Commented out model loading part

bob/learn/pytorch/architectures/MCCNN.py

@@ -93,20 +93,20 @@ class MCCNN(nn.Module):
     print("light_cnn_model_file",light_cnn_model_file)
 
 
-    if not os.path.exists(light_cnn_model_file):
+    # if not os.path.exists(light_cnn_model_file):
 
-      bob.io.base.create_directories_safe(os.path.split(light_cnn_model_file)[0])
+    #   bob.io.base.create_directories_safe(os.path.split(light_cnn_model_file)[0])
 
-      print('Downloading the LightCNN model')
+    #   print('Downloading the LightCNN model')
 
-      bob.extension.download.download_file(url,light_cnn_model_file)
+    #   bob.extension.download.download_file(url,light_cnn_model_file)
 
-      print('Downloaded LightCNN model to {}'.format(light_cnn_model_file))
+    #   print('Downloaded LightCNN model to {}'.format(light_cnn_model_file))
 
 
-    ## Loding the pretrained model for ch_0
+    # ## Loding the pretrained model for ch_0
 
-    self.load_state_dict(self.get_model_state_dict(light_cnn_model_file),strict=False)
+    # self.load_state_dict(self.get_model_state_dict(light_cnn_model_file),strict=False)
 
     # copy over the weights to all other layers