Files
flash-attention-prebuild-wh…/.github/workflows/test-self-hosted.yml
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2025-05-17 03:43:50 +09:00

100 lines
3.9 KiB
YAML

name: "Test self-hosted runner"
on:
workflow_dispatch:
jobs:
docker:
runs-on:
- self-hosted
timeout-minutes: 10
container:
image: docker:dind
steps:
- run: ls
- run: pwd
test-build:
runs-on:
- self-hosted
timeout-minutes: 1000
strategy:
fail-fast: false
matrix:
flash-attn-version: ["2.4.3"]
python-version: ["3.12"]
torch-version: ["2.7.0"]
# https://developer.nvidia.com/cuda-toolkit-archive
cuda-version: ["12.8.1"]
container:
image: ubuntu:22.04
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
- uses: Jimver/cuda-toolkit@master
with:
cuda: ${{ matrix.cuda-version }}
linux-local-args: '["--toolkit"]'
method: "network"
- name: Set CUDA and PyTorch versions
run: |
echo "MATRIX_CUDA_VERSION=$(echo ${{ matrix.cuda-version }} | awk -F \. {'print $1 $2'})" >> $GITHUB_ENV
echo "MATRIX_TORCH_VERSION=$(echo ${{ matrix.torch-version }} | awk -F \. {'print $1 "." $2'})" >> $GITHUB_ENV
echo "CACHE_KEY=cuda-ext-${{ matrix.flash-attn-version }}-py${{ matrix.python-version }}-torch${{ matrix.torch-version }}-cuda${{ matrix.cuda-version }}" >> $GITHUB_ENV
- name: Install build dependencies
run: |
sudo apt install -y ninja-build clang
pip install -U pip setuptools==75.8.0 wheel setuptools packaging psutil
- name: Install PyTorch ${{ matrix.torch-version }}+cu${{ matrix.cuda-version }}
run: |
export TORCH_CUDA_VERSION=$(python -c "from os import environ as env; \
support_cuda_versions = { \
'2.0': [117, 118], \
'2.1': [118, 121], \
'2.2': [118, 121], \
'2.3': [118, 121], \
'2.4': [118, 121, 124], \
'2.5': [118, 121, 124], \
'2.6': [118, 124, 126], \
'2.7': [118, 126, 128], \
}; \
target_cuda_versions = support_cuda_versions[env['MATRIX_TORCH_VERSION']]; \
cuda_version = int(env['MATRIX_CUDA_VERSION']); \
closest_version = min(target_cuda_versions, key=lambda x: abs(x - cuda_version)); \
print(closest_version) \
")
pip install --no-cache-dir torch==${{ matrix.torch-version }} --index-url https://download.pytorch.org/whl/cu${TORCH_CUDA_VERSION}
nvcc --version
python -V
python -c "import torch; print('PyTorch:', torch.__version__)"
python -c "import torch; print('CUDA:', torch.version.cuda)"
python -c "from torch.utils import cpp_extension; print(cpp_extension.CUDA_HOME)"
- name: Checkout flash-attn
run: |
git clone https://github.com/Dao-AILab/flash-attention.git -b "v${{ matrix.flash-attn-version }}"
cd flash-attention
- name: Build wheels
timeout-minutes: 800
run: |
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
export MAX_JOBS=2
export NVCC_THREADS=2
export FLASH_ATTENTION_FORCE_BUILD="TRUE"
cd flash-attention
python setup.py bdist_wheel --dist-dir=dist
base_wheel_name=$(basename $(ls dist/*.whl | head -n 1))
wheel_name=$(echo $base_wheel_name | sed "s/${{ matrix.flash-attn-version }}/${{ matrix.flash-attn-version }}+cu${{ env.MATRIX_CUDA_VERSION }}torch${{ env.MATRIX_TORCH_VERSION }}/")
mv dist/$base_wheel_name dist/$wheel_name
echo "wheel_name=$wheel_name" >> $GITHUB_ENV
- name: Install Test
run: |
pip install flash-attention/dist/${{ env.wheel_name }}
python -c "import flash_attn; print(flash_attn.__version__)"