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Add minimum version to PyTorch guide (#9247) 

## Summary

Closes https://github.com/astral-sh/uv/issues/9224.
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Charlie Marsh 2024-11-19 16:21:43 -05:00 committed by GitHub
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docs/guides/integration/pytorch.md
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@ -5,6 +5,11 @@ development. You can use uv to manage PyTorch projects and PyTorch dependencies
Python versions and environments, even controlling for the choice of accelerator (e.g., CPU-only vs. Python versions and environments, even controlling for the choice of accelerator (e.g., CPU-only vs.
CUDA). CUDA).
!!! note
Some of the features outlined in this guide require uv version 0.5.3 or later. If you're using an
older version of uv, we recommend upgrading prior to configuring PyTorch.
## Installing PyTorch ## Installing PyTorch
From a packaging perspective, PyTorch has a few uncommon characteristics: From a packaging perspective, PyTorch has a few uncommon characteristics: