small fixes

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

-import numpy 
+import numpy as np 
 import torch
 from torch.autograd import Variable
 

bob/learn/pytorch/test/test.py

@@ -322,7 +322,7 @@ def test_extractors():
   assert output.shape[0] == 256
 
   # MCCNN 
-  from . import MCCNNExtractor
+  from ..extractor.image import MCCNNExtractor
   extractor = MCCNNExtractor(num_channels=4)
   # this architecture expects num_channelsx128x128 Multi channel images
   data = numpy.random.rand(4, 128, 128).astype("float32")