* [Fix] Config name in ut

* lint

* [WIP] Refactor data flow

* model return

* [WIP] Refactor data flow

* support data_samples is optional

* fix benchmark

* fix base

* minors

* rebase

* fix api

* ut

* fix api inference

* comments

* docstring

* docstring

* docstring

* fix bug of slide inference

* add assert c > 1

* [WIP] mmcv-clean

* [WIP]Remove modules from mmcv.runner and mmcv.utils

* wip

* fix import mmengine

* remove ut

* loadcheckpoint in mae

* [Fix] Fix repo based on refactory standard

* fix ut

* [Feature] Add P1 DataTransform

* fix unit test error

* fix @cache_randomness location

* [Fix] Fix after iter `SegVisualizationHook`

* ut

* [Fix] Fix SegLocalVisualizer gt_sem_seg cuda tensor error

* fix ut error and add config visualizer dict

* fix ut error

* [Feature] Add SegVisualizer

* change name to visualizer_example

* fix inference api

* fix video demo and refine inference api

* fix

* mmseg compose

* set default device to cuda:0

* fix import

* update dir

* rm engine/visualizer ut

* refine inference api and docs

* rename

Co-authored-by: MengzhangLI <mcmong@pku.edu.cn>

* [Feature] Add SegVisualizer

* change name to visualizer_example

* fix typo

* refactor folder structure

* add load image from ndarray pipeline

* fix import

* [Fix] Fix register_all_modules and imports

* fix transforms import

[Fix]Add label_map and reduce_zero_label in metainfo of dataset and deprecate reduce_zero_label in load annotation

* fix docstring

* fix ut for optimizer cosntructor

* [Fix]: Fix lint

* [WIP]: Add mae seg config

* [Feature]: Add MAE seg

* [Fix]: Fix mae dataset img scale bug

* [Fix]: Fix lint

* [Feature]: Change mae config to mae_segmentation's config

* [Feature]: Add interpolate pe when loading

* [Fix]: Fix pos_embed not used bug

* [Fix]: Fix lint

* [Fix]: Init rel pos embed with zeros

* [Fix]: Fix lint

* [Fix]: Change the type name of backbone to MAE

* [Fix]: Delete ade20k_512x512.py

* [Fix]: Use mmseg provided ade20k.py

* [Fix]: Change 1 sample per gpu to 2 samples per gpu

* [Fix]: Fix conflict

* [Refactor]: Use the TransformerEncoderLayer of  BEiT

* [Feature]: Add UT

* [Fix]: Change the default value of qv bias to False

* [Fix]: Initialize relative pos table with zeros

* [Fix]: Delete redundant code in mae

* [Fix]: Fix lint

* [Fix]: Rename qkv_bias to qv_bias

* [Fix]: Add docstring to weight_init of MAEAttention

* [Refactor]: Delete qv_bias param

* [Fix]: Add reference to fix_init_weight

* [Fix]: Fix lint

* [Fix]: Delete extra crop size

* [Refactor]: Rename mae

* [Fix]: Set bias to True

* [Fix]: Delete redundant params

* [Fix]: Fix lint

* [Fix]: Fix UT

* [Fix]: Add resize abs pos embed

* [Fix]: Fix UT

* [Refactor]: Use build layer

* [Fix]: Add licsense and fix docstring

* [Fix]: Fix docstring

* [Feature]: Add README metafile

* [Fix]: Change 640 to 512

* [Fix]: Fix README

* fix readme of MAE

Co-authored-by: MengzhangLI <mcmong@pku.edu.cn>

* move layer_decay_optimizer_constructor

* fix

* fix

* merge test_core

* fix

* add DeprecationWarning

* fix DeprecationWarning

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix test

* fix

* fix

* fix

* fix

* fix ut

* fix

* fix

* Update tests/test_core/test_layer_decay_optimizer_constructor.py

* fix

* fix

* fix

* fix

Co-authored-by: MeowZheng <meowzheng@outlook.com>
Co-authored-by: Miao Zheng <76149310+MeowZheng@users.noreply.github.com>