onnxruntime/tools/ci_build/github/azure-pipelines/c-api-packaging-pipelines.yml
Changming Sun b5bd14fc9f
Update GPU packaging pipelines to cuda11 and fix the other build break issues (#6585)
Update gpu packaging pipelines to CUDA11

In the next release we will use CUDA 11. And our CUDA 11 build suddenly became broken because recently CentOS 7 posted an update of glibc. The version of glibc was changed from 2.17-317.el7 to 2.17-322.el7_9. But the newer one isn't compatible with CUDA 11. We have to downgrade it.
2021-02-05 16:58:37 -08:00

86 lines
3.6 KiB
YAML

parameters:
- name: RunOnnxRuntimeTests
displayName: Run Tests?
type: boolean
default: true
- name: DoCompliance
displayName: Run Compliance Tasks?
type: boolean
default: true
- name: DoEsrp
displayName: Run code sign tasks? Must be true if you are doing an Onnx Runtime release.
type: boolean
default: false
- name: IsReleaseBuild
displayName: Is a release build? Set it to true if you are doing an Onnx Runtime release.
type: boolean
default: false
jobs:
- template: templates/c-api-cpu.yml
parameters:
RunOnnxRuntimeTests: ${{ parameters.RunOnnxRuntimeTests }}
DoCompliance: ${{ parameters.DoCompliance }}
DoEsrp: ${{ parameters.DoEsrp }}
IsReleaseBuild: ${{ parameters.IsReleaseBuild }}
OrtNugetPackageId: 'Microsoft.ML.OnnxRuntime'
AdditionalBuildFlags: '--use_openmp'
AdditionalWinBuildFlags: '--enable_onnx_tests --enable_wcos'
- job: Linux_C_API_Packaging_GPU_x64
workspace:
clean: all
timeoutInMinutes: 120
pool: 'Linux-GPU-CUDA10'
variables:
CUDA_VERSION: '11.0'
steps:
- template: templates/set-version-number-variables-step.yml
- template: templates/get-docker-image-steps.yml
parameters:
Dockerfile: tools/ci_build/github/linux/docker/Dockerfile.manylinux2014_cuda11
Context: tools/ci_build/github/linux/docker
DockerBuildArgs: "--build-arg BUILD_UID=$( id -u )"
Repository: onnxruntimecuda11build
- task: CmdLine@2
inputs:
script: |
mkdir -p $HOME/.onnx
docker run --gpus all -e CC=/opt/rh/devtoolset-8/root/usr/bin/cc -e CXX=/opt/rh/devtoolset-8/root/usr/bin/c++ -e CFLAGS="-g -O3" -e CXXFLAGS="-g -O3" -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 $HOME/.onnx:/home/onnxruntimedev/.onnx -e NIGHTLY_BUILD onnxruntimecuda11build \
/opt/python/cp37-cp37m/bin/python3 /onnxruntime_src/tools/ci_build/build.py --build_dir /build --config Release \
--skip_submodule_sync --parallel --build_shared_lib --use_cuda --cuda_version=$(CUDA_VERSION) --cuda_home=/usr/local/cuda-$(CUDA_VERSION) --cudnn_home=/usr/local/cuda-$(CUDA_VERSION) --cmake_extra_defines CMAKE_CUDA_HOST_COMPILER=/opt/rh/devtoolset-8/root/usr/bin/cc
workingDirectory: $(Build.SourcesDirectory)
- template: templates/c-api-artifacts-package-and-publish-steps-posix.yml
parameters:
buildConfig: 'Release'
artifactName: 'onnxruntime-linux-x64-gpu-$(OnnxRuntimeVersion)'
artifactNameNoVersionString: 'onnxruntime-linux-x64-gpu'
libraryName: 'libonnxruntime.so.$(OnnxRuntimeVersion)'
commitId: $(OnnxRuntimeGitCommitHash)
- template: templates/component-governance-component-detection-steps.yml
parameters :
condition : 'succeeded'
- template: templates/clean-agent-build-directory-step.yml
- template: templates/win-ci.yml
parameters:
IsReleaseBuild: ${{ parameters.IsReleaseBuild }}
ort_build_pool_name: 'Win-GPU-2019'
DoCompliance: ${{ parameters.DoCompliance }}
DoEsrp: ${{ parameters.DoEsrp }}
OrtNugetPackageId: 'Microsoft.ML.OnnxRuntime.Gpu'
job_name_suffix: gpu
EnvSetupScript: setup_env_cuda_11.bat
buildArch: x64
msbuildPlatform: x64
packageName: x64-gpu
buildparameter: --use_cuda --cuda_version=11.0 --cuda_home="C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.0" --cudnn_home="C:\local\cudnn-11.0-windows-x64-v8.0.2.39\cuda" --enable_onnx_tests --enable_wcos
runTests: true
buildJava: false