1. Change structbert dev revision to master revision
2. Fix bug:  Sample code failed because the updating of model configuration
3. Fix bug: Continue training regression failed
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10519992

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10506320

添加 bloom 模型
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10509187

Features:
1. Refactor the directory structure of nlp models. All model files are placed into either the model folder or the task_model folder
2. Refactor all the comments to google style
3. Add detail comments to important tasks and nlp models, to list the description of the model, and its preprocessor&trainer
4. Model Exporting now supports a direct all to TorchModelExporter(no need to derive from it)
5. Refactor model save_pretrained method to support direct running(independent from trainer)
6. Remove the judgement of Model in the pipeline base class, to support outer register models running in our pipelines
7. Nlp trainer now has a NLPTrainingArguments class , user can pass arguments into the dataclass, and use it as a normal cfg_modify_fn, to simplify the operation of modify cfg.
8. Merge the BACKBONES and the MODELS, so user can get a backbone with the Model.from_pretrained call
9. Model.from_pretrained now support a task argument, so user can use a backbone and load it with a specific task class.
10. Support Preprocessor.from_pretrained method
11. Add standard return classes to important nlp tasks, so some of the pipelines and the models are independent now, the return values of the models will always be tensors, and the pipelines will take care of the conversion to numpy and the following stuffs.
12. Split the file of the nlp preprocessors, to make the dir structure more clear.

Bugs Fixing:
1. Fix a bug that lr_scheduler can be called earlier than the optimizer's step
2. Fix a bug that the direct call of Pipelines (not from pipeline(xxx)) throws error
3. Fix a bug that the trainer will not call the correct TaskDataset class
4. Fix a bug that the internal loading of dataset will throws error in the trainer class
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10490585

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10506601

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10509580

1. 修复multi thread引起的问题
2. 增加multi thread的unittest
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10502008

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10507910

    * [to #42322933] remove revision usage for face detection

增加对text-ranking任务中文模型的单元测试，以方便得到官方模型打标。
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10492754

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10507748

    * remove clip ut dev revision

demo service 对接，修改输入接口为可调用的方式
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10502169

1. 合并star和star3框架
2. 修改star和star3的model type
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10492793

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10491994

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10491891

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10492024

1. 增加传入table_id
2. 将result和table的结构统一
3. 默认开启is_use_sqlite
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10492027

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10491024

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10491951

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10490937

新增ofa关于日常场景文字识别的任务，主要包括：
1、新增pipeline及task名称定义；
2、新增pipeline、task、model及prepreocess核心类方法的代码逻辑；
3、其它同步修正的小细节逻辑；
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10471089

为以下三个模型补充 ut
damo/nlp_palm2.0_text-generation_chinese-large
damo/nlp_palm2.0_text-generation_commodity_chinese-base
damo/nlp_palm2.0_text-generation_weather_chinese-base
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10435599

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10467797

    * add uttest for en2fr and fr2en tasks

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10465241

接入damyolo系列检测模型
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10377688

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10400324

添加基于 Megatron-v3 的 GPT3 tensor 并行的推理代码
复用 DistributedPipeline 与 megatron-util
适用模型：1.3B/2.7B/13B 参数的 GPT-3 预训练生成模型
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10416721

新增video-object-detection 算法
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10247489

1. 添加 gpt_neo 模型，因 checkpoint 归属于 Langboat 还未上传到模型库，已线下完成测试
2. 添加 text-generation task models 与 head，后续会将 gpt3，palm 等已上线文本生成模型统一为 backbone + head 结构的 task models
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10404249

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10423383

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10412829

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10421413

    * fix outputs

默认输出为array的，通道格式统一为BGR格式，本次修改是为了与这个格式一致
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10422508

* image_captioninig support single image and dict input
* image_style_transfer use dict input

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10417330

修改output的结构，直接返回可转化成json format的结构
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10415403

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10383770

    * T5 support translate

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10371244
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10371244

1. 调整face_detection的文件层级(scrfd与其余新增face_detection方法平级);
2. 增加极大脸/旋转脸的检测方法，更新了新模型；
3. 支持读入数据集并finetune和eval；
4. 新增card_detection模型，支持读入datasethub数据集并finetune
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10244540

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10319306

相比于master上的tableqa，做出了如下修复：
1. 修复了schema linking中的问题。
2. 同时设置了有history sql和没有history sql的两种输入
3. 增加了sqlite执行逻辑，可以返回sql执行结果
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10365114

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10338265

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10362437

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10111615

video summarization:
1. 添加 license & header; 
2. 修改 output for demo service
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10260946

Link https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10360754#tab=detail
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10360754

统一关键点检测输出key的名字
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10359335

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10217723

    * add image_body_reshaping code

Add pipelines for the following new models:
- [Multilingual Quality Estimation](https://modelscope.cn/models/damo/nlp_translation_quality_estimation_multilingual/summary)
- [Automatic Post-Editing (En-De)](https://modelscope.cn/models/damo/nlp_automatic_post_editing_for_translation_en2de/summary)
- [Domain classification (Zh)](https://modelscope.cn/models/damo/nlp_domain_classification_chinese/summary)
- [Style classification (Zh)](https://modelscope.cn/models/damo/nlp_style_classification_chinese/summary)
- [Style classification (En)](https://modelscope.cn/models/damo/nlp_style_classification_english/summary)
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10315370

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10233235

* add input definition for pipeline


* support multiple input format for single pipeline


*  change param for body_3d_keypoints

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10252583