[unit test] fixed tests, removing unecessary image

bob/learn/pytorch/test/test.py

@@ -9,9 +9,6 @@
 import numpy
 import torch
 
-from bob.io.base import load
-from bob.io.base.test_utils import datafile
-
 def test_architectures():
 
   a = numpy.random.rand(1, 3, 128, 128).astype("float32")
@@ -39,11 +36,10 @@ def test_architectures():
 
 def test_transforms():
 
-  sample = {}
-  image = load(datafile('001.jpg', 'bob.learn.pytorch.test'))
+  image = numpy.random.rand(3, 128, 128).astype("uint8")
 
   from ..datasets import RollChannels 
-  sample['image'] = image
+  sample = {'image': image}
   rc = RollChannels()
   rc(sample)
   assert sample['image'].shape == (128, 128, 3)