Unverified50% confidenceFactExact time
PyTorch 2.x可能需要CUDA 11.8或12.1，不同版本的xFormers对PyTorch版本有严格要求
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
8/27/2026
First Seen
Valid until: 11/25/2026
Sources
Related Entities
Related Claims
UnverifiedThe 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.78% similarUnverifiedNVIDIA 10/20-series GPUs should use CUDA 12.4, while 30/40/50-series GPUs should use CUDA 13.63% similarUnverifiedCUDA 12.4 requires an NVIDIA driver version ≥ 550.54.60% similarUnverifiedThe 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.59% similarUnverifiedPyTorch 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.59% similar
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