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Commit 510f095d authored by Bodo Kaiser's avatar Bodo Kaiser Committed by Soumith Chintala
Browse files

fixed linter complaints

parent 6d2423c7
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test/test_transforms.py
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...@@ -158,22 +158,16 @@ class Tester(unittest.TestCase): ...@@ -158,22 +158,16 @@ class Tester(unittest.TestCase):
img_data_byte = torch.ByteTensor(1, 4, 4).random_(0, 255) img_data_byte = torch.ByteTensor(1, 4, 4).random_(0, 255)
img_data_short = torch.ShortTensor(1, 4, 4).random_() img_data_short = torch.ShortTensor(1, 4, 4).random_()
img_data_int = torch.IntTensor(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_byte = trans(img_data_byte)
img_short = trans(img_data_short) img_short = trans(img_data_short)
img_int = trans(img_data_int) img_int = trans(img_data_int)
img_float = trans(img_data_float)
assert img_byte.mode == 'L' assert img_byte.mode == 'L'
assert img_short.mode == 'I;16' assert img_short.mode == 'I;16'
assert img_int.mode == 'I' 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_short.numpy(), to_tensor(img_short).numpy())
assert np.allclose(img_data_int.numpy(), to_tensor(img_int).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): def test_ndarray_to_pil_image(self):
trans = transforms.ToPILImage() trans = transforms.ToPILImage()
......
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