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improve performance of {invert, solarize}_image_tensor #6819

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Merged
merged 6 commits into from
Oct 24, 2022
Merged

improve performance of {invert, solarize}_image_tensor #6819

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f1a248f
improve performance of invert_image_tensor
pmeier Oct 24, 2022
0cc6cdd
cleanup
pmeier Oct 24, 2022
34c075c
lint
pmeier Oct 24, 2022
7adfeb5
more cleanup
pmeier Oct 24, 2022
d8af69b
Merge branch 'main' into perf/invert
pmeier Oct 24, 2022
f8f68d7
use new invert in solarize
pmeier Oct 24, 2022
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16 changes: 14 additions & 2 deletions torchvision/prototype/transforms/functional/_color.py
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Original file line number Diff line number Diff line change
Expand Up @@ -312,7 +312,13 @@ def posterize(inpt: features.InputTypeJIT, bits: int) -> features.InputTypeJIT:
return posterize_image_pil(inpt, bits=bits)


solarize_image_tensor = _FT.solarize
def solarize_image_tensor(image: torch.Tensor, threshold: float) -> torch.Tensor:
if threshold > _FT._max_value(image.dtype):
raise TypeError(f"Threshold should be less or equal the maximum value of the dtype, but got {threshold}")

return torch.where(image >= threshold, invert_image_tensor(image), image)


solarize_image_pil = _FP.solarize


Expand Down Expand Up @@ -456,7 +462,13 @@ def equalize(inpt: features.InputTypeJIT) -> features.InputTypeJIT:
return equalize_image_pil(inpt)


invert_image_tensor = _FT.invert
def invert_image_tensor(image: torch.Tensor) -> torch.Tensor:
if image.dtype == torch.uint8:
return image.bitwise_not()
else:
return _FT._max_value(image.dtype) - image # type: ignore[no-any-return]


invert_image_pil = _FP.invert


Expand Down