Bump torch from 2.2.2 to 2.7.1 in the pip group across 1 directory #1

dependabot · 2025-06-20T15:56:17Z

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

Updates torch from 2.2.2 to 2.7.1

Release notes

PyTorch 2.7.1 Release, bug fix release

This release is meant to fix the following issues (regressions / silent correctness):

Torch.compile

Fix Excessive cudagraph re-recording for HF LLM models (#152287) Fix torch.compile on some HuggingFace models (#151154) Fix crash due to Exception raised inside torch.autocast (#152503) Improve Error logging in torch.compile (#149831) Mark mutable custom operators as cacheable in torch.compile (#151194) Implement workaround for a graph break with older version einops (#153925) Fix an issue with tensor.view(dtype).copy_(...) (#151598)

Flex Attention

Fix assertion error due to inductor permuting inputs to flex attention (#151959) Fix performance regression on nanogpt speedrun (#152641)

Distributed

Fix extra CUDA context created by barrier (#149144) Fix an issue related to Distributed Fused Adam in Rocm/APEX when using nccl_ub feature (#150010) Add a workaround random hang in non-blocking API mode in NCCL 2.26 (#154055)

MacOS

Fix MacOS compilation error with Clang 17 (#151316) Fix binary kernels produce incorrect results when one of the tensor arguments is from a wrapped scalar on MPS devices (#152997)

Other

Improve PyTorch Wheel size due to introduction of addition of 128 bit vectorization (#148320) (#152396) Fix fmsub function definition (#152075) Fix Floating point exception in torch.mkldnn_max_pool2d (#151848) Fix abnormal inference output with XPU:1 device (#153067) Fix Illegal Instruction Caused by grid_sample on Windows (#152613) Fix ONNX decomposition does not preserve custom CompositeImplicitAutograd ops (#151826) Fix error with dynamic linking of libgomp library (#150084) Fix segfault in profiler with Python 3.13 (#153848)

PyTorch 2.7.0 Release Notes

Highlights

Tracked Regressions

Backwards Incompatible Changes

Deprecations

New Features

Improvements

Bug fixes

Performance

Documentation

Developers

Highlights

... (truncated)

Commits

e2d141d set thread_work_size to 4 for unrolled kernel (#154541)
1214198 [c10d] Fix extra CUDA context created by barrier (#152834)
790cc2f [c10d] Add more tests to prevent extra context (#154179)
62ea99a [CI] Remove the xpu env source for linux binary validate (#154409)
941732c [ROCm] Added unit test to test the cuda_pluggable allocator (#154135)
769d5da [binary builds] Linux aarch64 CUDA builds. Make sure tag is set correctly (#1...
306ba12 Fix uint view copy (#151598) (#154121)
1ae9953 [ROCm] Update CUDAPluggableAllocator.h (#1984) (#153974)
4a815ed ci: Set minimum cmake version for halide build (#154122)
4c7314e [Dynamo] Fix einops regression (#154053)
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Summary by CodeRabbit

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- Updated the version of the torch package to 2.7.1.

Bumps the pip group with 1 update in the / directory: [torch](https://github.com/pytorch/pytorch). Updates `torch` from 2.2.2 to 2.7.1 - [Release notes](https://github.com/pytorch/pytorch/releases) - [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md) - [Commits](pytorch/pytorch@v2.2.2...v2.7.1) --- updated-dependencies: - dependency-name: torch dependency-version: 2.7.1 dependency-type: direct:production dependency-group: pip ... Signed-off-by: dependabot[bot] <[email protected]>

jazzberry-ai · 2025-06-20T15:56:21Z

Bug Report

Name	Severity	Example test case	Description
Missing dependency check for quantum LLM acceleration	Low	Try to use the quantum LLM acceleration feature without `torch` installed.	The `quantum_llm_acceleration` feature is not fully implemented and likely requires `torch`. However, there is no check to ensure that `torch` is installed before attempting to use this feature, which could lead to confusing runtime errors. A warning message should be displayed if `torch` is not installed when attempting to use the `quantum_llm_acceleration` functionality.

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coderabbitai · 2025-06-20T15:56:23Z

Walkthrough

The version of the torch package in the requirements.txt file was updated from 2.2.2 to 2.7.1. No other dependencies or versions were modified.

Changes

File(s)	Change Summary
requirements.txt	Updated `torch` version from 2.2.2 to 2.7.1

Poem

A hop and a skip, the torch is anew,
From two point two two, to seven point one it flew!
Dependencies steady, the list remains light,
Just one little change, now everything’s right.
With brighter new code, we leap to the sun—
Upgraded and ready, our work here is done!
🐇✨

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requirements.txt (1 hunks)

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jazzberry-ai · 2025-06-20T17:57:39Z

Bug Report

Name	Severity	Example test case	Description
Torch version incompatibility	High	Update torch version in requirements.txt	The updated torch version (2.7.1) or even the latest version is not installable in the current environment, potentially due to compatibility issues with the Python version or system architecture. This prevents the application from running with the specified or latest torch version.

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groupthinking · 2025-06-20T17:57:45Z

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coderabbitai · 2025-06-20T17:57:51Z

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dependabot · 2025-06-20T17:58:48Z

This pull request was built based on a group rule. Closing it will not ignore any of these versions in future pull requests.

To ignore these dependencies, configure ignore rules in dependabot.yml

dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update python code labels Jun 20, 2025

Merge branch 'master' into dependabot/pip/pip-1db27bbea2

4df4654

groupthinking closed this Jun 20, 2025

dependabot bot deleted the dependabot/pip/pip-1db27bbea2 branch June 20, 2025 17:58

Copilot AI mentioned this pull request Jul 7, 2025

Fix 6 critical security vulnerabilities: replace pickle with JSON, MD5 with SHA-256, remove hardcoded credentials #27

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PyTorch 2.7.1 Release, bug fix release

Torch.compile

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PyTorch 2.7.0 Release Notes

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