[Inductor][CUDA][test] Fix test_mm_plus_mm3_dynamic_shapes_gpu_wrapper on CUDA#175569
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NayanNagabhushana-28 wants to merge 2 commits intopytorch:mainfrom
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[Inductor][CUDA][test] Fix test_mm_plus_mm3_dynamic_shapes_gpu_wrapper on CUDA#175569NayanNagabhushana-28 wants to merge 2 commits intopytorch:mainfrom
NayanNagabhushana-28 wants to merge 2 commits intopytorch:mainfrom
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/175569
Note: Links to docs will display an error until the docs builds have been completed. ✅ You can merge normally! (2 Unrelated Failures)As of commit 2043606 with merge base b9b2033 ( FLAKY - The following job failed but was likely due to flakiness present on trunk:
BROKEN TRUNK - The following job failed but was present on the merge base:👉 Rebase onto the `viable/strict` branch to avoid these failures
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# Motivation This PR aims to fix the CI failure on XPU. - `test_mm_plus_mm3` seems to only fail on CUDA. Already fixed in #175569 - `test_codegen_with_custom_heuristics_module` will fail on XPU due to `ModuleNotFoundError: No module named 'extension_triton_heuristics'`. This is because on CUDA CI, `is_parallel` is `False`, and on XPU CI, it is `True` due to a race condition. So we should add the path to `sys.path` in the parent process so that the` ExtensionCachingAutotuner` class can be resolved to boost the UT's robustness, whatever `is_parallel` it is. - skip `test_circular_dependencies` due to it is flaky on XPU, see #110040 https://github.com/pytorch/pytorch/blob/a88bb129e9d9e7572bc3a830ad5d148d74a63c48/torch/_inductor/async_compile.py#L385 # Additional Context fix #173473 fix #173344 fix #173916 fix #110040 Pull Request resolved: #176057 Approved by: https://github.com/jansel
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…r on CUDA (pytorch#175569) `test_mm_plus_mm3_gpu_wrapper` was marked xfail on CUDA but actually passes, causing XPASS. The expected failure was only in the `test_mm_plus_mm3_dynamic_shapes_gpu_wrapper`. Removed xfail from `test_mm_plus_mm3` in `test/inductor/test_select_algorithm.py` and added `test_mm_plus_mm3_dynamic_shapes` to `test_failures_gpu_wrapper` list in `test/inductor/test_gpu_cpp_wrapper.py` Fixes: pytorch#175546 CC: @eqy Pull Request resolved: pytorch#175569 Approved by: https://github.com/jansel
EmanueleCoradin
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# Motivation This PR aims to fix the CI failure on XPU. - `test_mm_plus_mm3` seems to only fail on CUDA. Already fixed in pytorch#175569 - `test_codegen_with_custom_heuristics_module` will fail on XPU due to `ModuleNotFoundError: No module named 'extension_triton_heuristics'`. This is because on CUDA CI, `is_parallel` is `False`, and on XPU CI, it is `True` due to a race condition. So we should add the path to `sys.path` in the parent process so that the` ExtensionCachingAutotuner` class can be resolved to boost the UT's robustness, whatever `is_parallel` it is. - skip `test_circular_dependencies` due to it is flaky on XPU, see pytorch#110040 https://github.com/pytorch/pytorch/blob/a88bb129e9d9e7572bc3a830ad5d148d74a63c48/torch/_inductor/async_compile.py#L385 # Additional Context fix pytorch#173473 fix pytorch#173344 fix pytorch#173916 fix pytorch#110040 Pull Request resolved: pytorch#176057 Approved by: https://github.com/jansel
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test_mm_plus_mm3_gpu_wrapperwas marked xfail on CUDA but actually passes, causing XPASS. The expected failure was only in thetest_mm_plus_mm3_dynamic_shapes_gpu_wrapper.Removed xfail from
test_mm_plus_mm3intest/inductor/test_select_algorithm.pyand addedtest_mm_plus_mm3_dynamic_shapestotest_failures_gpu_wrapperlist intest/inductor/test_gpu_cpp_wrapper.pyFixes: #175546
CC: @eqy
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @kadeng @muchulee8 @amjames @chauhang @aakhundov @coconutruben @jataylo