163 lines
5.3 KiB
YAML
163 lines
5.3 KiB
YAML
# This workflow will upload a Python Package to Release asset
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# For more information see: https://help.github.com/en/actions/language-and-framework-guides/using-python-with-github-actions#publishing-to-package-registries
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name: Python Package
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on:
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create:
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tags:
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- '**'
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jobs:
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setup_release:
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name: Create Release
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runs-on: ubuntu-latest
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steps:
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- name: Get the tag version
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id: extract_branch
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run: echo ::set-output name=branch::${GITHUB_REF#refs/tags/}
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shell: bash
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- name: Create Release
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id: create_release
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uses: actions/create-release@v1
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env:
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GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
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with:
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tag_name: ${{ steps.extract_branch.outputs.branch }}
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release_name: ${{ steps.extract_branch.outputs.branch }}
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build_wheels:
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name: Build Wheel
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runs-on: ${{ matrix.os }}
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needs: setup_release
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strategy:
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fail-fast: false
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matrix:
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os: [ubuntu-20.04, ubuntu-22.04]
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#python-version: ['3.7', '3.8', '3.9', '3.10']
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python-version: ['3.10']
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torch-version: [1.11.0]
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cuda-version: ['113']
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#torch-version: [1.11.0, 1.12.0, 1.12.1]
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#cuda-version: ['113', '116']
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#exclude:
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# - torch-version: 1.11.0
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# cuda-version: '116'
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steps:
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- name: Checkout
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uses: actions/checkout@v3
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- name: Set up Python
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uses: actions/setup-python@v3
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with:
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python-version: ${{ matrix.python-version }}
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- name: Set up Linux Env
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if: ${{ runner.os == 'Linux' }}
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run: |
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sudo rm -rf /usr/share/dotnet
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bash .github/workflows/env.sh
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echo ${{ needs.create_release.outputs.upload_url }}
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echo ${{ needs.steps.extract_branch.outputs.upload_url }}
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shell:
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bash
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- name: Install CUDA ${{ matrix.cuda-version }}
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if: ${{ matrix.cuda-version != 'cpu' }}
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env:
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OS_VERSION: ${{ runner.release }}
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run: |
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bash .github/workflows/cuda/cu${{ matrix.cuda-version }}-${{ runner.os }}.sh
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shell:
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bash
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- name: Check GPU Env
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if: ${{ matrix.cuda-version != 'cpu' }}
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run: |
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source .github/workflows/cuda/cu${{ matrix.cuda-version }}-${{ runner.os }}-env.sh
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nvcc --version
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shell:
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bash
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- name: Install PyTorch ${{ matrix.torch-version }}+cu${{ matrix.cuda-version }}
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run: |
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pip install numpy pyyaml scipy ipython mkl mkl-include ninja cython typing pandas typing-extensions dataclasses && conda clean -ya
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pip install --no-index --no-cache-dir torch==${{ matrix.torch-version }} -f https://download.pytorch.org/whl/cu${{ matrix.cuda-version }}/torch_stable.html
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python --version
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python -c "import torch; print('PyTorch:', torch.__version__)"
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python -c "import torch; print('CUDA:', torch.version.cuda)"
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python -c "from torch.utils import cpp_extension; print (cpp_extension.CUDA_HOME)"
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shell:
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bash
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- name: Get the tag version
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id: extract_branch
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run: echo ::set-output name=branch::${GITHUB_REF#refs/tags/}
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- name: Get Release with tag
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id: get_current_release
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uses: joutvhu/get-release@v1
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with:
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tag_name: ${{ steps.extract_branch.outputs.branch }}
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env:
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GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
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- name: Build wheel
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run: |
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export FLASH_ATTENTION_FORCE_BUILD="TRUE"
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export FORCE_CUDA="1"
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export PATH=/usr/local/nvidia/bin:/usr/local/nvidia/lib64:$PATH
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export LD_LIBRARY_PATH=/usr/local/nvidia/lib64:/usr/local/cuda/lib64:$LD_LIBRARY_PATH
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export CUDA_INSTALL_DIR=/usr/local/cuda-11.3$CUDA_INSTALL_DIR
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pip install ninja packaging setuptools wheel
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python setup.py bdist_wheel --dist-dir=dist
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tmpname=cu${{ matrix.cuda-version }}torch${{ matrix.torch-version }}
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wheel_name=$(ls dist/*whl | xargs -n 1 basename | sed "s/-/+$tmpname-/2")
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ls dist/*whl |xargs -I {} mv {} dist/${wheel_name}
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echo "wheel_name=${wheel_name}" >> $GITHUB_ENV
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- name: Upload Release Asset
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id: upload_release_asset
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uses: actions/upload-release-asset@v1
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env:
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GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
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with:
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upload_url: ${{ steps.get_current_release.outputs.upload_url }}
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asset_path: ./dist/${{env.wheel_name}}
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asset_name: ${{env.wheel_name}}
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asset_content_type: application/*
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# publish_package:
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# name: Publish package
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# needs: [build_wheels]
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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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# - uses: actions/setup-python@v4
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# with:
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# python-version: '3.10'
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# - name: Install dependencies
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# run: |
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# pip install ninja packaging setuptools wheel twine
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# - name: Build core package
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# env:
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# FLASH_ATTENTION_SKIP_CUDA_BUILD: "TRUE"
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# run: |
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# python setup.py sdist --dist-dir=dist
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# - name: Deploy
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# env:
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# TWINE_USERNAME: ${{ secrets.PYPI_USERNAME }}
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# TWINE_PASSWORD: ${{ secrets.PYPI_TOKEN }}
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# run: |
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# python -m twine upload dist/*
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