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Make torch.utils.bencmark numpy free #60564
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💊 CI failures summary and remediationsAs of commit b44d1ea (more details on the Dr. CI page and at hud.pytorch.org/pr/60564):
1 failure not recognized by patterns:
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torch.median() for tensors with even number of elements returns lower of two medians, while numpy returns average, which corresponds to `quantile(0.5)`
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@malfet has imported this pull request. If you are a Facebook employee, you can view this diff on Phabricator. |
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I think it's ready for review now. |
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LGTM. Thanks.
PyTorch core do not depend on numpy, so benchmarks should not depend on it as well