![]() ( 5) Multiprocessors, (192) CUDA Cores/MP: 960 CUDA Cores Total amount of global memory: 1994 MBytes (2090401792 bytes) ![]() The ouput will provide some information of the detected graphics card(s):ĬUDA Device Query (Runtime API) version (CUDART static linking)ĬUDA Driver Version / Runtime Version 8.0 / 8.0ĬUDA Capability Major/Minor version number: 3.0 Restart the console, and test the installation using:Ĭopyright (c) 2005-2016 NVIDIA CorporationĬuda compilation tools, release 8.0, V8.0.44Īdditionally, the samples can be compiled, for example navigating to ~/NVIDIA_CUDA-8.0_Samples/1_Utilities/deviceQuery (if the default path for the samples was used) and then: bash_profile:Įxport PATH=/usr/local/cuda-8.0/bin:$PATHĮxport LD_LIBRARY_PATH=/usr/local/cuda-8.0/lib64:$LD_LIBRARY_PATH This also describes how to uninstall the installation and gives hints to adapt PATH and LD_LIBRARY_PATH. To install the driver using this installer, run the following command, replacing with the name of this run file: A driver of version at least 361.00 is required for CUDA 8.0 functionality to work. ***WARNING: Incomplete installation! This installation did not install the CUDA Driver. Please see CUDA_Installation_Guide_Linux.pdf in /usr/local/cuda-8.0/doc/pdf for detailed information on setting up CUDA. To uninstall the CUDA Toolkit, run the uninstall script in /usr/local/cuda-8.0/bin LD_LIBRARY_PATH includes /usr/local/cuda-8.0/lib64, or, add /usr/local/cuda-8.0/lib64 to /etc/ld.so.conf and run ldconfig as root Samples: Installed in /home/david, but missing recommended libraries Toolkit: Installed in /usr/local/cuda-8.0 The installation will run through and output something like: In order to manually install only the driver, use: # You might want to install the samples (in order to check the installation) # Press q in the beginning to skip viewing the agreement. Note that after stopping the graphical interface, it might be necessary to press Ctrl + Alt + F1 to start the command prompt: ![]() The following steps should then be noted down or opened on another device. Installing CUDAįor installing CUDA 8.0, I followed Martin Thoma's answer on Ask Ubuntu as well as the official Quick Start Guide.ĬUDA 8.0 can be downloaded from here, after choosing Linux > x86_64 > Ubuntu > 14.04 > runfile (local) - the file is ∼1.3GB of size. Note that when CuDNN is already installed as described below, this also removes CuDNN. To check the exact installation path, use: Therefore, removing /usr/local/cuda-8.0/ did the job. ![]() To uninstall the CUDA Toolkit, run the uninstall script in `/usr/local/cuda-7.0/bin`. To start off clean, I first removed the installed CUDA as described during the installation: Therefore, in the following, I will not describe details on how to install and configure the Nvidia driver. Some problems I encountered, including the "login loop", are described in this article: Caffe not Finding CUDA, NVIDIDA Login Loop, Monitoring GPU Usage. Note that I previously installed an Nvidia driver and CUDA 7.5 as described in this article: Installing CUDA and Caffe on Ubuntu 14.04. Although there are many guides how to install CUDA/CuDNN for Tensorflow or Caffe - and it is probably not possible to write an all-encompassing guide -, I want to outline the installation process that worked for me. I want this setup to work with both Tensorflow and Caffe, preferrably from within Spyder and/or P圜harm. Therefore, I decided to upgrade to CUDA 8.0 and also install the latest CuDNN. ![]() Unfortunately, Tensorflow did not work with the installed CUDA 7.5 on Ubuntu 14.04. For my master thesis, I am moving from Caffe to Tensorflow. ![]()
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