* Bump version to v0.24.1

* version.py

* changelog.md

* fix docstring

* fix ut for optimizer cosntructor

* [WIP] Bump version to v0.24.0

* changelog

* Update docs/en/changelog.md

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

* Update docs/en/changelog.md

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

* Update docs/en/changelog.md

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

* Update docs/en/changelog.md

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

* Update docs/en/changelog.md

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

* Update docs/en/changelog.md

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

* words

* typo

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

* [Fix] Fix the bug in binary_cross_entropy

 Fix the bug in binary_cross_entropy
'label.max() <= 1' should mask out ignore_index, since the ignore_index often set as 255.

* [Fix] Fix the bug in binary_cross_entropy, add comments

As the ignore_index often set as 255, so the binary class label check should mask out ignore_index.

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

* [Fix] Fix the bug in binary_cross_entropy

As the ignore_index often set as 255, so the binary class label check should mask out ignore_index.

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

* [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>

* [Refactor] Add build_pos_embed and build_layers for BEiT

* Update mmseg/models/backbones/beit.py

* 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>

* [Refactor] Refactor transfomer encoder layer

* fix ffn cfg

* fix drop path cfg

* private init func

* fix qv bias

* fix qkv bias

* fix qkv bias

* wH->Wh

* [Enhancement] MMCV maximum_version set to 1.6

* [Enhancement] MMCV maximum_version set to 1.6

* [fix] register optimizer onstructor with mmseg

* fix lint

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* Update tests/test_core/test_optimizer.py

* Update tests/test_core/test_optimizer.py

* Update tests/test_core/test_optimizer.py

* Update tests/test_core/test_optimizer.py

* fix lint

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

* [Fix] Fix the bug that binary cross entropy loss doesn't support single channel input

* imcrease coverage

* modify implementation

* increase coverage

* add assert

* modify implementation

* enshollow condition judge

* fix

* [Fix] Input previous results for the latter cascade_decode_head

* minors

* [Enhance] Add extra dataloader settings in configs

* val default samples

* val default samples

* del unuse

* del unused

* Avoid converting label ids twice by label map during evaluation

* Update mmseg/datasets/custom.py

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

* lint

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

* fix bug about label_map

* Update mmseg/datasets/pipelines/loading.py

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

* lint

Co-authored-by: MengzhangLI <mcmong@pku.edu.cn>
Co-authored-by: MeowZheng <meowzheng@outlook.com>

* Add DistSamplerSeedHook for when runner is EpochBasedRunner

* add comment

* add with cp to mit and vit

* add test unit

Co-authored-by: jiangyitong <jiangyitong1@sensetime.com>

* Bump version to v0.23.0

* new contributor

* rephrase

* tyoi

* typo

* get_started

* typo

* rephrase

* rephrase

* rephrase

* [Fix] Add avg_non_ignore in cross entropy loss

* [Fix] Add avg_non_ignore in cross entropy loss

* add docstring

* fix ut

* fix docstring and comments

* fix

* fix bce

* fix avg_factor in BCE and add more ut

* add avg_non_ignore

* add more ut

* fix part of ut

* fix part of ut

* test avg_non_ignore would not affect ce/bce when reduction none/sum

* test avg_non_ignore would not affect ce/bce when reduction none/sum/mean

* re-organize ut

* re-organize ut

* re-organize ut

* re-organize hardcode case

* fix parts of comments

* fix another parts of comments

* fix

* [Feature] Add BEiT backbone

* fix

* fix

* fix

* fix

* add readme

* fix

* fix

* fix

* fix

* fix

* add link

* fix memory

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix test_beit.py

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* [Feature] Support file_client in dataset initialization

* docstring

* revise osp.exist

* support random seed for distributed sampler

* move mmseg/utils/dist_util.py to mmseg/core/utils/dist_util.py

* move mmseg/utils/dist_util.py to mmseg/core/utils/dist_util.py

* change dist sampler

* change dist sampler

* fix docstring in sync_random_seed

* Add training startup documentation

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* Support #1375: add demo/image_demo.py support for STARE

* Update mmseg/core/evaluation/class_names.py

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

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

* [Feature] add nlc2nchw2nlc and nchw2nlc2nchw

* add example

* add test, add **kwargs to make it more universal

* knet first commit

* fix import error in knet

* remove kernel update head from decoder head

* [Feature] Add kenerl updation for some decoder heads.

* [Feature] Add kenerl updation for some decoder heads.

* directly use forward_feature && modify other 3 decoder heads

* remover kernel_update attr

* delete unnecessary variables in forward function

* delete kernel update function

* delete kernel update function

* delete kernel_generate_head

* add unit test & comments in knet.py

* add copyright to fix lint error

* modify config names of knet

* rename swin-l 640

* upload models&logs and refactor knet_head.py

* modify docstrings and add some ut

* add url, modify docstring and add loss ut

* modify docstrings

* [Fix] Fix the bug that when all pixels in an image is ignored, the accuracy calculation raises ZeroDivisionError

* use eps

* all close

* add ignore test

* add eps

* change version to v0.22.0

* change version to v0.22.0

* add mmcls version in get_started.md

* add mmcls installation and move PR1299 into enhancement

* add mmcls installation and move PR1299 into enhancement

* remove MMCLS and make mmcv <=1.5.0 version in get_started.md

* fix typo

* upload original backbone and configs

* ConvNext Refactor

* ConvNext Refactor

* convnext customization refactor with mmseg style

* convnext customization refactor with mmseg style

* add ade20k_640x640.py

* upload files for training

* delete dist_optimizer_hook and remove layer_decay_optimizer_constructor

* check max(out_indices) < num_stages

* add unittest

* fix lint error

* use MMClassification backbone

* fix bugs in base_1k

* add mmcls in requirements/mminstall.txt

* add mmcls in requirements/mminstall.txt

* fix drop_path_rate and layer_scale_init_value

* use logger.info instead of print

* add mmcls in runtime.txt

* fix f string && delete

* add doctring in LearningRateDecayOptimizerConstructor and fix mmcls version in requirements

* fix typo in LearningRateDecayOptimizerConstructor

* use ConvNext models in unit test for LearningRateDecayOptimizerConstructor

* add unit test

* fix typo

* fix typo

* add layer_wise and fix redundant backbone.downsample_norm in it

* fix unit test

* give a ground truth lr_scale and weight_decay

* upload models and readme

* delete 'backbone.stem_norm' and 'backbone.downsample_norm' in get_num_layer()

* fix unit test and use mmcls url

* update md2yml.py and metafile

* fix typo

[Feature] Add `min_size` arg in `Resize` to keep the shape after resize bigger than slide window (#1318)

* [Feature] add setr_resize

* fix a bug

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix