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Nvidia cuda toolkit for debian
Nvidia cuda toolkit for debian










nvidia cuda toolkit for debian
  1. NVIDIA CUDA TOOLKIT FOR DEBIAN APK
  2. NVIDIA CUDA TOOLKIT FOR DEBIAN INSTALL
  3. NVIDIA CUDA TOOLKIT FOR DEBIAN DRIVERS

$ scp /lib/x86_64-linux-gnu/libgcc_s.so.1 sudo /usr/glibc-compat/sbin/ldconfig /usr/glibc-compat/lib /lib /usr/lib Gcc: error trying to exec 'cc1plus': execvp: No such file or directoryĬicc: Relink `/usr/lib/libgcc_s.so.1' with `/usr/glibc-compat/lib/libc.so.6' for IFUNC symbol `memset' $ sudo /opt/cuda-9.2/bin/uninstall_cuda_9.2.plĬannot find termcap: Can't find a valid termcap file at /usr/share/perl5/core_perl/Term/ReadLine.pm line 377. # Enter CUDA Samples Location: /opt/cuda-9.2/samples

NVIDIA CUDA TOOLKIT FOR DEBIAN INSTALL

# Do you want to install a symbolic link at /usr/local/cuda? y # Do you want to install the OpenGL libraries? y

nvidia cuda toolkit for debian

# Install NVIDIA Accelerated Graphics Driver for Linux-x86_64 396.37? y # You are attempting to install on an unsupported configuration. Would you like to continue installation anyway?

NVIDIA CUDA TOOLKIT FOR DEBIAN APK

$ apk add linux-vanilla-dev # Alpine LinuxĮRROR: Failed to execute `/sbin/ldconfig`: The installer has encountered the following error during installation: 'Failed to execute `/sbin/ldconfig`'. Please make sure you have installed the kernel source files for your kernel and that they are properly configured Please install your distribution's libc development package.ĮRROR: Unable to find the kernel source tree for the currently running kernel. Install the glibc compatibility layer package for Alpine Linux.ĮRROR: You do not appear to have libc header files installed on your system. nvidia-installer: No such file or directory Uncompressing NVIDIA Accelerated Graphics Driver for Linux-x86_64 390.77NVIDIA-Linux-x86_64-390.77.run: line 998: /tmp/makeself.XXX/xz: No such file or directory\nExtraction failed.īash. $ /usr/glibc-compat/bin/localedef -i en_US -f UTF-8 en_US.UTF-8 $ apk add sudo bash ca-certificates wget xz make gcc linux-headers Yes they Nvidia DockerHub images are 1-2 gig's large, but normally you only have to download them once, as you use the image as a base, if you add your code to it only those layers of your code which are normally small to dozens of Mbi are to be recurrently pulled/pushed, not the entire image, so honestly I can't see a reason why people is so much concerned about image sizes, small is better no doubt but up to a point, spending your valuable time in your actual needs is far better. If you want to be picky go to their Gitlab's repository for dockers, you can build up Debian/Ubuntu by hand pretty easily and quick. Or even better use the "huge" Nvidia DockerHub images (ubuntu LTS based).Īnyway, beyond this question, the Nvidia DockerHub ones are the best way to go, they are supported by the creators of CUDA Toolkit itself and they are no brainers. Use Debian's slim images or Ubuntu minimal and install official supported files manually, as this is the smallest you can go.

nvidia cuda toolkit for debian

NVIDIA CUDA TOOLKIT FOR DEBIAN DRIVERS

Nvidia drivers and CUDA Toolkits are incredibly complex systems that honestly I can't see the point to compile it yourself for an unsupported system library or an unsupported port for libc, with all the unexpected to happen even in the case it compiles. The reality is that Nvidia/CUDA is not supported in any way with Alpine Linux Musl or its libc port, and you will end up with a flaky image nevertheless even if you succeed with your alchemist venture.












Nvidia cuda toolkit for debian