Package Details: caffe 1.0-18

Git Clone URL: https://aur.archlinux.org/caffe.git (read-only, click to copy)
Package Base: caffe
Description: A deep learning framework made with expression, speed, and modularity in mind (cpu only)
Upstream URL: https://caffe.berkeleyvision.org/
Keywords: ai artificial cuda intelligence nvidia
Licenses: BSD
Conflicts: caffe-cpu
Provides: caffe-cpu
Replaces: caffe-cpu
Submitter: yiuin
Maintainer: dbermond
Last Packager: dbermond
Votes: 18
Popularity: 0.000000
First Submitted: 2015-10-17 05:31 (UTC)
Last Updated: 2022-03-01 14:24 (UTC)

Latest Comments

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dbermond commented on 2017-04-08 13:04 (UTC)

@g3n35i5 I understand. Unfortunately I cannot help you to achieve matlab support. But I suggest you to try caffe-git because currently it has more features and brings fixes that are not present in the release version.

g3n35i5 commented on 2017-04-04 08:25 (UTC)

@Bermond Thank you for your quick reply. I just asked, because I had trouble building the matcaffe respectively using it in matlab, due to outdated libraries in mex. So my first thought was that I missed something in the installation process. Does anyone have experience in building and using matcaffe on archlinux?

dbermond commented on 2017-04-01 16:01 (UTC)

@g3n35i5 Yes, I've seen this. But I don't think that it's a good idea beucase: 1) matlab is a commercial product and not everyone can have it. It would break package building for those who don't have it, which would not be a small number of people. 2) matlab packages cannot be build directly or with AUR helpers, but it requires manual download and intervention. So adding matlab dependency would also break AUR helpers usability for caffe.

g3n35i5 commented on 2017-03-30 15:24 (UTC)

Have you thought about adding matcaffe to the PKGBUILD?

yiuin commented on 2016-08-11 17:25 (UTC) (edited on 2016-08-11 17:37 (UTC) by yiuin)

Sorry all, I clearly haven't been looking at this regularly. For Cuda I think a separate package might be needed, if its going to have to compile with a different compilers. PKGBUILD isn't really setup for options like that. So I looked at https://aur.archlinux.org/packages/caffe-cpu-git/ and I think I'm going to disown this package so that that package can be the main caffe one. I haven't done a good job at maintaining this. Maybe at some point I'll make a matching caffe-gpu-git.

yiuin commented on 2016-08-11 17:15 (UTC)

Ahh Kamahl! I'll add it.

jachymb commented on 2016-08-11 13:22 (UTC)

I needed hdf5-cpp-fortran, without it, I got: CMake Error: The following variables are used in this project, but they are set to NOTFOUND. Please set them or make sure they are set and tested correctly in the CMake files: HDF5_hdf5_cpp_LIBRARY linked by target "caffe" in directory /tmp/yaourt-tmp-jachym/aur-caffe/src/caffe-rc3/src/caffe -- Configuring incomplete, errors occurred!

matthieu637 commented on 2016-06-30 10:01 (UTC) (edited on 2016-06-30 10:06 (UTC) by matthieu637)

For CUDA : I cannot compile it with gcc version 6 (currently used by arch). I had to use gcc5 and add -DCMAKE_C_COMPILER=gcc-5 for cuda (while CXX compiler can be leave to gcc6).

acgtyrant commented on 2016-06-07 05:39 (UTC)

I think you can add cuDNN as the optional dependence.

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