Package Details: mxnet-cuda 1.7.0-2

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 CUDA)
Upstream URL: https://mxnet.apache.org/
Keywords: deep_learning deep_neural_networks distributed_systems machine_learning
Licenses: Apache
Conflicts: mxnet
Provides: mxnet
Submitter: Godisemo
Maintainer: None
Last Packager: petronny
Votes: 12
Popularity: 0.000000
First Submitted: 2017-02-11 00:12 (UTC)
Last Updated: 2020-12-12 11:17 (UTC)

Dependencies (27)

Required by (7)

Sources (15)

Pinned Comments

petronny commented on 2019-06-21 08:00 (UTC) (edited on 2019-06-25 07:24 (UTC) by petronny)

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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zottelef commented on 2019-06-25 11:47 (UTC)

@petronny

gcc7 7.4.1+20181207-4 vtk 8.2.0-4

petronny commented on 2019-06-25 07:26 (UTC) (edited on 2019-06-25 07:27 (UTC) by petronny)

@zottelef I just built mxnet in my build system last night with no error.

Which version of vtk and gcc are you using? I've checked the log of the build system. It is building against vtk-8.2.0-3 and gcc7-7.4.1+20181207-4.

BTW, I've updated the link to pre-built binaries.

zottelef commented on 2019-06-25 07:12 (UTC)

A new error raised (vtk related): /usr/bin/ld: /usr/lib/libvtkIOExport.so.1: undefined reference to `std::__cxx11::basic_ostringstream<char, std::char_traits<char>, std::allocator<char> >::basic_ostringstream()@GLIBCXX_3.4.26' collect2: error: ld returned 1 exit status make: *** [Makefile:526: bin/im2rec] Error 1

zottelef commented on 2019-06-21 08:06 (UTC)

@petronny do not be in an hurry and take you time, man! Thanks for your work so far. It is highly appreciated. R packages it would be "thick gravy goodness"! :-)

petronny commented on 2019-06-21 08:00 (UTC) (edited on 2019-06-25 07:24 (UTC) by petronny)

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.

petronny commented on 2019-06-21 07:58 (UTC)

@zottelef I'll try but since I never used R before, so I can't guarantee anything.

And I'm currently working on gcc8 so I'll start trying 2 weeks later.

zottelef commented on 2019-06-21 07:46 (UTC)

@petronny is it possible to include the compilation of the R package too? https://mxnet-tqchen.readthedocs.io/en/latest/how_to/build.html#r-package-installation

zottelef commented on 2019-06-18 13:23 (UTC)

@petronny it compiled perfectly. Thanks

petronny commented on 2019-06-18 08:12 (UTC)

@zottelef You are using gcc 9.1.0-1 in the testing repository. You have to install gcc 8.3.0-1 in the core repository or install gcc7 from AUR and manually set CC to gcc-7 and CXX to g++-7 in PKGBUILD.

zottelef commented on 2019-06-18 08:08 (UTC)

@petronny. Yes. I update cuda today (cuda 10.1.168-2, for example NVIDIA (R) CUDA Debugger is 10.1 release), tried to install mxnet right now but the error remains the same: gcc version 9.1.0 (GCC)

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