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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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@ -5,6 +5,11 @@ development. You can use uv to manage PyTorch projects and PyTorch dependencies
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Python versions and environments, even controlling for the choice of accelerator (e.g., CPU-only vs.
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CUDA).
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!!! note
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Some of the features outlined in this guide require uv version 0.5.3 or later. If you're using an
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older version of uv, we recommend upgrading prior to configuring PyTorch.
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## Installing PyTorch
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From a packaging perspective, PyTorch has a few uncommon characteristics:
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