mirror of
https://github.com/saymrwulf/onnxruntime.git
synced 2026-05-14 20:48:00 +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.
32 lines
1.1 KiB
YAML
32 lines
1.1 KiB
YAML
name: Linux_CI
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on:
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push:
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branches:
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- main
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- rel-*
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pull_request:
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concurrency:
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group: ${{ github.workflow }}-${{ github.head_ref || github.run_id }}
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cancel-in-progress: true
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jobs:
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Onnxruntime-TVM:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v3
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with:
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submodules: true
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- uses: actions/setup-python@v3
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with:
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python-version: '3.8.x'
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architecture: 'x64'
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- name: 'Setup TVM EP requirements'
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run: |
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set -e -x
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sudo apt-get update
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sudo apt-get install -y libtinfo-dev zlib1g-dev build-essential libedit-dev libxml2-dev nasm
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python3 -m pip install -r ${{ github.workspace }}/tools/ci_build/github/linux/tvm/requirements.txt
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- name: 'Build and Test'
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run: |
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python3 ${{ github.workspace }}/tools/ci_build/build.py --build_dir build --config Release --skip_submodule_sync --parallel --enable_pybind --disable_contrib_ops --disable_ml_ops --skip_onnx_tests --use_tvm --use_tvm_hash --ctest_path ""
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