Add complex support to conv_transpose3d #87967
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/87967
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit e035f60: This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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| DecorateInfo(unittest.skip("Skipped!"), 'TestJit', 'test_variant_consistency_jit'), | ||
| DecorateInfo(unittest.skip("Skipped! 75029"), 'TestCudaFuserOpInfo', 'test_nvfuser_correctness'), | ||
| DecorateInfo(unittest.skip("Skipped! 75363"), 'TestCudaFuserOpInfo', 'test_nvfuser_extremal_values'), | ||
| # RuntimeError: "slow_conv3d_cpu_grad_input" not implemented for 'Long' |
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hmm why is this only triggered in numpy ref testing? 🧐
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This fails for the reference function which uses torch.ops.aten.convolution_backward.
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LGTM thanks! |
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@pytorchbot merge |
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Merge startedYour change will be merged once all checks pass (ETA 0-4 Hours). Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
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Reference: pytorch#71108 Pull Request resolved: pytorch#87967 Approved by: https://github.com/anjali411
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Reference: pytorch#71108 Pull Request resolved: pytorch#87967 Approved by: https://github.com/anjali411
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Reference: #71108
cc @VitalyFedyunin @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10