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Remove test_out, test_variant_consistency_eager skips for addmv; fixed before
#61579
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💊 CI failures summary and remediationsAs of commit dd0c1d4 (more details on the Dr. CI page and at hud.pytorch.org/pr/61579): 💚 💚 Looks good so far! There are no failures yet. 💚 💚 Preview docs built from this PR This comment was automatically generated by Dr. CI (expand for details).Follow this link to opt-out of these comments for your Pull Requests.Please report bugs/suggestions to the (internal) Dr. CI Users group. |
addmv; fixed beforeaddmv; fixed before
| broadcasts_input=broadcasts_input)) | ||
| return tuple(sample_inputs) | ||
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| def generator(): |
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Nice refactor
| dtypesIfROCM=floating_types_and(torch.half), | ||
| supports_inplace_autograd=False, | ||
| supports_forward_ad=True, | ||
| skips=( |
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Always awesome to see skips removed
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Great and necessary cleanup. Thanks @krshrimali!
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@mruberry has imported this pull request. If you are a Facebook employee, you can view this diff on Phabricator. |
This PR:
test_outskip: it's not needed anymore after it was fixed inaddmv: port to structured kernels, improve error checks #55746. This should also close addmv_() allows resizing the tensor it operates on and produces wrong results #55589.test_variant_consistency_eagerskip, it was added by mistake in [testing] addbroadcasts_inputand verifies the behaviour for inplace_variant. #55771.sample_inputs_addmvfunction, the updated function should now be cleaner and easy to read.cc: @mruberry