Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9938140

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9872869

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9942858

    * [Add] add document-segmentation

Maas新增FAQ问答模型
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9797053

添加 MPLUG 模型 image-captioning 任务
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9745826

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

    * fix ditributed training and eval

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

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

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

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

添加image-color-enhance, pipeline and trainer
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9483118

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

* 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

添加 MPLUG 模型的 visual question answering 任务 pipeline

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

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9122842

    * [Add] add KWS code

* [Update] check code linters and formatter

* [Update] update kws code

* Merge branch 'master' into dev/kws

* [Fix] fix kws warning

* [Add] add ROC for KWS

* [Update] add some code check

* feat: Fix confilct, auto commit by WebIDE

* feat: Fix confilct, auto commit by WebIDE

* Merge branch 'master' into dev/kws

* [Update] refactor kws code

* [Update] refactor kws code

* [Update] refactor kws code, bug fix

* [Update] refactor kws code, bug fix

* commit 'ace8af92465f7d772f035aebe98967726655f12c':
  [to #42322933] Add cv-action-recongnition-pipeline to maas lib
  [to #42463204]  support Pil.Image for image_captioning_pipeline
  [to #42670107] restore pydataset test
  [to #42322933] add create if not exist and add(back) create model example         Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9130661
  [to #41474818]fix: fix errors in task name definition

# Conflicts:
#	modelscope/pipelines/builder.py
#	modelscope/utils/constant.py

将caption pipeline的实现从pipeline下沉到model，并拆解preprocessor
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9081211

    * [to #41669377] docs and tools refinement and release 

1. add build_doc linter script
2. add sphinx-docs support
3. add development doc and api doc
4. change version to 0.1.0 for the first internal release version

Link: https://code.aone.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/8775307

* [to #41669377] add pipeline tutorial and fix bugs 

1. add pipleine tutorial
2. fix bugs when using pipeline with certain model and preprocessor

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/8814301

* refine doc

* refine doc

* upload ofa for caption(with source code but not whl)

* remove data in gitignore

* append uncommitted data dir in ofa

* remove ofa_dir , use ofa.whl instead.

* update BPE

* rollback changes used in debugging.

* Merge branch 'master' into ofa/image_caption

# Conflicts:
#	docs/README.md
#	docs/source/conf.py
#	docs/source/index.rst
#	docs/source/tutorials/pipeline.md
#	maas_lib/models/nlp/sequence_classification_model.py
#	maas_lib/pipelines/builder.py
#	maas_lib/version.py
#	setup.py
#	tests/pipelines/test_text_classification.py

* 1. fix a bug in pipelines/builder.py.
2. modify model_path to model in image_captioning.py.

* 1. rename test_image_captioning.py.

* format all files using pre-commit.

* add fairseq in requirements.txt

* add fairseq in requirements.txt

* change fairseq path to git repo to a whl on oss in ofa.txt.

* change module_name to 'ofa'

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

# Conflicts:
#	maas_lib/pipelines/builder.py

* optim requirements for ofa / refine image_captioning.py

* uncommited change.

* feat: Fix confilct, auto commit by WebIDE

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

# Conflicts:
#	maas_lib/pipelines/multi_modal/__init__.py
#	modelscope/pipelines/multi_modal/image_captioning.py
#	tests/pipelines/test_image_captioning.py

* merge master

* merge master

* merge master

* rename

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

* add caption model

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

* update ofa caption model

* fix some typo, update unittest

* use local test image

* use local test image

* refactor, ofa -> multi_model

* merge master

* 删除 image_caption_pipeline.py

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9061073
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9061073

    * [to #41669377] docs and tools refinement and release 

1. add build_doc linter script
2. add sphinx-docs support
3. add development doc and api doc
4. change version to 0.1.0 for the first internal release version

Link: https://code.aone.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/8775307

* [to #41669377] add pipeline tutorial and fix bugs 

1. add pipleine tutorial
2. fix bugs when using pipeline with certain model and preprocessor

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/8814301

* refine doc

* refine doc

* merge remote release/0.1 and fix conflict

* Merge branch 'release/0.1' into 'nls/tts'

Release/0.1



See merge request !1700968

* [Add] add tts preprocessor without requirements. finish requirements build later

* [Add] add requirements and frd submodule

* [Fix] remove models submodule

* [Add] add am module

* [Update] update am and vocoder

* [Update] remove submodule

* [Update] add models

* [Fix] fix init error

* [Fix] fix bugs with tts pipeline

* merge master

* [Update] merge from master

* remove frd subdmoule and using wheel from oss

* change scripts

* [Fix] fix bugs in am and vocoder

* [Merge] merge from master

* Merge branch 'master' into nls/tts

* [Fix] fix bugs

* [Fix] fix pep8

* Merge branch 'master' into nls/tts

* [Update] remove hparams and import configuration from kwargs

* Merge branch 'master' into nls/tts

* upgrade tf113 to tf115

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

* add multiple versions of ttsfrd

* merge master

* [Fix] fix cr comments

* Merge branch 'master' into nls/tts

* [Fix] fix cr comments 0617

* Merge branch 'master' into nls/tts

* [Fix] remove comment out codes

* [Merge] merge from master

* [Fix] fix crash for incompatible tf and pytorch version, and frd using zip file resource

* Merge branch 'master' into nls/tts

* [Add] add cuda support

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/8973072

    * [to #41669377] docs and tools refinement and release 

1. add build_doc linter script
2. add sphinx-docs support
3. add development doc and api doc
4. change version to 0.1.0 for the first internal release version

Link: https://code.aone.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/8775307

* [to #41669377] add pipeline tutorial and fix bugs 

1. add pipleine tutorial
2. fix bugs when using pipeline with certain model and preprocessor

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/8814301

* refine doc

* feat: add audio aec pipeline and preprocessor

* feat: add audio aec model classes

* feat: add audio aec loss functions

* refactor:delete no longer used loss function

* [to #42281043] support kwargs in pipeline 
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/8949062
* support kwargs in pipeline

* update develop doc with CR instruction

* Merge branch 'release/0.1' into dev/aec

* style: reformat code by pre-commit tools

* feat:support maas_lib pipeline auto downloading model

* test:add aec test case as sample code

* feat:aec pipeline use config from maashub

* feat:aec pipeline use feature parameters from maashub

* update setup.cfg to disable PEP8 rule W503 in flake8 and yapf

* format:fix double quoted strings, indent issues and optimize import

* refactor:extract some constant in aec pipeline

* refactor: delete no longer used  __main__ statement

* chore:change all Chinese comments to English

* fix: change file name style to lower case

* refactor: rename model name

* feat:load C++ .so from LD_LIBRARY_PATH

* feat:register PROPROCESSOR for LinearAECAndFbank

* refactory:move aec process from postprocess() to forward() and update comments

* refactory:add more readable error message when audio sample rate is not 16000

* fix: package maas_lib renamed to modelscope in import statement

* feat: optimize the error message of audio layer classes

* format: delete empty lines

* refactor: rename audio preprocessor and optimize error message

* refactor: change aec model id to damo/speech_dfsmn_aec_psm_16k

* refactor: change sample audio file url to public oss

* Merge branch 'master' into dev/aec

* feat: add output info for aec pipeline

* fix: normalize output audio data to [-1.0, 1.0]

* refactor:use constant from ModelFile

* feat: AEC pipeline can use c++ lib in current working directory and the test will download it

* fix: c++ downloading should work wherever test is triggerd

Adding the new task of sentence_similarity, in which the model is the sofa version of structbert
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9016402

    * sbert-sentence-similarity

* [to #42322933] pip8

* merge with master for file dirs  update

* add test cases

* pre-commit lint check

* remove useless file

* download models again~

* skip time consuming test case

* update for pr reviews

* merge with master

* add test level

* reset test level to env level

* [to #42322933] init

* [to #42322933] init

* adding purge logic in test

* merge with head

* change test level

* using sequence classification processor for similarity

1.  refactor maaslib to modelscope
2.  fix UT error
3.  support pipeline which does not register default model

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/8988388