Proposed content:

Project	Lead Contributor	Project Docs	Link to design discussion on dev@	Notes
Horovod-MXNet Integration	Carl Yang, Lin Yuan, Darren Hu	Horovod-MXNet Integration	Discussion	Upgrade from experimental feature to GA?
Gluon Vision Model Zoo	zhasheng@apache.org


Fix Flaky Tests	zhasheng@apache.org	Github Flaky Tests	Discussion	Resolve remaining flaky tests?
MKL-DNN	Patric Zhao, Da Zheng	MKL-DNN integration design	Discussion

Already GA in 1.3?

Upgrade from experimental feature to GA
MKL-DNN based graph optimization and quantization by subgraph	Patric Zhao	MXNet Graph Optimization and Quantization based on subgraph and MKL-DNN	Discussion	experimental feature
Sparse Tensor support for Gluon	Haibin Lin	Gluon Sparse Support	Discussion	Upgrade from experimental feature to GA?
Proper support for Types	Sebastian (Wolfram) (sebastianbod@gmail.com) or taliesinb@gmail.com			Backend for general purpose numerical packages (support for multipe types, proper testing for all supported types). Derive test priorities from Mathematica internal suite or integrate Mathematica into CI? Feedback: Users are observing instability, incomplete behavior vs. quality delivered by numpy / Pytorch. Haibin: many tests are not well written, most test only cover fp32, don't have good guidelines for community, operator tutorial lacks guidance on test requirements, suggest to develop guidelines (results are deterministic, cover all supported types), need to set quality standards as community grows Sebastian: presentation how it is done in Mathematica based on experience and learnings

Sparse Tensor support for GluonHaibin LinGluon Sparse Support

DiscussionUpgrade from experimental feature to GA?

Android support

Anton

experimental

Experimental feature or can it be GA?

Topology-aware AllReduce

Carl Yang

Topology-aware AllReduce Proposal DiscussionUpgrade from experimental feature to GA?Control flow operators

Da Zheng,Optimize dynamic neural networks DiscussionThis is the first step towards optimizing dynamic neural networks by adding symbolic and imperative control flow operators (foreach, while_loop, maybe ifelse). foreach and while_loop have been merged. ifelse has been submitted for review, but is unlikely merged in this release.

TensorRT Runtime Integration

Marek Kolodziej,

Clement Fuji Tsang,

Kellen Sunderland

Runtime Integration with TensorRT

Discussion

Upgrade from experimental feature for GA?

Java API

Andrew Ayres , Qing Lan , Piyush Ghai , Naveen Swamy

MXNet Java Inference API

Discussion1

Discussion2