POWER : Implement MlasGemmQuantKernel using VSX builtins for M = 1

[BODAPATIMAHESH]

POWER : Added a VSX-based implementation of MlasGemmQuantKernel optimized for the case when M = 1.
Verified correctness using ONNX Runtime's built-in tests and onnxruntime_mlas_tests;no regressions observed.
Evaluated performance using a Granite 8-bit quantized model and observed approximately 3-5% improvement in token generation speed.

Description

when M=1 then performed a multiplication using a VSX vector builtin vec_msum

Motivation and Context

To improve token generation performance for models with a batch size of 1

[BODAPATIMAHESH]

@yufenglee Could you review this PR.

[BODAPATIMAHESH]

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[hariharans29]

/azp run Linux QNN CI Pipeline, Win_TRT_Minimal_CUDA_Test_CI, Windows ARM64 QNN CI Pipeline, Windows GPU Doc Gen CI Pipeline, Windows x64 QNN CI Pipeline

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Azure Pipelines successfully started running 5 pipeline(s).

[hariharans29]

/azp run Build Linux arm64 Debug / build_test_pipeline, Build Linux arm64 Release / build_test_pipeline, Build Linux CUDA x64 Release / build_test_pipeline, Build Linux CUDA x64 Release / build_test_pipeline, Build Linux TensorRT x64 Release / build_test_pipeline, Build Linux x64 Debug (ASan) / build_test_pipeline, Build and Test OpenVINO EP

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[hariharans29]

/azp run Build and Test OpenVINO EP, build_x64_debug

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[Copilot]

Pull Request Overview

This PR adds a specialized VSX-based implementation of MlasGemmQuantKernel optimized for the M=1 case to improve token generation performance for models with batch size 1, achieving a 3-5% improvement.

Key changes:

• Added M=1 optimization in packing function for improved memory layout
• Implemented specialized MlasGemmQuantKernel_M1 function using VSX vector multiplication
• Modified main kernel function to route M=1 cases to the optimized implementation

[fs-eire]

Try close & reopen to trigger the checks

[hariharans29]

@BODAPATIMAHESH - Thanks for the contribution. Can you please address Copilot's comments ?

[BODAPATIMAHESH]

Thanks. I will work on the comments

[BODAPATIMAHESH]

@BODAPATIMAHESH - Thanks for the contribution. Can you please address Copilot's comments ?

Thanks , I will resolve and update

[BODAPATIMAHESH]

@hariharans29 I initially formatted the entire file using clang-format, but realized that most of the changes were unrelated to my patch. So, I updated the formatting to include only the changes relevant to my patch. I'm open to suggestions if there's a preferred approach.

[hariharans29]

@hariharans29 I initially formatted the entire file using clang-format, but realized that most of the changes were unrelated to my patch. So, I updated the formatting to include only the changes relevant to my patch. I'm open to suggestions if there's a preferred approach.

Formating your changes is fine. Could you ensure going over Copilot's comments one by one and ensuring it is addressed ?

Also, does your change need unit tests or existing ones should do ?

[BODAPATIMAHESH]

@hariharans29 I initially formatted the entire file using clang-format, but realized that most of the changes were unrelated to my patch. So, I updated the formatting to include only the changes relevant to my patch. I'm open to suggestions if there's a preferred approach.

Formating your changes is fine. Could you ensure going over Copilot's comments one by one and ensuring it is addressed ?

Also, does your change need unit tests or existing ones should do ?

Thanks.
No additional test cases are needed for this optimization; the existing tests with M=1 sufficiently validate the changes.

[BODAPATIMAHESH]

@hariharans29 I've addressed the Copilot review comments. Please take a look at the latest changes.

[hariharans29]

@hariharans29 I've addressed the Copilot review comments. Please take a look at the latest changes.

Can you please "resolve" them (i.e.) click the button for the Copilot comments ? I think that is a gating requirement for merging.

[hariharans29]

/azp run Linux QNN CI Pipeline,Win_TRT_Minimal_CUDA_Test_CI,Windows ARM64 QNN CI Pipeline,Windows GPU Doc Gen CI Pipeline,Windows x64 QNN CI Pipeline

[azure-pipelines]

Azure Pipelines successfully started running 5 pipeline(s).

[BODAPATIMAHESH]

@hariharans29 I've addressed the Copilot review comments. Please take a look at the latest changes.

Can you please "resolve" them (i.e.) click the button for the Copilot comments ? I think that is a gating requirement for merging.

@hariharans29 I hope all are fixed now.

[hariharans29]

@hariharans29 I've addressed the Copilot review comments. Please take a look at the latest changes.

Can you please "resolve" them (i.e.) click the button for the Copilot comments ? I think that is a gating requirement for merging.

@hariharans29 I hope all are fixed now.

Thanks. I am not familir with Power ISA and I am trying to find another reviewer before merging. CC: @jywu-msft

[hariharans29]

/azp run Linux QNN CI Pipeline,Win_TRT_Minimal_CUDA_Test_CI,Windows ARM64 QNN CI Pipeline,Windows GPU Doc Gen CI Pipeline,Windows x64 QNN CI Pipeline

[azure-pipelines]

Azure Pipelines successfully started running 5 pipeline(s).

[hariharans29]

/azp run Linux QNN CI Pipeline

[azure-pipelines]

Azure Pipelines successfully started running 1 pipeline(s).

[hariharans29]

Can you rebase with main ? I think you need this fix - #25877

[BODAPATIMAHESH]

Can you rebase with main ? I think you need this fix - #25877

Thanks @hariharans29 . I have rebased with main.

[hariharans29]

/azp run Linux QNN CI Pipeline,Win_TRT_Minimal_CUDA_Test_CI,Windows ARM64 QNN CI Pipeline,Windows GPU Doc Gen CI Pipeline,Windows x64 QNN CI Pipeline

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Azure Pipelines successfully started running 5 pipeline(s).