Package Details: caffe-cuda-doc 1.0-12

Git Clone URL: https://aur.archlinux.org/caffe-cuda.git (read-only, click to copy)
Package Base: caffe-cuda
Description: A deep learning framework made with expression, speed, and modularity in mind (with cuda support, documentation)
Upstream URL: https://caffe.berkeleyvision.org/
Licenses: BSD
Conflicts: caffe-doc
Provides: caffe-doc
Submitter: dbermond
Maintainer: dbermond
Last Packager: dbermond
Votes: 2
Popularity: 0.000000
First Submitted: 2018-08-22 18:02 (UTC)
Last Updated: 2022-03-01 14:46 (UTC)

Latest Comments

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dbermond commented on 2019-05-18 20:17 (UTC)

@ruffy Probably it's because it was still depending on gcc7. I've updated the package. Try now and it should be faster.

ruffy commented on 2019-05-10 06:44 (UTC) (edited on 2019-05-10 06:45 (UTC) by ruffy)

Is it normal, that the installation process needs more than 1.5 hour?

I never experienced such a long installation for any package in the AUR or official package.

I started yesterday the installation and after 1.5 hour I had to stop the installation, because I had no time to wait longer.

Is there anybody with the same experience?

dbermond commented on 2018-09-29 01:26 (UTC)

@s3v3n I do not use anaconda. Package is building fine.

s3v3n commented on 2018-09-27 19:03 (UTC) (edited on 2018-09-27 19:10 (UTC) by s3v3n)

I'm trying to solve an error at the last step. All dependencies are ok.

==> Building and installing package ==> Making package: caffe-cuda 1.0-1 (Thu 27 Sep 2018 03:50:49 PM -03) ==> Checking runtime dependencies... ==> Checking buildtime dependencies... ==> Retrieving sources... -> Found caffe-cuda-1.0.tar.gz -> Found Makefile.config ==> Validating source files with sha256sums... caffe-cuda-1.0.tar.gz ... Passed Makefile.config ... Passed ==> Extracting sources... -> Extracting caffe-cuda-1.0.tar.gz with bsdtar ==> Starting prepare()... Python 3.6.6 :: Anaconda custom (64-bit) ==> ERROR: A failure occurred in prepare(). Aborting... ==> ERROR: Makepkg was unable to build caffe-cuda. ==> Restart building caffe-cuda ? [y/N] ==> ----------------------------------

Is there a way to solve or workaround it?