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Created with Raphaël 2.2.023Apr2120141211107654330Mar2928261917161514131210987652127Feb2423222120191615141387653131Jan29201613121096430Dec282726232221201916131211108765429Nov25242322211918171598632131Oct2827262421191817161514131211109826Sep221915141397131Aug302928262524232221191817161513119842130Jul272221201915141312865430Jun2928272423222117161514131098765131May302726252421201918171312106529Apr27262524222120151285131Mar302928262514131210987654321[Enhancement] MessageHub.get_info() supports returning a default value (#991)[Enhance] Enhance docstring and error cathing in MessageHub (#1098)[Feature] get_model_complexity_info() supports multiple inputs (#1065)[Docs] Replace MMCls with MMPretrain in docs (#1096)[Docs] Translate the design/evaluation.md (#1062)[Fix] Fix the resuming error caused by HistoryBuffer (#1078)[Feature] Add torch_npu optimizer (#1079)[Fix] Failed to remove the previous best checkpoints (#1086)[Fix] Call SyncBufferHook before validation in IterBasedTrainLoop (#982)[Fix] Fix merge ci (#1089)[Fix] KeyError is thrown in _collect_scalars when log_with_hierarchy is True (#1085)[Enhance] Support configuring directory used to synchronize results in BaseMetric (#1074)[Feature] Support MLU backend (#1075)Fix] Fix three typos in runner (#1068)[Docs] Translate tutorials/evaluation.md (#1053)[Docs] Translate the migration/hook.md to English (#1054)[Fix] Fix publish multiple checkpoints when using multiple GPUs (#1059) (#1070)[Docs] Introduce the use of wandb and tensorboard (#912)[Enhance] Complement type hint of get_model_complexity_info() (#1064)[Feature] Support registering partial functions and more (#595)[Enhance] Make the parameters of get_model_complexity_info() friendly (#1056)[Enhance] Allow users to customize worker_init_fn of Dataloader (#1038)[Enhance] Remove useless variable declaration (#1052)[Enhancement] Support BoolTensor and LongTensor on Ascend NPU (#1011)[Feature] Add vis backend for MLflow. (#878)[Refactor] Refactor logger hook unit tests (#797)Bump version to v0.7.2 (#1051)v0.7.2v0.7.2[Refactor] Refactor checkpointhook unit tests (#789)[Fix] Initialize nested modules in ddp which define 'init_weights' method (#1045)[Fix] Update the ClassBalancedDataset logic to keep len(repeat_factors) = len(dataset) (#1048)[Enhancement] Align the evaluation result in log (#1034)[Enhance] Suppress registry warning (#1043)v0.7.1v0.7.1Bump version to 0.7.1 (#1007)[Enhance] Make sure the FileHandler still alive after `torch.compile` (#1021)[Enhancement] Do not print config if it is empty (#1028)[Enhance] Do no catch unnecessary exceptions in registry (#1010)Skip test_dist in Github Action (#1027)[Fix] Add PyTorch 2.0 CI and fix unit tests (#1026)[Feature] Publish models after training if published_keys is set in CheckpointHook (#987)[Docs] Add more social networking links (#1024)

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