Build wheels and deploy #6
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# This workflow will: | |
# - Create a new Github release | |
# - Build wheels for supported architectures | |
# - Deploy the wheels to the Github release | |
# - Release the static code to PyPi | |
# For more information see: https://help.github.com/en/actions/language-and-framework-guides/using-python-with-github-actions#publishing-to-package-registries | |
name: Build wheels and deploy | |
on: | |
create: | |
tags: | |
- v* | |
jobs: | |
setup_release: | |
name: Create Release | |
runs-on: ubuntu-latest | |
steps: | |
- name: Get the tag version | |
id: extract_branch | |
run: echo ::set-output name=branch::${GITHUB_REF#refs/tags/} | |
shell: bash | |
- name: Create Release | |
id: create_release | |
uses: actions/create-release@v1 | |
env: | |
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} | |
with: | |
tag_name: ${{ steps.extract_branch.outputs.branch }} | |
release_name: ${{ steps.extract_branch.outputs.branch }} | |
build_wheels: | |
name: Build Wheel | |
needs: setup_release | |
runs-on: ${{ matrix.os }} | |
strategy: | |
fail-fast: false | |
matrix: | |
# Using ubuntu-20.04 instead of 22.04 for more compatibility (glibc). Ideally we'd use the | |
# manylinux docker image, but I haven't figured out how to install CUDA on manylinux. | |
os: [ubuntu-20.04] | |
python-version: ['3.7', '3.8', '3.9', '3.10', '3.11'] | |
torch-version: ['1.12.1', '1.13.1', '2.0.1', '2.1.2', '2.2.0', '2.3.0.dev20240105'] | |
cuda-version: ['11.8.0', '12.2.2'] | |
# We need separate wheels that either uses C++11 ABI (-D_GLIBCXX_USE_CXX11_ABI) or not. | |
# Pytorch wheels currently don't use it, but nvcr images have Pytorch compiled with C++11 ABI. | |
# Without this we get import error (undefined symbol: _ZN3c105ErrorC2ENS_14SourceLocationESs) | |
# when building without C++11 ABI and using it on nvcr images. | |
cxx11_abi: ['FALSE', 'TRUE'] | |
exclude: | |
# see https://github.com/pytorch/pytorch/blob/main/RELEASE.md#release-compatibility-matrix | |
# Pytorch <= 1.12 does not support Python 3.11 | |
- torch-version: '1.12.1' | |
python-version: '3.11' | |
# Pytorch >= 2.0 only supports Python >= 3.8 | |
- torch-version: '2.0.1' | |
python-version: '3.7' | |
- torch-version: '2.1.2' | |
python-version: '3.7' | |
- torch-version: '2.2.0' | |
python-version: '3.7' | |
- torch-version: '2.3.0.dev20240105' | |
python-version: '3.7' | |
# Pytorch <= 2.0 only supports CUDA <= 11.8 | |
- torch-version: '1.12.1' | |
cuda-version: '12.2.2' | |
- torch-version: '1.13.1' | |
cuda-version: '12.2.2' | |
- torch-version: '2.0.1' | |
cuda-version: '12.2.2' | |
steps: | |
- name: Checkout | |
uses: actions/checkout@v3 | |
- name: Set up Python | |
uses: actions/setup-python@v4 | |
with: | |
python-version: ${{ matrix.python-version }} | |
- name: Set CUDA and PyTorch versions | |
run: | | |
echo "MATRIX_CUDA_VERSION=$(echo ${{ matrix.cuda-version }} | awk -F \. {'print $1 $2'})" >> $GITHUB_ENV | |
echo "MATRIX_TORCH_VERSION=$(echo ${{ matrix.torch-version }} | awk -F \. {'print $1 "." $2'})" >> $GITHUB_ENV | |
echo "MATRIX_PYTHON_VERSION=$(echo ${{ matrix.python-version }} | awk -F \. {'print $1 $2'})" >> $GITHUB_ENV | |
- name: Free up disk space | |
if: ${{ runner.os == 'Linux' }} | |
# https://github.com/easimon/maximize-build-space/blob/master/action.yml | |
# https://github.com/easimon/maximize-build-space/tree/test-report | |
run: | | |
sudo rm -rf /usr/share/dotnet | |
sudo rm -rf /opt/ghc | |
sudo rm -rf /opt/hostedtoolcache/CodeQL | |
- name: Set up swap space | |
if: runner.os == 'Linux' | |
uses: pierotofy/set-swap-space@v1.0 | |
with: | |
swap-size-gb: 10 | |
- name: Install CUDA ${{ matrix.cuda-version }} | |
if: ${{ matrix.cuda-version != 'cpu' }} | |
uses: Jimver/cuda-toolkit@v0.2.14 | |
id: cuda-toolkit | |
with: | |
cuda: ${{ matrix.cuda-version }} | |
linux-local-args: '["--toolkit"]' | |
# default method is "local", and we're hitting some error with caching for CUDA 11.8 and 12.1 | |
# method: ${{ (matrix.cuda-version == '11.8.0' || matrix.cuda-version == '12.1.0') && 'network' || 'local' }} | |
method: 'network' | |
# We need the cuda libraries (e.g. cuSparse, cuSolver) for compiling PyTorch extensions, | |
# not just nvcc | |
# sub-packages: '["nvcc"]' | |
- name: Install PyTorch ${{ matrix.torch-version }}+cu${{ matrix.cuda-version }} | |
run: | | |
pip install --upgrade pip | |
# If we don't install before installing Pytorch, we get error for torch 2.0.1 | |
# ERROR: Could not find a version that satisfies the requirement setuptools>=40.8.0 (from versions: none) | |
pip install lit | |
# We want to figure out the CUDA version to download pytorch | |
# e.g. we can have system CUDA version being 11.7 but if torch==1.12 then we need to download the wheel from cu116 | |
# see https://github.com/pytorch/pytorch/blob/main/RELEASE.md#release-compatibility-matrix | |
# This code is ugly, maybe there's a better way to do this. | |
export TORCH_CUDA_VERSION=$(python -c "from os import environ as env; \ | |
minv = {'1.12': 113, '1.13': 116, '2.0': 117, '2.1': 118, '2.2': 118, '2.3': 118}[env['MATRIX_TORCH_VERSION']]; \ | |
maxv = {'1.12': 116, '1.13': 117, '2.0': 118, '2.1': 121, '2.2': 121, '2.3': 121}[env['MATRIX_TORCH_VERSION']]; \ | |
print(max(min(int(env['MATRIX_CUDA_VERSION']), maxv), minv))" \ | |
) | |
if [[ ${{ matrix.torch-version }} == *"dev"* ]]; then | |
if [[ ${MATRIX_TORCH_VERSION} == "2.2" ]]; then | |
# --no-deps because we can't install old versions of pytorch-triton | |
pip install typing-extensions jinja2 | |
pip install --no-cache-dir --no-deps --pre https://download.pytorch.org/whl/nightly/cu${TORCH_CUDA_VERSION}/torch-${{ matrix.torch-version }}%2Bcu${TORCH_CUDA_VERSION}-cp${MATRIX_PYTHON_VERSION}-cp${MATRIX_PYTHON_VERSION}-linux_x86_64.whl | |
else | |
pip install --no-cache-dir --pre torch==${{ matrix.torch-version }} --index-url https://download.pytorch.org/whl/nightly/cu${TORCH_CUDA_VERSION} | |
fi | |
else | |
pip install --no-cache-dir torch==${{ matrix.torch-version }} --index-url https://download.pytorch.org/whl/cu${TORCH_CUDA_VERSION} | |
fi | |
nvcc --version | |
python --version | |
python -c "import torch; print('PyTorch:', torch.__version__)" | |
python -c "import torch; print('CUDA:', torch.version.cuda)" | |
python -c "from torch.utils import cpp_extension; print (cpp_extension.CUDA_HOME)" | |
shell: | |
bash | |
- name: Build wheel | |
run: | | |
# We want setuptools >= 49.6.0 otherwise we can't compile the extension if system CUDA version is 11.7 and pytorch cuda version is 11.6 | |
# https://github.com/pytorch/pytorch/blob/664058fa83f1d8eede5d66418abff6e20bd76ca8/torch/utils/cpp_extension.py#L810 | |
# However this still fails so I'm using a newer version of setuptools | |
pip install setuptools==68.0.0 | |
pip install ninja packaging wheel | |
export PATH=/usr/local/nvidia/bin:/usr/local/nvidia/lib64:$PATH | |
export LD_LIBRARY_PATH=/usr/local/nvidia/lib64:/usr/local/cuda/lib64:$LD_LIBRARY_PATH | |
# Limit MAX_JOBS otherwise the github runner goes OOM | |
MAX_JOBS=2 FLASH_ATTENTION_FORCE_BUILD="TRUE" FLASH_ATTENTION_FORCE_CXX11_ABI=${{ matrix.cxx11_abi}} python setup.py bdist_wheel --dist-dir=dist | |
tmpname=cu${MATRIX_CUDA_VERSION}torch${MATRIX_TORCH_VERSION}cxx11abi${{ matrix.cxx11_abi }} | |
wheel_name=$(ls dist/*whl | xargs -n 1 basename | sed "s/-/+$tmpname-/2") | |
ls dist/*whl |xargs -I {} mv {} dist/${wheel_name} | |
echo "wheel_name=${wheel_name}" >> $GITHUB_ENV | |
- name: Log Built Wheels | |
run: | | |
ls dist | |
- name: Get the tag version | |
id: extract_branch | |
run: echo ::set-output name=branch::${GITHUB_REF#refs/tags/} | |
- name: Get Release with tag | |
id: get_current_release | |
uses: joutvhu/get-release@v1 | |
with: | |
tag_name: ${{ steps.extract_branch.outputs.branch }} | |
env: | |
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} | |
- name: Upload Release Asset | |
id: upload_release_asset | |
uses: actions/upload-release-asset@v1 | |
env: | |
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} | |
with: | |
upload_url: ${{ steps.get_current_release.outputs.upload_url }} | |
asset_path: ./dist/${{env.wheel_name}} | |
asset_name: ${{env.wheel_name}} | |
asset_content_type: application/* | |
publish_package: | |
name: Publish package | |
needs: [build_wheels] | |
runs-on: ubuntu-latest | |
steps: | |
- uses: actions/checkout@v3 | |
- uses: actions/setup-python@v4 | |
with: | |
python-version: '3.10' | |
- name: Install dependencies | |
run: | | |
pip install ninja packaging setuptools wheel twine | |
# We don't want to download anything CUDA-related here | |
pip install torch --index-url https://download.pytorch.org/whl/cpu | |
- name: Build core package | |
env: | |
FLASH_ATTENTION_SKIP_CUDA_BUILD: "TRUE" | |
run: | | |
python setup.py sdist --dist-dir=dist | |
- name: Deploy | |
env: | |
TWINE_USERNAME: "__token__" | |
TWINE_PASSWORD: ${{ secrets.PYPI_API_TOKEN }} | |
run: | | |
python -m twine upload dist/* |