Bump torch from 2.6.0 to 2.7.1 #14

Merged

dependabot[bot] merged 1 commit from dependabot/pip/torch-2.7.1 into main

2025-06-10 12:28:23 +00:00

dependabot[bot] commented

2025-06-10 12:26:31 +00:00

(Migrated from github.com)

Bumps torch from 2.6.0 to 2.7.1.

Release notes

Sourced from torch's releases.

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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Bumps [torch](https://github.com/pytorch/pytorch) from 2.6.0 to 2.7.1. <details> <summary>Release notes</summary> <p><em>Sourced from <a href="https://github.com/pytorch/pytorch/releases">torch's releases</a>.</em></p> <blockquote> <h2>PyTorch 2.7.1 Release, bug fix release</h2> <p>This release is meant to fix the following issues (regressions / silent correctness):</p> <h3>Torch.compile</h3> <p>Fix Excessive cudagraph re-recording for HF LLM models (<a href="https://redirect.github.com/pytorch/pytorch/pull/152287">#152287</a>) Fix torch.compile on some HuggingFace models (<a href="https://redirect.github.com/pytorch/pytorch/pull/151154">#151154</a>) Fix crash due to Exception raised inside torch.autocast (<a href="https://redirect.github.com/pytorch/pytorch/pull/152503">#152503</a>) Improve Error logging in torch.compile (<a href="https://redirect.github.com/pytorch/pytorch/pull/149831">#149831</a>) Mark mutable custom operators as cacheable in torch.compile (<a href="https://redirect.github.com/pytorch/pytorch/pull/151194">#151194</a>) Implement workaround for a graph break with older version einops (<a href="https://redirect.github.com/pytorch/pytorch/pull/153925">#153925</a>) Fix an issue with tensor.view(dtype).copy_(...) (<a href="https://redirect.github.com/pytorch/pytorch/pull/151598">#151598</a>)</p> <h3>Flex Attention</h3> <p>Fix assertion error due to inductor permuting inputs to flex attention (<a href="https://redirect.github.com/pytorch/pytorch/pull/151959">#151959</a>) Fix performance regression on nanogpt speedrun (<a href="https://redirect.github.com/pytorch/pytorch/pull/152641">#152641</a>)</p> <h3>Distributed</h3> <p>Fix extra CUDA context created by barrier (<a href="https://redirect.github.com/pytorch/pytorch/pull/149144">#149144</a>) Fix an issue related to Distributed Fused Adam in Rocm/APEX when using nccl_ub feature (<a href="https://redirect.github.com/pytorch/pytorch/pull/150010">#150010</a>) Add a workaround random hang in non-blocking API mode in NCCL 2.26 (<a href="https://redirect.github.com/pytorch/pytorch/pull/154055">#154055</a>)</p> <h3>MacOS</h3> <p>Fix MacOS compilation error with Clang 17 (<a href="https://redirect.github.com/pytorch/pytorch/pull/151344">#151316</a>) Fix binary kernels produce incorrect results when one of the tensor arguments is from a wrapped scalar on MPS devices (<a href="https://redirect.github.com/pytorch/pytorch/pull/152997">#152997</a>)</p> <h3>Other</h3> <p>Improve PyTorch Wheel size due to introduction of addition of 128 bit vectorization (<a href="https://redirect.github.com/pytorch/pytorch/pull/148320">#148320</a>) (<a href="https://redirect.github.com/pytorch/pytorch/pull/152396">#152396</a>) Fix fmsub function definition (<a href="https://redirect.github.com/pytorch/pytorch/pull/152075">#152075</a>) Fix Floating point exception in torch.mkldnn_max_pool2d (<a href="https://redirect.github.com/pytorch/pytorch/pull/151848">#151848</a>) Fix abnormal inference output with XPU:1 device (<a href="https://redirect.github.com/pytorch/pytorch/pull/153067">#153067</a>) Fix Illegal Instruction Caused by grid_sample on Windows (<a href="https://redirect.github.com/pytorch/pytorch/pull/152613">#152613</a>) Fix ONNX decomposition does not preserve custom CompositeImplicitAutograd ops (<a href="https://redirect.github.com/pytorch/pytorch/pull/151826">#151826</a>) Fix error with dynamic linking of libgomp library (<a href="https://redirect.github.com/pytorch/pytorch/pull/150084">#150084</a>) Fix segfault in profiler with Python 3.13 (<a href="https://redirect.github.com/pytorch/pytorch/pull/153848">#153848</a>)</p> <h1>PyTorch 2.7.0 Release Notes</h1> <ul> <li><a href="https://github.com/pytorch/pytorch/blob/HEAD/#highlights">Highlights</a></li> <li><a href="https://github.com/pytorch/pytorch/blob/HEAD/#tracked-regressions">Tracked Regressions</a></li> <li><a href="https://github.com/pytorch/pytorch/blob/HEAD/#backwards-incompatible-changes">Backwards Incompatible Changes</a></li> <li><a href="https://github.com/pytorch/pytorch/blob/HEAD/#deprecations">Deprecations</a></li> <li><a href="https://github.com/pytorch/pytorch/blob/HEAD/#new-features">New Features</a></li> <li><a href="https://github.com/pytorch/pytorch/blob/HEAD/#improvements">Improvements</a></li> <li><a href="https://github.com/pytorch/pytorch/blob/HEAD/#bug-fixes">Bug fixes</a></li> <li><a href="https://github.com/pytorch/pytorch/blob/HEAD/#performance">Performance</a></li> <li><a href="https://github.com/pytorch/pytorch/blob/HEAD/#documentation">Documentation</a></li> <li><a href="https://github.com/pytorch/pytorch/blob/HEAD/#developers">Developers</a></li> </ul> <h1>Highlights</h1>  </blockquote> <p>... (truncated)</p> </details> <details> <summary>Commits</summary> <ul> <li><a href="https://github.com/pytorch/pytorch/commit/e2d141dbde55c2a4370fac5165b0561b6af4798b"><code>e2d141d</code></a> set thread_work_size to 4 for unrolled kernel (<a href="https://redirect.github.com/pytorch/pytorch/issues/154541">#154541</a>)</li> <li><a href="https://github.com/pytorch/pytorch/commit/121419899b9955bbd41b14a207205a9b298ed3f0"><code>1214198</code></a> [c10d] Fix extra CUDA context created by barrier (<a href="https://redirect.github.com/pytorch/pytorch/issues/152834">#152834</a>)</li> <li><a href="https://github.com/pytorch/pytorch/commit/790cc2f02c193b955a1225cea2f79b624a3013bc"><code>790cc2f</code></a> [c10d] Add more tests to prevent extra context (<a href="https://redirect.github.com/pytorch/pytorch/issues/154179">#154179</a>)</li> <li><a href="https://github.com/pytorch/pytorch/commit/62ea99a94771dc547320583576b0bc10ded6a3ce"><code>62ea99a</code></a> [CI] Remove the xpu env source for linux binary validate (<a href="https://redirect.github.com/pytorch/pytorch/issues/154409">#154409</a>)</li> <li><a href="https://github.com/pytorch/pytorch/commit/941732c8298c3a5f5e72b4f744c9d723b751967e"><code>941732c</code></a> [ROCm] Added unit test to test the cuda_pluggable allocator (<a href="https://redirect.github.com/pytorch/pytorch/issues/154135">#154135</a>)</li> <li><a href="https://github.com/pytorch/pytorch/commit/769d5da70224ee032fce196b9400927f8b515540"><code>769d5da</code></a> [binary builds] Linux aarch64 CUDA builds. Make sure tag is set correctly (<a href="https://redirect.github.com/pytorch/pytorch/issues/1">#1</a>...</li> <li><a href="https://github.com/pytorch/pytorch/commit/306ba122bd4653875d450a94918227a180ebe5d4"><code>306ba12</code></a> Fix uint view copy (<a href="https://redirect.github.com/pytorch/pytorch/issues/151598">#151598</a>) (<a href="https://redirect.github.com/pytorch/pytorch/issues/154121">#154121</a>)</li> <li><a href="https://github.com/pytorch/pytorch/commit/1ae99532808dac1b833df6bfa37fb21f6e17aa0f"><code>1ae9953</code></a> [ROCm] Update CUDAPluggableAllocator.h (<a href="https://redirect.github.com/pytorch/pytorch/issues/1984">#1984</a>) (<a href="https://redirect.github.com/pytorch/pytorch/issues/153974">#153974</a>)</li> <li><a href="https://github.com/pytorch/pytorch/commit/4a815ed15aa99dee3527011cfdd11068dcb946ad"><code>4a815ed</code></a> ci: Set minimum cmake version for halide build (<a href="https://redirect.github.com/pytorch/pytorch/issues/154122">#154122</a>)</li> <li><a href="https://github.com/pytorch/pytorch/commit/4c7314e78c3aef08ef9ac674ef708200fb10c35c"><code>4c7314e</code></a> [Dynamo] Fix einops regression (<a href="https://redirect.github.com/pytorch/pytorch/issues/154053">#154053</a>)</li> <li>Additional commits viewable in <a href="https://github.com/pytorch/pytorch/compare/v2.6.0...v2.7.1">compare view</a></li> </ul> </details> <br /> [![Dependabot compatibility score](https://dependabot-badges.githubapp.com/badges/compatibility_score?dependency-name=torch&package-manager=pip&previous-version=2.6.0&new-version=2.7.1)](https://docs.github.com/en/github/managing-security-vulnerabilities/about-dependabot-security-updates#about-compatibility-scores) Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. 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