NVIDIA PyTorch/CUDA Job #136
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name: NVIDIA PyTorch/CUDA Job | |
on: | |
workflow_dispatch: | |
inputs: | |
script_content: | |
description: 'Content of Python/CUDA script (.py or .cu file)' | |
required: true | |
type: string | |
filename: | |
description: 'Name of script (supports .py or .cu)' | |
required: true | |
type: string | |
reference_content: | |
description: 'Content of the reference code script (optional)' | |
required: false | |
type: string | |
reference_filename: | |
description: 'Name of reference script (supports .py or .cu)' | |
required: false | |
type: string | |
eval_content: | |
description: 'Content of the outer eval code script (optional)' | |
required: false | |
type: string | |
eval_filename: | |
description: 'Name of outer eval script (supports .py or .cu)' | |
required: false | |
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@v5 | |
with: | |
python-version: '3.10' | |
- name: Install uv | |
uses: astral-sh/setup-uv@v3 | |
with: | |
version: "latest" | |
- name: Setup Python environment | |
run: | | |
uv venv .venv | |
echo "VIRTUAL_ENV=$PWD/.venv" >> $GITHUB_ENV | |
echo "$PWD/.venv/bin" >> $GITHUB_PATH | |
- name: Create script file | |
shell: bash | |
run: | | |
cat << 'EOL' > ${{ github.event.inputs.filename }} | |
${{ github.event.inputs.script_content }} | |
EOL | |
cat ${{ github.event.inputs.filename }} # Debug: show file contents | |
- name: Create reference scripts if provided | |
shell: bash | |
run: | | |
if [[ -n "${{ github.event.inputs.reference_filename }}" ]]; then | |
echo "Creating reference script..." | |
cat > "${{ github.event.inputs.reference_filename }}" <<EOL | |
${{ github.event.inputs.reference_content }} | |
EOL | |
cat "${{ github.event.inputs.reference_filename }}" # Debug: Show file contents | |
else | |
echo "No reference content provided." | |
fi | |
- name: Create eval scripts if provided | |
shell: bash | |
run: | | |
if [[ -n "${{ github.event.inputs.eval_filename }}" ]]; then | |
echo "Creating eval script..." | |
cat > "${{ github.event.inputs.eval_filename }}" <<EOL | |
${{ github.event.inputs.eval_content }} | |
EOL | |
cat "${{ github.event.inputs.eval_filename }}" # Debug: Show file contents | |
else | |
echo "No eval content provided." | |
fi | |
- name: Install dependencies | |
run: | | |
if grep -rE "(import torch|from torch)" "${{ github.event.inputs.filename }}"; then | |
echo "PyTorch detected, installing torch" | |
uv pip install numpy torch | |
fi | |
if grep -rE "(import triton|from triton)" "${{ github.event.inputs.filename }}"; then | |
echo "Triton detected, installing triton" | |
uv pip install triton | |
fi | |
- name: Run script | |
shell: bash | |
run: | | |
if [[ -n "${{ github.event.inputs.eval_content }}" ]]; then | |
if [[ "${{ github.event.inputs.eval_content }}" == *.cu ]]; then | |
echo "Compiling and running CUDA file..." | |
nvcc "${{ github.event.inputs.eval_filename }}" -o cuda_program | |
./cuda_program > training.log 2>&1 | |
else | |
echo "Running Python file..." | |
python3 "${{ github.event.inputs.eval_filename }}" > training.log 2>&1 | |
fi | |
cat training.log # Debug: show output | |
else | |
if [[ "${{ github.event.inputs.filename }}" == *.cu ]]; then | |
echo "Compiling and running CUDA file..." | |
nvcc "${{ github.event.inputs.filename }}" -o cuda_program | |
./cuda_program > training.log 2>&1 | |
else | |
echo "Running Python file..." | |
python3 "${{ github.event.inputs.filename }}" > training.log 2>&1 | |
fi | |
cat training.log # Debug: show output | |
fi | |
- name: Extract score | |
shell: bash | |
run: | | |
# Extract only the last occurrence of "score:" | |
score=$(grep -oP 'score:\s*\d+(\.\d+)?' training.log | tail -n 1 | awk '{print $2}') | |
echo "Score extracted: $score" | |
echo "::set-output name=score::$score" | |
- name: Upload training artifacts | |
uses: actions/upload-artifact@v4 | |
if: always() | |
with: | |
name: training-artifacts | |
path: | | |
training.log | |
${{ github.event.inputs.filename }} | |
env: | |
CUDA_VISIBLE_DEVICES: 0 |