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Add CUDA 13.0 support (#16321)

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## Summary

Closes https://github.com/astral-sh/uv/issues/16319.
This commit is contained in:
Charlie Marsh
2025-10-15 15:10:08 -04:00
committed by GitHub
parent 766bd951cb
commit bf81a5bf0c
3 changed files with 32 additions and 2 deletions
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docs/reference/cli.md
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@@ -4254,6 +4254,7 @@ by <code>--python-version</code>.</p>
<ul>
<li><code>auto</code>: Select the appropriate PyTorch index based on the operating system and CUDA driver version</li>
<li><code>cpu</code>: Use the CPU-only PyTorch index</li>
<li><code>cu130</code>: Use the PyTorch index for CUDA 13.0</li>
<li><code>cu129</code>: Use the PyTorch index for CUDA 12.9</li>
<li><code>cu128</code>: Use the PyTorch index for CUDA 12.8</li>
<li><code>cu126</code>: Use the PyTorch index for CUDA 12.6</li>
@@ -4536,6 +4537,7 @@ be used with caution, as it can modify the system Python installation.</p>
<ul>
<li><code>auto</code>: Select the appropriate PyTorch index based on the operating system and CUDA driver version</li>
<li><code>cpu</code>: Use the CPU-only PyTorch index</li>
<li><code>cu130</code>: Use the PyTorch index for CUDA 13.0</li>
<li><code>cu129</code>: Use the PyTorch index for CUDA 12.9</li>
<li><code>cu128</code>: Use the PyTorch index for CUDA 12.8</li>
<li><code>cu126</code>: Use the PyTorch index for CUDA 12.6</li>
@@ -4844,6 +4846,7 @@ should be used with caution, as it can modify the system Python installation.</p
<ul>
<li><code>auto</code>: Select the appropriate PyTorch index based on the operating system and CUDA driver version</li>
<li><code>cpu</code>: Use the CPU-only PyTorch index</li>
<li><code>cu130</code>: Use the PyTorch index for CUDA 13.0</li>
<li><code>cu129</code>: Use the PyTorch index for CUDA 12.9</li>
<li><code>cu128</code>: Use the PyTorch index for CUDA 12.8</li>
<li><code>cu126</code>: Use the PyTorch index for CUDA 12.6</li>