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Fix CPU MoE input corruption from in-place buffer reuse - #33885

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Tianlei Wu (tianleiwu) merged 4 commits into
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copilot/fix-moe-wrong-results-cpu
Nov 10, 2026
Merged

Tianlei Wu (tianleiwu) merged 4 commits into
mainfrom
copilot/fix-moe-wrong-results-cpu

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Copilot AI commented Nov 4, 2026 •

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Description

  • Buffer preservation: Copy tokens when input/output buffers alias, independently of routing-weight normalization.
  • Regression coverage: Cover graph inputs, Add and Reshape(Add) producers, intermediate/exposed MoE outputs, and both normalization modes.

Motivation and Context

CPU MoE can return incorrect results in Add → MoE → Relu when routing normalization is disabled. Its in-place allocation contract permits output to reuse token storage, but clearing that output destroys tokens before expert computation reads them.

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Copilot AI and others added 2 commits November 4, 2026 19:57
Co-authored-by: tianleiwu <30328909+tianleiwu@users.noreply.github.com>
Co-authored-by: tianleiwu <30328909+tianleiwu@users.noreply.github.com>
Copilot AI changed the title [WIP] Fix MoE output results on CPU with graph inputs Fix CPU MoE input corruption from in-place buffer reuse Nov 4, 2026
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Tianlei Wu (tianleiwu) marked this pull request as ready for review November 6, 2026 17:37
Copilot AI balanced review requested due to automatic review settings November 6, 2026 17:37

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🟢 Approval recommended

No active review issues were identified for the CPU MoE buffer-aliasing fix.

No open issues 🎉

What changed in this PR

Fixes CPU MoE input corruption when its output reuses token storage, addressing #33866 without tying buffer preservation to routing-weight normalization.

Changes:

  • Copies tokens before clearing the output when input and output buffers alias.
  • Adds float32 and float16 regression tests covering graph inputs, Add and Reshape(Add) producers, intermediate and exposed MoE outputs, both normalization modes, and repeated runs.
File Description
onnxruntime/​test/​contrib_ops/​moe_test.cc Adds regression coverage for CPU MoE buffer reuse across graph configurations.
onnxruntime/​contrib_ops/​cpu/​moe/​moe_cpu.cc Preserves tokens whenever input and output buffers alias.

Review effort: Balanced

Bring the SentencePiece 0.2.2 pin compatible with CI's protobuf 6.x runtime and refresh current-main validation.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

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AI-assisted source review at 297d797120f54556a7ad2eb8e21a365252f0dad9.

Checked the in-place allocation contract, the ordering of token preservation and output clearing, all subsequent FP32/FP16 input reads, and the added producer/output/normalization/repeated-run regressions. The preservation condition now follows actual buffer aliasing rather than routing normalization, while non-aliased inputs avoid the unnecessary copy.

No new actionable findings in this pass. An isolated numerical model passed alias/non-alias cases with normalization on/off; this was not execution of the ORT kernel or regression suite. The reported head checks are 100 successful and one neutral. No local native build was run.

@tianleiwu Tianlei Wu (tianleiwu) left a comment

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Reviewed the CPU MoE alias-preservation fix at 297d797120f54556a7ad2eb8e21a365252f0dad9. No actionable findings.

Copying only when input/output pointers alias matches the in-place registration and preserves tokens before output clearing, independently of routing normalization. Both float and half consumers use the preserved pointer. The graph-level regressions cover graph inputs, Add intermediates and Reshape aliases, exposed/hidden MoE output, normalization on/off, both dtypes, and repeated use of the same feeds.

Exact-head CPU/native CI is green, including Linux Release/ASan and ARM64 configurations. No local native build or test run was performed. Comment-only review; no approval submitted.

@tianleiwu
Tianlei Wu (tianleiwu) merged commit e2b4c5d into main Nov 10, 2026
101 checks passed
@tianleiwu
Tianlei Wu (tianleiwu) deleted the copilot/fix-moe-wrong-results-cpu branch November 10, 2026 00:32
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Successfully merging this pull request may close these issues.

CPU MoE gives wrong results when its input is computed in the graph and its output feeds another node

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