PyTorch 发布: PyTorch 2.7.1 Release, bug fix release

来源摘要

This release is meant to fix the following issues (regressions / silent correctness): ### Torch.compile Fix Excessive cudagraph re-recording for HF LLM models ([#152287](https://github.com/pytorch/pytorch/pull/152287)) Fix torch.compile on some HuggingFace models ([#151154](https://github.com/pytorch/pytorch/pull/151154)) Fix crash due to Exception raised inside torch.autocast ([#152503](https://github.com/pytorch/pytorch/pull/152503)) Improve Error logging in torch.compile ([#149831](https://github.com/pytorch/pytorch/pull/149831)) Mark mutable custom operators as cacheable in torch.compile ([#151194](https://github.com/pytorch/pytorch/pull/151194)) Implement workaround for a graph break with older version einops ([#153925](https://github.com/pytorch/pytorch/pull/153925)) Fix an issue with tensor.view(dtype).copy_(...) ([#151598](https://github.com/pytorch/pytorch/pull/151598)) ### Flex Attention Fix assertion error due to inductor permuting inputs to flex attention ([#151959](https://github.com/pytorch/pytorch/pull/151959)) Fix performance regression on nanogpt speedrun ([#152641](https://github.com/pytorch/pytorch/pull/152641)) ### Distributed Fix extra CUDA context created by barrier ([#149144](https://github.com/pytorch/pytorch/pull/149144)) Fix an issue related to Distributed Fused Adam in Rocm/APEX when using nccl_ub feature ([#150010](https://github.com/pytorch/pytorch/pull/150010)) Add a workaround random hang in non-blocking API mode in NCCL 2.26 ([#154055](https://github.com/pytorch/pytorch/pull/154055)) ### MacOS Fix MacOS compilation error with Clang 17 ([#151316](https://github.com/pytorch/pytorch/pull/151344)) Fix binary kernels produce incorrect results when one of the tensor arguments is from a wrapped scalar on MPS devices ([#152997](https://github.com