release v0.4.0

Author: Borda

CHANGELOG.md

@@ -4,47 +4,30 @@ 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).
 
-## [unReleased] - 2021-MM-DD
+## [0.4.0] - 2021-09-09
 
 ### Added
 
-
-- Added Soft Actor Critic (SAC) Model [#627](https://github.com/PyTorchLightning/lightning-bolts/pull/627))
-
+- Added Soft Actor Critic (SAC) Model ([#627](https://github.com/PyTorchLightning/lightning-bolts/pull/627))
 - Added `EMNISTDataModule`, `BinaryEMNISTDataModule`, and `BinaryEMNIST` dataset ([#676](https://github.com/PyTorchLightning/lightning-bolts/pull/676))
-
-- Added Advantage Actor-Critic (A2C) Model [#598](https://github.com/PyTorchLightning/lightning-bolts/pull/598))
-
-- Added Torch ORT Callback [#720](https://github.com/PyTorchLightning/lightning-bolts/pull/720))
-
-- Added SparseML Callback [#724](https://github.com/PyTorchLightning/lightning-bolts/pull/724))
+- Added Advantage Actor-Critic (A2C) Model ([#598](https://github.com/PyTorchLightning/lightning-bolts/pull/598))
+- Added Torch ORT Callback ([#720](https://github.com/PyTorchLightning/lightning-bolts/pull/720))
+- Added SparseML Callback ([#724](https://github.com/PyTorchLightning/lightning-bolts/pull/724))
 
 ### Changed
 
 - Changed the default values `pin_memory=False`, `shuffle=False` and `num_workers=16` to `pin_memory=True`, `shuffle=True` and `num_workers=0` of datamodules ([#701](https://github.com/PyTorchLightning/lightning-bolts/pull/701))
-
-
-### Deprecated
-
-
-### Removed
-
+- Supporting deprecated attribute usage ([#699](https://github.com/PyTorchLightning/lightning-bolts/pull/699))
 
 ### Fixed
 
-- Fixed ImageNet val loader to use val transform instead of train transform.
-
-
-- Fixed the MNIST download giving HTTP 404 with torchvision>=0.9.1 ([#674](https://github.com/PyTorchLightning/lightning-bolts/pull/674))
-
-
+- Fixed ImageNet val loader to use val transform instead of train transform ([#713](https://github.com/PyTorchLightning/lightning-bolts/pull/713))
+- Fixed the MNIST download giving HTTP 404 with `torchvision>=0.9.1` ([#674](https://github.com/PyTorchLightning/lightning-bolts/pull/674))
 - Removed momentum updating from val step and add separate val queue ([#631](https://github.com/PyTorchLightning/lightning-bolts/pull/631))
-
-
 - Fixed moving the queue to GPU when resuming checkpoint for SwAV model ([#684](https://github.com/PyTorchLightning/lightning-bolts/pull/684))
-
-
 - Fixed FP16 support with vision GPT model ([#694](https://github.com/PyTorchLightning/lightning-bolts/pull/694))
+- Removing bias from linear model regularisation ([#669](https://github.com/PyTorchLightning/lightning-bolts/pull/669))
+- Fixed CPC module issue ([#680](https://github.com/PyTorchLightning/lightning-bolts/pull/680))
 
 
 ## [0.3.4] - 2021-06-17

pl_bolts/__about__.py

@@ -1,4 +1,4 @@
-__version__ = "0.4.0dev"
+__version__ = "0.4.0"
 __author__ = "PyTorchLightning et al."
 __author_email__ = "name@pytorchlightning.ai"
 __license__ = "Apache-2.0"