[torchax] Added support for bicubic and billinear resampling#9196
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zmelumian972 wants to merge 1 commit intopytorch:masterfrom
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[torchax] Added support for bicubic and billinear resampling#9196zmelumian972 wants to merge 1 commit intopytorch:masterfrom
zmelumian972 wants to merge 1 commit intopytorch:masterfrom
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qihqi
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May 20, 2025
torchax/torchax/ops/jaten.py
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| size[1], | ||
| align_corners, | ||
| ) | ||
| return _aten_upsample( |
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same here, you want to raise OperatorNotFound so it will go through the old code path (and hopefully pass the tests in test_ops.py for interpolate.
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I tried it, it does not pass the test I built at torchax/test/test_image.py (torchax.tensor.OperatorNotFound: Operator with name aten::_upsample_bicubic2d_aa has no lowering) , so either I did something wrong building this test or I did something wrong building the operator
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Currently torchax does not support image resampling with antialiasing enabled
that, and the current implantation for bicubic resampling does not match torch
this PR aims to fix that