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Added CUDA support for complex input for torch.inverse #2 #47595
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for fp32 batched inverse
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@IvanYashchuk can you rebase? |
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Done. |
💊 CI failures summary and remediationsAs of commit c10933b (more details on the Dr. CI page): ✅ None of the CI failures appear to be your fault 💚
🚧 1 ongoing upstream failure:These were probably caused by upstream breakages that are not fixed yet:
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 on the GitHub issue tracker or post in the (internal) Dr. CI Users group. This comment has been revised 6 times. |
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@anjali411 has imported this pull request. If you are a Facebook employee, you can view this diff on Phabricator.
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@IvanYashchuk sorry I am having a hard time landing this because of the unrelated test failures. can you rebase? |
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@anjali411 has imported this pull request. If you are a Facebook employee, you can view this diff on Phabricator.
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@anjali411 merged this pull request in a1db5b0. |
torch.inversenow works for complex inputs on GPU.Opening a new PR here. The previous PR was merged and reverted due to a bug in tests marked with
@slowTest.Previous PR #45034
Ref. #33152