[chore] 0.4.2 release (#846)

* [chore] 0.4.2 release

* updating torch version

* [skip ci] updating readme and requirements.txt

CHANGELOG.md

@@ -4,7 +4,7 @@ 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).
 
-## NEXT - TBD
+## [0.4.2] - 2021-11-08
 ### Fixed
 - FSDP: Fixed an pre-backward hook bug for certain type of models and FSDP config. [#833]
 

README.md

@@ -22,6 +22,9 @@ FairScale was designed with the following values in mind:
 
 ## What's New:
 
+* November 2021 [fairscale 0.4.2 was released](https://github.com/facebookresearch/fairscale/releases/tag/v0.4.2).
+* We have a new experimental API called the LayerwiseMemoryTracker to help track, visualize and suggest fixes for memory issues occurring during the forward/backward pass of your models.
+* Introducing SlowMoDistributedDataParallel API, a distributed training wrapper that is useful on clusters with slow network interconnects (e.g. Ethernet).
 * September 2021 [`master` branch renamed to `main`](https://github.com/github/renaming).
 * September 2021 [fairscale 0.4.1 was released](https://github.com/facebookresearch/fairscale/releases/tag/v0.4.1).
 

docs/source/conf.py

@@ -29,7 +29,7 @@ copyright = "2020-2021, Facebook AI Research"
 author = "Facebook AI Research"
 
 # The full version, including alpha/beta/rc tags
-release = "0.4.1"
+release = "0.4.2"
 
 
 # -- General configuration ---------------------------------------------------

fairscale/__init__.py

@@ -4,7 +4,7 @@
 # LICENSE file in the root directory of this source tree.
 
 # Please update the doc version in docs/source/conf.py as well.
-__version__ = "0.4.1"
+__version__ = "0.4.2"
 
 ################################################################################
 # Import most common subpackages