Renamed the test config for MultiNetPatchExtractor, updated docstrings accordingly

bob/ip/pytorch_extractor/MultiNetPatchExtractor.py

@@ -40,7 +40,7 @@ class MultiNetPatchExtractor(Extractor, object):
     config_file: str
         Relative name of the config file.
         The path should be relative to ``config_group``,
-        for example: "autoencoder/net1_batl_3_layers_partial.py".
+        for example: "test_data/multi_net_patch_extractor_test_config.py".
 
         This file **must** contain at least the following definitions:
 
@@ -59,7 +59,7 @@ class MultiNetPatchExtractor(Extractor, object):
     config_group: str
         Group/package name containing the configuration file. Usually all
         configs should be stored in this folder/place.
-        For example: "bob.learn.pytorch.config".
+        For example: "bob.ip.pytorch_extractor".
         Both ``config_file`` and ``config_group`` are used to access the
         configuration module.
 

bob/ip/pytorch_extractor/test.py

@@ -65,7 +65,7 @@ def test_multi_net_patch_extractor():
     # =========================================================================
     # test the extractor:
 
-    CONFIG_FILE = "test_data/net1_test_config.py"  # config containing an instance of Composed Transform and a Network class to be used in feature extractor
+    CONFIG_FILE = "test_data/multi_net_patch_extractor_test_config.py"  # config containing an instance of Composed Transform and a Network class to be used in feature extractor
     CONFIG_GROUP = "bob.ip.pytorch_extractor"
     # use specific/unique model for each patch. Models pre-trained on CelebA and fine-tuned (3 layers) on BATL:
 

bob/ip/pytorch_extractor/test_data/net1_test_config.py → bob/ip/pytorch_extractor/test_data/multi_net_patch_extractor_test_config.py

@@ -8,8 +8,6 @@
 
 from torchvision import transforms
 
-#from bob.pad.face.database import CELEBAPadDatabase
-
 from torch import nn