PyTorch 2.7.0 Release

# PyTorch 2.7.0 Release Notes - [Highlights](#highlights) - [Tracked Regressions](#tracked-regressions) - [Backwards Incompatible Changes](#backwards-incompatible-changes) - [Deprecations](#deprecations) - [New Features](#new-features) - [Improvements](#improvements) - [Bug fixes](#bug-fixes) - [Performance](#performance) - [Documentation](#documentation) - [Developers](#developers) # Highlights Beta Prototype Torch.Compile support for Torch Function Modes NVIDIA Blackwell Architecture Support Mega Cache PyTorch Native Context Parallel Enhancing Intel GPU Acceleration FlexAttention LLM first token processing on X86 CPUs FlexAttention LLM throughput mode optimization on X86 CPUs Foreach Map Flex Attention for Inference Prologue Fusion Support in Inductor For more details about these highlighted features, you can look at the [release blogpost](https://pytorch.org/blog/pytorch2-7/). Below are the full release notes for this release. # Tracked Regressions ### NCCL init hits CUDA failure 'invalid argument' on 12.2 driver Some users with 12.2 CUDA driver (535 version) report seeing "CUDA driver error: invalid argument" during NCCL or Symmetric Memory initialization. This issue is curr...