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Partially fix #8762

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pytorch-bot bot commented Feb 20, 2025

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🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/vision/8922

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target_transform (callable, optional): A function/transform that takes in the target and transforms it.
download (bool, optional): If True, downloads the dataset from the internet and puts it into
``root/country211/``. If dataset is already downloaded, it is not downloaded again.
loader (callable, optional): A function to load an image given its path.
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Thanks for the PR @GdoongMathew ,

Here and below, we should specify that the default is to use PIL, but that we encourage users to try to use decode_image()

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added. I also updated the one in ImageNet dataset as well.

transform=transform,
target_transform=target_transform,
loader=loader,
)
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How do you feel about writing a basic test for this? Hopefully this can fit in <10 lines of code and we can re-use the same test across most datasets?

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Added. Hopefully, for the rest of the test classes, one could update their SUPPORT_TV_IMAGE_DECODE attribute whenever they start to support loader argument.

return image

with unittest.mock.patch("PIL.Image.open", new=new):
with unittest.mock.patch(open.__module__ + "." + open.__qualname__, new=new):
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Damn, I hope we never have to change / fix this ever lol.

Thank you so much for pushing through the test @GdoongMathew

@NicolasHug NicolasHug merged commit 86f8eb0 into pytorch:main Feb 24, 2025
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@GdoongMathew GdoongMathew deleted the feat/loader_api branch February 24, 2025 13:24
facebook-github-bot pushed a commit that referenced this pull request Jul 28, 2025
Summary: Co-authored-by: Nicolas Hug <nh.nicolas.hug@gmail.com> Reviewed By: scotts Differential Revision: D77997073 fbshipit-source-id: 8de75ef7bc07f0b665b423eae800cca679677039
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