feat

Author: S1ro1

.github/workflows/nvidia-arc-health.yml

@@ -12,8 +12,9 @@ jobs:
     runs-on: [nvidia-docker-b200-8-x86-64]
     timeout-minutes: 5
 
+    steps:
     - name: GPU Health Check
-      run: python3 -c "import torch; torch.randn(5, device='cuda')"
+      run: python -c "import torch; torch.randn(5, device='cuda')"
 
     env:
       CUDA_VISIBLE_DEVICES: 0