Repository: huggingface/transformers
Pull request: Bump torch from 2.6.0 to 2.7.1 in /examples/flax/vision

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>
<!-- raw HTML omitted -->
</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>
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Changed files:
filename: examples/flax/vision/requirements.txt
patch: @@ -3,6 +3,6 @@ jaxlib>=0.1.59
 flax>=0.3.5
 optax>=0.0.8
 -f https://download.pytorch.org/whl/torch_stable.html
-torch==2.6.0
+torch==2.7.1
 -f https://download.pytorch.org/whl/torch_stable.html
 torchvision==0.12.0+cpu