Update test_transforms.py #500
Merged
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Nit improve
test_pad_with_non_constant_padding_modes
to avoid data multiplication intransforms.ToPILImage()
on float data:However original image value at the boundary is
1
and not255
.If we modify
img = torch.zeros(3, 27, 27).byte()
, then test's correct values are [..., 200, 1, 0] instead of previous [..., 200, 255, 0]