Re: What's everyone working on?

on a separate but equally exciting note, how about we start to talk about a 1.0 release in the future and what everyone would want that to look like? I'll start a separate thread. :) On Mon, Oct 2, 2017 at 9:07 PM, Dominic Divakaruni < dominic.divakar...@gmail.com> wrote: > Seb is talking about s

Re: What's everyone working on?

Seb is talking about support for Cuda 9 and cuDNN 7. Pull requests below. @ptrendx and Dick Carter are working through some performance issues but should be done in a week (hopefully). Jun, Bhavin, Tensor RT runtime is a different subject. Nvidia is helping build a converter for MXNet models. Not

Re: What's everyone working on?

Hi Seb: please use a different email thread for new topics of discussion. Hi Jun: I think Seb may be referring to Volta V100 support in MXNet and NOT P4/P40 inference accelerators. Corrections/clarifications welcome. Bhavin Thaker. On Mon, Oct 2, 2017 at 8:22 PM Jun Wu wrote: > Thanks for you

Re: What's everyone working on?

Thanks for your attention, Seb. We are inclined to be cautious on what can claim for this project. TensorRT has already supported converting TensorFlow and Caffe models to its compatible format for fast inference, but not MXNet. In this sense, it may not be fair to claim MXNet as the first one supp

Re: What's everyone working on?

+1 On Mon, Oct 2, 2017 at 8:04 PM Dominic Divakaruni < dominic.divakar...@gmail.com> wrote: > 👏 > > On Mon, Oct 2, 2017 at 8:02 PM Seb Kiureghian wrote: > > > It would be awesome if MXNet were the first DL framework to support > Nvidia > > Volta. What do you all think about cutting a v0.12 rele

Re: What's everyone working on?

👏 On Mon, Oct 2, 2017 at 8:02 PM Seb Kiureghian wrote: > It would be awesome if MXNet were the first DL framework to support Nvidia > Volta. What do you all think about cutting a v0.12 release once that > integration is ready? > > On Wed, Sep 27, 2017 at 10:38 PM, Jun Wu wrote: > > > I had been

Re: What's everyone working on?

It would be awesome if MXNet were the first DL framework to support Nvidia Volta. What do you all think about cutting a v0.12 release once that integration is ready? On Wed, Sep 27, 2017 at 10:38 PM, Jun Wu wrote: > I had been working on the sparse tensor project with Haibin. After it was > wrap

Re: What's everyone working on?

I had been working on the sparse tensor project with Haibin. After it was wrapped up for the first stage, I started my work on the quantization project (INT-8 inference). The benefits of using quantized models for inference include much higher inference throughput than FP32 model with acceptable ac

Re: What's everyone working on?

e: > > > > > > I am essentially doing the same thing as in xgboost-spark > > > > > > DF based ML integration, etc. > > > > > > Get Outlook for iOS<https://aka.ms/o0ukef> > > > ____________ > > > From: Naveen S

Re: What's everyone working on?

; > > From: Naveen Swamy > > Sent: Tuesday, September 26, 2017 4:20:25 PM > > To: dev@mxnet.incubator.apache.org > > Subject: Re: What's everyone working on? > > > > Hi Nan Zhu, > > > > Thanks for the update. C

Re: What's everyone working on?

or iOS<https://aka.ms/o0ukef> > > From: Naveen Swamy > Sent: Tuesday, September 26, 2017 4:20:25 PM > To: dev@mxnet.incubator.apache.org > Subject: Re: What's everyone working on? > > Hi Nan Zhu, > > Thanks for the update. Cu

Re: What's everyone working on?

I am essentially doing the same thing as in xgboost-spark DF based ML integration, etc. Get Outlook for iOS<https://aka.ms/o0ukef> From: Naveen Swamy Sent: Tuesday, September 26, 2017 4:20:25 PM To: dev@mxnet.incubator.apache.org Subject: Re: What'

Re: What's everyone working on?

Hi Nan Zhu, Thanks for the update. Curious to know what part of mxnet-spark are you working on? I am also evaluating the integration of MXNet with Spark, planning to start with PySpark and also looking into spark-deep learning-pipelines . Thanks

Re: What's everyone working on?

working on mxnet-spark, fixing some limitations in ps-lite(busy for daily job in these days, should be back next week) On Tue, Sep 26, 2017 at 10:13 AM, YiZhi Liu wrote: > Hi Dominic, > > I'm working on 0.11-snapshot and we will soon have one. While the > stable release will be after that we

Re: What's everyone working on?

Hi Dominic, I'm working on 0.11-snapshot and we will soon have one. While the stable release will be after that we change package name from 'ml.dmlc' to 'org.apache'. 2017-09-27 0:04 GMT+08:00 Dominic Divakaruni : > That's great, YiZhi. Workday uses the Scala package and was looking for a > maven

Re: What's everyone working on?

That's great, YiZhi. Workday uses the Scala package and was looking for a maven distro for v0.11. When do you think you'll have one up? On Tue, Sep 26, 2017 at 8:58 AM, YiZhi Liu wrote: > I'm currently working on maven deploy for scala package. > > 2017-09-26 16:00 GMT+08:00 Zihao Zheng : > > I’

Re: What's everyone working on?

I'm currently working on maven deploy for scala package. 2017-09-26 16:00 GMT+08:00 Zihao Zheng : > I’m working on standalone TensorBoard, https://github.com/dmlc/tensorboard > , currently we’ve support several > features in original TensorBoard from TensorFl

Re: What's everyone working on?

I’m working on standalone TensorBoard, https://github.com/dmlc/tensorboard , currently we’ve support several features in original TensorBoard from TensorFlow in pure Python without any DL framework dependency. Recently I’m trying to bring more features to t

Re: What's everyone working on?

I am currently working with Jiajie Chen (https://github.com/jiajiechen/) on building an automated periodic benchmarking framework to run various standard MXNet training jobs with both Symbolic and Gluon interface. This framework will run following standard training jobs on a nightly and weekly basi

Re: What's everyone working on?

Getting an instance of github.com/amzn/oss-dashboard setup for mxnet. Hopefully useful to write custom metric analysis; like: "most pull requests from non-committer" and "PRs without committer comment". Hen On Mon, Sep 25, 2017 at 11:24 Seb Kiureghian wrote: > Hey dev@, > > In the spirit of br

Re: What's everyone working on?

cool!! Sounds awesome. Separately, Nvidia is working on Cuda 9 and Nvcc support in mxnet for the V100 that is going to launch sometime this fall. Hoping mxnet will be the first framework out there with a version that supports volta to its full extent! On Mon, Sep 25, 2017 at 1:20 PM, Tianqi Che

Re: What's everyone working on?

I am primarily working on deep learning compilation https://github.com/dmlc/tvm and hopefully you will hear the related updates in MXNet soon :) Tianqi On Mon, Sep 25, 2017 at 12:45 PM, Joern Kottmann wrote: > Hello all, > > I am working on the Java API and frequently update my jvm-package bran

Re: What's everyone working on?

Hello all, I am working on the Java API and frequently update my jvm-package branch here: https://github.com/kottmann/mxnet/commits/jvm-package Currently I focus on NDArray and Symbol/Executor, my short term goal is to get the MNIST sample running. Anyone interested to help out? There are many

What's everyone working on?

Hey dev@, In the spirit of bringing more activity to the mailing lists and growing the community, can everyone who is working on MXNet please share what you're working on? I'm working on -Redesigning the website . -Setting up a forum