* [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

* add npu device support

* add npu device support

* 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

* add memory in other log

* fix

* fix

* keep empty line

* [Enhancement] Add FUNCTIONS Registry

* Refine as comment

* clean the code

* Replace warning with print_log

* Add comments for testing warning

* [Feature] EarlyStoppingHook

* delete redundant line

* Assert stop_training and rename tests

* Fix UT

* rename `metric` to `monitor`

* Fix UT

* Fix UT

* edit docstring on patience

* Draft for new code

* fix ut

* add test case

* add test case

* fix ut

* Apply suggestions from code review

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

* Apply suggestions from code review

Co-authored-by: Mashiro <57566630+HAOCHENYE@users.noreply.github.com>

* Append hook

* Append hook

* Apply suggestions

* Update suggestions

* Update mmengine/hooks/__init__.py

* fix min_delta

* Apply suggestions from code review

* lint

* Apply suggestions from code review

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

* delete save_last

* infer rule more robust

* refine unit test

* Update mmengine/hooks/early_stopping_hook.py

---------

Co-authored-by: Zaida Zhou <58739961+zhouzaida@users.noreply.github.com>
Co-authored-by: Mashiro <57566630+HAOCHENYE@users.noreply.github.com>
Co-authored-by: zhouzaida <zhouzaida@163.com>
Co-authored-by: HAOCHENYE <21724054@zju.edu.cn>

* Add epoch 2 iter

* Add epoch 2 iter

* Refine chinese docs

* Add example for training CIFAR10 by iter

* minor refine

* Fix as comment

* Fix as comment

* Refine description

* Fix as comment

* minor refine

* Refine description

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

* Translate to en

* Adjust indent

---------

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

* [Docs] how to set the interval parameter

* fix link

* fix

* fix

* refine

* refine

* Update docs/zh_cn/common_usage/set_interval.md

Co-authored-by: Qian Zhao <112053249+C1rN09@users.noreply.github.com>

* Update index.rst

---------

Co-authored-by: Qian Zhao <112053249+C1rN09@users.noreply.github.com>

* Fix docstring

* fix

* add ZeroOptimizer to optim

* resolve `duplicate label` warnings

* upgrade docutils && shpinx to resolve `unknown directive or role` warnings

* fix typo

* resolve literal_block && heading warnings

* resolve json literal_block warnings

* resolve python literal_block warnings

* resolve bunches of reference warnings

* resolve bunches of docstring warnings

* resolve warnings in autosummary

* resolve remaining warnings in en docs

* resolve heading warnings in zh_cn docs

* resolve remaining warnings in zh_cn docs

* fix as comments

* fix as comments

* Adding missing pre-commit requirement to tests.txt

* Added support for setting a timeout for distributed learning

* Adding documentation about how to change the runtime timeout into the distributed manual.

* Fixed type in documentation to correctly specify an integer

* Removing type-cast after checking the correct type already before

* Update mmengine/dist/utils.py

Adding an explicit `is not None` to the check

Co-authored-by: Mashiro <57566630+HAOCHENYE@users.noreply.github.com>

* Removing explicit type check and replacing it with more pythonic way of assuming it is the right type and handling the exception if the type doesn't match.

* Removing pre-commit from test requirements again

* Simplified the code according to suggestions from PR

* Update distributed.md

---------

Co-authored-by: Mashiro <57566630+HAOCHENYE@users.noreply.github.com>
Co-authored-by: Zaida Zhou <58739961+zhouzaida@users.noreply.github.com>

* Disable warning of subprocess launched by dataloader

* Add type hint

* [Enhance] Remove unnecessary calls to speed import performance

* lazily import matplotlib

* minor refinement

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

* Refactor support.

* Fix non-scalar tags problem during validation

* Update tag processor.

* [Feature] Support registry auto import modules.

* update

* rebase and fix ut

* add docstring

* remove count_registered_modules

* update docstring

* resolve comments

* resolve comments

* rename ut

* fix warning

* avoid BC breaking

* update doc

* update doc

* resolve comments

* use current logger

* remove get_current_instance

* remove logger parameter at weight_init

* remove elif branch

* 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>

* Format log of

* Fix as comment

* Update mmengine/runner/checkpoint.py

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

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

* [Fix]Fix error URL in runner docstring

* [Fix]Fix error URL in runner docstring

* clean the code

* [Refine] Make get_state_dict directly call nn.Module._save_to_state_dict

* deprecate _save_to_state_dict

* deprecate _save_to_state_dict in 0.5.0

* deprecate in 0.3.0

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

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

* init npu

* Update mmengine/optim/optimizer/amp_optimizer_wrapper.py

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

* Update mmengine/dist/dist.py

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

* change to is_hccl_backend

* Update mmengine/optim/optimizer/amp_optimizer_wrapper.py

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

* add comment with AmpOptimWrapper

* Update mmengine/runner/amp.py

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

* Update mmengine/runner/amp.py

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

* add npu fn in base_model

* Update mmengine/optim/optimizer/amp_optimizer_wrapper.py

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

* clean lint

* Update mmengine/optim/optimizer/amp_optimizer_wrapper.py

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

* Update mmengine/model/base_model/base_model.py

Co-authored-by: Mashiro <57566630+HAOCHENYE@users.noreply.github.com>

* add is_npu_available

* try to fix

* Add comments

* Refine grammar

Co-authored-by: Zaida Zhou <58739961+zhouzaida@users.noreply.github.com>
Co-authored-by: Mashiro <57566630+HAOCHENYE@users.noreply.github.com>
Co-authored-by: HAOCHENYE <21724054@zju.edu.cn>