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Use the scalar MlasSgemm CopyPackB and TransposePackB implementation for RISCV and Update activation test compare check to include NaN case #28988

Use the scalar MlasSgemm CopyPackB and TransposePackB implementation for RISCV and Update activation test compare check to include NaN case

Use the scalar MlasSgemm CopyPackB and TransposePackB implementation for RISCV and Update activation test compare check to include NaN case #28988

Workflow file for this run

name: Windows_CI
on:
push:
branches:
- main
- rel-*
pull_request:
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref || github.run_id }}
cancel-in-progress: true
env:
AZCOPY_AUTO_LOGIN_TYPE: MSI
AZCOPY_MSI_CLIENT_ID: 63b63039-6328-442f-954b-5a64d124e5b4
jobs:
Windows-CUDA-12:
runs-on: ["self-hosted", "1ES.Pool=onnxruntime-github-vs2022-mms"]
steps:
- uses: actions/checkout@v4
with:
submodules: false
- uses: actions/setup-python@v5
with:
python-version: '3.11.x'
architecture: 'x64'
- uses: actions/setup-node@v4
with:
node-version: 18
- name: Download cuda
run: azcopy.exe cp --recursive "https://lotusscus.blob.core.windows.net/models/cuda_sdk/v12.2" cuda_sdk
- name: Delete build folder
run: |
if (Test-Path D:\b) { Remove-Item -Recurse -Force D:\b }
&tools\ci_build\github\windows\install_third_party_deps.ps1 -cpu_arch x64 -install_prefix D:\b\Debug\installed -build_config Debug
# The build machine doesn't have a GPU. So the value of CMAKE_CUDA_ARCHITECTURES doesn't matter.
- name: Build code
run: python tools\ci_build\build.py --windows_sdk_version 10.0.22621.0 --enable_training --build_java --config Debug --build_dir D:\b --skip_submodule_sync --build_csharp --update --build --parallel --cmake_generator "Visual Studio 17 2022" --build_shared_lib --enable_pybind --use_cuda --cuda_home=${{ github.workspace }}\cuda_sdk\v12.2 --enable_cuda_profiling --cmake_extra_defines CMAKE_CUDA_ARCHITECTURES=75