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Preserve channels-last memory format in to_image #9637

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Preserve channels-last memory format in to_image #9637

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10 changes: 10 additions & 0 deletions test/test_transforms_v2.py
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Original file line number Diff line number Diff line change
Expand Up @@ -6794,6 +6794,16 @@ def test_functional_error(self):
with pytest.raises(TypeError, match="Input can either be a pure Tensor, a numpy array, or a PIL image"):
F.to_image(object())

def test_numpy_channels_last_memory_format(self):
input = np.zeros((224, 224, 3), dtype=np.uint8)

output = F.to_image(input)

assert output.shape == (3, 224, 224)

assert output.unsqueeze(0).is_contiguous(
memory_format=torch.channels_last
)

class TestToPILImage:
@pytest.mark.parametrize("make_input", [make_image_tensor, make_image, make_image_numpy])
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2 changes: 1 addition & 1 deletion torchvision/transforms/v2/functional/_type_conversion.py
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Expand Up @@ -11,7 +11,7 @@
def to_image(inpt: Union[torch.Tensor, PIL.Image.Image, np.ndarray]) -> tv_tensors.Image:
"""See :class:`~torchvision.transforms.v2.ToImage` for details."""
if isinstance(inpt, np.ndarray):
output = torch.from_numpy(np.atleast_3d(inpt)).permute((2, 0, 1)).contiguous()
output = torch.from_numpy(np.atleast_3d(inpt)).permute((2, 0, 1))
elif isinstance(inpt, PIL.Image.Image):
output = pil_to_tensor(inpt)
elif isinstance(inpt, torch.Tensor):
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