Add latest AWQ CUDA fp16 int4 kernels #63
Workflow file for this run
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| name: Linux CUDA tests | |
| on: | |
| push: | |
| branches: | |
| - main | |
| paths: | |
| - "quanto/**" | |
| - "test/**" | |
| - "pyproject.toml" | |
| - "setup.py" | |
| pull_request: | |
| types: [assigned, opened, synchronize, reopened] | |
| paths: | |
| - "quanto/**" | |
| - "test/**" | |
| - "pyproject.toml" | |
| - "setup.py" | |
| jobs: | |
| conventional-commits: | |
| uses: ./.github/workflows/conventional-commits.yml | |
| python-quality: | |
| uses: ./.github/workflows/python-quality.yml | |
| test-ubuntu-cuda: | |
| needs: [conventional-commits, python-quality] | |
| runs-on: [self-hosted, single-gpu , nvidia-gpu, a10, ci] | |
| strategy: | |
| fail-fast: false | |
| matrix: | |
| cuda-version: ["11.8", "12.1"] | |
| container: | |
| image: pytorch/pytorch:2.2.1-cuda${{ matrix.cuda-version }}-cudnn8-devel | |
| steps: | |
| - uses: actions/checkout@v2 | |
| - name: Check CUDA installation | |
| run: | | |
| nvcc -V | |
| - name: Build and install quanto | |
| run: | | |
| pip install --upgrade pip | |
| pip install .[dev] | |
| - name: Run tests | |
| run: | | |
| python -m pytest test |