[torch-mlir][sparse] inline sparse helper methods #2918
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Even though the reference compiler is not about performance,
inlining the generated sparse helper methods has a rather big
impact on performance, leaving a much better first impression.
Therefore, we added this inlining pass (which leaves all other
PyTorch modules unaffected, since they tend to be one big main()
method to start with).
testing:
$./tools/e2e_test.sh --config linalg
Summary:
Passed: 1164
Expectedly Failed: 8
$ python -m e2e_testing.main --config=torchdynamo
Summary:
Passed: 976
Expectedly Failed: 162
PeimingLiu
approved these changes
Feb 16, 2024
yinying-lisa-li
approved these changes
Feb 17, 2024
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Even though the reference compiler is not about performance, inlining the generated sparse helper methods has a rather big positive impact on performance, leaving a much better first impression. Therefore, we added this inlining pass (which leaves all other PyTorch modules unaffected, since they tend to be one big main() method to start with).
testing:
$./tools/e2e_test.sh --config linalg
Summary:
Passed: 1164
Expectedly Failed: 8
$ python -m e2e_testing.main --config=torchdynamo
Summary:
Passed: 976
Expectedly Failed: 162