Mc deep pixbis

Adds a net architecture, extractor and tests

bob/learn/pytorch/extractor/image/MCDeepPixBiS.py

@@ -59,22 +59,16 @@ class MCDeepPixBiSExtractor(Extractor):
       pass
     else:
 
-
       # With the new training
       logger.debug('Starting to load the pretrained PAD model')
 
       try:
         cp = torch.load(model_file)
       except:
-        try:
-          cp= torch.load(model_file,map_location=lambda storage,loc:storage) 
-        except:
-          raise ValueError('Failed to load the model file : {}'.format(model_file))
+        raise ValueError('Failed to load the model file : {}'.format(model_file))
 
       if 'state_dict' in cp:
         self.network.load_state_dict(cp['state_dict'])
-      elif: ## check this part
-        self.network.load_state_dict(cp)
       else:
         raise ValueError('Failed to load the state_dict for model file: {}'.format(model_file))