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May 15, 2018
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Update test_transforms.py #500

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8 changes: 4 additions & 4 deletions test/test_transforms.py
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Original file line number Diff line number Diff line change
Expand Up @@ -245,7 +245,7 @@ def test_pad_with_tuple_of_pad_values(self):

def test_pad_with_non_constant_padding_modes(self):
"""Unit tests for edge, reflect, symmetric padding"""
img = torch.zeros(3, 27, 27)
img = torch.zeros(3, 27, 27).byte()
img[:, :, 0] = 1 # Constant value added to leftmost edge
img = transforms.ToPILImage()(img)
img = F.pad(img, 1, (200, 200, 200))
Expand All @@ -255,23 +255,23 @@ def test_pad_with_non_constant_padding_modes(self):
# First 6 elements of leftmost edge in the middle of the image, values are in order:
# edge_pad, edge_pad, edge_pad, constant_pad, constant value added to leftmost edge, 0
edge_middle_slice = np.asarray(edge_padded_img).transpose(2, 0, 1)[0][17][:6]
assert np.all(edge_middle_slice == np.asarray([200, 200, 200, 200, 255, 0]))
assert np.all(edge_middle_slice == np.asarray([200, 200, 200, 200, 1, 0]))
assert transforms.ToTensor()(edge_padded_img).size() == (3, 35, 35)

# Pad 3 to left/right, 2 to top/bottom
reflect_padded_img = F.pad(img, (3, 2), padding_mode='reflect')
# First 6 elements of leftmost edge in the middle of the image, values are in order:
# reflect_pad, reflect_pad, reflect_pad, constant_pad, constant value added to leftmost edge, 0
reflect_middle_slice = np.asarray(reflect_padded_img).transpose(2, 0, 1)[0][17][:6]
assert np.all(reflect_middle_slice == np.asarray([0, 0, 255, 200, 255, 0]))
assert np.all(reflect_middle_slice == np.asarray([0, 0, 1, 200, 1, 0]))
assert transforms.ToTensor()(reflect_padded_img).size() == (3, 33, 35)

# Pad 3 to left, 2 to top, 2 to right, 1 to bottom
symmetric_padded_img = F.pad(img, (3, 2, 2, 1), padding_mode='symmetric')
# First 6 elements of leftmost edge in the middle of the image, values are in order:
# sym_pad, sym_pad, sym_pad, constant_pad, constant value added to leftmost edge, 0
symmetric_middle_slice = np.asarray(symmetric_padded_img).transpose(2, 0, 1)[0][17][:6]
assert np.all(symmetric_middle_slice == np.asarray([0, 255, 200, 200, 255, 0]))
assert np.all(symmetric_middle_slice == np.asarray([0, 1, 200, 200, 1, 0]))
assert transforms.ToTensor()(symmetric_padded_img).size() == (3, 32, 34)

def test_pad_raises_with_invalid_pad_sequence_len(self):
Expand Down