NVIDIA PyTorch/CUDA Job #24
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| name: NVIDIA PyTorch Job | ||
| on: | ||
| workflow_dispatch: | ||
| inputs: | ||
| script_content: | ||
| description: 'Content of Python script' | ||
| required: true | ||
| type: string | ||
| filename: | ||
| description: 'Name of Python script' | ||
| required: true | ||
| type: string | ||
| jobs: | ||
| train: | ||
| runs-on: [gpumode-nvidia-arc] | ||
| timeout-minutes: 10 | ||
| container: | ||
| image: nvidia/cuda:12.4.0-devel-ubuntu22.04 | ||
| steps: | ||
| - name: Setup Python | ||
| uses: actions/setup-python@v4 | ||
| with: | ||
| python-version: '3.10' | ||
| uses: astral-sh/setup-uv@v3 | ||
|
Check failure on line 27 in .github/workflows/nvidia_workflow.yml
|
||
| with: | ||
| version: "latest" | ||
| - name: Create script | ||
| shell: python | ||
| run: | | ||
| with open('${{ github.event.inputs.filename }}', 'w') as f: | ||
| f.write('''${{ github.event.inputs.script_content }}''') | ||
| - name: Install dependencies | ||
| run: | | ||
| # Check if 'import torch' is in any Python file | ||
| if grep -rE "(import torch|from torch)" "${{ github.event.inputs.filename }}"; then | ||
| echo "PyTorch detected, installing torch" | ||
| uv pip install numpy torch | ||
| fi | ||
| # Check if 'import triton' is in any Python file | ||
| if grep -rE "(import triton|from triton)" "${{ github.event.inputs.filename }}"; then | ||
| echo "Triton detected, installing triton" | ||
| uv pip install triton | ||
| fi | ||
| - name: Run script with profiler | ||
| run: | | ||
| # Run the script with NSight Compute profiler and save to CSV | ||
| # ncu --csv python "${{ github.event.inputs.filename }}" > profile_results.csv 2>&1 | ||
| # Also keep regular output in training.log | ||
| python "${{ github.event.inputs.filename }}" > training.log 2>&1 | ||
| - name: Upload training artifacts | ||
| uses: actions/upload-artifact@v4 | ||
| if: always() | ||
| with: | ||
| name: training-artifacts | ||
| path: | | ||
| training.log | ||
| # profile_results.csv | ||
| ${{ github.event.inputs.filename }} | ||
| env: | ||
| CUDA_VISIBLE_DEVICES: 0 # Make sure only one GPU is used for testing | ||
