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[Quant] X86 qengine always uses fbgemm kernels on OS other than Linux #93218
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/93218
Note: Links to docs will display an error until the docs builds have been completed. ⏳ No Failures, 7 PendingAs of commit 548c627: This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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Hi @jerryzh168. Could you please review this PR? Thanks. |
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thanks, please feel free to land the onednn only changes directly. or is this blocked by a review from pytorch dev?
Yes. I think such PRs need approval from Meta side to land. For example, #91934 cannot be merged with approval from our team only (merged failed). And this PR is related to x86 backend, not actually onednn only I think, so we think it also needs approval from Meta side. |
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@pytorchbot merge |
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 |
Summary
X86 quantization backend (qengine) with oneDNN kernels has not been validated on OS other than Linux. So, let it fall back to fbgemm if OS is not Linux. This makes sure the behavior is the same on Windows/Mac as the previous default fbgemm qengine on x86 CPUs.
Test plan
CI checks.
cc @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10