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src: cpu: conv: Use acl_indirect_gemm for bf16 convolutions #1933

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merged 1 commit into from
Jun 24, 2024
Merged

src: cpu: conv: Use acl_indirect_gemm for bf16 convolutions #1933

merged 1 commit into from
Jun 24, 2024

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Ryo-not-rio
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@Ryo-not-rio Ryo-not-rio commented May 28, 2024 •
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Description

Use acl_indirect_gemm for bf16 convolutions

performance improvements:

Total benchdnn tests: 57
Min: 15x
Average: 131x
Max: 320x

Checklist

General

  • Do all unit and benchdnn tests (make test and make test_benchdnn_*) pass locally for each commit?
  • Have you formatted the code using clang-format?

Performance improvements

  • Have you submitted performance data that demonstrates performance improvements?

@Ryo-not-rio
src: cpu: conv: Use acl_indirect_gemm for bf16 convolutions
9568261 
performance improvements:

Total benchdnn tests: 57
Min: 15x
Average: 131x
Max: 320x
@vpirogov vpirogov added this to the v3.6 milestone May 28, 2024
@mgouicem mgouicem added the platform:cpu-aarch64 Codeowner: @oneapi-src/onednn-cpu-aarch64 label May 30, 2024
jondea
jondea approved these changes Jun 4, 2024
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Reviewed internally, LGTM

jondea
jondea requested changes Jun 6, 2024
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We need to amend the indirect/gemm heuristics to take into account bf16*bf16->bf16. Currently they only consider fast math.

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jondea commented Jun 6, 2024

We need to amend the indirect/gemm heuristics to take into account bf16*bf16->bf16. Currently they only consider fast math.

This has been fixed by #1948

@Ryo-not-rio Ryo-not-rio mentioned this pull request Jun 7, 2024
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@vpirogov vpirogov merged commit 3a05ca5 into oneapi-src:main Jun 24, 2024
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@dzarukin dzarukin dzarukin approved these changes

@jondea jondea jondea approved these changes

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@Ryo-not-rio @jondea @dzarukin @vpirogov @mgouicem