[utils] simplify the map_labels function

bob/learn/pytorch/datasets/casia_webface.py

@@ -55,9 +55,10 @@ class CasiaWebFaceDataset(Dataset):
         subject = int(path[-1])
         self.data_files.append(os.path.join(root, name))
         id_labels.append(subject)
- 
+
     self.id_labels = map_labels(id_labels, start_index)
 
+
   def __len__(self):
     """Returns the length of the dataset (i.e. nb of examples)
     

bob/learn/pytorch/datasets/utils.py

@@ -97,12 +97,12 @@ def map_labels(raw_labels, start_index=0):
   # map back to native int, resolve the problem with dataset concatenation
   # it does: line 78 is now ok
   # for some reason, it was not working when the type of id labels were numpy.int64 ...
-  labels_int = []
-  for i in range(len(labels)):
-    labels_int.append(labels[i].item())
-
-  return labels_int
+  #labels_int = []
+  #for i in range(len(labels)):
+  #  labels_int.append(labels[i].item())
 
+  #return labels_int
+  return labels
 
 from torch.utils.data import Dataset
 import bob.io.base