onnxruntime/tools/ci_build/github/azure-pipelines/nuget/templates/gpu.yml
Ashwini Khade df22611026
Update ONNX commit (#5487)
* update ONNX

* update onnx + register kernels for reduction ops

* bug fix kernel reg

* update cgmanifests

* revert unsqueeze op 13 registration

* filter ops which are not implemented yet

* filter some tests

* update onnx commit to include conv transpose bug fix

* update docker images

* undo not required test changes

* fix test failures
2020-10-21 07:22:20 -07:00

322 lines
15 KiB
YAML

parameters:
DoEsrp: 'false'
PackageName: 'Microsoft.ML.OnnxRuntime.Gpu'
jobs:
- template: ../../templates/win-ci-2019.yml
parameters:
AgentPool : 'Win-GPU-2019'
ArtifactName: 'drop-nuget'
JobName: 'Windows_CI_GPU_CUDA_Dev'
BuildCommand: --build_dir $(Build.BinariesDirectory) --skip_submodule_sync --build_shared_lib --enable_onnx_tests --use_telemetry --cmake_generator "Visual Studio 16 2019" --use_cuda --cuda_version=10.2 --cuda_home="C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2" --cudnn_home="C:\local\cudnn-10.2-windows10-x64-v8.0.3.33\cuda"
BuildArch: 'x64'
msbuildArchitecture: 'amd64'
EnvSetupScript: 'setup_env_cuda.bat'
sln_platform: 'x64'
DoDebugBuild: 'false'
DoNugetPack : 'true'
DoCompliance: 'false'
DoEsrp: ${{ parameters.DoEsrp }}
CudaVersion: '10.2'
OrtPackageId: 'Microsoft.ML.OnnxRuntime.Gpu'
NuPackScript: |
msbuild $(Build.SourcesDirectory)\csharp\OnnxRuntime.CSharp.proj /p:Configuration=RelWithDebInfo /t:CreatePackage /p:OrtPackageId=Microsoft.ML.OnnxRuntime.Gpu
copy $(Build.SourcesDirectory)\csharp\src\Microsoft.ML.OnnxRuntime\bin\RelWithDebInfo\*.nupkg $(Build.ArtifactStagingDirectory)
copy $(Build.BinariesDirectory)\RelWithDebInfo\RelWithDebInfo\*.nupkg $(Build.ArtifactStagingDirectory)
mkdir $(Build.ArtifactStagingDirectory)\testdata
copy $(Build.BinariesDirectory)\RelWithDebInfo\RelWithDebInfo\custom_op_library.* $(Build.ArtifactStagingDirectory)\testdata
- template: ../../templates/win-ci-2019.yml
parameters:
AgentPool : 'Win-GPU-2019'
ArtifactName: 'drop-nuget-dml'
JobName: 'Windows_CI_GPU_DML_Dev'
BuildCommand: --build_dir $(Build.BinariesDirectory) --skip_submodule_sync --build_shared_lib --enable_onnx_tests --enable_wcos --use_telemetry --use_dml --use_winml --cmake_generator "Visual Studio 16 2019"
BuildArch: 'x64'
msbuildArchitecture: 'amd64'
EnvSetupScript: 'setup_env_cuda.bat'
sln_platform: 'x64'
DoDebugBuild: 'false'
DoNugetPack : 'true'
DoCompliance: 'false'
DoEsrp: ${{ parameters.DoEsrp }}
CudaVersion: '10.2'
OrtPackageId: 'Microsoft.ML.OnnxRuntime.DirectML'
NuPackScript: |
msbuild $(Build.SourcesDirectory)\csharp\OnnxRuntime.CSharp.proj /p:Configuration=RelWithDebInfo /t:CreatePackage /p:OrtPackageId=Microsoft.ML.OnnxRuntime.DirectML
copy $(Build.SourcesDirectory)\csharp\src\Microsoft.ML.OnnxRuntime\bin\RelWithDebInfo\*.nupkg $(Build.ArtifactStagingDirectory)
copy $(Build.BinariesDirectory)\RelWithDebInfo\RelWithDebInfo\*.nupkg $(Build.ArtifactStagingDirectory)
mkdir $(Build.ArtifactStagingDirectory)\testdata
copy $(Build.BinariesDirectory)\RelWithDebInfo\RelWithDebInfo\custom_op_library.* $(Build.ArtifactStagingDirectory)\testdata
- template: ../../templates/win-ci-2019.yml
parameters:
AgentPool : 'Win-GPU-2019'
ArtifactName: 'drop-win-dml-x86-zip'
JobName: 'Windows_CI_GPU_DML_Dev_x86'
BuildCommand: --build_dir $(Build.BinariesDirectory) --x86 --skip_submodule_sync --build_shared_lib --enable_onnx_tests --enable_wcos --use_telemetry --use_dml --use_winml --cmake_generator "Visual Studio 16 2019"
BuildArch: 'x86'
EnvSetupScript: 'setup_env_x86.bat'
sln_platform: 'Win32'
DoDebugBuild: 'false'
DoNugetPack : 'true'
DoCompliance: ${{ parameters.DoCompliance }}
DoEsrp: ${{ parameters.DoEsrp }}
RunTests: 'false'
NuPackScript: |
msbuild $(Build.SourcesDirectory)\csharp\OnnxRuntime.CSharp.proj /p:Configuration=RelWithDebInfo /p:TargetArchitecture=x86 /t:CreatePackage /p:OrtPackageId=Microsoft.ML.OnnxRuntime.DirectML
cd $(Build.BinariesDirectory)\RelWithDebInfo\RelWithDebInfo\
ren Microsoft.ML.OnnxRuntime.DirectML.* win-dml-x86.zip
copy $(Build.BinariesDirectory)\RelWithDebInfo\RelWithDebInfo\win-dml-x86.zip $(Build.ArtifactStagingDirectory)
mkdir $(Build.ArtifactStagingDirectory)\testdata
copy $(Build.BinariesDirectory)\RelWithDebInfo\RelWithDebInfo\custom_op_library.* $(Build.ArtifactStagingDirectory)\testdata
- job: 'Linux_CI_GPU_Dev'
workspace:
clean: all
timeoutInMinutes: 120
pool: 'Linux-GPU-CUDA10'
steps:
- template: ../../templates/set-version-number-variables-step.yml
- template: ../../templates/linux-set-variables-and-download.yml
- task: Docker@2
displayName: login
inputs:
containerRegistry: onnxruntimeregistry
command: login
addPipelineData: false
- task: CmdLine@2
inputs:
script: |
mkdir -p $HOME/.onnx
docker run --gpus all -e NVIDIA_VISIBLE_DEVICES=all --rm --volume /data/onnx:/data/onnx:ro --volume $(Build.SourcesDirectory):/onnxruntime_src --volume $(Build.BinariesDirectory):/build --volume /data/models:/build/models:ro --volume $HOME/.onnx:/home/onnxruntimedev/.onnx -e NIGHTLY_BUILD onnxruntimeregistry.azurecr.io/internal/azureml/onnxruntimecentosgpubuild:ch9q \
/bin/bash -c "python3 /onnxruntime_src/tools/ci_build/build.py --build_dir /build --config Release --skip_submodule_sync --parallel --build_shared_lib --use_cuda --cuda_version=10.2 --cuda_home=/usr/local/cuda-10.2 --cudnn_home=/usr/local/cuda-10.2 --enable_onnx_tests && cd /build/Release && make install DESTDIR=/build/linux-x64"
- task: Docker@2
displayName: logout
inputs:
containerRegistry: onnxruntimeregistry
command: logout
addPipelineData: false
- script: |
set -e -x
mv $(Build.BinariesDirectory)/linux-x64/usr/local/lib64 $(Build.BinariesDirectory)/linux-x64/linux-x64
cd $(Build.BinariesDirectory)/linux-x64
zip -r linux-x64.zip linux-x64
cp $(Build.BinariesDirectory)/linux-x64/linux*.zip $(Build.ArtifactStagingDirectory)
mkdir $(Build.ArtifactStagingDirectory)/testdata
cp $(Build.BinariesDirectory)/Release/libcustom_op_library.so* $(Build.ArtifactStagingDirectory)/testdata
ls -al $(Build.ArtifactStagingDirectory)
displayName: 'Create Artifacts'
- task: PublishPipelineArtifact@0
displayName: 'Publish Pipeline Artifact'
inputs:
artifactName: 'drop-linux'
targetPath: '$(Build.ArtifactStagingDirectory)'
- template: ../../templates/component-governance-component-detection-steps.yml
parameters :
condition : 'succeeded'
- template: ../../templates/clean-agent-build-directory-step.yml
- job: NuGet_Packaging
workspace:
clean: all
pool: 'Win-GPU-2019'
dependsOn:
- Windows_CI_GPU_CUDA_Dev
- Windows_CI_GPU_DML_Dev
- Windows_CI_GPU_DML_Dev_x86
- Linux_CI_GPU_Dev
condition: succeeded()
steps:
- task: DownloadPipelineArtifact@0
displayName: 'Download Pipeline Artifact - NuGet CUDA'
inputs:
artifactName: 'drop-nuget'
targetPath: '$(Build.BinariesDirectory)/nuget-artifact'
- task: DownloadPipelineArtifact@0
displayName: 'Download Pipeline Artifact - NuGet DirectML'
inputs:
artifactName: 'drop-nuget-dml'
targetPath: '$(Build.BinariesDirectory)/nuget-artifact-dml'
- task: DownloadPipelineArtifact@0
displayName: 'Download Pipeline Artifact - NuGet DirectML x86'
inputs:
artifactName: 'drop-win-dml-x86-zip'
targetPath: '$(Build.BinariesDirectory)/nuget-artifact-dml'
- task: DownloadPipelineArtifact@0
displayName: 'Download Pipeline Artifact - Linux'
inputs:
artifactName: 'drop-linux'
targetPath: '$(Build.BinariesDirectory)/nuget-artifact'
- script: |
pushd $(Build.BinariesDirectory)\nuget-artifact
dir
powershell -Command "Invoke-WebRequest http://stahlworks.com/dev/unzip.exe -OutFile unzip.exe"
powershell -Command "Invoke-WebRequest http://stahlworks.com/dev/zip.exe -OutFile zip.exe"
set PATH=%CD%;%PATH%
SETLOCAL EnableDelayedExpansion
FOR /R %%i IN (*.nupkg) do (
set filename=%%~ni
IF NOT "!filename:~25,7!"=="Managed" (
rename %%~ni.nupkg %%~ni.zip
unzip %%~ni.zip -d %%~ni
del /Q %%~ni.zip
unzip linux-x64.zip -d linux-x64
mkdir %%~ni\runtimes\linux-x64
mkdir %%~ni\runtimes\linux-x64\native
move linux-x64\linux-x64\libonnxruntime.so %%~ni\runtimes\linux-x64\native\libonnxruntime.so
pushd %%~ni
zip -r ..\%%~ni.zip .
popd
move %%~ni.zip %%~ni.nupkg
)
)
popd
copy $(Build.BinariesDirectory)\nuget-artifact\*.nupkg $(Build.ArtifactStagingDirectory)
displayName: 'Bundle Native NuGet and other binaries'
- script: |
pushd $(Build.BinariesDirectory)\nuget-artifact-dml
dir
powershell -Command "Invoke-WebRequest http://stahlworks.com/dev/unzip.exe -OutFile unzip.exe"
powershell -Command "Invoke-WebRequest http://stahlworks.com/dev/zip.exe -OutFile zip.exe"
set PATH=%CD%;%PATH%
SETLOCAL EnableDelayedExpansion
FOR /R %%i IN (*.nupkg) do (
set filename=%%~ni
IF NOT "!filename:~25,7!"=="Managed" (
rename %%~ni.nupkg %%~ni.zip
unzip %%~ni.zip -d %%~ni
del /Q %%~ni.zip
unzip win-dml-x86.zip -d win-x86
mkdir %%~ni\runtimes\win-x86
mkdir %%~ni\runtimes\win-x86\native
move win-x86\runtimes\win-x86\native\onnxruntime.dll %%~ni\runtimes\win-x86\native\onnxruntime.dll
move win-x86\runtimes\win-x86\native\onnxruntime.lib %%~ni\runtimes\win-x86\native\onnxruntime.lib
move win-x86\runtimes\win-x86\native\onnxruntime.pdb %%~ni\runtimes\win-x86\native\onnxruntime.pdb
move win-x86\runtimes\win-x86\native\directml.dll %%~ni\runtimes\win-x86\native\DirectML.dll
move win-x86\runtimes\win-x86\native\directml.pdb %%~ni\runtimes\win-x86\native\DirectML.pdb
pushd %%~ni
zip -r ..\%%~ni.zip .
popd
move %%~ni.zip %%~ni.nupkg
)
)
popd
copy $(Build.BinariesDirectory)\nuget-artifact-dml\Microsoft.ML.OnnxRuntime.DirectML*nupkg $(Build.ArtifactStagingDirectory)
displayName: 'Bundle DML NuGet and other binaries'
- template: ../../templates/esrp_nuget.yml
parameters:
DisplayName: 'ESRP - sign NuGet package'
FolderPath: '$(Build.ArtifactStagingDirectory)'
DoEsrp: ${{ parameters.DoEsrp }}
- template: ../../templates/validate-nuget.yml
parameters:
NugetPath: '$(Build.ArtifactStagingDirectory)'
NugetPackage: 'Microsoft.ML.OnnxRuntime.Gpu*nupkg'
PlatformsSupported: 'win-x64,linux-x64'
VerifyNugetSigning: ${{ parameters.DoEsrp }}
- template: ../../templates/validate-nuget.yml
parameters:
NugetPath: '$(Build.ArtifactStagingDirectory)'
NugetPackage: 'Microsoft.ML.OnnxRuntime.DirectML*nupkg'
PlatformsSupported: 'win-x64,win-x86'
VerifyNugetSigning: ${{ parameters.DoEsrp }}
- task: PublishPipelineArtifact@0
displayName: 'Publish Pipeline NuGet Artifact'
inputs:
artifactName: 'drop-signed-nuget'
targetPath: '$(Build.ArtifactStagingDirectory)'
- template: test_win.yml
parameters:
AgentPool : 'Win-GPU-2019'
Skipx86Tests: 'true'
- template: test_linux.yml
parameters:
AgentPool : 'Linux-GPU-CUDA10'
TestGPU : 'true'
- job: Publish_NuGet_Package_And_Report
workspace:
clean: all
pool: 'Win-CPU-2019'
variables:
- name: GDN_CODESIGN_TARGETDIRECTORY
value: '$(Build.BinariesDirectory)/nuget-artifact/final-package'
condition: and (succeeded(), and (${{ parameters.DoEsrp }}, eq(variables['Build.SourceBranch'], 'refs/heads/master')))
dependsOn:
- NuGet_Test_Win
- NuGet_Test_Linux
steps:
- template: ../../templates/set-version-number-variables-step.yml
- task: DownloadPipelineArtifact@0
displayName: 'Download Pipeline Artifact - Signed NuGet Package'
inputs:
artifactName: 'drop-signed-nuget'
targetPath: $(Build.BinariesDirectory)/nuget-artifact/final-package
- template: get-nuget-package-version-as-variable.yml
parameters:
packageFolder: '$(Build.BinariesDirectory)/nuget-artifact/final-package'
- task: DotNetCoreCLI@2
displayName: 'Copy Signed Native NuGet Package to Internal NuGet Feed'
condition: ne(variables['IsReleaseBuild'], 'true') # release build has a different package naming scheme
inputs:
command: 'push'
searchPatternPush: '$(Build.BinariesDirectory)/nuget-artifact/final-package/Microsoft.ML.OnnxRuntime.Gpu.$(NuGetPackageVersionNumber).nupkg'
feedPublish: 'OnnxRuntime'
- task: DotNetCoreCLI@2
displayName: 'Copy Signed Managed NuGet Package to Internal NuGet Feed'
condition: ne(variables['IsReleaseBuild'], 'true') # release build has a different package naming scheme
inputs:
command: 'push'
searchPatternPush: '$(Build.BinariesDirectory)/nuget-artifact/final-package/Microsoft.ML.OnnxRuntime.Managed.$(NuGetPackageVersionNumber).nupkg'
feedPublish: 'OnnxRuntime'
- task: DotNetCoreCLI@2
displayName: 'Copy Signed DirectML NuGet Package to Internal NuGet Feed'
condition: ne(variables['IsReleaseBuild'], 'true') # release build has a different package naming scheme
inputs:
command: 'push'
searchPatternPush: '$(Build.BinariesDirectory)/nuget-artifact/final-package/Microsoft.ML.OnnxRuntime.DirectML.$(DirectMLNuGetPackageVersionNumber).nupkg'
feedPublish: 'OnnxRuntime'
- task: NuGetCommand@2
displayName: 'Copy Signed Native NuGet Package to ORT-NIGHTLY'
condition: ne(variables['IsReleaseBuild'], 'true') # release build has a different package naming scheme
inputs:
command: 'push'
packagesToPush: '$(Build.BinariesDirectory)/nuget-artifact/final-package/Microsoft.ML.OnnxRuntime.Gpu.$(NuGetPackageVersionNumber).nupkg'
publishVstsFeed: '2692857e-05ef-43b4-ba9c-ccf1c22c437c/7982ae20-ed19-4a35-a362-a96ac99897b7'
- task: NuGetCommand@2
displayName: 'Copy Signed Managed NuGet Package to ORT-NIGHTLY'
condition: ne(variables['IsReleaseBuild'], 'true') # release build has a different package naming scheme
inputs:
command: 'push'
packagesToPush: '$(Build.BinariesDirectory)/nuget-artifact/final-package/Microsoft.ML.OnnxRuntime.Managed.$(NuGetPackageVersionNumber).nupkg'
publishVstsFeed: '2692857e-05ef-43b4-ba9c-ccf1c22c437c/7982ae20-ed19-4a35-a362-a96ac99897b7'
- task: NuGetCommand@2
displayName: 'Copy Signed DirectML NuGet Package to ORT-NIGHTLY'
condition: ne(variables['IsReleaseBuild'], 'true') # release build has a different package naming scheme
inputs:
command: 'push'
packagesToPush: '$(Build.BinariesDirectory)/nuget-artifact/final-package/Microsoft.ML.OnnxRuntime.DirectML.$(DirectMLNuGetPackageVersionNumber).nupkg'
publishVstsFeed: '2692857e-05ef-43b4-ba9c-ccf1c22c437c/7982ae20-ed19-4a35-a362-a96ac99897b7'