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Pull request overview
This PR fixes issues in the QMoE CPU operator implementation, specifically correcting bias handling logic and updating attribute naming to match the actual C++ implementation. The changes also improve MLAS documentation for better clarity on input buffer layout requirements.
Changes:
- Fixed FC2 bias handling in QMoE CPU operator by tracking when MLAS DirectQ4Gemm adds bias
- Added transpose logic to convert weight matrices from [N, K] to [K, N] layout required by MlasQ4GemmPackB
- Updated Python tests to use
swiglu_fusionattribute instead of incorrectswiglu_interleavedattribute - Enhanced MLAS documentation to clarify that MlasQ4GemmPackB expects FpData with shape [K, N]
- Added proper bias collection and passing in Python test infrastructure
Reviewed changes
Copilot reviewed 3 out of 3 changed files in this pull request and generated no comments.
| File | Description |
|---|---|
| onnxruntime/core/mlas/inc/mlas_q4.h | Updated documentation for MlasQ4GemmPackB to clarify FpData shape [K, N] and parameter meanings |
| onnxruntime/contrib_ops/cpu/moe/moe_quantization_cpu.cc | Added transpose logic for weight matrices, renamed fc2_bias_handled_by_q4_gemm to fc2_bias_added_by_mlas, removed unused fc1_used_direct_q4 flag |
| onnxruntime/test/python/transformers/test_qmoe_cpu.py | Migrated from swiglu_interleaved to swiglu_fusion attribute, added bias collection/passing logic, updated swiglu function signature, improved weight interleaving for swiglu_fusion=1 |
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apsonawane
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Feb 18, 2026
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This PR addresses several issues in the QMoE CPU implementation, improves MLAS documentation. ## Changes ### 1. QMoE CPU Operator Fixes - **Corrected Bias Handling**: Renamed `fc2_bias_handled_by_q4_gemm` to `fc2_bias_added_by_mlas` and updated the logic to consistently track whether FC2 bias has been applied. This ensures that bias is not double-counted or missed when using `DirectQ4Gemm`. - **SwiGLU Attribute Update**: Switched from `swiglu_interleaved` to `swiglu_fusion` in both the C++ operator and the Python test infrastructure to align with the latest QMoE implementation standards. ### 2. MLAS Documentation - **Clarified Buffer Shapes**: Added explicit documentation to `MlasQ4GemmPackB` to specify that the input `FpData` buffer expects a shape of `[K, N]`. This helps prevent layout-related errors in future integrations. ### 3. Test Updates - **PyTorch Parity Fixes**: Refactored `onnxruntime/test/python/transformers/test_qmoe_cpu.py` to use `swiglu_fusion` and improved the test structure for better parity checks with PyTorch. ## Verification - Verified by running `test_qmoe_cpu.py` to ensure all QMoE parity tests pass on CPU.
tianleiwu
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This cherry-picks the following commits for the release: | Commit ID | PR Number | Commit Title | |-----------|-----------|-------------| | decd177 | #27090 | Fix GatherND division by zero when batch dimensions mismatch | | 55f8234 | #27360 | Fix QMoE CPU Operator | | df9146f | #27403 | [MLAS] Adding DynamicQGemm function pointers and ukernel interface | | 0f93853 | #27318 | [js/web] Use embedded WASM module in Blob URL workers when wasmBinary is provided | | b2a6e69 | #27364 | QMoE CPU Performance Update (Up to 4x on 4-bit) | | f501e1d | #27413 | Fix refcount bug in map input conversion that caused shutdown segfault | | b32b205 | #27421 | Fix error where bytes is not assigned for dynamic qgemm pack b size | | 426b006 | #27397 | Fix DllImportResolver | | 0982844 | #27412 | MatmulNBits prepacking scales fix | | 9afb0d2 | #27430 | Fix validation for external data paths for models loaded from bytes | | 71d2cd0 | #27401 | Enable Python 3.14 CI and Upgrade Dependencies | | 79e0676 | #27419 | fix: out of bounds access for resize operation | | 82eb99c | #27459 | Fix SkipLayerNorm fusion incorrectly applied when gamma/beta are not 1D | | 355278a | #27444 | Fix GatherCopyData Integer Truncation Leading to Heap Out-of-Bounds Read/Write | | cf96123 | #27411 | [web] fix usage of wasmBinary together with a blob URL for .mjs | | 1131a86 | #27399 | [web] remove the unhelpful "Unknown CPU vendor" warning. | | ffbbc4f | #27316 | Build Windows ARM64X binaries as part of packaging pipeline | --------- Signed-off-by: Jonathan Clohessy <Jonathan.Clohessy@arm.com> Co-authored-by: patryk-kaiser-ARM <patryk.kaiser@arm.com> Co-authored-by: don <70039285+0-don@users.noreply.github.com> Co-authored-by: Jonathan Clohessy <jonathan.clohessy@arm.com> Co-authored-by: Hariharan Seshadri <shariharan91@gmail.com> Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: Adrian Lizarraga <adlizarraga@microsoft.com> Co-authored-by: Lukas Folle <126877803+lukas-folle-snkeos@users.noreply.github.com> Co-authored-by: Chi Lo <54722500+chilo-ms@users.noreply.github.com> Co-authored-by: Yulong Wang <7679871+fs-eire@users.noreply.github.com> Co-authored-by: Chaya <cha182350@gmail.com> Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> Co-authored-by: Copilot <198982749+Copilot@users.noreply.github.com> Co-authored-by: Erik <erscor@microsoft.com> Co-authored-by: Edward Chen <18449977+edgchen1@users.noreply.github.com>
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deps(nuget): Bump the microsoft-packages group with 8 updates
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deps(nuget): Bump the microsoft-packages group with 8 updates
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This PR addresses several issues in the QMoE CPU implementation, improves MLAS documentation.
Changes
1. QMoE CPU Operator Fixes
fc2_bias_handled_by_q4_gemmtofc2_bias_added_by_mlasand updated the logic to consistently track whether FC2 bias has been applied. This ensures that bias is not double-counted or missed when usingDirectQ4Gemm.swiglu_interleavedtoswiglu_fusionin both the C++ operator and the Python test infrastructure to align with the latest QMoE implementation standards.2. MLAS Documentation
MlasQ4GemmPackBto specify that the inputFpDatabuffer expects a shape of[K, N]. This helps prevent layout-related errors in future integrations.3. Test Updates
onnxruntime/test/python/transformers/test_qmoe_cpu.pyto useswiglu_fusionand improved the test structure for better parity checks with PyTorch.Verification
test_qmoe_cpu.pyto ensure all QMoE parity tests pass on CPU.