update /third_party #235
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| # This workflow will install Python dependencies, run tests and lint with a variety of Python versions | |
| # For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions | |
| name: Push CPU Binary Release | |
| on: | |
| # # For debugging, enable push/pull_request | |
| # [push, pull_request] | |
| # # run every day at 10:45 AM | |
| # schedule: | |
| # - cron: '45 10 * * *' | |
| # # or manually trigger it | |
| # workflow_dispatch: | |
| jobs: | |
| # build, test, and upload to GHA on cpu hosts | |
| build_test_upload: | |
| runs-on: ${{ matrix.os }} | |
| strategy: | |
| matrix: | |
| include: | |
| - os: linux.2xlarge | |
| python-version: 3.7 | |
| python-tag: "py37" | |
| cuda-tag: "cpu" | |
| - os: linux.2xlarge | |
| python-version: 3.8 | |
| python-tag: "py38" | |
| cuda-tag: "cpu" | |
| - os: linux.2xlarge | |
| python-version: 3.9 | |
| python-tag: "py39" | |
| cuda-tag: "cpu" | |
| steps: | |
| # Checkout the repository to the GitHub Actions runner | |
| - name: Check ldd --version | |
| run: ldd --version | |
| - name: Checkout | |
| uses: actions/checkout@v2 | |
| with: | |
| submodules: true | |
| # Update references | |
| - name: Git Sumbodule Update | |
| run: | | |
| cd fbgemm_gpu/ | |
| git submodule sync | |
| git submodule update --init --recursive | |
| - name: Update pip | |
| run: | | |
| sudo yum update -y | |
| sudo yum -y install git python3-pip | |
| sudo pip3 install --upgrade pip | |
| - name: Setup conda | |
| run: | | |
| wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O ~/miniconda.sh | |
| bash ~/miniconda.sh -b -p $HOME/miniconda -u | |
| - name: Setup PATH with conda | |
| run: | | |
| echo "/home/ec2-user/miniconda/bin" >> $GITHUB_PATH | |
| echo "CONDA=/home/ec2-user/miniconda" >> $GITHUB_PATH | |
| - name: Create conda env | |
| run: | | |
| conda create --name build_binary python=${{ matrix.python-version }} | |
| conda info | |
| - name: check python version | |
| run: | | |
| conda run -n build_binary python --version | |
| - name: Install gcc | |
| shell: bash | |
| run: | | |
| sudo yum group install -y "Development Tools" | |
| - name: setup Path | |
| run: | | |
| echo /usr/local/bin >> $GITHUB_PATH | |
| - name: Install PyTorch | |
| shell: bash | |
| run: | | |
| conda run -n build_binary \ | |
| python -m pip install --pre torch -f https://download.pytorch.org/whl/test/cpu/torch_test.html | |
| - name: Install Dependencies | |
| shell: bash | |
| run: | | |
| cd fbgemm_gpu/ | |
| conda run -n build_binary python -m pip install -r requirements.txt | |
| - name: Test Installation of dependencies | |
| run: | | |
| cd fbgemm_gpu/ | |
| conda run -n build_binary python -c "import torch.distributed" | |
| echo "torch.distributed succeeded" | |
| conda run -n build_binary python -c "import skbuild" | |
| echo "skbuild succeeded" | |
| conda run -n build_binary python -c "import numpy" | |
| echo "numpy succeeded" | |
| - name: Build FBGEMM_GPU Release | |
| run: | | |
| cd fbgemm_gpu/ | |
| rm -r dist || true | |
| # buld cuda7.0;8.0 for v100/a100 arch: | |
| # Couldn't build more cuda arch due to 100 MB binary size limit from | |
| # pypi website. | |
| # manylinux1_x86_64 is specified for pypi upload: | |
| # distribute python extensions as wheels on Linux | |
| conda run -n build_binary \ | |
| python setup.py bdist_wheel \ | |
| --package_name=fbgemm_gpu-cpu \ | |
| --python-tag=${{ matrix.python-tag }} \ | |
| --cpu_only \ | |
| --plat-name=manylinux1_x86_64 | |
| ls -lt dist/*.whl | |
| - name: Upload wheel as GHA artifact | |
| uses: actions/upload-artifact@v2 | |
| with: | |
| name: fbgemm_gpu_cpu_${{ matrix.python-version }}_${{ matrix.cuda-tag }}.whl | |
| path: fbgemm_gpu/dist/fbgemm_gpu_cpu-*.whl | |
| - name: Install Dependencies | |
| shell: bash | |
| run: | | |
| cd fbgemm_gpu/ | |
| conda run -n build_binary python -m pip install -r requirements.txt | |
| - name: Test Installation of dependencies | |
| run: | | |
| cd fbgemm_gpu/ | |
| conda run -n build_binary python -c "import torch.distributed" | |
| echo "torch.distributed succeeded" | |
| conda run -n build_binary python -c "import skbuild" | |
| echo "skbuild succeeded" | |
| conda run -n build_binary python -c "import numpy" | |
| echo "numpy succeeded" | |
| - name: Install FBGEMM_GPU Release (CPU version) | |
| run: | | |
| conda run -n build_binary \ | |
| python -m pip install fbgemm_gpu/dist/fbgemm_gpu_cpu-*.whl | |
| - name: Test fbgemm_gpu installation | |
| shell: bash | |
| run: | | |
| conda run -n build_binary \ | |
| python -c "import fbgemm_gpu" | |
| - name: Test with pytest | |
| # remove this line when we fixed all the unit tests | |
| continue-on-error: true | |
| run: | | |
| conda run -n build_binary \ | |
| python -m pip install pytest | |
| # The tests with single CPU core on a less powerful testing GPU in GHA | |
| # can take 5 hours. | |
| timeout 600s conda run -n build_binary \ | |
| python -m pytest -v -s -W ignore::pytest.PytestCollectionWarning --continue-on-collection-errors | |
| # Push to Pypi | |
| - name: Push FBGEMM_GPU Binary to PYPI | |
| env: | |
| PYPI_TOKEN: ${{ secrets.PYPI_TOKEN }} | |
| run: | | |
| conda run -n build_binary python -m pip install twine | |
| # Official PYPI website | |
| conda run -n build_binary \ | |
| python -m twine upload \ | |
| --username __token__ \ | |
| --password "$PYPI_TOKEN" \ | |
| --skip-existing \ | |
| --verbose \ | |
| fbgemm_gpu/dist/fbgemm_gpu_cpu-*.whl |