8000 Upgrading PyTorch v2.15.0, torchvision v0.29.2, torchaudio v2.11.1 · Issue #6191 · googlecolab/colabtools · GitHub
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Upgrading PyTorch v2.15.0, torchvision v0.29.2, torchaudio v2.11.1 #6191

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@atalman

Similar to #6093

Hello. We have released torch v2.15.0, torchvision v0.29.2 and torchaudio v2.11.1, to pypi and download.pytorch.org

Installation instructions for integrating this build in Colab:

pip3 install torch torchvision torchaudio

This should install Python 3.11-Python 3.15 CUDA 13.2 full release. Python 3.10 is no longer supported by torch 2.15.

Two changes compared to 2.14 that matter for Colab:

  1. The default CUDA version changed from 13.0 to 13.2 (the PyPI wheel pins cuda-toolkit==13.2.2). It needs an NVIDIA driver that supports CUDA 13.2. Could you confirm the driver on the Colab runtimes is new enough?
  2. There is no CUDA 13.0 or CUDA 12.x build of torch 2.15. The CUDA builds on download.pytorch.org for 2.15.0 are cu132 and cu134. If CUDA 13.2 does not work on a runtime, please let us know.

Other available builds:

pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu132
pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu134
pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu

release notes can be found at:

see blog: pytorch.org/blog/pytorch-2-15-release-blog

Should we close this one now: #6093 ?

cc @spencersgoogle

AI assistance (Claude) was used to draft this issue.

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  1. sethtroisi commented on Oct 29, 2026

    @sethtroisi

    Yes, hopefully in 1-2 weeks.

    Our roadmap for updating is

    • CUDA 13 blocked by pypi file limits currently
    • TF 2.22
    • PyTorch 2.15
    • Ubuntu 26.04
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