fixed linter complaints

Author: bodokaiser

test/test_transforms.py

@@ -158,22 +158,16 @@ def test_tensor_gray_to_pil_image(self):
  img_data_byte = torch.ByteTensor(1, 4, 4).random_(0, 255)
  img_data_short = torch.ShortTensor(1, 4, 4).random_()
  img_data_int = torch.IntTensor(1, 4, 4).random_()
- img_data_float = torch.FloatTensor(1, 4, 4).uniform_()
 
  img_byte = trans(img_data_byte)
  img_short = trans(img_data_short)
  img_int = trans(img_data_int)
- img_float = trans(img_data_float)
  assert img_byte.mode == 'L'
  assert img_short.mode == 'I;16'
  assert img_int.mode == 'I'
- #assert img_float.mode == 'F'
 
  assert np.allclose(img_data_short.numpy(), to_tensor(img_short).numpy())
  assert np.allclose(img_data_int.numpy(), to_tensor(img_int).numpy())
- # would cause breaking changes as ToTensor converts to range [0, 1]
- #assert np.allclose(img_data_byte.numpy(), to_tensor(img_byte).numpy())
- #assert np.allclose(img_data_float.numpy(), to_tensor(img_float).numpy())
 
  def test_ndarray_to_pil_image(self):
  trans = transforms.ToPILImage()