bump version to v0.8.3 (#1278)

README.md

@@ -58,8 +58,12 @@ English | [简体中文](README_zh-CN.md)
 
 ## What's New
 
+v0.8.3 was released on 2023-07-31.
+
 Highlights:
 
+- Support enabling `efficient_conv_bn_eval` for efficient convolution and batch normalization. See [save memory on gpu](https://mmengine.readthedocs.io/en/latest/common_usage/save_gpu_memory.html#save-memory-on-gpu) for more details
+
 - Add an [example](./examples/llama2/) to finetune Llama2.
 
 - Support training with [FSDP](https://pytorch.org/tutorials/intermediate/FSDP_adavnced_tutorial.html?highlight=fsdp) and [DeepSpeed](https://www.deepspeed.ai/). Refer to the [Training Large Models](https://mmengine.readthedocs.io/en/latest/common_usage/large_model_training.html) for more detailed usages.
@@ -76,7 +80,7 @@ Highlights:
 
   ![new-config-en](https://github.com/open-mmlab/mmengine/assets/57566630/7eb41748-9374-488f-901e-fcd7f0d3c8a1)
 
-Read [Changelog](./docs/en/notes/changelog.md#v080-06302023) for more details.
+Read [Changelog](./docs/en/notes/changelog.md#v083-07312023) for more details.
 
 ## Table of Contents
 

README_zh-CN.md

@@ -58,10 +58,12 @@
 
 ## 最近进展
 
-最新版本 v0.8.0 在 2023.06.30 发布。
+最新版本 v0.8.3 在 2023.07.31 发布。
 
 亮点：
 
+- 支持使用 `efficient_conv_bn_eval` 参数开启更高效的 `ConvBN` 推理模式。详见[节省显存文档](https://mmengine.readthedocs.io/zh_CN/latest/common_usage/save_gpu_memory.html)
+
 - 新增微调 Llama2 的[示例](./examples/llama2/)。
 
 - 支持使用 [FSDP](https://pytorch.org/tutorials/intermediate/FSDP_adavnced_tutorial.html?highlight=fsdp) 和 [DeepSpeed](https://www.deepspeed.ai/) 进行训练。可阅读[大模型训练](https://mmengine.readthedocs.io/zh_cn/latest/common_usage/large_model_training.html)了解用法。
@@ -78,7 +80,7 @@
 
   ![new-config-zh_cn](https://github.com/open-mmlab/mmengine/assets/57566630/c2da9a73-c911-4f78-8253-e3f29496d9f8)
 
-如果想了解更多版本更新细节和历史信息，请阅读[更新日志](./docs/en/notes/changelog.md#v080-06302023)
+如果想了解更多版本更新细节和历史信息，请阅读[更新日志](./docs/en/notes/changelog.md#v083-07312023)
 
 ## 目录
 

docs/en/notes/changelog.md

@@ -1,5 +1,42 @@
 # Changelog of v0.x
 
+## v0.8.3 (31/07/2023)
+
+### Highlights
+
+- Support enabling `efficient_conv_bn_eval` for efficient convolution and batch normalization. See [save memory on gpu](https://mmengine.readthedocs.io/en/latest/common_usage/save_gpu_memory.html#save-memory-on-gpu) for more details
+- Add [Llama2 finetune example](https://github.com/open-mmlab/mmengine/tree/main/examples/llama2)
+- Support multi-node distributed training with MLU backend
+
+### New Features & Enhancements
+
+- Enable `efficient_conv_bn_eval` for memory saving convolution and batch normalization by [@youkaichao](https://github.com/youkaichao) in https://github.com/open-mmlab/mmengine/pull/1202, https://github.com/open-mmlab/mmengine/pull/1251 and https://github.com/open-mmlab/mmengine/pull/1259
+- Add Llama2 example by [@HAOCHENYE](https://github.com/HAOCHENYE) in https://github.com/open-mmlab/mmengine/pull/1264
+- Compare the difference of two configs by [@gachiemchiep](https://github.com/gachiemchiep) in https://github.com/open-mmlab/mmengine/pull/1260
+- Enable explicit error for deepspeed not installed by [@Li-Qingyun](https://github.com/Li-Qingyun) in https://github.com/open-mmlab/mmengine/pull/1240
+- Support skipping initialization in `BaseModule` by [@HAOCHENYE](https://github.com/HAOCHENYE) in https://github.com/open-mmlab/mmengine/pull/1263
+- Add parameter `save_begin` to control when to save checkpoints by [@KerwinKai](https://github.com/KerwinKai) in https://github.com/open-mmlab/mmengine/pull/1271
+- Support multi-node distributed training with MLU backend by [@josh6688](https://github.com/josh6688) in https://github.com/open-mmlab/mmengine/pull/1266
+- Enhance error message thrown by Config, build function and `ConfigDict.items` by [@HAOCHENYE](https://github.com/HAOCHENYE) in https://github.com/open-mmlab/mmengine/pull/1272, https://github.com/open-mmlab/mmengine/pull/1270 and https://github.com/open-mmlab/mmengine/pull/1088
+- Add the `loop_stage` runtime information in `message_hub` by [@zhouzaida](https://github.com/zhouzaida) in https://github.com/open-mmlab/mmengine/pull/1277
+- Fix Visualizer that built `vis_backends` will not be used when `save_dir` is `None` by [@Xinyu302](https://github.com/Xinyu302) in https://github.com/open-mmlab/mmengine/pull/1275
+
+### Bug fixes
+
+- Fix scalar check in RuntimeInfoHook by [@i-aki-y](https://github.com/i-aki-y) in https://github.com/open-mmlab/mmengine/pull/1250
+- Move data preprocessor to target device in FSDPStrategy by [@HAOCHENYE](https://github.com/HAOCHENYE) in https://github.com/open-mmlab/mmengine/pull/1261
+
+### Docs
+
+- Add ecosystem in README by [@zhouzaida](https://github.com/zhouzaida) in https://github.com/open-mmlab/mmengine/pull/1247
+- Add short explanation about registry scope by [@mmeendez8](https://github.com/mmeendez8) in https://github.com/open-mmlab/mmengine/pull/1114
+- Add the data flow of Runner in README by [@zhouzaida](https://github.com/zhouzaida) in https://github.com/open-mmlab/mmengine/pull/1257
+- Introduce how to customize distributed training settings by [@zhouzaida](https://github.com/zhouzaida) in https://github.com/open-mmlab/mmengine/pull/1279
+
+### Contributors
+
+A total of 9 developers contributed to this release. Thanks [@HAOCHENYE](https://github.com/HAOCHENYE), [@youkaichao](https://github.com/youkaichao), [@josh6688](https://github.com/josh6688), [@i-aki-y](https://github.com/i-aki-y), [@mmeendez8](https://github.com/mmeendez8), [@zhouzaida](https://github.com/zhouzaida), [@gachiemchiep](https://github.com/gachiemchiep), [@KerwinKai](https://github.com/KerwinKai), [@Li-Qingyun](https://github.com/Li-Qingyun)
+
 ## v0.8.2 (07/12/2023)
 
 ### Bug fixes

mmengine/version.py

@@ -1,6 +1,6 @@
 # Copyright (c) OpenMMLab. All rights reserved.
 
-__version__ = '0.8.2'
+__version__ = '0.8.3'
 
 
 def parse_version_info(version_str):