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Created with Raphaël 2.2.026May2523191696428Apr27262524232120141211107654330Mar2928261917161514131210987652127Feb2423222120191615141387653131Jan29201613121096430Dec282726232221201916131211108765429Nov25242322211918171598632131Oct2827262421191817161514131211109826Sep221915141397131Aug302928262524232221191817161513119842130Jul272221201915141312865430Jun2928272423222117161514131098765131May302726252421201918171312106529Apr27262524222120151285131Mar30292826251413121098[Fix] Fix `ProfileHook` can not profile performance in ddp-training (#1140)[Fix] Close MLflowVisBackend only if active (#1144) (#1151)Fix unit test error due to program abort caused by limited resources (#1162)[Feature] Support dipu device (#1127)fix format (#1160)[Feature] MLflowVisBackend adds a new paramter to select config keys to be saved (#1159)[Docs] Translate data_element.md (#1067)[Fix] Correctly record random seed in log (#1152)[Docs] Fix a typo (#1154)[Docs] Fix a missing comma in tutorials/runner.md (#1146)[Enhancement] Add an option to control whether to use progress bar in BaseInference (#1135)Add a text classification in examples (#1122)[Docs] Move translation of infer.md to en (#1138)[Docs] Translate infer.md (#1121)[Enhance] Enable full precision training on Ascend NPU (#1109)[Docs] Limit urllib3 version for docs building (#1132)[Fix] Correctly saves metadata of state_dict when save checkpoints (#1131)[Fix] Fix the incorrect device of inputs in get_model_complexity_info (#1130)[Fix] The ann_file and data_root of BaseDataset can be None (#850)[Refactor] Refactor the unit tests of SyncBuffersHook (#813)Bump version to v0.7.3 (#1118)v0.7.3v0.7.3[Fix] Fix build unnecessary loop during train/test/val (#1107)[Imporve] Support `_load_state_dict_post_hooks` in `load_state_dict`. (#1103)[Fix] Save optimizer.state_dict() in cpu by default (#966)[Enhance] Enhance error message during custom import (#1102)[Docs] Update links (#1108)[Fix] collate_fn does not support passing a function object (#1093)[Fix] No training log when the num of iterations is smaller than the interval (#1046)[Fix] Distributed use correct local rank (#973)[Enhance] Visualizer.show supports calling opencv to show images (#1015)[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)

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