could not find plugin ScatterND #21
Description
Hi。I can run your tensorrt code sucessfully following your README in tensorrt/samples.
But I cannot get scatterND plugin when I using your code out of the root of tensorrt :
`
Doc string:
input.name():input.1
input.name():indices_input
[01/29/2018-00:52:33] [W] [TRT] /home/ubuntu/work/onnx-tensorrt-v7.0/onnx2trt_utils.cpp:220: Your ONNX model has been generated with INT64 weights, while TensorRT does not natively support INT64. Attempting to cast down to INT32.
[01/29/2018-00:52:33] [I] [TRT] /home/ubuntu/work/onnx-tensorrt-v7.0/ModelImporter.cpp:107: Parsing node: pfe_MatMul_0 [Conv]
[01/29/2018-00:52:33] [I] [TRT] /home/ubuntu/work/onnx-tensorrt-v7.0/ModelImporter.cpp:129: pfe_MatMul_0 [Conv] inputs: [input.1 -> (1, 10, 30000, 20)], [48 -> (32, 10, 1, 1)],
[01/29/2018-00:52:33] [I] [TRT] /home/ubuntu/work/onnx-tensorrt-v7.0/ModelImporter.cpp:183: pfe_MatMul_0 [Conv] outputs: [16 -> (1, 32, 30000, 20)],
[01/29/2018-00:52:33] [I] [TRT] /home/ubuntu/work/onnx-tensorrt-v7.0/ModelImporter.cpp:107: Parsing node: pfe_BatchNormalization_2 [BatchNormalization]
[01/29/2018-00:52:33] [I] [TRT] /home/ubuntu/work/onnx-tensorrt-v7.0/ModelImporter.cpp:129: pfe_BatchNormalization_2 [BatchNormalization] inputs: [16 -> (1, 32, 30000, 20)], [pfn_layers.0.norm.weight -> (32)], [pfn_layers.0.norm.bias -> (32)], [pfn_layers.0.norm.running_mean -> (32)], [pfn_layers.0.norm.running_var -> (32)],
[01/29/2018-00:52:33] [I] [TRT] /home/ubuntu/work/onnx-tensorrt-v7.0/ModelImporter.cpp:183: pfe_BatchNormalization_2 [BatchNormalization] outputs: [18 -> (1, 32, 30000, 20)],
[01/29/2018-00:52:33] [I] [TRT] /home/ubuntu/work/onnx-tensorrt-v7.0/ModelImporter.cpp:107: Parsing node: pfe_Relu_4 [Relu]
[01/29/2018-00:52:33] [I] [TRT] /home/ubuntu/work/onnx-tensorrt-v7.0/ModelImporter.cpp:129: pfe_Relu_4 [Relu] inputs: [18 -> (1, 32, 30000, 20)],
[01/29/2018-00:52:33] [I] [TRT] /home/ubuntu/work/onnx-tensorrt-v7.0/ModelImporter.cpp:183: pfe_Relu_4 [Relu] outputs: [20 -> (1, 32, 30000, 20)],
[01/29/2018-00:52:33] [I] [TRT] /home/ubuntu/work/onnx-tensorrt-v7.0/ModelImporter.cpp:107: Parsing node: pfe_ReduceMax_5 [MaxPool]
[01/29/2018-00:52:33] [I] [TRT] /home/ubuntu/work/onnx-tensorrt-v7.0/ModelImporter.cpp:129: pfe_ReduceMax_5 [MaxPool] inputs: [20 -> (1, 32, 30000, 20)],
[01/29/2018-00:52:33] [I] [TRT] /home/ubuntu/work/onnx-tensorrt-v7.0/ModelImporter.cpp:183: pfe_ReduceMax_5 [MaxPool] outputs: [21 -> (1, 32, 30000, 1)],
[01/29/2018-00:52:33] [I] [TRT] /home/ubuntu/work/onnx-tensorrt-v7.0/ModelImporter.cpp:107: Parsing node: pfe_Tile_16 [Tile]
[01/29/2018-00:52:33] [I] [TRT] /home/ubuntu/work/onnx-tensorrt-v7.0/ModelImporter.cpp:129: pfe_Tile_16 [Tile] inputs: [21 -> (1, 32, 30000, 1)], [34 -> (4)],
[01/29/2018-00:52:33] [I] [TRT] /home/ubuntu/work/onnx-tensorrt-v7.0/ModelImporter.cpp:183: pfe_Tile_16 [Tile] outputs: [38 -> (1, 32, 30000, 20)],
[01/29/2018-00:52:33] [I] [TRT] /home/ubuntu/work/onnx-tensorrt-v7.0/ModelImporter.cpp:107: Parsing node: pfe_Concat_17 [Concat]
[01/29/2018-00:52:33] [I] [TRT] /home/ubuntu/work/onnx-tensorrt-v7.0/ModelImporter.cpp:129: pfe_Concat_17 [Concat] inputs: [20 -> (1, 32, 30000, 20)], [38 -> (1, 32, 30000, 20)],
[01/29/2018-00:52:33] [I] [TRT] /home/ubuntu/work/onnx-tensorrt-v7.0/ModelImporter.cpp:183: pfe_Concat_17 [Concat] outputs: [39 -> (1, 64, 30000, 20)],
[01/29/2018-00:52:33] [I] [TRT] /home/ubuntu/work/onnx-tensorrt-v7.0/ModelImporter.cpp:107: Parsing node: pfe_MatMul_18 [Conv]
[01/29/2018-00:52:33] [I] [TRT] /home/ubuntu/work/onnx-tensorrt-v7.0/ModelImporter.cpp:129: pfe_MatMul_18 [Conv] inputs: [39 -> (1, 64, 30000, 20)], [53 -> (64, 64, 1, 1)],
[01/29/2018-00:52:33] [I] [TRT] /home/ubuntu/work/onnx-tensorrt-v7.0/ModelImporter.cpp:183: pfe_MatMul_18 [Conv] outputs: [41 -> (1, 64, 30000, 20)],
[01/29/2018-00:52:33] [I] [TRT] /home/ubuntu/work/onnx-tensorrt-v7.0/ModelImporter.cpp:107: Parsing node: pfe_BatchNormalization_20 [BatchNormalization]
[01/29/2018-00:52:33] [I] [TRT] /home/ubuntu/work/onnx-tensorrt-v7.0/ModelImporter.cpp:129: pfe_BatchNormalization_20 [BatchNormalization] inputs: [41 -> (1, 64, 30000, 20)], [pfn_layers.1.norm.weight -> (64)], [pfn_layers.1.norm.bias -> (64)], [pfn_layers.1.norm.running_mean -> (64)], [pfn_layers.1.norm.running_var -> (64)],
[01/29/2018-00:52:33] [I] [TRT] /home/ubuntu/work/onnx-tensorrt-v7.0/ModelImporter.cpp:183: pfe_BatchNormalization_20 [BatchNormalization] outputs: [43 -> (1, 64, 30000, 20)],
[01/29/2018-00:52:33] [I] [TRT] /home/ubuntu/work/onnx-tensorrt-v7.0/ModelImporter.cpp:107: Parsing node: pfe_Relu_22 [Relu]
[01/29/2018-00:52:33] [I] [TRT] /home/ubuntu/work/onnx-tensorrt-v7.0/ModelImporter.cpp:129: pfe_Relu_22 [Relu] inputs: [43 -> (1, 64, 30000, 20)],
[01/29/2018-00:52:33] [I] [TRT] /home/ubuntu/work/onnx-tensorrt-v7.0/ModelImporter.cpp:183: pfe_Relu_22 [Relu] outputs: [45 -> (1, 64, 30000, 20)],
[01/29/2018-00:52:33] [I] [TRT] /home/ubuntu/work/onnx-tensorrt-v7.0/ModelImporter.cpp:107: Parsing node: pfe_ReduceMax_23 [MaxPool]
[01/29/2018-00:52:33] [I] [TRT] /home/ubuntu/work/onnx-tensorrt-v7.0/ModelImporter.cpp:129: pfe_ReduceMax_23 [MaxPool] inputs: [45 -> (1, 64, 30000, 20)],
[01/29/2018-00:52:33] [I] [TRT] /home/ubuntu/work/onnx-tensorrt-v7.0/ModelImporter.cpp:183: pfe_ReduceMax_23 [MaxPool] outputs: [46 -> (1, 64, 30000, 1)],
[01/29/2018-00:52:33] [I] [TRT] /home/ubuntu/work/onnx-tensorrt-v7.0/ModelImporter.cpp:107: Parsing node: pfe_Squeeze_1 [Squeeze]
[01/29/2018-00:52:33] [I] [TRT] /home/ubuntu/work/onnx-tensorrt-v7.0/ModelImporter.cpp:129: pfe_Squeeze_1 [Squeeze] inputs: [46 -> (1, 64, 30000, 1)],
[01/29/2018-00:52:33] [I] [TRT] /home/ubuntu/work/onnx-tensorrt-v7.0/ModelImporter.cpp:183: pfe_Squeeze_1 [Squeeze] outputs: [pfe_squeeze_1 -> (1, 64, 30000)],
[01/29/2018-00:52:33] [I] [TRT] /home/ubuntu/work/onnx-tensorrt-v7.0/ModelImporter.cpp:107: Parsing node: pfe_Transpose_1 [Transpose]
[01/29/2018-00:52:33] [I] [TRT] /home/ubuntu/work/onnx-tensorrt-v7.0/ModelImporter.cpp:129: pfe_Transpose_1 [Transpose] inputs: [pfe_squeeze_1 -> (1, 64, 30000)],
[01/29/2018-00:52:33] [I] [TRT] /home/ubuntu/work/onnx-tensorrt-v7.0/ModelImporter.cpp:183: pfe_Transpose_1 [Transpose] outputs: [pfe_transpose_1 -> (1, 30000, 64)],
[01/29/2018-00:52:33] [I] [TRT] /home/ubuntu/work/onnx-tensorrt-v7.0/ModelImporter.cpp:107: Parsing node: ScatterND_1 [ScatterND]
[01/29/2018-00:52:33] [I] [TRT] /home/ubuntu/work/onnx-tensorrt-v7.0/ModelImporter.cpp:129: ScatterND_1 [ScatterND] inputs: [scatter_data -> (1, 262144, 64)], [indices_input -> (1, 30000, 2)], [pfe_transpose_1 -> (1, 30000, 64)],
[01/29/2018-00:52:33] [I] [TRT] /home/ubuntu/work/onnx-tensorrt-v7.0/ModelImporter.cpp:139: No importer registered for op: ScatterND. Attempting to import as plugin.
[01/29/2018-00:52:33] [I] [TRT] /home/ubuntu/work/onnx-tensorrt-v7.0/builtin_op_importers.cpp:3762: Searching for plugin: ScatterND, plugin_version: 1, plugin_namespace:
[01/29/2018-00:52:33] [E] [TRT] INVALID_ARGUMENT: getPluginCreator could not find plugin ScatterND version 1
While parsing node number 187 [ScatterND]:
ERROR: /home/ubuntu/work/onnx-tensorrt-v7.0/builtin_op_importers.cpp:3764 In function importFallbackPluginImporter:
[8] Assertion failed: creator && "Plugin not found, are the plugin name, version, and namespace correct?"
`
My environment is :
platform : jetson AGX xavier
cuda : 10.2
tensorrt: 7.x
can you give me some advance? thank you very much!!!