[QNN-EP] Support alternate Layernorm fusion pattern in QNN preprocess #26060
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/azp run Linux QNN CI Pipeline,Win_TRT_Minimal_CUDA_Test_CI,Windows ARM64 QNN CI Pipeline,Windows GPU Doc Gen CI Pipeline |
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Azure Pipelines successfully started running 4 pipeline(s). |
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Pull request overview
This PR extends the QNN preprocessor's LayerNorm fusion capability to recognize an alternate pattern where a Mul node (with both inputs being the same tensor) is used instead of a Pow node (with exponent 2.0) for computing the squared values. This is mathematically equivalent since x² = x * x, and some model exporters may generate this pattern.
Key Changes:
- Added documentation for the Mul-based LayerNorm fusion pattern
- Extended pattern matching to recognize Mul nodes in place of Pow nodes
- Added validation logic to ensure Mul nodes have matching inputs
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Please, rebase off main |
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Rebased on top of tip |
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Description
Small change to allow QNN Preprocess to allow a Mul node (with A=B) instead of a Pow node (with Y=2) for layernorm fusion.