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[docs] Clarify pad/crop order in RandomCrop #9106

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Merged
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Jun 11, 2025
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[docs] Clarify pad/crop order in RandomCrop #9106

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2 changes: 1 addition & 1 deletion torchvision/transforms/transforms.py
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Expand Up @@ -589,7 +589,7 @@ class RandomCrop(torch.nn.Module):
int instead of sequence like (h, w), a square crop (size, size) is
made. If provided a sequence of length 1, it will be interpreted as (size[0], size[0]).
padding (int or sequence, optional): Optional padding on each border
of the image. Default is None. If a single int is provided this
of the image, applied before cropping. Default is None. If a single int is provided this
is used to pad all borders. If sequence of length 2 is provided this is the padding
on left/right and top/bottom respectively. If a sequence of length 4 is provided
this is the padding for the left, top, right and bottom borders respectively.
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2 changes: 1 addition & 1 deletion torchvision/transforms/v2/_geometry.py
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Expand Up @@ -769,7 +769,7 @@ class RandomCrop(Transform):
int instead of sequence like (h, w), a square crop (size, size) is
made. If provided a sequence of length 1, it will be interpreted as (size[0], size[0]).
padding (int or sequence, optional): Optional padding on each border
of the image. Default is None. If a single int is provided this
of the image, applied before cropping. Default is None. If a single int is provided this
is used to pad all borders. If sequence of length 2 is provided this is the padding
on left/right and top/bottom respectively. If a sequence of length 4 is provided
this is the padding for the left, top, right and bottom borders respectively.
Expand Down