Version 0.0.30

ghstack-source-id: b4660792cfd868da3d31a685bc7a43d3679b77c9
Pull Request resolved: fairinternal/xformers#1354

__original_commit__ = fairinternal/xformers@80dc26c

Author: lw

CHANGELOG.md

@@ -4,11 +4,18 @@ All notable changes to this project will be documented in this file.
 The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
 and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
 
-## [0.0.30] - 2025-??-??
+## [0.0.30] - 2025-04-28
 Pre-built binary wheels are available for PyTorch 2.7.0. Following PyTorch, we build wheels for CUDA 11.8, 12.6, and 12.8 only (we no longer build for CUDA 12.4).
 xFormers now requires PyTorch >= 2.7
 ### Added
 - [fMHA] Added support for local attention on the Flash3 backend (H100)
+- [fMHA] Added a new paged gappy attention bias
+### Improved
+- [fMHA] The FlashAttention3 backend now ships with more head dimensions to support MLA, and with a FLOPs formula in order to be compatible with PyTorch's partitioner-base automatic activation checkpointing
+- The fused operators for sequence parallelism were migrated to PyTorch's SymmetricMemory
+- The profiler prepends the traces' filenames with the rank of the process when doing distributed training
+### Removed
+- Removed documentation for legacy unmaintained components
 
 ## [0.0.29.post2] - 2025-01-31
 Pre-built binary wheels are available for PyTorch 2.6.0. Following PyTorch, we build wheels for CUDA 11.8, 12.4, and 12.6 only (we no longer build for CUDA 12.1).