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From Sergio Fernández <>
Subject Re: Include MKLDNN into default mxnet pip package
Date Fri, 19 Oct 2018 13:45:33 GMT
If there is no downside on platforms not supporting AVX512 instructions,
then +1

On Wed, Oct 17, 2018, 14:10 Alex Zai <> wrote:

> Hey all,
> We have been working hard these past few months to integrate and stabilize
> Intel’s MKLDNN deep learning CPU accelerator into Mxnet and have made
> incredible progress. On CPUs with AVX512 instructions (such as c5.18x) we
> have seen performance increase up to 12x and on other platforms (Macs,
> AVX2) we seen a speedup of 1.5+. Full list of benchmarks can be found here
> (
>  and
> Currently, using this accelerator requires the developer to either pip
> install the mxnet-mkl version of mxnet or to build it themselves from
> source. Given that we should try to provide the best performance "out of
> the box” with mxnet we should include this in the default build. The mkldnn
> library is included with in the pip package build so it does not require an
> external dependency.
> There were concerns that MKLDNN could cause regressions on certain
> platforms (as it did with the tensorflow version a while back); but we
> added a env flag (MXNET_MKLDNN_ENABLED) that allows users to turn of this
> feature during runtime. Please bring up any other concerns you may have and
> your thoughts on including this accelerator in the default build.
> Best,
> Alex

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