community/sigs

• SIGs - Special Interest Groups
• • Joining a SIG
  • Current SIGs

SIGs - Special Interest Groups

As described in the MindSpore governance, Special
Interest Groups (SIGs) are persistent groups responsible for specific parts of
the project. SIGs have open and transparent proceedings to develop goals and
implement code contributions. SIGs are also responsible for ongoing maintenance
of the code in their areas.

Joining a SIG

If you are interested in participating, please join the discussion
in the respective list. Details about any upcoming meetings will also be shared
in the mailing list. SIG artifacts can be found in the current repository.

Current SIGs

SIG name	Responsibilities	SIG Leads
FrontEnd	This SIG is responsible for the development of MindSpore front-end expression.	@kingxian(jianxiaoxian@huawei.com)
Compiler	This SIG is responsible for the development of MindSpore high level graph compilation.	@zh_qh(zhangqinghua3@huawei.com)
Executor	This SIG is responsible for the development of MindSpore back-end support for pipeline.	@kisnwang(wangkaisheng2@huawei.com)
ModelZoo	This SIG is responsible for the development of MindSpore modelzoo and additional ops.	@yingjy(yingjiangyong@huawei.com)
Data	This SIG is responsible for the development of MindSpore data processing and data format transformation.	@liucunwei(liucunwei@huawei.com)
GraphEngine	This SIG is responsible for the development of MindSpore graph engine for Ascend AI processor.	@youui(yangwei79@huawei.com)
Visualization	This SIG is responsible for the development of MindSpore visualization tools.	@gaocongli_hw(gaocongli@huawei.com)
Security	This SIG is responsible for the development of MindSpore security related tools.	@randywangze(wangze14@huawei.com)
AKG	This SIG is responsible for the development of MindSpore auto kernel generator.	@anyrenwei(zhangrenwei1@huawei.com)
MSLITE	This SIG is responsible for the development of MindSpore lite.	@zhaizhiqiang(zhaizhiqiang@huawei.com)
MDP	This SIG is responsible for the development of MindSpore programming library for Bayesian deep learning.	@jianfeichen(chrisjianfeichen@gmail.com)
Parallel	This SIG is responsible for the development of MindSpore's functionality of automatically finding the efficient parallel strategy for DNN training and inference.	@stsuteng(suteng@huawei.com)