+1 for this great proposal. MXNet will be more flexible and portable with this new feature :)
Thanks, --Patric > -----Original Message----- > From: sandeep krishnamurthy [mailto:sandeep.krishn...@gmail.com] > Sent: Thursday, January 17, 2019 8:47 AM > To: dev@mxnet.incubator.apache.org > Subject: Design proposal - MXNet end to end models - Models with data > transformations > > Hello Community, > > Me along with fellow MXNet contributors (Jake > <https://github.com/stu1130>, Karan <https://github.com/karan6181>) are > working on the following problem: > 1. Some of the data transformations used in training is applicable during > inference. Most commonly transformations on validation data is same as > transformations required during inference. > 2. MXNet models do not contain data transformations as part of the graph. > Making it harder, time consuming and duplicated effort to re create data > transformation during inference. This problem is more evident in cross > language use cases. Training in Gluon (Python) and inference in Java/C++. > > After few initial discussions with some of MXNet contributors (Zhi > <https://github.com/zhreshold>, Naveen <https://github.com/nswamy>, > Sina <https://github.com/safrooze>), design proposal, development plan, > tasks, milestones and more details are captured in this document. > https://cwiki.apache.org/confluence/display/MXNET/MXNet+end+to+end+ > models > > Please do provide your feedback via comments in the document or on this e- > mail. All contributions are welcome. I will be creating JIRA stories and > issues > for initial tasks identified. > > -- > Sandeep Krishnamurthy
