Bump the pip group across 1 directory with 2 updates

[dependabot]

Bumps the pip group with 2 updates in the / directory: scikit-learn and torch.

Updates scikit-learn from 1.5.0 to 1.6.0

Release notes

Sourced from scikit-learn's releases.

Scikit-learn 1.6.0

We're happy to announce the 1.6.0 release.

You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_6_0.html and the long version of the change log under https://scikit-learn.org/stable/whats_new/v1.6.html

This version supports Python versions 3.9 to 3.13 and features an experimental support of free-threaded CPython.

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

Scikit-learn 1.5.2

We're happy to announce the 1.5.2 release.

This release contains fixes for a few regressions introduced in 1.5.

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.5.html#version-1-5-2

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

Thanks to everyone who contributed to this release !

Scikit-learn 1.5.1

We're happy to announce the 1.5.1 release.

This release contains fixes for a few regressions introduced in 1.5.

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.5.html#version-1-5-1

You can upgrade with pip as usual:

</tr></table> 

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Commits

• 1fecc10 trigger wheel builder [cd build]
• dcce200 link release highlights from the changelog
• 7015ee6 DOC Release Highlights for version 1.6 (#30392)
• 09c5c00 DOC Update DummyRegressor.fit docstring to be more precise (#30410)
• 4142775 DOC Fix example comment being rendered as text (#30412)
• 034b0d1 DOC Fix broken ref (#30407)
• 384aeba generate changelog
• ea2510c bump version
• ba83d16 FIX KNeighbor classes correctly set positive_only tag (#30372)
• 03d90f3 FIX test_csr_polynomial_expansion_index_overflow on [scipy-dev] (#30393)
• Additional commits viewable in compare view

Updates torch from 2.2.0 to 2.5.1

Release notes

Sourced from torch's releases.

PyTorch 2.5.1: bug fix release

This release is meant to fix the following regressions:

• Wheels from PyPI are unusable out of the box on PRM-based Linux distributions: pytorch/pytorch#138324
• PyPI arm64 distribution logs cpuinfo error on import: pytorch/pytorch#138333
• Crash When Using torch.compile with Math scaled_dot_product_attention in AMP Mode: pytorch/pytorch#133974
• [MPS] Internal crash due to the invalid buffer size computation if sliced API is used: pytorch/pytorch#137800
• Several issues related to CuDNN Attention: pytorch/pytorch#138522

Besides the regression fixes, the release includes several documentation updates.

See release tracker pytorch/pytorch#132400 for additional information.

PyTorch 2.5.0 Release, SDPA CuDNN backend, Flex Attention

PyTorch 2.5 Release Notes

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

Highlights

We are excited to announce the release of PyTorch® 2.5! This release features a new CuDNN backend for SDPA, enabling speedups by default for users of SDPA on H100s or newer GPUs. As well, regional compilation of torch.compile offers a way to reduce the cold start up time for torch.compile by allowing users to compile a repeated nn.Module (e.g. a transformer layer in LLM) without recompilations. Finally, TorchInductor CPP backend offers solid performance speedup with numerous enhancements like FP16 support, CPP wrapper, AOT-Inductor mode, and max-autotune mode. This release is composed of 4095 commits from 504 contributors since PyTorch 2.4. 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 2.5. More information about how to get started with the PyTorch 2-series can be found at our Getting Started page. As well, please check out our new ecosystem projects releases with TorchRec and TorchFix.

Beta	Prototype
CuDNN backend for SDPA	FlexAttention
torch.compile regional compilation without recompilations	Compiled Autograd
TorchDynamo added support for exception handling & MutableMapping types	Flight Recorder
TorchInductor CPU backend optimization	Max-autotune Support on CPU with GEMM Template
	TorchInductor on Windows
	FP16 support on CPU path for both eager mode and TorchInductor CPP backend
	Autoload Device Extension
	Enhanced Intel GPU support

*To see a full list of public feature submissions click here.

BETA FEATURES

[Beta] CuDNN backend for SDPA

The cuDNN "Fused Flash Attention" backend was landed for torch.nn.functional.scaled_dot_product_attention. On NVIDIA H100 GPUs this can provide up to 75% speed-up over FlashAttentionV2. This speedup is enabled by default for all users of SDPA on H100 or newer GPUs.

[Beta] torch.compile regional compilation without recompilations

Regional compilation without recompilations, via torch._dynamo.config.inline_inbuilt_nn_modules which default to True in 2.5+. This option allows users to compile a repeated nn.Module (e.g. a transformer layer in LLM) without recompilations. Compared to compiling the full model, this option can result in smaller compilation latencies with 1%-5% performance degradation compared to full model compilation.

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Commits

• a8d6afb Disabling amp context when invoking compiler (#138659)
• f31b8bb [MPS] Fix sliced cast (#138535)
• 848e7ac [SDPA-CUDNN] Make CuDNN Attention Opt in (#138587)
• 885c823 Update doc copyrights to 2024 (#138650)
• 8c3ed97 Update cpuinfo submodule (#138600)
• 70cf2bb Add link to torch.compile the missing manual in troubleshooting (#137369)
• cde6b38 Don't try to load cufile (#138539)
• 4076a73 [Cherry-Pick] Use cuda 12.4 pytorch_extra_install_requirements as default (#1...
• a97c151 update getting started xpu (#138090)
• 32f585d [Release only] use triton 3.1.x from pypi (#137895)
• Additional commits viewable in compare view

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[dependabot]

Looks like these dependencies are no longer updatable, so this is no longer needed.