Install latest nvidia drivers gpu on ubuntu 16.04

INSTALL LATEST NVIDIA DRIVERS GPU ON UBUNTU 16.04 INSTALL

Move the extracted cuda folder to the place you choose.ДЄdd this directory to the $LD_LIBRARY_PATH environment variable.

This method is proposed in this answer on StackOverflow and is explained in the official NVIDIA installation instructions.

INSTALL LATEST NVIDIA DRIVERS GPU ON UBUNTU 16.04 INSTALL

If you do not have admin rights, or you want to have different cuDNN versions on your machine, you can install cuDNN to any folder of your choice, and then set the paths correctly. Sudo chmod a+r /usr/local/cuda/include/cudnn.h /usr/local/cuda/lib64/libcudnn*ДЄnd that's already it. Sudo cp cuda/lib64/libcudnn* /usr/local/cuda/lib64 You will need sudo rights for this! sudo cp cuda/include/cudnn.h /usr/local/cuda/include Move the downloaded files to /usr/local/cuda. This will create a new folder called cuda, which contains two subfolders include and lib64, containing all cuDNN files. Note: this is just an example, check the file name before calling this. Open a terminal, navigate to the folder where you downloaded cuDNN, and call tar xvzf cudnn-8.0-linux-ењ† For TensorFlow r1.1, that would be cuDNN v5.1 for CUDA 8.0. The instructions are taken from the TensorFlow documentation: That way, cuDNN can be used by all users on that machine. Here, cuDNN is installed into the folder /usr/local/cuda. This is the way that the official TensorFlow documentation describes. To run TensorFlow, you have to install cuDNN. Updates (Conflicting Directory Structure) Itried to rename that path but still could not work? I have feeling that it is trying to open CUDA library in the path /usr/local/cuda-8.0.61/lib64 when infact there are paths of /usr/local/cuda-8.0/lib64 and /usr/local/cuda/lib64. I have added following screen shot that shows various library path in my local directories. What does the above output mean? does it mean that Tensorflow will correctly run on my Nvidia GPU enabled system or do I need to do something else? I tensorflow/stream_executor/dso_:108] successfully opened CUDA library libcurand.so locally I tensorflow/stream_executor/dso_:108] successfully opened CUDA library libcuda.so.1 locally I tensorflow/stream_executor/dso_:108] successfully opened CUDA library libcufft.so locally I tensorflow/stream_executor/cuda/cuda_dnn.cc:2259] Unable to load cuDNN DSO I tensorflow/stream_executor/dso_:102] Couldn't open CUDA library libcudnn.so. I tensorflow/stream_executor/dso_:108] successfully opened CUDA library libcublas.so locally Type 'help', 'copyright', 'credits' or 'license' for more information.ДЄnaconda is brought to you by Continuum Analytics.

I am installing latest Tensorflow library in my ubuntu 16.04 machine.ДЇor this I downloaded and Installed Latest Cuda toolkits and Cuda nn libraries.ДЄfter Installation I checked it out using following commands.

Install latest nvidia drivers gpu on ubuntu 16.04