Expired60% confidenceFactExact time
The 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.
2
Sources
60%
Confidence
Medium-term (~90 days)
Relevance
7/4/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 10/2/2026(expired)
Sources
Reproducing GitHub Projects from Scratch: A Practical Step-by-Step Guide
bilibili论文发刊罗小黑7/2/2026
Related Claims
UnverifiedPyTorch installed via pip install -r requirements.txt is the CPU version by default; to enable GPU acceleration, you must manually reinstall the GPU version of PyTorch corresponding to the appropriate CUDA version.80% similarUnverifiedWhen the error "Torch not compiled with CUDA enabled" appears, the model is actually training on the CPU, which is far slower than the GPU.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66% similarUnverifiedEarly installation of the TensorFlow GPU version required configuring multiple dependency components, and a mismatch between the CUDA version and the cuDNN version would cause failures.64% similar
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