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tests.yml
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# This is a basic workflow to help you get started with Actions
name: Run tests
# Controls when the workflow will run
on:
# Triggers the workflow on push or pull request events but only for the main branch
push:
branches: [ main ]
pull_request:
branches: [ main ]
# Allows you to run this workflow manually from the Actions tab
workflow_dispatch:
jobs:
tests:
strategy:
fail-fast: false
matrix:
os: [ubuntu-latest]
runs-on: ${{ matrix.os }}
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: 3.9
- name: Install system dependencies
run: |
sudo apt-get update
sudo apt-get install -y build-essential
sudo apt-get install -y cuda-toolkit-11.2 # Adjust based on your CUDA version
sudo apt-get install -y libomp-dev # Optional for parallel builds
- name: Install Python dependencies
run: |
# Install numpy before torch to avoid missing numpy error
pip install numpy
# Install PyTorch with the specific version (with CUDA 11.2 support here)
pip install torch==2.4.0+cu121 # Modify for the correct CUDA version
# Install packaging, wheel, and other required libraries
pip install packaging wheel
# Install flash-attn with no build isolation
pip install flash-attn==2.6.3 --no-build-isolation
# Install the current package (from setup.py)
pip install .
# Install dev dependencies for testing
pip install -r requirements-dev.txt
# Hacky way to get package name from setup.py
- name: Get package name
id: get_package_name
run: |
setup_file="setup.py"
pattern="name="
project_name=$(grep -oP "(?<=${pattern}\")[^\"]+" $setup_file)
echo "::set-output name=package_name::$project_name"
- name: Run tests
run: |
pytest -v --cov-fail-under=60 --cov=${{ steps.get_package_name.outputs.package_name }} -l --tb=short --maxfail=1 tests/
coverage xml
coverage html