Added CUDA support for complex input for torch.inverse #2#47595
Added CUDA support for complex input for torch.inverse #2#47595IvanYashchuk wants to merge 30 commits intopytorch:masterfrom
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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:
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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 merged this pull request in a1db5b0. |
…orch#47595) Summary: `torch.inverse` now 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 pytorch#45034 Ref. pytorch#33152 Pull Request resolved: pytorch#47595 Reviewed By: navahgar Differential Revision: D24840955 Pulled By: anjali411 fbshipit-source-id: ec49fffdc4b3cb4ae7507270fa24e127be14f59b
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