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Changelog of v0.x

v0.10.3 (24/1/2024)

New Features & Enhancements

  • Add the support for musa device support by @hanhaowen-mt in https://github.com/open-mmlab/mmengine/pull/1453

  • Support save_optimizer=False for DeepSpeed by @LZHgrla in https://github.com/open-mmlab/mmengine/pull/1474

  • Update visualizer.py by @Anm-pinellia in https://github.com/open-mmlab/mmengine/pull/1476

Bug Fixes

  • Fix Config.to_dict by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/1465

  • Fix the resume of iteration by @LZHgrla in https://github.com/open-mmlab/mmengine/pull/1471

  • Fix dist.collect_results to keep all ranks’ elements by @LZHgrla in https://github.com/open-mmlab/mmengine/pull/1469

Docs

  • Add the usage of ProfilerHook by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/1466

  • Fix the nnodes in the doc of ddp training by @XiwuChen in https://github.com/open-mmlab/mmengine/pull/1462

v0.10.2 (26/12/2023)

New Features & Enhancements

  • Support multi-node distributed training with NPU backend by @shun001 in https://github.com/open-mmlab/mmengine/pull/1459

  • Use ImportError to cover ModuleNotFoundError by @del-zhenwu in https://github.com/open-mmlab/mmengine/pull/1438

Bug Fixes

  • Fix bug in load_model_state_dict of BaseStrategy by @SCZwangxiao in https://github.com/open-mmlab/mmengine/pull/1447

  • Fix placement policy in ColossalAIStrategy by @fanqiNO1 in https://github.com/open-mmlab/mmengine/pull/1440

Contributors

A total of 4 developers contributed to this release. Thanks @shun001, @del-zhenwu, @SCZwangxiao, @fanqiNO1

v0.10.1 (22/11/2023)

Bug Fixes

  • Fix collect_env without opencv by @fanqiNO1 in https://github.com/open-mmlab/mmengine/pull/1434

  • Fix deploy.yml by @fanqiNO1 in https://github.com/open-mmlab/mmengine/pull/1431

Docs

  • Add build mmengine-lite from source by @fanqiNO1 in https://github.com/open-mmlab/mmengine/pull/1435

Contributors

A total of 1 developers contributed to this release. Thanks @fanqiNO1

v0.10.0 (21/11/2023)

New Features & Enhancements

  • Support for installing mmengine without opencv by @fanqiNO1 in https://github.com/open-mmlab/mmengine/pull/1429

  • Support exclude_frozen_parameters for DeepSpeedStrategy’s resume by @LZHgrla in https://github.com/open-mmlab/mmengine/pull/1424

Bug Fixes

  • Fix bugs in colo optimwrapper by @HIT-cwh in https://github.com/open-mmlab/mmengine/pull/1426

  • Fix scale_lr in SingleDeviceStrategy by @fanqiNO1 in https://github.com/open-mmlab/mmengine/pull/1428

  • Fix CI for torch2.1.0 by @fanqiNO1 in https://github.com/open-mmlab/mmengine/pull/1418

Contributors

A total of 3 developers contributed to this release. Thanks @HIT-cwh, @LZHgrla, @fanqiNO1

v0.9.1 (03/11/2023)

New Features & Enhancements

  • Support slurm distributed training for mlu devices by @POI-WX in https://github.com/open-mmlab/mmengine/pull/1396

  • Add torch 2.1.0 checking in CI by @YiyaoYang1 in https://github.com/open-mmlab/mmengine/pull/1389

  • Add exclude_frozen_parameters for DeepSpeedStrategy by @LZHgrla in https://github.com/open-mmlab/mmengine/pull/1415

  • Enhance inputs_to_half in DeepSpeedStrategy by @fanqiNO1 in https://github.com/open-mmlab/mmengine/pull/1400

Bug Fixes

  • Fix new config in visualizer by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/1390

  • Fix func params using without init in OneCycleLR (#1401) by @whlook in https://github.com/open-mmlab/mmengine/pull/1403

  • Fix a bug when module is missing in low version of bitsandbytes by @Ben-Louis in https://github.com/open-mmlab/mmengine/pull/1388

  • Fix ConcatDataset raising error when metainfo is np.array by @jonbakerfish in https://github.com/open-mmlab/mmengine/pull/1407

Docs

  • Rename master to main by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/1397

Contributors

A total of 9 developers contributed to this release. Thanks @POI-WX, @whlook, @jonbakerfish, @LZHgrla, @Ben-Louis, @YiyaoYang1, @fanqiNO1, @HAOCHENYE, @zhouzaida

v0.9.0 (10/10/2023)

Highlights

New Features & Enhancements

  • Add a text translation example by @Desjajja in https://github.com/open-mmlab/mmengine/pull/1283

  • Add NeptuneVisBackend by @wangerlie in https://github.com/open-mmlab/mmengine/pull/1311

  • Add ColossalAI strategy by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/1299

  • Add collect_results support for Ascend NPU by @xuuyangg in https://github.com/open-mmlab/mmengine/pull/1309

  • Unify the parameter style of DeepSpeedStrategy by @LZHgrla in https://github.com/open-mmlab/mmengine/pull/1320

  • Add progressbar rich by @Dominic23331 in https://github.com/open-mmlab/mmengine/pull/1157

  • Support using other file handlers by @KevinNuNu in https://github.com/open-mmlab/mmengine/pull/1188

  • Refine error message by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/1338

  • Implement gradient checkpointing by @zeyuanyin in https://github.com/open-mmlab/mmengine/pull/1319

  • Add DVCLiveVisBackend by @RangeKing in https://github.com/open-mmlab/mmengine/pull/1336

  • Add AimVisBackend by @RangeKing in https://github.com/open-mmlab/mmengine/pull/1347

  • Support bitsandbytes by @okotaku in https://github.com/open-mmlab/mmengine/pull/1357

  • Support Adafactor Optimizer by @okotaku in https://github.com/open-mmlab/mmengine/pull/1361

  • Add unit tests for autocast with Ascend device by @6Vvv in https://github.com/open-mmlab/mmengine/pull/1363

  • Support metainfo of dataset can be a generic dict-like Mapping by @hiyyg in https://github.com/open-mmlab/mmengine/pull/1378

  • Support for installing minimal runtime dependencies by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/1362

  • Support setting the number of iterations in Runner for each epoch by @ShuRaymond in https://github.com/open-mmlab/mmengine/pull/1292

  • Support using gradient checkpointing in FSDP by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/1382

Docs

  • Add README for examples by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/1295

  • Add a new ecosystem in README by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/1296

  • Fix typo by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/1298

  • Add an image for Neptune by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/1312

  • Fix docs of ColossalAI by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/1315

  • Update QRCode by @crazysteeaam in https://github.com/open-mmlab/mmengine/pull/1328

  • Add activation checkpointing usage by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/1341

  • Fix typo by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/1348

  • Update the usage of bitsandbytes in Chinese documents by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/1359

  • Fix doc typo our_dir in LoggerHook by @wangg12 in https://github.com/open-mmlab/mmengine/pull/1373

  • Add the contributing doc in pr template by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/1380

  • Update the version info by @fanqiNO1 in https://github.com/open-mmlab/mmengine/pull/1383

  • Fix typo by @fanqiNO1 in https://github.com/open-mmlab/mmengine/pull/1385

Bug Fixes

  • Ignore examples in CI by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/1297

  • Fix multi-card issue in PyTorch v2.1 on Ascend by @LRJKD in https://github.com/open-mmlab/mmengine/pull/1321

  • Fix get optimizer_cls by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/1324

  • Fix ndarray metainfo check in ConcatDataset by @NrealLzx in https://github.com/open-mmlab/mmengine/pull/1333

  • Adapt to PyTorch v2.1 on Ascend by @LRJKD in https://github.com/open-mmlab/mmengine/pull/1332

  • Fix the type check of tasks in progress bar by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/1340

  • The keyword mode appears nested multiple times in the log by @huaibovip in https://github.com/open-mmlab/mmengine/pull/1305

  • Fix pydantic version to fix mlflow unit tests by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/1351

  • Fix get class attribute from a string by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/1345

  • Delete yapf verify by @okotaku in https://github.com/open-mmlab/mmengine/pull/1365

  • Ensure from_cfg of Runner have the same defaults values as its init by @YinAoXiong in https://github.com/open-mmlab/mmengine/pull/1368

  • Fix docs building error caused by deepspeed by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/1379

Contributors

A total of 21 developers contributed to this release. Thanks @LZHgrla, @wangerlie, @wangg12, @RangeKing, @hiyyg, @LRJKD, @KevinNuNu, @zeyuanyin, @Desjajja, @ShuRaymond, @okotaku, @crazysteeaam, @6Vvv, @NrealLzx, @YinAoXiong, @huaibovip, @xuuyangg, @Dominic23331, @fanqiNO1, @HAOCHENYE, @zhouzaida

v0.8.4 (03/08/2023)

New Features & Enhancements

  • Support callable collate_fn for FlexibleRunner by @LZHgrla in https://github.com/open-mmlab/mmengine/pull/1284

Bug fixes

  • Skip adding vis_backends when save_dir is not set by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/1289

  • Fix dumping pure python style config in colab by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/1290

Docs

  • Find unused parameters by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/1288

Contributors

A total of 3 developers contributed to this release. Thanks @HAOCHENYE, @zhouzaida, @LZHgrla

v0.8.3 (31/07/2023)

Highlights

  • Support enabling efficient_conv_bn_eval for efficient convolution and batch normalization. See save memory on gpu for more details

  • Add Llama2 finetune example

  • 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 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 in https://github.com/open-mmlab/mmengine/pull/1264

  • Compare the difference of two configs by @gachiemchiep in https://github.com/open-mmlab/mmengine/pull/1260

  • Enable explicit error for deepspeed not installed by @Li-Qingyun in https://github.com/open-mmlab/mmengine/pull/1240

  • Support skipping initialization in BaseModule by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/1263

  • Add parameter save_begin to control when to save checkpoints by @KerwinKai in https://github.com/open-mmlab/mmengine/pull/1271

  • Support multi-node distributed training with MLU backend by @josh6688 in https://github.com/open-mmlab/mmengine/pull/1266

  • Enhance error message thrown by Config, build function and ConfigDict.items by @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 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 in https://github.com/open-mmlab/mmengine/pull/1275

Bug fixes

  • Fix scalar check in RuntimeInfoHook by @i-aki-y in https://github.com/open-mmlab/mmengine/pull/1250

  • Move data preprocessor to target device in FSDPStrategy by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/1261

Docs

  • Add ecosystem in README by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/1247

  • Add short explanation about registry scope by @mmeendez8 in https://github.com/open-mmlab/mmengine/pull/1114

  • Add the data flow of Runner in README by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/1257

  • Introduce how to customize distributed training settings by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/1279

Contributors

A total of 9 developers contributed to this release. Thanks @HAOCHENYE, @youkaichao, @josh6688, @i-aki-y, @mmeendez8, @zhouzaida, @gachiemchiep, @KerwinKai, @Li-Qingyun

v0.8.2 (07/12/2023)

Bug fixes

  • Fix pickling the Python style config by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/1241

  • Fix the logic of setting lazy_import by @Li-Qingyun in https://github.com/open-mmlab/mmengine/pull/1239

v0.8.1 (07/05/2023)

New Features & Enhancements

  • Accelerate Config.dump and support converting Lazyxxx to string in ConfigDict.to_dictby @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/1232

Bug fixes

  • FSDP should call _get_ignored_modules by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/1235

Docs

  • Add a document to introduce how to train a large model by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/1228

v0.8.0 (06/30/2023)

Highlights

  • Support training with FSDP and DeepSpeed. Refer to the example for more detailed usages.

  • Introduce the pure Python style configuration file:

    • Support navigating to base configuration file in IDE

    • Support navigating to base variable in IDE

    • Support navigating to source code of class in IDE

    • Support inheriting two configuration files containing the same field

    • Load the configuration file without other third-party requirements

    Refer to the tutorial for more detailed usages.

    new-config-en

New Features & Enhancements

  • Support training with FSDP by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/1213

  • Add FlexibleRunner and Strategies, and support training with DeepSpeed by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/1183

  • Support pure Python style configuration file by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/1071

  • Learning rate in log can show the base learning rate of optimizer by @AkideLiu in https://github.com/open-mmlab/mmengine/pull/1019

  • Refine the error message when auto_scale_lr is not set correctly by @alexander-soare in https://github.com/open-mmlab/mmengine/pull/1181

  • WandbVisBackend supports updating config by @zgzhengSEU in https://github.com/open-mmlab/mmengine/pull/977

Bug fixes

  • CheckpointHook should check whether file exists before removing it by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/1198

  • Fix undefined variable error in Runner by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/1219

Docs

  • Add a document to introduce how to debug with vscode by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/1212

  • Update English introduction by @evdcush in https://github.com/open-mmlab/mmengine/pull/1189

  • Fix parameter typing error in document by @syo093c in https://github.com/open-mmlab/mmengine/pull/1201

  • Fix gpu collection during evaluation by @edkair in https://github.com/open-mmlab/mmengine/pull/1208

  • Fix a comment in runner tutorial by @joihn in https://github.com/open-mmlab/mmengine/pull/1210

Contributors

A total of 9 developers contributed to this release. Thanks @evdcush, @zhouzaida, @AkideLiu, @joihn, @HAOCHENYE, @edkair, @alexander-soare, @syo093c, @zgzhengSEU

v0.7.4 (06/03/2023)

Highlights

  • Support using ClearML to record experiment data

  • Add Sophia optimizers

New Features & Enhancements

  • Add visualize backend for clearml by @gachiemchiep in https://github.com/open-mmlab/mmengine/pull/1091

  • Support Sophia optimizers by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/1170

  • Refactor unittest syncbuffer by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/813

  • Allow ann_file, data_root is None for BaseDataset by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/850

  • Enable full precision training on Ascend NPU by @Ginray in https://github.com/open-mmlab/mmengine/pull/1109

  • Creating a text classification example by @TankNee in https://github.com/open-mmlab/mmengine/pull/1122

  • Add option to log selected config only by @KickCellarDoor in https://github.com/open-mmlab/mmengine/pull/1159

  • Add an option to control whether to show progress bar in BaseInference by @W-ZN in https://github.com/open-mmlab/mmengine/pull/1135

  • Support dipu device by @CokeDong in https://github.com/open-mmlab/mmengine/pull/1127

  • Let unit tests not affect each other by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/1169

  • Add support for full wandb’s define_metric arguments by @i-aki-y in https://github.com/open-mmlab/mmengine/pull/1099

Bug fixes

  • Fix the incorrect device of inputs in get_model_complexity_info by @CescMessi in https://github.com/open-mmlab/mmengine/pull/1130

  • Correctly saves _metadata of state_dict when saving checkpoints by @Bomsw in https://github.com/open-mmlab/mmengine/pull/1131

  • Correctly record random seed in log by @Shiyang980713 in https://github.com/open-mmlab/mmengine/pull/1152

  • Close MLflowVisBackend only if active by @zimonitrome in https://github.com/open-mmlab/mmengine/pull/1151

  • Fix ProfileHook cannot profile ddp-training by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/1140

  • Handle the case for Multi-Instance GPUs when using cuda_visible_devices by @adrianjoshua-strutt in https://github.com/open-mmlab/mmengine/pull/1164

  • Fix attribute error when parsing CUDA_VISIBLE_DEVICES in logger @Xiangxu-0103 in https://github.com/open-mmlab/mmengine/pull/1172

Docs

  • Translate infer.md by @Hongru-Xiao in https://github.com/open-mmlab/mmengine/pull/1121

  • Fix a missing comma in tutorials/runner.md by @gy-7 in https://github.com/open-mmlab/mmengine/pull/1146

  • Fix typo in comment by @YQisme in https://github.com/open-mmlab/mmengine/pull/1154

  • Translate data_element.md by @xin-li-67 in https://github.com/open-mmlab/mmengine/pull/1067

  • Add the usage of clearml by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/1180

Contributors

A total of 19 developers contributed to this release. Thanks @Hongru-Xiao @i-aki-y @Bomsw @KickCellarDoor @zhouzaida @YQisme @gachiemchiep @CescMessi @W-ZN @Ginray @adrianjoshua-strutt @CokeDong @xin-li-67 @Xiangxu-0103 @HAOCHENYE @Shiyang980713 @TankNee @zimonitrome @gy-7

v0.7.3 (04/28/2023)

Highlights

  • Support using MLflow to record experiment data

  • Support registering callable objects to the registry

New Features & Enhancements

  • Add MLflowVisBackend by @sh0622-kim in https://github.com/open-mmlab/mmengine/pull/878

  • Support customizing worker_init_fn in dataloader config by @shufanwu in https://github.com/open-mmlab/mmengine/pull/1038

  • Make the parameters of get_model_complexity_info() friendly by @sjiang95 in https://github.com/open-mmlab/mmengine/pull/1056

  • Add torch_npu optimizer by @luomaoling in https://github.com/open-mmlab/mmengine/pull/1079

  • Support registering callable objects @C1rN09 in https://github.com/open-mmlab/mmengine/pull/595

  • Complement type hint of get_model_complexity_info() by @sjiang95 in https://github.com/open-mmlab/mmengine/pull/1064

  • MessageHub.get_info() supports returning a default value by @enkilee in https://github.com/open-mmlab/mmengine/pull/991

  • Refactor logger hook unit test by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/797

  • Support BoolTensor and LongTensor on Ascend NPU by @Ginray in https://github.com/open-mmlab/mmengine/pull/1011

  • Remove useless variable declaration by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/1052

  • Enhance the support for MLU device by @josh6688 in https://github.com/open-mmlab/mmengine/pull/1075

  • Support configuring synchronization directory for BaseMetric by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/1074

  • Support accepting multiple input_shape for get_model_complexity_info by @sjiang95 in https://github.com/open-mmlab/mmengine/pull/1065

  • Enhance docstring and error catching in MessageHub by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/1098

  • Enhance the efficiency of Visualizer.show by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/1015

  • Update repo list by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/1108

  • Enhance error message during custom import by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/1102

  • Support _load_state_dict_post_hooks in load_state_dict by @mzr1996 in https://github.com/open-mmlab/mmengine/pull/1103

Bug fixes

  • Fix publishing multiple checkpoints when using multiple GPUs by @JunweiZheng93 in https://github.com/open-mmlab/mmengine/pull/1070

  • Fix error when log_with_hierarchy is True by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/1085

  • Call SyncBufferHook before validation in IterBasedTrainLoop by @Luo-Yihang in https://github.com/open-mmlab/mmengine/pull/982

  • Fix the resuming error caused by HistoryBuffer by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/1078

  • Failed to remove the previous best checkpoints by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/1086

  • Fix using incorrect local rank by @C1rN09 in https://github.com/open-mmlab/mmengine/pull/973

  • No training log when the num of iterations is smaller than the default interval by @shufanwu in https://github.com/open-mmlab/mmengine/pull/1046

  • collate_fn could not be a function object by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/1093

  • Fix optimizer.state could be saved in cuda:0 by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/966

  • Fix building unnecessary loop during train/test/val by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/1107

Docs

  • Introduce the use of wandb and tensorboard by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/912

  • Translate tutorials/evaluation.md by @LEFTeyex in https://github.com/open-mmlab/mmengine/pull/1053

  • Translate design/evaluation.md by @zccjjj in https://github.com/open-mmlab/mmengine/pull/1062

  • Fix three typos in runner by @jsrdcht in https://github.com/open-mmlab/mmengine/pull/1068

  • Translate migration/hook.md to English by @SheffieldCao in https://github.com/open-mmlab/mmengine/pull/1054

  • Replace MMCls with MMPretrain in docs by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/1096

Contributors

A total of 17 developers contributed to this release. Thanks @enkilee, @JunweiZheng93, @sh0622-kim, @jsrdcht, @SheffieldCao, @josh6688, @mzr1996, @zhouzaida, @shufanwu, @Luo-Yihang, @C1rN09, @LEFTeyex, @zccjjj, @Ginray, @HAOCHENYE, @sjiang95, @luomaoling

v0.7.2 (04/06/2023)

Bug fixes

  • Align the evaluation result in log by @kitecats in https://github.com/open-mmlab/mmengine/pull/1034

  • Update the logic to calculate the repeat_factors in ClassBalancedDataset by @BIGWangYuDong in https://github.com/open-mmlab/mmengine/pull/1048

  • Initialize sub-modules in DistributedDataParallel that define init_weights during initialization by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/1045

  • Refactor checkpointhook unittest by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/789

Contributors

A total of 3 developers contributed to this release. Thanks @kitecats, @BIGWangYuDong, @HAOCHENYE

v0.7.1 (04/03/2023)

Highlights

  • Support compiling the model and enabling mixed-precision training at the same time

  • Fix the bug where the logs cannot be properly saved to the log file after calling torch.compile

New Features & Enhancements

  • Add mmpretrain to the MODULE2PACKAGE. by @mzr1996 in https://github.com/open-mmlab/mmengine/pull/1002

  • Support using get_device in the compiled model by @C1rN09 in https://github.com/open-mmlab/mmengine/pull/1004

  • Make sure the FileHandler still alive after torch.compile by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/1021

  • Unify the use of print_log and logger.info(warning) by @LEFTeyex in https://github.com/open-mmlab/mmengine/pull/997

  • Publish models after training if published_keys is set in CheckpointHook by @KerwinKai in https://github.com/open-mmlab/mmengine/pull/987

  • Enhance the error catching in registry by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/1010

  • Do not print config if it is empty by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/1028

Bug fixes

  • Fix there is no space between data_time and metric in logs by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/1025

Docs

  • Minor fixes in EN docs to remove or replace unicode chars with ascii by @evdcush in https://github.com/open-mmlab/mmengine/pull/1018

Contributors

A total of 7 developers contributed to this release. Thanks @LEFTeyex, @KerwinKai, @mzr1996, @evdcush, @C1rN09, @HAOCHENYE, @zhouzaida

v0.7.0 (03/16/2023)

Highlights

  • Support PyTorch 2.0! Accelerate training by compiling models. See the tutorial Model Compilation for details

  • Add EarlyStoppingHook to stop training when the metric does not improve

New Features & Enhancements

  • Add configurations to support torch.compile in Runner by @C1rN09 in https://github.com/open-mmlab/mmengine/pull/976

  • Support EarlyStoppingHook by @nijkah in https://github.com/open-mmlab/mmengine/pull/739

  • Disable duplicated warning during distributed training by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/961

  • Add FUNCTIONS root Registry by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/983

  • Save the “memory” field to visualization backends by @enkilee in https://github.com/open-mmlab/mmengine/pull/974

  • Enable bf16 in AmpOptimWrapper by @C1rN09 in https://github.com/open-mmlab/mmengine/pull/960

  • Support writing data to vis_backend with prefix by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/972

  • Support exporting logs of different ranks in debug mode by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/968

  • Silence error when ManagerMixin built instance with duplicate name. by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/990

Bug fixes

  • Fix optim_wrapper unittest for pytorch < 1.10.0 by @C1rN09 in https://github.com/open-mmlab/mmengine/pull/975

  • Support calculating the flops of matmul with single dimension matrix by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/970

  • Fix repeated warning by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/992

  • Fix lint by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/993

  • Fix AMP in Ascend and support using NPUJITCompile environment by @luomaoling in https://github.com/open-mmlab/mmengine/pull/994

  • Fix inferencer gets wrong configs path by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/996

Docs

  • Translate “Debug Tricks” to English by @enkilee in https://github.com/open-mmlab/mmengine/pull/953

  • Translate “Model Analysis” document to English by @enkilee in https://github.com/open-mmlab/mmengine/pull/956

  • Translate “Model Complexity Analysis” to Chinese. by @VoyagerXvoyagerx in https://github.com/open-mmlab/mmengine/pull/969

  • Add a document about setting interval by @YuetianW in https://github.com/open-mmlab/mmengine/pull/964

  • Translate “how to set random seed” by @xin-li-67 in https://github.com/open-mmlab/mmengine/pull/930

  • Fix typo by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/965

  • Fix typo in hook document by @acdart in https://github.com/open-mmlab/mmengine/pull/980

  • Fix changelog date by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/986

Contributors

A total of 10 developers contributed to this release. Thanks @xin-li-67, @acdart, @enkilee, @YuetianW, @luomaoling, @nijkah, @VoyagerXvoyagerx, @zhouzaida, @HAOCHENYE, @C1rN09

v0.6.0 (02/24/2023)

Highlights

  • Support Apex with ApexOptimWrapper

  • Support analyzing model complexity.

  • Add Lion optimizer.

  • Support using environment variables in the config file.

New Features & Enhancements

  • Support model complexity computation by @tonysy in https://github.com/open-mmlab/mmengine/pull/779

  • Add Lion optimizer by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/952

  • Support Apex with ApexOptimWrapper by @xcnick in https://github.com/open-mmlab/mmengine/pull/742

  • Support using environment variable in config file. by @jbwang1997 in https://github.com/open-mmlab/mmengine/pull/744

  • Improve registry infer_scope by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/334

  • Support configuring timeout in dist configuration by @apacha in https://github.com/open-mmlab/mmengine/pull/877

  • Beautify the print result of the registry by @Eiuyc in https://github.com/open-mmlab/mmengine/pull/922

  • Refine the style of table by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/941

  • Refine the repr of Registry by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/942

  • Feature NPUProfilerHook by @luomaoling in https://github.com/open-mmlab/mmengine/pull/925

  • Refactor hooks unittest by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/946

  • Temporarily fix collect_env raise errors and stops programs by @C1rN09 in https://github.com/open-mmlab/mmengine/pull/944

  • Make sure Tensors to broadcast is contiguous by @XWHtorrentx in https://github.com/open-mmlab/mmengine/pull/948

  • Clean the UT warning caused by pytest by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/947

Bug fixes

  • Backend_args should not be modified by get_file_backend by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/897

  • Support update np.ScalarType data in message_hub by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/898

  • Support rendering Chinese character in Visualizer by @KevinNuNu in https://github.com/open-mmlab/mmengine/pull/887

  • Fix the bug of DefaultOptimWrapperConstructor when the shared parameters do not require the grad by @HIT-cwh in https://github.com/open-mmlab/mmengine/pull/903

Docs

  • Add the document for the transition between IterBasedTraining and EpochBasedTraining by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/926

  • Introduce how to set random seed by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/914

  • Count FLOPs and parameters by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/939

  • Enhance README by @Xiangxu-0103 in https://github.com/open-mmlab/mmengine/pull/835

  • Add a document about debug tricks by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/938

  • Refine the format of changelog and visualization document by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/906

  • Move examples to a new directory by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/911

  • Resolve warnings in sphinx build by @C1rN09 in https://github.com/open-mmlab/mmengine/pull/915

  • Fix docstring by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/913

  • How to set the interval parameter by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/917

  • Temporarily skip errors in building pdf docs at readthedocs by @C1rN09 in https://github.com/open-mmlab/mmengine/pull/928

  • Add the links of twitter, discord, medium, and youtube by @vansin in https://github.com/open-mmlab/mmengine/pull/924

  • Fix typo shedule by @Dai-Wenxun in https://github.com/open-mmlab/mmengine/pull/936

  • Fix failed URL by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/943

Contributors

A total of 15 developers contributed to this release. Thanks @Eiuyc, @xcnick, @KevinNuNu, @XWHtorrentx, @tonysy, @zhouzaida, @Xiangxu-0103, @Dai-Wenxun, @jbwang1997, @apacha, @C1rN09, @HIT-cwh, @vansin, @HAOCHENYE, @luomaoling.

v0.5.0 (01/20/2023)

Highlights

  • Add BaseInferencer to provide a general inference interface

  • Provide ReduceOnPlateauParamScheduler to adjust learning rate by metric

  • Deprecate support for Python3.6

New Features & Enhancements

  • Deprecate support for Python3.6 by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/863

  • Support non-scalar type metric value by @mzr1996 in https://github.com/open-mmlab/mmengine/pull/827

  • Remove unnecessary calls and lazily import to speed import performance by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/837

  • Support ReduceOnPlateauParamScheduler by @LEFTeyex in https://github.com/open-mmlab/mmengine/pull/819

  • Disable warning of subprocess launched by dataloader by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/870

  • Add BaseInferencer to provide general interface by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/874

Bug Fixes

  • Fix support for Ascend device by @wangjiangben-hw in https://github.com/open-mmlab/mmengine/pull/847

  • Fix Config cannot parse base config when there is . in tmp path, etc. tmp/a.b/c by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/856

  • Fix unloaded weights will not be initialized when using PretrainedIinit by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/764

  • Fix error package name defined in PKG2PROJECT by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/872

Docs

  • Fix typos in advanced_tutorials/logging.md by @RangeKing in https://github.com/open-mmlab/mmengine/pull/861

  • Translate CN train_a_gan to EN by @yaqi0510 in https://github.com/open-mmlab/mmengine/pull/860

  • Update fileio.md by @Xiangxu-0103 in https://github.com/open-mmlab/mmengine/pull/869

  • Add Chinese documentation for inferencer. by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/884

Contributors

A total of 8 developers contributed to this release. Thanks @LEFTeyex, @RangeKing, @yaqi0510, @Xiangxu-0103, @wangjiangben-hw, @mzr1996, @zhouzaida, @HAOCHENYE.

v0.4.0 (12/28/2022)

Highlights

  • Registry supports importing modules automatically

  • Upgrade the documentation and provide the English documentation

  • Provide ProfileHook to profile the running process

New Features & Enhancements

  • Add conf_path in PetrelBackend by @sunyc11 in https://github.com/open-mmlab/mmengine/pull/774

  • Support multiple --cfg-options. by @mzr1996 in https://github.com/open-mmlab/mmengine/pull/759

  • Support passing arguments to OptimWrapper.update_params by @twmht in https://github.com/open-mmlab/mmengine/pull/796

  • Make get_torchvision_model compatible with torch 1.13 by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/793

  • Support flat_decay_mult and fix bias_decay_mult of depth-wise-conv in DefaultOptimWrapperConstructor by @RangiLyu in https://github.com/open-mmlab/mmengine/pull/771

  • Registry supports importing modules automatically. by @RangiLyu in https://github.com/open-mmlab/mmengine/pull/643

  • Add profiler hook functionality by @BayMaxBHL in https://github.com/open-mmlab/mmengine/pull/768

  • Make TTAModel compatible with FSDP. by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/611

Bug Fixes

  • hub.get_model fails on some MMCls models by @C1rN09 in https://github.com/open-mmlab/mmengine/pull/784

  • Fix BaseModel.to and BaseDataPreprocessor.to to make them consistent with torch.nn.Module by @C1rN09 in https://github.com/open-mmlab/mmengine/pull/783

  • Fix creating a new logger at PretrainedInit by @xiexinch in https://github.com/open-mmlab/mmengine/pull/791

  • Fix ZeroRedundancyOptimizer ambiguous error with param groups when PyTorch < 1.12.0 by @C1rN09 in https://github.com/open-mmlab/mmengine/pull/818

  • Fix MessageHub set resumed key repeatedly by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/839

  • Add progress argument to load_from_http by @austinmw in https://github.com/open-mmlab/mmengine/pull/770

  • Ensure metrics is not empty when saving best checkpoint by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/849

Docs

  • Add contributing.md by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/754

  • Add gif to 15 min tutorial by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/748

  • Refactor documentations and translate them to English by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/786

  • Fix document link by @MambaWong in https://github.com/open-mmlab/mmengine/pull/775

  • Fix typos in EN contributing.md by @RangeKing in https://github.com/open-mmlab/mmengine/pull/792

  • Translate data transform docs. by @mzr1996 in https://github.com/open-mmlab/mmengine/pull/737

  • Replace markdown table with html table by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/800

  • Fix wrong example in Visualizer.draw_polygons by @lyviva in https://github.com/open-mmlab/mmengine/pull/798

  • Fix docstring format and rescale the images by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/802

  • Fix failed link in registry by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/811

  • Fix typos by @shanmo in https://github.com/open-mmlab/mmengine/pull/814

  • Fix wrong links and typos in docs by @shanmo in https://github.com/open-mmlab/mmengine/pull/815

  • Translate save_gpu_memory.md by @xin-li-67 in https://github.com/open-mmlab/mmengine/pull/803

  • Translate the documentation of hook design by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/780

  • Fix docstring format by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/816

  • Translate registry.md by @xin-li-67 in https://github.com/open-mmlab/mmengine/pull/817

  • Update docstring of BaseDataElement by @Xiangxu-0103 in https://github.com/open-mmlab/mmengine/pull/836

  • Fix typo by @Xiangxu-0103 in https://github.com/open-mmlab/mmengine/pull/841

  • Update docstring of structures by @Xiangxu-0103 in https://github.com/open-mmlab/mmengine/pull/840

  • Translate optim_wrapper.md by @xin-li-67 in https://github.com/open-mmlab/mmengine/pull/833

  • Fix link error in initialize tutorial. by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/843

  • Fix table in initialized.md by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/844

Contributors

A total of 16 developers contributed to this release. Thanks @BayMaxBHL, @RangeKing, @Xiangxu-0103, @xin-li-67, @twmht, @shanmo, @sunyc11, @lyviva, @austinmw, @xiexinch, @mzr1996, @RangiLyu, @MambaWong, @C1rN09, @zhouzaida, @HAOCHENYE

v0.3.2 (11/24/2022)

New Features & Enhancements

  • Send git errors to subprocess.PIPE by @austinmw in https://github.com/open-mmlab/mmengine/pull/717

  • Add a common TestRunnerTestCase to build a Runner instance. by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/631

  • Align the log by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/436

  • Log the called order of hooks during training process by @songyuc in https://github.com/open-mmlab/mmengine/pull/672

  • Support setting eta_min_ratio in CosineAnnealingParamScheduler by @cir7 in https://github.com/open-mmlab/mmengine/pull/725

  • Enhance compatibility of revert_sync_batchnorm by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/695

Bug Fixes

  • Fix distributed_training.py in examples by @PingHGao in https://github.com/open-mmlab/mmengine/pull/700

  • Format the log of CheckpointLoader.load_checkpoint by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/685

  • Fix bug of CosineAnnealingParamScheduler by @fangyixiao18 in https://github.com/open-mmlab/mmengine/pull/735

  • Fix add_graph is not called bug by @shenmishajing in https://github.com/open-mmlab/mmengine/pull/632

  • Fix .pre-commit-config-zh-cn.yaml pyupgrade-repo github->gitee by @BayMaxBHL in https://github.com/open-mmlab/mmengine/pull/756

Docs

  • Add English docs of BaseDataset by @GT9505 in https://github.com/open-mmlab/mmengine/pull/713

  • Fix BaseDataset typo about lazy initialization by @MengzhangLI in https://github.com/open-mmlab/mmengine/pull/733

  • Fix typo by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/734

  • Translate visualization docs by @xin-li-67 in https://github.com/open-mmlab/mmengine/pull/692

v0.3.1 (11/09/2022)

Highlights

  • Fix error when saving best checkpoint in ddp-training

New Features & Enhancements

  • Replace print with print_log for those functions called by runner by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/686

Bug Fixes

  • Fix error when saving best checkpoint in ddp-training by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/682

Docs

  • Refine Chinese tutorials by @Xiangxu-0103 in https://github.com/open-mmlab/mmengine/pull/694

  • Add MMEval in README by @sanbuphy in https://github.com/open-mmlab/mmengine/pull/669

  • Fix error URL in runner docstring by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/668

  • Fix error evaluator type name in evaluator.md by @sanbuphy in https://github.com/open-mmlab/mmengine/pull/675

  • Fix typo in utils.md @sanbuphy in https://github.com/open-mmlab/mmengine/pull/702

v0.3.0 (11/02/2022)

New Features & Enhancements

  • Support running on Ascend chip by @wangjiangben-hw in https://github.com/open-mmlab/mmengine/pull/572

  • Support torch ZeroRedundancyOptimizer by @nijkah in https://github.com/open-mmlab/mmengine/pull/551

  • Add non-blocking feature to BaseDataPreprocessor by @shenmishajing in https://github.com/open-mmlab/mmengine/pull/618

  • Add documents for clip_grad, and support clip grad by value. by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/513

  • Add ROCm info when collecting env by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/633

  • Add a function to mark the deprecated function. by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/609

  • Call register_all_modules in Registry.get() by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/541

  • Deprecate _save_to_state_dict implemented in mmengine by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/610

  • Add ignore_keys in ConcatDataset by @BIGWangYuDong in https://github.com/open-mmlab/mmengine/pull/556

Docs

  • Fix cannot show changelog.md in chinese documents. by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/606

  • Fix Chinese docs whitespaces by @C1rN09 in https://github.com/open-mmlab/mmengine/pull/521

  • Translate installation and 15_min by @xin-li-67 in https://github.com/open-mmlab/mmengine/pull/629

  • Refine chinese doc by @Tau-J in https://github.com/open-mmlab/mmengine/pull/516

  • Add MMYOLO link in README by @Xiangxu-0103 in https://github.com/open-mmlab/mmengine/pull/634

  • Add MMEngine logo in docs by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/641

  • Fix docstring of BaseDataset by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/656

  • Fix docstring and documentation used for hub.get_model by @zengyh1900 in https://github.com/open-mmlab/mmengine/pull/659

  • Fix typo in docs/zh_cn/advanced_tutorials/visualization.md by @MambaWong in https://github.com/open-mmlab/mmengine/pull/616

  • Fix typo docstring of DefaultOptimWrapperConstructor by @triple-Mu in https://github.com/open-mmlab/mmengine/pull/644

  • Fix typo in advanced tutorial by @cxiang26 in https://github.com/open-mmlab/mmengine/pull/650

  • Fix typo in Config docstring by @sanbuphy in https://github.com/open-mmlab/mmengine/pull/654

  • Fix typo in docs/zh_cn/tutorials/config.md by @Xiangxu-0103 in https://github.com/open-mmlab/mmengine/pull/596

  • Fix typo in docs/zh_cn/tutorials/model.md by @C1rN09 in https://github.com/open-mmlab/mmengine/pull/598

Bug Fixes

  • Fix error calculation of eta_min in CosineRestartParamScheduler by @Z-Fran in https://github.com/open-mmlab/mmengine/pull/639

  • Fix BaseDataPreprocessor.cast_data could not handle string data by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/602

  • Make autocast compatible with mps by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/587

  • Fix error format of log message by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/508

  • Fix error implementation of is_model_wrapper by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/640

  • Fix VisBackend.add_config is not called by @shenmishajing in https://github.com/open-mmlab/mmengine/pull/613

  • Change strict_load of EMAHook to False by default by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/642

  • Fix open encoding problem of Config in Windows by @sanbuphy in https://github.com/open-mmlab/mmengine/pull/648

  • Fix the total number of iterations in log is a float number. by @jbwang1997 in https://github.com/open-mmlab/mmengine/pull/604

  • Fix pip upgrade CI by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/622

New Contributors

  • @shenmishajing made their first contribution in https://github.com/open-mmlab/mmengine/pull/618

  • @Xiangxu-0103 made their first contribution in https://github.com/open-mmlab/mmengine/pull/596

  • @Tau-J made their first contribution in https://github.com/open-mmlab/mmengine/pull/516

  • @wangjiangben-hw made their first contribution in https://github.com/open-mmlab/mmengine/pull/572

  • @triple-Mu made their first contribution in https://github.com/open-mmlab/mmengine/pull/644

  • @sanbuphy made their first contribution in https://github.com/open-mmlab/mmengine/pull/648

  • @Z-Fran made their first contribution in https://github.com/open-mmlab/mmengine/pull/639

  • @BIGWangYuDong made their first contribution in https://github.com/open-mmlab/mmengine/pull/556

  • @zengyh1900 made their first contribution in https://github.com/open-mmlab/mmengine/pull/659

v0.2.0 (10/11/2022)

New Features & Enhancements

  • Add SMDDP backend and support running on AWS by @austinmw in https://github.com/open-mmlab/mmengine/pull/579

  • Refactor FileIO but without breaking bc by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/533

  • Add test time augmentation base model by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/538

  • Use torch.lerp\_() to speed up EMA by @RangiLyu in https://github.com/open-mmlab/mmengine/pull/519

  • Support converting BN to SyncBN by config by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/506

  • Support defining metric name in wandb backend by @okotaku in https://github.com/open-mmlab/mmengine/pull/509

  • Add dockerfile by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/347

Docs

  • Fix API files of English documentation by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/525

  • Fix typo in instance_data.py by @Dai-Wenxun in https://github.com/open-mmlab/mmengine/pull/530

  • Fix the docstring of the model sub-package by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/573

  • Fix a spelling error in docs/zh_cn by @cxiang26 in https://github.com/open-mmlab/mmengine/pull/548

  • Fix typo in docstring by @MengzhangLI in https://github.com/open-mmlab/mmengine/pull/527

  • Update config.md by @Zhengfei-0311 in https://github.com/open-mmlab/mmengine/pull/562

Bug Fixes

  • Fix LogProcessor does not smooth loss if the name of loss doesn’t start with loss by @liuyanyi in https://github.com/open-mmlab/mmengine/pull/539

  • Fix failed to enable detect_anomalous_params in MMSeparateDistributedDataParallel by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/588

  • Fix CheckpointHook behavior unexpected if given filename_tmpl argument by @C1rN09 in https://github.com/open-mmlab/mmengine/pull/518

  • Fix error argument sequence in FSDP by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/520

  • Fix uploading image in wandb backend @okotaku in https://github.com/open-mmlab/mmengine/pull/510

  • Fix loading state dictionary in EMAHook by @okotaku in https://github.com/open-mmlab/mmengine/pull/507

  • Fix circle import in EMAHook by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/523

  • Fix unit test could fail caused by MultiProcessTestCase by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/535

  • Remove unnecessary “if statement” in Registry by @MambaWong in https://github.com/open-mmlab/mmengine/pull/536

  • Fix _save_to_state_dict by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/542

  • Support comparing NumPy array dataset meta in Runner.resume by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/511

  • Use get instead of pop to dump runner_type in build_runner_from_cfg by @nijkah in https://github.com/open-mmlab/mmengine/pull/549

  • Upgrade pre-commit hooks by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/576

  • Delete the error comment in registry.md by @vansin in https://github.com/open-mmlab/mmengine/pull/514

  • Fix Some out-of-date unit tests by @C1rN09 in https://github.com/open-mmlab/mmengine/pull/586

  • Fix typo in MMFullyShardedDataParallel by @yhna940 in https://github.com/open-mmlab/mmengine/pull/569

  • Update Github Action CI and CircleCI by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/512

  • Fix unit test in windows by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/515

  • Fix merge ci & multiprocessing unit test by @HAOCHENYE in https://github.com/open-mmlab/mmengine/pull/529

New Contributors

  • @okotaku made their first contribution in https://github.com/open-mmlab/mmengine/pull/510

  • @MengzhangLI made their first contribution in https://github.com/open-mmlab/mmengine/pull/527

  • @MambaWong made their first contribution in https://github.com/open-mmlab/mmengine/pull/536

  • @cxiang26 made their first contribution in https://github.com/open-mmlab/mmengine/pull/548

  • @nijkah made their first contribution in https://github.com/open-mmlab/mmengine/pull/549

  • @Zhengfei-0311 made their first contribution in https://github.com/open-mmlab/mmengine/pull/562

  • @austinmw made their first contribution in https://github.com/open-mmlab/mmengine/pull/579

  • @yhna940 made their first contribution in https://github.com/open-mmlab/mmengine/pull/569

  • @liuyanyi made their first contribution in https://github.com/open-mmlab/mmengine/pull/539

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