Add PyTorch integration test to Kineto CI workflow with multi-backend support #1188
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… support Summary: Enhance the libkineto CI workflow to build PyTorch from source with the PR's Kineto changes and run test/test_profiler.py across multiple hardware backends (CUDA and ROCm). This ensures Kineto changes are validated in the full PyTorch context before merging, catching integration issues early. The workflow uses a matrix strategy to test on both NVIDIA GPUs (A10G) and AMD ROCm GPUs, clones PyTorch, replaces its bundled Kineto submodule with the PR version via symlink, compiles PyTorch with the appropriate backend flags, and runs the profiler tests. Differential Revision: D88681772
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@sraikund16 has exported this pull request. If you are a Meta employee, you can view the originating Diff in D88681772. |
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Summary: Enhance the libkineto CI workflow to build PyTorch from source with the PR's Kineto changes and run test/test_profiler.py across multiple hardware backends (CUDA and ROCm). This ensures Kineto changes are validated in the full PyTorch context before merging, catching integration issues early. The workflow uses a matrix strategy to test on both NVIDIA GPUs (A10G) and AMD ROCm GPUs, clones PyTorch, replaces its bundled Kineto submodule with the PR version via symlink, compiles PyTorch with the appropriate backend flags, and runs the profiler tests.
Differential Revision: D88681772