diff --git a/scripts/elfgames/go/console_lib.py b/scripts/elfgames/go/console_lib.py
index f461673d..dab26581 100644
--- a/scripts/elfgames/go/console_lib.py
+++ b/scripts/elfgames/go/console_lib.py
@@ -334,7 +334,7 @@ def check_player(self, batch, player):
             return True, None
 
     def print_msg(self, ret, msg):
-        print("\n%s %s\n\n" % (("=" if ret else "?"), msg))
+        print("%s %s\n" % (("=" if ret else "?"), msg))
 
     def prompt(self, prompt_str, batch):
         # Show last command results.
diff --git a/scripts/elfgames/go/df_console.py b/scripts/elfgames/go/df_console.py
index be65572c..7199e5f8 100644
--- a/scripts/elfgames/go/df_console.py
+++ b/scripts/elfgames/go/df_console.py
@@ -9,6 +9,8 @@
 import os
 import sys
 
+sys.path.append( os.path.expanduser('~/anaconda3/lib/python3.6/site-packages') )
+
 import torch
 
 from console_lib import GoConsoleGTP
@@ -16,10 +18,10 @@
 
 
 def main():
-   # print('Python version:', sys.version)
-   # print('PyTorch version:', torch.__version__)
-   # print('CUDA version', torch.version.cuda)
-   # print('Conda env:', os.environ.get("CONDA_DEFAULT_ENV", ""))
+    print('Python version:', sys.version, file=sys.stderr)
+    print('PyTorch version:', torch.__version__, file=sys.stderr)
+    print('CUDA version', torch.version.cuda, file=sys.stderr)
+    print('Conda env:', os.environ.get("CONDA_DEFAULT_ENV", ""), file=sys.stderr)
 
     additional_to_load = {
         'evaluator': (
diff --git a/src_py/elf/utils_elf.py b/src_py/elf/utils_elf.py
index c398c0ea..908b031a 100644
--- a/src_py/elf/utils_elf.py
+++ b/src_py/elf/utils_elf.py
@@ -34,7 +34,7 @@ def _alloc(p, gpu, use_numpy=True):
         type_name = p.field().type_name()
         sz = p.field().sz().vec()
 
-       # print(name, type_name, sz)
+        print(name, type_name, sz, file=sys.stderr)
 
         if not use_numpy:
             v = Allocator.torch_types[type_name](*sz)
@@ -63,7 +63,7 @@ def spec2batches(ctx, batchsize, spec, gpu, use_numpy=False, num_recv=1):
         idx2name = dict()
 
         for name, v in spec.items():
-           # print("%s: %s" % (name, v))
+            print("%s: %s" % (name, v), file=sys.stderr)
             # TODO this might not good since it changes the input.
             if "input" not in v or v["input"] is None:
                 v["input"] = []
@@ -74,7 +74,7 @@ def spec2batches(ctx, batchsize, spec, gpu, use_numpy=False, num_recv=1):
             this_batchsize = v.get("batchsize", batchsize)
 
             keys = list(set(v["input"] + v["reply"]))
-           # print("SharedMem: \"%s\", keys: %s" % (name, str(keys)))
+            print("SharedMem: \"%s\", keys: %s" % (name, str(keys)), file=sys.stderr)
 
             smem_opts = ctx.createSharedMemOptions(name, this_batchsize)
             smem_opts.setTimeout(v.get("timeout_usec", 0))
diff --git a/src_py/rlpytorch/model_loader.py b/src_py/rlpytorch/model_loader.py
index c4040ee1..7a5553d9 100644
--- a/src_py/rlpytorch/model_loader.py
+++ b/src_py/rlpytorch/model_loader.py
@@ -10,6 +10,7 @@
 import time
 import torch
 import warnings
+import sys
 
 from elf.options import import_options, PyOptionSpec
 from elf import logging
@@ -25,7 +26,7 @@
 def load_module(mod):
     """Load a python module."""
     module = importlib.import_module(mod)
-   # print(module, mod)
+    print(module, mod, file=sys.stderr)
     return module