Workaround for nvidia issue where VAE uses 3x more memory on torch 2.… #1376
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| name: Unit Tests | |
| on: | |
| push: | |
| branches: [ main, master ] | |
| pull_request: | |
| branches: [ main, master ] | |
| jobs: | |
| test: | |
| strategy: | |
| matrix: | |
| os: [ubuntu-latest, windows-2022, macos-latest] | |
| runs-on: ${{ matrix.os }} | |
| continue-on-error: true | |
| steps: | |
| - uses: actions/checkout@v4 | |
| - name: Set up Python | |
| uses: actions/setup-python@v4 | |
| with: | |
| python-version: '3.12' | |
| - name: Install requirements | |
| run: | | |
| python -m pip install --upgrade pip | |
| pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu | |
| pip install -r requirements.txt | |
| - name: Run Unit Tests | |
| run: | | |
| pip install -r tests-unit/requirements.txt | |
| python -m pytest tests-unit |