Unverified50% confidenceCautionExact time
When the error "Torch not compiled with CUDA enabled" appears, the model is actually training on the CPU, which is far slower than the GPU.
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50%
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Long-term
Relevance
8/31/2026
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UnverifiedThe torch and torchvision specified in requirements.txt are usually CPU versions; if GPU acceleration is needed, the GPU version of PyTorch corresponding to the CUDA version must be reinstalled manually.69% similarUnverifiedGPU显存并非100%可用，因为GPU驱动、CUDA运行时上下文、显示输出和操作系统图形合成器都会预先占用一部分显存68% similarUnverified在处理Jetson这类小众平台时，模型更容易以高置信度给出细节错误的答案（如将x86的CUDA安装命令直接应用于ARM64），因为训练数据中相关正确示例较少67% similarUnverifiedScikit-Learn并不支持GPU加速64% similar
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