mirror of
https://github.com/saymrwulf/onnxruntime.git
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d3d232b047
Rename onnxruntime-Linux-CPU-2019 machine pool to "onnxruntime-Ubuntu2004-AMD-CPU". The old one has an internal error and stuck there. I cannot make any change to it. It has been like this for more than 1 week. So I created a new pool with the same setting except the name is different. Also, move some android pipelines to "onnxruntime-Linux-CPU-For-Android-CI" which uses a standard image from https://github.com/actions/runner-images
76 lines
2.8 KiB
YAML
76 lines
2.8 KiB
YAML
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: aead4d751c2101e23336aa73f2380df83e7a13f3
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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-Ubuntu2004-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 \
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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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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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