* [Fix] Only reserve one best checkpoint

* [Fix] Only reserve one best checkpoint

* Fix unit test

* shutdown logging

* clean the save_checkpoint logic

* Fix log processor

* Fix custom key

* support mlu device

* support mlu device

* fix lint error

* fix lint error builder.py

* fix lint error in amp.py

* fix lint errors

* fix data type in instance_data.py

* customize worker init fn function

* add assert

* narrow worker_init_fn type

* align the evaluation result in log

* align the evaluation result in log

* align the evaluation result in log

* align the evaluation result in log

* fix test log_processor

* [Enhance] Make sure the FileHandler still alive after

* Resume filter

* avoid bc

* Fix unit test

* clean the code

* revert changes and set mode from 'm' to 'a'

* mode to file_mode

* add comments

* refine comments

* Fix duplicated the

* [Enhance] Make sure the FileHandler still alive after

* minor refine

* minor refine

* refine unit test

* update CI

* update CI

* Fix CI

* fix build_windows

* fix build_windows

* fix build_windows

* fix build_windows

* debug

* debug

* debug

* debug

* debug

* debug

* debug

* test windows CI

* Fix

* Debug

* Fix unit test

* Fix unit test

* Fix CI

* update image version

* update action/checkout and action/setup-python

* add condition to skip test compile

* [Fix] Update CI and fix unit test

* check compiling by attempting compilation

* check compiling by attempting compilation

* check compiling by attempting compilation

* use windows-2022 in runs on

* Apply suggestions from code review

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

* update yml

* remove unnecessary assert

* assert grad is None according to the PyTorch version

* Fix code

---------

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

* Log with prefix

* Fix test of loggerhook

* minor refine

* minor refine

* Fix unit test

* clean the code

* deepcopy in method

* replace regex

* Fix as comment

* Enhance readable

* rename reserve_prefix to remove_prefix

* Fix as comment

* Refine unit test

* Adjust sequence

* clean the code

* clean the code

* revert renaming reserve prefix

* Count the dataloader length in _get_dataloader_size

* enable compile configurations to support torch.compile in Runner

* enable compilation in train, val and test

* fix as comments

* add docstring to illustrate usage

* minor refine error message

* add unittests

* fix ut skip

* add logging message to inform users

* compile `train_step`, `val_step`, `test_step` instead

* fix as comments

* revert to compile `train_step` only due to pt2 issue

* add documentation about torch.compile

* [Enhancement] Add FUNCTIONS Registry

* Refine as comment

* clean the code

* Replace warning with print_log

* Add comments for testing warning

* [Enhancement] Clear UT warning caused by pytest

* revert some changes for unittest

* revert

* update

* clear a numpy warning

* Update tests/test_visualizer/test_vis_backend.py

* fix a warning

* [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