Initial update of the doc-string of MultiNetPatchExtractor

bob/ip/pytorch_extractor/MultiNetPatchExtractor.py

@@ -37,31 +37,17 @@ class MultiNetPatchExtractor(Extractor, object):
 
     Attributes
     -----------
-    config_file: str
-        Relative name of the config file.
-        The path should be relative to ``config_group``,
-        for example: "test_data/multi_net_patch_extractor_test_config.py".
-
-        This file **must** contain at least the following definitions:
 
+    transform : object
         Function namely ``transform``, which is a  Compose transformation of
         torchvision package, to be applied to the input samples.
 
-        A ``Network`` class, defining your network architecture. Note, if your
-        class is named differently, import it as ``Network``, for example:
-        ``from bob.learn.pytorch.architectures import MyNetwork as Network``
-
-        Optional: ``network_kwargs`` to be used for ``Network`` initialization.
-        For example, if you want to use the latent embeddings of the autoencoder
-        class, set the kwargs accodingly. Note: in current extractor the
-        ``forward()`` method of the ``Network`` is used for feature extraction.
-
-    config_group: str
-        Group/package name containing the configuration file. Usually all
-        configs should be stored in this folder/place.
-        For example: "bob.ip.pytorch_extractor".
-        Both ``config_file`` and ``config_group`` are used to access the
-        configuration module.
+    network : object
+        An instance of the Network to be used for feature extraction.
+        Note: in current extractor the ``forward()`` method of the Network
+        is used for feature extraction. For example, if you want to use the
+        latent embeddings of the autoencoder class, initialize the network
+        accordingly.
 
     model_file : [str]
         A list of paths to the model files to be used for network initialization.