I have a machine (Dell precision 7920) with two GPU cards (GPU0: Quadro P400 and GPU1: Titan Xp). The machine was delivered with Ubuntu 18.04.3 LTS and CUDA 10.0 already installed. Naturally the idea is to use the Quadro card for xorg and the Titan for calculation. Actually the graphical interface runs on the Quadro.
In order to run some applications (mainly for Deep Learning) I need also the nvcc compiler and cuDNN but I have some questions:
Oddly the nvcc compiler is nowhere to be found in the current installations: do I have to remove the whole CUDA drivers and reinstall the CUDA toolkit? Are there ways to get nvcc without a full installation?
In case of a full reinstall, are there any “precautions” I should take before the removing/purging of the system or it is quite “safe”? (e.g. work in safe mode, install nouveau drivers, etc.)
(secondary) btw in the actual configuration cuda seems to work fine, but when compiling stuff as darknet it does not find the “cuda_runtime.h” and I am not sure if this is due a simple path mistake or something related to the default installation…?
(secondary) For the moment, there are compatibility problems with TF 2.0 and CUDA 10.2, right? In this case I should go for the CUDA 10.0, I guess?
thanks a lot!
(and sorry if the answers were already in other topics :/)