mirror of
https://github.com/saymrwulf/onnxruntime.git
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e91d91ae4f
### Description In PR #19073 I mistunderstood the value of "--parallel". Instead of testing if args.parallel is None or not , I should test the returned value of number_of_parallel_jobs function. If build.py was invoked without --parallel, then args.parallel equals to 1. Because it is the default value. Then we should not add "/MP". However, the current code adds it. Because if `args.paralllel` is evaluated to `if 1` , which is True. If build.py was invoked with --parallel with additional numbers, then args.parallel equals to 0. Because it is unspecified. Then we should add "/MP". However, the current code does not add it. Because `if args.paralllel` is evaluated to `if 0` , which is False. This also adds a new build flag: use_binskim_compliant_compile_flags, which is intended to be only used in ONNX Runtime team's build pipelines for compliance reasons. ### Motivation and Context
106 lines
3.4 KiB
YAML
106 lines
3.4 KiB
YAML
##### start trigger Don't edit it manually, Please do edit set-trigger-rules.py ####
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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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- 'js/web'
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- 'onnxruntime/core/providers/js'
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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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- 'js/web'
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- 'onnxruntime/core/providers/js'
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#### end trigger ####
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resources:
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repositories:
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- repository: manylinux
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type: Github
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endpoint: Microsoft
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name: pypa/manylinux
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ref: 5eda9aded5462201e6310105728d33016e637ea7
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jobs:
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# This pipeline builds the latest PyTorch commit from source
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# and use it in ORT tests. See Dockerfile.manylinux2014_lort_cpu
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# for the installation steps. Idally, we should only use one pipeline
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# for eager mode and LazyTensor, but we split them due to recent
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# PyTorch's breaking changes.
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#
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# TODO: once ORT eager mode can run with latest PyTorch commit, we
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# should
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# 1. Set --build_eager_mode when running build.py in the
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# first "task" below.
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# 2. Copy the second "task" above as the third task below.
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- job: BuildAndTestLazyTensor
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timeoutInMinutes: 120
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workspace:
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clean: all
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pool: onnxruntime-Ubuntu2204-AMD-CPU
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steps:
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- checkout: self
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clean: true
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submodules: recursive
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- template: templates/get-docker-image-steps.yml
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parameters:
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Dockerfile: tools/ci_build/github/linux/docker/Dockerfile.manylinux2014_lort_cpu
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Context: tools/ci_build/github/linux/docker
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DockerBuildArgs: "--build-arg BUILD_UID=$( id -u )"
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Repository: onnxruntimecpubuildlort
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- task: CmdLine@2
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displayName: 'Build ORT for Python 3.9'
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inputs:
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script: |
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docker run --rm \
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--volume $(Build.SourcesDirectory):/onnxruntime_src \
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--volume $(Build.BinariesDirectory):/build \
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-e ALLOW_RELEASED_ONNX_OPSET_ONLY=0 \
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-e NIGHTLY_BUILD \
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-e BUILD_BUILDNUMBER \
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onnxruntimecpubuildlort \
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/opt/python/cp39-cp39/bin/python3.9 /onnxruntime_src/tools/ci_build/build.py \
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--build_dir /build --cmake_generator Ninja \
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--config Release \
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--skip_submodule_sync \
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--build_shared_lib \
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--parallel --use_binskim_compliant_compile_flags \
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--enable_lazy_tensor --enable_training --build_wheel --skip_test \
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workingDirectory: $(Build.SourcesDirectory)
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- task: CmdLine@2
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displayName: 'Test DORT with Python 3.9'
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inputs:
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script: |
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docker run --rm \
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--volume $(Build.SourcesDirectory):/onnxruntime_src \
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--volume $(Build.BinariesDirectory):/build \
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-e ALLOW_RELEASED_ONNX_OPSET_ONLY=0 \
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-e NIGHTLY_BUILD \
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-e BUILD_BUILDNUMBER \
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onnxruntimecpubuildlort \
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bash -c "
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export PYTHONPATH=/build/Release && \
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/opt/python/cp39-cp39/bin/python3.9 -m pip install /build/Release/dist/*.whl && \
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/opt/python/cp39-cp39/bin/python3.9 /onnxruntime_src/orttraining/orttraining/test/python/orttraining_test_dort.py && \
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cd /build/Release && /opt/python/cp39-cp39/bin/python3.9 /onnxruntime_src/orttraining/orttraining/test/python/orttraining_test_dort_custom_ops.py"
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workingDirectory: $(Build.SourcesDirectory)
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condition: succeededOrFailed()
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- template: templates/clean-agent-build-directory-step.yml
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