Update environment.yml #4
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| name: McDevol_GPU | |
| on: | |
| push: | |
| branches: [ main ] | |
| pull_request: | |
| branches: [ main ] | |
| jobs: | |
| gpu-job: | |
| runs-on: [self-hosted, gpu] | |
| steps: | |
| - uses: actions/checkout@v4 | |
| - name: Set up Conda environment | |
| uses: conda-incubator/setup-miniconda@v3 | |
| with: | |
| activate-environment: mcdevol_env | |
| environment-file: environment.yml | |
| auto-activate-base: false | |
| - name: Install CUDA and cuDNN | |
| run: | | |
| conda install -c conda-forge cudatoolkit=11.0 cudnn=8.9 | |
| - name: Verify GPU availabilityyour_gpu_script.py | |
| run: | | |
| python -c "import tensorflow as tf; print(tf.config.list_physical_devices('GPU'))" | |
| python -c "import torch; print(torch.cuda.is_available())" | |
| - name: Run your GPU-dependent script | |
| run: | | |
| # Replace this with your actual script that uses GPU | |
| python mcdevol/mcdevol.py -h |