| Git Clone URL: | https://aur.archlinux.org/python-dlib.git (read-only, click to copy) |
|---|---|
| Package Base: | python-dlib |
| Description: | Dlib is a general purpose cross-platform C++ library designed using contract programming and modern C++ techniques. |
| Upstream URL: | http://www.dlib.net/ |
| Licenses: | boost |
| Conflicts: | python-dlib |
| Provides: | python-dlib |
| Submitter: | u1bmoW1r16 |
| Maintainer: | petronny (AutoUpdateBot) |
| Last Packager: | petronny |
| Votes: | 16 |
| Popularity: | 0.25 |
| First Submitted: | 2016-10-27 15:05 (UTC) |
| Last Updated: | 2024-08-10 03:07 (UTC) |
Hi I just took over python-dlib and I'm trying to merge this and python-dlib into one PKGBUILD.
So I have some questions:
If I build and install python-dlib-cuda with cuda, then remove cuda with pacman -Rdd cuda, will python-dlib-cuda run and fallback to cpu?
Replace cuda in 1 with cudnn or an optional dependency like cblas, will python-dlib-cuda run without it?
@p00h cuda presence is tested for by cmake (in dlib/CMakeLists.txt from line 593 you can see the cuda tests), hence there is no need to explicitly invoke it. Also even if it is explicitly invoked, and cudnn isn't installed the package will still build fine, but without gpu support. However, avx and sse are not tested for by cmake (as far as I could find), which is why they are tested for by the PKGBUILD.
You are absolutely correct about cudnn being a missing essential dependency, thanks for pointing it out!
Unfortunately, the provided PKGBUILD is invalid: 1) It lacks of essential cudnn package in dependencies 2) It does not contain the essential --yes DLIB_USE_CUDA param.
If you tried to make a package, it would be compiled but without the CUDA support. Feel free to check it out: cmake configuration process will claim that.
So there is the working (fixed) PKBUILD, it was tested with face_recognition package and 100% works. https://pastebin.com/c4eyhzEZ
agradzki,
I'll adopt the package and maintain it then. :)
AbysmalBiscuit,
I have disowned this package as I do not have an Arch Linux system to test this on right now.
Thanks for posting the fixes!
Hey,
TLDR: Fixed and improved PKGBUILD updated to the latest version (19.9) is available here: https://pastebin.com/NufcQpRj
There are other issues besides those pointed out by Karmadon.
First, the environment variables that indicate the compiler that CUDA needs are not set before building the Python3 version, hence the Python3 package has no CUDA support.
Second, there is no need to specify the CUDA include and library directories as they get auto detected.
Third, no SSE optimizations are set, as compared with the 'dlib' package also available in the AUR.
Fourth, compiling times for Python3 can be improved somewhat via the use of multiple proceses (although this isn't that much of an issue).
I have fixed and improved the PKGBUILD file, which can be downloaded from the pastebin link in the TLDR.
Hello!
I have to change variable "md5" to "md5sums" and add _pkgname=dlib in order to be able to compile it.
Pinned Comments
petronny commented on 2024-03-30 13:11 (UTC) (edited on 2024-03-30 13:13 (UTC) by petronny)
Set
_build_cpuand_build_cudato 1 and 0 to build or not build the CPU or CUDA version.If
options=(!lto)has no effect, please check if it's still enabled in/etc/makepkg.conf.petronny commented on 2023-11-28 04:57 (UTC)
Prebuilt binaries of this package can be found in arch4edu.