Package Details: mxnet-mkl 1.7.0-1

Git Clone URL: https://aur.archlinux.org/mxnet.git (read-only, click to copy)
Package Base: mxnet
Description: Flexible and Efficient Library for Deep Learning (with MKL)
Upstream URL: http://mxnet.io/
Keywords: deep_learning deep_neural_networks distributed_systems machine_learning
Licenses: Apache
Conflicts: mxnet
Provides: mxnet
Submitter: Godisemo
Maintainer: petronny
Last Packager: petronny
Votes: 10
Popularity: 0.72
First Submitted: 2017-02-11 00:12
Last Updated: 2020-10-13 13:21

Required by (8)

Sources (15)

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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stefan-zobel commented on 2020-10-12 12:27

Doesn't build for me (with error "invalid reference: 1.7.0.rc1")

==> Removing existing $srcdir/ directory...
==> Extracting sources...
  -> Creating working copy of mxnet git repo...
Cloning into 'mxnet'...
done.
fatal: invalid reference: 1.7.0.rc1
==> ERROR: Failure while creating working copy of mxnet git repo
    Aborting...
error making: mxnet (mxnet-mkl-cuda)

But it worked after I've changed the pkgver in PKGBUILD to 1.7.0:

pkgver=1.7.0

hwkiller commented on 2020-02-26 18:42

I'm not currently using the AUR package, but is the linking error you see the same as:

[ 94%] Linking CXX executable im2rec
/bin/ld: libmxnet.a(la_op.cc.o): undefined reference to symbol 'cblas_ssyrk'
/bin/ld: /usr/lib/libcblas.so.3: error adding symbols: DSO missing from command line
collect2: error: ld returned 1 exit status
make[2]: *** [CMakeFiles/im2rec.dir/build.make:103: im2rec] Error 1

? I'm trying to build with CUDA and openblas, using their from-source instructions [Because I want to use it for R, not for python, and it's just easier this way]. I'd like to know whether I'm hitting the same snag as you all.

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

cmake -DUSE_NCCL=1 -DUSE_CPP_PACKAGE=1 -DCMAKE_BUILD_TYPE=Release -GNinja ..

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 dev_menu.py 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 (https://pastebin.com/5K3FZkCB) 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) https://pastebin.com/VgUNTm6A

  • apply MKLDNN patch (remove -Werror causing abort) https://pastebin.com/6SpE3btx

  • call ./dev_menu.py 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?