Commit 1e2760d8 authored by Martin Schitter's avatar Martin Schitter

remove remarks about libnvidia-runtime workarounds, which aren't necessary anymore

parent 7c0742df
Pipeline #22957324 passed with stages
in 22 minutes and 46 seconds
......@@ -20,7 +20,7 @@ Resolve is quite ressouce hungry and needs a lot of VRAM (2GB should be enough f
You also have to utilize the proprietary Nvidia drivers. The free "nouveau" driver, as included in the mainstream linux kernel, will definitly **not** work! but this proprietary Nvidia drivers resp. DKMS-support for them are usually available in most actual Linux distributions, and you don't have to download or compile anything yourself in most cases.
(on `debian testing`, you have to install at least the packges: `nvidia-kernel-dkms libcuda1 nvidia-opencl-icd` for this purpose. but you can choos between two general types of setup:
(on `debian testing`, you have to install at least the packges: `nvidia-kernel-dkms libcudart9.1 nvidia-opencl-icd` for this purpose. but you can choos between two general types of setup:
* if you want to make use of the nvidia device only for auxiliary GPGPU device, but still hold the intel iGPU as your primary video output device for various reasons, you have to use `apt-get install --no-install-recommends nvidia-kernel-dkms`
* otherwise -- i.e. without the ` --no-install-recommends` directive -- `nvidia-driver` resp. `xserver-xorg-video-nvidia` will become installed too.)
......@@ -41,19 +41,15 @@ You also have to install a recent version of `docker-ce`. In this case it's ofte
https://github.com/nvidia/nvidia-docker/wiki/Installation-(version-2.0)
because of some misleading instructions on their web page [[#677](https://github.com/NVIDIA/nvidia-docker/issues/677)] and temporary flaws in the actual `libnvidia-container` package in regard to `debian testing` [[#660](https://github.com/NVIDIA/nvidia-docker/issues/660)], you should actually execute this command sequence on tis particular platform right now:
because of some misleading instructions on their web page [[#677](https://github.com/NVIDIA/nvidia-docker/issues/677)], you should actually execute this command sequence on this particular platform right now:
```
curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add -
curl -s -L https://nvidia.github.io/nvidia-docker/debian9/nvidia-docker.list | sudo tee /etc/apt/sources.list.d/nvidia-docker.list
sudo apt-get install nvidia-docker2
curl 'https://gitlab.com/mash-graz/resolve/raw/master/misc/{libnvidia-container1_1.0.0~beta.1-1_amd64.deb,libnvidia-container-tools_1.0.0~beta.1-1_amd64.deb}' -o '/tmp/#1'
sudo dpkg -i /tmp/libnvidia-container*.deb
rm /tmp/libnvidia-container*.deb
sudo /etc/init.d/docker restart
sudo pkill -SIGHUP dockerd
```
## System Sound Setup
The container makes use of [PulseAudio](https://www.freedesktop.org/wiki/Software/PulseAudio/) for sound support as the most common solution available on Linux desktop setups. If you want to utilize this kind of common audio infrastructure for serious work, it's quite useful to change change the system wide default sample rate to 48k.
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