RE: MKLDNN Build (pre: call for contributions to next MXNet release)

+source data to read clearly. > -Original Message- > From: Zhao, Patric [mailto:patric.z...@intel.com] > Sent: Friday, March 16, 2018 8:29 AM > To: 'dev@mxnet.incubator.apache.org' > Cc: Huang, Jin1 ; Da Zheng

Re: call for contributions to next MXNet release

Hi Anirudh - just to clarify - April 9th as target to create 1st release candidate to start voting process. Suggest to focus between feature freeze on March 30th and 1st release candidate on April 9th to address the long list of known bugs - https://github.com/apache/incubator-mxnet/labels/Bug

RE: MKLDNN Build (pre: call for contributions to next MXNet release)

Hi Pedro, We and Zheng Da tested the performance on Mac laptop (Intel i7 CPU) as below table. The test script is example/image-classification/benchmark_score.py. MKLDNN shows better performance in MAC too. topo batch size gcc7 MKLDNN=1 gcc7 MKLDNN=0 speedup alexnet 1 38.44 24.49

Re: call for contributions to next MXNet release

Hi all, Chris and I will be working on the 1.2.0 release. If you haven't already, please let me know if you have any new features that you are working on and would like to be included in the release.

Re: MXNet C++ package improvements

I've improved the document based on recent comments, please have another look. What has been changed so far: * Fixed unclear formulations * Added details about the current state of the library and why is it complicated to use * Improved the explanation of the piml idiom and provided a code