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msaroufim wants to merge 1 commit into from
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Add GitHub Actions workflow for NVIDIA health check #365

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32 changes: 32 additions & 0 deletions .github/workflows/nvidia-new.yml
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Original file line number Diff line number Diff line change
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name: nvidia-arc

on:
schedule:
# Run nightly at 2 AM UTC
- cron: '0 2 * * *'
workflow_dispatch:
push:
branches: [main]

jobs:
health-check:
runs-on: [Nvidia-A100-8-x86-64]
timeout-minutes: 5
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 PyTorch
run: |
pip install torch

- name: GPU Health Check
run: python -c "import torch; torch.randn(5, device='cuda')"
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Copilot AI Oct 13, 2025

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The GPU health check command should include error handling and more informative output. Consider adding a check to verify the tensor was created successfully and print GPU information for debugging purposes.

Suggested change
run: python -c "import torch; torch.randn(5, device='cuda')"
run: |
python -c "
import torch
try:
print('PyTorch version:', torch.__version__)
print('CUDA available:', torch.cuda.is_available())
if torch.cuda.is_available():
print('CUDA device count:', torch.cuda.device_count())
print('CUDA device name:', torch.cuda.get_device_name(0))
t = torch.randn(5, device='cuda')
print('Tensor:', t)
print('Tensor device:', t.device)
assert t.device.type == 'cuda', 'Tensor is not on CUDA device'
print('GPU health check PASSED')
else:
raise RuntimeError('CUDA is not available')
except Exception as e:
print('GPU health check FAILED:', e)
exit(1)

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env:
CUDA_VISIBLE_DEVICES: 0
Comment on lines +30 to +32
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Copilot AI Oct 13, 2025

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[nitpick] The environment variable CUDA_VISIBLE_DEVICES should be defined at the step level rather than at the job level, as it's only needed for the GPU health check step. This provides better clarity about which steps require GPU access.

Suggested change
env:
CUDA_VISIBLE_DEVICES: 0
env:
CUDA_VISIBLE_DEVICES: 0

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