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sta packaging test

sta packaging test #13

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/**"
- ".github/workflows/publish.yml"
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-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: ${{ matrix.cuda-version }}
linux-local-args: '["--toolkit"]'
method: 'network'
#sub-packages: '["nvcc", "cusparse"]'
- name: Install dependencies (GCC, Clang, CUDA Paths, Git)
run: |
sudo apt update
sudo apt install -y git patchelf gcc-11 g++-11 clang-11
sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-11 100 --slave /usr/bin/g++ g++ /usr/bin/g++-11
# Allow Git to Access Safe Directory
git config --global --add safe.directory /__w/FastVideo/FastVideo
# Set CUDA environment variables
export CUDA_HOME=/usr/local/cuda-${{ 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==75.8.0
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