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|
name: Full Testing
on: # yamllint disable-line rule:truthy
workflow_dispatch:
schedule:
- cron: "0 6 * * *" # Everyday at 6:00am UTC/10:00pm PST
jobs:
full_pytest:
if: github.repository == 'pyg-team/pytorch_geometric'
runs-on: ${{ matrix.os }}
strategy:
max-parallel: 10
fail-fast: false
matrix:
os: [ubuntu-latest, windows-latest, macos-14]
python-version: ['3.10']
torch-version: [2.6.0, 2.7.0, 2.8.0, nightly]
include:
- torch-version: 2.6.0
torchvision-version: 0.21.0
- torch-version: 2.7.0
torchvision-version: 0.22.0
- torch-version: 2.8.0
torchvision-version: 0.23.0
- torch-version: nightly
torchvision-version: nightly
steps:
- name: Checkout repository
uses: actions/checkout@v5
- name: Setup packages
uses: ./.github/actions/setup
with:
python-version: ${{ matrix.python-version }}
torch-version: ${{ matrix.torch-version }}
torchvision-version: ${{ matrix.torchvision-version }}
- name: Install graphviz
if: ${{ runner.os == 'Linux' }}
run: |
sudo apt-get install graphviz
- name: Install main package (torch!=nightly)
if: ${{ matrix.torch-version != 'nightly' }}
run: |
echo "torch==${{ matrix.torch-version }}" > requirements-constraint.txt
uv pip install -e ".[full,test]" --constraint requirements-constraint.txt
shell: bash
- name: Install main package (torch==nightly)
if: ${{ matrix.torch-version == 'nightly' }}
run: |
uv pip install -e ".[full,test]"
shell: bash
- name: Check installation
run: |
uv run --no-project python -c "import torch; print('PyTorch:', torch.__version__)"
uv run --no-project python -c "import torch; print('CUDA available:', torch.cuda.is_available())"
uv run --no-project python -c "import torch; print('CUDA:', torch.version.cuda)"
shell: bash
- name: Run tests
timeout-minutes: 20
run: |
FULL_TEST=1 uv run --no-project pytest --cov --cov-report=xml --durations 10
shell: bash
- name: Upload coverage
uses: codecov/codecov-action@v5
with:
fail_ci_if_error: false
|
