Unverified50% confidenceSolutionExact time
The error 'Torch not compiled with CUDA enabled' is usually caused by installing the CPU version of PyTorch, and requires reinstalling the version corresponding to the appropriate CUDA version.
1
Sources
50%
Confidence
Long-term
Relevance
8/31/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe error 'Torch not compiled with CUDA enabled' at runtime causes the model to train on CPU at an extremely slow speed, and switching the device to GPU after installing CUDA can greatly improve training speed.78% similarUnverifiedThere is binary incompatibility between major versions of NVIDIA's CUDA toolkit, and pre-compiled packages for PyTorch/JAX are bound to specific CUDA versions67% similarUnverifiedThe tutorial demonstrates that a 1050Ti GPU supports a maximum of CUDA 11.7, so the PyTorch 1.13.1 installation command based on CUDA 11.6 is selected.65% similarUnverifiedThe demo script defaults to CUDA as the device and will crash on Mac due to CUDA not being compiled in; --device cpu or --device mps must be explicitly passed.65% similarUnverifiedEven if the driver for a 16-series GPU supports CUDA 11 or 12, CUDA 10.2 must be installed; otherwise training cannot run.64% similar
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