Dear tic member, Please see the report from SIG Frontend.

# MindSpore FrontEnd Special Interest Group (SIG)

This is the working repo for the FrontEnd Special Interest Group (SIG). This repo contains all the artifacts, materials, meeting notes and proposals regarding **basic elements** , **operators and layers**, **training interfaces**, **distributed training**, and any other frontend programs in MindSpore. Feedbacks and contributions are welcomed. 1. **Basic Elements**: Basic data structure definitions, including Parameter, Tensor, Cell and so on. 2. **Operators and Layers**: Provide operators and functions, neural network layers, loss functions and optimizers. 3. **Training Interfaces**: Interfaces for model training, evaluating and predicting, including high-level wrapped APIs, checkpoint related APIs, callbacks and so on. 4. **Distributed Training**: Interfaces for data parallel, model parallel or auto parallel. Common communication operators are also included.

# SIG Leads

* Deng Yiping (Huawei)

# Logistics

* SIG leads will drive the meeting. * Meeting annoucement will be posted on our gitee channel: https://gitee.com/mindspore/community/tree/master/sigs/frontend * Feedbacks and topic requests are welcomed by all.

# Discussion

* Slack channel: https://app.slack.com/client/TUKCY4QDR/C011B2DSC6B?cdn_fallback=2 * Documents and artifacts: https://gitee.com/mindspore/community/tree/master/sigs/frontend

# Meeting notes

# Current Progress

* Support for all python comparison operators. * Support for math operators **,//,%. Support for other python operators like and/or/not/is/is not/ in/ not in. * Support for the gradients of function with variable arguments. * Support for tensor indexing assignment for certain indexing type. * Support for dynamic learning rate.

Best regards,

Zhenglei Fang

2020-04-28