Training Workflow #69
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| name: Training Workflow | |
| on: | |
| workflow_dispatch: | |
| inputs: | |
| script_content: | |
| description: 'Content of training script (Python or CUDA)' | |
| required: true | |
| type: string | |
| script_type: | |
| description: 'Script type (py or cu)' | |
| required: true | |
| type: choice | |
| options: | |
| - py | |
| - cu | |
| jobs: | |
| train: | |
| runs-on: ubuntu-latest | |
| steps: | |
| - name: Set up environment variables | |
| run: | | |
| echo "SCRIPT_FILE=train.${{ inputs.script_type }}" >> $GITHUB_ENV | |
| echo "OUTPUT_FILE=training.log" >> $GITHUB_ENV | |
| - name: Install Python dependencies | |
| if: inputs.script_type == 'py' | |
| run: | | |
| pip install numpy | |
| # Add other Python dependencies as needed | |
| - name: Install CUDA dependencies | |
| if: inputs.script_type == 'cu' | |
| run: | | |
| sudo apt-get update | |
| sudo apt-get install -y nvidia-cuda-toolkit | |
| nvcc --version | |
| - name: Create training script | |
| run: | | |
| echo "${{ inputs.script_content }}" > ${{ env.SCRIPT_FILE }} | |
| cat ${{ env.SCRIPT_FILE }} # Debug: print the content | |
| - name: Compile and run CUDA script | |
| if: inputs.script_type == 'cu' | |
| run: | | |
| nvcc ${{ env.SCRIPT_FILE }} -o train_cuda | |
| ./train_cuda > ${{ env.OUTPUT_FILE }} 2>&1 | |
| - name: Run Python script | |
| if: inputs.script_type == 'py' | |
| run: | | |
| python ${{ env.SCRIPT_FILE }} > ${{ env.OUTPUT_FILE }} 2>&1 | |
| - name: Upload logs | |
| uses: actions/upload-artifact@v3 | |
| if: always() | |
| with: | |
| name: training-logs | |
| path: ${{ env.OUTPUT_FILE }} |