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Bump the pip group across 7 directories with 3 updates #1

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Updates the requirements on ray, scikit-learn and torch to permit the latest version.
Updates ray to 2.8.1

Release notes

Sourced from ray's releases.

Ray-2.8.1

Release Highlights

The Ray 2.8.1 patch release contains fixes for the Ray Dashboard.

Additional context can be found here: https://www.anyscale.com/blog/update-on-ray-cves-cve-2023-6019-cve-2023-6020-cve-2023-6021-cve-2023-48022-cve-2023-48023

Ray Dashboard

🔨 Fixes:

[core][state][log] Cherry pick changes to prevent state API from reading files outside the Ray log directory (#41520) [Dashboard] Migrate Logs page to use state api. (#41474) (#41522)

Commits

Updates scikit-learn to 1.3.2

Release notes

Sourced from scikit-learn's releases.

Scikit-learn 1.3.2

We're happy to announce the 1.3.2 release.

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.3.html#version-1-3-2

This version supports Python versions 3.8 to 3.12.

You can upgrade with pip as usual:

pip install -U scikit-learn

The conda-forge builds can be installed using:

conda install -c conda-forge scikit-learn
Commits
  • 093e0cf [cd build][azure parallel] trigger CI/CD
  • fc24542 TST change random seed to make graphical lasso test pass (#27616)
  • 7e3705d DOC move somes fixes from 1.4 to 1.3.2 (#27602)
  • e43ad8b MAINT remove prerelease flag for Python 3.12 (#27605)
  • b54a13a DOC add version 1.3.2 into landing page (#27604)
  • 6d086c2 REL bump to 1.3.2
  • 8a3c16c FIX Make decision tree pickles deterministic (#27580)
  • 9b977e9 FIX make sure that KernelPCA works with pandas output and arpack solver (#27583)
  • d53756e FIX validate properly zero_division=np.nan when used in parallel processing (...
  • 1df363c FIX make dataset fetchers accept os.Pathlike for data_home (#27468)
  • Additional commits viewable in compare view

Updates torch to 2.2.0

Release notes

Sourced from torch's releases.

PyTorch 2.2: FlashAttention-v2, AOTInductor

PyTorch 2.2 Release Notes

  • Highlights
  • Backwards Incompatible Changes
  • Deprecations
  • New Features
  • Improvements
  • Bug fixes
  • Performance
  • Documentation

Highlights

We are excited to announce the release of PyTorch® 2.2! PyTorch 2.2 offers ~2x performance improvements to scaled_dot_product_attention via FlashAttention-v2 integration, as well as AOTInductor, a new ahead-of-time compilation and deployment tool built for non-python server-side deployments.

This release also includes improved torch.compile support for Optimizers, a number of new inductor optimizations, and a new logging mechanism called TORCH_LOGS.

Please note that we are deprecating macOS x86 support, and PyTorch 2.2.x will be the last version that supports macOS x64.

Along with 2.2, we are also releasing a series of updates to the PyTorch domain libraries. More details can be found in the library updates blog.

This release is composed of 3,628 commits and 521 contributors since PyTorch 2.1. 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 2.2. More information about how to get started with the PyTorch 2-series can be found at our Getting Started page.

Summary:

  • scaled_dot_product_attention (SDPA) now supports FlashAttention-2, yielding around 2x speedups compared to previous versions.
  • PyTorch 2.2 introduces a new ahead-of-time extension of TorchInductor called AOTInductor, designed to compile and deploy PyTorch programs for non-python server-side.
  • torch.distributed supports a new abstraction for initializing and representing ProcessGroups called device_mesh.
  • PyTorch 2.2 ships a standardized, configurable logging mechanism called TORCH_LOGS.
  • A number of torch.compile improvements are included in PyTorch 2.2, including improved support for compiling Optimizers and improved TorchInductor fusion and layout optimizations.
  • Please note that we are deprecating macOS x86 support, and PyTorch 2.2.x will be the last version that supports macOS x64.
  • torch.ao.quantization now offers a prototype torch.export based flow

... (truncated)

Changelog

Sourced from torch's changelog.

Releasing PyTorch

Release Compatibility Matrix

Following is the Release Compatibility Matrix for PyTorch releases:

| PyTorch version | Python | Stable CUDA | Experimental CUDA |

... (truncated)

Commits

Updates scikit-learn to 1.3.2

Release notes

Sourced from scikit-learn's releases.

Scikit-learn 1.3.2

We're happy to announce the 1.3.2 release.

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.3.html#version-1-3-2

This version supports Python versions 3.8 to 3.12.

You can upgrade with pip as usual:

pip install -U scikit-learn

The conda-forge builds can be installed using:

conda install -c conda-forge scikit-learn
Commits
  • 093e0cf [cd build][azure parallel] trigger CI/CD
  • fc24542 TST change random seed to make graphical lasso test pass (#27616)
  • 7e3705d DOC move somes fixes from 1.4 to 1.3.2 (#27602)
  • e43ad8b MAINT remove prerelease flag for Python 3.12 (#27605)
  • b54a13a DOC add version 1.3.2 into landing page (#27604)
  • 6d086c2 REL bump to 1.3.2
  • 8a3c16c FIX Make decision tree pickles deterministic (#27580)
  • 9b977e9 FIX make sure that KernelPCA works with pandas output and arpack solver (#27583)
  • d53756e FIX validate properly zero_division=np.nan when used in parallel processing (...
  • 1df363c FIX make dataset fetchers accept os.Pathlike for data_home (#27468)
  • Additional commits viewable in compare view

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Updates the requirements on [ray](https://github.com/ray-project/ray), [scikit-learn](https://github.com/scikit-learn/scikit-learn) and [torch](https://github.com/pytorch/pytorch) to permit the latest version.

Updates `ray` to 2.8.1
- [Release notes](https://github.com/ray-project/ray/releases)
- [Commits](ray-project/ray@ray-2.2.0...ray-2.8.1)

Updates `scikit-learn` to 1.3.2
- [Release notes](https://github.com/scikit-learn/scikit-learn/releases)
- [Commits](scikit-learn/scikit-learn@0.24.2...1.3.2)

Updates `torch` to 2.2.0
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v1.12.0...v2.2.0)

Updates `scikit-learn` to 1.3.2
- [Release notes](https://github.com/scikit-learn/scikit-learn/releases)
- [Commits](scikit-learn/scikit-learn@0.24.2...1.3.2)

---
updated-dependencies:
- dependency-name: ray
  dependency-type: direct:production
  dependency-group: pip-security-group
- dependency-name: scikit-learn
  dependency-type: direct:production
  dependency-group: pip-security-group
- dependency-name: torch
  dependency-type: direct:production
  dependency-group: pip-security-group
- dependency-name: scikit-learn
  dependency-type: direct:production
  dependency-group: pip-security-group
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update Python code labels Feb 6, 2024
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dependabot bot commented on behalf of github Mar 20, 2024

Superseded by #2.

@dependabot dependabot bot closed this Mar 20, 2024
@dependabot dependabot bot deleted the dependabot/pip/pip-security-group-11edc4dc7d branch March 20, 2024 17:54
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