* support mlu

* add ut and refine docstring

* Fix setLevel of MMLogger

Fix setLevel of MMLogger

* add docstring and comment

* [Feature] Dump predictions to pickle file for offline evaluation.

* print_log

* merge context

* update unit test

* add docstring

* fix bug in AmpOptimWrapper

* add docstring for backward

* add warning and docstring for accumuate gradient

* fix docstring

* fix docstring

* add params_group method

* fix as comment

* fix as comment

* make default_value of loss_scale to dynamic

* Fix docstring

* decouple should update and should no sync

* rename attribute in OptimWrapper

* fix docstring

* fix comment

* fix comment

* fix as comment

* fix as comment and add unit test

* [Features]Add OnecycleLR

* [Features]Add OnecycleLR

* yapf disable

* build_iter_from_epoch

* add epoch

* fix args

* fix according to comments;

* lr-param

* fix according to comments

* defaults -> default to

* remove epoch and steps per step

* variabel names

* fix build train_loop during test

* fix build train_loop during test

* fix build train_loop during test

* fix build train_loop during test

* Fix as comment

* [Fix] Fix image dtype when enable_normalize=False.

* update ut

* move to collate

* update ut

* add module list

* add module list

* fix docstring

* [Feat]:support customizing evaluator

* fix keyname of determining using default evaluator or not

* add assertion

* fix typo

* [Feature] Support overwrite default scope with "_scope_".

* add ut

* add ut

* Replace auto_scale_lr_cfg to auto_scale_lr

* Update

* fix BaseDataPreprocessor

* fix BaseDataPreprocessor

* change device type to torch.device

* change device type to torch.device

* fix cpu method of base model

* Allow ImgDataPreprocessor do not normalize

* remove unnecessary type ignore

* make mean and std optional

* refine docstring

* fix BaseDataPreprocessor

* fix BaseDataPreprocessor

* change device type to torch.device

* change device type to torch.device

* fix cpu method of base model

* [Enhance] Optimize parameter updating speed in AveragedModel.

* add docstring

* add base model, ddp model and unit test

* add unit test

* fix unit test

* fix docstring

* fix cpu unit test

* refine base data preprocessor

* refine base data preprocessor

* refine interface of ddp module

* remove optimizer hook

* add forward

* fix as comment

* fix unit test

* fix as comment

* fix build optimizer wrapper

* rebase main and fix unit test

* stack_batch support stacking ndim tensor, add docstring for merge dict

* fix lint

* fix test loop

* make precision_context effective to data_preprocessor

* fix as comment

* fix as comment

* refine docstring

* change collate_data output typehints

* rename to_rgb to bgr_to_rgb and rgb_to_bgr

* support build basemodel with built DataPreprocessor

* fix as comment

* fix docstring

* rename datalist and support load ceph

* rename datalist and support load ceph

* remove check disk file path in _load_metainfo

* fix rename error

* fix rename error

* unit test error

* fix rename error

* remove unnecessary code

* fix lint

* Add auto scale lr fucntion

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

Co-authored-by: wangjiabao1.vendor <wangjiabao@pjlab.org.cn>

* support custom runner

* change build_runner_from_cfg

* refine docstring

* refine docstring

* fix visbackend warning

* fix

* Modify val_interval and val_begin to be the attributes of TrainLoop.

* update doc

* fix lint

* type hint

* fix build optimizer wrapper without type

* refine logic

* fix as comment

* fix optim_wrapper config error in docstring and unit test

* refine docstring of build_optim_wrapper

* Support multiple optimizers

* minor refinement

* improve unit tests

* minor fix

* Update unit tests for resuming or saving ckpt for multiple optimizers

* refine docstring

* refine docstring

* fix typo

* update docstring

* refactor the logic to build multiple optimizers

* resolve comments

* ParamSchedulers spports multiple optimizers

* add optimizer_wrapper

* fix comment and docstirng

* fix unit test

* add unit test

* refine docstring

* RuntimeInfoHook supports printing multi learning rates

* resolve comments

* add optimizer_wrapper

* fix mypy

* fix lint

* fix OptimizerWrapperDict docstring and add unit test

* rename OptimizerWrapper to OptimWrapper, OptimWrapperDict inherit OptimWrapper, and fix as comment

* Fix AmpOptimizerWrapper

* rename build_optmizer_wrapper to build_optim_wrapper

* refine optimizer wrapper

* fix AmpOptimWrapper.step, docstring

* resolve confict

* rename DefaultOptimConstructor

* fix as comment

* rename clig grad auguments

* refactor optim_wrapper config

* fix docstring of DefaultOptimWrapperConstructor

fix docstring of DefaultOptimWrapperConstructor

* add get_lr method to OptimWrapper and OptimWrapperDict

* skip some amp unit test

* fix unit test

* fix get_lr, get_momentum docstring

* refactor get_lr, get_momentum, fix as comment

* fix error message

Co-authored-by: zhouzaida <zhouzaida@163.com>

* [feat]:support display paramwise result in constructing optimizer

* [fix]:fix format issue

* delete unnecessary rank logic and fix format

* Support multiple optimizers

* minor refinement

* improve unit tests

* minor fix

* Update unit tests for resuming or saving ckpt for multiple optimizers

* refine docstring

* refine docstring

* fix typo

* update docstring

* refactor the logic to build multiple optimizers

* resolve comments

* ParamSchedulers spports multiple optimizers

* refine docstring

* RuntimeInfoHook supports printing multi learning rates

* resolve comments

* fix typo

* improve exception in call_hook

* refine unit test

* add test_call_hook

* refine

* update docstring and ut

* Update

* Add unittest

* [Fix] Fix ema state dict swapping in EMAHook.

* fix pt1.5 ut

* add more comments

* add the epoch/iter that begins validating

* fix lint

* add property and fix unit test

* minor changes

* fix typos and add unit test

* add unit test about begin

* fix docstring

* fix 'Runner' object has no attribute 'log_buffer'

* update

* add train