Fix cuda not being used on windows: update pytorch version (#6064) #394
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| name: colab | |
| on: | |
| pull_request: | |
| paths: # This action will only run if the PR modifies a file in one of these directories | |
| - 'ml-agents-envs/**' | |
| - 'gym-unity/**' | |
| - 'colab/**' | |
| - '.github/workflows/colab.yml' | |
| push: | |
| branches: | |
| - main | |
| - develop | |
| - 'release/**' | |
| workflow_dispatch: | |
| jobs: | |
| colab: | |
| runs-on: ubuntu-latest | |
| env: | |
| COLAB_ALWAYS_INSTALL_XVFB: 1 | |
| QLEARNING_NUM_TRAINING_STEPS: 5 | |
| QLEARNING_NUM_NEW_EXP: 64 | |
| QLEARNING_BUFFER_SIZE: 64 | |
| strategy: | |
| fail-fast: false | |
| matrix: | |
| notebook_path: [Colab_UnityEnvironment_1_Run.ipynb, Colab_UnityEnvironment_2_Train.ipynb, Colab_UnityEnvironment_3_SideChannel.ipynb] | |
| steps: | |
| - uses: actions/checkout@v2 | |
| - name: Set up Python | |
| uses: actions/setup-python@v2 | |
| with: | |
| python-version: 3.10.12 | |
| - uses: actions/setup-dotnet@v1 | |
| with: | |
| dotnet-version: '6.0.x' | |
| - name: Cache pip | |
| uses: actions/cache@v2 | |
| with: | |
| # This path is specific to Ubuntu | |
| path: ~/.cache/pip | |
| # Look to see if there is a cache hit for the corresponding requirements file | |
| key: ${{ runner.os }}-pip-${{ hashFiles('ml-agents/setup.py', 'ml-agents-envs/setup.py', 'gym-unity/setup.py', 'colab_requirements.txt') }} | |
| restore-keys: | | |
| ${{ runner.os }}-pip- | |
| ${{ runner.os }}- | |
| - name: Install dependencies | |
| run: | | |
| python -m pip install --upgrade pip | |
| python -m pip install --upgrade setuptools | |
| # Install the local checkouts of ml-agents. This will prevent the colab notebooks from installing a released version. | |
| python -m pip install --progress-bar=off -e ./ml-agents-envs | |
| python -m pip install --progress-bar=off -e ./ml-agents | |
| python -m pip install --progress-bar=off -r colab_requirements.txt | |
| - name: Execute notebook | |
| run: jupyter nbconvert --to notebook --execute --log-level=DEBUG --ExecutePreprocessor.kernel_name=python3 --output output-${{ matrix.notebook_path }} colab/${{ matrix.notebook_path }} | |
| - name: Upload colab results | |
| uses: actions/upload-artifact@v2 | |
| with: | |
| name: artifacts | |
| path: | | |
| colab/output-${{ matrix.notebook_path }} | |
| # Use always() to always run this step to publish execution results when there are failures | |
| if: ${{ always() }} |