kernel-lab/tasks/00_env_sanity/checklist.md

Environment Checklist

• PyTorch imports successfully
• torch.cuda.is_available() is True
• At least one CUDA device is visible
• The GPU name matches the machine you expect to be using
• Device capability is printed and recorded
• Triton imports successfully, or you know why it does not
• torch.version.cuda is visible when using CUDA-enabled PyTorch
• nvcc --version works if you plan to build the CUDA extension
• nvidia-smi works if the driver stack is installed

If any line above fails, fix that before working on later tasks.