameter_221" + original_name = "conv2d_2.w_0" shape = [32, 1, 7, 7] dtype = "float32" min_val = float("-1.74532") @@ -2366,6 +2588,7 @@ class Program_weight_tensor_parameter_221: class Program_weight_tensor_parameter_222: name = "parameter_222" + original_name = "batch_norm2d_1.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -2375,6 +2598,7 @@ class Program_weight_tensor_parameter_222: class Program_weight_tensor_parameter_223: name = "parameter_223" + original_name = "batch_norm2d_1.w_0" shape = [32] dtype = "float32" min_val = float("0") @@ -2384,6 +2608,7 @@ class Program_weight_tensor_parameter_223: class Program_weight_tensor_parameter_224: name = "parameter_224" + original_name = "batch_norm2d_1.w_2" shape = [32] dtype = "float32" min_val = float("0") @@ -2393,6 +2618,7 @@ class Program_weight_tensor_parameter_224: class Program_weight_tensor_parameter_225: name = "parameter_225" + original_name = "batch_norm2d_1.w_1" shape = [32] dtype = "float32" min_val = float("0") @@ -2402,6 +2628,7 @@ class Program_weight_tensor_parameter_225: class Program_weight_tensor_parameter_226: name = "parameter_226" + original_name = "conv2d_1.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -2411,6 +2638,7 @@ class Program_weight_tensor_parameter_226: class Program_weight_tensor_parameter_227: name = "parameter_227" + original_name = "conv2d_1.w_0" shape = [32, 32, 3, 3] dtype = "float32" min_val = float("-0.828529") @@ -2422,6 +2650,7 @@ class Program_weight_tensor_parameter_227: class Program_weight_tensor_parameter_228: name = "parameter_228" + original_name = "batch_norm2d_0.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -2431,6 +2660,7 @@ class Program_weight_tensor_parameter_228: class Program_weight_tensor_parameter_229: name = "parameter_229" + original_name = "batch_norm2d_0.w_0" shape = [32] dtype = "float32" min_val = float("0") @@ -2440,6 +2670,7 @@ class Program_weight_tensor_parameter_229: class Program_weight_tensor_parameter_230: name = "parameter_230" + original_name = "batch_norm2d_0.w_2" shape = [32] dtype = "float32" min_val = float("0") @@ -2449,6 +2680,7 @@ class Program_weight_tensor_parameter_230: class Program_weight_tensor_parameter_231: name = "parameter_231" + original_name = "batch_norm2d_0.w_1" shape = [32] dtype = "float32" min_val = float("0") @@ -2458,6 +2690,7 @@ class Program_weight_tensor_parameter_231: class Program_weight_tensor_parameter_232: name = "parameter_232" + original_name = "conv2d_0.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -2467,6 +2700,7 @@ class Program_weight_tensor_parameter_232: class Program_weight_tensor_parameter_233: name = "parameter_233" + original_name = "conv2d_0.w_0" shape = [32, 3, 3, 3] dtype = "float32" min_val = float("-0.163911") diff --git a/paddle_samples/PaddleX/StarNet-S3/subgraph_2/input_meta.py b/paddle_samples/PaddleX/StarNet-S3/subgraph_2/input_meta.py index a63c938ad..fba9b466e 100644 --- a/paddle_samples/PaddleX/StarNet-S3/subgraph_2/input_meta.py +++ b/paddle_samples/PaddleX/StarNet-S3/subgraph_2/input_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_data_0: name = "data_0" + original_name = "var_282" shape = [124, 3, 224, 224] dtype = "float32" min_val = float("-5.18906") diff --git a/paddle_samples/PaddleX/StarNet-S3/subgraph_2/weight_meta.py b/paddle_samples/PaddleX/StarNet-S3/subgraph_2/weight_meta.py index 88b6894ca..b804916ed 100644 --- a/paddle_samples/PaddleX/StarNet-S3/subgraph_2/weight_meta.py +++ b/paddle_samples/PaddleX/StarNet-S3/subgraph_2/weight_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_parameter_0: name = "parameter_0" + original_name = "linear_0.b_0" shape = [102] dtype = "float32" min_val = float("-0.00233045") @@ -11,6 +12,7 @@ class Program_weight_tensor_parameter_0: class Program_weight_tensor_parameter_1: name = "parameter_1" + original_name = "linear_0.w_0" shape = [256, 102] dtype = "float32" min_val = float("-0.132559") @@ -22,6 +24,7 @@ class Program_weight_tensor_parameter_1: class Program_weight_tensor_parameter_2: name = "parameter_2" + original_name = "batch_norm2d_37.b_0" shape = [256] dtype = "float32" min_val = float("-0.0561386") @@ -33,6 +36,7 @@ class Program_weight_tensor_parameter_2: class Program_weight_tensor_parameter_3: name = "parameter_3" + original_name = "batch_norm2d_37.w_0" shape = [256] dtype = "float32" min_val = float("0.890972") @@ -44,6 +48,7 @@ class Program_weight_tensor_parameter_3: class Program_weight_tensor_parameter_4: name = "parameter_4" + original_name = "batch_norm2d_37.w_2" shape = [256] dtype = "float32" min_val = float("4.02122") @@ -55,6 +60,7 @@ class Program_weight_tensor_parameter_4: class Program_weight_tensor_parameter_5: name = "parameter_5" + original_name = "batch_norm2d_37.w_1" shape = [256] dtype = "float32" min_val = float("-3.63124") @@ -66,6 +72,7 @@ class Program_weight_tensor_parameter_5: class Program_weight_tensor_parameter_6: name = "parameter_6" + original_name = "conv2d_84.b_0" shape = [256] dtype = "float32" min_val = float("-3.66322") @@ -77,6 +84,7 @@ class Program_weight_tensor_parameter_6: class Program_weight_tensor_parameter_7: name = "parameter_7" + original_name = "conv2d_84.w_0" shape = [256, 1, 7, 7] dtype = "float32" min_val = float("-0.440126") @@ -88,6 +96,7 @@ class Program_weight_tensor_parameter_7: class Program_weight_tensor_parameter_8: name = "parameter_8" + original_name = "batch_norm2d_36.b_0" shape = [256] dtype = "float32" min_val = float("-1.03231") @@ -99,6 +108,7 @@ class Program_weight_tensor_parameter_8: class Program_weight_tensor_parameter_9: name = "parameter_9" + original_name = "batch_norm2d_36.w_0" shape = [256] dtype = "float32" min_val = float("1.24139") @@ -110,6 +120,7 @@ class Program_weight_tensor_parameter_9: class Program_weight_tensor_parameter_10: name = "parameter_10" + original_name = "batch_norm2d_36.w_2" shape = [256] dtype = "float32" min_val = float("5.80405") @@ -121,6 +132,7 @@ class Program_weight_tensor_parameter_10: class Program_weight_tensor_parameter_11: name = "parameter_11" + original_name = "batch_norm2d_36.w_1" shape = [256] dtype = "float32" min_val = float("-0.597064") @@ -132,6 +144,7 @@ class Program_weight_tensor_parameter_11: class Program_weight_tensor_parameter_12: name = "parameter_12" + original_name = "conv2d_83.b_0" shape = [256] dtype = "float32" min_val = float("-0.0317467") @@ -143,6 +156,7 @@ class Program_weight_tensor_parameter_12: class Program_weight_tensor_parameter_13: name = "parameter_13" + original_name = "conv2d_83.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.33943") @@ -154,6 +168,7 @@ class Program_weight_tensor_parameter_13: class Program_weight_tensor_parameter_14: name = "parameter_14" + original_name = "conv2d_82.b_0" shape = [1024] dtype = "float32" min_val = float("-3.22128") @@ -165,6 +180,7 @@ class Program_weight_tensor_parameter_14: class Program_weight_tensor_parameter_15: name = "parameter_15" + original_name = "conv2d_82.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.398198") @@ -176,6 +192,7 @@ class Program_weight_tensor_parameter_15: class Program_weight_tensor_parameter_16: name = "parameter_16" + original_name = "conv2d_81.b_0" shape = [1024] dtype = "float32" min_val = float("-3.85551") @@ -187,6 +204,7 @@ class Program_weight_tensor_parameter_16: class Program_weight_tensor_parameter_17: name = "parameter_17" + original_name = "conv2d_81.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.545266") @@ -198,6 +216,7 @@ class Program_weight_tensor_parameter_17: class Program_weight_tensor_parameter_18: name = "parameter_18" + original_name = "batch_norm2d_35.b_0" shape = [256] dtype = "float32" min_val = float("-0.276122") @@ -209,6 +228,7 @@ class Program_weight_tensor_parameter_18: class Program_weight_tensor_parameter_19: name = "parameter_19" + original_name = "batch_norm2d_35.w_0" shape = [256] dtype = "float32" min_val = float("0.683637") @@ -220,6 +240,7 @@ class Program_weight_tensor_parameter_19: class Program_weight_tensor_parameter_20: name = "parameter_20" + original_name = "batch_norm2d_35.w_2" shape = [256] dtype = "float32" min_val = float("0.291851") @@ -231,6 +252,7 @@ class Program_weight_tensor_parameter_20: class Program_weight_tensor_parameter_21: name = "parameter_21" + original_name = "batch_norm2d_35.w_1" shape = [256] dtype = "float32" min_val = float("-3.07819") @@ -242,6 +264,7 @@ class Program_weight_tensor_parameter_21: class Program_weight_tensor_parameter_22: name = "parameter_22" + original_name = "conv2d_80.b_0" shape = [256] dtype = "float32" min_val = float("-0.146225") @@ -253,6 +276,7 @@ class Program_weight_tensor_parameter_22: class Program_weight_tensor_parameter_23: name = "parameter_23" + original_name = "conv2d_80.w_0" shape = [256, 1, 7, 7] dtype = "float32" min_val = float("-1.30314") @@ -264,6 +288,7 @@ class Program_weight_tensor_parameter_23: class Program_weight_tensor_parameter_24: name = "parameter_24" + original_name = "conv2d_79.b_0" shape = [256] dtype = "float32" min_val = float("-1.46717") @@ -275,6 +300,7 @@ class Program_weight_tensor_parameter_24: class Program_weight_tensor_parameter_25: name = "parameter_25" + original_name = "conv2d_79.w_0" shape = [256, 1, 7, 7] dtype = "float32" min_val = float("-0.482618") @@ -286,6 +312,7 @@ class Program_weight_tensor_parameter_25: class Program_weight_tensor_parameter_26: name = "parameter_26" + original_name = "batch_norm2d_34.b_0" shape = [256] dtype = "float32" min_val = float("-1.53139") @@ -297,6 +324,7 @@ class Program_weight_tensor_parameter_26: class Program_weight_tensor_parameter_27: name = "parameter_27" + original_name = "batch_norm2d_34.w_0" shape = [256] dtype = "float32" min_val = float("0.58445") @@ -308,6 +336,7 @@ class Program_weight_tensor_parameter_27: class Program_weight_tensor_parameter_28: name = "parameter_28" + original_name = "batch_norm2d_34.w_2" shape = [256] dtype = "float32" min_val = float("2.89021") @@ -319,6 +348,7 @@ class Program_weight_tensor_parameter_28: class Program_weight_tensor_parameter_29: name = "parameter_29" + original_name = "batch_norm2d_34.w_1" shape = [256] dtype = "float32" min_val = float("-2.28964") @@ -330,6 +360,7 @@ class Program_weight_tensor_parameter_29: class Program_weight_tensor_parameter_30: name = "parameter_30" + original_name = "conv2d_78.b_0" shape = [256] dtype = "float32" min_val = float("-0.0309575") @@ -341,6 +372,7 @@ class Program_weight_tensor_parameter_30: class Program_weight_tensor_parameter_31: name = "parameter_31" + original_name = "conv2d_78.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.535152") @@ -352,6 +384,7 @@ class Program_weight_tensor_parameter_31: class Program_weight_tensor_parameter_32: name = "parameter_32" + original_name = "conv2d_77.b_0" shape = [1024] dtype = "float32" min_val = float("-3.9016") @@ -363,6 +396,7 @@ class Program_weight_tensor_parameter_32: class Program_weight_tensor_parameter_33: name = "parameter_33" + original_name = "conv2d_77.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.530493") @@ -374,6 +408,7 @@ class Program_weight_tensor_parameter_33: class Program_weight_tensor_parameter_34: name = "parameter_34" + original_name = "conv2d_76.b_0" shape = [1024] dtype = "float32" min_val = float("-4.28149") @@ -385,6 +420,7 @@ class Program_weight_tensor_parameter_34: class Program_weight_tensor_parameter_35: name = "parameter_35" + original_name = "conv2d_76.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.71682") @@ -396,6 +432,7 @@ class Program_weight_tensor_parameter_35: class Program_weight_tensor_parameter_36: name = "parameter_36" + original_name = "batch_norm2d_33.b_0" shape = [256] dtype = "float32" min_val = float("-0.614193") @@ -407,6 +444,7 @@ class Program_weight_tensor_parameter_36: class Program_weight_tensor_parameter_37: name = "parameter_37" + original_name = "batch_norm2d_33.w_0" shape = [256] dtype = "float32" min_val = float("0.705196") @@ -418,6 +456,7 @@ class Program_weight_tensor_parameter_37: class Program_weight_tensor_parameter_38: name = "parameter_38" + original_name = "batch_norm2d_33.w_2" shape = [256] dtype = "float32" min_val = float("0.0506259") @@ -429,6 +468,7 @@ class Program_weight_tensor_parameter_38: class Program_weight_tensor_parameter_39: name = "parameter_39" + original_name = "batch_norm2d_33.w_1" shape = [256] dtype = "float32" min_val = float("-2.24612") @@ -440,6 +480,7 @@ class Program_weight_tensor_parameter_39: class Program_weight_tensor_parameter_40: name = "parameter_40" + original_name = "conv2d_75.b_0" shape = [256] dtype = "float32" min_val = float("-0.147245") @@ -451,6 +492,7 @@ class Program_weight_tensor_parameter_40: class Program_weight_tensor_parameter_41: name = "parameter_41" + original_name = "conv2d_75.w_0" shape = [256, 1, 7, 7] dtype = "float32" min_val = float("-1.23064") @@ -462,6 +504,7 @@ class Program_weight_tensor_parameter_41: class Program_weight_tensor_parameter_42: name = "parameter_42" + original_name = "conv2d_74.b_0" shape = [256] dtype = "float32" min_val = float("-1.58954") @@ -473,6 +516,7 @@ class Program_weight_tensor_parameter_42: class Program_weight_tensor_parameter_43: name = "parameter_43" + original_name = "conv2d_74.w_0" shape = [256, 1, 7, 7] dtype = "float32" min_val = float("-0.424051") @@ -484,6 +528,7 @@ class Program_weight_tensor_parameter_43: class Program_weight_tensor_parameter_44: name = "parameter_44" + original_name = "batch_norm2d_32.b_0" shape = [256] dtype = "float32" min_val = float("-0.761258") @@ -495,6 +540,7 @@ class Program_weight_tensor_parameter_44: class Program_weight_tensor_parameter_45: name = "parameter_45" + original_name = "batch_norm2d_32.w_0" shape = [256] dtype = "float32" min_val = float("0.514096") @@ -506,6 +552,7 @@ class Program_weight_tensor_parameter_45: class Program_weight_tensor_parameter_46: name = "parameter_46" + original_name = "batch_norm2d_32.w_2" shape = [256] dtype = "float32" min_val = float("0.190183") @@ -517,6 +564,7 @@ class Program_weight_tensor_parameter_46: class Program_weight_tensor_parameter_47: name = "parameter_47" + original_name = "batch_norm2d_32.w_1" shape = [256] dtype = "float32" min_val = float("-0.261583") @@ -528,6 +576,7 @@ class Program_weight_tensor_parameter_47: class Program_weight_tensor_parameter_48: name = "parameter_48" + original_name = "conv2d_73.b_0" shape = [256] dtype = "float32" min_val = float("-0.0410902") @@ -539,6 +588,7 @@ class Program_weight_tensor_parameter_48: class Program_weight_tensor_parameter_49: name = "parameter_49" + original_name = "conv2d_73.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.415123") @@ -550,6 +600,7 @@ class Program_weight_tensor_parameter_49: class Program_weight_tensor_parameter_50: name = "parameter_50" + original_name = "conv2d_72.b_0" shape = [1024] dtype = "float32" min_val = float("-2.50556") @@ -561,6 +612,7 @@ class Program_weight_tensor_parameter_50: class Program_weight_tensor_parameter_51: name = "parameter_51" + original_name = "conv2d_72.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.467946") @@ -572,6 +624,7 @@ class Program_weight_tensor_parameter_51: class Program_weight_tensor_parameter_52: name = "parameter_52" + original_name = "conv2d_71.b_0" shape = [1024] dtype = "float32" min_val = float("-3.49211") @@ -583,6 +636,7 @@ class Program_weight_tensor_parameter_52: class Program_weight_tensor_parameter_53: name = "parameter_53" + original_name = "conv2d_71.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.402429") @@ -594,6 +648,7 @@ class Program_weight_tensor_parameter_53: class Program_weight_tensor_parameter_54: name = "parameter_54" + original_name = "batch_norm2d_31.b_0" shape = [256] dtype = "float32" min_val = float("-0.440309") @@ -605,6 +660,7 @@ class Program_weight_tensor_parameter_54: class Program_weight_tensor_parameter_55: name = "parameter_55" + original_name = "batch_norm2d_31.w_0" shape = [256] dtype = "float32" min_val = float("0.383512") @@ -616,6 +672,7 @@ class Program_weight_tensor_parameter_55: class Program_weight_tensor_parameter_56: name = "parameter_56" + original_name = "batch_norm2d_31.w_2" shape = [256] dtype = "float32" min_val = float("0.00575162") @@ -627,6 +684,7 @@ class Program_weight_tensor_parameter_56: class Program_weight_tensor_parameter_57: name = "parameter_57" + original_name = "batch_norm2d_31.w_1" shape = [256] dtype = "float32" min_val = float("-1.1902") @@ -638,6 +696,7 @@ class Program_weight_tensor_parameter_57: class Program_weight_tensor_parameter_58: name = "parameter_58" + original_name = "conv2d_70.b_0" shape = [256] dtype = "float32" min_val = float("-0.141155") @@ -649,6 +708,7 @@ class Program_weight_tensor_parameter_58: class Program_weight_tensor_parameter_59: name = "parameter_59" + original_name = "conv2d_70.w_0" shape = [256, 1, 7, 7] dtype = "float32" min_val = float("-1.21193") @@ -660,6 +720,7 @@ class Program_weight_tensor_parameter_59: class Program_weight_tensor_parameter_60: name = "parameter_60" + original_name = "conv2d_69.b_0" shape = [256] dtype = "float32" min_val = float("-0.883891") @@ -671,6 +732,7 @@ class Program_weight_tensor_parameter_60: class Program_weight_tensor_parameter_61: name = "parameter_61" + original_name = "conv2d_69.w_0" shape = [256, 1, 7, 7] dtype = "float32" min_val = float("-0.492697") @@ -682,6 +744,7 @@ class Program_weight_tensor_parameter_61: class Program_weight_tensor_parameter_62: name = "parameter_62" + original_name = "batch_norm2d_30.b_0" shape = [256] dtype = "float32" min_val = float("-0.604547") @@ -693,6 +756,7 @@ class Program_weight_tensor_parameter_62: class Program_weight_tensor_parameter_63: name = "parameter_63" + original_name = "batch_norm2d_30.w_0" shape = [256] dtype = "float32" min_val = float("0.140901") @@ -704,6 +768,7 @@ class Program_weight_tensor_parameter_63: class Program_weight_tensor_parameter_64: name = "parameter_64" + original_name = "batch_norm2d_30.w_2" shape = [256] dtype = "float32" min_val = float("3.76509") @@ -715,6 +780,7 @@ class Program_weight_tensor_parameter_64: class Program_weight_tensor_parameter_65: name = "parameter_65" + original_name = "batch_norm2d_30.w_1" shape = [256] dtype = "float32" min_val = float("-2.12518") @@ -726,6 +792,7 @@ class Program_weight_tensor_parameter_65: class Program_weight_tensor_parameter_66: name = "parameter_66" + original_name = "conv2d_68.b_0" shape = [256] dtype = "float32" min_val = float("-0.0321002") @@ -737,6 +804,7 @@ class Program_weight_tensor_parameter_66: class Program_weight_tensor_parameter_67: name = "parameter_67" + original_name = "conv2d_68.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-1.30983") @@ -748,6 +816,7 @@ class Program_weight_tensor_parameter_67: class Program_weight_tensor_parameter_68: name = "parameter_68" + original_name = "conv2d_67.b_0" shape = [1024] dtype = "float32" min_val = float("-3.25328") @@ -759,6 +828,7 @@ class Program_weight_tensor_parameter_68: class Program_weight_tensor_parameter_69: name = "parameter_69" + original_name = "conv2d_67.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.48854") @@ -770,6 +840,7 @@ class Program_weight_tensor_parameter_69: class Program_weight_tensor_parameter_70: name = "parameter_70" + original_name = "conv2d_66.b_0" shape = [1024] dtype = "float32" min_val = float("-3.47365") @@ -781,6 +852,7 @@ class Program_weight_tensor_parameter_70: class Program_weight_tensor_parameter_71: name = "parameter_71" + original_name = "conv2d_66.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.742085") @@ -792,6 +864,7 @@ class Program_weight_tensor_parameter_71: class Program_weight_tensor_parameter_72: name = "parameter_72" + original_name = "batch_norm2d_29.b_0" shape = [256] dtype = "float32" min_val = float("-1.36682") @@ -803,6 +876,7 @@ class Program_weight_tensor_parameter_72: class Program_weight_tensor_parameter_73: name = "parameter_73" + original_name = "batch_norm2d_29.w_0" shape = [256] dtype = "float32" min_val = float("0.377704") @@ -814,6 +888,7 @@ class Program_weight_tensor_parameter_73: class Program_weight_tensor_parameter_74: name = "parameter_74" + original_name = "batch_norm2d_29.w_2" shape = [256] dtype = "float32" min_val = float("0.000284832") @@ -825,6 +900,7 @@ class Program_weight_tensor_parameter_74: class Program_weight_tensor_parameter_75: name = "parameter_75" + original_name = "batch_norm2d_29.w_1" shape = [256] dtype = "float32" min_val = float("-1.48211") @@ -836,6 +912,7 @@ class Program_weight_tensor_parameter_75: class Program_weight_tensor_parameter_76: name = "parameter_76" + original_name = "conv2d_65.b_0" shape = [256] dtype = "float32" min_val = float("-0.160146") @@ -847,6 +924,7 @@ class Program_weight_tensor_parameter_76: class Program_weight_tensor_parameter_77: name = "parameter_77" + original_name = "conv2d_65.w_0" shape = [256, 1, 7, 7] dtype = "float32" min_val = float("-1.30011") @@ -858,6 +936,7 @@ class Program_weight_tensor_parameter_77: class Program_weight_tensor_parameter_78: name = "parameter_78" + original_name = "batch_norm2d_28.b_0" shape = [256] dtype = "float32" min_val = float("-1.50363") @@ -869,6 +948,7 @@ class Program_weight_tensor_parameter_78: class Program_weight_tensor_parameter_79: name = "parameter_79" + original_name = "batch_norm2d_28.w_0" shape = [256] dtype = "float32" min_val = float("0.0369259") @@ -880,6 +960,7 @@ class Program_weight_tensor_parameter_79: class Program_weight_tensor_parameter_80: name = "parameter_80" + original_name = "batch_norm2d_28.w_2" shape = [256] dtype = "float32" min_val = float("183.293") @@ -891,6 +972,7 @@ class Program_weight_tensor_parameter_80: class Program_weight_tensor_parameter_81: name = "parameter_81" + original_name = "batch_norm2d_28.w_1" shape = [256] dtype = "float32" min_val = float("-40.9087") @@ -902,6 +984,7 @@ class Program_weight_tensor_parameter_81: class Program_weight_tensor_parameter_82: name = "parameter_82" + original_name = "conv2d_64.b_0" shape = [256] dtype = "float32" min_val = float("-0.0301259") @@ -913,6 +996,7 @@ class Program_weight_tensor_parameter_82: class Program_weight_tensor_parameter_83: name = "parameter_83" + original_name = "conv2d_64.w_0" shape = [256, 128, 3, 3] dtype = "float32" min_val = float("-0.566927") @@ -924,6 +1008,7 @@ class Program_weight_tensor_parameter_83: class Program_weight_tensor_parameter_84: name = "parameter_84" + original_name = "conv2d_63.b_0" shape = [128] dtype = "float32" min_val = float("-1.2933") @@ -935,6 +1020,7 @@ class Program_weight_tensor_parameter_84: class Program_weight_tensor_parameter_85: name = "parameter_85" + original_name = "conv2d_63.w_0" shape = [128, 1, 7, 7] dtype = "float32" min_val = float("-0.43076") @@ -946,6 +1032,7 @@ class Program_weight_tensor_parameter_85: class Program_weight_tensor_parameter_86: name = "parameter_86" + original_name = "batch_norm2d_27.b_0" shape = [128] dtype = "float32" min_val = float("-0.954806") @@ -957,6 +1044,7 @@ class Program_weight_tensor_parameter_86: class Program_weight_tensor_parameter_87: name = "parameter_87" + original_name = "batch_norm2d_27.w_0" shape = [128] dtype = "float32" min_val = float("1.01519") @@ -968,6 +1056,7 @@ class Program_weight_tensor_parameter_87: class Program_weight_tensor_parameter_88: name = "parameter_88" + original_name = "batch_norm2d_27.w_2" shape = [128] dtype = "float32" min_val = float("1.63993") @@ -979,6 +1068,7 @@ class Program_weight_tensor_parameter_88: class Program_weight_tensor_parameter_89: name = "parameter_89" + original_name = "batch_norm2d_27.w_1" shape = [128] dtype = "float32" min_val = float("-0.654706") @@ -990,6 +1080,7 @@ class Program_weight_tensor_parameter_89: class Program_weight_tensor_parameter_90: name = "parameter_90" + original_name = "conv2d_62.b_0" shape = [128] dtype = "float32" min_val = float("-0.0469711") @@ -1001,6 +1092,7 @@ class Program_weight_tensor_parameter_90: class Program_weight_tensor_parameter_91: name = "parameter_91" + original_name = "conv2d_62.w_0" shape = [128, 512, 1, 1] dtype = "float32" min_val = float("-0.48279") @@ -1012,6 +1104,7 @@ class Program_weight_tensor_parameter_91: class Program_weight_tensor_parameter_92: name = "parameter_92" + original_name = "conv2d_61.b_0" shape = [512] dtype = "float32" min_val = float("-2.47469") @@ -1023,6 +1116,7 @@ class Program_weight_tensor_parameter_92: class Program_weight_tensor_parameter_93: name = "parameter_93" + original_name = "conv2d_61.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.869892") @@ -1034,6 +1128,7 @@ class Program_weight_tensor_parameter_93: class Program_weight_tensor_parameter_94: name = "parameter_94" + original_name = "conv2d_60.b_0" shape = [512] dtype = "float32" min_val = float("-3.42549") @@ -1045,6 +1140,7 @@ class Program_weight_tensor_parameter_94: class Program_weight_tensor_parameter_95: name = "parameter_95" + original_name = "conv2d_60.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.662584") @@ -1056,6 +1152,7 @@ class Program_weight_tensor_parameter_95: class Program_weight_tensor_parameter_96: name = "parameter_96" + original_name = "batch_norm2d_26.b_0" shape = [128] dtype = "float32" min_val = float("-1.38206") @@ -1067,6 +1164,7 @@ class Program_weight_tensor_parameter_96: class Program_weight_tensor_parameter_97: name = "parameter_97" + original_name = "batch_norm2d_26.w_0" shape = [128] dtype = "float32" min_val = float("0.471461") @@ -1078,6 +1176,7 @@ class Program_weight_tensor_parameter_97: class Program_weight_tensor_parameter_98: name = "parameter_98" + original_name = "batch_norm2d_26.w_2" shape = [128] dtype = "float32" min_val = float("0.243651") @@ -1089,6 +1188,7 @@ class Program_weight_tensor_parameter_98: class Program_weight_tensor_parameter_99: name = "parameter_99" + original_name = "batch_norm2d_26.w_1" shape = [128] dtype = "float32" min_val = float("-9.37839") @@ -1100,6 +1200,7 @@ class Program_weight_tensor_parameter_99: class Program_weight_tensor_parameter_100: name = "parameter_100" + original_name = "conv2d_59.b_0" shape = [128] dtype = "float32" min_val = float("-0.15132") @@ -1111,6 +1212,7 @@ class Program_weight_tensor_parameter_100: class Program_weight_tensor_parameter_101: name = "parameter_101" + original_name = "conv2d_59.w_0" shape = [128, 1, 7, 7] dtype = "float32" min_val = float("-1.27416") @@ -1122,6 +1224,7 @@ class Program_weight_tensor_parameter_101: class Program_weight_tensor_parameter_102: name = "parameter_102" + original_name = "conv2d_58.b_0" shape = [128] dtype = "float32" min_val = float("-1.97451") @@ -1133,6 +1236,7 @@ class Program_weight_tensor_parameter_102: class Program_weight_tensor_parameter_103: name = "parameter_103" + original_name = "conv2d_58.w_0" shape = [128, 1, 7, 7] dtype = "float32" min_val = float("-0.536383") @@ -1144,6 +1248,7 @@ class Program_weight_tensor_parameter_103: class Program_weight_tensor_parameter_104: name = "parameter_104" + original_name = "batch_norm2d_25.b_0" shape = [128] dtype = "float32" min_val = float("-0.814996") @@ -1155,6 +1260,7 @@ class Program_weight_tensor_parameter_104: class Program_weight_tensor_parameter_105: name = "parameter_105" + original_name = "batch_norm2d_25.w_0" shape = [128] dtype = "float32" min_val = float("-0.791455") @@ -1166,6 +1272,7 @@ class Program_weight_tensor_parameter_105: class Program_weight_tensor_parameter_106: name = "parameter_106" + original_name = "batch_norm2d_25.w_2" shape = [128] dtype = "float32" min_val = float("1.52333") @@ -1177,6 +1284,7 @@ class Program_weight_tensor_parameter_106: class Program_weight_tensor_parameter_107: name = "parameter_107" + original_name = "batch_norm2d_25.w_1" shape = [128] dtype = "float32" min_val = float("-1.44374") @@ -1188,6 +1296,7 @@ class Program_weight_tensor_parameter_107: class Program_weight_tensor_parameter_108: name = "parameter_108" + original_name = "conv2d_57.b_0" shape = [128] dtype = "float32" min_val = float("-0.0457165") @@ -1199,6 +1308,7 @@ class Program_weight_tensor_parameter_108: class Program_weight_tensor_parameter_109: name = "parameter_109" + original_name = "conv2d_57.w_0" shape = [128, 512, 1, 1] dtype = "float32" min_val = float("-0.73107") @@ -1210,6 +1320,7 @@ class Program_weight_tensor_parameter_109: class Program_weight_tensor_parameter_110: name = "parameter_110" + original_name = "conv2d_56.b_0" shape = [512] dtype = "float32" min_val = float("-2.54361") @@ -1221,6 +1332,7 @@ class Program_weight_tensor_parameter_110: class Program_weight_tensor_parameter_111: name = "parameter_111" + original_name = "conv2d_56.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.687036") @@ -1232,6 +1344,7 @@ class Program_weight_tensor_parameter_111: class Program_weight_tensor_parameter_112: name = "parameter_112" + original_name = "conv2d_55.b_0" shape = [512] dtype = "float32" min_val = float("-3.45046") @@ -1243,6 +1356,7 @@ class Program_weight_tensor_parameter_112: class Program_weight_tensor_parameter_113: name = "parameter_113" + original_name = "conv2d_55.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.534049") @@ -1254,6 +1368,7 @@ class Program_weight_tensor_parameter_113: class Program_weight_tensor_parameter_114: name = "parameter_114" + original_name = "batch_norm2d_24.b_0" shape = [128] dtype = "float32" min_val = float("-1.54339") @@ -1265,6 +1380,7 @@ class Program_weight_tensor_parameter_114: class Program_weight_tensor_parameter_115: name = "parameter_115" + original_name = "batch_norm2d_24.w_0" shape = [128] dtype = "float32" min_val = float("0.493415") @@ -1276,6 +1392,7 @@ class Program_weight_tensor_parameter_115: class Program_weight_tensor_parameter_116: name = "parameter_116" + original_name = "batch_norm2d_24.w_2" shape = [128] dtype = "float32" min_val = float("0.104599") @@ -1287,6 +1404,7 @@ class Program_weight_tensor_parameter_116: class Program_weight_tensor_parameter_117: name = "parameter_117" + original_name = "batch_norm2d_24.w_1" shape = [128] dtype = "float32" min_val = float("-5.42021") @@ -1298,6 +1416,7 @@ class Program_weight_tensor_parameter_117: class Program_weight_tensor_parameter_118: name = "parameter_118" + original_name = "conv2d_54.b_0" shape = [128] dtype = "float32" min_val = float("-0.144834") @@ -1309,6 +1428,7 @@ class Program_weight_tensor_parameter_118: class Program_weight_tensor_parameter_119: name = "parameter_119" + original_name = "conv2d_54.w_0" shape = [128, 1, 7, 7] dtype = "float32" min_val = float("-1.23214") @@ -1320,6 +1440,7 @@ class Program_weight_tensor_parameter_119: class Program_weight_tensor_parameter_120: name = "parameter_120" + original_name = "conv2d_53.b_0" shape = [128] dtype = "float32" min_val = float("-0.735427") @@ -1331,6 +1452,7 @@ class Program_weight_tensor_parameter_120: class Program_weight_tensor_parameter_121: name = "parameter_121" + original_name = "conv2d_53.w_0" shape = [128, 1, 7, 7] dtype = "float32" min_val = float("-0.450108") @@ -1342,6 +1464,7 @@ class Program_weight_tensor_parameter_121: class Program_weight_tensor_parameter_122: name = "parameter_122" + original_name = "batch_norm2d_23.b_0" shape = [128] dtype = "float32" min_val = float("-0.357018") @@ -1353,6 +1476,7 @@ class Program_weight_tensor_parameter_122: class Program_weight_tensor_parameter_123: name = "parameter_123" + original_name = "batch_norm2d_23.w_0" shape = [128] dtype = "float32" min_val = float("-1.01141") @@ -1364,6 +1488,7 @@ class Program_weight_tensor_parameter_123: class Program_weight_tensor_parameter_124: name = "parameter_124" + original_name = "batch_norm2d_23.w_2" shape = [128] dtype = "float32" min_val = float("2.34595") @@ -1375,6 +1500,7 @@ class Program_weight_tensor_parameter_124: class Program_weight_tensor_parameter_125: name = "parameter_125" + original_name = "batch_norm2d_23.w_1" shape = [128] dtype = "float32" min_val = float("-2.27135") @@ -1386,6 +1512,7 @@ class Program_weight_tensor_parameter_125: class Program_weight_tensor_parameter_126: name = "parameter_126" + original_name = "conv2d_52.b_0" shape = [128] dtype = "float32" min_val = float("-0.0458994") @@ -1397,6 +1524,7 @@ class Program_weight_tensor_parameter_126: class Program_weight_tensor_parameter_127: name = "parameter_127" + original_name = "conv2d_52.w_0" shape = [128, 512, 1, 1] dtype = "float32" min_val = float("-0.509232") @@ -1408,6 +1536,7 @@ class Program_weight_tensor_parameter_127: class Program_weight_tensor_parameter_128: name = "parameter_128" + original_name = "conv2d_51.b_0" shape = [512] dtype = "float32" min_val = float("-3.97613") @@ -1419,6 +1548,7 @@ class Program_weight_tensor_parameter_128: class Program_weight_tensor_parameter_129: name = "parameter_129" + original_name = "conv2d_51.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.596044") @@ -1430,6 +1560,7 @@ class Program_weight_tensor_parameter_129: class Program_weight_tensor_parameter_130: name = "parameter_130" + original_name = "conv2d_50.b_0" shape = [512] dtype = "float32" min_val = float("-3.32622") @@ -1441,6 +1572,7 @@ class Program_weight_tensor_parameter_130: class Program_weight_tensor_parameter_131: name = "parameter_131" + original_name = "conv2d_50.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.568842") @@ -1452,6 +1584,7 @@ class Program_weight_tensor_parameter_131: class Program_weight_tensor_parameter_132: name = "parameter_132" + original_name = "batch_norm2d_22.b_0" shape = [128] dtype = "float32" min_val = float("-0.473745") @@ -1463,6 +1596,7 @@ class Program_weight_tensor_parameter_132: class Program_weight_tensor_parameter_133: name = "parameter_133" + original_name = "batch_norm2d_22.w_0" shape = [128] dtype = "float32" min_val = float("0.681585") @@ -1474,6 +1608,7 @@ class Program_weight_tensor_parameter_133: class Program_weight_tensor_parameter_134: name = "parameter_134" + original_name = "batch_norm2d_22.w_2" shape = [128] dtype = "float32" min_val = float("0.0167681") @@ -1485,6 +1620,7 @@ class Program_weight_tensor_parameter_134: class Program_weight_tensor_parameter_135: name = "parameter_135" + original_name = "batch_norm2d_22.w_1" shape = [128] dtype = "float32" min_val = float("-3.92119") @@ -1496,6 +1632,7 @@ class Program_weight_tensor_parameter_135: class Program_weight_tensor_parameter_136: name = "parameter_136" + original_name = "conv2d_49.b_0" shape = [128] dtype = "float32" min_val = float("-0.140654") @@ -1507,6 +1644,7 @@ class Program_weight_tensor_parameter_136: class Program_weight_tensor_parameter_137: name = "parameter_137" + original_name = "conv2d_49.w_0" shape = [128, 1, 7, 7] dtype = "float32" min_val = float("-0.852262") @@ -1518,6 +1656,7 @@ class Program_weight_tensor_parameter_137: class Program_weight_tensor_parameter_138: name = "parameter_138" + original_name = "conv2d_48.b_0" shape = [128] dtype = "float32" min_val = float("-2.66205") @@ -1529,6 +1668,7 @@ class Program_weight_tensor_parameter_138: class Program_weight_tensor_parameter_139: name = "parameter_139" + original_name = "conv2d_48.w_0" shape = [128, 1, 7, 7] dtype = "float32" min_val = float("-0.567334") @@ -1540,6 +1680,7 @@ class Program_weight_tensor_parameter_139: class Program_weight_tensor_parameter_140: name = "parameter_140" + original_name = "batch_norm2d_21.b_0" shape = [128] dtype = "float32" min_val = float("-0.741623") @@ -1551,6 +1692,7 @@ class Program_weight_tensor_parameter_140: class Program_weight_tensor_parameter_141: name = "parameter_141" + original_name = "batch_norm2d_21.w_0" shape = [128] dtype = "float32" min_val = float("0.158602") @@ -1562,6 +1704,7 @@ class Program_weight_tensor_parameter_141: class Program_weight_tensor_parameter_142: name = "parameter_142" + original_name = "batch_norm2d_21.w_2" shape = [128] dtype = "float32" min_val = float("1.37738") @@ -1573,6 +1716,7 @@ class Program_weight_tensor_parameter_142: class Program_weight_tensor_parameter_143: name = "parameter_143" + original_name = "batch_norm2d_21.w_1" shape = [128] dtype = "float32" min_val = float("-1.15714") @@ -1584,6 +1728,7 @@ class Program_weight_tensor_parameter_143: class Program_weight_tensor_parameter_144: name = "parameter_144" + original_name = "conv2d_47.b_0" shape = [128] dtype = "float32" min_val = float("-0.0470889") @@ -1595,6 +1740,7 @@ class Program_weight_tensor_parameter_144: class Program_weight_tensor_parameter_145: name = "parameter_145" + original_name = "conv2d_47.w_0" shape = [128, 512, 1, 1] dtype = "float32" min_val = float("-0.532501") @@ -1606,6 +1752,7 @@ class Program_weight_tensor_parameter_145: class Program_weight_tensor_parameter_146: name = "parameter_146" + original_name = "conv2d_46.b_0" shape = [512] dtype = "float32" min_val = float("-3.29959") @@ -1617,6 +1764,7 @@ class Program_weight_tensor_parameter_146: class Program_weight_tensor_parameter_147: name = "parameter_147" + original_name = "conv2d_46.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.774191") @@ -1628,6 +1776,7 @@ class Program_weight_tensor_parameter_147: class Program_weight_tensor_parameter_148: name = "parameter_148" + original_name = "conv2d_45.b_0" shape = [512] dtype = "float32" min_val = float("-4.33839") @@ -1639,6 +1788,7 @@ class Program_weight_tensor_parameter_148: class Program_weight_tensor_parameter_149: name = "parameter_149" + original_name = "conv2d_45.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-1.21034") @@ -1650,6 +1800,7 @@ class Program_weight_tensor_parameter_149: class Program_weight_tensor_parameter_150: name = "parameter_150" + original_name = "batch_norm2d_20.b_0" shape = [128] dtype = "float32" min_val = float("-0.782105") @@ -1661,6 +1812,7 @@ class Program_weight_tensor_parameter_150: class Program_weight_tensor_parameter_151: name = "parameter_151" + original_name = "batch_norm2d_20.w_0" shape = [128] dtype = "float32" min_val = float("0.830842") @@ -1672,6 +1824,7 @@ class Program_weight_tensor_parameter_151: class Program_weight_tensor_parameter_152: name = "parameter_152" + original_name = "batch_norm2d_20.w_2" shape = [128] dtype = "float32" min_val = float("0.00747972") @@ -1683,6 +1836,7 @@ class Program_weight_tensor_parameter_152: class Program_weight_tensor_parameter_153: name = "parameter_153" + original_name = "batch_norm2d_20.w_1" shape = [128] dtype = "float32" min_val = float("-3.33865") @@ -1694,6 +1848,7 @@ class Program_weight_tensor_parameter_153: class Program_weight_tensor_parameter_154: name = "parameter_154" + original_name = "conv2d_44.b_0" shape = [128] dtype = "float32" min_val = float("-0.146192") @@ -1705,6 +1860,7 @@ class Program_weight_tensor_parameter_154: class Program_weight_tensor_parameter_155: name = "parameter_155" + original_name = "conv2d_44.w_0" shape = [128, 1, 7, 7] dtype = "float32" min_val = float("-1.55611") @@ -1716,6 +1872,7 @@ class Program_weight_tensor_parameter_155: class Program_weight_tensor_parameter_156: name = "parameter_156" + original_name = "conv2d_43.b_0" shape = [128] dtype = "float32" min_val = float("-0.83444") @@ -1727,6 +1884,7 @@ class Program_weight_tensor_parameter_156: class Program_weight_tensor_parameter_157: name = "parameter_157" + original_name = "conv2d_43.w_0" shape = [128, 1, 7, 7] dtype = "float32" min_val = float("-0.53853") @@ -1738,6 +1896,7 @@ class Program_weight_tensor_parameter_157: class Program_weight_tensor_parameter_158: name = "parameter_158" + original_name = "batch_norm2d_19.b_0" shape = [128] dtype = "float32" min_val = float("-0.522073") @@ -1749,6 +1908,7 @@ class Program_weight_tensor_parameter_158: class Program_weight_tensor_parameter_159: name = "parameter_159" + original_name = "batch_norm2d_19.w_0" shape = [128] dtype = "float32" min_val = float("0.11696") @@ -1760,6 +1920,7 @@ class Program_weight_tensor_parameter_159: class Program_weight_tensor_parameter_160: name = "parameter_160" + original_name = "batch_norm2d_19.w_2" shape = [128] dtype = "float32" min_val = float("1.57934") @@ -1771,6 +1932,7 @@ class Program_weight_tensor_parameter_160: class Program_weight_tensor_parameter_161: name = "parameter_161" + original_name = "batch_norm2d_19.w_1" shape = [128] dtype = "float32" min_val = float("-1.19534") @@ -1782,6 +1944,7 @@ class Program_weight_tensor_parameter_161: class Program_weight_tensor_parameter_162: name = "parameter_162" + original_name = "conv2d_42.b_0" shape = [128] dtype = "float32" min_val = float("-0.0436405") @@ -1793,6 +1956,7 @@ class Program_weight_tensor_parameter_162: class Program_weight_tensor_parameter_163: name = "parameter_163" + original_name = "conv2d_42.w_0" shape = [128, 512, 1, 1] dtype = "float32" min_val = float("-0.96654") @@ -1804,6 +1968,7 @@ class Program_weight_tensor_parameter_163: class Program_weight_tensor_parameter_164: name = "parameter_164" + original_name = "conv2d_41.b_0" shape = [512] dtype = "float32" min_val = float("-2.93958") @@ -1815,6 +1980,7 @@ class Program_weight_tensor_parameter_164: class Program_weight_tensor_parameter_165: name = "parameter_165" + original_name = "conv2d_41.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.894595") @@ -1826,6 +1992,7 @@ class Program_weight_tensor_parameter_165: class Program_weight_tensor_parameter_166: name = "parameter_166" + original_name = "conv2d_40.b_0" shape = [512] dtype = "float32" min_val = float("-3.35702") @@ -1837,6 +2004,7 @@ class Program_weight_tensor_parameter_166: class Program_weight_tensor_parameter_167: name = "parameter_167" + original_name = "conv2d_40.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-1.0906") @@ -1848,6 +2016,7 @@ class Program_weight_tensor_parameter_167: class Program_weight_tensor_parameter_168: name = "parameter_168" + original_name = "batch_norm2d_18.b_0" shape = [128] dtype = "float32" min_val = float("-1.01429") @@ -1859,6 +2028,7 @@ class Program_weight_tensor_parameter_168: class Program_weight_tensor_parameter_169: name = "parameter_169" + original_name = "batch_norm2d_18.w_0" shape = [128] dtype = "float32" min_val = float("0.801231") @@ -1870,6 +2040,7 @@ class Program_weight_tensor_parameter_169: class Program_weight_tensor_parameter_170: name = "parameter_170" + original_name = "batch_norm2d_18.w_2" shape = [128] dtype = "float32" min_val = float("0.00213181") @@ -1881,6 +2052,7 @@ class Program_weight_tensor_parameter_170: class Program_weight_tensor_parameter_171: name = "parameter_171" + original_name = "batch_norm2d_18.w_1" shape = [128] dtype = "float32" min_val = float("-1.15034") @@ -1892,6 +2064,7 @@ class Program_weight_tensor_parameter_171: class Program_weight_tensor_parameter_172: name = "parameter_172" + original_name = "conv2d_39.b_0" shape = [128] dtype = "float32" min_val = float("-0.151715") @@ -1903,6 +2076,7 @@ class Program_weight_tensor_parameter_172: class Program_weight_tensor_parameter_173: name = "parameter_173" + original_name = "conv2d_39.w_0" shape = [128, 1, 7, 7] dtype = "float32" min_val = float("-1.3129") @@ -1914,6 +2088,7 @@ class Program_weight_tensor_parameter_173: class Program_weight_tensor_parameter_174: name = "parameter_174" + original_name = "conv2d_38.b_0" shape = [128] dtype = "float32" min_val = float("-0.687397") @@ -1925,6 +2100,7 @@ class Program_weight_tensor_parameter_174: class Program_weight_tensor_parameter_175: name = "parameter_175" + original_name = "conv2d_38.w_0" shape = [128, 1, 7, 7] dtype = "float32" min_val = float("-0.603528") @@ -1936,6 +2112,7 @@ class Program_weight_tensor_parameter_175: class Program_weight_tensor_parameter_176: name = "parameter_176" + original_name = "batch_norm2d_17.b_0" shape = [128] dtype = "float32" min_val = float("-0.733037") @@ -1947,6 +2124,7 @@ class Program_weight_tensor_parameter_176: class Program_weight_tensor_parameter_177: name = "parameter_177" + original_name = "batch_norm2d_17.w_0" shape = [128] dtype = "float32" min_val = float("0.0790904") @@ -1958,6 +2136,7 @@ class Program_weight_tensor_parameter_177: class Program_weight_tensor_parameter_178: name = "parameter_178" + original_name = "batch_norm2d_17.w_2" shape = [128] dtype = "float32" min_val = float("3.2093") @@ -1969,6 +2148,7 @@ class Program_weight_tensor_parameter_178: class Program_weight_tensor_parameter_179: name = "parameter_179" + original_name = "batch_norm2d_17.w_1" shape = [128] dtype = "float32" min_val = float("-1.97124") @@ -1980,6 +2160,7 @@ class Program_weight_tensor_parameter_179: class Program_weight_tensor_parameter_180: name = "parameter_180" + original_name = "conv2d_37.b_0" shape = [128] dtype = "float32" min_val = float("-0.0446616") @@ -1991,6 +2172,7 @@ class Program_weight_tensor_parameter_180: class Program_weight_tensor_parameter_181: name = "parameter_181" + original_name = "conv2d_37.w_0" shape = [128, 512, 1, 1] dtype = "float32" min_val = float("-0.820741") @@ -2002,6 +2184,7 @@ class Program_weight_tensor_parameter_181: class Program_weight_tensor_parameter_182: name = "parameter_182" + original_name = "conv2d_36.b_0" shape = [512] dtype = "float32" min_val = float("-4.73811") @@ -2013,6 +2196,7 @@ class Program_weight_tensor_parameter_182: class Program_weight_tensor_parameter_183: name = "parameter_183" + original_name = "conv2d_36.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.741076") @@ -2024,6 +2208,7 @@ class Program_weight_tensor_parameter_183: class Program_weight_tensor_parameter_184: name = "parameter_184" + original_name = "conv2d_35.b_0" shape = [512] dtype = "float32" min_val = float("-5.24675") @@ -2035,6 +2220,7 @@ class Program_weight_tensor_parameter_184: class Program_weight_tensor_parameter_185: name = "parameter_185" + original_name = "conv2d_35.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.852535") @@ -2046,6 +2232,7 @@ class Program_weight_tensor_parameter_185: class Program_weight_tensor_parameter_186: name = "parameter_186" + original_name = "batch_norm2d_16.b_0" shape = [128] dtype = "float32" min_val = float("-0.608736") @@ -2057,6 +2244,7 @@ class Program_weight_tensor_parameter_186: class Program_weight_tensor_parameter_187: name = "parameter_187" + original_name = "batch_norm2d_16.w_0" shape = [128] dtype = "float32" min_val = float("0.803377") @@ -2068,6 +2256,7 @@ class Program_weight_tensor_parameter_187: class Program_weight_tensor_parameter_188: name = "parameter_188" + original_name = "batch_norm2d_16.w_2" shape = [128] dtype = "float32" min_val = float("0.000354775") @@ -2079,6 +2268,7 @@ class Program_weight_tensor_parameter_188: class Program_weight_tensor_parameter_189: name = "parameter_189" + original_name = "batch_norm2d_16.w_1" shape = [128] dtype = "float32" min_val = float("-1.55534") @@ -2090,6 +2280,7 @@ class Program_weight_tensor_parameter_189: class Program_weight_tensor_parameter_190: name = "parameter_190" + original_name = "conv2d_34.b_0" shape = [128] dtype = "float32" min_val = float("-0.190776") @@ -2101,6 +2292,7 @@ class Program_weight_tensor_parameter_190: class Program_weight_tensor_parameter_191: name = "parameter_191" + original_name = "conv2d_34.w_0" shape = [128, 1, 7, 7] dtype = "float32" min_val = float("-1.54169") @@ -2112,6 +2304,7 @@ class Program_weight_tensor_parameter_191: class Program_weight_tensor_parameter_192: name = "parameter_192" + original_name = "conv2d_33.b_0" shape = [128] dtype = "float32" min_val = float("-1.82233") @@ -2123,6 +2316,7 @@ class Program_weight_tensor_parameter_192: class Program_weight_tensor_parameter_193: name = "parameter_193" + original_name = "conv2d_33.w_0" shape = [128, 1, 7, 7] dtype = "float32" min_val = float("-0.522098") @@ -2134,6 +2328,7 @@ class Program_weight_tensor_parameter_193: class Program_weight_tensor_parameter_194: name = "parameter_194" + original_name = "batch_norm2d_15.b_0" shape = [128] dtype = "float32" min_val = float("-1.18518") @@ -2145,6 +2340,7 @@ class Program_weight_tensor_parameter_194: class Program_weight_tensor_parameter_195: name = "parameter_195" + original_name = "batch_norm2d_15.w_0" shape = [128] dtype = "float32" min_val = float("0.0397242") @@ -2156,6 +2352,7 @@ class Program_weight_tensor_parameter_195: class Program_weight_tensor_parameter_196: name = "parameter_196" + original_name = "batch_norm2d_15.w_2" shape = [128] dtype = "float32" min_val = float("4.83714") @@ -2167,6 +2364,7 @@ class Program_weight_tensor_parameter_196: class Program_weight_tensor_parameter_197: name = "parameter_197" + original_name = "batch_norm2d_15.w_1" shape = [128] dtype = "float32" min_val = float("-3.40834") @@ -2178,6 +2376,7 @@ class Program_weight_tensor_parameter_197: class Program_weight_tensor_parameter_198: name = "parameter_198" + original_name = "conv2d_32.b_0" shape = [128] dtype = "float32" min_val = float("-0.0500022") @@ -2189,6 +2388,7 @@ class Program_weight_tensor_parameter_198: class Program_weight_tensor_parameter_199: name = "parameter_199" + original_name = "conv2d_32.w_0" shape = [128, 512, 1, 1] dtype = "float32" min_val = float("-0.823636") @@ -2200,6 +2400,7 @@ class Program_weight_tensor_parameter_199: class Program_weight_tensor_parameter_200: name = "parameter_200" + original_name = "conv2d_31.b_0" shape = [512] dtype = "float32" min_val = float("-5.224") @@ -2211,6 +2412,7 @@ class Program_weight_tensor_parameter_200: class Program_weight_tensor_parameter_201: name = "parameter_201" + original_name = "conv2d_31.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.779076") @@ -2222,6 +2424,7 @@ class Program_weight_tensor_parameter_201: class Program_weight_tensor_parameter_202: name = "parameter_202" + original_name = "conv2d_30.b_0" shape = [512] dtype = "float32" min_val = float("-3.17885") @@ -2233,6 +2436,7 @@ class Program_weight_tensor_parameter_202: class Program_weight_tensor_parameter_203: name = "parameter_203" + original_name = "conv2d_30.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.886523") @@ -2244,6 +2448,7 @@ class Program_weight_tensor_parameter_203: class Program_weight_tensor_parameter_204: name = "parameter_204" + original_name = "batch_norm2d_14.b_0" shape = [128] dtype = "float32" min_val = float("-0.735672") @@ -2255,6 +2460,7 @@ class Program_weight_tensor_parameter_204: class Program_weight_tensor_parameter_205: name = "parameter_205" + original_name = "batch_norm2d_14.w_0" shape = [128] dtype = "float32" min_val = float("0.751067") @@ -2266,6 +2472,7 @@ class Program_weight_tensor_parameter_205: class Program_weight_tensor_parameter_206: name = "parameter_206" + original_name = "batch_norm2d_14.w_2" shape = [128] dtype = "float32" min_val = float("4.49702e-05") @@ -2277,6 +2484,7 @@ class Program_weight_tensor_parameter_206: class Program_weight_tensor_parameter_207: name = "parameter_207" + original_name = "batch_norm2d_14.w_1" shape = [128] dtype = "float32" min_val = float("-2.61811") @@ -2288,6 +2496,7 @@ class Program_weight_tensor_parameter_207: class Program_weight_tensor_parameter_208: name = "parameter_208" + original_name = "conv2d_29.b_0" shape = [128] dtype = "float32" min_val = float("-0.211909") @@ -2299,6 +2508,7 @@ class Program_weight_tensor_parameter_208: class Program_weight_tensor_parameter_209: name = "parameter_209" + original_name = "conv2d_29.w_0" shape = [128, 1, 7, 7] dtype = "float32" min_val = float("-0.931733") @@ -2310,6 +2520,7 @@ class Program_weight_tensor_parameter_209: class Program_weight_tensor_parameter_210: name = "parameter_210" + original_name = "conv2d_28.b_0" shape = [128] dtype = "float32" min_val = float("-0.932001") @@ -2321,6 +2532,7 @@ class Program_weight_tensor_parameter_210: class Program_weight_tensor_parameter_211: name = "parameter_211" + original_name = "conv2d_28.w_0" shape = [128, 1, 7, 7] dtype = "float32" min_val = float("-0.586012") @@ -2332,6 +2544,7 @@ class Program_weight_tensor_parameter_211: class Program_weight_tensor_parameter_212: name = "parameter_212" + original_name = "batch_norm2d_13.b_0" shape = [128] dtype = "float32" min_val = float("-0.795953") @@ -2343,6 +2556,7 @@ class Program_weight_tensor_parameter_212: class Program_weight_tensor_parameter_213: name = "parameter_213" + original_name = "batch_norm2d_13.w_0" shape = [128] dtype = "float32" min_val = float("-0.0151424") @@ -2354,6 +2568,7 @@ class Program_weight_tensor_parameter_213: class Program_weight_tensor_parameter_214: name = "parameter_214" + original_name = "batch_norm2d_13.w_2" shape = [128] dtype = "float32" min_val = float("3.0954") @@ -2365,6 +2580,7 @@ class Program_weight_tensor_parameter_214: class Program_weight_tensor_parameter_215: name = "parameter_215" + original_name = "batch_norm2d_13.w_1" shape = [128] dtype = "float32" min_val = float("-2.57355") @@ -2376,6 +2592,7 @@ class Program_weight_tensor_parameter_215: class Program_weight_tensor_parameter_216: name = "parameter_216" + original_name = "conv2d_27.b_0" shape = [128] dtype = "float32" min_val = float("-0.0478978") @@ -2387,6 +2604,7 @@ class Program_weight_tensor_parameter_216: class Program_weight_tensor_parameter_217: name = "parameter_217" + original_name = "conv2d_27.w_0" shape = [128, 512, 1, 1] dtype = "float32" min_val = float("-1.12895") @@ -2398,6 +2616,7 @@ class Program_weight_tensor_parameter_217: class Program_weight_tensor_parameter_218: name = "parameter_218" + original_name = "conv2d_26.b_0" shape = [512] dtype = "float32" min_val = float("-3.84246") @@ -2409,6 +2628,7 @@ class Program_weight_tensor_parameter_218: class Program_weight_tensor_parameter_219: name = "parameter_219" + original_name = "conv2d_26.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.642186") @@ -2420,6 +2640,7 @@ class Program_weight_tensor_parameter_219: class Program_weight_tensor_parameter_220: name = "parameter_220" + original_name = "conv2d_25.b_0" shape = [512] dtype = "float32" min_val = float("-3.49728") @@ -2431,6 +2652,7 @@ class Program_weight_tensor_parameter_220: class Program_weight_tensor_parameter_221: name = "parameter_221" + original_name = "conv2d_25.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.831621") @@ -2442,6 +2664,7 @@ class Program_weight_tensor_parameter_221: class Program_weight_tensor_parameter_222: name = "parameter_222" + original_name = "batch_norm2d_12.b_0" shape = [128] dtype = "float32" min_val = float("-0.563247") @@ -2453,6 +2676,7 @@ class Program_weight_tensor_parameter_222: class Program_weight_tensor_parameter_223: name = "parameter_223" + original_name = "batch_norm2d_12.w_0" shape = [128] dtype = "float32" min_val = float("0.762424") @@ -2464,6 +2688,7 @@ class Program_weight_tensor_parameter_223: class Program_weight_tensor_parameter_224: name = "parameter_224" + original_name = "batch_norm2d_12.w_2" shape = [128] dtype = "float32" min_val = float("1.9506e-05") @@ -2475,6 +2700,7 @@ class Program_weight_tensor_parameter_224: class Program_weight_tensor_parameter_225: name = "parameter_225" + original_name = "batch_norm2d_12.w_1" shape = [128] dtype = "float32" min_val = float("-1.45353") @@ -2486,6 +2712,7 @@ class Program_weight_tensor_parameter_225: class Program_weight_tensor_parameter_226: name = "parameter_226" + original_name = "conv2d_24.b_0" shape = [128] dtype = "float32" min_val = float("-0.25757") @@ -2497,6 +2724,7 @@ class Program_weight_tensor_parameter_226: class Program_weight_tensor_parameter_227: name = "parameter_227" + original_name = "conv2d_24.w_0" shape = [128, 1, 7, 7] dtype = "float32" min_val = float("-1.48411") @@ -2508,6 +2736,7 @@ class Program_weight_tensor_parameter_227: class Program_weight_tensor_parameter_228: name = "parameter_228" + original_name = "batch_norm2d_11.b_0" shape = [128] dtype = "float32" min_val = float("-1.90235") @@ -2519,6 +2748,7 @@ class Program_weight_tensor_parameter_228: class Program_weight_tensor_parameter_229: name = "parameter_229" + original_name = "batch_norm2d_11.w_0" shape = [128] dtype = "float32" min_val = float("0.00511136") @@ -2530,6 +2760,7 @@ class Program_weight_tensor_parameter_229: class Program_weight_tensor_parameter_230: name = "parameter_230" + original_name = "batch_norm2d_11.w_2" shape = [128] dtype = "float32" min_val = float("14.4718") @@ -2541,6 +2772,7 @@ class Program_weight_tensor_parameter_230: class Program_weight_tensor_parameter_231: name = "parameter_231" + original_name = "batch_norm2d_11.w_1" shape = [128] dtype = "float32" min_val = float("-9.16758") @@ -2552,6 +2784,7 @@ class Program_weight_tensor_parameter_231: class Program_weight_tensor_parameter_232: name = "parameter_232" + original_name = "conv2d_23.b_0" shape = [128] dtype = "float32" min_val = float("-0.0478414") @@ -2563,6 +2796,7 @@ class Program_weight_tensor_parameter_232: class Program_weight_tensor_parameter_233: name = "parameter_233" + original_name = "conv2d_23.w_0" shape = [128, 64, 3, 3] dtype = "float32" min_val = float("-1.43086") @@ -2574,6 +2808,7 @@ class Program_weight_tensor_parameter_233: class Program_weight_tensor_parameter_234: name = "parameter_234" + original_name = "conv2d_22.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -2583,6 +2818,7 @@ class Program_weight_tensor_parameter_234: class Program_weight_tensor_parameter_235: name = "parameter_235" + original_name = "conv2d_22.w_0" shape = [64, 1, 7, 7] dtype = "float32" min_val = float("-0.448925") @@ -2594,6 +2830,7 @@ class Program_weight_tensor_parameter_235: class Program_weight_tensor_parameter_236: name = "parameter_236" + original_name = "batch_norm2d_10.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -2603,6 +2840,7 @@ class Program_weight_tensor_parameter_236: class Program_weight_tensor_parameter_237: name = "parameter_237" + original_name = "batch_norm2d_10.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -2612,6 +2850,7 @@ class Program_weight_tensor_parameter_237: class Program_weight_tensor_parameter_238: name = "parameter_238" + original_name = "batch_norm2d_10.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -2621,6 +2860,7 @@ class Program_weight_tensor_parameter_238: class Program_weight_tensor_parameter_239: name = "parameter_239" + original_name = "batch_norm2d_10.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -2630,6 +2870,7 @@ class Program_weight_tensor_parameter_239: class Program_weight_tensor_parameter_240: name = "parameter_240" + original_name = "conv2d_21.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -2639,6 +2880,7 @@ class Program_weight_tensor_parameter_240: class Program_weight_tensor_parameter_241: name = "parameter_241" + original_name = "conv2d_21.w_0" shape = [64, 256, 1, 1] dtype = "float32" min_val = float("-0.634365") @@ -2650,6 +2892,7 @@ class Program_weight_tensor_parameter_241: class Program_weight_tensor_parameter_242: name = "parameter_242" + original_name = "conv2d_20.b_0" shape = [256] dtype = "float32" min_val = float("-3.42503") @@ -2661,6 +2904,7 @@ class Program_weight_tensor_parameter_242: class Program_weight_tensor_parameter_243: name = "parameter_243" + original_name = "conv2d_20.w_0" shape = [256, 64, 1, 1] dtype = "float32" min_val = float("-0.613943") @@ -2672,6 +2916,7 @@ class Program_weight_tensor_parameter_243: class Program_weight_tensor_parameter_244: name = "parameter_244" + original_name = "conv2d_19.b_0" shape = [256] dtype = "float32" min_val = float("-2.82363") @@ -2683,6 +2928,7 @@ class Program_weight_tensor_parameter_244: class Program_weight_tensor_parameter_245: name = "parameter_245" + original_name = "conv2d_19.w_0" shape = [256, 64, 1, 1] dtype = "float32" min_val = float("-0.488491") @@ -2694,6 +2940,7 @@ class Program_weight_tensor_parameter_245: class Program_weight_tensor_parameter_246: name = "parameter_246" + original_name = "batch_norm2d_9.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -2703,6 +2950,7 @@ class Program_weight_tensor_parameter_246: class Program_weight_tensor_parameter_247: name = "parameter_247" + original_name = "batch_norm2d_9.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -2712,6 +2960,7 @@ class Program_weight_tensor_parameter_247: class Program_weight_tensor_parameter_248: name = "parameter_248" + original_name = "batch_norm2d_9.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -2721,6 +2970,7 @@ class Program_weight_tensor_parameter_248: class Program_weight_tensor_parameter_249: name = "parameter_249" + original_name = "batch_norm2d_9.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -2730,6 +2980,7 @@ class Program_weight_tensor_parameter_249: class Program_weight_tensor_parameter_250: name = "parameter_250" + original_name = "conv2d_18.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -2739,6 +2990,7 @@ class Program_weight_tensor_parameter_250: class Program_weight_tensor_parameter_251: name = "parameter_251" + original_name = "conv2d_18.w_0" shape = [64, 1, 7, 7] dtype = "float32" min_val = float("-1.27112") @@ -2750,6 +3002,7 @@ class Program_weight_tensor_parameter_251: class Program_weight_tensor_parameter_252: name = "parameter_252" + original_name = "conv2d_17.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -2759,6 +3012,7 @@ class Program_weight_tensor_parameter_252: class Program_weight_tensor_parameter_253: name = "parameter_253" + original_name = "conv2d_17.w_0" shape = [64, 1, 7, 7] dtype = "float32" min_val = float("-0.54643") @@ -2770,6 +3024,7 @@ class Program_weight_tensor_parameter_253: class Program_weight_tensor_parameter_254: name = "parameter_254" + original_name = "batch_norm2d_8.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -2779,6 +3034,7 @@ class Program_weight_tensor_parameter_254: class Program_weight_tensor_parameter_255: name = "parameter_255" + original_name = "batch_norm2d_8.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -2788,6 +3044,7 @@ class Program_weight_tensor_parameter_255: class Program_weight_tensor_parameter_256: name = "parameter_256" + original_name = "batch_norm2d_8.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -2797,6 +3054,7 @@ class Program_weight_tensor_parameter_256: class Program_weight_tensor_parameter_257: name = "parameter_257" + original_name = "batch_norm2d_8.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -2806,6 +3064,7 @@ class Program_weight_tensor_parameter_257: class Program_weight_tensor_parameter_258: name = "parameter_258" + original_name = "conv2d_16.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -2815,6 +3074,7 @@ class Program_weight_tensor_parameter_258: class Program_weight_tensor_parameter_259: name = "parameter_259" + original_name = "conv2d_16.w_0" shape = [64, 256, 1, 1] dtype = "float32" min_val = float("-0.616802") @@ -2826,6 +3086,7 @@ class Program_weight_tensor_parameter_259: class Program_weight_tensor_parameter_260: name = "parameter_260" + original_name = "conv2d_15.b_0" shape = [256] dtype = "float32" min_val = float("-4.08191") @@ -2837,6 +3098,7 @@ class Program_weight_tensor_parameter_260: class Program_weight_tensor_parameter_261: name = "parameter_261" + original_name = "conv2d_15.w_0" shape = [256, 64, 1, 1] dtype = "float32" min_val = float("-0.672566") @@ -2848,6 +3110,7 @@ class Program_weight_tensor_parameter_261: class Program_weight_tensor_parameter_262: name = "parameter_262" + original_name = "conv2d_14.b_0" shape = [256] dtype = "float32" min_val = float("-4.93584") @@ -2859,6 +3122,7 @@ class Program_weight_tensor_parameter_262: class Program_weight_tensor_parameter_263: name = "parameter_263" + original_name = "conv2d_14.w_0" shape = [256, 64, 1, 1] dtype = "float32" min_val = float("-0.737905") @@ -2870,6 +3134,7 @@ class Program_weight_tensor_parameter_263: class Program_weight_tensor_parameter_264: name = "parameter_264" + original_name = "batch_norm2d_7.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -2879,6 +3144,7 @@ class Program_weight_tensor_parameter_264: class Program_weight_tensor_parameter_265: name = "parameter_265" + original_name = "batch_norm2d_7.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -2888,6 +3154,7 @@ class Program_weight_tensor_parameter_265: class Program_weight_tensor_parameter_266: name = "parameter_266" + original_name = "batch_norm2d_7.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -2897,6 +3164,7 @@ class Program_weight_tensor_parameter_266: class Program_weight_tensor_parameter_267: name = "parameter_267" + original_name = "batch_norm2d_7.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -2906,6 +3174,7 @@ class Program_weight_tensor_parameter_267: class Program_weight_tensor_parameter_268: name = "parameter_268" + original_name = "conv2d_13.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -2915,6 +3184,7 @@ class Program_weight_tensor_parameter_268: class Program_weight_tensor_parameter_269: name = "parameter_269" + original_name = "conv2d_13.w_0" shape = [64, 1, 7, 7] dtype = "float32" min_val = float("-1.32945") @@ -2926,6 +3196,7 @@ class Program_weight_tensor_parameter_269: class Program_weight_tensor_parameter_270: name = "parameter_270" + original_name = "batch_norm2d_6.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -2935,6 +3206,7 @@ class Program_weight_tensor_parameter_270: class Program_weight_tensor_parameter_271: name = "parameter_271" + original_name = "batch_norm2d_6.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -2944,6 +3216,7 @@ class Program_weight_tensor_parameter_271: class Program_weight_tensor_parameter_272: name = "parameter_272" + original_name = "batch_norm2d_6.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -2953,6 +3226,7 @@ class Program_weight_tensor_parameter_272: class Program_weight_tensor_parameter_273: name = "parameter_273" + original_name = "batch_norm2d_6.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -2962,6 +3236,7 @@ class Program_weight_tensor_parameter_273: class Program_weight_tensor_parameter_274: name = "parameter_274" + original_name = "conv2d_12.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -2971,6 +3246,7 @@ class Program_weight_tensor_parameter_274: class Program_weight_tensor_parameter_275: name = "parameter_275" + original_name = "conv2d_12.w_0" shape = [64, 32, 3, 3] dtype = "float32" min_val = float("-1.18057") @@ -2982,6 +3258,7 @@ class Program_weight_tensor_parameter_275: class Program_weight_tensor_parameter_276: name = "parameter_276" + original_name = "conv2d_11.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -2991,6 +3268,7 @@ class Program_weight_tensor_parameter_276: class Program_weight_tensor_parameter_277: name = "parameter_277" + original_name = "conv2d_11.w_0" shape = [32, 1, 7, 7] dtype = "float32" min_val = float("-0.354859") @@ -3002,6 +3280,7 @@ class Program_weight_tensor_parameter_277: class Program_weight_tensor_parameter_278: name = "parameter_278" + original_name = "batch_norm2d_5.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -3011,6 +3290,7 @@ class Program_weight_tensor_parameter_278: class Program_weight_tensor_parameter_279: name = "parameter_279" + original_name = "batch_norm2d_5.w_0" shape = [32] dtype = "float32" min_val = float("0") @@ -3020,6 +3300,7 @@ class Program_weight_tensor_parameter_279: class Program_weight_tensor_parameter_280: name = "parameter_280" + original_name = "batch_norm2d_5.w_2" shape = [32] dtype = "float32" min_val = float("0") @@ -3029,6 +3310,7 @@ class Program_weight_tensor_parameter_280: class Program_weight_tensor_parameter_281: name = "parameter_281" + original_name = "batch_norm2d_5.w_1" shape = [32] dtype = "float32" min_val = float("0") @@ -3038,6 +3320,7 @@ class Program_weight_tensor_parameter_281: class Program_weight_tensor_parameter_282: name = "parameter_282" + original_name = "conv2d_10.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -3047,6 +3330,7 @@ class Program_weight_tensor_parameter_282: class Program_weight_tensor_parameter_283: name = "parameter_283" + original_name = "conv2d_10.w_0" shape = [32, 128, 1, 1] dtype = "float32" min_val = float("-0.655816") @@ -3058,6 +3342,7 @@ class Program_weight_tensor_parameter_283: class Program_weight_tensor_parameter_284: name = "parameter_284" + original_name = "conv2d_9.b_0" shape = [128] dtype = "float32" min_val = float("-2.74111") @@ -3069,6 +3354,7 @@ class Program_weight_tensor_parameter_284: class Program_weight_tensor_parameter_285: name = "parameter_285" + original_name = "conv2d_9.w_0" shape = [128, 32, 1, 1] dtype = "float32" min_val = float("-0.415445") @@ -3080,6 +3366,7 @@ class Program_weight_tensor_parameter_285: class Program_weight_tensor_parameter_286: name = "parameter_286" + original_name = "conv2d_8.b_0" shape = [128] dtype = "float32" min_val = float("-0.872147") @@ -3091,6 +3378,7 @@ class Program_weight_tensor_parameter_286: class Program_weight_tensor_parameter_287: name = "parameter_287" + original_name = "conv2d_8.w_0" shape = [128, 32, 1, 1] dtype = "float32" min_val = float("-0.468106") @@ -3102,6 +3390,7 @@ class Program_weight_tensor_parameter_287: class Program_weight_tensor_parameter_288: name = "parameter_288" + original_name = "batch_norm2d_4.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -3111,6 +3400,7 @@ class Program_weight_tensor_parameter_288: class Program_weight_tensor_parameter_289: name = "parameter_289" + original_name = "batch_norm2d_4.w_0" shape = [32] dtype = "float32" min_val = float("0") @@ -3120,6 +3410,7 @@ class Program_weight_tensor_parameter_289: class Program_weight_tensor_parameter_290: name = "parameter_290" + original_name = "batch_norm2d_4.w_2" shape = [32] dtype = "float32" min_val = float("0") @@ -3129,6 +3420,7 @@ class Program_weight_tensor_parameter_290: class Program_weight_tensor_parameter_291: name = "parameter_291" + original_name = "batch_norm2d_4.w_1" shape = [32] dtype = "float32" min_val = float("0") @@ -3138,6 +3430,7 @@ class Program_weight_tensor_parameter_291: class Program_weight_tensor_parameter_292: name = "parameter_292" + original_name = "conv2d_7.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -3147,6 +3440,7 @@ class Program_weight_tensor_parameter_292: class Program_weight_tensor_parameter_293: name = "parameter_293" + original_name = "conv2d_7.w_0" shape = [32, 1, 7, 7] dtype = "float32" min_val = float("-0.606701") @@ -3158,6 +3452,7 @@ class Program_weight_tensor_parameter_293: class Program_weight_tensor_parameter_294: name = "parameter_294" + original_name = "conv2d_6.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -3167,6 +3462,7 @@ class Program_weight_tensor_parameter_294: class Program_weight_tensor_parameter_295: name = "parameter_295" + original_name = "conv2d_6.w_0" shape = [32, 1, 7, 7] dtype = "float32" min_val = float("-0.464884") @@ -3178,6 +3474,7 @@ class Program_weight_tensor_parameter_295: class Program_weight_tensor_parameter_296: name = "parameter_296" + original_name = "batch_norm2d_3.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -3187,6 +3484,7 @@ class Program_weight_tensor_parameter_296: class Program_weight_tensor_parameter_297: name = "parameter_297" + original_name = "batch_norm2d_3.w_0" shape = [32] dtype = "float32" min_val = float("0") @@ -3196,6 +3494,7 @@ class Program_weight_tensor_parameter_297: class Program_weight_tensor_parameter_298: name = "parameter_298" + original_name = "batch_norm2d_3.w_2" shape = [32] dtype = "float32" min_val = float("0") @@ -3205,6 +3504,7 @@ class Program_weight_tensor_parameter_298: class Program_weight_tensor_parameter_299: name = "parameter_299" + original_name = "batch_norm2d_3.w_1" shape = [32] dtype = "float32" min_val = float("0") @@ -3214,6 +3514,7 @@ class Program_weight_tensor_parameter_299: class Program_weight_tensor_parameter_300: name = "parameter_300" + original_name = "conv2d_5.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -3223,6 +3524,7 @@ class Program_weight_tensor_parameter_300: class Program_weight_tensor_parameter_301: name = "parameter_301" + original_name = "conv2d_5.w_0" shape = [32, 128, 1, 1] dtype = "float32" min_val = float("-0.7162") @@ -3234,6 +3536,7 @@ class Program_weight_tensor_parameter_301: class Program_weight_tensor_parameter_302: name = "parameter_302" + original_name = "conv2d_4.b_0" shape = [128] dtype = "float32" min_val = float("-2.86647") @@ -3245,6 +3548,7 @@ class Program_weight_tensor_parameter_302: class Program_weight_tensor_parameter_303: name = "parameter_303" + original_name = "conv2d_4.w_0" shape = [128, 32, 1, 1] dtype = "float32" min_val = float("-0.498038") @@ -3256,6 +3560,7 @@ class Program_weight_tensor_parameter_303: class Program_weight_tensor_parameter_304: name = "parameter_304" + original_name = "conv2d_3.b_0" shape = [128] dtype = "float32" min_val = float("-0.253909") @@ -3267,6 +3572,7 @@ class Program_weight_tensor_parameter_304: class Program_weight_tensor_parameter_305: name = "parameter_305" + original_name = "conv2d_3.w_0" shape = [128, 32, 1, 1] dtype = "float32" min_val = float("-0.60379") @@ -3278,6 +3584,7 @@ class Program_weight_tensor_parameter_305: class Program_weight_tensor_parameter_306: name = "parameter_306" + original_name = "batch_norm2d_2.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -3287,6 +3594,7 @@ class Program_weight_tensor_parameter_306: class Program_weight_tensor_parameter_307: name = "parameter_307" + original_name = "batch_norm2d_2.w_0" shape = [32] dtype = "float32" min_val = float("0") @@ -3296,6 +3604,7 @@ class Program_weight_tensor_parameter_307: class Program_weight_tensor_parameter_308: name = "parameter_308" + original_name = "batch_norm2d_2.w_2" shape = [32] dtype = "float32" min_val = float("0") @@ -3305,6 +3614,7 @@ class Program_weight_tensor_parameter_308: class Program_weight_tensor_parameter_309: name = "parameter_309" + original_name = "batch_norm2d_2.w_1" shape = [32] dtype = "float32" min_val = float("0") @@ -3314,6 +3624,7 @@ class Program_weight_tensor_parameter_309: class Program_weight_tensor_parameter_310: name = "parameter_310" + original_name = "conv2d_2.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -3323,6 +3634,7 @@ class Program_weight_tensor_parameter_310: class Program_weight_tensor_parameter_311: name = "parameter_311" + original_name = "conv2d_2.w_0" shape = [32, 1, 7, 7] dtype = "float32" min_val = float("-2.18855") @@ -3334,6 +3646,7 @@ class Program_weight_tensor_parameter_311: class Program_weight_tensor_parameter_312: name = "parameter_312" + original_name = "batch_norm2d_1.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -3343,6 +3656,7 @@ class Program_weight_tensor_parameter_312: class Program_weight_tensor_parameter_313: name = "parameter_313" + original_name = "batch_norm2d_1.w_0" shape = [32] dtype = "float32" min_val = float("0") @@ -3352,6 +3666,7 @@ class Program_weight_tensor_parameter_313: class Program_weight_tensor_parameter_314: name = "parameter_314" + original_name = "batch_norm2d_1.w_2" shape = [32] dtype = "float32" min_val = float("0") @@ -3361,6 +3676,7 @@ class Program_weight_tensor_parameter_314: class Program_weight_tensor_parameter_315: name = "parameter_315" + original_name = "batch_norm2d_1.w_1" shape = [32] dtype = "float32" min_val = float("0") @@ -3370,6 +3686,7 @@ class Program_weight_tensor_parameter_315: class Program_weight_tensor_parameter_316: name = "parameter_316" + original_name = "conv2d_1.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -3379,6 +3696,7 @@ class Program_weight_tensor_parameter_316: class Program_weight_tensor_parameter_317: name = "parameter_317" + original_name = "conv2d_1.w_0" shape = [32, 32, 3, 3] dtype = "float32" min_val = float("-0.905919") @@ -3390,6 +3708,7 @@ class Program_weight_tensor_parameter_317: class Program_weight_tensor_parameter_318: name = "parameter_318" + original_name = "batch_norm2d_0.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -3399,6 +3718,7 @@ class Program_weight_tensor_parameter_318: class Program_weight_tensor_parameter_319: name = "parameter_319" + original_name = "batch_norm2d_0.w_0" shape = [32] dtype = "float32" min_val = float("0") @@ -3408,6 +3728,7 @@ class Program_weight_tensor_parameter_319: class Program_weight_tensor_parameter_320: name = "parameter_320" + original_name = "batch_norm2d_0.w_2" shape = [32] dtype = "float32" min_val = float("0") @@ -3417,6 +3738,7 @@ class Program_weight_tensor_parameter_320: class Program_weight_tensor_parameter_321: name = "parameter_321" + original_name = "batch_norm2d_0.w_1" shape = [32] dtype = "float32" min_val = float("0") @@ -3426,6 +3748,7 @@ class Program_weight_tensor_parameter_321: class Program_weight_tensor_parameter_322: name = "parameter_322" + original_name = "conv2d_0.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -3435,6 +3758,7 @@ class Program_weight_tensor_parameter_322: class Program_weight_tensor_parameter_323: name = "parameter_323" + original_name = "conv2d_0.w_0" shape = [32, 3, 3, 3] dtype = "float32" min_val = float("-0.224888") diff --git a/paddle_samples/PaddleX/StarNet-S4/subgraph_2/input_meta.py b/paddle_samples/PaddleX/StarNet-S4/subgraph_2/input_meta.py index a63c938ad..16dd05b89 100644 --- a/paddle_samples/PaddleX/StarNet-S4/subgraph_2/input_meta.py +++ b/paddle_samples/PaddleX/StarNet-S4/subgraph_2/input_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_data_0: name = "data_0" + original_name = "var_401" shape = [124, 3, 224, 224] dtype = "float32" min_val = float("-5.18906") diff --git a/paddle_samples/PaddleX/StarNet-S4/subgraph_2/weight_meta.py b/paddle_samples/PaddleX/StarNet-S4/subgraph_2/weight_meta.py index bb83d2ac6..00970eab2 100644 --- a/paddle_samples/PaddleX/StarNet-S4/subgraph_2/weight_meta.py +++ b/paddle_samples/PaddleX/StarNet-S4/subgraph_2/weight_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_parameter_0: name = "parameter_0" + original_name = "linear_0.b_0" shape = [102] dtype = "float32" min_val = float("-0.00224202") @@ -11,6 +12,7 @@ class Program_weight_tensor_parameter_0: class Program_weight_tensor_parameter_1: name = "parameter_1" + original_name = "linear_0.w_0" shape = [256, 102] dtype = "float32" min_val = float("-0.132778") @@ -22,6 +24,7 @@ class Program_weight_tensor_parameter_1: class Program_weight_tensor_parameter_2: name = "parameter_2" + original_name = "batch_norm2d_51.b_0" shape = [256] dtype = "float32" min_val = float("-0.0935415") @@ -33,6 +36,7 @@ class Program_weight_tensor_parameter_2: class Program_weight_tensor_parameter_3: name = "parameter_3" + original_name = "batch_norm2d_51.w_0" shape = [256] dtype = "float32" min_val = float("0.862541") @@ -44,6 +48,7 @@ class Program_weight_tensor_parameter_3: class Program_weight_tensor_parameter_4: name = "parameter_4" + original_name = "batch_norm2d_51.w_2" shape = [256] dtype = "float32" min_val = float("3.77081") @@ -55,6 +60,7 @@ class Program_weight_tensor_parameter_4: class Program_weight_tensor_parameter_5: name = "parameter_5" + original_name = "batch_norm2d_51.w_1" shape = [256] dtype = "float32" min_val = float("-5.68923") @@ -66,6 +72,7 @@ class Program_weight_tensor_parameter_5: class Program_weight_tensor_parameter_6: name = "parameter_6" + original_name = "conv2d_119.b_0" shape = [256] dtype = "float32" min_val = float("-1.84662") @@ -77,6 +84,7 @@ class Program_weight_tensor_parameter_6: class Program_weight_tensor_parameter_7: name = "parameter_7" + original_name = "conv2d_119.w_0" shape = [256, 1, 7, 7] dtype = "float32" min_val = float("-0.451804") @@ -88,6 +96,7 @@ class Program_weight_tensor_parameter_7: class Program_weight_tensor_parameter_8: name = "parameter_8" + original_name = "batch_norm2d_50.b_0" shape = [256] dtype = "float32" min_val = float("-0.788301") @@ -99,6 +108,7 @@ class Program_weight_tensor_parameter_8: class Program_weight_tensor_parameter_9: name = "parameter_9" + original_name = "batch_norm2d_50.w_0" shape = [256] dtype = "float32" min_val = float("0.940692") @@ -110,6 +120,7 @@ class Program_weight_tensor_parameter_9: class Program_weight_tensor_parameter_10: name = "parameter_10" + original_name = "batch_norm2d_50.w_2" shape = [256] dtype = "float32" min_val = float("8.76602") @@ -121,6 +132,7 @@ class Program_weight_tensor_parameter_10: class Program_weight_tensor_parameter_11: name = "parameter_11" + original_name = "batch_norm2d_50.w_1" shape = [256] dtype = "float32" min_val = float("-0.585623") @@ -132,6 +144,7 @@ class Program_weight_tensor_parameter_11: class Program_weight_tensor_parameter_12: name = "parameter_12" + original_name = "conv2d_118.b_0" shape = [256] dtype = "float32" min_val = float("-0.0312176") @@ -143,6 +156,7 @@ class Program_weight_tensor_parameter_12: class Program_weight_tensor_parameter_13: name = "parameter_13" + original_name = "conv2d_118.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.345988") @@ -154,6 +168,7 @@ class Program_weight_tensor_parameter_13: class Program_weight_tensor_parameter_14: name = "parameter_14" + original_name = "conv2d_117.b_0" shape = [1024] dtype = "float32" min_val = float("-3.01852") @@ -165,6 +180,7 @@ class Program_weight_tensor_parameter_14: class Program_weight_tensor_parameter_15: name = "parameter_15" + original_name = "conv2d_117.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.859317") @@ -176,6 +192,7 @@ class Program_weight_tensor_parameter_15: class Program_weight_tensor_parameter_16: name = "parameter_16" + original_name = "conv2d_116.b_0" shape = [1024] dtype = "float32" min_val = float("-3.9927") @@ -187,6 +204,7 @@ class Program_weight_tensor_parameter_16: class Program_weight_tensor_parameter_17: name = "parameter_17" + original_name = "conv2d_116.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.414521") @@ -198,6 +216,7 @@ class Program_weight_tensor_parameter_17: class Program_weight_tensor_parameter_18: name = "parameter_18" + original_name = "batch_norm2d_49.b_0" shape = [256] dtype = "float32" min_val = float("-0.590918") @@ -209,6 +228,7 @@ class Program_weight_tensor_parameter_18: class Program_weight_tensor_parameter_19: name = "parameter_19" + original_name = "batch_norm2d_49.w_0" shape = [256] dtype = "float32" min_val = float("0.825816") @@ -220,6 +240,7 @@ class Program_weight_tensor_parameter_19: class Program_weight_tensor_parameter_20: name = "parameter_20" + original_name = "batch_norm2d_49.w_2" shape = [256] dtype = "float32" min_val = float("0.20266") @@ -231,6 +252,7 @@ class Program_weight_tensor_parameter_20: class Program_weight_tensor_parameter_21: name = "parameter_21" + original_name = "batch_norm2d_49.w_1" shape = [256] dtype = "float32" min_val = float("-5.83376") @@ -242,6 +264,7 @@ class Program_weight_tensor_parameter_21: class Program_weight_tensor_parameter_22: name = "parameter_22" + original_name = "conv2d_115.b_0" shape = [256] dtype = "float32" min_val = float("-0.150682") @@ -253,6 +276,7 @@ class Program_weight_tensor_parameter_22: class Program_weight_tensor_parameter_23: name = "parameter_23" + original_name = "conv2d_115.w_0" shape = [256, 1, 7, 7] dtype = "float32" min_val = float("-1.31005") @@ -264,6 +288,7 @@ class Program_weight_tensor_parameter_23: class Program_weight_tensor_parameter_24: name = "parameter_24" + original_name = "conv2d_114.b_0" shape = [256] dtype = "float32" min_val = float("-0.995149") @@ -275,6 +300,7 @@ class Program_weight_tensor_parameter_24: class Program_weight_tensor_parameter_25: name = "parameter_25" + original_name = "conv2d_114.w_0" shape = [256, 1, 7, 7] dtype = "float32" min_val = float("-0.474546") @@ -286,6 +312,7 @@ class Program_weight_tensor_parameter_25: class Program_weight_tensor_parameter_26: name = "parameter_26" + original_name = "batch_norm2d_48.b_0" shape = [256] dtype = "float32" min_val = float("-1.79199") @@ -297,6 +324,7 @@ class Program_weight_tensor_parameter_26: class Program_weight_tensor_parameter_27: name = "parameter_27" + original_name = "batch_norm2d_48.w_0" shape = [256] dtype = "float32" min_val = float("0.739017") @@ -308,6 +336,7 @@ class Program_weight_tensor_parameter_27: class Program_weight_tensor_parameter_28: name = "parameter_28" + original_name = "batch_norm2d_48.w_2" shape = [256] dtype = "float32" min_val = float("2.49668") @@ -319,6 +348,7 @@ class Program_weight_tensor_parameter_28: class Program_weight_tensor_parameter_29: name = "parameter_29" + original_name = "batch_norm2d_48.w_1" shape = [256] dtype = "float32" min_val = float("-2.47973") @@ -330,6 +360,7 @@ class Program_weight_tensor_parameter_29: class Program_weight_tensor_parameter_30: name = "parameter_30" + original_name = "conv2d_113.b_0" shape = [256] dtype = "float32" min_val = float("-0.0314374") @@ -341,6 +372,7 @@ class Program_weight_tensor_parameter_30: class Program_weight_tensor_parameter_31: name = "parameter_31" + original_name = "conv2d_113.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.404197") @@ -352,6 +384,7 @@ class Program_weight_tensor_parameter_31: class Program_weight_tensor_parameter_32: name = "parameter_32" + original_name = "conv2d_112.b_0" shape = [1024] dtype = "float32" min_val = float("-4.52733") @@ -363,6 +396,7 @@ class Program_weight_tensor_parameter_32: class Program_weight_tensor_parameter_33: name = "parameter_33" + original_name = "conv2d_112.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.545753") @@ -374,6 +408,7 @@ class Program_weight_tensor_parameter_33: class Program_weight_tensor_parameter_34: name = "parameter_34" + original_name = "conv2d_111.b_0" shape = [1024] dtype = "float32" min_val = float("-4.02668") @@ -385,6 +420,7 @@ class Program_weight_tensor_parameter_34: class Program_weight_tensor_parameter_35: name = "parameter_35" + original_name = "conv2d_111.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.663076") @@ -396,6 +432,7 @@ class Program_weight_tensor_parameter_35: class Program_weight_tensor_parameter_36: name = "parameter_36" + original_name = "batch_norm2d_47.b_0" shape = [256] dtype = "float32" min_val = float("-1.73481") @@ -407,6 +444,7 @@ class Program_weight_tensor_parameter_36: class Program_weight_tensor_parameter_37: name = "parameter_37" + original_name = "batch_norm2d_47.w_0" shape = [256] dtype = "float32" min_val = float("0.0360077") @@ -418,6 +456,7 @@ class Program_weight_tensor_parameter_37: class Program_weight_tensor_parameter_38: name = "parameter_38" + original_name = "batch_norm2d_47.w_2" shape = [256] dtype = "float32" min_val = float("0.209583") @@ -429,6 +468,7 @@ class Program_weight_tensor_parameter_38: class Program_weight_tensor_parameter_39: name = "parameter_39" + original_name = "batch_norm2d_47.w_1" shape = [256] dtype = "float32" min_val = float("-2.16308") @@ -440,6 +480,7 @@ class Program_weight_tensor_parameter_39: class Program_weight_tensor_parameter_40: name = "parameter_40" + original_name = "conv2d_110.b_0" shape = [256] dtype = "float32" min_val = float("-0.142789") @@ -451,6 +492,7 @@ class Program_weight_tensor_parameter_40: class Program_weight_tensor_parameter_41: name = "parameter_41" + original_name = "conv2d_110.w_0" shape = [256, 1, 7, 7] dtype = "float32" min_val = float("-1.12913") @@ -462,6 +504,7 @@ class Program_weight_tensor_parameter_41: class Program_weight_tensor_parameter_42: name = "parameter_42" + original_name = "conv2d_109.b_0" shape = [256] dtype = "float32" min_val = float("-2.83035") @@ -473,6 +516,7 @@ class Program_weight_tensor_parameter_42: class Program_weight_tensor_parameter_43: name = "parameter_43" + original_name = "conv2d_109.w_0" shape = [256, 1, 7, 7] dtype = "float32" min_val = float("-0.444536") @@ -484,6 +528,7 @@ class Program_weight_tensor_parameter_43: class Program_weight_tensor_parameter_44: name = "parameter_44" + original_name = "batch_norm2d_46.b_0" shape = [256] dtype = "float32" min_val = float("-1.32623") @@ -495,6 +540,7 @@ class Program_weight_tensor_parameter_44: class Program_weight_tensor_parameter_45: name = "parameter_45" + original_name = "batch_norm2d_46.w_0" shape = [256] dtype = "float32" min_val = float("0.573188") @@ -506,6 +552,7 @@ class Program_weight_tensor_parameter_45: class Program_weight_tensor_parameter_46: name = "parameter_46" + original_name = "batch_norm2d_46.w_2" shape = [256] dtype = "float32" min_val = float("0.122334") @@ -517,6 +564,7 @@ class Program_weight_tensor_parameter_46: class Program_weight_tensor_parameter_47: name = "parameter_47" + original_name = "batch_norm2d_46.w_1" shape = [256] dtype = "float32" min_val = float("-0.204797") @@ -528,6 +576,7 @@ class Program_weight_tensor_parameter_47: class Program_weight_tensor_parameter_48: name = "parameter_48" + original_name = "conv2d_108.b_0" shape = [256] dtype = "float32" min_val = float("-0.0402677") @@ -539,6 +588,7 @@ class Program_weight_tensor_parameter_48: class Program_weight_tensor_parameter_49: name = "parameter_49" + original_name = "conv2d_108.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.317078") @@ -550,6 +600,7 @@ class Program_weight_tensor_parameter_49: class Program_weight_tensor_parameter_50: name = "parameter_50" + original_name = "conv2d_107.b_0" shape = [1024] dtype = "float32" min_val = float("-1.94129") @@ -561,6 +612,7 @@ class Program_weight_tensor_parameter_50: class Program_weight_tensor_parameter_51: name = "parameter_51" + original_name = "conv2d_107.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.421505") @@ -572,6 +624,7 @@ class Program_weight_tensor_parameter_51: class Program_weight_tensor_parameter_52: name = "parameter_52" + original_name = "conv2d_106.b_0" shape = [1024] dtype = "float32" min_val = float("-3.01847") @@ -583,6 +636,7 @@ class Program_weight_tensor_parameter_52: class Program_weight_tensor_parameter_53: name = "parameter_53" + original_name = "conv2d_106.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.340588") @@ -594,6 +648,7 @@ class Program_weight_tensor_parameter_53: class Program_weight_tensor_parameter_54: name = "parameter_54" + original_name = "batch_norm2d_45.b_0" shape = [256] dtype = "float32" min_val = float("-0.686937") @@ -605,6 +660,7 @@ class Program_weight_tensor_parameter_54: class Program_weight_tensor_parameter_55: name = "parameter_55" + original_name = "batch_norm2d_45.w_0" shape = [256] dtype = "float32" min_val = float("0.277554") @@ -616,6 +672,7 @@ class Program_weight_tensor_parameter_55: class Program_weight_tensor_parameter_56: name = "parameter_56" + original_name = "batch_norm2d_45.w_2" shape = [256] dtype = "float32" min_val = float("0.00638061") @@ -627,6 +684,7 @@ class Program_weight_tensor_parameter_56: class Program_weight_tensor_parameter_57: name = "parameter_57" + original_name = "batch_norm2d_45.w_1" shape = [256] dtype = "float32" min_val = float("-2.40107") @@ -638,6 +696,7 @@ class Program_weight_tensor_parameter_57: class Program_weight_tensor_parameter_58: name = "parameter_58" + original_name = "conv2d_105.b_0" shape = [256] dtype = "float32" min_val = float("-0.144772") @@ -649,6 +708,7 @@ class Program_weight_tensor_parameter_58: class Program_weight_tensor_parameter_59: name = "parameter_59" + original_name = "conv2d_105.w_0" shape = [256, 1, 7, 7] dtype = "float32" min_val = float("-1.62806") @@ -660,6 +720,7 @@ class Program_weight_tensor_parameter_59: class Program_weight_tensor_parameter_60: name = "parameter_60" + original_name = "conv2d_104.b_0" shape = [256] dtype = "float32" min_val = float("-0.903194") @@ -671,6 +732,7 @@ class Program_weight_tensor_parameter_60: class Program_weight_tensor_parameter_61: name = "parameter_61" + original_name = "conv2d_104.w_0" shape = [256, 1, 7, 7] dtype = "float32" min_val = float("-0.472713") @@ -682,6 +744,7 @@ class Program_weight_tensor_parameter_61: class Program_weight_tensor_parameter_62: name = "parameter_62" + original_name = "batch_norm2d_44.b_0" shape = [256] dtype = "float32" min_val = float("-0.552558") @@ -693,6 +756,7 @@ class Program_weight_tensor_parameter_62: class Program_weight_tensor_parameter_63: name = "parameter_63" + original_name = "batch_norm2d_44.w_0" shape = [256] dtype = "float32" min_val = float("0.268836") @@ -704,6 +768,7 @@ class Program_weight_tensor_parameter_63: class Program_weight_tensor_parameter_64: name = "parameter_64" + original_name = "batch_norm2d_44.w_2" shape = [256] dtype = "float32" min_val = float("1.99867") @@ -715,6 +780,7 @@ class Program_weight_tensor_parameter_64: class Program_weight_tensor_parameter_65: name = "parameter_65" + original_name = "batch_norm2d_44.w_1" shape = [256] dtype = "float32" min_val = float("-0.940692") @@ -726,6 +792,7 @@ class Program_weight_tensor_parameter_65: class Program_weight_tensor_parameter_66: name = "parameter_66" + original_name = "conv2d_103.b_0" shape = [256] dtype = "float32" min_val = float("-0.0351644") @@ -737,6 +804,7 @@ class Program_weight_tensor_parameter_66: class Program_weight_tensor_parameter_67: name = "parameter_67" + original_name = "conv2d_103.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-0.688841") @@ -748,6 +816,7 @@ class Program_weight_tensor_parameter_67: class Program_weight_tensor_parameter_68: name = "parameter_68" + original_name = "conv2d_102.b_0" shape = [1024] dtype = "float32" min_val = float("-2.60141") @@ -759,6 +828,7 @@ class Program_weight_tensor_parameter_68: class Program_weight_tensor_parameter_69: name = "parameter_69" + original_name = "conv2d_102.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.779816") @@ -770,6 +840,7 @@ class Program_weight_tensor_parameter_69: class Program_weight_tensor_parameter_70: name = "parameter_70" + original_name = "conv2d_101.b_0" shape = [1024] dtype = "float32" min_val = float("-3.42659") @@ -781,6 +852,7 @@ class Program_weight_tensor_parameter_70: class Program_weight_tensor_parameter_71: name = "parameter_71" + original_name = "conv2d_101.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.620109") @@ -792,6 +864,7 @@ class Program_weight_tensor_parameter_71: class Program_weight_tensor_parameter_72: name = "parameter_72" + original_name = "batch_norm2d_43.b_0" shape = [256] dtype = "float32" min_val = float("-1.30447") @@ -803,6 +876,7 @@ class Program_weight_tensor_parameter_72: class Program_weight_tensor_parameter_73: name = "parameter_73" + original_name = "batch_norm2d_43.w_0" shape = [256] dtype = "float32" min_val = float("0.321669") @@ -814,6 +888,7 @@ class Program_weight_tensor_parameter_73: class Program_weight_tensor_parameter_74: name = "parameter_74" + original_name = "batch_norm2d_43.w_2" shape = [256] dtype = "float32" min_val = float("0.00238325") @@ -825,6 +900,7 @@ class Program_weight_tensor_parameter_74: class Program_weight_tensor_parameter_75: name = "parameter_75" + original_name = "batch_norm2d_43.w_1" shape = [256] dtype = "float32" min_val = float("-2.12046") @@ -836,6 +912,7 @@ class Program_weight_tensor_parameter_75: class Program_weight_tensor_parameter_76: name = "parameter_76" + original_name = "conv2d_100.b_0" shape = [256] dtype = "float32" min_val = float("-0.154412") @@ -847,6 +924,7 @@ class Program_weight_tensor_parameter_76: class Program_weight_tensor_parameter_77: name = "parameter_77" + original_name = "conv2d_100.w_0" shape = [256, 1, 7, 7] dtype = "float32" min_val = float("-1.38957") @@ -858,6 +936,7 @@ class Program_weight_tensor_parameter_77: class Program_weight_tensor_parameter_78: name = "parameter_78" + original_name = "conv2d_99.b_0" shape = [256] dtype = "float32" min_val = float("-0.988958") @@ -869,6 +948,7 @@ class Program_weight_tensor_parameter_78: class Program_weight_tensor_parameter_79: name = "parameter_79" + original_name = "conv2d_99.w_0" shape = [256, 1, 7, 7] dtype = "float32" min_val = float("-0.493732") @@ -880,6 +960,7 @@ class Program_weight_tensor_parameter_79: class Program_weight_tensor_parameter_80: name = "parameter_80" + original_name = "batch_norm2d_42.b_0" shape = [256] dtype = "float32" min_val = float("-0.433841") @@ -891,6 +972,7 @@ class Program_weight_tensor_parameter_80: class Program_weight_tensor_parameter_81: name = "parameter_81" + original_name = "batch_norm2d_42.w_0" shape = [256] dtype = "float32" min_val = float("0.10502") @@ -902,6 +984,7 @@ class Program_weight_tensor_parameter_81: class Program_weight_tensor_parameter_82: name = "parameter_82" + original_name = "batch_norm2d_42.w_2" shape = [256] dtype = "float32" min_val = float("2.50348") @@ -913,6 +996,7 @@ class Program_weight_tensor_parameter_82: class Program_weight_tensor_parameter_83: name = "parameter_83" + original_name = "batch_norm2d_42.w_1" shape = [256] dtype = "float32" min_val = float("-1.67788") @@ -924,6 +1008,7 @@ class Program_weight_tensor_parameter_83: class Program_weight_tensor_parameter_84: name = "parameter_84" + original_name = "conv2d_98.b_0" shape = [256] dtype = "float32" min_val = float("-0.0314715") @@ -935,6 +1020,7 @@ class Program_weight_tensor_parameter_84: class Program_weight_tensor_parameter_85: name = "parameter_85" + original_name = "conv2d_98.w_0" shape = [256, 1024, 1, 1] dtype = "float32" min_val = float("-1.01317") @@ -946,6 +1032,7 @@ class Program_weight_tensor_parameter_85: class Program_weight_tensor_parameter_86: name = "parameter_86" + original_name = "conv2d_97.b_0" shape = [1024] dtype = "float32" min_val = float("-3.14175") @@ -957,6 +1044,7 @@ class Program_weight_tensor_parameter_86: class Program_weight_tensor_parameter_87: name = "parameter_87" + original_name = "conv2d_97.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-1.0105") @@ -968,6 +1056,7 @@ class Program_weight_tensor_parameter_87: class Program_weight_tensor_parameter_88: name = "parameter_88" + original_name = "conv2d_96.b_0" shape = [1024] dtype = "float32" min_val = float("-3.72122") @@ -979,6 +1068,7 @@ class Program_weight_tensor_parameter_88: class Program_weight_tensor_parameter_89: name = "parameter_89" + original_name = "conv2d_96.w_0" shape = [1024, 256, 1, 1] dtype = "float32" min_val = float("-0.819629") @@ -990,6 +1080,7 @@ class Program_weight_tensor_parameter_89: class Program_weight_tensor_parameter_90: name = "parameter_90" + original_name = "batch_norm2d_41.b_0" shape = [256] dtype = "float32" min_val = float("-0.413222") @@ -1001,6 +1092,7 @@ class Program_weight_tensor_parameter_90: class Program_weight_tensor_parameter_91: name = "parameter_91" + original_name = "batch_norm2d_41.w_0" shape = [256] dtype = "float32" min_val = float("0.514091") @@ -1012,6 +1104,7 @@ class Program_weight_tensor_parameter_91: class Program_weight_tensor_parameter_92: name = "parameter_92" + original_name = "batch_norm2d_41.w_2" shape = [256] dtype = "float32" min_val = float("6.67398e-05") @@ -1023,6 +1116,7 @@ class Program_weight_tensor_parameter_92: class Program_weight_tensor_parameter_93: name = "parameter_93" + original_name = "batch_norm2d_41.w_1" shape = [256] dtype = "float32" min_val = float("-2.20769") @@ -1034,6 +1128,7 @@ class Program_weight_tensor_parameter_93: class Program_weight_tensor_parameter_94: name = "parameter_94" + original_name = "conv2d_95.b_0" shape = [256] dtype = "float32" min_val = float("-0.161261") @@ -1045,6 +1140,7 @@ class Program_weight_tensor_parameter_94: class Program_weight_tensor_parameter_95: name = "parameter_95" + original_name = "conv2d_95.w_0" shape = [256, 1, 7, 7] dtype = "float32" min_val = float("-1.18997") @@ -1056,6 +1152,7 @@ class Program_weight_tensor_parameter_95: class Program_weight_tensor_parameter_96: name = "parameter_96" + original_name = "batch_norm2d_40.b_0" shape = [256] dtype = "float32" min_val = float("-2.02571") @@ -1067,6 +1164,7 @@ class Program_weight_tensor_parameter_96: class Program_weight_tensor_parameter_97: name = "parameter_97" + original_name = "batch_norm2d_40.w_0" shape = [256] dtype = "float32" min_val = float("0.0143092") @@ -1078,6 +1176,7 @@ class Program_weight_tensor_parameter_97: class Program_weight_tensor_parameter_98: name = "parameter_98" + original_name = "batch_norm2d_40.w_2" shape = [256] dtype = "float32" min_val = float("192.295") @@ -1089,6 +1188,7 @@ class Program_weight_tensor_parameter_98: class Program_weight_tensor_parameter_99: name = "parameter_99" + original_name = "batch_norm2d_40.w_1" shape = [256] dtype = "float32" min_val = float("-52.9636") @@ -1100,6 +1200,7 @@ class Program_weight_tensor_parameter_99: class Program_weight_tensor_parameter_100: name = "parameter_100" + original_name = "conv2d_94.b_0" shape = [256] dtype = "float32" min_val = float("-0.0307969") @@ -1111,6 +1212,7 @@ class Program_weight_tensor_parameter_100: class Program_weight_tensor_parameter_101: name = "parameter_101" + original_name = "conv2d_94.w_0" shape = [256, 128, 3, 3] dtype = "float32" min_val = float("-1.44776") @@ -1122,6 +1224,7 @@ class Program_weight_tensor_parameter_101: class Program_weight_tensor_parameter_102: name = "parameter_102" + original_name = "conv2d_93.b_0" shape = [128] dtype = "float32" min_val = float("-0.852947") @@ -1133,6 +1236,7 @@ class Program_weight_tensor_parameter_102: class Program_weight_tensor_parameter_103: name = "parameter_103" + original_name = "conv2d_93.w_0" shape = [128, 1, 7, 7] dtype = "float32" min_val = float("-0.441275") @@ -1144,6 +1248,7 @@ class Program_weight_tensor_parameter_103: class Program_weight_tensor_parameter_104: name = "parameter_104" + original_name = "batch_norm2d_39.b_0" shape = [128] dtype = "float32" min_val = float("-0.477835") @@ -1155,6 +1260,7 @@ class Program_weight_tensor_parameter_104: class Program_weight_tensor_parameter_105: name = "parameter_105" + original_name = "batch_norm2d_39.w_0" shape = [128] dtype = "float32" min_val = float("-1.42698") @@ -1166,6 +1272,7 @@ class Program_weight_tensor_parameter_105: class Program_weight_tensor_parameter_106: name = "parameter_106" + original_name = "batch_norm2d_39.w_2" shape = [128] dtype = "float32" min_val = float("2.28089") @@ -1177,6 +1284,7 @@ class Program_weight_tensor_parameter_106: class Program_weight_tensor_parameter_107: name = "parameter_107" + original_name = "batch_norm2d_39.w_1" shape = [128] dtype = "float32" min_val = float("-0.574635") @@ -1188,6 +1296,7 @@ class Program_weight_tensor_parameter_107: class Program_weight_tensor_parameter_108: name = "parameter_108" + original_name = "conv2d_92.b_0" shape = [128] dtype = "float32" min_val = float("-0.0445944") @@ -1199,6 +1308,7 @@ class Program_weight_tensor_parameter_108: class Program_weight_tensor_parameter_109: name = "parameter_109" + original_name = "conv2d_92.w_0" shape = [128, 512, 1, 1] dtype = "float32" min_val = float("-0.628284") @@ -1210,6 +1320,7 @@ class Program_weight_tensor_parameter_109: class Program_weight_tensor_parameter_110: name = "parameter_110" + original_name = "conv2d_91.b_0" shape = [512] dtype = "float32" min_val = float("-3.08006") @@ -1221,6 +1332,7 @@ class Program_weight_tensor_parameter_110: class Program_weight_tensor_parameter_111: name = "parameter_111" + original_name = "conv2d_91.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.600485") @@ -1232,6 +1344,7 @@ class Program_weight_tensor_parameter_111: class Program_weight_tensor_parameter_112: name = "parameter_112" + original_name = "conv2d_90.b_0" shape = [512] dtype = "float32" min_val = float("-3.34777") @@ -1243,6 +1356,7 @@ class Program_weight_tensor_parameter_112: class Program_weight_tensor_parameter_113: name = "parameter_113" + original_name = "conv2d_90.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.705387") @@ -1254,6 +1368,7 @@ class Program_weight_tensor_parameter_113: class Program_weight_tensor_parameter_114: name = "parameter_114" + original_name = "batch_norm2d_38.b_0" shape = [128] dtype = "float32" min_val = float("-1.31233") @@ -1265,6 +1380,7 @@ class Program_weight_tensor_parameter_114: class Program_weight_tensor_parameter_115: name = "parameter_115" + original_name = "batch_norm2d_38.w_0" shape = [128] dtype = "float32" min_val = float("0.679802") @@ -1276,6 +1392,7 @@ class Program_weight_tensor_parameter_115: class Program_weight_tensor_parameter_116: name = "parameter_116" + original_name = "batch_norm2d_38.w_2" shape = [128] dtype = "float32" min_val = float("0.104631") @@ -1287,6 +1404,7 @@ class Program_weight_tensor_parameter_116: class Program_weight_tensor_parameter_117: name = "parameter_117" + original_name = "batch_norm2d_38.w_1" shape = [128] dtype = "float32" min_val = float("-8.90043") @@ -1298,6 +1416,7 @@ class Program_weight_tensor_parameter_117: class Program_weight_tensor_parameter_118: name = "parameter_118" + original_name = "conv2d_89.b_0" shape = [128] dtype = "float32" min_val = float("-0.139214") @@ -1309,6 +1428,7 @@ class Program_weight_tensor_parameter_118: class Program_weight_tensor_parameter_119: name = "parameter_119" + original_name = "conv2d_89.w_0" shape = [128, 1, 7, 7] dtype = "float32" min_val = float("-0.853487") @@ -1320,6 +1440,7 @@ class Program_weight_tensor_parameter_119: class Program_weight_tensor_parameter_120: name = "parameter_120" + original_name = "conv2d_88.b_0" shape = [128] dtype = "float32" min_val = float("-2.19792") @@ -1331,6 +1452,7 @@ class Program_weight_tensor_parameter_120: class Program_weight_tensor_parameter_121: name = "parameter_121" + original_name = "conv2d_88.w_0" shape = [128, 1, 7, 7] dtype = "float32" min_val = float("-0.526694") @@ -1342,6 +1464,7 @@ class Program_weight_tensor_parameter_121: class Program_weight_tensor_parameter_122: name = "parameter_122" + original_name = "batch_norm2d_37.b_0" shape = [128] dtype = "float32" min_val = float("-0.631598") @@ -1353,6 +1476,7 @@ class Program_weight_tensor_parameter_122: class Program_weight_tensor_parameter_123: name = "parameter_123" + original_name = "batch_norm2d_37.w_0" shape = [128] dtype = "float32" min_val = float("-1.67992") @@ -1364,6 +1488,7 @@ class Program_weight_tensor_parameter_123: class Program_weight_tensor_parameter_124: name = "parameter_124" + original_name = "batch_norm2d_37.w_2" shape = [128] dtype = "float32" min_val = float("1.52835") @@ -1375,6 +1500,7 @@ class Program_weight_tensor_parameter_124: class Program_weight_tensor_parameter_125: name = "parameter_125" + original_name = "batch_norm2d_37.w_1" shape = [128] dtype = "float32" min_val = float("-0.420316") @@ -1386,6 +1512,7 @@ class Program_weight_tensor_parameter_125: class Program_weight_tensor_parameter_126: name = "parameter_126" + original_name = "conv2d_87.b_0" shape = [128] dtype = "float32" min_val = float("-0.0464981") @@ -1397,6 +1524,7 @@ class Program_weight_tensor_parameter_126: class Program_weight_tensor_parameter_127: name = "parameter_127" + original_name = "conv2d_87.w_0" shape = [128, 512, 1, 1] dtype = "float32" min_val = float("-0.895167") @@ -1408,6 +1536,7 @@ class Program_weight_tensor_parameter_127: class Program_weight_tensor_parameter_128: name = "parameter_128" + original_name = "conv2d_86.b_0" shape = [512] dtype = "float32" min_val = float("-2.18981") @@ -1419,6 +1548,7 @@ class Program_weight_tensor_parameter_128: class Program_weight_tensor_parameter_129: name = "parameter_129" + original_name = "conv2d_86.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.772085") @@ -1430,6 +1560,7 @@ class Program_weight_tensor_parameter_129: class Program_weight_tensor_parameter_130: name = "parameter_130" + original_name = "conv2d_85.b_0" shape = [512] dtype = "float32" min_val = float("-3.0388") @@ -1441,6 +1572,7 @@ class Program_weight_tensor_parameter_130: class Program_weight_tensor_parameter_131: name = "parameter_131" + original_name = "conv2d_85.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.591903") @@ -1452,6 +1584,7 @@ class Program_weight_tensor_parameter_131: class Program_weight_tensor_parameter_132: name = "parameter_132" + original_name = "batch_norm2d_36.b_0" shape = [128] dtype = "float32" min_val = float("-0.829408") @@ -1463,6 +1596,7 @@ class Program_weight_tensor_parameter_132: class Program_weight_tensor_parameter_133: name = "parameter_133" + original_name = "batch_norm2d_36.w_0" shape = [128] dtype = "float32" min_val = float("0.512153") @@ -1474,6 +1608,7 @@ class Program_weight_tensor_parameter_133: class Program_weight_tensor_parameter_134: name = "parameter_134" + original_name = "batch_norm2d_36.w_2" shape = [128] dtype = "float32" min_val = float("0.0546607") @@ -1485,6 +1620,7 @@ class Program_weight_tensor_parameter_134: class Program_weight_tensor_parameter_135: name = "parameter_135" + original_name = "batch_norm2d_36.w_1" shape = [128] dtype = "float32" min_val = float("-7.76527") @@ -1496,6 +1632,7 @@ class Program_weight_tensor_parameter_135: class Program_weight_tensor_parameter_136: name = "parameter_136" + original_name = "conv2d_84.b_0" shape = [128] dtype = "float32" min_val = float("-0.153262") @@ -1507,6 +1644,7 @@ class Program_weight_tensor_parameter_136: class Program_weight_tensor_parameter_137: name = "parameter_137" + original_name = "conv2d_84.w_0" shape = [128, 1, 7, 7] dtype = "float32" min_val = float("-1.39548") @@ -1518,6 +1656,7 @@ class Program_weight_tensor_parameter_137: class Program_weight_tensor_parameter_138: name = "parameter_138" + original_name = "conv2d_83.b_0" shape = [128] dtype = "float32" min_val = float("-1.20731") @@ -1529,6 +1668,7 @@ class Program_weight_tensor_parameter_138: class Program_weight_tensor_parameter_139: name = "parameter_139" + original_name = "conv2d_83.w_0" shape = [128, 1, 7, 7] dtype = "float32" min_val = float("-0.577266") @@ -1540,6 +1680,7 @@ class Program_weight_tensor_parameter_139: class Program_weight_tensor_parameter_140: name = "parameter_140" + original_name = "batch_norm2d_35.b_0" shape = [128] dtype = "float32" min_val = float("-1.88003") @@ -1551,6 +1692,7 @@ class Program_weight_tensor_parameter_140: class Program_weight_tensor_parameter_141: name = "parameter_141" + original_name = "batch_norm2d_35.w_0" shape = [128] dtype = "float32" min_val = float("-2.07312") @@ -1562,6 +1704,7 @@ class Program_weight_tensor_parameter_141: class Program_weight_tensor_parameter_142: name = "parameter_142" + original_name = "batch_norm2d_35.w_2" shape = [128] dtype = "float32" min_val = float("2.28507") @@ -1573,6 +1716,7 @@ class Program_weight_tensor_parameter_142: class Program_weight_tensor_parameter_143: name = "parameter_143" + original_name = "batch_norm2d_35.w_1" shape = [128] dtype = "float32" min_val = float("-3.22538") @@ -1584,6 +1728,7 @@ class Program_weight_tensor_parameter_143: class Program_weight_tensor_parameter_144: name = "parameter_144" + original_name = "conv2d_82.b_0" shape = [128] dtype = "float32" min_val = float("-0.0447568") @@ -1595,6 +1740,7 @@ class Program_weight_tensor_parameter_144: class Program_weight_tensor_parameter_145: name = "parameter_145" + original_name = "conv2d_82.w_0" shape = [128, 512, 1, 1] dtype = "float32" min_val = float("-0.584019") @@ -1606,6 +1752,7 @@ class Program_weight_tensor_parameter_145: class Program_weight_tensor_parameter_146: name = "parameter_146" + original_name = "conv2d_81.b_0" shape = [512] dtype = "float32" min_val = float("-4.01139") @@ -1617,6 +1764,7 @@ class Program_weight_tensor_parameter_146: class Program_weight_tensor_parameter_147: name = "parameter_147" + original_name = "conv2d_81.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.646427") @@ -1628,6 +1776,7 @@ class Program_weight_tensor_parameter_147: class Program_weight_tensor_parameter_148: name = "parameter_148" + original_name = "conv2d_80.b_0" shape = [512] dtype = "float32" min_val = float("-3.53886") @@ -1639,6 +1788,7 @@ class Program_weight_tensor_parameter_148: class Program_weight_tensor_parameter_149: name = "parameter_149" + original_name = "conv2d_80.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.797738") @@ -1650,6 +1800,7 @@ class Program_weight_tensor_parameter_149: class Program_weight_tensor_parameter_150: name = "parameter_150" + original_name = "batch_norm2d_34.b_0" shape = [128] dtype = "float32" min_val = float("-0.709732") @@ -1661,6 +1812,7 @@ class Program_weight_tensor_parameter_150: class Program_weight_tensor_parameter_151: name = "parameter_151" + original_name = "batch_norm2d_34.w_0" shape = [128] dtype = "float32" min_val = float("0.541121") @@ -1672,6 +1824,7 @@ class Program_weight_tensor_parameter_151: class Program_weight_tensor_parameter_152: name = "parameter_152" + original_name = "batch_norm2d_34.w_2" shape = [128] dtype = "float32" min_val = float("0.088578") @@ -1683,6 +1836,7 @@ class Program_weight_tensor_parameter_152: class Program_weight_tensor_parameter_153: name = "parameter_153" + original_name = "batch_norm2d_34.w_1" shape = [128] dtype = "float32" min_val = float("-8.39471") @@ -1694,6 +1848,7 @@ class Program_weight_tensor_parameter_153: class Program_weight_tensor_parameter_154: name = "parameter_154" + original_name = "conv2d_79.b_0" shape = [128] dtype = "float32" min_val = float("-0.138416") @@ -1705,6 +1860,7 @@ class Program_weight_tensor_parameter_154: class Program_weight_tensor_parameter_155: name = "parameter_155" + original_name = "conv2d_79.w_0" shape = [128, 1, 7, 7] dtype = "float32" min_val = float("-1.31764") @@ -1716,6 +1872,7 @@ class Program_weight_tensor_parameter_155: class Program_weight_tensor_parameter_156: name = "parameter_156" + original_name = "conv2d_78.b_0" shape = [128] dtype = "float32" min_val = float("-0.588783") @@ -1727,6 +1884,7 @@ class Program_weight_tensor_parameter_156: class Program_weight_tensor_parameter_157: name = "parameter_157" + original_name = "conv2d_78.w_0" shape = [128, 1, 7, 7] dtype = "float32" min_val = float("-0.506741") @@ -1738,6 +1896,7 @@ class Program_weight_tensor_parameter_157: class Program_weight_tensor_parameter_158: name = "parameter_158" + original_name = "batch_norm2d_33.b_0" shape = [128] dtype = "float32" min_val = float("-0.909684") @@ -1749,6 +1908,7 @@ class Program_weight_tensor_parameter_158: class Program_weight_tensor_parameter_159: name = "parameter_159" + original_name = "batch_norm2d_33.w_0" shape = [128] dtype = "float32" min_val = float("-1.15937") @@ -1760,6 +1920,7 @@ class Program_weight_tensor_parameter_159: class Program_weight_tensor_parameter_160: name = "parameter_160" + original_name = "batch_norm2d_33.w_2" shape = [128] dtype = "float32" min_val = float("1.73524") @@ -1771,6 +1932,7 @@ class Program_weight_tensor_parameter_160: class Program_weight_tensor_parameter_161: name = "parameter_161" + original_name = "batch_norm2d_33.w_1" shape = [128] dtype = "float32" min_val = float("-1.38462") @@ -1782,6 +1944,7 @@ class Program_weight_tensor_parameter_161: class Program_weight_tensor_parameter_162: name = "parameter_162" + original_name = "conv2d_77.b_0" shape = [128] dtype = "float32" min_val = float("-0.0441143") @@ -1793,6 +1956,7 @@ class Program_weight_tensor_parameter_162: class Program_weight_tensor_parameter_163: name = "parameter_163" + original_name = "conv2d_77.w_0" shape = [128, 512, 1, 1] dtype = "float32" min_val = float("-0.674942") @@ -1804,6 +1968,7 @@ class Program_weight_tensor_parameter_163: class Program_weight_tensor_parameter_164: name = "parameter_164" + original_name = "conv2d_76.b_0" shape = [512] dtype = "float32" min_val = float("-2.61396") @@ -1815,6 +1980,7 @@ class Program_weight_tensor_parameter_164: class Program_weight_tensor_parameter_165: name = "parameter_165" + original_name = "conv2d_76.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.697565") @@ -1826,6 +1992,7 @@ class Program_weight_tensor_parameter_165: class Program_weight_tensor_parameter_166: name = "parameter_166" + original_name = "conv2d_75.b_0" shape = [512] dtype = "float32" min_val = float("-5.12998") @@ -1837,6 +2004,7 @@ class Program_weight_tensor_parameter_166: class Program_weight_tensor_parameter_167: name = "parameter_167" + original_name = "conv2d_75.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.657221") @@ -1848,6 +2016,7 @@ class Program_weight_tensor_parameter_167: class Program_weight_tensor_parameter_168: name = "parameter_168" + original_name = "batch_norm2d_32.b_0" shape = [128] dtype = "float32" min_val = float("-1.08255") @@ -1859,6 +2028,7 @@ class Program_weight_tensor_parameter_168: class Program_weight_tensor_parameter_169: name = "parameter_169" + original_name = "batch_norm2d_32.w_0" shape = [128] dtype = "float32" min_val = float("0.505736") @@ -1870,6 +2040,7 @@ class Program_weight_tensor_parameter_169: class Program_weight_tensor_parameter_170: name = "parameter_170" + original_name = "batch_norm2d_32.w_2" shape = [128] dtype = "float32" min_val = float("0.164336") @@ -1881,6 +2052,7 @@ class Program_weight_tensor_parameter_170: class Program_weight_tensor_parameter_171: name = "parameter_171" + original_name = "batch_norm2d_32.w_1" shape = [128] dtype = "float32" min_val = float("-2.57843") @@ -1892,6 +2064,7 @@ class Program_weight_tensor_parameter_171: class Program_weight_tensor_parameter_172: name = "parameter_172" + original_name = "conv2d_74.b_0" shape = [128] dtype = "float32" min_val = float("-0.144461") @@ -1903,6 +2076,7 @@ class Program_weight_tensor_parameter_172: class Program_weight_tensor_parameter_173: name = "parameter_173" + original_name = "conv2d_74.w_0" shape = [128, 1, 7, 7] dtype = "float32" min_val = float("-1.0385") @@ -1914,6 +2088,7 @@ class Program_weight_tensor_parameter_173: class Program_weight_tensor_parameter_174: name = "parameter_174" + original_name = "conv2d_73.b_0" shape = [128] dtype = "float32" min_val = float("-1.23389") @@ -1925,6 +2100,7 @@ class Program_weight_tensor_parameter_174: class Program_weight_tensor_parameter_175: name = "parameter_175" + original_name = "conv2d_73.w_0" shape = [128, 1, 7, 7] dtype = "float32" min_val = float("-0.498669") @@ -1936,6 +2112,7 @@ class Program_weight_tensor_parameter_175: class Program_weight_tensor_parameter_176: name = "parameter_176" + original_name = "batch_norm2d_31.b_0" shape = [128] dtype = "float32" min_val = float("-0.765629") @@ -1947,6 +2124,7 @@ class Program_weight_tensor_parameter_176: class Program_weight_tensor_parameter_177: name = "parameter_177" + original_name = "batch_norm2d_31.w_0" shape = [128] dtype = "float32" min_val = float("-0.903917") @@ -1958,6 +2136,7 @@ class Program_weight_tensor_parameter_177: class Program_weight_tensor_parameter_178: name = "parameter_178" + original_name = "batch_norm2d_31.w_2" shape = [128] dtype = "float32" min_val = float("0.426626") @@ -1969,6 +2148,7 @@ class Program_weight_tensor_parameter_178: class Program_weight_tensor_parameter_179: name = "parameter_179" + original_name = "batch_norm2d_31.w_1" shape = [128] dtype = "float32" min_val = float("-0.560968") @@ -1980,6 +2160,7 @@ class Program_weight_tensor_parameter_179: class Program_weight_tensor_parameter_180: name = "parameter_180" + original_name = "conv2d_72.b_0" shape = [128] dtype = "float32" min_val = float("-0.0469455") @@ -1991,6 +2172,7 @@ class Program_weight_tensor_parameter_180: class Program_weight_tensor_parameter_181: name = "parameter_181" + original_name = "conv2d_72.w_0" shape = [128, 512, 1, 1] dtype = "float32" min_val = float("-0.804746") @@ -2002,6 +2184,7 @@ class Program_weight_tensor_parameter_181: class Program_weight_tensor_parameter_182: name = "parameter_182" + original_name = "conv2d_71.b_0" shape = [512] dtype = "float32" min_val = float("-2.45871") @@ -2013,6 +2196,7 @@ class Program_weight_tensor_parameter_182: class Program_weight_tensor_parameter_183: name = "parameter_183" + original_name = "conv2d_71.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.564703") @@ -2024,6 +2208,7 @@ class Program_weight_tensor_parameter_183: class Program_weight_tensor_parameter_184: name = "parameter_184" + original_name = "conv2d_70.b_0" shape = [512] dtype = "float32" min_val = float("-3.70818") @@ -2035,6 +2220,7 @@ class Program_weight_tensor_parameter_184: class Program_weight_tensor_parameter_185: name = "parameter_185" + original_name = "conv2d_70.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.729343") @@ -2046,6 +2232,7 @@ class Program_weight_tensor_parameter_185: class Program_weight_tensor_parameter_186: name = "parameter_186" + original_name = "batch_norm2d_30.b_0" shape = [128] dtype = "float32" min_val = float("-0.78249") @@ -2057,6 +2244,7 @@ class Program_weight_tensor_parameter_186: class Program_weight_tensor_parameter_187: name = "parameter_187" + original_name = "batch_norm2d_30.w_0" shape = [128] dtype = "float32" min_val = float("0.644031") @@ -2068,6 +2256,7 @@ class Program_weight_tensor_parameter_187: class Program_weight_tensor_parameter_188: name = "parameter_188" + original_name = "batch_norm2d_30.w_2" shape = [128] dtype = "float32" min_val = float("0.0435065") @@ -2079,6 +2268,7 @@ class Program_weight_tensor_parameter_188: class Program_weight_tensor_parameter_189: name = "parameter_189" + original_name = "batch_norm2d_30.w_1" shape = [128] dtype = "float32" min_val = float("-5.27051") @@ -2090,6 +2280,7 @@ class Program_weight_tensor_parameter_189: class Program_weight_tensor_parameter_190: name = "parameter_190" + original_name = "conv2d_69.b_0" shape = [128] dtype = "float32" min_val = float("-0.139056") @@ -2101,6 +2292,7 @@ class Program_weight_tensor_parameter_190: class Program_weight_tensor_parameter_191: name = "parameter_191" + original_name = "conv2d_69.w_0" shape = [128, 1, 7, 7] dtype = "float32" min_val = float("-1.52711") @@ -2112,6 +2304,7 @@ class Program_weight_tensor_parameter_191: class Program_weight_tensor_parameter_192: name = "parameter_192" + original_name = "conv2d_68.b_0" shape = [128] dtype = "float32" min_val = float("-0.720742") @@ -2123,6 +2316,7 @@ class Program_weight_tensor_parameter_192: class Program_weight_tensor_parameter_193: name = "parameter_193" + original_name = "conv2d_68.w_0" shape = [128, 1, 7, 7] dtype = "float32" min_val = float("-0.520031") @@ -2134,6 +2328,7 @@ class Program_weight_tensor_parameter_193: class Program_weight_tensor_parameter_194: name = "parameter_194" + original_name = "batch_norm2d_29.b_0" shape = [128] dtype = "float32" min_val = float("-0.676791") @@ -2145,6 +2340,7 @@ class Program_weight_tensor_parameter_194: class Program_weight_tensor_parameter_195: name = "parameter_195" + original_name = "batch_norm2d_29.w_0" shape = [128] dtype = "float32" min_val = float("-1.17447") @@ -2156,6 +2352,7 @@ class Program_weight_tensor_parameter_195: class Program_weight_tensor_parameter_196: name = "parameter_196" + original_name = "batch_norm2d_29.w_2" shape = [128] dtype = "float32" min_val = float("1.843") @@ -2167,6 +2364,7 @@ class Program_weight_tensor_parameter_196: class Program_weight_tensor_parameter_197: name = "parameter_197" + original_name = "batch_norm2d_29.w_1" shape = [128] dtype = "float32" min_val = float("-1.72153") @@ -2178,6 +2376,7 @@ class Program_weight_tensor_parameter_197: class Program_weight_tensor_parameter_198: name = "parameter_198" + original_name = "conv2d_67.b_0" shape = [128] dtype = "float32" min_val = float("-0.0434215") @@ -2189,6 +2388,7 @@ class Program_weight_tensor_parameter_198: class Program_weight_tensor_parameter_199: name = "parameter_199" + original_name = "conv2d_67.w_0" shape = [128, 512, 1, 1] dtype = "float32" min_val = float("-0.617624") @@ -2200,6 +2400,7 @@ class Program_weight_tensor_parameter_199: class Program_weight_tensor_parameter_200: name = "parameter_200" + original_name = "conv2d_66.b_0" shape = [512] dtype = "float32" min_val = float("-3.5835") @@ -2211,6 +2412,7 @@ class Program_weight_tensor_parameter_200: class Program_weight_tensor_parameter_201: name = "parameter_201" + original_name = "conv2d_66.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.747026") @@ -2222,6 +2424,7 @@ class Program_weight_tensor_parameter_201: class Program_weight_tensor_parameter_202: name = "parameter_202" + original_name = "conv2d_65.b_0" shape = [512] dtype = "float32" min_val = float("-4.0722") @@ -2233,6 +2436,7 @@ class Program_weight_tensor_parameter_202: class Program_weight_tensor_parameter_203: name = "parameter_203" + original_name = "conv2d_65.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.664354") @@ -2244,6 +2448,7 @@ class Program_weight_tensor_parameter_203: class Program_weight_tensor_parameter_204: name = "parameter_204" + original_name = "batch_norm2d_28.b_0" shape = [128] dtype = "float32" min_val = float("-0.604076") @@ -2255,6 +2460,7 @@ class Program_weight_tensor_parameter_204: class Program_weight_tensor_parameter_205: name = "parameter_205" + original_name = "batch_norm2d_28.w_0" shape = [128] dtype = "float32" min_val = float("0.646245") @@ -2266,6 +2472,7 @@ class Program_weight_tensor_parameter_205: class Program_weight_tensor_parameter_206: name = "parameter_206" + original_name = "batch_norm2d_28.w_2" shape = [128] dtype = "float32" min_val = float("0.0217316") @@ -2277,6 +2484,7 @@ class Program_weight_tensor_parameter_206: class Program_weight_tensor_parameter_207: name = "parameter_207" + original_name = "batch_norm2d_28.w_1" shape = [128] dtype = "float32" min_val = float("-1.94532") @@ -2288,6 +2496,7 @@ class Program_weight_tensor_parameter_207: class Program_weight_tensor_parameter_208: name = "parameter_208" + original_name = "conv2d_64.b_0" shape = [128] dtype = "float32" min_val = float("-0.145021") @@ -2299,6 +2508,7 @@ class Program_weight_tensor_parameter_208: class Program_weight_tensor_parameter_209: name = "parameter_209" + original_name = "conv2d_64.w_0" shape = [128, 1, 7, 7] dtype = "float32" min_val = float("-0.906635") @@ -2310,6 +2520,7 @@ class Program_weight_tensor_parameter_209: class Program_weight_tensor_parameter_210: name = "parameter_210" + original_name = "conv2d_63.b_0" shape = [128] dtype = "float32" min_val = float("-1.07468") @@ -2321,6 +2532,7 @@ class Program_weight_tensor_parameter_210: class Program_weight_tensor_parameter_211: name = "parameter_211" + original_name = "conv2d_63.w_0" shape = [128, 1, 7, 7] dtype = "float32" min_val = float("-0.495817") @@ -2332,6 +2544,7 @@ class Program_weight_tensor_parameter_211: class Program_weight_tensor_parameter_212: name = "parameter_212" + original_name = "batch_norm2d_27.b_0" shape = [128] dtype = "float32" min_val = float("-0.353858") @@ -2343,6 +2556,7 @@ class Program_weight_tensor_parameter_212: class Program_weight_tensor_parameter_213: name = "parameter_213" + original_name = "batch_norm2d_27.w_0" shape = [128] dtype = "float32" min_val = float("-0.756984") @@ -2354,6 +2568,7 @@ class Program_weight_tensor_parameter_213: class Program_weight_tensor_parameter_214: name = "parameter_214" + original_name = "batch_norm2d_27.w_2" shape = [128] dtype = "float32" min_val = float("0.788884") @@ -2365,6 +2580,7 @@ class Program_weight_tensor_parameter_214: class Program_weight_tensor_parameter_215: name = "parameter_215" + original_name = "batch_norm2d_27.w_1" shape = [128] dtype = "float32" min_val = float("-0.709572") @@ -2376,6 +2592,7 @@ class Program_weight_tensor_parameter_215: class Program_weight_tensor_parameter_216: name = "parameter_216" + original_name = "conv2d_62.b_0" shape = [128] dtype = "float32" min_val = float("-0.0475848") @@ -2387,6 +2604,7 @@ class Program_weight_tensor_parameter_216: class Program_weight_tensor_parameter_217: name = "parameter_217" + original_name = "conv2d_62.w_0" shape = [128, 512, 1, 1] dtype = "float32" min_val = float("-1.22397") @@ -2398,6 +2616,7 @@ class Program_weight_tensor_parameter_217: class Program_weight_tensor_parameter_218: name = "parameter_218" + original_name = "conv2d_61.b_0" shape = [512] dtype = "float32" min_val = float("-4.39947") @@ -2409,6 +2628,7 @@ class Program_weight_tensor_parameter_218: class Program_weight_tensor_parameter_219: name = "parameter_219" + original_name = "conv2d_61.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.827994") @@ -2420,6 +2640,7 @@ class Program_weight_tensor_parameter_219: class Program_weight_tensor_parameter_220: name = "parameter_220" + original_name = "conv2d_60.b_0" shape = [512] dtype = "float32" min_val = float("-3.53049") @@ -2431,6 +2652,7 @@ class Program_weight_tensor_parameter_220: class Program_weight_tensor_parameter_221: name = "parameter_221" + original_name = "conv2d_60.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.695935") @@ -2442,6 +2664,7 @@ class Program_weight_tensor_parameter_221: class Program_weight_tensor_parameter_222: name = "parameter_222" + original_name = "batch_norm2d_26.b_0" shape = [128] dtype = "float32" min_val = float("-0.298573") @@ -2453,6 +2676,7 @@ class Program_weight_tensor_parameter_222: class Program_weight_tensor_parameter_223: name = "parameter_223" + original_name = "batch_norm2d_26.w_0" shape = [128] dtype = "float32" min_val = float("0.637879") @@ -2464,6 +2688,7 @@ class Program_weight_tensor_parameter_223: class Program_weight_tensor_parameter_224: name = "parameter_224" + original_name = "batch_norm2d_26.w_2" shape = [128] dtype = "float32" min_val = float("0.0147042") @@ -2475,6 +2700,7 @@ class Program_weight_tensor_parameter_224: class Program_weight_tensor_parameter_225: name = "parameter_225" + original_name = "batch_norm2d_26.w_1" shape = [128] dtype = "float32" min_val = float("-3.63653") @@ -2486,6 +2712,7 @@ class Program_weight_tensor_parameter_225: class Program_weight_tensor_parameter_226: name = "parameter_226" + original_name = "conv2d_59.b_0" shape = [128] dtype = "float32" min_val = float("-0.150433") @@ -2497,6 +2724,7 @@ class Program_weight_tensor_parameter_226: class Program_weight_tensor_parameter_227: name = "parameter_227" + original_name = "conv2d_59.w_0" shape = [128, 1, 7, 7] dtype = "float32" min_val = float("-1.29257") @@ -2508,6 +2736,7 @@ class Program_weight_tensor_parameter_227: class Program_weight_tensor_parameter_228: name = "parameter_228" + original_name = "conv2d_58.b_0" shape = [128] dtype = "float32" min_val = float("-0.355061") @@ -2519,6 +2748,7 @@ class Program_weight_tensor_parameter_228: class Program_weight_tensor_parameter_229: name = "parameter_229" + original_name = "conv2d_58.w_0" shape = [128, 1, 7, 7] dtype = "float32" min_val = float("-0.597051") @@ -2530,6 +2760,7 @@ class Program_weight_tensor_parameter_229: class Program_weight_tensor_parameter_230: name = "parameter_230" + original_name = "batch_norm2d_25.b_0" shape = [128] dtype = "float32" min_val = float("-1.20745") @@ -2541,6 +2772,7 @@ class Program_weight_tensor_parameter_230: class Program_weight_tensor_parameter_231: name = "parameter_231" + original_name = "batch_norm2d_25.w_0" shape = [128] dtype = "float32" min_val = float("-0.945283") @@ -2552,6 +2784,7 @@ class Program_weight_tensor_parameter_231: class Program_weight_tensor_parameter_232: name = "parameter_232" + original_name = "batch_norm2d_25.w_2" shape = [128] dtype = "float32" min_val = float("2.49121") @@ -2563,6 +2796,7 @@ class Program_weight_tensor_parameter_232: class Program_weight_tensor_parameter_233: name = "parameter_233" + original_name = "batch_norm2d_25.w_1" shape = [128] dtype = "float32" min_val = float("-4.11726") @@ -2574,6 +2808,7 @@ class Program_weight_tensor_parameter_233: class Program_weight_tensor_parameter_234: name = "parameter_234" + original_name = "conv2d_57.b_0" shape = [128] dtype = "float32" min_val = float("-0.0436538") @@ -2585,6 +2820,7 @@ class Program_weight_tensor_parameter_234: class Program_weight_tensor_parameter_235: name = "parameter_235" + original_name = "conv2d_57.w_0" shape = [128, 512, 1, 1] dtype = "float32" min_val = float("-0.823406") @@ -2596,6 +2832,7 @@ class Program_weight_tensor_parameter_235: class Program_weight_tensor_parameter_236: name = "parameter_236" + original_name = "conv2d_56.b_0" shape = [512] dtype = "float32" min_val = float("-3.38335") @@ -2607,6 +2844,7 @@ class Program_weight_tensor_parameter_236: class Program_weight_tensor_parameter_237: name = "parameter_237" + original_name = "conv2d_56.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.717584") @@ -2618,6 +2856,7 @@ class Program_weight_tensor_parameter_237: class Program_weight_tensor_parameter_238: name = "parameter_238" + original_name = "conv2d_55.b_0" shape = [512] dtype = "float32" min_val = float("-4.67608") @@ -2629,6 +2868,7 @@ class Program_weight_tensor_parameter_238: class Program_weight_tensor_parameter_239: name = "parameter_239" + original_name = "conv2d_55.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.666404") @@ -2640,6 +2880,7 @@ class Program_weight_tensor_parameter_239: class Program_weight_tensor_parameter_240: name = "parameter_240" + original_name = "batch_norm2d_24.b_0" shape = [128] dtype = "float32" min_val = float("-0.377511") @@ -2651,6 +2892,7 @@ class Program_weight_tensor_parameter_240: class Program_weight_tensor_parameter_241: name = "parameter_241" + original_name = "batch_norm2d_24.w_0" shape = [128] dtype = "float32" min_val = float("0.671257") @@ -2662,6 +2904,7 @@ class Program_weight_tensor_parameter_241: class Program_weight_tensor_parameter_242: name = "parameter_242" + original_name = "batch_norm2d_24.w_2" shape = [128] dtype = "float32" min_val = float("0.00752779") @@ -2673,6 +2916,7 @@ class Program_weight_tensor_parameter_242: class Program_weight_tensor_parameter_243: name = "parameter_243" + original_name = "batch_norm2d_24.w_1" shape = [128] dtype = "float32" min_val = float("-2.68807") @@ -2684,6 +2928,7 @@ class Program_weight_tensor_parameter_243: class Program_weight_tensor_parameter_244: name = "parameter_244" + original_name = "conv2d_54.b_0" shape = [128] dtype = "float32" min_val = float("-0.136121") @@ -2695,6 +2940,7 @@ class Program_weight_tensor_parameter_244: class Program_weight_tensor_parameter_245: name = "parameter_245" + original_name = "conv2d_54.w_0" shape = [128, 1, 7, 7] dtype = "float32" min_val = float("-1.38453") @@ -2706,6 +2952,7 @@ class Program_weight_tensor_parameter_245: class Program_weight_tensor_parameter_246: name = "parameter_246" + original_name = "conv2d_53.b_0" shape = [128] dtype = "float32" min_val = float("-0.290586") @@ -2717,6 +2964,7 @@ class Program_weight_tensor_parameter_246: class Program_weight_tensor_parameter_247: name = "parameter_247" + original_name = "conv2d_53.w_0" shape = [128, 1, 7, 7] dtype = "float32" min_val = float("-0.569712") @@ -2728,6 +2976,7 @@ class Program_weight_tensor_parameter_247: class Program_weight_tensor_parameter_248: name = "parameter_248" + original_name = "batch_norm2d_23.b_0" shape = [128] dtype = "float32" min_val = float("-0.512494") @@ -2739,6 +2988,7 @@ class Program_weight_tensor_parameter_248: class Program_weight_tensor_parameter_249: name = "parameter_249" + original_name = "batch_norm2d_23.w_0" shape = [128] dtype = "float32" min_val = float("-1.93346") @@ -2750,6 +3000,7 @@ class Program_weight_tensor_parameter_249: class Program_weight_tensor_parameter_250: name = "parameter_250" + original_name = "batch_norm2d_23.w_2" shape = [128] dtype = "float32" min_val = float("1.99282") @@ -2761,6 +3012,7 @@ class Program_weight_tensor_parameter_250: class Program_weight_tensor_parameter_251: name = "parameter_251" + original_name = "batch_norm2d_23.w_1" shape = [128] dtype = "float32" min_val = float("-2.05308") @@ -2772,6 +3024,7 @@ class Program_weight_tensor_parameter_251: class Program_weight_tensor_parameter_252: name = "parameter_252" + original_name = "conv2d_52.b_0" shape = [128] dtype = "float32" min_val = float("-0.0487046") @@ -2783,6 +3036,7 @@ class Program_weight_tensor_parameter_252: class Program_weight_tensor_parameter_253: name = "parameter_253" + original_name = "conv2d_52.w_0" shape = [128, 512, 1, 1] dtype = "float32" min_val = float("-1.59466") @@ -2794,6 +3048,7 @@ class Program_weight_tensor_parameter_253: class Program_weight_tensor_parameter_254: name = "parameter_254" + original_name = "conv2d_51.b_0" shape = [512] dtype = "float32" min_val = float("-4.39223") @@ -2805,6 +3060,7 @@ class Program_weight_tensor_parameter_254: class Program_weight_tensor_parameter_255: name = "parameter_255" + original_name = "conv2d_51.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.948685") @@ -2816,6 +3072,7 @@ class Program_weight_tensor_parameter_255: class Program_weight_tensor_parameter_256: name = "parameter_256" + original_name = "conv2d_50.b_0" shape = [512] dtype = "float32" min_val = float("-4.04187") @@ -2827,6 +3084,7 @@ class Program_weight_tensor_parameter_256: class Program_weight_tensor_parameter_257: name = "parameter_257" + original_name = "conv2d_50.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.709004") @@ -2838,6 +3096,7 @@ class Program_weight_tensor_parameter_257: class Program_weight_tensor_parameter_258: name = "parameter_258" + original_name = "batch_norm2d_22.b_0" shape = [128] dtype = "float32" min_val = float("-0.631024") @@ -2849,6 +3108,7 @@ class Program_weight_tensor_parameter_258: class Program_weight_tensor_parameter_259: name = "parameter_259" + original_name = "batch_norm2d_22.w_0" shape = [128] dtype = "float32" min_val = float("0.325362") @@ -2860,6 +3120,7 @@ class Program_weight_tensor_parameter_259: class Program_weight_tensor_parameter_260: name = "parameter_260" + original_name = "batch_norm2d_22.w_2" shape = [128] dtype = "float32" min_val = float("0.000788164") @@ -2871,6 +3132,7 @@ class Program_weight_tensor_parameter_260: class Program_weight_tensor_parameter_261: name = "parameter_261" + original_name = "batch_norm2d_22.w_1" shape = [128] dtype = "float32" min_val = float("-2.23649") @@ -2882,6 +3144,7 @@ class Program_weight_tensor_parameter_261: class Program_weight_tensor_parameter_262: name = "parameter_262" + original_name = "conv2d_49.b_0" shape = [128] dtype = "float32" min_val = float("-0.160991") @@ -2893,6 +3156,7 @@ class Program_weight_tensor_parameter_262: class Program_weight_tensor_parameter_263: name = "parameter_263" + original_name = "conv2d_49.w_0" shape = [128, 1, 7, 7] dtype = "float32" min_val = float("-1.1908") @@ -2904,6 +3168,7 @@ class Program_weight_tensor_parameter_263: class Program_weight_tensor_parameter_264: name = "parameter_264" + original_name = "conv2d_48.b_0" shape = [128] dtype = "float32" min_val = float("-0.391315") @@ -2915,6 +3180,7 @@ class Program_weight_tensor_parameter_264: class Program_weight_tensor_parameter_265: name = "parameter_265" + original_name = "conv2d_48.w_0" shape = [128, 1, 7, 7] dtype = "float32" min_val = float("-0.489312") @@ -2926,6 +3192,7 @@ class Program_weight_tensor_parameter_265: class Program_weight_tensor_parameter_266: name = "parameter_266" + original_name = "batch_norm2d_21.b_0" shape = [128] dtype = "float32" min_val = float("-0.340196") @@ -2937,6 +3204,7 @@ class Program_weight_tensor_parameter_266: class Program_weight_tensor_parameter_267: name = "parameter_267" + original_name = "batch_norm2d_21.w_0" shape = [128] dtype = "float32" min_val = float("-0.404431") @@ -2948,6 +3216,7 @@ class Program_weight_tensor_parameter_267: class Program_weight_tensor_parameter_268: name = "parameter_268" + original_name = "batch_norm2d_21.w_2" shape = [128] dtype = "float32" min_val = float("1.26191") @@ -2959,6 +3228,7 @@ class Program_weight_tensor_parameter_268: class Program_weight_tensor_parameter_269: name = "parameter_269" + original_name = "batch_norm2d_21.w_1" shape = [128] dtype = "float32" min_val = float("-1.20994") @@ -2970,6 +3240,7 @@ class Program_weight_tensor_parameter_269: class Program_weight_tensor_parameter_270: name = "parameter_270" + original_name = "conv2d_47.b_0" shape = [128] dtype = "float32" min_val = float("-0.0461756") @@ -2981,6 +3252,7 @@ class Program_weight_tensor_parameter_270: class Program_weight_tensor_parameter_271: name = "parameter_271" + original_name = "conv2d_47.w_0" shape = [128, 512, 1, 1] dtype = "float32" min_val = float("-1.48134") @@ -2992,6 +3264,7 @@ class Program_weight_tensor_parameter_271: class Program_weight_tensor_parameter_272: name = "parameter_272" + original_name = "conv2d_46.b_0" shape = [512] dtype = "float32" min_val = float("-2.32612") @@ -3003,6 +3276,7 @@ class Program_weight_tensor_parameter_272: class Program_weight_tensor_parameter_273: name = "parameter_273" + original_name = "conv2d_46.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.711491") @@ -3014,6 +3288,7 @@ class Program_weight_tensor_parameter_273: class Program_weight_tensor_parameter_274: name = "parameter_274" + original_name = "conv2d_45.b_0" shape = [512] dtype = "float32" min_val = float("-3.72484") @@ -3025,6 +3300,7 @@ class Program_weight_tensor_parameter_274: class Program_weight_tensor_parameter_275: name = "parameter_275" + original_name = "conv2d_45.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.609138") @@ -3036,6 +3312,7 @@ class Program_weight_tensor_parameter_275: class Program_weight_tensor_parameter_276: name = "parameter_276" + original_name = "batch_norm2d_20.b_0" shape = [128] dtype = "float32" min_val = float("-0.801689") @@ -3047,6 +3324,7 @@ class Program_weight_tensor_parameter_276: class Program_weight_tensor_parameter_277: name = "parameter_277" + original_name = "batch_norm2d_20.w_0" shape = [128] dtype = "float32" min_val = float("0.495276") @@ -3058,6 +3336,7 @@ class Program_weight_tensor_parameter_277: class Program_weight_tensor_parameter_278: name = "parameter_278" + original_name = "batch_norm2d_20.w_2" shape = [128] dtype = "float32" min_val = float("0.000176376") @@ -3069,6 +3348,7 @@ class Program_weight_tensor_parameter_278: class Program_weight_tensor_parameter_279: name = "parameter_279" + original_name = "batch_norm2d_20.w_1" shape = [128] dtype = "float32" min_val = float("-2.53384") @@ -3080,6 +3360,7 @@ class Program_weight_tensor_parameter_279: class Program_weight_tensor_parameter_280: name = "parameter_280" + original_name = "conv2d_44.b_0" shape = [128] dtype = "float32" min_val = float("-0.158631") @@ -3091,6 +3372,7 @@ class Program_weight_tensor_parameter_280: class Program_weight_tensor_parameter_281: name = "parameter_281" + original_name = "conv2d_44.w_0" shape = [128, 1, 7, 7] dtype = "float32" min_val = float("-1.14238") @@ -3102,6 +3384,7 @@ class Program_weight_tensor_parameter_281: class Program_weight_tensor_parameter_282: name = "parameter_282" + original_name = "conv2d_43.b_0" shape = [128] dtype = "float32" min_val = float("-0.9907") @@ -3113,6 +3396,7 @@ class Program_weight_tensor_parameter_282: class Program_weight_tensor_parameter_283: name = "parameter_283" + original_name = "conv2d_43.w_0" shape = [128, 1, 7, 7] dtype = "float32" min_val = float("-0.561595") @@ -3124,6 +3408,7 @@ class Program_weight_tensor_parameter_283: class Program_weight_tensor_parameter_284: name = "parameter_284" + original_name = "batch_norm2d_19.b_0" shape = [128] dtype = "float32" min_val = float("-0.253088") @@ -3135,6 +3420,7 @@ class Program_weight_tensor_parameter_284: class Program_weight_tensor_parameter_285: name = "parameter_285" + original_name = "batch_norm2d_19.w_0" shape = [128] dtype = "float32" min_val = float("-0.0191531") @@ -3146,6 +3432,7 @@ class Program_weight_tensor_parameter_285: class Program_weight_tensor_parameter_286: name = "parameter_286" + original_name = "batch_norm2d_19.w_2" shape = [128] dtype = "float32" min_val = float("3.17114") @@ -3157,6 +3444,7 @@ class Program_weight_tensor_parameter_286: class Program_weight_tensor_parameter_287: name = "parameter_287" + original_name = "batch_norm2d_19.w_1" shape = [128] dtype = "float32" min_val = float("-6.33778") @@ -3168,6 +3456,7 @@ class Program_weight_tensor_parameter_287: class Program_weight_tensor_parameter_288: name = "parameter_288" + original_name = "conv2d_42.b_0" shape = [128] dtype = "float32" min_val = float("-0.0456159") @@ -3179,6 +3468,7 @@ class Program_weight_tensor_parameter_288: class Program_weight_tensor_parameter_289: name = "parameter_289" + original_name = "conv2d_42.w_0" shape = [128, 512, 1, 1] dtype = "float32" min_val = float("-0.723161") @@ -3190,6 +3480,7 @@ class Program_weight_tensor_parameter_289: class Program_weight_tensor_parameter_290: name = "parameter_290" + original_name = "conv2d_41.b_0" shape = [512] dtype = "float32" min_val = float("-5.24605") @@ -3201,6 +3492,7 @@ class Program_weight_tensor_parameter_290: class Program_weight_tensor_parameter_291: name = "parameter_291" + original_name = "conv2d_41.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.646012") @@ -3212,6 +3504,7 @@ class Program_weight_tensor_parameter_291: class Program_weight_tensor_parameter_292: name = "parameter_292" + original_name = "conv2d_40.b_0" shape = [512] dtype = "float32" min_val = float("-2.88247") @@ -3223,6 +3516,7 @@ class Program_weight_tensor_parameter_292: class Program_weight_tensor_parameter_293: name = "parameter_293" + original_name = "conv2d_40.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.709569") @@ -3234,6 +3528,7 @@ class Program_weight_tensor_parameter_293: class Program_weight_tensor_parameter_294: name = "parameter_294" + original_name = "batch_norm2d_18.b_0" shape = [128] dtype = "float32" min_val = float("-0.875663") @@ -3245,6 +3540,7 @@ class Program_weight_tensor_parameter_294: class Program_weight_tensor_parameter_295: name = "parameter_295" + original_name = "batch_norm2d_18.w_0" shape = [128] dtype = "float32" min_val = float("0.440169") @@ -3256,6 +3552,7 @@ class Program_weight_tensor_parameter_295: class Program_weight_tensor_parameter_296: name = "parameter_296" + original_name = "batch_norm2d_18.w_2" shape = [128] dtype = "float32" min_val = float("1.98121e-05") @@ -3267,6 +3564,7 @@ class Program_weight_tensor_parameter_296: class Program_weight_tensor_parameter_297: name = "parameter_297" + original_name = "batch_norm2d_18.w_1" shape = [128] dtype = "float32" min_val = float("-0.920499") @@ -3278,6 +3576,7 @@ class Program_weight_tensor_parameter_297: class Program_weight_tensor_parameter_298: name = "parameter_298" + original_name = "conv2d_39.b_0" shape = [128] dtype = "float32" min_val = float("-0.188368") @@ -3289,6 +3588,7 @@ class Program_weight_tensor_parameter_298: class Program_weight_tensor_parameter_299: name = "parameter_299" + original_name = "conv2d_39.w_0" shape = [128, 1, 7, 7] dtype = "float32" min_val = float("-0.941805") @@ -3300,6 +3600,7 @@ class Program_weight_tensor_parameter_299: class Program_weight_tensor_parameter_300: name = "parameter_300" + original_name = "conv2d_38.b_0" shape = [128] dtype = "float32" min_val = float("-0.674694") @@ -3311,6 +3612,7 @@ class Program_weight_tensor_parameter_300: class Program_weight_tensor_parameter_301: name = "parameter_301" + original_name = "conv2d_38.w_0" shape = [128, 1, 7, 7] dtype = "float32" min_val = float("-0.50717") @@ -3322,6 +3624,7 @@ class Program_weight_tensor_parameter_301: class Program_weight_tensor_parameter_302: name = "parameter_302" + original_name = "batch_norm2d_17.b_0" shape = [128] dtype = "float32" min_val = float("-0.276117") @@ -3333,6 +3636,7 @@ class Program_weight_tensor_parameter_302: class Program_weight_tensor_parameter_303: name = "parameter_303" + original_name = "batch_norm2d_17.w_0" shape = [128] dtype = "float32" min_val = float("0.0125068") @@ -3344,6 +3648,7 @@ class Program_weight_tensor_parameter_303: class Program_weight_tensor_parameter_304: name = "parameter_304" + original_name = "batch_norm2d_17.w_2" shape = [128] dtype = "float32" min_val = float("1.94781") @@ -3355,6 +3660,7 @@ class Program_weight_tensor_parameter_304: class Program_weight_tensor_parameter_305: name = "parameter_305" + original_name = "batch_norm2d_17.w_1" shape = [128] dtype = "float32" min_val = float("-2.53967") @@ -3366,6 +3672,7 @@ class Program_weight_tensor_parameter_305: class Program_weight_tensor_parameter_306: name = "parameter_306" + original_name = "conv2d_37.b_0" shape = [128] dtype = "float32" min_val = float("-0.0449748") @@ -3377,6 +3684,7 @@ class Program_weight_tensor_parameter_306: class Program_weight_tensor_parameter_307: name = "parameter_307" + original_name = "conv2d_37.w_0" shape = [128, 512, 1, 1] dtype = "float32" min_val = float("-0.688971") @@ -3388,6 +3696,7 @@ class Program_weight_tensor_parameter_307: class Program_weight_tensor_parameter_308: name = "parameter_308" + original_name = "conv2d_36.b_0" shape = [512] dtype = "float32" min_val = float("-3.68555") @@ -3399,6 +3708,7 @@ class Program_weight_tensor_parameter_308: class Program_weight_tensor_parameter_309: name = "parameter_309" + original_name = "conv2d_36.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.678808") @@ -3410,6 +3720,7 @@ class Program_weight_tensor_parameter_309: class Program_weight_tensor_parameter_310: name = "parameter_310" + original_name = "conv2d_35.b_0" shape = [512] dtype = "float32" min_val = float("-4.12256") @@ -3421,6 +3732,7 @@ class Program_weight_tensor_parameter_310: class Program_weight_tensor_parameter_311: name = "parameter_311" + original_name = "conv2d_35.w_0" shape = [512, 128, 1, 1] dtype = "float32" min_val = float("-0.794867") @@ -3432,6 +3744,7 @@ class Program_weight_tensor_parameter_311: class Program_weight_tensor_parameter_312: name = "parameter_312" + original_name = "batch_norm2d_16.b_0" shape = [128] dtype = "float32" min_val = float("-1.21297") @@ -3443,6 +3756,7 @@ class Program_weight_tensor_parameter_312: class Program_weight_tensor_parameter_313: name = "parameter_313" + original_name = "batch_norm2d_16.w_0" shape = [128] dtype = "float32" min_val = float("0.74261") @@ -3454,6 +3768,7 @@ class Program_weight_tensor_parameter_313: class Program_weight_tensor_parameter_314: name = "parameter_314" + original_name = "batch_norm2d_16.w_2" shape = [128] dtype = "float32" min_val = float("1.95141e-05") @@ -3465,6 +3780,7 @@ class Program_weight_tensor_parameter_314: class Program_weight_tensor_parameter_315: name = "parameter_315" + original_name = "batch_norm2d_16.w_1" shape = [128] dtype = "float32" min_val = float("-1.90997") @@ -3476,6 +3792,7 @@ class Program_weight_tensor_parameter_315: class Program_weight_tensor_parameter_316: name = "parameter_316" + original_name = "conv2d_34.b_0" shape = [128] dtype = "float32" min_val = float("-0.213434") @@ -3487,6 +3804,7 @@ class Program_weight_tensor_parameter_316: class Program_weight_tensor_parameter_317: name = "parameter_317" + original_name = "conv2d_34.w_0" shape = [128, 1, 7, 7] dtype = "float32" min_val = float("-1.00105") @@ -3498,6 +3816,7 @@ class Program_weight_tensor_parameter_317: class Program_weight_tensor_parameter_318: name = "parameter_318" + original_name = "batch_norm2d_15.b_0" shape = [128] dtype = "float32" min_val = float("-1.77275") @@ -3509,6 +3828,7 @@ class Program_weight_tensor_parameter_318: class Program_weight_tensor_parameter_319: name = "parameter_319" + original_name = "batch_norm2d_15.w_0" shape = [128] dtype = "float32" min_val = float("0.00469534") @@ -3520,6 +3840,7 @@ class Program_weight_tensor_parameter_319: class Program_weight_tensor_parameter_320: name = "parameter_320" + original_name = "batch_norm2d_15.w_2" shape = [128] dtype = "float32" min_val = float("17.0344") @@ -3531,6 +3852,7 @@ class Program_weight_tensor_parameter_320: class Program_weight_tensor_parameter_321: name = "parameter_321" + original_name = "batch_norm2d_15.w_1" shape = [128] dtype = "float32" min_val = float("-5.54424") @@ -3542,6 +3864,7 @@ class Program_weight_tensor_parameter_321: class Program_weight_tensor_parameter_322: name = "parameter_322" + original_name = "conv2d_33.b_0" shape = [128] dtype = "float32" min_val = float("-0.0397483") @@ -3553,6 +3876,7 @@ class Program_weight_tensor_parameter_322: class Program_weight_tensor_parameter_323: name = "parameter_323" + original_name = "conv2d_33.w_0" shape = [128, 64, 3, 3] dtype = "float32" min_val = float("-1.39468") @@ -3564,6 +3888,7 @@ class Program_weight_tensor_parameter_323: class Program_weight_tensor_parameter_324: name = "parameter_324" + original_name = "conv2d_32.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -3573,6 +3898,7 @@ class Program_weight_tensor_parameter_324: class Program_weight_tensor_parameter_325: name = "parameter_325" + original_name = "conv2d_32.w_0" shape = [64, 1, 7, 7] dtype = "float32" min_val = float("-0.409961") @@ -3584,6 +3910,7 @@ class Program_weight_tensor_parameter_325: class Program_weight_tensor_parameter_326: name = "parameter_326" + original_name = "batch_norm2d_14.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -3593,6 +3920,7 @@ class Program_weight_tensor_parameter_326: class Program_weight_tensor_parameter_327: name = "parameter_327" + original_name = "batch_norm2d_14.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -3602,6 +3930,7 @@ class Program_weight_tensor_parameter_327: class Program_weight_tensor_parameter_328: name = "parameter_328" + original_name = "batch_norm2d_14.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -3611,6 +3940,7 @@ class Program_weight_tensor_parameter_328: class Program_weight_tensor_parameter_329: name = "parameter_329" + original_name = "batch_norm2d_14.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -3620,6 +3950,7 @@ class Program_weight_tensor_parameter_329: class Program_weight_tensor_parameter_330: name = "parameter_330" + original_name = "conv2d_31.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -3629,6 +3960,7 @@ class Program_weight_tensor_parameter_330: class Program_weight_tensor_parameter_331: name = "parameter_331" + original_name = "conv2d_31.w_0" shape = [64, 256, 1, 1] dtype = "float32" min_val = float("-0.781185") @@ -3640,6 +3972,7 @@ class Program_weight_tensor_parameter_331: class Program_weight_tensor_parameter_332: name = "parameter_332" + original_name = "conv2d_30.b_0" shape = [256] dtype = "float32" min_val = float("-2.86243") @@ -3651,6 +3984,7 @@ class Program_weight_tensor_parameter_332: class Program_weight_tensor_parameter_333: name = "parameter_333" + original_name = "conv2d_30.w_0" shape = [256, 64, 1, 1] dtype = "float32" min_val = float("-0.757058") @@ -3662,6 +3996,7 @@ class Program_weight_tensor_parameter_333: class Program_weight_tensor_parameter_334: name = "parameter_334" + original_name = "conv2d_29.b_0" shape = [256] dtype = "float32" min_val = float("-2.31713") @@ -3673,6 +4008,7 @@ class Program_weight_tensor_parameter_334: class Program_weight_tensor_parameter_335: name = "parameter_335" + original_name = "conv2d_29.w_0" shape = [256, 64, 1, 1] dtype = "float32" min_val = float("-0.505031") @@ -3684,6 +4020,7 @@ class Program_weight_tensor_parameter_335: class Program_weight_tensor_parameter_336: name = "parameter_336" + original_name = "batch_norm2d_13.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -3693,6 +4030,7 @@ class Program_weight_tensor_parameter_336: class Program_weight_tensor_parameter_337: name = "parameter_337" + original_name = "batch_norm2d_13.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -3702,6 +4040,7 @@ class Program_weight_tensor_parameter_337: class Program_weight_tensor_parameter_338: name = "parameter_338" + original_name = "batch_norm2d_13.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -3711,6 +4050,7 @@ class Program_weight_tensor_parameter_338: class Program_weight_tensor_parameter_339: name = "parameter_339" + original_name = "batch_norm2d_13.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -3720,6 +4060,7 @@ class Program_weight_tensor_parameter_339: class Program_weight_tensor_parameter_340: name = "parameter_340" + original_name = "conv2d_28.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -3729,6 +4070,7 @@ class Program_weight_tensor_parameter_340: class Program_weight_tensor_parameter_341: name = "parameter_341" + original_name = "conv2d_28.w_0" shape = [64, 1, 7, 7] dtype = "float32" min_val = float("-0.96996") @@ -3740,6 +4082,7 @@ class Program_weight_tensor_parameter_341: class Program_weight_tensor_parameter_342: name = "parameter_342" + original_name = "conv2d_27.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -3749,6 +4092,7 @@ class Program_weight_tensor_parameter_342: class Program_weight_tensor_parameter_343: name = "parameter_343" + original_name = "conv2d_27.w_0" shape = [64, 1, 7, 7] dtype = "float32" min_val = float("-0.546841") @@ -3760,6 +4104,7 @@ class Program_weight_tensor_parameter_343: class Program_weight_tensor_parameter_344: name = "parameter_344" + original_name = "batch_norm2d_12.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -3769,6 +4114,7 @@ class Program_weight_tensor_parameter_344: class Program_weight_tensor_parameter_345: name = "parameter_345" + original_name = "batch_norm2d_12.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -3778,6 +4124,7 @@ class Program_weight_tensor_parameter_345: class Program_weight_tensor_parameter_346: name = "parameter_346" + original_name = "batch_norm2d_12.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -3787,6 +4134,7 @@ class Program_weight_tensor_parameter_346: class Program_weight_tensor_parameter_347: name = "parameter_347" + original_name = "batch_norm2d_12.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -3796,6 +4144,7 @@ class Program_weight_tensor_parameter_347: class Program_weight_tensor_parameter_348: name = "parameter_348" + original_name = "conv2d_26.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -3805,6 +4154,7 @@ class Program_weight_tensor_parameter_348: class Program_weight_tensor_parameter_349: name = "parameter_349" + original_name = "conv2d_26.w_0" shape = [64, 256, 1, 1] dtype = "float32" min_val = float("-0.729303") @@ -3816,6 +4166,7 @@ class Program_weight_tensor_parameter_349: class Program_weight_tensor_parameter_350: name = "parameter_350" + original_name = "conv2d_25.b_0" shape = [256] dtype = "float32" min_val = float("-4.63379") @@ -3827,6 +4178,7 @@ class Program_weight_tensor_parameter_350: class Program_weight_tensor_parameter_351: name = "parameter_351" + original_name = "conv2d_25.w_0" shape = [256, 64, 1, 1] dtype = "float32" min_val = float("-0.731877") @@ -3838,6 +4190,7 @@ class Program_weight_tensor_parameter_351: class Program_weight_tensor_parameter_352: name = "parameter_352" + original_name = "conv2d_24.b_0" shape = [256] dtype = "float32" min_val = float("-2.28813") @@ -3849,6 +4202,7 @@ class Program_weight_tensor_parameter_352: class Program_weight_tensor_parameter_353: name = "parameter_353" + original_name = "conv2d_24.w_0" shape = [256, 64, 1, 1] dtype = "float32" min_val = float("-0.910923") @@ -3860,6 +4214,7 @@ class Program_weight_tensor_parameter_353: class Program_weight_tensor_parameter_354: name = "parameter_354" + original_name = "batch_norm2d_11.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -3869,6 +4224,7 @@ class Program_weight_tensor_parameter_354: class Program_weight_tensor_parameter_355: name = "parameter_355" + original_name = "batch_norm2d_11.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -3878,6 +4234,7 @@ class Program_weight_tensor_parameter_355: class Program_weight_tensor_parameter_356: name = "parameter_356" + original_name = "batch_norm2d_11.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -3887,6 +4244,7 @@ class Program_weight_tensor_parameter_356: class Program_weight_tensor_parameter_357: name = "parameter_357" + original_name = "batch_norm2d_11.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -3896,6 +4254,7 @@ class Program_weight_tensor_parameter_357: class Program_weight_tensor_parameter_358: name = "parameter_358" + original_name = "conv2d_23.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -3905,6 +4264,7 @@ class Program_weight_tensor_parameter_358: class Program_weight_tensor_parameter_359: name = "parameter_359" + original_name = "conv2d_23.w_0" shape = [64, 1, 7, 7] dtype = "float32" min_val = float("-0.734399") @@ -3916,6 +4276,7 @@ class Program_weight_tensor_parameter_359: class Program_weight_tensor_parameter_360: name = "parameter_360" + original_name = "conv2d_22.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -3925,6 +4286,7 @@ class Program_weight_tensor_parameter_360: class Program_weight_tensor_parameter_361: name = "parameter_361" + original_name = "conv2d_22.w_0" shape = [64, 1, 7, 7] dtype = "float32" min_val = float("-0.555204") @@ -3936,6 +4298,7 @@ class Program_weight_tensor_parameter_361: class Program_weight_tensor_parameter_362: name = "parameter_362" + original_name = "batch_norm2d_10.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -3945,6 +4308,7 @@ class Program_weight_tensor_parameter_362: class Program_weight_tensor_parameter_363: name = "parameter_363" + original_name = "batch_norm2d_10.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -3954,6 +4318,7 @@ class Program_weight_tensor_parameter_363: class Program_weight_tensor_parameter_364: name = "parameter_364" + original_name = "batch_norm2d_10.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -3963,6 +4328,7 @@ class Program_weight_tensor_parameter_364: class Program_weight_tensor_parameter_365: name = "parameter_365" + original_name = "batch_norm2d_10.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -3972,6 +4338,7 @@ class Program_weight_tensor_parameter_365: class Program_weight_tensor_parameter_366: name = "parameter_366" + original_name = "conv2d_21.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -3981,6 +4348,7 @@ class Program_weight_tensor_parameter_366: class Program_weight_tensor_parameter_367: name = "parameter_367" + original_name = "conv2d_21.w_0" shape = [64, 256, 1, 1] dtype = "float32" min_val = float("-0.511328") @@ -3992,6 +4360,7 @@ class Program_weight_tensor_parameter_367: class Program_weight_tensor_parameter_368: name = "parameter_368" + original_name = "conv2d_20.b_0" shape = [256] dtype = "float32" min_val = float("-4.08617") @@ -4003,6 +4372,7 @@ class Program_weight_tensor_parameter_368: class Program_weight_tensor_parameter_369: name = "parameter_369" + original_name = "conv2d_20.w_0" shape = [256, 64, 1, 1] dtype = "float32" min_val = float("-0.62145") @@ -4014,6 +4384,7 @@ class Program_weight_tensor_parameter_369: class Program_weight_tensor_parameter_370: name = "parameter_370" + original_name = "conv2d_19.b_0" shape = [256] dtype = "float32" min_val = float("-4.46826") @@ -4025,6 +4396,7 @@ class Program_weight_tensor_parameter_370: class Program_weight_tensor_parameter_371: name = "parameter_371" + original_name = "conv2d_19.w_0" shape = [256, 64, 1, 1] dtype = "float32" min_val = float("-1.07402") @@ -4036,6 +4408,7 @@ class Program_weight_tensor_parameter_371: class Program_weight_tensor_parameter_372: name = "parameter_372" + original_name = "batch_norm2d_9.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -4045,6 +4418,7 @@ class Program_weight_tensor_parameter_372: class Program_weight_tensor_parameter_373: name = "parameter_373" + original_name = "batch_norm2d_9.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -4054,6 +4428,7 @@ class Program_weight_tensor_parameter_373: class Program_weight_tensor_parameter_374: name = "parameter_374" + original_name = "batch_norm2d_9.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -4063,6 +4438,7 @@ class Program_weight_tensor_parameter_374: class Program_weight_tensor_parameter_375: name = "parameter_375" + original_name = "batch_norm2d_9.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -4072,6 +4448,7 @@ class Program_weight_tensor_parameter_375: class Program_weight_tensor_parameter_376: name = "parameter_376" + original_name = "conv2d_18.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -4081,6 +4458,7 @@ class Program_weight_tensor_parameter_376: class Program_weight_tensor_parameter_377: name = "parameter_377" + original_name = "conv2d_18.w_0" shape = [64, 1, 7, 7] dtype = "float32" min_val = float("-1.31751") @@ -4092,6 +4470,7 @@ class Program_weight_tensor_parameter_377: class Program_weight_tensor_parameter_378: name = "parameter_378" + original_name = "batch_norm2d_8.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -4101,6 +4480,7 @@ class Program_weight_tensor_parameter_378: class Program_weight_tensor_parameter_379: name = "parameter_379" + original_name = "batch_norm2d_8.w_0" shape = [64] dtype = "float32" min_val = float("0") @@ -4110,6 +4490,7 @@ class Program_weight_tensor_parameter_379: class Program_weight_tensor_parameter_380: name = "parameter_380" + original_name = "batch_norm2d_8.w_2" shape = [64] dtype = "float32" min_val = float("0") @@ -4119,6 +4500,7 @@ class Program_weight_tensor_parameter_380: class Program_weight_tensor_parameter_381: name = "parameter_381" + original_name = "batch_norm2d_8.w_1" shape = [64] dtype = "float32" min_val = float("0") @@ -4128,6 +4510,7 @@ class Program_weight_tensor_parameter_381: class Program_weight_tensor_parameter_382: name = "parameter_382" + original_name = "conv2d_17.b_0" shape = [64] dtype = "float32" min_val = float("0") @@ -4137,6 +4520,7 @@ class Program_weight_tensor_parameter_382: class Program_weight_tensor_parameter_383: name = "parameter_383" + original_name = "conv2d_17.w_0" shape = [64, 32, 3, 3] dtype = "float32" min_val = float("-1.12519") @@ -4148,6 +4532,7 @@ class Program_weight_tensor_parameter_383: class Program_weight_tensor_parameter_384: name = "parameter_384" + original_name = "conv2d_16.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -4157,6 +4542,7 @@ class Program_weight_tensor_parameter_384: class Program_weight_tensor_parameter_385: name = "parameter_385" + original_name = "conv2d_16.w_0" shape = [32, 1, 7, 7] dtype = "float32" min_val = float("-0.372446") @@ -4168,6 +4554,7 @@ class Program_weight_tensor_parameter_385: class Program_weight_tensor_parameter_386: name = "parameter_386" + original_name = "batch_norm2d_7.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -4177,6 +4564,7 @@ class Program_weight_tensor_parameter_386: class Program_weight_tensor_parameter_387: name = "parameter_387" + original_name = "batch_norm2d_7.w_0" shape = [32] dtype = "float32" min_val = float("0") @@ -4186,6 +4574,7 @@ class Program_weight_tensor_parameter_387: class Program_weight_tensor_parameter_388: name = "parameter_388" + original_name = "batch_norm2d_7.w_2" shape = [32] dtype = "float32" min_val = float("0") @@ -4195,6 +4584,7 @@ class Program_weight_tensor_parameter_388: class Program_weight_tensor_parameter_389: name = "parameter_389" + original_name = "batch_norm2d_7.w_1" shape = [32] dtype = "float32" min_val = float("0") @@ -4204,6 +4594,7 @@ class Program_weight_tensor_parameter_389: class Program_weight_tensor_parameter_390: name = "parameter_390" + original_name = "conv2d_15.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -4213,6 +4604,7 @@ class Program_weight_tensor_parameter_390: class Program_weight_tensor_parameter_391: name = "parameter_391" + original_name = "conv2d_15.w_0" shape = [32, 128, 1, 1] dtype = "float32" min_val = float("-0.541365") @@ -4224,6 +4616,7 @@ class Program_weight_tensor_parameter_391: class Program_weight_tensor_parameter_392: name = "parameter_392" + original_name = "conv2d_14.b_0" shape = [128] dtype = "float32" min_val = float("-2.82501") @@ -4235,6 +4628,7 @@ class Program_weight_tensor_parameter_392: class Program_weight_tensor_parameter_393: name = "parameter_393" + original_name = "conv2d_14.w_0" shape = [128, 32, 1, 1] dtype = "float32" min_val = float("-0.729872") @@ -4246,6 +4640,7 @@ class Program_weight_tensor_parameter_393: class Program_weight_tensor_parameter_394: name = "parameter_394" + original_name = "conv2d_13.b_0" shape = [128] dtype = "float32" min_val = float("-1.07606") @@ -4257,6 +4652,7 @@ class Program_weight_tensor_parameter_394: class Program_weight_tensor_parameter_395: name = "parameter_395" + original_name = "conv2d_13.w_0" shape = [128, 32, 1, 1] dtype = "float32" min_val = float("-0.408246") @@ -4268,6 +4664,7 @@ class Program_weight_tensor_parameter_395: class Program_weight_tensor_parameter_396: name = "parameter_396" + original_name = "batch_norm2d_6.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -4277,6 +4674,7 @@ class Program_weight_tensor_parameter_396: class Program_weight_tensor_parameter_397: name = "parameter_397" + original_name = "batch_norm2d_6.w_0" shape = [32] dtype = "float32" min_val = float("0") @@ -4286,6 +4684,7 @@ class Program_weight_tensor_parameter_397: class Program_weight_tensor_parameter_398: name = "parameter_398" + original_name = "batch_norm2d_6.w_2" shape = [32] dtype = "float32" min_val = float("0") @@ -4295,6 +4694,7 @@ class Program_weight_tensor_parameter_398: class Program_weight_tensor_parameter_399: name = "parameter_399" + original_name = "batch_norm2d_6.w_1" shape = [32] dtype = "float32" min_val = float("0") @@ -4304,6 +4704,7 @@ class Program_weight_tensor_parameter_399: class Program_weight_tensor_parameter_400: name = "parameter_400" + original_name = "conv2d_12.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -4313,6 +4714,7 @@ class Program_weight_tensor_parameter_400: class Program_weight_tensor_parameter_401: name = "parameter_401" + original_name = "conv2d_12.w_0" shape = [32, 1, 7, 7] dtype = "float32" min_val = float("-0.644885") @@ -4324,6 +4726,7 @@ class Program_weight_tensor_parameter_401: class Program_weight_tensor_parameter_402: name = "parameter_402" + original_name = "conv2d_11.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -4333,6 +4736,7 @@ class Program_weight_tensor_parameter_402: class Program_weight_tensor_parameter_403: name = "parameter_403" + original_name = "conv2d_11.w_0" shape = [32, 1, 7, 7] dtype = "float32" min_val = float("-0.518232") @@ -4344,6 +4748,7 @@ class Program_weight_tensor_parameter_403: class Program_weight_tensor_parameter_404: name = "parameter_404" + original_name = "batch_norm2d_5.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -4353,6 +4758,7 @@ class Program_weight_tensor_parameter_404: class Program_weight_tensor_parameter_405: name = "parameter_405" + original_name = "batch_norm2d_5.w_0" shape = [32] dtype = "float32" min_val = float("0") @@ -4362,6 +4768,7 @@ class Program_weight_tensor_parameter_405: class Program_weight_tensor_parameter_406: name = "parameter_406" + original_name = "batch_norm2d_5.w_2" shape = [32] dtype = "float32" min_val = float("0") @@ -4371,6 +4778,7 @@ class Program_weight_tensor_parameter_406: class Program_weight_tensor_parameter_407: name = "parameter_407" + original_name = "batch_norm2d_5.w_1" shape = [32] dtype = "float32" min_val = float("0") @@ -4380,6 +4788,7 @@ class Program_weight_tensor_parameter_407: class Program_weight_tensor_parameter_408: name = "parameter_408" + original_name = "conv2d_10.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -4389,6 +4798,7 @@ class Program_weight_tensor_parameter_408: class Program_weight_tensor_parameter_409: name = "parameter_409" + original_name = "conv2d_10.w_0" shape = [32, 128, 1, 1] dtype = "float32" min_val = float("-0.879897") @@ -4400,6 +4810,7 @@ class Program_weight_tensor_parameter_409: class Program_weight_tensor_parameter_410: name = "parameter_410" + original_name = "conv2d_9.b_0" shape = [128] dtype = "float32" min_val = float("-3.30911") @@ -4411,6 +4822,7 @@ class Program_weight_tensor_parameter_410: class Program_weight_tensor_parameter_411: name = "parameter_411" + original_name = "conv2d_9.w_0" shape = [128, 32, 1, 1] dtype = "float32" min_val = float("-0.406711") @@ -4422,6 +4834,7 @@ class Program_weight_tensor_parameter_411: class Program_weight_tensor_parameter_412: name = "parameter_412" + original_name = "conv2d_8.b_0" shape = [128] dtype = "float32" min_val = float("-1.37156") @@ -4433,6 +4846,7 @@ class Program_weight_tensor_parameter_412: class Program_weight_tensor_parameter_413: name = "parameter_413" + original_name = "conv2d_8.w_0" shape = [128, 32, 1, 1] dtype = "float32" min_val = float("-0.894553") @@ -4444,6 +4858,7 @@ class Program_weight_tensor_parameter_413: class Program_weight_tensor_parameter_414: name = "parameter_414" + original_name = "batch_norm2d_4.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -4453,6 +4868,7 @@ class Program_weight_tensor_parameter_414: class Program_weight_tensor_parameter_415: name = "parameter_415" + original_name = "batch_norm2d_4.w_0" shape = [32] dtype = "float32" min_val = float("0") @@ -4462,6 +4878,7 @@ class Program_weight_tensor_parameter_415: class Program_weight_tensor_parameter_416: name = "parameter_416" + original_name = "batch_norm2d_4.w_2" shape = [32] dtype = "float32" min_val = float("0") @@ -4471,6 +4888,7 @@ class Program_weight_tensor_parameter_416: class Program_weight_tensor_parameter_417: name = "parameter_417" + original_name = "batch_norm2d_4.w_1" shape = [32] dtype = "float32" min_val = float("0") @@ -4480,6 +4898,7 @@ class Program_weight_tensor_parameter_417: class Program_weight_tensor_parameter_418: name = "parameter_418" + original_name = "conv2d_7.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -4489,6 +4908,7 @@ class Program_weight_tensor_parameter_418: class Program_weight_tensor_parameter_419: name = "parameter_419" + original_name = "conv2d_7.w_0" shape = [32, 1, 7, 7] dtype = "float32" min_val = float("-0.946039") @@ -4500,6 +4920,7 @@ class Program_weight_tensor_parameter_419: class Program_weight_tensor_parameter_420: name = "parameter_420" + original_name = "conv2d_6.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -4509,6 +4930,7 @@ class Program_weight_tensor_parameter_420: class Program_weight_tensor_parameter_421: name = "parameter_421" + original_name = "conv2d_6.w_0" shape = [32, 1, 7, 7] dtype = "float32" min_val = float("-0.487273") @@ -4520,6 +4942,7 @@ class Program_weight_tensor_parameter_421: class Program_weight_tensor_parameter_422: name = "parameter_422" + original_name = "batch_norm2d_3.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -4529,6 +4952,7 @@ class Program_weight_tensor_parameter_422: class Program_weight_tensor_parameter_423: name = "parameter_423" + original_name = "batch_norm2d_3.w_0" shape = [32] dtype = "float32" min_val = float("0") @@ -4538,6 +4962,7 @@ class Program_weight_tensor_parameter_423: class Program_weight_tensor_parameter_424: name = "parameter_424" + original_name = "batch_norm2d_3.w_2" shape = [32] dtype = "float32" min_val = float("0") @@ -4547,6 +4972,7 @@ class Program_weight_tensor_parameter_424: class Program_weight_tensor_parameter_425: name = "parameter_425" + original_name = "batch_norm2d_3.w_1" shape = [32] dtype = "float32" min_val = float("0") @@ -4556,6 +4982,7 @@ class Program_weight_tensor_parameter_425: class Program_weight_tensor_parameter_426: name = "parameter_426" + original_name = "conv2d_5.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -4565,6 +4992,7 @@ class Program_weight_tensor_parameter_426: class Program_weight_tensor_parameter_427: name = "parameter_427" + original_name = "conv2d_5.w_0" shape = [32, 128, 1, 1] dtype = "float32" min_val = float("-0.47752") @@ -4576,6 +5004,7 @@ class Program_weight_tensor_parameter_427: class Program_weight_tensor_parameter_428: name = "parameter_428" + original_name = "conv2d_4.b_0" shape = [128] dtype = "float32" min_val = float("-2.4435") @@ -4587,6 +5016,7 @@ class Program_weight_tensor_parameter_428: class Program_weight_tensor_parameter_429: name = "parameter_429" + original_name = "conv2d_4.w_0" shape = [128, 32, 1, 1] dtype = "float32" min_val = float("-0.422683") @@ -4598,6 +5028,7 @@ class Program_weight_tensor_parameter_429: class Program_weight_tensor_parameter_430: name = "parameter_430" + original_name = "conv2d_3.b_0" shape = [128] dtype = "float32" min_val = float("-0.938533") @@ -4609,6 +5040,7 @@ class Program_weight_tensor_parameter_430: class Program_weight_tensor_parameter_431: name = "parameter_431" + original_name = "conv2d_3.w_0" shape = [128, 32, 1, 1] dtype = "float32" min_val = float("-0.588492") @@ -4620,6 +5052,7 @@ class Program_weight_tensor_parameter_431: class Program_weight_tensor_parameter_432: name = "parameter_432" + original_name = "batch_norm2d_2.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -4629,6 +5062,7 @@ class Program_weight_tensor_parameter_432: class Program_weight_tensor_parameter_433: name = "parameter_433" + original_name = "batch_norm2d_2.w_0" shape = [32] dtype = "float32" min_val = float("0") @@ -4638,6 +5072,7 @@ class Program_weight_tensor_parameter_433: class Program_weight_tensor_parameter_434: name = "parameter_434" + original_name = "batch_norm2d_2.w_2" shape = [32] dtype = "float32" min_val = float("0") @@ -4647,6 +5082,7 @@ class Program_weight_tensor_parameter_434: class Program_weight_tensor_parameter_435: name = "parameter_435" + original_name = "batch_norm2d_2.w_1" shape = [32] dtype = "float32" min_val = float("0") @@ -4656,6 +5092,7 @@ class Program_weight_tensor_parameter_435: class Program_weight_tensor_parameter_436: name = "parameter_436" + original_name = "conv2d_2.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -4665,6 +5102,7 @@ class Program_weight_tensor_parameter_436: class Program_weight_tensor_parameter_437: name = "parameter_437" + original_name = "conv2d_2.w_0" shape = [32, 1, 7, 7] dtype = "float32" min_val = float("-2.11644") @@ -4676,6 +5114,7 @@ class Program_weight_tensor_parameter_437: class Program_weight_tensor_parameter_438: name = "parameter_438" + original_name = "batch_norm2d_1.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -4685,6 +5124,7 @@ class Program_weight_tensor_parameter_438: class Program_weight_tensor_parameter_439: name = "parameter_439" + original_name = "batch_norm2d_1.w_0" shape = [32] dtype = "float32" min_val = float("0") @@ -4694,6 +5134,7 @@ class Program_weight_tensor_parameter_439: class Program_weight_tensor_parameter_440: name = "parameter_440" + original_name = "batch_norm2d_1.w_2" shape = [32] dtype = "float32" min_val = float("0") @@ -4703,6 +5144,7 @@ class Program_weight_tensor_parameter_440: class Program_weight_tensor_parameter_441: name = "parameter_441" + original_name = "batch_norm2d_1.w_1" shape = [32] dtype = "float32" min_val = float("0") @@ -4712,6 +5154,7 @@ class Program_weight_tensor_parameter_441: class Program_weight_tensor_parameter_442: name = "parameter_442" + original_name = "conv2d_1.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -4721,6 +5164,7 @@ class Program_weight_tensor_parameter_442: class Program_weight_tensor_parameter_443: name = "parameter_443" + original_name = "conv2d_1.w_0" shape = [32, 32, 3, 3] dtype = "float32" min_val = float("-0.652491") @@ -4732,6 +5176,7 @@ class Program_weight_tensor_parameter_443: class Program_weight_tensor_parameter_444: name = "parameter_444" + original_name = "batch_norm2d_0.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -4741,6 +5186,7 @@ class Program_weight_tensor_parameter_444: class Program_weight_tensor_parameter_445: name = "parameter_445" + original_name = "batch_norm2d_0.w_0" shape = [32] dtype = "float32" min_val = float("0") @@ -4750,6 +5196,7 @@ class Program_weight_tensor_parameter_445: class Program_weight_tensor_parameter_446: name = "parameter_446" + original_name = "batch_norm2d_0.w_2" shape = [32] dtype = "float32" min_val = float("0") @@ -4759,6 +5206,7 @@ class Program_weight_tensor_parameter_446: class Program_weight_tensor_parameter_447: name = "parameter_447" + original_name = "batch_norm2d_0.w_1" shape = [32] dtype = "float32" min_val = float("0") @@ -4768,6 +5216,7 @@ class Program_weight_tensor_parameter_447: class Program_weight_tensor_parameter_448: name = "parameter_448" + original_name = "conv2d_0.b_0" shape = [32] dtype = "float32" min_val = float("0") @@ -4777,6 +5226,7 @@ class Program_weight_tensor_parameter_448: class Program_weight_tensor_parameter_449: name = "parameter_449" + original_name = "conv2d_0.w_0" shape = [32, 3, 3, 3] dtype = "float32" min_val = float("-0.313016") diff --git a/paddle_samples/PaddleX/ch_SVTRv2_rec/subgraph_12/input_meta.py b/paddle_samples/PaddleX/ch_SVTRv2_rec/subgraph_12/input_meta.py index 62259f248..5dfb400b7 100644 --- a/paddle_samples/PaddleX/ch_SVTRv2_rec/subgraph_12/input_meta.py +++ b/paddle_samples/PaddleX/ch_SVTRv2_rec/subgraph_12/input_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_data_0: name = "data_0" + original_name = "var_3345" shape = [8, 128, 8, 80] dtype = "float32" min_val = float("-0.169971") diff --git a/paddle_samples/PaddleX/ch_SVTRv2_rec/subgraph_12/weight_meta.py b/paddle_samples/PaddleX/ch_SVTRv2_rec/subgraph_12/weight_meta.py index 13ef60850..6523d9ce3 100644 --- a/paddle_samples/PaddleX/ch_SVTRv2_rec/subgraph_12/weight_meta.py +++ b/paddle_samples/PaddleX/ch_SVTRv2_rec/subgraph_12/weight_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_parameter_0: name = "parameter_0" + original_name = "layer_norm_12.b_0" shape = [256] dtype = "float32" min_val = float("-0.668521") @@ -11,6 +12,7 @@ class Program_weight_tensor_parameter_0: class Program_weight_tensor_parameter_1: name = "parameter_1" + original_name = "layer_norm_12.w_0" shape = [256] dtype = "float32" min_val = float("0.187715") @@ -22,6 +24,7 @@ class Program_weight_tensor_parameter_1: class Program_weight_tensor_parameter_2: name = "parameter_2" + original_name = "conv2d_8.b_0" shape = [256] dtype = "float32" min_val = float("-8.25526") @@ -33,6 +36,7 @@ class Program_weight_tensor_parameter_2: class Program_weight_tensor_parameter_3: name = "parameter_3" + original_name = "conv2d_8.w_0" shape = [256, 128, 3, 3] dtype = "float32" min_val = float("-6.30351") @@ -44,6 +48,7 @@ class Program_weight_tensor_parameter_3: class Program_weight_tensor_parameter_4: name = "parameter_4" + original_name = "layer_norm_11.b_0" shape = [128] dtype = "float32" min_val = float("-0.716209") @@ -55,6 +60,7 @@ class Program_weight_tensor_parameter_4: class Program_weight_tensor_parameter_5: name = "parameter_5" + original_name = "layer_norm_11.w_0" shape = [128] dtype = "float32" min_val = float("0.40875") @@ -66,6 +72,7 @@ class Program_weight_tensor_parameter_5: class Program_weight_tensor_parameter_6: name = "parameter_6" + original_name = "linear_11.b_0" shape = [128] dtype = "float32" min_val = float("-4.08424") @@ -77,6 +84,7 @@ class Program_weight_tensor_parameter_6: class Program_weight_tensor_parameter_7: name = "parameter_7" + original_name = "linear_11.w_0" shape = [512, 128] dtype = "float32" min_val = float("-0.471752") @@ -88,6 +96,7 @@ class Program_weight_tensor_parameter_7: class Program_weight_tensor_parameter_8: name = "parameter_8" + original_name = "linear_10.b_0" shape = [512] dtype = "float32" min_val = float("-1.89779") @@ -99,6 +108,7 @@ class Program_weight_tensor_parameter_8: class Program_weight_tensor_parameter_9: name = "parameter_9" + original_name = "linear_10.w_0" shape = [128, 512] dtype = "float32" min_val = float("-0.322236") @@ -110,6 +120,7 @@ class Program_weight_tensor_parameter_9: class Program_weight_tensor_parameter_10: name = "parameter_10" + original_name = "layer_norm_10.b_0" shape = [128] dtype = "float32" min_val = float("-0.681698") @@ -121,6 +132,7 @@ class Program_weight_tensor_parameter_10: class Program_weight_tensor_parameter_11: name = "parameter_11" + original_name = "layer_norm_10.w_0" shape = [128] dtype = "float32" min_val = float("0.572885") @@ -132,6 +144,7 @@ class Program_weight_tensor_parameter_11: class Program_weight_tensor_parameter_12: name = "parameter_12" + original_name = "conv2d_7.b_0" shape = [128] dtype = "float32" min_val = float("-0.7091") @@ -143,6 +156,7 @@ class Program_weight_tensor_parameter_12: class Program_weight_tensor_parameter_13: name = "parameter_13" + original_name = "conv2d_7.w_0" shape = [128, 32, 5, 5] dtype = "float32" min_val = float("-0.399123") @@ -154,6 +168,7 @@ class Program_weight_tensor_parameter_13: class Program_weight_tensor_parameter_14: name = "parameter_14" + original_name = "layer_norm_9.b_0" shape = [128] dtype = "float32" min_val = float("-0.594308") @@ -165,6 +180,7 @@ class Program_weight_tensor_parameter_14: class Program_weight_tensor_parameter_15: name = "parameter_15" + original_name = "layer_norm_9.w_0" shape = [128] dtype = "float32" min_val = float("0.274019") @@ -176,6 +192,7 @@ class Program_weight_tensor_parameter_15: class Program_weight_tensor_parameter_16: name = "parameter_16" + original_name = "linear_9.b_0" shape = [128] dtype = "float32" min_val = float("-5.1138") @@ -187,6 +204,7 @@ class Program_weight_tensor_parameter_16: class Program_weight_tensor_parameter_17: name = "parameter_17" + original_name = "linear_9.w_0" shape = [512, 128] dtype = "float32" min_val = float("-0.818937") @@ -198,6 +216,7 @@ class Program_weight_tensor_parameter_17: class Program_weight_tensor_parameter_18: name = "parameter_18" + original_name = "linear_8.b_0" shape = [512] dtype = "float32" min_val = float("-1.37765") @@ -209,6 +228,7 @@ class Program_weight_tensor_parameter_18: class Program_weight_tensor_parameter_19: name = "parameter_19" + original_name = "linear_8.w_0" shape = [128, 512] dtype = "float32" min_val = float("-0.405105") @@ -220,6 +240,7 @@ class Program_weight_tensor_parameter_19: class Program_weight_tensor_parameter_20: name = "parameter_20" + original_name = "layer_norm_8.b_0" shape = [128] dtype = "float32" min_val = float("-0.815685") @@ -231,6 +252,7 @@ class Program_weight_tensor_parameter_20: class Program_weight_tensor_parameter_21: name = "parameter_21" + original_name = "layer_norm_8.w_0" shape = [128] dtype = "float32" min_val = float("0.685492") @@ -242,6 +264,7 @@ class Program_weight_tensor_parameter_21: class Program_weight_tensor_parameter_22: name = "parameter_22" + original_name = "conv2d_6.b_0" shape = [128] dtype = "float32" min_val = float("-0.885409") @@ -253,6 +276,7 @@ class Program_weight_tensor_parameter_22: class Program_weight_tensor_parameter_23: name = "parameter_23" + original_name = "conv2d_6.w_0" shape = [128, 32, 5, 5] dtype = "float32" min_val = float("-0.317961") @@ -264,6 +288,7 @@ class Program_weight_tensor_parameter_23: class Program_weight_tensor_parameter_24: name = "parameter_24" + original_name = "layer_norm_7.b_0" shape = [128] dtype = "float32" min_val = float("-0.55219") @@ -275,6 +300,7 @@ class Program_weight_tensor_parameter_24: class Program_weight_tensor_parameter_25: name = "parameter_25" + original_name = "layer_norm_7.w_0" shape = [128] dtype = "float32" min_val = float("0.0629769") @@ -286,6 +312,7 @@ class Program_weight_tensor_parameter_25: class Program_weight_tensor_parameter_26: name = "parameter_26" + original_name = "linear_7.b_0" shape = [128] dtype = "float32" min_val = float("-0.830581") @@ -297,6 +324,7 @@ class Program_weight_tensor_parameter_26: class Program_weight_tensor_parameter_27: name = "parameter_27" + original_name = "linear_7.w_0" shape = [512, 128] dtype = "float32" min_val = float("-0.988648") @@ -308,6 +336,7 @@ class Program_weight_tensor_parameter_27: class Program_weight_tensor_parameter_28: name = "parameter_28" + original_name = "linear_6.b_0" shape = [512] dtype = "float32" min_val = float("-1.56353") @@ -319,6 +348,7 @@ class Program_weight_tensor_parameter_28: class Program_weight_tensor_parameter_29: name = "parameter_29" + original_name = "linear_6.w_0" shape = [128, 512] dtype = "float32" min_val = float("-0.414822") @@ -330,6 +360,7 @@ class Program_weight_tensor_parameter_29: class Program_weight_tensor_parameter_30: name = "parameter_30" + original_name = "layer_norm_6.b_0" shape = [128] dtype = "float32" min_val = float("-0.706417") @@ -341,6 +372,7 @@ class Program_weight_tensor_parameter_30: class Program_weight_tensor_parameter_31: name = "parameter_31" + original_name = "layer_norm_6.w_0" shape = [128] dtype = "float32" min_val = float("0.782251") @@ -352,6 +384,7 @@ class Program_weight_tensor_parameter_31: class Program_weight_tensor_parameter_32: name = "parameter_32" + original_name = "conv2d_5.b_0" shape = [128] dtype = "float32" min_val = float("-0.829148") @@ -363,6 +396,7 @@ class Program_weight_tensor_parameter_32: class Program_weight_tensor_parameter_33: name = "parameter_33" + original_name = "conv2d_5.w_0" shape = [128, 32, 5, 5] dtype = "float32" min_val = float("-0.276089") @@ -374,6 +408,7 @@ class Program_weight_tensor_parameter_33: class Program_weight_tensor_parameter_34: name = "parameter_34" + original_name = "layer_norm_5.b_0" shape = [128] dtype = "float32" min_val = float("-1.43839") @@ -385,6 +420,7 @@ class Program_weight_tensor_parameter_34: class Program_weight_tensor_parameter_35: name = "parameter_35" + original_name = "layer_norm_5.w_0" shape = [128] dtype = "float32" min_val = float("0.2699") @@ -396,6 +432,7 @@ class Program_weight_tensor_parameter_35: class Program_weight_tensor_parameter_36: name = "parameter_36" + original_name = "linear_5.b_0" shape = [128] dtype = "float32" min_val = float("-4.80893") @@ -407,6 +444,7 @@ class Program_weight_tensor_parameter_36: class Program_weight_tensor_parameter_37: name = "parameter_37" + original_name = "linear_5.w_0" shape = [512, 128] dtype = "float32" min_val = float("-0.66374") @@ -418,6 +456,7 @@ class Program_weight_tensor_parameter_37: class Program_weight_tensor_parameter_38: name = "parameter_38" + original_name = "linear_4.b_0" shape = [512] dtype = "float32" min_val = float("-1.38975") @@ -429,6 +468,7 @@ class Program_weight_tensor_parameter_38: class Program_weight_tensor_parameter_39: name = "parameter_39" + original_name = "linear_4.w_0" shape = [128, 512] dtype = "float32" min_val = float("-0.337775") @@ -440,6 +480,7 @@ class Program_weight_tensor_parameter_39: class Program_weight_tensor_parameter_40: name = "parameter_40" + original_name = "layer_norm_4.b_0" shape = [128] dtype = "float32" min_val = float("-1.21058") @@ -451,6 +492,7 @@ class Program_weight_tensor_parameter_40: class Program_weight_tensor_parameter_41: name = "parameter_41" + original_name = "layer_norm_4.w_0" shape = [128] dtype = "float32" min_val = float("0.698989") @@ -462,6 +504,7 @@ class Program_weight_tensor_parameter_41: class Program_weight_tensor_parameter_42: name = "parameter_42" + original_name = "conv2d_4.b_0" shape = [128] dtype = "float32" min_val = float("-1.06") @@ -473,6 +516,7 @@ class Program_weight_tensor_parameter_42: class Program_weight_tensor_parameter_43: name = "parameter_43" + original_name = "conv2d_4.w_0" shape = [128, 32, 5, 5] dtype = "float32" min_val = float("-0.351555") @@ -484,6 +528,7 @@ class Program_weight_tensor_parameter_43: class Program_weight_tensor_parameter_44: name = "parameter_44" + original_name = "layer_norm_3.b_0" shape = [128] dtype = "float32" min_val = float("-0.978141") @@ -495,6 +540,7 @@ class Program_weight_tensor_parameter_44: class Program_weight_tensor_parameter_45: name = "parameter_45" + original_name = "layer_norm_3.w_0" shape = [128] dtype = "float32" min_val = float("0.301306") @@ -506,6 +552,7 @@ class Program_weight_tensor_parameter_45: class Program_weight_tensor_parameter_46: name = "parameter_46" + original_name = "linear_3.b_0" shape = [128] dtype = "float32" min_val = float("-4.93517") @@ -517,6 +564,7 @@ class Program_weight_tensor_parameter_46: class Program_weight_tensor_parameter_47: name = "parameter_47" + original_name = "linear_3.w_0" shape = [512, 128] dtype = "float32" min_val = float("-0.634287") @@ -528,6 +576,7 @@ class Program_weight_tensor_parameter_47: class Program_weight_tensor_parameter_48: name = "parameter_48" + original_name = "linear_2.b_0" shape = [512] dtype = "float32" min_val = float("-1.76981") @@ -539,6 +588,7 @@ class Program_weight_tensor_parameter_48: class Program_weight_tensor_parameter_49: name = "parameter_49" + original_name = "linear_2.w_0" shape = [128, 512] dtype = "float32" min_val = float("-0.369617") @@ -550,6 +600,7 @@ class Program_weight_tensor_parameter_49: class Program_weight_tensor_parameter_50: name = "parameter_50" + original_name = "layer_norm_2.b_0" shape = [128] dtype = "float32" min_val = float("-0.941485") @@ -561,6 +612,7 @@ class Program_weight_tensor_parameter_50: class Program_weight_tensor_parameter_51: name = "parameter_51" + original_name = "layer_norm_2.w_0" shape = [128] dtype = "float32" min_val = float("0.631475") @@ -572,6 +624,7 @@ class Program_weight_tensor_parameter_51: class Program_weight_tensor_parameter_52: name = "parameter_52" + original_name = "conv2d_3.b_0" shape = [128] dtype = "float32" min_val = float("-1.6476") @@ -583,6 +636,7 @@ class Program_weight_tensor_parameter_52: class Program_weight_tensor_parameter_53: name = "parameter_53" + original_name = "conv2d_3.w_0" shape = [128, 32, 5, 5] dtype = "float32" min_val = float("-0.423287") @@ -594,6 +648,7 @@ class Program_weight_tensor_parameter_53: class Program_weight_tensor_parameter_54: name = "parameter_54" + original_name = "layer_norm_1.b_0" shape = [128] dtype = "float32" min_val = float("-1.06966") @@ -605,6 +660,7 @@ class Program_weight_tensor_parameter_54: class Program_weight_tensor_parameter_55: name = "parameter_55" + original_name = "layer_norm_1.w_0" shape = [128] dtype = "float32" min_val = float("0.476229") @@ -616,6 +672,7 @@ class Program_weight_tensor_parameter_55: class Program_weight_tensor_parameter_56: name = "parameter_56" + original_name = "linear_1.b_0" shape = [128] dtype = "float32" min_val = float("-0.885903") @@ -627,6 +684,7 @@ class Program_weight_tensor_parameter_56: class Program_weight_tensor_parameter_57: name = "parameter_57" + original_name = "linear_1.w_0" shape = [512, 128] dtype = "float32" min_val = float("-0.397077") @@ -638,6 +696,7 @@ class Program_weight_tensor_parameter_57: class Program_weight_tensor_parameter_58: name = "parameter_58" + original_name = "linear_0.b_0" shape = [512] dtype = "float32" min_val = float("-1.34719") @@ -649,6 +708,7 @@ class Program_weight_tensor_parameter_58: class Program_weight_tensor_parameter_59: name = "parameter_59" + original_name = "linear_0.w_0" shape = [128, 512] dtype = "float32" min_val = float("-0.549137") @@ -660,6 +720,7 @@ class Program_weight_tensor_parameter_59: class Program_weight_tensor_parameter_60: name = "parameter_60" + original_name = "layer_norm_0.b_0" shape = [128] dtype = "float32" min_val = float("-0.778871") @@ -671,6 +732,7 @@ class Program_weight_tensor_parameter_60: class Program_weight_tensor_parameter_61: name = "parameter_61" + original_name = "layer_norm_0.w_0" shape = [128] dtype = "float32" min_val = float("0.533039") @@ -682,6 +744,7 @@ class Program_weight_tensor_parameter_61: class Program_weight_tensor_parameter_62: name = "parameter_62" + original_name = "conv2d_2.b_0" shape = [128] dtype = "float32" min_val = float("-0.822867") @@ -693,6 +756,7 @@ class Program_weight_tensor_parameter_62: class Program_weight_tensor_parameter_63: name = "parameter_63" + original_name = "conv2d_2.w_0" shape = [128, 32, 5, 5] dtype = "float32" min_val = float("-0.486222") diff --git a/paddle_samples/PaddleX/ch_SVTRv2_rec/subgraph_14/input_meta.py b/paddle_samples/PaddleX/ch_SVTRv2_rec/subgraph_14/input_meta.py index 6726d5813..7050e1126 100644 --- a/paddle_samples/PaddleX/ch_SVTRv2_rec/subgraph_14/input_meta.py +++ b/paddle_samples/PaddleX/ch_SVTRv2_rec/subgraph_14/input_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_data_0: name = "data_0" + original_name = "var_817" shape = [4, 384, 1, 40] dtype = "float32" min_val = float("-6.75135") @@ -11,6 +12,7 @@ class Program_weight_tensor_data_0: class Program_weight_tensor_data_1: name = "data_1" + original_name = "var_819" shape = [4, 25] dtype = "int64" min_val = 0 @@ -20,6 +22,7 @@ class Program_weight_tensor_data_1: class Program_weight_tensor_data_2: name = "data_2" + original_name = "var_820" shape = [4] dtype = "int64" data = [3, 4, 3, 3] @@ -27,6 +30,7 @@ class Program_weight_tensor_data_2: class Program_weight_tensor_data_3: name = "data_3" + original_name = "var_832" shape = [5000, 1, 384] dtype = "float32" min_val = float("-1.0") diff --git a/paddle_samples/PaddleX/ch_SVTRv2_rec/subgraph_14/weight_meta.py b/paddle_samples/PaddleX/ch_SVTRv2_rec/subgraph_14/weight_meta.py index 81f08147b..005492cbe 100644 --- a/paddle_samples/PaddleX/ch_SVTRv2_rec/subgraph_14/weight_meta.py +++ b/paddle_samples/PaddleX/ch_SVTRv2_rec/subgraph_14/weight_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_parameter_0: name = "parameter_0" + original_name = "linear_80.w_0" shape = [384, 6629] dtype = "float32" min_val = float("-0.342261") @@ -11,6 +12,7 @@ class Program_weight_tensor_parameter_0: class Program_weight_tensor_parameter_1: name = "parameter_1" + original_name = "layer_norm_48.b_0" shape = [384] dtype = "float32" min_val = float("-2.01452") @@ -22,6 +24,7 @@ class Program_weight_tensor_parameter_1: class Program_weight_tensor_parameter_2: name = "parameter_2" + original_name = "layer_norm_48.w_0" shape = [384] dtype = "float32" min_val = float("0.163422") @@ -33,6 +36,7 @@ class Program_weight_tensor_parameter_2: class Program_weight_tensor_parameter_3: name = "parameter_3" + original_name = "linear_79.b_0" shape = [384] dtype = "float32" min_val = float("-0.646689") @@ -44,6 +48,7 @@ class Program_weight_tensor_parameter_3: class Program_weight_tensor_parameter_4: name = "parameter_4" + original_name = "linear_79.w_0" shape = [1536, 384] dtype = "float32" min_val = float("-1.60316") @@ -55,6 +60,7 @@ class Program_weight_tensor_parameter_4: class Program_weight_tensor_parameter_5: name = "parameter_5" + original_name = "linear_78.b_0" shape = [1536] dtype = "float32" min_val = float("-2.77784") @@ -66,6 +72,7 @@ class Program_weight_tensor_parameter_5: class Program_weight_tensor_parameter_6: name = "parameter_6" + original_name = "linear_78.w_0" shape = [384, 1536] dtype = "float32" min_val = float("-0.471037") @@ -77,6 +84,7 @@ class Program_weight_tensor_parameter_6: class Program_weight_tensor_parameter_7: name = "parameter_7" + original_name = "layer_norm_47.b_0" shape = [384] dtype = "float32" min_val = float("-2.65602") @@ -88,6 +96,7 @@ class Program_weight_tensor_parameter_7: class Program_weight_tensor_parameter_8: name = "parameter_8" + original_name = "layer_norm_47.w_0" shape = [384] dtype = "float32" min_val = float("0.0759988") @@ -99,6 +108,7 @@ class Program_weight_tensor_parameter_8: class Program_weight_tensor_parameter_9: name = "parameter_9" + original_name = "linear_77.b_0" shape = [384] dtype = "float32" min_val = float("-0.648992") @@ -110,6 +120,7 @@ class Program_weight_tensor_parameter_9: class Program_weight_tensor_parameter_10: name = "parameter_10" + original_name = "linear_77.w_0" shape = [384, 384] dtype = "float32" min_val = float("-0.506227") @@ -121,6 +132,7 @@ class Program_weight_tensor_parameter_10: class Program_weight_tensor_parameter_11: name = "parameter_11" + original_name = "linear_76.b_0" shape = [768] dtype = "float32" min_val = float("-0.815102") @@ -132,6 +144,7 @@ class Program_weight_tensor_parameter_11: class Program_weight_tensor_parameter_12: name = "parameter_12" + original_name = "linear_76.w_0" shape = [384, 768] dtype = "float32" min_val = float("-0.540834") @@ -143,6 +156,7 @@ class Program_weight_tensor_parameter_12: class Program_weight_tensor_parameter_13: name = "parameter_13" + original_name = "linear_75.b_0" shape = [384] dtype = "float32" min_val = float("-3.03302") @@ -154,6 +168,7 @@ class Program_weight_tensor_parameter_13: class Program_weight_tensor_parameter_14: name = "parameter_14" + original_name = "linear_75.w_0" shape = [384, 384] dtype = "float32" min_val = float("-0.385865") @@ -165,6 +180,7 @@ class Program_weight_tensor_parameter_14: class Program_weight_tensor_parameter_15: name = "parameter_15" + original_name = "layer_norm_46.b_0" shape = [384] dtype = "float32" min_val = float("-2.49454") @@ -176,6 +192,7 @@ class Program_weight_tensor_parameter_15: class Program_weight_tensor_parameter_16: name = "parameter_16" + original_name = "layer_norm_46.w_0" shape = [384] dtype = "float32" min_val = float("-0.106595") @@ -187,6 +204,7 @@ class Program_weight_tensor_parameter_16: class Program_weight_tensor_parameter_17: name = "parameter_17" + original_name = "linear_74.b_0" shape = [384] dtype = "float32" min_val = float("-7.57866") @@ -198,6 +216,7 @@ class Program_weight_tensor_parameter_17: class Program_weight_tensor_parameter_18: name = "parameter_18" + original_name = "linear_74.w_0" shape = [384, 384] dtype = "float32" min_val = float("-1.09284") @@ -209,6 +228,7 @@ class Program_weight_tensor_parameter_18: class Program_weight_tensor_parameter_19: name = "parameter_19" + original_name = "linear_73.b_0" shape = [1152] dtype = "float32" min_val = float("-2.83286") @@ -220,6 +240,7 @@ class Program_weight_tensor_parameter_19: class Program_weight_tensor_parameter_20: name = "parameter_20" + original_name = "linear_73.w_0" shape = [384, 1152] dtype = "float32" min_val = float("-0.339692") @@ -231,6 +252,7 @@ class Program_weight_tensor_parameter_20: class Program_weight_tensor_parameter_21: name = "parameter_21" + original_name = "layer_norm_45.b_0" shape = [384] dtype = "float32" min_val = float("-0.485227") @@ -242,6 +264,7 @@ class Program_weight_tensor_parameter_21: class Program_weight_tensor_parameter_22: name = "parameter_22" + original_name = "layer_norm_45.w_0" shape = [384] dtype = "float32" min_val = float("-0.00470934") @@ -253,6 +276,7 @@ class Program_weight_tensor_parameter_22: class Program_weight_tensor_parameter_23: name = "parameter_23" + original_name = "linear_72.b_0" shape = [384] dtype = "float32" min_val = float("-0.324262") @@ -264,6 +288,7 @@ class Program_weight_tensor_parameter_23: class Program_weight_tensor_parameter_24: name = "parameter_24" + original_name = "linear_72.w_0" shape = [1536, 384] dtype = "float32" min_val = float("-1.52937") @@ -275,6 +300,7 @@ class Program_weight_tensor_parameter_24: class Program_weight_tensor_parameter_25: name = "parameter_25" + original_name = "linear_71.b_0" shape = [1536] dtype = "float32" min_val = float("-2.05469") @@ -286,6 +312,7 @@ class Program_weight_tensor_parameter_25: class Program_weight_tensor_parameter_26: name = "parameter_26" + original_name = "linear_71.w_0" shape = [384, 1536] dtype = "float32" min_val = float("-0.378399") @@ -297,6 +324,7 @@ class Program_weight_tensor_parameter_26: class Program_weight_tensor_parameter_27: name = "parameter_27" + original_name = "layer_norm_44.b_0" shape = [384] dtype = "float32" min_val = float("-4.4161") @@ -308,6 +336,7 @@ class Program_weight_tensor_parameter_27: class Program_weight_tensor_parameter_28: name = "parameter_28" + original_name = "layer_norm_44.w_0" shape = [384] dtype = "float32" min_val = float("0.596234") @@ -319,6 +348,7 @@ class Program_weight_tensor_parameter_28: class Program_weight_tensor_parameter_29: name = "parameter_29" + original_name = "linear_70.b_0" shape = [384] dtype = "float32" min_val = float("-0.398408") @@ -330,6 +360,7 @@ class Program_weight_tensor_parameter_29: class Program_weight_tensor_parameter_30: name = "parameter_30" + original_name = "linear_70.w_0" shape = [384, 384] dtype = "float32" min_val = float("-0.70338") @@ -341,6 +372,7 @@ class Program_weight_tensor_parameter_30: class Program_weight_tensor_parameter_31: name = "parameter_31" + original_name = "linear_69.b_0" shape = [768] dtype = "float32" min_val = float("-0.907861") @@ -352,6 +384,7 @@ class Program_weight_tensor_parameter_31: class Program_weight_tensor_parameter_32: name = "parameter_32" + original_name = "linear_69.w_0" shape = [384, 768] dtype = "float32" min_val = float("-0.337297") @@ -363,6 +396,7 @@ class Program_weight_tensor_parameter_32: class Program_weight_tensor_parameter_33: name = "parameter_33" + original_name = "linear_68.b_0" shape = [384] dtype = "float32" min_val = float("-3.12403") @@ -374,6 +408,7 @@ class Program_weight_tensor_parameter_33: class Program_weight_tensor_parameter_34: name = "parameter_34" + original_name = "linear_68.w_0" shape = [384, 384] dtype = "float32" min_val = float("-0.222749") @@ -385,6 +420,7 @@ class Program_weight_tensor_parameter_34: class Program_weight_tensor_parameter_35: name = "parameter_35" + original_name = "layer_norm_43.b_0" shape = [384] dtype = "float32" min_val = float("-1.38136") @@ -396,6 +432,7 @@ class Program_weight_tensor_parameter_35: class Program_weight_tensor_parameter_36: name = "parameter_36" + original_name = "layer_norm_43.w_0" shape = [384] dtype = "float32" min_val = float("0.114127") @@ -407,6 +444,7 @@ class Program_weight_tensor_parameter_36: class Program_weight_tensor_parameter_37: name = "parameter_37" + original_name = "linear_67.b_0" shape = [384] dtype = "float32" min_val = float("-0.927027") @@ -418,6 +456,7 @@ class Program_weight_tensor_parameter_37: class Program_weight_tensor_parameter_38: name = "parameter_38" + original_name = "linear_67.w_0" shape = [384, 384] dtype = "float32" min_val = float("-0.301063") @@ -429,6 +468,7 @@ class Program_weight_tensor_parameter_38: class Program_weight_tensor_parameter_39: name = "parameter_39" + original_name = "linear_66.b_0" shape = [1152] dtype = "float32" min_val = float("-3.37262") @@ -440,6 +480,7 @@ class Program_weight_tensor_parameter_39: class Program_weight_tensor_parameter_40: name = "parameter_40" + original_name = "linear_66.w_0" shape = [384, 1152] dtype = "float32" min_val = float("-0.742585") @@ -451,6 +492,7 @@ class Program_weight_tensor_parameter_40: class Program_weight_tensor_parameter_41: name = "parameter_41" + original_name = "embedding_0.w_0" shape = [6629, 384] dtype = "float32" min_val = float("-0.386902") @@ -462,6 +504,7 @@ class Program_weight_tensor_parameter_41: class Program_weight_tensor_parameter_42: name = "parameter_42" + original_name = "linear_65.w_0" shape = [384, 384] dtype = "float32" min_val = float("-0.465531") diff --git a/paddle_samples/PaddleX/ch_SVTRv2_rec/subgraph_8/input_meta.py b/paddle_samples/PaddleX/ch_SVTRv2_rec/subgraph_8/input_meta.py index d9f8e6bc0..351e648de 100644 --- a/paddle_samples/PaddleX/ch_SVTRv2_rec/subgraph_8/input_meta.py +++ b/paddle_samples/PaddleX/ch_SVTRv2_rec/subgraph_8/input_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_data_0: name = "data_0" + original_name = "var_2488" shape = [5, 384, 1, 40] dtype = "float32" min_val = float("-8.03003") @@ -11,6 +12,7 @@ class Program_weight_tensor_data_0: class Program_weight_tensor_data_1: name = "data_1" + original_name = "var_2490" shape = [5, 25] dtype = "int64" min_val = 0 @@ -20,6 +22,7 @@ class Program_weight_tensor_data_1: class Program_weight_tensor_data_2: name = "data_2" + original_name = "var_2491" shape = [5] dtype = "int64" data = [5, 4, 5, 10, 3] @@ -27,6 +30,7 @@ class Program_weight_tensor_data_2: class Program_weight_tensor_data_3: name = "data_3" + original_name = "var_2503" shape = [5000, 1, 384] dtype = "float32" min_val = float("-1.0") diff --git a/paddle_samples/PaddleX/ch_SVTRv2_rec/subgraph_8/weight_meta.py b/paddle_samples/PaddleX/ch_SVTRv2_rec/subgraph_8/weight_meta.py index 81f08147b..005492cbe 100644 --- a/paddle_samples/PaddleX/ch_SVTRv2_rec/subgraph_8/weight_meta.py +++ b/paddle_samples/PaddleX/ch_SVTRv2_rec/subgraph_8/weight_meta.py @@ -1,5 +1,6 @@ class Program_weight_tensor_parameter_0: name = "parameter_0" + original_name = "linear_80.w_0" shape = [384, 6629] dtype = "float32" min_val = float("-0.342261") @@ -11,6 +12,7 @@ class Program_weight_tensor_parameter_0: class Program_weight_tensor_parameter_1: name = "parameter_1" + original_name = "layer_norm_48.b_0" shape = [384] dtype = "float32" min_val = float("-2.01452") @@ -22,6 +24,7 @@ class Program_weight_tensor_parameter_1: class Program_weight_tensor_parameter_2: name = "parameter_2" + original_name = "layer_norm_48.w_0" shape = [384] dtype = "float32" min_val = float("0.163422") @@ -33,6 +36,7 @@ class Program_weight_tensor_parameter_2: class Program_weight_tensor_parameter_3: name = "parameter_3" + original_name = "linear_79.b_0" shape = [384] dtype = "float32" min_val = float("-0.646689") @@ -44,6 +48,7 @@ class Program_weight_tensor_parameter_3: class Program_weight_tensor_parameter_4: name = "parameter_4" + original_name = "linear_79.w_0" shape = [1536, 384] dtype = "float32" min_val = float("-1.60316") @@ -55,6 +60,7 @@ class Program_weight_tensor_parameter_4: class Program_weight_tensor_parameter_5: name = "parameter_5" + original_name = "linear_78.b_0" shape = [1536] dtype = "float32" min_val = float("-2.77784") @@ -66,6 +72,7 @@ class Program_weight_tensor_parameter_5: class Program_weight_tensor_parameter_6: name = "parameter_6" + original_name = "linear_78.w_0" shape = [384, 1536] dtype = "float32" min_val = float("-0.471037") @@ -77,6 +84,7 @@ class Program_weight_tensor_parameter_6: class Program_weight_tensor_parameter_7: name = "parameter_7" + original_name = "layer_norm_47.b_0" shape = [384] dtype = "float32" min_val = float("-2.65602") @@ -88,6 +96,7 @@ class Program_weight_tensor_parameter_7: class Program_weight_tensor_parameter_8: name = "parameter_8" + original_name = "layer_norm_47.w_0" shape = [384] dtype = "float32" min_val = float("0.0759988") @@ -99,6 +108,7 @@ class Program_weight_tensor_parameter_8: class Program_weight_tensor_parameter_9: name = "parameter_9" + original_name = "linear_77.b_0" shape = [384] dtype = "float32" min_val = float("-0.648992") @@ -110,6 +120,7 @@ class Program_weight_tensor_parameter_9: class Program_weight_tensor_parameter_10: name = "parameter_10" + original_name = "linear_77.w_0" shape = [384, 384] dtype = "float32" min_val = float("-0.506227") @@ -121,6 +132,7 @@ class Program_weight_tensor_parameter_10: class Program_weight_tensor_parameter_11: name = "parameter_11" + original_name = "linear_76.b_0" shape = [768] dtype = "float32" min_val = float("-0.815102") @@ -132,6 +144,7 @@ class Program_weight_tensor_parameter_11: class Program_weight_tensor_parameter_12: name = "parameter_12" + original_name = "linear_76.w_0" shape = [384, 768] dtype = "float32" min_val = float("-0.540834") @@ -143,6 +156,7 @@ class Program_weight_tensor_parameter_12: class Program_weight_tensor_parameter_13: name = "parameter_13" + original_name = "linear_75.b_0" shape = [384] dtype = "float32" min_val = float("-3.03302") @@ -154,6 +168,7 @@ class Program_weight_tensor_parameter_13: class Program_weight_tensor_parameter_14: name = "parameter_14" + original_name = "linear_75.w_0" shape = [384, 384] dtype = "float32" min_val = float("-0.385865") @@ -165,6 +180,7 @@ class Program_weight_tensor_parameter_14: class Program_weight_tensor_parameter_15: name = "parameter_15" + original_name = "layer_norm_46.b_0" shape = [384] dtype = "float32" min_val = float("-2.49454") @@ -176,6 +192,7 @@ class Program_weight_tensor_parameter_15: class Program_weight_tensor_parameter_16: name = "parameter_16" + original_name = "layer_norm_46.w_0" shape = [384] dtype = "float32" min_val = float("-0.106595") @@ -187,6 +204,7 @@ class Program_weight_tensor_parameter_16: class Program_weight_tensor_parameter_17: name = "parameter_17" + original_name = "linear_74.b_0" shape = [384] dtype = "float32" min_val = float("-7.57866") @@ -198,6 +216,7 @@ class Program_weight_tensor_parameter_17: class Program_weight_tensor_parameter_18: name = "parameter_18" + original_name = "linear_74.w_0" shape = [384, 384] dtype = "float32" min_val = float("-1.09284") @@ -209,6 +228,7 @@ class Program_weight_tensor_parameter_18: class Program_weight_tensor_parameter_19: name = "parameter_19" + original_name = "linear_73.b_0" shape = [1152] dtype = "float32" min_val = float("-2.83286") @@ -220,6 +240,7 @@ class Program_weight_tensor_parameter_19: class Program_weight_tensor_parameter_20: name = "parameter_20" + original_name = "linear_73.w_0" shape = [384, 1152] dtype = "float32" min_val = float("-0.339692") @@ -231,6 +252,7 @@ class Program_weight_tensor_parameter_20: class Program_weight_tensor_parameter_21: name = "parameter_21" + original_name = "layer_norm_45.b_0" shape = [384] dtype = "float32" min_val = float("-0.485227") @@ -242,6 +264,7 @@ class Program_weight_tensor_parameter_21: class Program_weight_tensor_parameter_22: name = "parameter_22" + original_name = "layer_norm_45.w_0" shape = [384] dtype = "float32" min_val = float("-0.00470934") @@ -253,6 +276,7 @@ class Program_weight_tensor_parameter_22: class Program_weight_tensor_parameter_23: name = "parameter_23" + original_name = "linear_72.b_0" shape = [384] dtype = "float32" min_val = float("-0.324262") @@ -264,6 +288,7 @@ class Program_weight_tensor_parameter_23: class Program_weight_tensor_parameter_24: name = "parameter_24" + original_name = "linear_72.w_0" shape = [1536, 384] dtype = "float32" min_val = float("-1.52937") @@ -275,6 +300,7 @@ class Program_weight_tensor_parameter_24: class Program_weight_tensor_parameter_25: name = "parameter_25" + original_name = "linear_71.b_0" shape = [1536] dtype = "float32" min_val = float("-2.05469") @@ -286,6 +312,7 @@ class Program_weight_tensor_parameter_25: class Program_weight_tensor_parameter_26: name = "parameter_26" + original_name = "linear_71.w_0" shape = [384, 1536] dtype = "float32" min_val = float("-0.378399") @@ -297,6 +324,7 @@ class Program_weight_tensor_parameter_26: class Program_weight_tensor_parameter_27: name = "parameter_27" + original_name = "layer_norm_44.b_0" shape = [384] dtype = "float32" min_val = float("-4.4161") @@ -308,6 +336,7 @@ class Program_weight_tensor_parameter_27: class Program_weight_tensor_parameter_28: name = "parameter_28" + original_name = "layer_norm_44.w_0" shape = [384] dtype = "float32" min_val = float("0.596234") @@ -319,6 +348,7 @@ class Program_weight_tensor_parameter_28: class Program_weight_tensor_parameter_29: name = "parameter_29" + original_name = "linear_70.b_0" shape = [384] dtype = "float32" min_val = float("-0.398408") @@ -330,6 +360,7 @@ class Program_weight_tensor_parameter_29: class Program_weight_tensor_parameter_30: name = "parameter_30" + original_name = "linear_70.w_0" shape = [384, 384] dtype = "float32" min_val = float("-0.70338") @@ -341,6 +372,7 @@ class Program_weight_tensor_parameter_30: class Program_weight_tensor_parameter_31: name = "parameter_31" + original_name = "linear_69.b_0" shape = [768] dtype = "float32" min_val = float("-0.907861") @@ -352,6 +384,7 @@ class Program_weight_tensor_parameter_31: class Program_weight_tensor_parameter_32: name = "parameter_32" + original_name = "linear_69.w_0" shape = [384, 768] dtype = "float32" min_val = float("-0.337297") @@ -363,6 +396,7 @@ class Program_weight_tensor_parameter_32: class Program_weight_tensor_parameter_33: name = "parameter_33" + original_name = "linear_68.b_0" shape = [384] dtype = "float32" min_val = float("-3.12403") @@ -374,6 +408,7 @@ class Program_weight_tensor_parameter_33: class Program_weight_tensor_parameter_34: name = "parameter_34" + original_name = "linear_68.w_0" shape = [384, 384] dtype = "float32" min_val = float("-0.222749") @@ -385,6 +420,7 @@ class Program_weight_tensor_parameter_34: class Program_weight_tensor_parameter_35: name = "parameter_35" + original_name = "layer_norm_43.b_0" shape = [384] dtype = "float32" min_val = float("-1.38136") @@ -396,6 +432,7 @@ class Program_weight_tensor_parameter_35: class Program_weight_tensor_parameter_36: name = "parameter_36" + original_name = "layer_norm_43.w_0" shape = [384] dtype = "float32" min_val = float("0.114127") @@ -407,6 +444,7 @@ class Program_weight_tensor_parameter_36: class Program_weight_tensor_parameter_37: name = "parameter_37" + original_name = "linear_67.b_0" shape = [384] dtype = "float32" min_val = float("-0.927027") @@ -418,6 +456,7 @@ class Program_weight_tensor_parameter_37: class Program_weight_tensor_parameter_38: name = "parameter_38" + original_name = "linear_67.w_0" shape = [384, 384] dtype = "float32" min_val = float("-0.301063") @@ -429,6 +468,7 @@ class Program_weight_tensor_parameter_38: class Program_weight_tensor_parameter_39: name = "parameter_39" + original_name = "linear_66.b_0" shape = [1152] dtype = "float32" min_val = float("-3.37262") @@ -440,6 +480,7 @@ class Program_weight_tensor_parameter_39: class Program_weight_tensor_parameter_40: name = "parameter_40" + original_name = "linear_66.w_0" shape = [384, 1152] dtype = "float32" min_val = float("-0.742585") @@ -451,6 +492,7 @@ class Program_weight_tensor_parameter_40: class Program_weight_tensor_parameter_41: name = "parameter_41" + original_name = "embedding_0.w_0" shape = [6629, 384] dtype = "float32" min_val = float("-0.386902") @@ -462,6 +504,7 @@ class Program_weight_tensor_parameter_41: class Program_weight_tensor_parameter_42: name = "parameter_42" + original_name = "linear_65.w_0" shape = [384, 384] dtype = "float32" min_val = float("-0.465531") From a7982d590f2e1bf5fc37e76c823994c98a139a61 Mon Sep 17 00:00:00 2001 From: Liu Yiqun Date: Mon, 8 Dec 2025 12:01:50 +0800 Subject: [PATCH 08/15] Optimize codes. --- graph_net/paddle/graph_meta_restorer.py | 49 ++++++++++------------ graph_net/paddle/naive_graph_decomposer.py | 2 +- 2 files changed, 24 insertions(+), 27 deletions(-) diff --git a/graph_net/paddle/graph_meta_restorer.py b/graph_net/paddle/graph_meta_restorer.py index f13ac2340..ddcc02eac 100644 --- a/graph_net/paddle/graph_meta_restorer.py +++ b/graph_net/paddle/graph_meta_restorer.py @@ -36,34 +36,20 @@ def __call__(self, model_path): is_weight_meta_fully_updated = self._update_by_original_name( weight_meta_classes, self.original_name2parent_weight_meta_class ) - if is_weight_meta_fully_updated: - new_weight_meta_codes = [] - for meta_class in weight_meta_classes: - new_weight_meta_codes.append( - self._generate_py_code_from_meta_class(meta_class) - ) - - weight_meta_file_path = os.path.join(model_path, "weight_meta.py") - if self.config["update_inplace"]: - print(f"[GraphMetaRestorer] Update {weight_meta_file_path}") - with open(weight_meta_file_path, "w") as f: - f.write("\n\n".join(new_weight_meta_codes)) + if ( + not self.config["weight_meta_allow_partial_update"] + or is_weight_meta_fully_updated + ): + self._rewrite_meta_codes(model_path, weight_meta_classes, "weight_meta.py") is_input_meta_fully_updated = self._update_by_tensor_spec( input_meta_classes, self.original_name2parent_input_meta_class ) - if is_input_meta_fully_updated: - new_input_meta_codes = [] - for meta_class in input_meta_classes: - new_input_meta_codes.append( - self._generate_py_code_from_meta_class(meta_class) - ) - - input_meta_file_path = os.path.join(model_path, "input_meta.py") - if self.config["update_inplace"]: - print(f"[GraphMetaRestorer] Update {input_meta_file_path}") - with open(input_meta_file_path, "w") as f: - f.write("\n\n".join(new_input_meta_codes)) + if ( + not self.config["input_meta_allow_partial_update"] + or is_input_meta_fully_updated + ): + self._rewrite_meta_codes(model_path, input_meta_classes, "input_meta.py") def _load_weight_and_input_meta_classes(self, model_path): weight_meta_file_path = os.path.join(model_path, "weight_meta.py") @@ -115,7 +101,7 @@ def _update_by_original_name(self, meta_classes, original_name2parent_meta_class updated_class_names.add(meta_class.name) print( - f"[GraphMetaRestorer] {len(updated_class_names)}/{len(meta_classes)} classes are updated." + f"[GraphMetaRestorer] {len(updated_class_names)}/{len(meta_classes)} classes can be restored." ) return len(meta_classes) == len(updated_class_names) @@ -133,7 +119,7 @@ def _update_by_tensor_spec(self, meta_classes, original_name2parent_meta_class): updated_class_names.add(meta_class.name) print( - f"[GraphMetaRestorer] {len(updated_class_names)}/{len(meta_classes)} classes are updated." + f"[GraphMetaRestorer] {len(updated_class_names)}/{len(meta_classes)} classes can be restored." ) return len(meta_classes) == len(updated_class_names) @@ -151,3 +137,14 @@ def _generate_py_code_from_meta_class(self, meta_class): ) lines.append(f" {name} = {value_str}") return "\n".join(lines) + + def _rewrite_meta_codes(self, model_path, updated_meta_classes, filename): + new_meta_codes = [] + for meta_class in updated_meta_classes: + new_meta_codes.append(self._generate_py_code_from_meta_class(meta_class)) + + meta_file_path = os.path.join(model_path, filename) + if self.config["update_inplace"]: + print(f"[GraphMetaRestorer] Update {meta_file_path}") + with open(meta_file_path, "w") as f: + f.write("\n\n".join(new_meta_codes)) diff --git a/graph_net/paddle/naive_graph_decomposer.py b/graph_net/paddle/naive_graph_decomposer.py index 8300d9400..1f14b3711 100644 --- a/graph_net/paddle/naive_graph_decomposer.py +++ b/graph_net/paddle/naive_graph_decomposer.py @@ -15,7 +15,7 @@ def __init__( input_spec=None, ): self.model = model - self.name = name + self.name = name.replace("/", "_") self.dynamic = dynamic self.input_spec = input_spec self.config = self.make_config(**config) From 5c40420dce5c8420974c68557b661eb2b15c5536 Mon Sep 17 00:00:00 2001 From: Liu Yiqun Date: Mon, 8 Dec 2025 12:11:32 +0800 Subject: [PATCH 09/15] Enable meta restorer in binary composer. --- graph_net/paddle/run_model.py | 11 +++++++++++ graph_net/subgraph_decompose_and_evaluation_step.py | 13 +++++++++++++ 2 files changed, 24 insertions(+) diff --git a/graph_net/paddle/run_model.py b/graph_net/paddle/run_model.py index 31bcca508..fb4bfb52e 100644 --- a/graph_net/paddle/run_model.py +++ b/graph_net/paddle/run_model.py @@ -2,6 +2,8 @@ import json import base64 import argparse +import numpy as np +import random os.environ["FLAGS_logging_pir_py_code_dir"] = "/tmp/dump" @@ -10,6 +12,12 @@ from graph_net.paddle import utils +def set_seed(random_seed): + paddle.seed(random_seed) + random.seed(random_seed) + np.random.seed(random_seed) + + def load_class_from_file(file_path: str, class_name: str): print(f"Load {class_name} from {file_path}") module = imp_util.load_module(file_path, "unnamed") @@ -62,6 +70,9 @@ def main(args): model = model_class() print(f"{model_path=}") + initalize_seed = 123 + set_seed(random_seed=initalize_seed) + input_dict = get_input_dict(args.model_path) model = _get_decorator(args)(model) model(**input_dict) diff --git a/graph_net/subgraph_decompose_and_evaluation_step.py b/graph_net/subgraph_decompose_and_evaluation_step.py index e1620c776..88a16642f 100755 --- a/graph_net/subgraph_decompose_and_evaluation_step.py +++ b/graph_net/subgraph_decompose_and_evaluation_step.py @@ -187,6 +187,19 @@ def run_decomposer_for_single_model( }, }, } + if framework == "paddle": + post_process_configs = { + "post_extract_process_path": f"{graphnet_root}/graph_net/{framework}/graph_meta_restorer.py", + "post_extract_process_class_name": "GraphMetaRestorer", + "post_extract_process_config": { + "update_inplace": True, + "weight_meta_allow_partial_update": True, + "input_meta_allow_partial_update": False, + }, + } + for key, value in post_process_configs.items(): + decorator_config["decorator_config"]["custom_extractor_config"][key] = value + decorator_config_b64 = convert_json_to_b64_string(decorator_config) print( From 11965497f65873b7ceb10a373a735770e0a19113 Mon Sep 17 00:00:00 2001 From: Liu Yiqun Date: Mon, 8 Dec 2025 17:32:00 +0800 Subject: [PATCH 10/15] Optimzie codes. --- .../subgraph_decompose_and_evaluation_step.py | 110 +++++++++--------- 1 file changed, 58 insertions(+), 52 deletions(-) diff --git a/graph_net/subgraph_decompose_and_evaluation_step.py b/graph_net/subgraph_decompose_and_evaluation_step.py index 29546de00..308cb413b 100755 --- a/graph_net/subgraph_decompose_and_evaluation_step.py +++ b/graph_net/subgraph_decompose_and_evaluation_step.py @@ -139,6 +139,19 @@ def load(self, work_dir): def get_config_path(self, work_dir) -> str: return os.path.join(work_dir, "decompose_config.json") + def update_running_states(self, pass_id, **kwargs): + pass_key = get_pass_name(pass_id) + if self.running_states.get(pass_key, None) is None: + self.running_states[pass_key] = {} + + for key, value in kwargs.items(): + assert key in [ + "num_incorrect_models", + "incorrect_models", + "failed_decomposition_models", + ] + self.running_states[pass_key][key] = value + def get_rectfied_model_path(model_path): graphnet_root = path_utils.get_graphnet_root() @@ -268,11 +281,10 @@ def run_evaluation( def reconstruct_subgraph_size(split_positions: List[int]) -> List[list]: """Reconstructs subgraph size based on sorted split positions.""" - deduplicated_splits = list(dict.fromkeys(split_positions)) + deduplicated_splits = sorted(set(split_positions)) subgraph_size = [ - [deduplicated_splits[i], deduplicated_splits[i + 1]] - for i in range(len(deduplicated_splits) - 1) + deduplicated_splits[i : i + 2] for i in range(len(deduplicated_splits) - 1) ] return subgraph_size @@ -328,7 +340,7 @@ def extract_model_name_and_subgraph_idx(subgraph_path): return model_name, subgraph_idx -def generate_refined_tasks(base_output_dir, current_pass_id): +def generate_successor_tasks(base_output_dir, current_pass_id): """Generates tasks for Pass > 0 based on previous pass results.""" prev_pass_dir = get_decompose_workspace_path(base_output_dir, current_pass_id - 1) print(f"[Init] Resuming from Pass_{current_pass_id - 1} (Dir: {prev_pass_dir})...") @@ -377,7 +389,7 @@ def prepare_tasks_and_verify(args, current_pass_id, base_output_dir): if current_pass_id == 0: tasks_map, max_subgraph_size, running_states = generate_initial_tasks(args) else: - tasks_map, max_subgraph_size, running_states = generate_refined_tasks( + tasks_map, max_subgraph_size, running_states = generate_successor_tasks( base_output_dir, current_pass_id ) @@ -435,15 +447,13 @@ def execute_decomposition_phase(max_subgraph_size, tasks_map, framework, workspa os.makedirs(decomposed_samples_dir, exist_ok=True) max_subgraph_size = max(1, max_subgraph_size // 2) for model_name, task_info in tasks_map.items(): - splits = task_info["split_positions"] - if not splits or len(splits) < 2: + split_positions = task_info["split_positions"] + if not split_positions or len(split_positions) < 2: continue - start_pos = splits[0] - first_segment_end = splits[1] - new_splits = calculate_split_positions_for_subgraph( - [start_pos, first_segment_end], max_subgraph_size + new_split_positions = calculate_split_positions_for_subgraph( + split_positions[0:2], max_subgraph_size ) - task_info["split_positions"] = new_splits + task_info["split_positions"] = new_split_positions else: need_decompose = False print() @@ -454,6 +464,15 @@ def execute_decomposition_phase(max_subgraph_size, tasks_map, framework, workspa return tasks_map, failed_decomposition, max_subgraph_size +def count_unique_original_models(incorrect_models): + original_model_paths = set( + model_name + for subgraph_path in incorrect_models + for model_name, _ in [extract_model_name_and_subgraph_idx(subgraph_path)] + ) + return len(original_model_paths) + + def print_summary_and_suggestion(next_round_models, max_subgraph_size): """Print suggestion/result.""" print("\n" + "=" * 80) @@ -480,9 +499,14 @@ def main(args): tasks_map, max_subgraph_size, running_states = prepare_tasks_and_verify( args, current_pass_id, base_output_dir ) - pass_work_dir = get_decompose_workspace_path(base_output_dir, current_pass_id) - if not os.path.exists(pass_work_dir): - os.makedirs(pass_work_dir, exist_ok=True) + decompose_config = DecomposeConfig( + max_subgraph_size=max_subgraph_size, + tasks_map=tasks_map, + running_states=running_states, + ) + work_dir = get_decompose_workspace_path(base_output_dir, current_pass_id) + if not os.path.exists(work_dir): + os.makedirs(work_dir, exist_ok=True) # --- Step 2: Decomposition --- if task_controller.task_scheduler["run_decomposer"]: @@ -492,63 +516,45 @@ def main(args): failed_decomposition, max_subgraph_size, ) = execute_decomposition_phase( - max_subgraph_size, tasks_map, args.framework, pass_work_dir + max_subgraph_size, tasks_map, args.framework, work_dir + ) + decompose_config.update_running_states( + current_pass_id, failed_decomposition_models=list(failed_decomposition) ) - running_states.get(f"pass_{current_pass_id}", {})[ - "failed_decomposition_models" - ] = list(failed_decomposition) else: print("\n--- Phase 1: Decomposition (skipped) ---", flush=True) - config = DecomposeConfig.load(pass_work_dir) - max_subgraph_size = config.max_subgraph_size - tasks_map = config.tasks_map - running_states = config.running_states + decompose_config = DecomposeConfig.load(work_dir) # --- Step 3: Evaluation --- - pass_log_path = os.path.join(pass_work_dir, "batch_test_result.log") + log_path = os.path.join(work_dir, f"log_{task_controller.test_module_name}.txt") if task_controller.task_scheduler["run_evaluation"]: print(f"\n--- Phase 2: Evaluation ({task_controller.test_module_name}) ---") - run_evaluation(args.framework, args.test_config, pass_work_dir, pass_log_path) + run_evaluation(args.framework, args.test_config, work_dir, log_path) # --- Step 4: Analysis --- - next_round_models = set() + next_pass_incorrect_models = set() if task_controller.task_scheduler["post_analysis"]: tolerance = ( args.tolerance[0] if isinstance(args.tolerance, list) else args.tolerance ) print(f"\n--- Phase 3: Analysis (torlance={tolerance}) ---") - next_round_models = sorted(get_incorrect_models(tolerance, pass_log_path)) - original_model_paths = set( - [ - model_name - for subgraph_path in next_round_models - for model_name, _ in [ - extract_model_name_and_subgraph_idx(subgraph_path) - ] - ] + next_pass_incorrect_models = sorted(get_incorrect_models(tolerance, log_path)) + num_original_models = count_unique_original_models(next_pass_incorrect_models) + decompose_config.update_running_states( + current_pass_id + 1, + num_incorrect_models=num_original_models, + incorrect_models=list(next_pass_incorrect_models), ) - - running_states[f"pass_{current_pass_id + 1}"] = { - "num_incorrect_models": len(original_model_paths), - "incorrect_models": list(next_round_models), - } - print( - f"[Analysis] Found {len(next_round_models)} incorrect subgraphs ({len(original_model_paths)} original models)." + f"[Analysis] Found {len(next_pass_incorrect_models)} incorrect subgraphs ({num_original_models} original models)." ) - for idx, model_path in enumerate(next_round_models): + for idx, model_path in enumerate(next_pass_incorrect_models): print(f"- [{idx}] {model_path}") - - print_summary_and_suggestion(next_round_models, max_subgraph_size) + print_summary_and_suggestion(next_pass_incorrect_models, max_subgraph_size) # --- Step 5: Save States --- - config = DecomposeConfig( - max_subgraph_size=max_subgraph_size, - incorrect_models=list(next_round_models), - tasks_map=tasks_map, - running_states=running_states, - ) - config.save(pass_work_dir) + decompose_config.incorrect_models = list(next_pass_incorrect_models) + decompose_config.save(work_dir) if __name__ == "__main__": From 2b9994194fc02e3a2c88b5b12894cd93e774f77d Mon Sep 17 00:00:00 2001 From: Liu Yiqun Date: Tue, 9 Dec 2025 14:02:53 +0800 Subject: [PATCH 11/15] Temporally support to save the random states. --- graph_net/paddle/random_util.py | 61 +++++++++++++++++++ graph_net/paddle/run_model.py | 36 +++++------ graph_net/paddle/test_compiler.py | 37 ++++++----- graph_net/paddle/test_reference_device.py | 20 +++--- graph_net/paddle/test_target_device.py | 19 +++--- .../subgraph_decompose_and_evaluation_step.py | 9 +-- 6 files changed, 125 insertions(+), 57 deletions(-) create mode 100644 graph_net/paddle/random_util.py diff --git a/graph_net/paddle/random_util.py b/graph_net/paddle/random_util.py new file mode 100644 index 000000000..1661dbf87 --- /dev/null +++ b/graph_net/paddle/random_util.py @@ -0,0 +1,61 @@ +import os +import pickle +import numpy as np +import random +import re +import paddle + +from graph_net.paddle import samples_util + + +def set_seed(random_seed): + paddle.seed(random_seed) + random.seed(random_seed) + np.random.seed(random_seed) + + +def _extract_model_name_for_original_sample(model_path): + fields = model_path.rstrip("/").split(os.sep) + pattern = r"^subgraph(_\d+)?$" + model_name = ( + f"{fields[-2]}_{fields[-1]}" if re.match(pattern, fields[-1]) else fields[-1] + ) + return model_name + + +def _extract_model_name_for_decomposed_subgraph(model_path): + # Parse model name and subgraph index + model_name_with_subgraph_idx = model_path.rstrip("/").split(os.sep)[-1] + model_name = "_".join(model_name_with_subgraph_idx.split("_")[:-1]) + return model_name + + +def _generate_random_state_filename(model_path): + samples_dir = samples_util.get_default_samples_directory() + if os.path.abspath(model_path).startswith(samples_dir): + model_name = _extract_model_name_for_original_sample(model_path) + else: + model_name = _extract_model_name_for_decomposed_subgraph(model_path) + return f"{model_name}.random_states.pkl" + + +def save_random_states(model_path, output_dir, random_state_dict): + filepath = os.path.join(output_dir, _generate_random_state_filename(model_path)) + print(f"Write to {filepath}.", flush=True) + try: + with open(filepath, "wb") as f: + pickle.dump(random_state_dict, f) + except Exception: + print(f"Fail to open {filepath}.") + + +def load_random_states(model_path, output_dir): + filepath = os.path.join(output_dir, _generate_random_state_filename(model_path)) + print(f"Read from {filepath}.", flush=True) + random_states = None + try: + with open(filepath, "rb") as f: + random_states = pickle.load(f) + except Exception: + print(f"Fail to open {filepath}.") + return random_states diff --git a/graph_net/paddle/run_model.py b/graph_net/paddle/run_model.py index fb4bfb52e..1f199d39d 100644 --- a/graph_net/paddle/run_model.py +++ b/graph_net/paddle/run_model.py @@ -3,19 +3,12 @@ import base64 import argparse import numpy as np -import random os.environ["FLAGS_logging_pir_py_code_dir"] = "/tmp/dump" import paddle from graph_net import imp_util -from graph_net.paddle import utils - - -def set_seed(random_seed): - paddle.seed(random_seed) - random.seed(random_seed) - np.random.seed(random_seed) +from graph_net.paddle import utils, random_util def load_class_from_file(file_path: str, class_name: str): @@ -31,13 +24,20 @@ def get_input_dict(model_path): params = inputs_params["weight_info"] inputs = inputs_params["input_info"] - state_dict = {} - for k, v in params.items(): - name = v["original_name"] if v.get("original_name", None) else k - state_dict[k] = paddle.nn.parameter.Parameter(utils.replay_tensor(v), name=name) - for k, v in inputs.items(): - state_dict[k] = utils.replay_tensor(v) - return state_dict + random_state_dict = {} + input_dict = {} + for name, meta in params.items(): + original_name = ( + meta["original_name"] if meta.get("original_name", None) else name + ) + random_state_dict[name] = np.random.get_state() + input_dict[name] = paddle.nn.parameter.Parameter( + utils.replay_tensor(meta), name=original_name + ) + for name, meta in inputs.items(): + random_state_dict[name] = np.random.get_state() + input_dict[name] = utils.replay_tensor(meta) + return input_dict, random_state_dict def _convert_to_dict(config_str): @@ -71,9 +71,11 @@ def main(args): print(f"{model_path=}") initalize_seed = 123 - set_seed(random_seed=initalize_seed) + random_util.set_seed(random_seed=initalize_seed) - input_dict = get_input_dict(args.model_path) + input_dict, random_state_dict = get_input_dict(args.model_path) + output_dir = "/work/GraphNet/graph_net/test/outputs/pass_0" + random_util.save_random_states(model_path, output_dir, random_state_dict) model = _get_decorator(args)(model) model(**input_dict) diff --git a/graph_net/paddle/test_compiler.py b/graph_net/paddle/test_compiler.py index 728e08bef..782771383 100644 --- a/graph_net/paddle/test_compiler.py +++ b/graph_net/paddle/test_compiler.py @@ -4,21 +4,15 @@ from pathlib import Path import sys import os -from dataclasses import dataclass -from contextlib import contextmanager -import time -import math import numpy as np -import random import platform import traceback import subprocess import re -from graph_net.paddle import utils from graph_net import path_utils from graph_net import test_compiler_util - +from graph_net.paddle import utils, random_util from graph_net.paddle.backend.graph_compiler_backend import GraphCompilerBackend from graph_net.paddle.backend.cinn_backend import CinnBackend from graph_net.paddle.backend.nope_backend import NopeBackend @@ -35,12 +29,6 @@ def get_compiler_backend(args) -> GraphCompilerBackend: return registry_backend[args.compiler] -def set_seed(random_seed): - paddle.seed(random_seed) - random.seed(random_seed) - np.random.seed(random_seed) - - def init_env(args): if test_compiler_util.is_gpu_device(args.device): paddle.set_flags({"FLAGS_cudnn_exhaustive_search": 1}) @@ -62,7 +50,7 @@ def get_hardward_name(args): ) ) ) - except Exception as e: + except Exception: pass elif args.device == "cpu": hardware = platform.processor() @@ -100,14 +88,25 @@ def get_model(model_path): return model_class() -def get_input_dict(model_path): +def get_input_dict(model_path, random_states_path=None): inputs_params = utils.load_converted_from_text(f"{model_path}") params = inputs_params["weight_info"] inputs = inputs_params["input_info"] - params.update(inputs) - state_dict = {k: utils.replay_tensor(v) for k, v in params.items()} - return state_dict + + random_states = ( + random_util.load_random_states(model_path, random_states_path) + if random_states_path + else None + ) + + input_dict = {} + for name, meta in params.items(): + if random_states is not None and random_states.get(name, None) is not None: + np.random.set_state(random_states[name]) + tensor = utils.replay_tensor(meta) + input_dict[name] = tensor + return input_dict def get_input_spec(model_path): @@ -476,7 +475,7 @@ def main(args): assert args.device in ["cuda", "dcu", "xpu", "cpu"] initalize_seed = 123 - set_seed(random_seed=initalize_seed) + random_util.set_seed(random_seed=initalize_seed) if path_utils.is_single_model_dir(args.model_path): test_single_model(args) diff --git a/graph_net/paddle/test_reference_device.py b/graph_net/paddle/test_reference_device.py index 6e8e9e88e..c29f8ac38 100644 --- a/graph_net/paddle/test_reference_device.py +++ b/graph_net/paddle/test_reference_device.py @@ -1,20 +1,15 @@ import argparse -import importlib.util import paddle -import time -import numpy as np -import random import os from pathlib import Path from contextlib import redirect_stdout, redirect_stderr import json -import re import sys import traceback from graph_net import path_utils from graph_net import test_compiler_util -from graph_net.paddle import test_compiler +from graph_net.paddle import random_util, test_compiler def get_reference_log_path(reference_dir, model_path): @@ -38,7 +33,9 @@ def test_single_model(args): compiler = test_compiler.get_compiler_backend(args) test_compiler.check_and_print_gpu_utilization(compiler) - input_dict = test_compiler.get_input_dict(args.model_path) + input_dict = test_compiler.get_input_dict( + args.model_path, args.random_states_path + ) model = test_compiler.get_model(args.model_path) model.eval() @@ -107,6 +104,7 @@ def test_multi_models(args): f"--trials {args.trials}", f"--log-prompt {args.log_prompt}", f"--seed {args.seed}", + f"--random-states-path {args.random_states_path}", f"--reference-dir {args.reference_dir}", ] ) @@ -130,7 +128,7 @@ def main(args): assert args.compiler in {"cinn", "nope"} assert args.device in ["cuda"] - test_compiler.set_seed(random_seed=args.seed) + random_util.set_seed(random_seed=args.seed) test_compiler.init_env(args) ref_dump_dir = Path(args.reference_dir) @@ -191,6 +189,12 @@ def main(args): default=123, help="Random seed (default: 123)", ) + parser.add_argument( + "--random-states-path", + type=str, + required=False, + help="Path to random-states of model (s)", + ) parser.add_argument( "--reference-dir", type=str, diff --git a/graph_net/paddle/test_target_device.py b/graph_net/paddle/test_target_device.py index 6891e8e01..8e9bda12e 100644 --- a/graph_net/paddle/test_target_device.py +++ b/graph_net/paddle/test_target_device.py @@ -1,19 +1,13 @@ import argparse -import importlib.util -import time -import numpy as np -import random import os -from pathlib import Path import json -import re import sys import traceback import paddle from graph_net import path_utils from graph_net import test_compiler_util -from graph_net.paddle import test_compiler, test_reference_device +from graph_net.paddle import random_util, test_compiler, test_reference_device def parse_config_from_reference_log(log_path): @@ -59,7 +53,7 @@ def update_args_and_set_seed(args, model_path): vars(args)["compiler"] = config.get("compiler") vars(args)["trials"] = int(config.get("trials")) vars(args)["warmup"] = int(config.get("warmup")) - test_compiler.set_seed(random_seed=int(config.get("seed"))) + random_util.set_seed(random_seed=int(config.get("seed"))) return args @@ -67,7 +61,7 @@ def test_single_model(args): compiler = test_compiler.get_compiler_backend(args) test_compiler.check_and_print_gpu_utilization(compiler) - input_dict = test_compiler.get_input_dict(args.model_path) + input_dict = test_compiler.get_input_dict(args.model_path, args.random_states_path) model = test_compiler.get_model(args.model_path) model.eval() @@ -146,6 +140,7 @@ def test_multi_models(args): f"--device {args.device}", f"--log-prompt {args.log_prompt}", f"--reference-dir {args.reference_dir}", + f"--random-states-path {args.random_states_path}", ] ) cmd_ret = os.system(cmd) @@ -211,5 +206,11 @@ def main(args): default=None, help="Path to samples list, each line contains a sample path", ) + parser.add_argument( + "--random-states-path", + type=str, + required=False, + help="Path to random-states of model (s)", + ) args = parser.parse_args() main(args=args) diff --git a/graph_net/subgraph_decompose_and_evaluation_step.py b/graph_net/subgraph_decompose_and_evaluation_step.py index 595682cae..4fb219c39 100755 --- a/graph_net/subgraph_decompose_and_evaluation_step.py +++ b/graph_net/subgraph_decompose_and_evaluation_step.py @@ -262,18 +262,19 @@ def run_decomposer_for_multi_models( def run_evaluation( - framework: str, test_cmd_b64: str, samples_dir: str, log_path: str + framework: str, test_cmd_b64: str, work_dir: str, log_path: str ) -> int: """Executes the test command on the batch directory.""" test_config = convert_b64_string_to_json(test_cmd_b64) test_module_name = test_config["test_module_name"] test_module_arguments = test_config[f"{test_module_name}_arguments"] - test_module_arguments["model-path"] = samples_dir + test_module_arguments["model-path"] = work_dir if test_module_name in ["test_reference_device", "test_target_device"]: test_module_arguments["reference-dir"] = os.path.join( - samples_dir, "reference_device_outputs" + work_dir, "reference_device_outputs" ) + test_module_arguments["random-states-path"] = work_dir cmd = [sys.executable, "-m", f"graph_net.{framework}.{test_module_name}"] + [ item @@ -289,7 +290,7 @@ def run_evaluation( result = subprocess.run(cmd, stdout=f, stderr=f, text=True) assert ( result.returncode == 0 - ), f"[ERROR] test failed for {samples_dir}, please check the log." + ), f"[ERROR] test failed for {work_dir}, please check the log." def reconstruct_subgraph_size(split_positions: List[int]) -> List[list]: From d310856fb294103f5dfd4a1931c67b3e1b359ccd Mon Sep 17 00:00:00 2001 From: Liu Yiqun Date: Tue, 9 Dec 2025 16:30:32 +0800 Subject: [PATCH 12/15] Change the initialization method of tensor back to truncated normal. --- graph_net/paddle/utils.py | 15 ++++++++++----- 1 file changed, 10 insertions(+), 5 deletions(-) diff --git a/graph_net/paddle/utils.py b/graph_net/paddle/utils.py index d6010fe2e..afd6af940 100644 --- a/graph_net/paddle/utils.py +++ b/graph_net/paddle/utils.py @@ -2,6 +2,7 @@ import ast import math import numpy as np +from scipy.stats import truncnorm import paddle kLiteralTensorSize = 64 @@ -197,17 +198,21 @@ def init_integer_tensor(dtype, shape, min_val, max_val, use_numpy): def init_float_tensor(shape, mean, std, min_val, max_val, use_numpy): tensor = None if use_numpy: - if mean is not None and std is not None: + if mean is not None and std is not None and std != 0.0: # NumPy does not support truncated normal, we simulate it here. - array = np.random.normal(0, 1, shape) * std * 0.2 + mean - array = np.clip(array, min_val, max_val) + a = (min_val - mean) / std + b = (max_val - mean) / std + array = truncnorm.rvs(a, b, loc=mean, scale=std, size=shape) else: array = np.random.uniform(low=min_val, high=max_val, size=shape) tensor = paddle.to_tensor(array) else: if mean is not None and std is not None: - tensor = paddle.randn(shape, dtype="float32") * std * 0.2 + mean - tensor = paddle.clip(tensor, min=min_val, max=max_val) + tensor = paddle.empty(shape=shape, dtype="float32") + initializer = paddle.nn.initializer.TruncatedNormal( + mean=mean, std=std, a=min_val, b=max_val + ) + initializer(tensor) else: tensor = paddle.uniform( shape=shape, dtype="float32", min=min_val, max=max_val From d7c91a265923c3c195a485099cbb2228f4b6e296 Mon Sep 17 00:00:00 2001 From: Liu Yiqun Date: Wed, 10 Dec 2025 11:25:58 +0800 Subject: [PATCH 13/15] Opimize codes. --- .../subgraph_decompose_and_evaluation_step.py | 55 +++++++------------ 1 file changed, 20 insertions(+), 35 deletions(-) diff --git a/graph_net/subgraph_decompose_and_evaluation_step.py b/graph_net/subgraph_decompose_and_evaluation_step.py index 5a45d20d2..56bd7282e 100755 --- a/graph_net/subgraph_decompose_and_evaluation_step.py +++ b/graph_net/subgraph_decompose_and_evaluation_step.py @@ -279,27 +279,18 @@ def run_evaluation( ), f"[ERROR] test failed for {samples_dir}, please check the log." -def reconstruct_subgraph_size(split_positions: List[int]) -> List[list]: - """Reconstructs subgraph size based on sorted split positions.""" - deduplicated_splits = sorted(set(split_positions)) - - subgraph_size = [ - deduplicated_splits[i : i + 2] for i in range(len(deduplicated_splits) - 1) - ] - return subgraph_size - - -def calculate_split_positions_for_subgraph(subgraph_range, max_subgraph_size): - assert isinstance(subgraph_range, (list, tuple)) and len(subgraph_range) == 2 - - # subgraph_size: the start and end position in original model. - start_pos, end_pos = subgraph_range - end_pos = kMaxGraphSize if end_pos == float("inf") else end_pos +def reconstruct_split_positions_for_subgraph( + split_positions, subgraph_idx, max_subgraph_size +): + assert ( + subgraph_idx < len(split_positions) - 1 + ), f"subgraph_idx {subgraph_idx} is out of bounds of split_positions: {split_positions}." - split_positions = set( + start_pos, end_pos = split_positions[subgraph_idx : subgraph_idx + 2] + new_split_positions = set( range(start_pos, end_pos + max_subgraph_size - 1, max_subgraph_size) ) - return sorted(list(set(split_positions))) + return sorted(list(new_split_positions)) def generate_initial_tasks(args): @@ -310,17 +301,14 @@ def generate_initial_tasks(args): tasks_map = {} max_subgraph_size = args.max_subgraph_size + initial_split_positions = reconstruct_split_positions_for_subgraph( + [0, kMaxGraphSize], 0, max_subgraph_size + ) for model_path in initial_failures: model_name = get_model_name_with_subgraph_tag(model_path) - - initial_range = [0, kMaxGraphSize] - initial_splits = calculate_split_positions_for_subgraph( - initial_range, max_subgraph_size - ) - tasks_map[model_name] = { "original_path": model_path, - "split_positions": initial_splits, + "split_positions": initial_split_positions, } running_states = { @@ -355,19 +343,14 @@ def generate_successor_tasks(base_output_dir, current_pass_id): for subgraph_path in sorted(prev_config.incorrect_models): model_name, subgraph_idx = extract_model_name_and_subgraph_idx(subgraph_path) + print(f"{subgraph_path=}") assert model_name in prev_tasks_map pre_task_for_model = prev_tasks_map[model_name] prev_split_positions = pre_task_for_model.get("split_positions", []) - subgraph_ranges = reconstruct_subgraph_size(prev_split_positions) - - assert subgraph_idx < len( - subgraph_ranges - ), f"subgraph_idx {subgraph_idx} is out of bounds for {model_name} (previous split_positions: {prev_split_positions})" - - split_positions = calculate_split_positions_for_subgraph( - subgraph_ranges[subgraph_idx], max_subgraph_size + split_positions = reconstruct_split_positions_for_subgraph( + prev_split_positions, subgraph_idx, max_subgraph_size ) if model_name not in tasks_map: tasks_map[model_name] = { @@ -381,6 +364,7 @@ def generate_successor_tasks(base_output_dir, current_pass_id): tasks_map[model_name]["split_positions"] = list( sorted(set(merged_split_positions)) ) + print(f"{tasks_map=}") return tasks_map, max_subgraph_size, prev_config.running_states @@ -409,6 +393,7 @@ def prepare_tasks_and_verify(args, current_pass_id, base_output_dir): ) sys.exit(0) + sys.exit(0) return tasks_map, max_subgraph_size, running_states @@ -450,8 +435,8 @@ def execute_decomposition_phase(max_subgraph_size, tasks_map, framework, workspa split_positions = task_info["split_positions"] if not split_positions or len(split_positions) < 2: continue - new_split_positions = calculate_split_positions_for_subgraph( - split_positions[0:2], max_subgraph_size + new_split_positions = reconstruct_split_positions_for_subgraph( + split_positions, 0, max_subgraph_size ) task_info["split_positions"] = new_split_positions else: From 00b070d4d702a0dffd88eaf26fff56604075be8a Mon Sep 17 00:00:00 2001 From: Liu Yiqun Date: Wed, 10 Dec 2025 14:48:34 +0800 Subject: [PATCH 14/15] Support fixed-start method. --- .../subgraph_decompose_and_evaluation_step.py | 94 ++++++++++++------- 1 file changed, 61 insertions(+), 33 deletions(-) diff --git a/graph_net/subgraph_decompose_and_evaluation_step.py b/graph_net/subgraph_decompose_and_evaluation_step.py index 56bd7282e..9689d9615 100755 --- a/graph_net/subgraph_decompose_and_evaluation_step.py +++ b/graph_net/subgraph_decompose_and_evaluation_step.py @@ -231,6 +231,12 @@ def run_decomposer_for_multi_models( original_path = task_info["original_path"] split_positions = sorted(list(task_info["split_positions"])) + + method = "fixed-start" + if method == "fixed-start": + assert len(split_positions) >= 3, f"{split_positions=}" + split_positions = [0, split_positions[1]] + rectified_model_path = get_rectfied_model_path(original_path) assert os.path.exists( rectified_model_path @@ -279,18 +285,22 @@ def run_evaluation( ), f"[ERROR] test failed for {samples_dir}, please check the log." -def reconstruct_split_positions_for_subgraph( - split_positions, subgraph_idx, max_subgraph_size +def reconstruct_split_positions_for_subgraphs( + split_positions, subgraph_idxs, max_subgraph_size ): - assert ( - subgraph_idx < len(split_positions) - 1 - ), f"subgraph_idx {subgraph_idx} is out of bounds of split_positions: {split_positions}." + subgraph_idxs = [subgraph_idxs] if isinstance(subgraph_idxs, int) else subgraph_idxs - start_pos, end_pos = split_positions[subgraph_idx : subgraph_idx + 2] - new_split_positions = set( - range(start_pos, end_pos + max_subgraph_size - 1, max_subgraph_size) - ) - return sorted(list(new_split_positions)) + new_split_positions = [] + for subgraph_idx in subgraph_idxs: + assert ( + subgraph_idx < len(split_positions) - 1 + ), f"subgraph_idx {subgraph_idx} is out of bounds of split_positions: {split_positions}." + + start_pos, end_pos = split_positions[subgraph_idx : subgraph_idx + 2] + new_split_positions = new_split_positions + list( + range(start_pos, end_pos + max_subgraph_size - 1, max_subgraph_size) + ) + return sorted(list(set(new_split_positions))) def generate_initial_tasks(args): @@ -299,9 +309,9 @@ def generate_initial_tasks(args): initial_failures = get_ranged_incorrect_models(args.tolerance, args.log_file) tasks_map = {} - max_subgraph_size = args.max_subgraph_size + max_subgraph_size = min(args.max_subgraph_size, kMaxGraphSize // 2) - initial_split_positions = reconstruct_split_positions_for_subgraph( + initial_split_positions = reconstruct_split_positions_for_subgraphs( [0, kMaxGraphSize], 0, max_subgraph_size ) for model_path in initial_failures: @@ -328,7 +338,29 @@ def extract_model_name_and_subgraph_idx(subgraph_path): return model_name, subgraph_idx -def generate_successor_tasks(base_output_dir, current_pass_id): +def collect_incorrect_subgraph_idxs(args, model_names, incorrect_models): + model_name2subgraph_idxs = {} + for subgraph_path in sorted(incorrect_models): + model_name, subgraph_idx = extract_model_name_and_subgraph_idx(subgraph_path) + print(f"{subgraph_path=}") + + if model_name not in model_name2subgraph_idxs: + model_name2subgraph_idxs[model_name] = [] + model_name2subgraph_idxs[model_name].append(subgraph_idx) + + if args.method == "fixed-start": + for model_name in model_names: + if model_name not in model_name2subgraph_idxs: + model_name2subgraph_idxs[model_name] = [1] + else: + assert ( + len(model_name2subgraph_idxs[model_name]) == 1 + and model_name2subgraph_idxs[model_name] == 0 + ) + return model_name2subgraph_idxs + + +def generate_successor_tasks(args, base_output_dir, current_pass_id): """Generates tasks for Pass > 0 based on previous pass results.""" prev_pass_dir = get_decompose_workspace_path(base_output_dir, current_pass_id - 1) print(f"[Init] Resuming from Pass_{current_pass_id - 1} (Dir: {prev_pass_dir})...") @@ -341,29 +373,23 @@ def generate_successor_tasks(base_output_dir, current_pass_id): tasks_map = {} prev_tasks_map = prev_config.tasks_map - for subgraph_path in sorted(prev_config.incorrect_models): - model_name, subgraph_idx = extract_model_name_and_subgraph_idx(subgraph_path) - print(f"{subgraph_path=}") + model_name2subgraph_idxs = collect_incorrect_subgraph_idxs( + args, list(prev_tasks_map.keys()), prev_config.incorrect_models + ) + for model_name, subgraph_idxs in model_name2subgraph_idxs.items(): assert model_name in prev_tasks_map pre_task_for_model = prev_tasks_map[model_name] prev_split_positions = pre_task_for_model.get("split_positions", []) - split_positions = reconstruct_split_positions_for_subgraph( - prev_split_positions, subgraph_idx, max_subgraph_size + split_positions = reconstruct_split_positions_for_subgraphs( + prev_split_positions, subgraph_idxs, max_subgraph_size ) - if model_name not in tasks_map: - tasks_map[model_name] = { - "original_path": pre_task_for_model["original_path"], - "split_positions": list(sorted(split_positions)), - } - else: - merged_split_positions = ( - tasks_map[model_name]["split_positions"] + split_positions - ) - tasks_map[model_name]["split_positions"] = list( - sorted(set(merged_split_positions)) - ) + + tasks_map[model_name] = { + "original_path": pre_task_for_model["original_path"], + "split_positions": split_positions, + } print(f"{tasks_map=}") return tasks_map, max_subgraph_size, prev_config.running_states @@ -374,7 +400,7 @@ def prepare_tasks_and_verify(args, current_pass_id, base_output_dir): tasks_map, max_subgraph_size, running_states = generate_initial_tasks(args) else: tasks_map, max_subgraph_size, running_states = generate_successor_tasks( - base_output_dir, current_pass_id + args, base_output_dir, current_pass_id ) print(f"[Init] initial max_subgraph_size: {max_subgraph_size}") @@ -393,7 +419,6 @@ def prepare_tasks_and_verify(args, current_pass_id, base_output_dir): ) sys.exit(0) - sys.exit(0) return tasks_map, max_subgraph_size, running_states @@ -402,6 +427,7 @@ def execute_decomposition_phase(max_subgraph_size, tasks_map, framework, workspa failed_decomposition = [] need_decompose = True if len(tasks_map) > 0 else False + method = "fixed-start" while need_decompose: decomposed_samples_dir = os.path.join( @@ -426,6 +452,7 @@ def execute_decomposition_phase(max_subgraph_size, tasks_map, framework, workspa not failed_decomposition and num_decomposed_samples == len(tasks_map) and max_subgraph_size > 1 + and method != "fixed-start" ): need_decompose = True shutil.rmtree(decomposed_samples_dir) @@ -435,7 +462,7 @@ def execute_decomposition_phase(max_subgraph_size, tasks_map, framework, workspa split_positions = task_info["split_positions"] if not split_positions or len(split_positions) < 2: continue - new_split_positions = reconstruct_split_positions_for_subgraph( + new_split_positions = reconstruct_split_positions_for_subgraphs( split_positions, 0, max_subgraph_size ) task_info["split_positions"] = new_split_positions @@ -550,6 +577,7 @@ def main(args): parser.add_argument( "--test-config", type=str, required=True, help="Base64 encoded test config" ) + parser.add_argument("--method", type=str, required=True) parser.add_argument( "--tolerance", type=int, From 7cfd4ebd63f7bcc1d4592c11d34e62390eb2f5a1 Mon Sep 17 00:00:00 2001 From: Liu Yiqun Date: Wed, 10 Dec 2025 14:48:34 +0800 Subject: [PATCH 15/15] Support fixed-start method. --- .../subgraph_decompose_and_evaluation_step.py | 122 ++++++++++++------ 1 file changed, 80 insertions(+), 42 deletions(-) diff --git a/graph_net/subgraph_decompose_and_evaluation_step.py b/graph_net/subgraph_decompose_and_evaluation_step.py index 56bd7282e..c296a6539 100755 --- a/graph_net/subgraph_decompose_and_evaluation_step.py +++ b/graph_net/subgraph_decompose_and_evaluation_step.py @@ -111,8 +111,9 @@ def _print(self): @dataclass class DecomposeConfig: + method: str + tolerance: int | List[int] max_subgraph_size: int = -1 - incorrect_models: List[str] = field(default_factory=list) tasks_map: Dict[str, Union[int, str, list, dict]] = field(default_factory=dict) running_states: Dict[str, Union[int, str, list, dict]] = field(default_factory=dict) @@ -139,6 +140,11 @@ def load(self, work_dir): def get_config_path(self, work_dir) -> str: return os.path.join(work_dir, "decompose_config.json") + def get_incorrect_models(self, pass_id): + pass_key = get_pass_name(pass_id) + assert pass_key in self.running_states + return self.running_states[pass_key]["incorrect_models"] + def update_running_states(self, pass_id, **kwargs): pass_key = get_pass_name(pass_id) if self.running_states.get(pass_key, None) is None: @@ -229,8 +235,13 @@ def run_decomposer_for_multi_models( ) for model_name, task_info in tasks_map.items(): original_path = task_info["original_path"] - split_positions = sorted(list(task_info["split_positions"])) + + method = "fixed-start" + if method == "fixed-start": + assert len(split_positions) >= 3, f"{split_positions=}" + split_positions = [0, split_positions[1]] + rectified_model_path = get_rectfied_model_path(original_path) assert os.path.exists( rectified_model_path @@ -279,18 +290,22 @@ def run_evaluation( ), f"[ERROR] test failed for {samples_dir}, please check the log." -def reconstruct_split_positions_for_subgraph( - split_positions, subgraph_idx, max_subgraph_size +def reconstruct_split_positions_for_subgraphs( + split_positions, subgraph_idxs, max_subgraph_size ): - assert ( - subgraph_idx < len(split_positions) - 1 - ), f"subgraph_idx {subgraph_idx} is out of bounds of split_positions: {split_positions}." + subgraph_idxs = [subgraph_idxs] if isinstance(subgraph_idxs, int) else subgraph_idxs - start_pos, end_pos = split_positions[subgraph_idx : subgraph_idx + 2] - new_split_positions = set( - range(start_pos, end_pos + max_subgraph_size - 1, max_subgraph_size) - ) - return sorted(list(new_split_positions)) + new_split_positions = [] + for subgraph_idx in subgraph_idxs: + assert ( + subgraph_idx < len(split_positions) - 1 + ), f"subgraph_idx {subgraph_idx} is out of bounds of split_positions: {split_positions}." + + start_pos, end_pos = split_positions[subgraph_idx : subgraph_idx + 2] + new_split_positions = new_split_positions + list( + range(start_pos, end_pos + max_subgraph_size, max_subgraph_size) + ) + return sorted(list(set(new_split_positions))) def generate_initial_tasks(args): @@ -299,9 +314,9 @@ def generate_initial_tasks(args): initial_failures = get_ranged_incorrect_models(args.tolerance, args.log_file) tasks_map = {} - max_subgraph_size = args.max_subgraph_size + max_subgraph_size = min(args.max_subgraph_size, kMaxGraphSize // 2) - initial_split_positions = reconstruct_split_positions_for_subgraph( + initial_split_positions = reconstruct_split_positions_for_subgraphs( [0, kMaxGraphSize], 0, max_subgraph_size ) for model_path in initial_failures: @@ -328,42 +343,61 @@ def extract_model_name_and_subgraph_idx(subgraph_path): return model_name, subgraph_idx -def generate_successor_tasks(base_output_dir, current_pass_id): +def collect_incorrect_subgraph_idxs(args, target_model_names, incorrect_models): + model_name2subgraph_idxs = {} + for subgraph_path in sorted(incorrect_models): + model_name, subgraph_idx = extract_model_name_and_subgraph_idx(subgraph_path) + print(f"{subgraph_path=}") + print(f"{model_name=}, {subgraph_idx=}") + assert model_name in target_model_names, f"{model_name=}, {subgraph_idx=}" + + if model_name not in model_name2subgraph_idxs: + model_name2subgraph_idxs[model_name] = [] + model_name2subgraph_idxs[model_name].append(subgraph_idx) + + if args.method == "fixed-start": + print(model_name2subgraph_idxs) + for model_name in target_model_names: + if model_name not in model_name2subgraph_idxs: + model_name2subgraph_idxs[model_name] = [1] + else: + assert len( + model_name2subgraph_idxs[model_name] + ) == 1 and model_name2subgraph_idxs[model_name] == [0] + return model_name2subgraph_idxs + + +def generate_successor_tasks(args, base_output_dir, current_pass_id): """Generates tasks for Pass > 0 based on previous pass results.""" prev_pass_dir = get_decompose_workspace_path(base_output_dir, current_pass_id - 1) print(f"[Init] Resuming from Pass_{current_pass_id - 1} (Dir: {prev_pass_dir})...") prev_config = DecomposeConfig.load(prev_pass_dir) max_subgraph_size = prev_config.max_subgraph_size // 2 - if not prev_config.incorrect_models: + incorrect_models = prev_config.get_incorrect_models(current_pass_id) + if args.method != "fixed-start" and not incorrect_models: return {}, max_subgraph_size, prev_config.running_states tasks_map = {} prev_tasks_map = prev_config.tasks_map - for subgraph_path in sorted(prev_config.incorrect_models): - model_name, subgraph_idx = extract_model_name_and_subgraph_idx(subgraph_path) - print(f"{subgraph_path=}") + target_model_names = list(prev_tasks_map.keys()) + model_name2subgraph_idxs = collect_incorrect_subgraph_idxs( + args, target_model_names, incorrect_models + ) - assert model_name in prev_tasks_map + for model_name, subgraph_idxs in model_name2subgraph_idxs.items(): pre_task_for_model = prev_tasks_map[model_name] prev_split_positions = pre_task_for_model.get("split_positions", []) - split_positions = reconstruct_split_positions_for_subgraph( - prev_split_positions, subgraph_idx, max_subgraph_size + split_positions = reconstruct_split_positions_for_subgraphs( + prev_split_positions, subgraph_idxs, max_subgraph_size ) - if model_name not in tasks_map: - tasks_map[model_name] = { - "original_path": pre_task_for_model["original_path"], - "split_positions": list(sorted(split_positions)), - } - else: - merged_split_positions = ( - tasks_map[model_name]["split_positions"] + split_positions - ) - tasks_map[model_name]["split_positions"] = list( - sorted(set(merged_split_positions)) - ) + + tasks_map[model_name] = { + "original_path": pre_task_for_model["original_path"], + "split_positions": split_positions, + } print(f"{tasks_map=}") return tasks_map, max_subgraph_size, prev_config.running_states @@ -374,7 +408,7 @@ def prepare_tasks_and_verify(args, current_pass_id, base_output_dir): tasks_map, max_subgraph_size, running_states = generate_initial_tasks(args) else: tasks_map, max_subgraph_size, running_states = generate_successor_tasks( - base_output_dir, current_pass_id + args, base_output_dir, current_pass_id ) print(f"[Init] initial max_subgraph_size: {max_subgraph_size}") @@ -393,7 +427,6 @@ def prepare_tasks_and_verify(args, current_pass_id, base_output_dir): ) sys.exit(0) - sys.exit(0) return tasks_map, max_subgraph_size, running_states @@ -402,6 +435,7 @@ def execute_decomposition_phase(max_subgraph_size, tasks_map, framework, workspa failed_decomposition = [] need_decompose = True if len(tasks_map) > 0 else False + method = "fixed-start" while need_decompose: decomposed_samples_dir = os.path.join( @@ -426,6 +460,7 @@ def execute_decomposition_phase(max_subgraph_size, tasks_map, framework, workspa not failed_decomposition and num_decomposed_samples == len(tasks_map) and max_subgraph_size > 1 + and method != "fixed-start" ): need_decompose = True shutil.rmtree(decomposed_samples_dir) @@ -435,7 +470,7 @@ def execute_decomposition_phase(max_subgraph_size, tasks_map, framework, workspa split_positions = task_info["split_positions"] if not split_positions or len(split_positions) < 2: continue - new_split_positions = reconstruct_split_positions_for_subgraph( + new_split_positions = reconstruct_split_positions_for_subgraphs( split_positions, 0, max_subgraph_size ) task_info["split_positions"] = new_split_positions @@ -458,8 +493,7 @@ def count_unique_original_models(incorrect_models): return len(original_model_paths) -def print_summary_and_suggestion(next_round_models, max_subgraph_size): - """Print suggestion/result.""" +def print_summary_and_suggestion(args, next_round_models, max_subgraph_size): print("\n" + "=" * 80) if next_round_models and max_subgraph_size > 1: print(f">>> [SUGGESTION] Issues remain (Count: {len(next_round_models)}).") @@ -485,6 +519,8 @@ def main(args): args, current_pass_id, base_output_dir ) decompose_config = DecomposeConfig( + method=args.method, + tolerance=args.tolerance, max_subgraph_size=max_subgraph_size, tasks_map=tasks_map, running_states=running_states, @@ -517,7 +553,6 @@ def main(args): run_evaluation(args.framework, args.test_config, work_dir, log_path) # --- Step 4: Analysis --- - next_pass_incorrect_models = set() if task_controller.task_scheduler["post_analysis"]: tolerance = ( args.tolerance[0] if isinstance(args.tolerance, list) else args.tolerance @@ -530,15 +565,17 @@ def main(args): num_incorrect_models=num_original_models, incorrect_models=list(next_pass_incorrect_models), ) + print( f"[Analysis] Found {len(next_pass_incorrect_models)} incorrect subgraphs ({num_original_models} original models)." ) for idx, model_path in enumerate(next_pass_incorrect_models): print(f"- [{idx}] {model_path}") - print_summary_and_suggestion(next_pass_incorrect_models, max_subgraph_size) + print_summary_and_suggestion( + args, next_pass_incorrect_models, max_subgraph_size + ) # --- Step 5: Save States --- - decompose_config.incorrect_models = list(next_pass_incorrect_models) decompose_config.save(work_dir) @@ -550,6 +587,7 @@ def main(args): parser.add_argument( "--test-config", type=str, required=True, help="Base64 encoded test config" ) + parser.add_argument("--method", type=str, required=True) parser.add_argument( "--tolerance", type=int,