Skip to content

payload fixes

payload fixes #1

name: NVIDIA PyTorch/CUDA Job
on:
workflow_dispatch:
inputs:
run_id:
description: 'Unique identifier for this run'
required: true
type: string
payload:
description: 'Content of the user submission, as json string'
required: true
type: string
requirements:
description: 'Contents for a requirements.txt file'
required: false
type: string
run-name: 'NVIDIA Job - ${{ github.event.inputs.run_id }}'
jobs:
run:
runs-on: [gpumode-nvidia-arc]
timeout-minutes: 10
container:
image: nvidia/cuda:12.4.0-devel-ubuntu22.04
steps:
- uses: actions/checkout@v3
- name: Setup Python
uses: actions/setup-python@v5
with:
python-version: '3.10'
- name: Install uv
uses: astral-sh/setup-uv@v3
with:
version: "latest"
- name: Create input files
shell: bash
run: |
# Extract the payload content without printing it
apt-get update && apt-get install -y jq
PAYLOAD=$(jq -r '.inputs.payload' $GITHUB_EVENT_PATH)
# Apply mask to the extracted content
echo "::add-mask::$PAYLOAD"
# Compress and encode the payload as expected by the runner
# Compress with gzip/zlib and then base64 encode
echo "$PAYLOAD" | python3 -c "
import sys, zlib, base64

Check failure on line 52 in .github/workflows/nvidia_workflow.yml

View workflow run for this annotation

GitHub Actions / .github/workflows/nvidia_workflow.yml

Invalid workflow file

You have an error in your yaml syntax on line 52
payload = sys.stdin.read()
compressed = zlib.compress(payload.encode('utf-8'))
encoded = base64.b64encode(compressed).decode('ascii')
print(encoded)
" > payload.json
- name: Setup Python environment
shell: bash
run: |
uv venv .venv
echo "VIRTUAL_ENV=$PWD/.venv" >> $GITHUB_ENV
echo "$PWD/.venv/bin" >> $GITHUB_PATH
if [[ -n "${{ github.event.inputs.requirements }}" ]]; then
cat > "requirements.txt" <<'EOL'
${{ github.event.inputs.requirements }}
EOL
uv pip install -r "requirements.txt"
fi
uv pip install -e .
- name: Run script
shell: bash
run: |
python src/runners/github-runner.py
cat result.json # Debug: show output
- name: Upload training artifacts
uses: actions/upload-artifact@v4
if: always()
with:
name: run-result
path: |
result.json
env:
CUDA_VISIBLE_DEVICES: 0