Package Details: mxnet 1.4.0-2

Git Clone URL: (read-only)
Package Base: mxnet
Description: Flexible and Efficient Library for Deep Learning
Upstream URL:
Keywords: deep_learning deep_neural_networks distributed_systems machine_learning
Licenses: Apache
Submitter: Godisemo
Maintainer: petronny
Last Packager: petronny
Votes: 8
Popularity: 0.012810
First Submitted: 2017-02-11 00:12
Last Updated: 2019-04-03 07:53

Dependencies (27)

Sources (2)

Latest Comments

1 2 3 Next › Last »

vuvko commented on 2018-12-04 10:50

As opencv4 renamed it's package name for pkg-config from opencv to opencv4 current version cannot be built.

Upd: seems changes in opencv API prevent mxnet from building. I'm getting errors about undefined constants:

tools/ In function ‘int main(int, char**)’: tools/ error: ‘CV_LOAD_IMAGE_COLOR’ was not declared in this scope int color_mode = CV_LOAD_IMAGE_COLOR; ^~~~~~~~~~~~~~~~~~~ tools/ note: suggested alternative: ‘CV_HAL_DFT_STAGE_COLS’ int color_mode = CV_LOAD_IMAGE_COLOR; ^~~~~~~~~~~~~~~~~~~ CV_HAL_DFT_STAGE_COLS tools/ error: ‘CV_INTER_LINEAR’ was not declared in this scope int inter_method = CV_INTER_LINEAR; ^~~~~~~~~~~~~~~ tools/ note: suggested alternative: ‘CV_INLINE’ int inter_method = CV_INTER_LINEAR; ^~~~~~~~~~~~~~~ CV_INLINE tools/ error: ‘CV_IMWRITE_PNG_COMPRESSION’ was not declared in this scope encode_params.push_back(CV_IMWRITE_PNG_COMPRESSION); ^~~~~~~~~~~~~~~~~~~~~~~~~~ tools/ error: ‘CV_IMWRITE_JPEG_QUALITY’ was not declared in this scope encode_params.push_back(CV_IMWRITE_JPEG_QUALITY); ^~~~~~~~~~~~~~~~~~~~~~~

nextAaron commented on 2018-11-14 19:20


I had the same problem but my patch is different:

diff --git a/src/operator/nn/cudnn/ b/src/operator/nn/cudnn/ index 26b3484eb..1162c0a3f 100644 --- a/src/operator/nn/cudnn/ +++ b/src/operator/nn/cudnn/ @@ -23,9 +23,9 @@ * \brief * \author Junyuan Xie */ -#include "./cudnn_algoreg-inl.h" #include <mxnet/base.h> #include <mxnet/ndarray.h> +#include "./cudnn_algoreg-inl.h"

#include <sstream> #include <unordered_map>

petronny commented on 2018-11-14 04:00

@nextAaron When I'm building v1.3.0, it raises some errors around the CUDA_CALL stuff.
But the git master branch builds successfully.
And there is only one commit changed that file after v1.3.0.
So I extracted this patch from that commit and named it cuda_call.patch.

I agree that it's not a good choice for the patch's name...
Any suggestions?

nextAaron commented on 2018-11-14 01:33

What's cuda_call.patch for?

petronny commented on 2018-11-09 06:33

@vuvko Thanks for pointing it out. Fixed now.

vuvko commented on 2018-06-28 12:08

Why package version is not used when cloning repository? Or is package versioning different from mxnet?

sl1pkn07 commented on 2018-04-28 17:09

about python:

sl1pkn07 commented on 2018-04-22 21:17

any help?

EDIT ( ok, with USE_F16C=0 seems workground the error (or -DCOMPILER_SUPPORT_MF16C=OFF if use cmake)

and test the python part, same fail (coredump) like other users, tested with cmake or make

roachsinai commented on 2018-03-26 21:37

Same issue :-(.

free(): invalid pointer /tmp/yaourt-tmp-roach/aur-mxnet/./PKGBUILD: 行 50: 20759 已放弃 (核心已转储)python build --with-cython ==> 错误: 在 build() 中发生一个错误。 正在放弃... ==> 错误:Makepkg 无法构建 .

domschl commented on 2018-03-04 09:42

I've had the same issue as @domanov. Build fails during python build with segmentation fault. Any suggestions what can be done to narrow this down?