GitAuto: 技術書展などに向けたドキュメント生成 #303
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| name: test-windows | |
| on: | |
| # push/ullrequest時にci実行 | |
| push: | |
| branches: [master] | |
| pull_request: | |
| paths-ignore: | |
| - '.gitignore' | |
| - 'LICENSE' | |
| - '**.md' | |
| # 環境変数 | |
| env: | |
| BRANCH_NAME : "master" | |
| jobs: | |
| build: | |
| name: MSBuild | |
| runs-on: windows-latest | |
| strategy: | |
| matrix: | |
| python-version: ['3.9', '3.10'] # [3.5, 3.6, 3.7, 3.8] | |
| steps: | |
| - name: checkout repository | |
| uses: actions/checkout@v3 | |
| with: | |
| path: target_dir | |
| - name: Set up Python ${{ matrix.python-version }} | |
| uses: actions/setup-python@v4 | |
| with: | |
| python-version: ${{ matrix.python-version }} | |
| - name: Install dependencies | |
| shell: powershell | |
| run: | | |
| git --version | |
| python --version | |
| python -m pip install --upgrade pip | |
| - name: tetris_sample | |
| # tetrisが動くかどうか確認(SCOREが入ればOK) | |
| shell: powershell | |
| working-directory: target_dir | |
| run: | | |
| # QT display off | |
| $Env:QT_QPA_PLATFORM = 'offscreen' | |
| # run tetris | |
| if( Test-Path .\requirements.txt ){ pip install -r requirements.txt } | |
| python start.py -m sample -t 3 -f $HOME/result.json | |
| - name: tetris_DQN_sample | |
| working-directory: target_dir | |
| shell: powershell | |
| run: | | |
| # QT display off | |
| $Env:QT_QPA_PLATFORM = 'offscreen' | |
| # run tetris | |
| if( Test-Path .\requirements.txt ){ pip install -r requirements.txt } | |
| if( Test-Path .\requirements.pytorch.txt ){ pip install -r requirements.pytorch.txt } | |
| python start.py -m predict_sample -l 2 -t 5 --predict_weight weight/DQN/sample_weight.pt -f $HOME/result_dqn.json | |
| - name: tetris_MLP_sample | |
| working-directory: target_dir | |
| shell: powershell | |
| run: | | |
| # QT display off | |
| $Env:QT_QPA_PLATFORM = 'offscreen' | |
| # run tetris | |
| if( Test-Path .\requirements.txt ){ pip install -r requirements.txt } | |
| if( Test-Path .\requirements.pytorch.txt ){ pip install -r requirements.pytorch.txt } | |
| python start.py -m predict_sample2 -l 2 -t 5 --predict_weight weight/MLP/sample_weight.pt -f $HOME/result_mlp.json | |