- #Ubuntu 16.04 install cuda 6.5 driver
- #Ubuntu 16.04 install cuda 6.5 full
- #Ubuntu 16.04 install cuda 6.5 download
Gcc -version & g++ -version & sudo apt-get -y install gcc-6 & sudo apt-get -y install g++-6 & sudo update-alternatives -install "/usr/bin/gcc" "gcc" "/usr/bin/gcc-6" 60 -slave "/usr/bin/g++" "g++" "/usr/bin/g++-6" & sudo update-alternatives -config gcc & gcc -version & g++ -version You will need gcc6 and g++6 max for cuda 9 and then test samples for cuda : In nano (^ = ctrl, so it's ctrl+x to save modfications, then press enter), you can verify that file has been modified by relaunching it, then reboot to run sample testsĪfter reboot, to run sample tests you need to use update-alternatives to install gcc-6 and g++-6 instead of the default gcc7 deb for ubuntu 18.04 cuda 9.0 : max deb file 16.04 for cuda 9.0) :Īnd/or (better) these (it's for ubuntu 16.04 but you can adapt it) cuda install, it's easier to use nano than vim to edit files though Then i recommend following nvidia official instructionsįor ubuntu 18.04 you have to use run file for both cuda and cudnn (no. Just install nvidia-384 (without dev), then reboot, is fine I dont recommend using ppa, biggest chance to mess up everything :
#Ubuntu 16.04 install cuda 6.5 full
This is full of compatibility issues follow these instructions to install cuda 9.0 and cudnn 7.0 for cuda 9.0 in ubuntu 18.04 LTS (you notice it with ls command) first, for ubuntu 18.04 forget all what is written here Pip3 install torch=1.8.1 no such file or directory issue is due to a typo in the name : # I choose version 1.8.1 because it is stable and compatible with CUDA 11.2 Toolkit and cuDNN 8.1 # install Pytorch (an open source machine learning framework) # Finally, to verify the installation, check Sudo chmod a+r /usr/local/cuda-11.2/lib64/libcudnn * Sudo cp -P cuda/lib64/libcudnn * /usr/local/cuda-11.2/lib64/ Sudo cp -P cuda/include/cudnn.h /usr/local/cuda-11.2/include # copy the following files into the cuda toolkit directory. # For downloading cuDNN v11.2 you have to be regeistered here ĬUDNN_TAR_FILE= "cudnn-11.2-linux-圆4-v8.1.1.33.tgz "
#Ubuntu 16.04 install cuda 6.5 driver
# install nvidia driver with dependenciesĮcho "deb / " | sudo tee /etc/apt//cuda.listĮcho 'export PATH=/usr/local/cuda-11.2/bin:$PATH ' > ~/.bashrcĮcho 'export LD_LIBRARY_PATH=/usr/local/cuda-11.2/lib64:$LD_LIBRARY_PATH ' > ~/.bashrc Sudo add-apt-repository ppa:graphics-drivers/ppa Sudo apt-get install g++ freeglut3-dev build-essential libx11-dev libxmu-dev libxi-dev libglu1-mesa libglu1-mesa-dev
Sudo apt-get autoremove & sudo apt-get autoclean # If you have previous installation remove it first. # to verify your gpu is cuda enable check
#Ubuntu 16.04 install cuda 6.5 download
# download and install the nvidia cuda toolkit and cudnn # verify the system has a cuda-capable gpu
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