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Torch not compiled with CUDA enabled

PyTorch is installed without CUDA support or the CUDA runtime cannot be detected.

Error text / 报错原文

  • Torch not compiled with CUDA enabled
  • CUDA is not available
  • torch.cuda.is_available false

What it means

PyTorch is installed without CUDA support or the CUDA runtime cannot be detected.

Most common causes

  • CPU-only torch wheel
  • Driver mismatch
  • Wrong virtual environment
  • Unsupported GPU platform

Fastest fix

  • Reproduce the smallest failing case.
  • Check environment, platform, and production settings.
  • Use the related local tool to classify the issue.
  • Fix the highest-risk security or data issue first.

Safe fix

  • Keep secrets out of client code and logs.
  • Prefer least privilege and explicit allowlists.
  • Add a regression test or checklist before retrying.
  • Document the working production configuration.

What not to do

  • Do not disable security controls as a permanent fix.
  • Do not paste secrets into public issue trackers or AI chats.
  • Do not trust preview success as production readiness.

Diagnostic commands

nvidia-smi
python -c "import torch; print(torch.cuda.is_available())"
python --version

Related tools

Related errors

Sources