This library provides advanced profiling support. Step 10: The libcupti-dev library, which is the NVIDIA CUDA Profile Tools Interface.
# Use OpenCV and other custom-built libraries.Įxport LD_LIBRARY_PATH=/usr/local/lib/:$LD_LIBRARY_PATH Post Installation step (path setting append in the file) gedit ~/.bashrc #(Append below lines without dashes)Įxport LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH sudo dpkg -i cuda-repo-ubuntu-local-cublas-performance-update-3_1.0-1_bħ. sudo dpkg -i cuda-repo-ubuntu-local-cublas-performance-update-2_1.0-1_bĦ. That took me a few frustrating minutes to figure out. Note that the above driver name is nvidia-driver-410 on ubuntu 18.04 but just nvidia-410 on 16.04. sudo dpkg -i cuda-repo-ubuntu-local-cublas-performance-update_1.0-1_bĥ. sudo add-apt-repository ppa:graphics-drivers/ppa.
INSTALL CUDA 9 ON UBUNTU 16.04 INSTALL
Step 9: Follow CUDA installation steps and install CUDA 9.0 Select appropriate settings for your machine as shown and in installer type select deb (local)ĭownload All Base Installer and Patch’s setup as shown Step 8: Download CUDA 9.0 Toolkit latest from check in Legacy Release if its old ( ) Step 7: Create a file and paste the following lines sudo gedit /etc/modprobe.d/nf (Paste Following without dash line and save changes) Step 6: Install latest nvidia drivers from package manager (use synaptic to see version) sudo apt-get install nvidia-384 Step 5: Update Repository list sudo apt-get update Step 4: Add Repository of Graphics Drivers sudo add-apt-repository ppa:graphics-drivers/ppa Sudo apt-get -purge -y remove 'libcupti* sudo dpkg -l | grep cuda- | awk '' | xargs -n1 sudo dpkg -purge Step 3: Remove old nvidia drivers and cuda setup sudo apt autoremove cuda sudo apt-get -purge -y remove 'cuda*' Step 2: Install Linux Headers (for installing aptitude “sudo apt install aptitude”) sudo aptitude -r install linux-headers-$(uname -r) Step 1: Update and upgrade your system sudo apt-get update & sudo apt-get upgrade -y
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