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Package Details: caffe-cuda-doc 1.0-12
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Git Clone URL: | https://aur.archlinux.org/caffe-cuda.git (read-only, click to copy) |
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Package Base: | caffe-cuda |
Description: | A deep learning framework made with expression, speed, and modularity in mind (with cuda support) |
Upstream URL: | https://caffe.berkeleyvision.org/ |
Licenses: | BSD |
Conflicts: | caffe-doc |
Provides: | caffe-doc |
Submitter: | dbermond |
Maintainer: | dbermond |
Last Packager: | dbermond |
Votes: | 2 |
Popularity: | 0.000413 |
First Submitted: | 2018-08-22 18:02 (UTC) |
Last Updated: | 2022-03-01 14:46 (UTC) |
Dependencies (20)
- boost (boost-git) (make)
- boost-libs (boost171, boost-libs-git) (make)
- cuda (cuda-11.0, cuda11.1) (make)
- doxygen (doxygen-git, doxygen-clang) (make)
- gflags (gflags-static, gflags-git) (make)
- ghostscript (make)
- google-glog (google-glog-static, glog-git) (make)
- hdf5 (hdf5-git, hdf5-openmpi) (make)
- lapack (openblas-lapack-git, lapack-tmg, lapack-git, armpl, openblas-lapack, atlas-lapack, openblas-lapack-static) (make)
- leveldb (make)
- lmdb (lmdb-git) (make)
- nccl (nccl-git) (make)
- openblas (openblas-lapack-git, openblas-git, openblas-cblas-git, libopenblas, openblas-lapack, openblas-lapack-static) (make)
- opencv (opencv2, opencv-cuda) (make)
- protobuf (protobuf-git) (make)
- python (python38, python37, python3.7, nogil-python, python39, python36, python311, python32) (make)
- python-numpy (python-numpy-git, python-numpy-openblas, python-numpy-mkl-bin, python-numpy-mkl) (make)
- python-pandas (make)
- texlive-core (texlive-installer, texlive-full) (make)
- texlive-latexextra (texlive-installer, texlive-full) (make)
Latest Comments
milesxu commented on 2020-07-28 01:16 (UTC)
@dbermond I see, thank you! I found that CUDA has been updated to 11 in ArchLinux. But I am using Manjaro, so I will update caffe-cuda after Manjaro release CUDA 11 package.
dbermond commented on 2020-07-27 16:46 (UTC)
@milesxu It looks like that you have not updated your system (to get a new cuda version) before building the package. What's your cuda version?
milesxu commented on 2020-07-27 08:57 (UTC)
When build the newest version 1.0-10, the error below is occured:
nvcc fatal : Unsupported gpu architecture 'compute_80'
ruffy commented on 2019-06-22 13:06 (UTC) (edited on 2019-06-22 13:07 (UTC) by ruffy)
@dbermond okay thanks
dbermond commented on 2019-06-22 12:01 (UTC) (edited on 2019-06-22 12:01 (UTC) by dbermond)
@ruffy The cuda package is showing issues when compiling cuda code after the gcc 8 -> 9 update. A ticket is opened at the bug tracker and this is being worked on by the cuda package maintainer.
gcc8 will be soon on the repos to fix this.
https://bugs.archlinux.org/task/62931
ruffy commented on 2019-06-22 07:09 (UTC) (edited on 2019-06-22 07:12 (UTC) by ruffy)
Anybody knows how to solve this issue?
..........
..........
usr/include/c++/9.1.0/bits/stl_function.h(437): error: identifier "__builtin_is_constant_evaluated" is undefined
1 error detected in the compilation of "/tmp/tmpxft_00006cb5_00000000-18_adam_solver.compute_75.cpp1.ii". make: *** [Makefile:608: .build_release/cuda/src/caffe/solvers/adam_solver.o] Error 1 ==> ERROR: A failure occurred in build(). Aborting...
dbermond commented on 2019-05-19 13:28 (UTC)
@ruffy Nice. Good to hear.
I think that error was due to some recent changes in texlive package. Now everything is fine.
ruffy commented on 2019-05-19 09:19 (UTC)
@dbermond, thx. I was able to install it, after quite some time.
I think that there is also some dependency missing. The error that the LaTeX package 'newunicodechar.sty' is missing occured during building.
I manually installed it on my machine, after that everything was fine.
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?