* [Enhance] Support non-scalar type metric value.

* Refactor support.

* Fix non-scalar tags problem during validation

* Update tag processor.

* enhance get_torchvision_model

* remove mmcv

* Add test of get_hooks_info()

* Change to use original Runner for get_hook_info() test

* Change to test after_train_iter hooks for get_hook_info()

* Complement the stages list

* Add logging hooks information in Runner.__init__()

* Rearrange the stages list

* Restore the stages to tuple type

* Clean the unnecessary changes

* Replace  statement with TestCase's methods

* add test stages in method_stages_map

* change the hooks info into a f-string

* return list(trigger_stages) directly

* change keys of method_stages_map

* Fix previous changes to method_stages_map.keys

* right allign the log

* fix as comment

* Add comments for magic number 3

* remove max_len_str

* Update mmengine/runner/log_processor.py

Co-authored-by: Zaida Zhou <58739961+zhouzaida@users.noreply.github.com>

* Add runner test cast

* Fix unit test

* fix unit test

* pop None if key does not exist

* Fix is_model_wrapper and force register class in test_runner

* [Fix] Fix is_model_wrapper

* destroy group after ut

* register module in testcase

* fix as comment

* minor refine

Co-authored-by: Zaida Zhou <58739961+zhouzaida@users.noreply.github.com>

* fix lint

Co-authored-by: Zaida Zhou <58739961+zhouzaida@users.noreply.github.com>

* [Fix] Make autocast compatible with mps

* Enhance unit test

* fix unit test

* clean the code

* fix unit test

* First commit

* add BaseTestTimeAugModel

* Add unit test

* move loop logic to test_step

* fix ddp test

* rename model to module

* optim __init__

* Fix as comment

* Fix as comment

* make val_step should not be called

* make tta do not inherit base model

* Fix unit test

* Enhance docstring

* Fix as comment

* Fix as comment

* minor refine

* minor refine

* minor refine

* fix unit test

* minor refine

* minor refine

* minor refine

* minor refine

* minor refine

* minor refine

* fix unit test

* [Feature] Support convert BN to SyncBN by config

* make unit test compatible with cpu

* Fix as comment

* fix unit test

* change signature of convert_sync_batchnorm: rename sync_bn to implemention

* fix unit test

* fix unit test

* [Refactor]: modify interface of Visualizer.add_datasample (#365)

* [Refactor] Refactor data flow: refine `data_preprocessor`. (#359)

* refine data_preprocessor

* remove unused BATCH_DATA alias

* Fix type hints

* rename move_data to cast_data

* [Refactor] Refactor data flow: collate data in `collate_fn` of `DataLoader`  (#323)

* acollate data in dataloader

* fix docstring

* refine comment

* fix as comment

* refactor default collate and psedo collate

* foramt test file

* fix docstring

* fix as comment

* rename elem to data_item

* minor fix

* fix as comment

* [Refactor] Refactor data flow: `data_batch` argument of `Evaluator.process is a `dict` (#360)

* refine evaluator and metric

* compatible with new default collate

* replace default collate with pseudo

* Handle data_batch in metric

* fix unit test

* fix unit test

* fix unit test

* minor refine

* make data_batch optional

make data_batch optional

* rename outputs to predictions

* fix ut

* rename predictions to outputs

* fix docstring

* fix docstring

* fix unit test

* make outputs and data_batch to kwargs

* fix unit test

* keep signature of metric

* fix ut

* rename pred_sample arguments to data_sample(Visualizer)

* fix loop and ut

* [refactor]: Refactor model dataflow (#398)

* [Refactor] Refactor data flow: refine `data_preprocessor`. (#359)

* refine data_preprocessor

* remove unused BATCH_DATA alias

* Fix type hints

* rename move_data to cast_data

* refactor model data flow

tmp_commt

tmp commit

* make val_cfg and test_cfg optional

* roll back runner

* pass test mmdet

* fix as comment

fix as comment

fix ci in DataPreprocessor

* fix ut

* fix ut

* fix rebase main

* [Fix]: Fix test val ddp (#462)

* [Fix] Fix docstring and type hint of data flow (#463)

* Fix docstring of data flow

* change signature of hook

* fix unit test

* resolve conflicts

* fix lint

* Rename data to structure

* adjust the way to import module

* adjust the way to import module

* rename Structure to Data Structures in docs api

* rename structure to structures

* support using some modules of mmengine without torch

* fix circleci config

* fix circleci config

* fix registry ut

* minor fix

* move init method from model/utils to model/weight_init.py

* move init method from model/utils to model/weight_init.py

* move sync_bn to model

* move functions depending on torch to dl_utils

* format import

* fix logging ut

* add weight init in model/__init__.py

* move get_config and get_model to mmengine/hub

* move log_processor.py to mmengine/runner

* fix ut

* Add TimeCounter in dl_utils/__init__.py

* Support build evaluator from list of built metric

* regist evaluator

* fix as comment

* add unit test

* support build optimizer wrapper from built Optimizer instance

* refine comments

* [Enhancement] Add unit test for get_priority

* fix priority ut

* fix typo

Co-authored-by: Wenwei Zhang <40779233+ZwwWayne@users.noreply.github.com>

* support training with data without metainfo

* clean the code

* clean the code

* [Enhance] Add `preprocess_cfg` as an argument of runner.

* Rename `preprocess_cfg` to `data_preprocessor`

* Fix docstring

* add build function for scheduler

* add unit test

add unit test

* handle convert_to_iter in build_scheduler_from_cfg

* restore deleted code

* format import

* fix lint

* fix build multiple scheduler

* add new unit test

* fix comment and error message

* fix comment and error message

* extract _parse_scheduler_cfg

* always call build_param_scheduler during train and resume. If there is only one optimizer, the defaut value for sheduler will be a list, otherwise there is multiple optimizer, the default value of sheduler will be a dict

* minor refine

* rename runner test exp name

* fix as comment

* minor refine

* fix ut

* only check parameter scheduler

* minor refine

* make scheduler default to None

* fix bc breaking

* refine warning message

* fix as comment

* fix as comment

* fix lint

* [Fix] Fix weight initializing and registry logging.

* sync params

* resolve comments

* [Enhance] Auto set the `end` of param schedulers.

* Add log output and unit test

* Update docstring

* Update unit tests of `CosineAnnealingParamScheduler`.

* fix resume message_hub

* add unit test

* support resume from messagehub

* minor refine

* add comment

* fix typo

* update docstring

* fix build multiple runner error

* fix comments

* fix cpu ci

* support dynamic interval in iterbasedtrainloop

* update typehint

* update typehint

* add dynamic interval in epochbasedtrainloop

* update

* fix

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

* fix unit test of autocast

* fix compatiblity of unit test of optimizerwrapper

* clean code

* fix as comment

* fix docstring

* [Feature]: Set different seed for diff rank

* [Feature]: Add log

* [Fix]: Fix lint

* [Fix]: Fix docstring

* [Fix]: Fix sampler seed

* [Fix]: Fix log bug

* [Fix]: Change diff_seed to diff_rank_seed

* [Fix]: Fix lint

* [Feat] Support revert syncbn

* use logger.info but not warning

* fix info string

* add autocast wrapper

* fix docstring

* fix docstring

* fix compare version

* fix unit test

* fix incompatible arguments

* fix as comment

* fix unit test

* rename auto_cast to autocast

* [Feat] Support save best ckpt

* reformat code

* rename function and reformat code

* fix logging info

* [Enhance] dump messagehub in runner.resume

* delete unnecessary code

* delete debugging code

Co-authored-by: imabackstabber <312276423@qq.com>

* support resume from ceph

* move func and refine

* delete symlink

* fix unittest

* perserve _allow_symlink and symlink

* 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

* 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

* [Feat]:support customizing evaluator

* fix keyname of determining using default evaluator or not

* add assertion

* fix typo

* Replace auto_scale_lr_cfg to auto_scale_lr

* Update

* 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