mirror of
https://github.com/saymrwulf/onnxruntime.git
synced 2026-07-30 20:18:08 +00:00
dbc7a195b1
1. Enable xnnpack test 2. Change TSA database name from onnxruntime_master to onnxruntime_main. This is a leftover of renaming the "master" branch to "main" 3. Add two static analysis jobs for WinML and DML 4. Rename the machine pool "aiinfra-dml-winbuild" to "onnxruntime-Win2019-GPU-dml-A10", so that the internal and public ADO instances use the same machine pool name. 5. Move Windows GPU CI build pipeline from "onnxruntime-Win2022-GPU-T4" to "onnxruntime-Win2022-GPU-A10" machine pool, because we do not have enough T4 GPUs.
105 lines
3.4 KiB
YAML
105 lines
3.4 KiB
YAML
trigger:
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branches:
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include:
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- main
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- rel-*
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paths:
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exclude:
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- docs/**
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- README.md
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- CONTRIBUTING.md
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- BUILD.md
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pr:
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branches:
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include:
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- main
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- rel-*
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paths:
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exclude:
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- docs/**
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- README.md
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- CONTRIBUTING.md
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- BUILD.md
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parameters:
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- name: RunOnnxRuntimeTests
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displayName: Run Tests?
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type: boolean
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default: true
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stages:
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- stage: cuda
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dependsOn: []
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jobs:
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- template: templates/jobs/win-ci-vs-2022-job.yml
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parameters:
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BuildConfig: 'RelWithDebInfo'
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EnvSetupScript: setup_env_cuda_11.bat
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buildArch: x64
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additionalBuildFlags: --enable_pybind --build_java --build_nodejs --use_cuda --cuda_home="$(Agent.TempDirectory)\v11.8" --enable_cuda_profiling --cmake_extra_defines CMAKE_CUDA_ARCHITECTURES=86
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msbuildPlatform: x64
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isX86: false
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job_name_suffix: x64_RelWithDebInfo
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RunOnnxRuntimeTests: ${{ parameters.RunOnnxRuntimeTests }}
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RunStaticCodeAnalysis: false
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ORT_EP_NAME: CUDA
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WITH_CACHE: true
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MachinePool: onnxruntime-Win2022-GPU-A10
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- stage: training
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dependsOn: []
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jobs:
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- template: templates/jobs/win-ci-vs-2022-job.yml
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parameters:
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BuildConfig: 'RelWithDebInfo'
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EnvSetupScript: setup_env_cuda_11.bat
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buildArch: x64
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additionalBuildFlags: --enable_pybind --enable_training --use_cuda --cuda_home="$(Agent.TempDirectory)\v11.8" --skip_onnx_tests --cmake_extra_defines CMAKE_CUDA_ARCHITECTURES=75
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msbuildPlatform: x64
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isX86: false
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job_name_suffix: x64_RelWithDebInfo
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RunOnnxRuntimeTests: ${{ parameters.RunOnnxRuntimeTests }}
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RunStaticCodeAnalysis: false
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ORT_EP_NAME: CUDA
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WITH_CACHE: true
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# Some unit tests crash on A10 GPUs. So this job still needs to use A10.
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MachinePool: onnxruntime-Win2022-GPU-T4
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isTraining: true
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- stage: dml
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dependsOn: []
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jobs:
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- template: templates/win-ci-vs-2019.yml
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parameters:
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BuildConfig: 'RelWithDebInfo'
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EnvSetupScript: setup_env.bat
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buildArch: x64
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additionalBuildFlags: --enable_pybind --use_dml --enable_wcos --use_winml
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msbuildPlatform: x64
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isX86: false
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job_name_suffix: x64_RelWithDebInfo
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RunOnnxRuntimeTests: ${{ parameters.RunOnnxRuntimeTests }}
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RunStaticCodeAnalysis: false
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ORT_EP_NAME: DML
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WITH_CACHE: true
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MachinePool: onnxruntime-Win2019-GPU-dml-A10
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- stage: kernelDocumentation
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dependsOn: []
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jobs:
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- template: templates/jobs/win-ci-vs-2022-job.yml
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parameters:
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BuildConfig: 'RelWithDebInfo'
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EnvSetupScript: setup_env_cuda_11.bat
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buildArch: x64
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# note: need to specify `--gen_doc` when creating the build config so it has to be in additionalBuildFlags
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additionalBuildFlags: --gen_doc validate --skip_tests --enable_pybind --use_dml --use_cuda --cuda_home="$(Agent.TempDirectory)\v11.8" --cmake_extra_defines CMAKE_CUDA_ARCHITECTURES=86 --cmake_extra_defines onnxruntime_BUILD_UNIT_TESTS=OFF
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msbuildPlatform: x64
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isX86: false
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job_name_suffix: x64_RelWithDebInfo
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RunOnnxRuntimeTests: false
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RunStaticCodeAnalysis: false
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GenerateDocumentation: true
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ORT_EP_NAME: CUDA # It doesn't really matter which EP is selected here since this stage is for documentation.
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WITH_CACHE: true
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MachinePool: onnxruntime-Win2022-GPU-A10
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