Removed standard lib packages from meta.yaml, added entry point for training script

conda/meta.yaml

@@ -36,11 +36,6 @@ requirements:
     - setuptools
     - numpy >=1.11
     - docopt
-    - os
-    - argparse
-    - importlib
-    - logging
-    - time
     - pytorch =0.4
     - torchvision >=0.2.0
     - matplotlib

requirements.txt

@@ -8,7 +8,3 @@ bob.io.base
 bob.io.image
 torch >= 0.4.0
 torchvision >= 0.2.0
-argparse
-importlib
-logging
-time

setup.py

@@ -22,7 +22,7 @@ setup(
     author = 'Guillaume Heusch',
     author_email = 'guillaume.heusch@idiap.ch',
     keywords = 'pytorch',
-    
+
     # If you have a better, long description of your package, place it on the
     # 'doc' directory and then hook it here
     long_description = open('README.rst').read(),
@@ -69,9 +69,10 @@ setup(
 
       # scripts should be declared using this entry:
       'console_scripts' : [
-        'train_cnn.py = bob.learn.pytorch.scripts.train_cnn:main', 
-        'train_dcgan.py = bob.learn.pytorch.scripts.train_dcgan:main', 
-        'train_conditionalgan.py = bob.learn.pytorch.scripts.train_conditionalgan:main', 
+        'train_cnn.py = bob.learn.pytorch.scripts.train_cnn:main',
+        'train_dcgan.py = bob.learn.pytorch.scripts.train_dcgan:main',
+        'train_conditionalgan.py = bob.learn.pytorch.scripts.train_conditionalgan:main',
+        'pytorch-train-autoencoder-pad.py = bob.pad.face.script.pytorch.pytorch_train:main',
       ],
    },