However, it will install the latest version of these packages, which may or may not match the version of the kernel your system is using.Therefore, it is best to manually ensure the correct version of the kernel headers and development packages are installed prior to installing the CUDA Drivers, as well as whenever you change the kernel version.It is also not guaranteed that XMP sidecars written by a development version will work with a release version.
For example, if your system is running kernel version 3.17.4-301, the 3.17.4-301 kernel headers and development packages must also be installed.
While the Runfile installation performs no package validation, the RPM and Deb installations of the driver will make an attempt to install the kernel header and development packages if no version of these packages is currently installed.
Note: This guide covers installation only on systems with X Windows installed. If your graphics card is from NVIDIA and it is listed in your GPU is CUDA-capable.
The Release Notes for the CUDA Toolkit also contain a list of supported products.
darktable is packaged and compiled for Free BSD, the binary package can be found here: BSD/ports/packages/graphics/ To install darktable on your system, run For a more complete set of instructions for different distributions have a look at our Wiki.
First a word of warning: Using the development version of darktable might be risky in that it can break anytime, kill your edits, eat your kittens or do other nasty things.Note that below are the common-case scenarios for kernel usage.More advanced cases, such as custom kernel branches, should ensure that their kernel headers and sources match the kernel build they are running.Just keep in mind that IF you ever want to go back it might be hard.Be sure to have all the build dependencies installed. If you don't have it already, install git from your distribution's repositories.This bundle supports mac OS versions starting with 10.7 (Lion) running on 64 bit Intel architecture.