Hi Tao, Thanks for your suggestions.
I have read the proposal "Bring your own Accelerator". The feature it proposed is excellent. After reading the proposal, I have two questions: 1. If our current design shown in the proposal "Design of CNML/CNRT Integration" is feasible ? 2. If the way proposed in "Bring your own Accelerator" is preferred, we will refactor our design toward that way. In this case, I want to know if the feature in "Bring your own Accelerator" is approved and in the plan ? > -----原始邮件----- > 发件人: "Lv, Tao A" <[email protected]> > 发送时间: 2019-06-28 17:46:22 (星期五) > 收件人: "[email protected]" <[email protected]>, > "[email protected]" <[email protected]> > 抄送: "[email protected]" <[email protected]> > 主题: RE: Proposal - Design of CNML/CNRT Integration > > Hi Yan Zhe, > > Thanks for the nice proposal. In case you didn't know, there is a meta > proposal for bringing new accelerator to MXNet: > https://cwiki.apache.org/confluence/display/MXNET/Bring+your+own+Accelerator > > Before reading in details, I'm curious to know whether you have any > performance data for the proposal and what's the validation plan for a new > hardware backend? > > Thanks, > -tao > > > -----Original Message----- > From: 严哲 [mailto:[email protected]] > Sent: Friday, June 28, 2019 4:42 PM > To: [email protected] > Subject: Proposal - Design of CNML/CNRT Integration > > Hello Community, > > > > I am from Cambricon which is a company developing machine learning processors. > > > Now I have written a proposal that introduces the design of integrating > CNML(Cambricon Neuware Machine Learning Library) / CNRT(Cambricon Neuware > Runtime Library) into MXNet. After integrating with CNML/CNRT, developers can > work with MXNet on Cambricon machine learning processors. > > > I am looking forward to your precious suggestions, especially the > suggestions considering recent updates about MXNet version 1.5.0. Any > feedback and help will be greatly appreciated. > > > Design proposal: > https://cwiki.apache.org/confluence/pages/viewpage.action?pageId=120722127 > > > Thanks & BestRegards, > > YanZhe ------------------------------ Thanks & Best Regards, Yan Zhe
