Expired50% confidenceFactExact time
PyTorch 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.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/3/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 10/1/2026(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
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.80% similarUnverifiedFastEmbed can be installed in its CPU version via pip install fastembed, and in its GPU version via pip install fastembed-gpu.72% similarUnverifiedThe tutorial chose to install the relatively stable PyTorch version 1.13.1, and the core principle for installing PyTorch is that the CUDA version must match the GPU driver.65% similarUnverifiedCUDA 12.4 requires an NVIDIA driver version ≥ 550.54.61% similarUnverifiedFastEmbed's GPU acceleration currently only supports NVIDIA graphics cards (requiring CUDA drivers to be installed); AMD graphics cards are not supported.60% similar
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