Commit Graph

12 Commits

Author SHA1 Message Date
zhangzhicheng.zzc
d721fabb34 [to #42322933]bert with sequence classification / token classification/ fill mask refactor
1.新增支持原始bert模型(非easynlp的 backbone prefix版本)
2.支持bert的在sequence classification/fill mask /token classification上的backbone head形式
3.统一了sequence classification几个任务的pipeline到一个类
4.fill mask 支持backbone head形式
5.token classification的几个子任务(ner,word seg, part of speech)的preprocessor 统一到了一起TokenClassificationPreprocessor
6. sequence classification的几个子任务(single classification, pair classification)的preprocessor 统一到了一起SequenceClassificationPreprocessor
7. 改动register中 cls的group_key 赋值位置,之前的group_key在多个decorators的情况下,会被覆盖,obj_cls的group_key信息不正确
8. 基于backbone head形式将 原本group_key和 module同名的情况尝试做调整,如下在modelscope/pipelines/nlp/sequence_classification_pipeline.py 中 
原本
 @PIPELINES.register_module(
    Tasks.sentiment_classification, module_name=Pipelines.sentiment_classification)
改成
@PIPELINES.register_module(
    Tasks.text_classification, module_name=Pipelines.sentiment_classification)
相应的configuration.json也有改动,这样的改动更符合任务和pipline(子任务)的关系。
8. 其他相应改动为支持上述功能
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10041463
2022-09-27 23:08:33 +08:00
wenmeng.zwm
e85b27107e [to #44236829] import nlp preprocessor to make UT run successfully while igoring ast scanning error 2022-08-19 10:24:21 +08:00
jiangnana.jnn
76482cc3ea [to #43850241] fix processor and collate_fn
Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9644184

    * fix ditributed training and eval
2022-08-16 12:04:07 +08:00
wenmeng.zwm
d55525bfb6 [to #43112771] requirements check and lazy import support 2022-07-27 17:29:16 +08:00
jiaqi.sjq
d313c440c4 [to #9303837] Merge frontend am and vocoder into one model card
Merge frontend, am and vocoder model card into one model card.
Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9303837
2022-07-08 14:26:18 +08:00
yingda.chen
1a0d4af55a [to #42322933] test level check
Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9143809
2022-06-23 16:55:48 +08:00
wenmeng.zwm
e288cf076e [to #42362853] refactor pipeline and standardize module_name
* using get_model to validate hub path 
* support reading pipeline info from configuration file
* add metainfo const
* update model type and pipeline type and fix UT
* relax requimrent for protobuf
* skip two dataset tests due to temporal failure
 
Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9118154
2022-06-22 14:15:32 +08:00
jiaqi.sjq
b1490bfd7f [to #9061073] feat: merge tts to master
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
2022-06-20 17:23:11 +08:00
wenmeng.zwm
201922d33d [to #42461396] add git-lfs support and mv test data to git-lfs 2022-06-17 19:33:15 +08:00
wenmeng.zwm
b4fc38e1b9 [to #42461396] add Pillow version constraint and update hub version
1.  use Pillow >= 6.2.0
2. change skip test msg for image caption
Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9041194
2022-06-15 11:43:52 +08:00
wenmeng.zwm
1f6b376599 [to #42373878] refactor maaslib to modelscope
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
2022-06-09 20:16:26 +08:00
wenmeng.zwm
5e469008fd [to #41401401] add preprocessor, model and pipeline
* add preprocessor module
 * add model base and builder
 * update task constant
 * add load image preprocessor and its dependency
 * add pipeline interface and UT covered
 * support default pipeline for task
 * add image matting pipeline
 * refine nlp tokenize interface
 * add nlp pipeline 
 * fix UT failed
 * add test for Compose

Link: https://code.aone.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/8769235

* add preprocessor module

* add test for Compose

* fix citest error

* fix abs class error

* add model base and builder

* update task constant

* add load image preprocessor and its dependency

* add pipeline interface and UT covered

* support default pipeline for task

* refine models and pipeline interface

* add pipeline folder structure

* add image matting pipeline

* refine nlp tokenize interface

* add nlp pipeline 

1.add preprossor model pipeline for nlp text classification
2. add corresponding test

Link: https://code.aone.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/8757371

* new nlp pipeline

* format pre-commit code

* update easynlp pipeline

* update model_name for easynlp pipeline; add test for maas_lib/utils/typeassert.py

* update test_typeassert.py

* refactor code

1. rename typeassert to type_assert
2. use lazy import to make easynlp dependency optional
3. refine image matting UT

* fix linter test failed

* update requirements.txt

* fix UT failed

* fix citest script to update requirements
2022-05-19 22:18:35 +08:00