Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9781849

    * support EasyCV

auto build docker images
aone 任务： https://test.aone.alibaba-inc.com/jobs/1824567?buildId=143470479
修改任务分支
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9566518

    * [to #43653669]feat: auto build docker images

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

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9767151

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

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9665865

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9655518

* update quick_start doc and add pai-easynlp back

* update doc with sndfile

1. remove pai-easynlp temporarily due to its hard dependency on scipy==1.5.4
2. fix sentiment classification output
3. update quickstart and trainer doc

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9646399

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9590940

kws增加pcm bytes数据类型的支持
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9635439

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9632326

更新cv侧730版本的依赖，已将mmcv-full移除

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9563481

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/9597706

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

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9598631

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/9552632

* load csv dataset from modelscoop

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

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

*  remove tensorflow numpy from audio requirements
*  add audio requirements to all
* auto set model to eval model for pipeline
*  add audio requirement check hint for easyasr and kwsbp
*  fix docs build error

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9561021

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

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9528871

    * [to #43588165]fix: nlp case github connection broken

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

This reverts commit bab28ae3fa.

[依赖收集及列表](https://yuque.antfin.com/docs/share/59d1f42c-e061-4e73-903f-0af053a03627#XXbRB)
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9456258

2022/7/22 更新的 rouge_socre 0.0.7 版本存在 import 报错的问题，暂时将 rouge_score 库版本设置为 <= 0.0.4

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9458816

Palm 模型支持 finetuning

ci 测试迁移新的机器，并且在容器中运行，减小互相干扰的可能
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9427096

    * add docker ci script

将nlp.txt中的en_core_web_sm依赖删除，在代码中下载响应的依赖
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9432253

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9407594

Refactor tts task inputs
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9412937

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9273537

Merge frontend, am and vocoder model card into one model card.
Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9303837

* rename name of whl to modelscope
* auto install all requirements when running citest
* auto download dynamic lib for aec pipeline
* fix setup.py  audio extras not set
Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9297825

* make audio requirements optional
 * add changelog for version v0.2
 * add numpy constraint for compatibility with tensorflow1.15
 * update faq
 * fix nlp requiring tensorflow
 * add torchvision to multimodal dependency
 * bump version from 0.2.1 to 0.2.2
 * add warning msg when tensorflow is not installed
 
Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9268278

添加了，nli，sentiment_classification， dialog_intent, dialog_modeling几个pipeline。同时加入了nlp里面sequence classification一些简单的抽象。
去掉了zero_shot_classification
Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9159089

* add self-hosted repo:
* add extra requirements for different field and reduce necessary requirements
* update docker file with so required by audio
* add requirements checker which will be used later when implement lazy import
* remove repeated requirements and replace opencv-python-headless with opencv-python

example usage:
```shell
pip install model_scope[all] -f https://pai-vision-data-hz.oss-cn-zhangjiakou.aliyuncs.com/release/maas/repo.html
pip install model_scope[cv] -f https://pai-vision-data-hz.oss-cn-zhangjiakou.aliyuncs.com/release/maas/repo.html
pip install model_scope[nlp] -f https://pai-vision-data-hz.oss-cn-zhangjiakou.aliyuncs.com/release/maas/repo.html
pip install model_scope[audio] -f https://pai-vision-data-hz.oss-cn-zhangjiakou.aliyuncs.com/release/maas/repo.html
pip install model_scope[multi-modal] -f https://pai-vision-data-hz.oss-cn-zhangjiakou.aliyuncs.com/release/maas/repo.html

```
Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9211383

更新 sofa 到 1.0.4.2 版本，解决 palm 模型无法并行的 bug
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9217921

添加 MPLUG 模型的 visual question answering 任务 pipeline

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9182119