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sta pypi test

sta pypi test #42

Workflow file for this run

name: Build wheels and deploy
on:
push:
branches:
- you-pypi-packaging-1 # Runs only when pushing to main
paths:
- "csrc/sliding_tile_attention/setup.py"
jobs:
check-version-change:
runs-on: ubuntu-latest
outputs:
version-changed: ${{ steps.check-version.outputs.changed }}
new-version: ${{ steps.check-version.outputs.new-version }}
steps:
- name: Checkout code
uses: actions/checkout@v3
with:
fetch-depth: 2
- name: Check if version changed
id: check-version
run: |
cd csrc/sliding_tile_attention
# Get current commit's version
NEW_VERSION=$(grep -oP 'VERSION\s*=\s*"\K[^"]+' setup.py)
echo "New version: $NEW_VERSION"
# Get previous version from git history
OLD_VERSION=$(git show HEAD~1:./setup.py | grep -oP 'VERSION\s*=\s*"\K[^"]+' || echo "0.0.0")
echo "Old version: $OLD_VERSION"
if [ "$NEW_VERSION" != "$OLD_VERSION" ]; then
echo "Version changed from $OLD_VERSION to $NEW_VERSION"
echo "changed=true" >> $GITHUB_OUTPUT
echo "new-version=$NEW_VERSION" >> $GITHUB_OUTPUT
else
echo "Version did not change"
echo "changed=false" >> $GITHUB_OUTPUT
fi
publish_package:
name: Publish package
needs: check-version-change
# needs: [build_wheels]
if: needs.check-version-change.outputs.version-changed == 'true'
runs-on: ubuntu-22.04
permissions:
id-token: write # Needed for OIDC Trusted Publishing
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: '3.10'
- name: Install CUDA 12.4.1
uses: Jimver/[email protected]
id: cuda-toolkit
with:
cuda: 12.4.1
linux-local-args: '["--toolkit"]'
method: 'network'
sub-packages: '["nvcc"]'
- name: Install dependencies (GCC, Clang, CUDA Paths, Git)
run: |
sudo apt update
sudo apt install -y git patchelf gcc-11 g++-11 clang-11
sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-11 100 --slave /usr/bin/g++ g++ /usr/bin/g++-11
# Allow Git to Access Safe Directory
git config --global --add safe.directory /__w/FastVideo/FastVideo
# Set CUDA environment variables
export CUDA_HOME=/usr/local/cuda-12.4.1
export PATH=${CUDA_HOME}/bin:${PATH}
export LD_LIBRARY_PATH=${CUDA_HOME}/lib64:$LD_LIBRARY_PATH
# Verify installation
gcc --version
g++ --version
clang-11 --version
nvcc --version
- name: Install PyTorch 2.5.1+cu12.4.1
run: |
pip install --upgrade pip
# With python 3.13 and torch 2.5.1, unless we update typing-extensions, we get error
# AttributeError: attribute '__default__' of 'typing.ParamSpec' objects is not writable
pip install typing-extensions==4.12.2
# We want to figure out the CUDA version to download pytorch
# e.g. we can have system CUDA version being 11.7 but if torch==1.12 then we need to download the wheel from cu116
# see https://github.com/pytorch/pytorch/blob/main/RELEASE.md#release-compatibility-matrix
export TORCH_CUDA_VERSION=124
pip install --no-cache-dir torch==2.5.1 --index-url https://download.pytorch.org/whl/cu${TORCH_CUDA_VERSION}
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)"
- name: Build source distribution
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
pip install ninja packaging wheel
cd csrc/sliding_tile_attention # Move into the correct folder
git submodule update --init --recursive tk # Ensure ThunderKittens submodule is initialized
python setup.py sdist --dist-dir=dist
- name: Publish release distributions to PyPI
uses: pypa/gh-action-pypi-publish@release/v1
with:
packages-dir: csrc/sliding_tile_attention/dist/
build_wheels:
name: Build Wheel
needs: publish_package
# needs: check-version-change
if: needs.check-version-change.outputs.version-changed == 'true'
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-22.04]
python-version: ['3.10', '3.11', '3.12', '3.13']
torch-version: ['2.5.1', '2.6.0']
cuda-version: ['12.4.1', '12.5.1', '12.6.3']
steps:
- name: Checkout
uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
- name: Install CUDA ${{ matrix.cuda-version }}
uses: Jimver/[email protected]
id: cuda-toolkit
with:
cuda: ${{ matrix.cuda-version }}
linux-local-args: '["--toolkit"]'
method: 'network'
- name: Install dependencies (GCC, Clang, CUDA Paths, Git)
run: |
sudo apt update
sudo apt install -y git patchelf gcc-11 g++-11 clang-11
sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-11 100 --slave /usr/bin/g++ g++ /usr/bin/g++-11
# Allow Git to Access Safe Directory
git config --global --add safe.directory /__w/FastVideo/FastVideo
# Set CUDA environment variables
export CUDA_HOME=/usr/local/cuda-${{ matrix.cuda-version }}
export PATH=${CUDA_HOME}/bin:${PATH}
export LD_LIBRARY_PATH=${CUDA_HOME}/lib64:$LD_LIBRARY_PATH
# Verify installation
gcc --version
g++ --version
clang-11 --version
nvcc --version
- name: Install PyTorch ${{ matrix.torch-version }}+cu${{ matrix.cuda-version }}
run: |
pip install --upgrade pip
# With python 3.13 and torch 2.5.1, unless we update typing-extensions, we get error
# AttributeError: attribute '__default__' of 'typing.ParamSpec' objects is not writable
pip install typing-extensions==4.12.2
# 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
export TORCH_CUDA_VERSION=124
pip install --no-cache-dir torch==${{ matrix.torch-version }} --index-url https://download.pytorch.org/whl/cu${TORCH_CUDA_VERSION}
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)"
- 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
pip install ninja packaging wheel
cd csrc/sliding_tile_attention # Move into the correct folder
git submodule update --init --recursive tk # Ensure ThunderKittens submodule is initialized
python setup.py bdist_wheel --dist-dir=dist
- name: Rename wheel file
run: |
cd csrc/sliding_tile_attention
CUDA_SHORT_VERSION=$(echo ${{ matrix.cuda-version }} | cut -d. -f1,2 | sed 's/\.//g')
TORCH_SHORT_VERSION=$(echo ${{ matrix.torch-version }} | cut -d. -f1,2)
# Get the correct version format
tmpname=cu${CUDA_SHORT_VERSION}torch${TORCH_SHORT_VERSION}
wheel_name=$(ls dist/*whl | xargs -n 1 basename | sed "s/-/+$tmpname-/2")
# Rename with version information
ls dist/*whl |xargs -I {} mv {} dist/${wheel_name}
echo "wheel_name=${wheel_name}" >> $GITHUB_ENV
- name: Upload wheel artifact
uses: actions/upload-artifact@v4
with:
name: ${{ env.wheel_name }}
path: csrc/sliding_tile_attention/dist/*.whl
retention-days: 1