1. MsDataset支持upload数据文件(压缩包)
2. MsDataset支持clone和upload meta data
3. 使用MsDataset.load()下载数据集，支持web端显示数据集下载计数
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9831232

video_summarization 修改test中的结果可视化
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9902499

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9851374

panoptic segmentation 模型接入
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9758389

新增video summarization模型的inference和finetune
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9840532

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9855254

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9856286

This reverts commit 4cc0395ac5.

add image-reid-person
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9818427

1. add device util to verify, create and place device
2. pipeline and trainer support update
3.  fix pipeline which use tf models does not place model to the right device

usage

```python
pipe = pipeline('damo/xxx', device='cpu')
pipe = pipeline('damo/xxx', device='gpu')
pipe = pipeline('damo/xxx', device='gpu:0')
pipe = pipeline('damo/xxx', device='gpu:2')
pipe = pipeline('damo/xxx', device='cuda')
pipe = pipeline('damo/xxx', device='cuda:1')
```
 Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9800672

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9781254

    * support single object tracking

msdataset add coco dataset
unify taskdataset and ms dataset
fix hf datasets

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9644184

    * fix ditributed training and eval

根据反馈 将用到的util_func 放入modelscope/utils/cv 下
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9759481

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9728416

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9703595

    * fix json dump numpy

* Merge remote-tracking branch 'origin' into fix/josn_dump

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9580066

Refine some comments.
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9674650

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9686701

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9667657

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9477652

add human pose eastimation to maas-lib v3
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9491970

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9608407

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/9617409

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

由于全规需要，修改了透出标签，将后台类目映射为前台类目，并修改了代码，不再透出层级类目，只透出最终细分类目。
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9615279

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9615408

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

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

1. fix module path error,   if code path contains multiple `modelscope` str,  use the last one as the start position of  modelscope source direcotry
2. add numpy version constraint <=1.18
3. add __init__.py to models/cv/image_to_image_translation
4. split audio requirements from all

 Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9587929

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9578665

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