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Bump the pip group across 2 directories with 1 update#4

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dependabot/pip/deployed_templates/jupyter/pip-f5e5c82fd4
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Bump the pip group across 2 directories with 1 update#4
dependabot[bot] wants to merge 1 commit intomainfrom
dependabot/pip/deployed_templates/jupyter/pip-f5e5c82fd4

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@dependabot dependabot bot commented on behalf of github Apr 18, 2025

Bumps the pip group with 1 update in the /deployed_templates/jupyter directory: torch.
Bumps the pip group with 1 update in the /templates/jupyter directory: torch.

Updates torch from 2.3.0 to 2.6.0

Release notes

Sourced from torch's releases.

PyTorch 2.6.0 Release

  • Highlights
  • Tracked Regressions
  • Backwards Incompatible Change
  • Deprecations
  • New Features
  • Improvements
  • Bug fixes
  • Performance
  • Documentation
  • Developers

Highlights

We are excited to announce the release of PyTorch® 2.6 (release notes)! This release features multiple improvements for PT2: torch.compile can now be used with Python 3.13; new performance-related knob torch.compiler.set_stance; several AOTInductor enhancements. Besides the PT2 improvements, another highlight is FP16 support on X86 CPUs.

NOTE: Starting with this release we are not going to publish on Conda, please see [Announcement] Deprecating PyTorch’s official Anaconda channel for the details.

For this release the experimental Linux binaries shipped with CUDA 12.6.3 (as well as Linux Aarch64, Linux ROCm 6.2.4, and Linux XPU binaries) are built with CXX11_ABI=1 and are using the Manylinux 2.28 build platform. If you build PyTorch extensions with custom C++ or CUDA extensions, please update these builds to use CXX_ABI=1 as well and report any issues you are seeing. For the next PyTorch 2.7 release we plan to switch all Linux builds to Manylinux 2.28 and CXX11_ABI=1, please see [RFC] PyTorch next wheel build platform: manylinux-2.28 for the details and discussion.

Also in this release as an important security improvement measure we have changed the default value for weights_only parameter of torch.load. This is a backward compatibility-breaking change, please see this forum post for more details.

This release is composed of 3892 commits from 520 contributors since PyTorch 2.5. We want to sincerely thank our dedicated community for your contributions. As always, we encourage you to try these out and report any issues as we improve PyTorch. More information about how to get started with the PyTorch 2-series can be found at our Getting Started page.

... (truncated)

Commits

Updates torch from 2.3.0 to 2.6.0

Release notes

Sourced from torch's releases.

PyTorch 2.6.0 Release

  • Highlights
  • Tracked Regressions
  • Backwards Incompatible Change
  • Deprecations
  • New Features
  • Improvements
  • Bug fixes
  • Performance
  • Documentation
  • Developers

Highlights

We are excited to announce the release of PyTorch® 2.6 (release notes)! This release features multiple improvements for PT2: torch.compile can now be used with Python 3.13; new performance-related knob torch.compiler.set_stance; several AOTInductor enhancements. Besides the PT2 improvements, another highlight is FP16 support on X86 CPUs.

NOTE: Starting with this release we are not going to publish on Conda, please see [Announcement] Deprecating PyTorch’s official Anaconda channel for the details.

For this release the experimental Linux binaries shipped with CUDA 12.6.3 (as well as Linux Aarch64, Linux ROCm 6.2.4, and Linux XPU binaries) are built with CXX11_ABI=1 and are using the Manylinux 2.28 build platform. If you build PyTorch extensions with custom C++ or CUDA extensions, please update these builds to use CXX_ABI=1 as well and report any issues you are seeing. For the next PyTorch 2.7 release we plan to switch all Linux builds to Manylinux 2.28 and CXX11_ABI=1, please see [RFC] PyTorch next wheel build platform: manylinux-2.28 for the details and discussion.

Also in this release as an important security improvement measure we have changed the default value for weights_only parameter of torch.load. This is a backward compatibility-breaking change, please see this forum post for more details.

This release is composed of 3892 commits from 520 contributors since PyTorch 2.5. We want to sincerely thank our dedicated community for your contributions. As always, we encourage you to try these out and report any issues as we improve PyTorch. More information about how to get started with the PyTorch 2-series can be found at our Getting Started page.

... (truncated)

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Summary by Sourcery

Enhancements:

  • Upgrade PyTorch to the latest version, bringing performance improvements and new features

Bumps the pip group with 1 update in the /deployed_templates/jupyter directory: [torch](https://github.com/pytorch/pytorch).
Bumps the pip group with 1 update in the /templates/jupyter directory: [torch](https://github.com/pytorch/pytorch).


Updates `torch` from 2.3.0 to 2.6.0
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v2.3.0...v2.6.0)

Updates `torch` from 2.3.0 to 2.6.0
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v2.3.0...v2.6.0)

---
updated-dependencies:
- dependency-name: torch
  dependency-version: 2.6.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: torch
  dependency-version: 2.6.0
  dependency-type: direct:production
  dependency-group: pip
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update python code labels Apr 18, 2025
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sourcery-ai bot commented Apr 18, 2025

Reviewer's Guide by Sourcery

This pull request updates the torch dependency from version 2.3.0 to 2.6.0 in the requirements.txt files located in both the /deployed_templates/jupyter and /templates/jupyter directories. This ensures that the Jupyter environments in both locations use the latest version of the PyTorch library.

No diagrams generated as the changes look simple and do not need a visual representation.

File-Level Changes

Change Details Files
Update torch dependency from version 2.3.0 to 2.6.0.
  • Update torch version in requirements.txt.
deployed_templates/jupyter/requirements.txt
Update torch dependency from version 2.3.0 to 2.6.0.
  • Update torch version in requirements.txt.
templates/jupyter/requirements.txt

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dependabot bot commented on behalf of github Nov 5, 2025

Superseded by #8.

@dependabot dependabot bot closed this Nov 5, 2025
@dependabot dependabot bot deleted the dependabot/pip/deployed_templates/jupyter/pip-f5e5c82fd4 branch November 5, 2025 21:11
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