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Delaunay Lifting (pointcloud2graph) with new ShapeNet dataset #345

Delaunay Lifting (pointcloud2graph) with new ShapeNet dataset

Delaunay Lifting (pointcloud2graph) with new ShapeNet dataset #345

Workflow file for this run

name: "Testing Codebase"
on:
workflow_dispatch:
push:
branches: [main,github-actions-test]
paths-ignore:
- 'docs/**'
- 'README.md'
- 'LICENSE.txt'
- '.gitignore'
pull_request:
branches: [main]
paths-ignore:
- 'docs/**'
- 'README.md'
- 'LICENSE.txt'
- '.gitignore'
jobs:
pytest:
runs-on: ${{ matrix.os }}
strategy:
fail-fast: false
matrix:
os: [ubuntu-latest]
python-version: ["3.10", "3.11"]
torch-version: [2.0.1]
include:
- torch-version: 2.0.1
steps:
- uses: actions/checkout@v3
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v4
with:
python-version: ${{ matrix.python-version }}
cache: "pip"
cache-dependency-path: '**/pyproject.toml'
- name: Install PyTorch ${{ matrix.torch-version }}+cpu
run: |
pip install --upgrade pip setuptools wheel
pip install torch==${{ matrix.torch-version}} --extra-index-url https://download.pytorch.org/whl/cpu
pip install torch-scatter -f https://data.pyg.org/whl/torch-${{ matrix.torch-version }}+cpu.html
pip install torch-sparse -f https://data.pyg.org/whl/torch-${{ matrix.torch-version }}+cpu.html
pip install torch-cluster -f https://data.pyg.org/whl/torch-${{ matrix.torch-version }}+cpu.html
pip show pip
- name: Install main package
run: |
pip install -e .[all]
- name: Run tests for codebase [pytest]
run: |
pytest -n 2 --cov --cov-report=xml:coverage.xml test/transforms/feature_liftings test/transforms/liftings
- name: Upload coverage
uses: codecov/codecov-action@v3
with:
token: ${{ secrets.CODECOV_TOKEN }}
file: coverage.xml
fail_ci_if_error: false