1. add sbert,veco,palm,space source code
2. support sbert sequence classification, token classification finetune
3. support veco sequence classification finetune
4. support palm nlg finetune
evaluation result: https://sheet.alibaba-inc.com/#/sheet/f7fdcc7f22bd5105 sheet:Maas
5. add ut for finetunes
6. add veco's taskdataset processor
7. add a common trainer for nlp, and a specific trainer for veco
8. merge some duplicate codes of models, preprocessors, pipelines
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9574105

    * add basic class of hook&metrics

* pre-commit passed

* change some comments

* pre commit passed

* 1. remove accuracy's groups 2. remove useless hooks 3. simplify priorities

* pre-commit passed

* fix a comment

* Merge branch 'master' into finetune_hooks_metrics

# Conflicts:
#	modelscope/metainfo.py

* pre-commit passed

* add basic class of hook&metrics

* pre-commit passed

* change some comments

* pre commit passed

* 1. remove accuracy's groups 2. remove useless hooks 3. simplify priorities

* pre-commit passed

* fix a comment

* Merge branch 'feat/finetune' of gitlab.alibaba-inc.com:Ali-MaaS/MaaS-lib into feat/finetune

* mv hooks related to modelscope/trainers/hooks

* mv priority back

* add torch mdoel base and test

* update hooks, trainer, import_util

* add torch epoch based trainer and dis utils

* add hooks

* fix warmup

* format code stype and fix warmup and add warmup unittest

* fix impls

* pre-commit check passed

* update hook and add EpochBasedTrainer

* add trainer unittest

* Merge branch 'feat/add_hooks' into feat/add_task

# Conflicts:
#	modelscope/models/base_torch.py
#	modelscope/trainers/hooks/hook.py
#	modelscope/trainers/trainer.py

* update unittest name

* rewrite taskdataset to trainer

* fix trainer and add unittest

* add unittest

* code: run to forward

* run through... but ugly code

* arrange some cls

* fix some errs

* revert some mistakes

* init check in

* Merge branch 'feat/add_hooks' into feat/add_task

# Conflicts:
#	modelscope/trainers/trainer.py

* test with bigger epoch and size

* add the default metrics class

* move build metrics code to a method

* merge add_task

* merge origin add_task

* add device initialization

* remove preprocessor arg for bool

* add task models

* move metric collect logic to metrics class

* pre-commit passed

* fix cr comments

* precommit passed

* add task models

* Merge remote-tracking branch 'origin/feat/add_task' into feat/backbone_head

* add comment

* change comment formats.

* fix comments

* fix ut bug

* fix comments

* add wrapper check

* fix comments

* pre commit passed

* fix cr comments

* solve a loop import problem

* fix ut bug

* fix ut errors

* change dummydataset to msdataset

* precommit passed

* merge add task

* backbone-head is build, model is not correctly loaded

* model load states matched

* result matched

* lint

* add veco/palm_v2 code

* merge master

* merge master success running

* add repr model name level

* Merge branch 'feat/veco_palm' into feat/finetune_sbert_veco

* model test for training

* add token-classification metric add formal ut

* fix running bug

* finetune and pipeline are working with backbone-head

* add nli

* add missing code

* finetune and pipeline are working with backbone-head

* Merge branch 'feat/backbone_head' of http://gitlab.alibaba-inc.com/Ali-MaaS/MaaS-lib into feat/backbone_head

* add a test repo for pr

* remove merge conflicted file

* remove merge conflicted file 1

* lint check

* import error

* none type bug fix

* forward input unpacking or dict bug

* move head into models, add build_backbone with registry, no base method

* merge master

* feat: 1. add interleave dataset method 2. support multiple dataset in trainer.build_dataset 3. support 3 sub tasks in sequence_classification task

* unfinished

* update the task model structure in NLP field

* merge master

* update by comments

* keep the default model id as current on production

* unfinished

* unfinished

* veco can run

* Merge remote-tracking branch 'origin/master' into feat/backbone_head

* add taskmodel for module management

* remove forward_input_is_dict

* unfinished

* token classification started

* update base model structure

* move space to backbone

* remove 'type' in build_from_cfg method

* test update

* bug fix

* on tesing, mess code

* Merge branch 'feat/backbone_head' into feat/refactor_nlp_730

# Conflicts:
#	modelscope/metrics/builder.py
#	modelscope/models/__init__.py
#	modelscope/models/nlp/__init__.py
#	modelscope/preprocessors/nlp.py
#	modelscope/trainers/trainer.py
#	requirements/multi-modal.txt

* add missing merge

* add sofa source code

* refactor

* add veco task dataset

* add veco task dataset

* pre-commit passed

* fix bug of log

* add some features

* merge master

* bug fix

* refine nlp models

* fix the training error

* unfinished

* refactor pipeline

* Merge branch 'feat/backbone_head' into feat/refactor_nlp_730

# Conflicts:
#	modelscope/metrics/builder.py
#	modelscope/models/nlp/__init__.py
#	modelscope/models/nlp/backbones/structbert/modeling_sbert.py
#	modelscope/models/nlp/palm_v2/palm_for_text_generation.py
#	modelscope/preprocessors/base.py
#	modelscope/preprocessors/nlp.py
#	modelscope/trainers/trainer.py

* Merge commit 'ab04ceafc5453ce7daa9aa09e37a55f703072a10' into feat/refactor_nlp_730

# Conflicts:
#	modelscope/metainfo.py
#	modelscope/metrics/builder.py
#	modelscope/models/__init__.py
#	modelscope/models/base/base_torch_model.py
#	modelscope/models/nlp/__init__.py
#	modelscope/models/nlp/backbones/space/model/intent_unified_transformer.py
#	modelscope/models/nlp/backbones/space/model/model_base.py
#	modelscope/models/nlp/palm_v2/palm_for_text_generation.py
#	modelscope/models/nlp/sbert_for_sequence_classification.py
#	modelscope/models/nlp/sequence_classification.py
#	modelscope/models/nlp/space/__init__.py
#	modelscope/models/nlp/space_for_dialog_intent_prediction.py
#	modelscope/models/nlp/space_for_dialog_modeling.py
#	modelscope/models/nlp/space_for_dialog_state_tracking.py
#	modelscope/models/nlp/task_model.py
#	modelscope/pipelines/nlp/sentiment_classification_pipeline.py
#	modelscope/preprocessors/base.py
#	modelscope/preprocessors/nlp.py
#	modelscope/trainers/trainer.py

* revert changes

* unify sentnece classification postprocess

* revert some changes, move some model files

* pipeline first case run through

* ws pipeline passed

* Merge branch 'feat/refactor_nlp_730' into feat/finetune_sbert_veco

* finetune

* revert code

* revert some code

* ws finetune started, only the accuracy is weird

* Merge branch 'feat/veco_taskdataset' into feat/finetune_sbert_veco

# Conflicts:
#	modelscope/task_datasets/veco_dataset.py
#	tests/taskdataset/test_veco_dataset.py

* veco+nli finetune started

* Merge branch 'master' into feat/finetune_sbert_veco

# Conflicts:
#	modelscope/models/nlp/sbert_for_sequence_classification.py
#	modelscope/models/nlp/sbert_for_token_classification.py
#	modelscope/models/nlp/sbert_for_zero_shot_classification.py
#	modelscope/models/nlp/space/space_for_dialog_intent_prediction.py
#	modelscope/models/nlp/space/space_for_dialog_modeling.py
#	modelscope/trainers/trainer.py

* add trainer for nlp

* trainer: dataset params passed into preprocessor

* test passed by nlptrainer

* fix some bugs

* fix some bugs

* add backbone/head subclass

* fix regression bugs

* fix bug in token-cls finetune

* support cfg modification

* fix bug

* fix bug

* update requirements

* add some comments and fix some t

* add some comments and revert a argument

* split to two test files

* revert code

* fixbug in precessor

(cherry picked from commit 7a648d096e)

* fix ut bug

* support sbert models

* unfinished

* Merge branch 'feat/finetune_sbert_veco' into sly_tmp_veco_finetune

# Conflicts:
#	tests/trainers/test_finetune_sequence_classification.py

* fixbug in veco

* fix bug

* fixbug

* correct running params

* remove useless files

* add palm finetuning with cnn_dailymail dataset

* copy space model from sofa

* Merge branch 'feat/finetune_sbert_veco' of gitlab.alibaba-inc.com:Ali-MaaS/MaaS-lib into feat/finetune_sbert_veco

* Merge branch 'master' into feat/finetune_sbert_veco

# Conflicts:
#	modelscope/metrics/__init__.py
#	modelscope/models/__init__.py
#	modelscope/models/nlp/__init__.py
#	modelscope/models/nlp/backbones/__init__.py
#	modelscope/models/nlp/backbones/structbert/modeling_sbert.py
#	modelscope/models/nlp/heads/__init__.py
#	modelscope/models/nlp/masked_language.py
#	modelscope/models/nlp/palm_v2/palm_for_text_generation.py
#	modelscope/models/nlp/sbert_for_nli.py
#	modelscope/models/nlp/sbert_for_sentence_similarity.py
#	modelscope/models/nlp/sbert_for_sentiment_classification.py
#	modelscope/models/nlp/sbert_for_sequence_classification.py
#	modelscope/models/nlp/sbert_for_token_classification.py
#	modelscope/models/nlp/sbert_for_zero_shot_classification.py
#	modelscope/models/nlp/sequence_classification.py
#	modelscope/models/nlp/space/space_for_dialog_intent_prediction.py
#	modelscope/models/nlp/space/space_for_dialog_modeling.py
#	modelscope/models/nlp/space/space_for_dialog_state_tracking.py
#	modelscope/models/nlp/structbert/adv_utils.py
#	modelscope/models/nlp/structbert/configuration_sbert.py
#	modelscope/models/nlp/task_models/task_model.py
#	modelscope/pipelines/__init__.py
#	modelscope/pipelines/nlp/__init__.py
#	modelscope/pipelines/nlp/fill_mask_pipeline.py
#	modelscope/pipelines/nlp/named_entity_recognition_pipeline.py
#	modelscope/pipelines/nlp/nli_pipeline.py
#	modelscope/pipelines/nlp/sentence_similarity_pipeline.py
#	modelscope/pipelines/nlp/sentiment_classification_pipeline.py
#	modelscope/pipelines/nlp/text_generation_pipeline.py
#	modelscope/pipelines/nlp/word_segmentation_pipeline.py
#	modelscope/pipelines/nlp/zero_shot_classification_pipeline.py
#	modelscope/preprocessors/nlp.py
#	modelscope/task_datasets/__init__.py
#	modelscope/trainers/trainer.py
#	modelscope/trainers/utils/inference.py
#	modelscope/utils/file_utils.py
#	requirements/nlp.txt
#	tests/pipelines/test_nli.py
#	tests/pipelines/test_sentence_similarity.py
#	tests/pipelines/test_sentiment_classification.py

* fix imports

* mark backbone in their own modeling

* pre-commit check passed

* pre-commit passed, remove roberta model

* fix a bug in ast import

* skip all finetune uts

* fix bugs

* pre-commit passed

* bug fixed

* bug fixed

* bug fixed

* bug fixed

* fix ut bug

* fix bug

* fix ut bug

* fix bug

* fix bug

* fixbugs

* fixbug

* revert veco

* revert veco because of core dump

* fix palm bug

* revert veco

* revert mistaken code

* add a test print

* pre-commit check

* test exception

* add test code

* for test

* fix bug and test

* remove test code

* remove useless file

* 1. fix some bugs 2. add backbone ut

* Merge branch 'master' into feat/finetune_refactor_730

# Conflicts:
#	modelscope/metainfo.py
#	modelscope/metrics/sequence_classification_metric.py
#	modelscope/models/nlp/__init__.py
#	modelscope/models/nlp/task_models/task_model.py
#	modelscope/preprocessors/__init__.py
#	modelscope/preprocessors/nlp.py
#	modelscope/trainers/trainer.py
#	modelscope/trainers/utils/inference.py
#	modelscope/utils/file_utils.py
#	tests/trainers/test_trainer_with_nlp.py

* pre-commit passed

* revert files

* increase test level

* unregister models

* fix bugs

* fix cr comments

* fix bug in backbone-head

* add sbert backbone

* fix bug

* add test for token-cls-metric

* pre-commit passed

* fix ut comments

* revert normal tokenizer to fast tokenizer

* Merge branch 'master' into feat/finetune_refactor_730

# Conflicts:
#	modelscope/models/nlp/__init__.py
#	modelscope/models/nlp/backbones/__init__.py
#	modelscope/models/nlp/backbones/structbert/__init__.py
#	modelscope/models/nlp/masked_language.py
#	modelscope/models/nlp/palm_v2/palm_for_text_generation.py
#	modelscope/models/nlp/sbert_for_sequence_classification.py
#	modelscope/models/nlp/sbert_for_token_classification.py
#	modelscope/models/nlp/sbert_for_zero_shot_classification.py
#	modelscope/pipelines/nlp/text_generation_pipeline.py
#	modelscope/preprocessors/nlp.py
#	modelscope/trainers/trainer.py
#	modelscope/trainers/utils/inference.py

* fix merge bugs

* pre commit passed

* fix bug

* fix bug

* fix bug

* fix bug from master

* add print

* fix ut bug

* fix bug

* Merge branch 'master' into feat/finetune_refactor_730

* skip task model test

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9442509

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9597706

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9615938

    * add init and make demo compatible

* make demo compatible

* fix comments

* add distilled ut

* Merge remote-tracking branch 'origin/master' into ofa/bug_fix

* fix sample collate bug

* Merge remote-tracking branch 'origin/master' into ofa/bug_fix

# Conflicts:
#	tests/pipelines/test_ofa_tasks.py

* Merge remote-tracking branch 'origin/master' into ofa/bug_fix

* fix sample collate bug

出于可能法务风险，将复现的Google 「Imagen」算法重命名为「diffusion」。
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9608897

asr推理增加对其他外文的支持，包括计算wer。
增加对音频重采样，根据传入音频的采样率和当前模型支持的采样率，在easyasr内部完成重采样。注意，输入数据为pcm时，需要同时传入pcm的sample rate，否则当成16K。
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9580609

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9590794

1. change dummy dataset to msdataset
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9586561

    * change dummpy dataset to msdataset

* add pre-commit ignore

* Merge commit 'e93339ea877b93fa0c1b9ebfeee8877f78facb0e' into feat/ms_dataset_case

* Merge commit '34840fc5d8a8ee8cd1278efea913d42db522f9c8' into feat/ms_dataset_case

* remove useless ip hosts.

* Merge commit '47dda0a5f9b4b4466177d9acae097a53f8bea8f7' into feat/ms_dataset_case

* Merge commit '21de1e7db035843c6c2caccf382a6e4f7071f96b' into feat/ms_dataset_case

add init and make demo compatible
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9606656

    * add init and make demo compatible

* make demo compatible

* fix comments

* add distilled ut

* Merge remote-tracking branch 'origin/master' into ofa/bug_fix

1. task name and output definition: [link](https://alidocs.dingtalk.com/i/nodes/KOEmgBoGwD78vd2bAry3VndLerP9b30a?nav=spaces&navQuery=spaceId%3Dnb9XJNlZxbgrOXyA&iframeQuery=utm_source%3Dportal%26utm_medium%3Dportal_space_file_tree)

2. rearrange task definition and add more outputs definition for tasks

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9585469

1. Support `ReduceLROnPlateau` lr scheduler, and add  `PlateauLrSchedulerHook` for it
2. Support custom `optimizer_hook` and `lr_scheduler_hook`
3. Remove function of save best ckpt from `EvaluationHook`, replace with `BestCkptSaverHook`
4. `evaluation_loop` return metric values directly，move metric computation to `single_gpu_test` and `multi_gpu_test`
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9584322

    * [to #43627720] support ReduceLROnPlateau and fix lr scheduler

replace virtual-tryon with virtual-try-on

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9600141

- 应工程同学要求，修改原使用的一级task（image-generation）至新二级task（image-cartoon）

- 修复无人脸时无图像结果返回，更新为 返回背景卡通化后的图像（无人脸卡通化处理）
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9594912

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9597835

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9588372

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9564875

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9515599

添加 GPT3 base 模型，复用 text generation pipeline

虚拟试衣修改输入为tuple格式
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9561416

    * change input to tuple

* support dict or tuple input

* Merge branch 'master' into cv/virtual_tryon

* Merge remote-tracking branch 'origin/master' into cv/virtual_tryon

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9552632

* load csv dataset from modelscoop

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9490080

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9567392

1. add trainer doc
2. support local configuration file for trainer
3. update nlp trainer test

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9541239

NLP新增文本纠错任务
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9540716

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9563105

    * use MinDAEC instead of cdll

* feat: ANS pipeline can accept bytes as input and adjust processing order to reduce the amount of computation

1. support FaceDetectionPipeline inference
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9470723

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9526987

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9551089

    * support distributed training

添加直播类目模型
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9476982

新增视频内容分类模型
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9479334

*Add image-classification-imagenet and image-classification-dailylife pipelines
*Add models.cv.mmcls_model.ClassificaitonModel as a wrapper class for mmcls

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9410174

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9491966

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9458640

enable image segmentation test
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9522337

Migrate MPLUG model code from sofa to maas.
No need to download checkpoint from huggingface anymore.
Added OutputKeys definition for vqa.

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9491487

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9497065

限制protobuf版本，修复单元测试有error返回值为0问题
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9510263

    * fix test error is not detected in gate test, protobuf version to (3, 3.21.0)

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9491681