Skip to content

NVIDIA PyTorch/CUDA Job #190

NVIDIA PyTorch/CUDA Job

NVIDIA PyTorch/CUDA Job #190

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_filename }}" == *.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: 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