Package Base Details: mxnet

Git Clone URL: (read-only, click to copy)
Keywords: deep_learning deep_neural_networks distributed_systems machine_learning
Submitter: Godisemo
Maintainer: petronny
Last Packager: petronny
Votes: 9
Popularity: 0.007808
First Submitted: 2017-02-11 00:12
Last Updated: 2020-01-14 06:05

Packages (3)

Pinned Comments

petronny commented on 2019-06-21 08:00

And about this package, I've splitted it into mxnet{,-cuda,-mkl}. And it will take lots of time and space to compile.

The pre-built binaries of mxnet{,-cuda,-mkl} and their dependencies can be found in arch4edu.

Latest Comments

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olko commented on 2020-02-05 05:41

Update: MXNet can not be build with support for CUDA because Arch Linux uses GCC-9 while CUDA-10.2 supports only GCC-8. The CUDA-10.2 pacakge in Arch Linux is statically linked to GCC-8.

Mixing GCC-8 and GCC-9 compilation units may result in UB.

We have to wait for NVIDIA to release a CUDA version with GCC-9 support (of course Arch Linux's default compiler should remain GCC-9 too).

olko commented on 2020-02-04 05:11

I could compile apache-mxnet-1.5.1 from sources without patching on a upt-to-data arch installation (gcc-9.2, cuda-10.2).

mkdir build && cd bild


ninja -v

enables CUDA, NCCL, OpenCV, OpenMP, MKL (intel), CPP-API.

Seams that patching isn't necessary.

Unfortunately linking fails at a clean checkout of mxnet from github (because of C++-ABI incompatibility) ...

petronny commented on 2020-02-04 04:58

@olko Let's do the steps one by one.
I'm trying to enable opencv and migrate the build script to now.

olko commented on 2020-01-15 20:20

any update? currently the AUR package of MXNet is not usable :(

petronny commented on 2019-12-25 08:52

@olko I'll take a look next month.

olko commented on 2019-12-25 08:39

@petronny Your mxnet package fails because of unmet dependencies to intel and mkl packages (so I used the upstream archive).

I got MXNet compiled with OpenCV + CUDA + MKL.

The problem was that Arch Linux provides the newest GCC version (9.2.0 at this time) and newer versions are more eager to generate warnings.

MXNet uses -Werror that causes compilation abortion. As a quick fix I removed -Werror from the cmake config for MKLDNN. But I'll provide a pull request upstream that eliminates the warnings.

My Steps:

  • download and extract the official MXNet 1.5.1 archive (apache-mxnet-src-1.5.1-incubating.tar.gz)

  • cd apache-mxnet-src-1.5.1-incubating

  • store cmake config ( as cmake_options.yml in apache-mxnet-src-1.5.1-incubating (I believe that USE_MKLML_MKL and USE_MKLDNN are automatically switched on if USE_MKL_IF_AVAILABLE is enabled)

  • apply OpenCV patch (OpenCV-flags in namespace cv)

  • apply MKLDNN patch (remove -Werror causing abort)

  • call ./ build

Please, provide a new AUR package that uses my configuration from above (e.g. CUDA + MKL enabled for MXNet).

ty, Oliver

petronny commented on 2019-12-24 05:28

@olko Because it doesn't build when I wrote the PKGBUILD.

If it's building now or you figure out how to make it build, I'm happy to merge your changes.

olko commented on 2019-12-23 20:50

Why is mxnet configured without support for OpenCV?

olko commented on 2019-12-23 20:49

Why is no mxnet-cuda-mkl provided?

zottelef commented on 2019-07-17 08:30

@petronny: after many years using R and installing packages from source I feel numb.

I added the three lines, but the following error still persists:

In file included from
/usr/include/opencv4/opencv2/opencv.hpp:48:10: fatal error: opencv2/opencv_modules.hpp: No such file or directory
   48 | #include "opencv2/opencv_modules.hpp"
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
compilation terminated.