How to install tensorflow for NVIDIA GPU RTX 2070 SUPER on Ubuntu 18.04

xubuntu cuda nvidia-geforce drivers 18.04

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I was able to finally installed Tensorflow in my GeForce RTX 2070 Super with the following installations:

Ubuntu 18.04

CuDNN 7.5

CUDA 10.0

NVIDIA Driver Version 430.50

Then I just did pip3 install --user tensorflow-gpu==1.13.1 using Conda environment.

6,213

Author by

bonie10

Updated on September 18, 2022

Comments

bonie10 over 1 year
I have been trying to install Tensorflow for my new RTX 2070 Super. I have been following the following instructions:

steps

verify the system has a cuda-capable gpu

download and install the nvidia cuda toolkit and cudnn

setup environmental variables

verify the installation

#

If you have previous installation remove it first.
```
sudo apt-get purge nvidia*
sudo apt remove nvidia-*
sudo rm /etc/apt/sources.list.d/cuda*
sudo apt-get autoremove && sudo apt-get autoclean
sudo rm -rf /usr/local/cuda*
```
to verify your gpu is cuda enable check
```
lspci | grep -i nvidia
```
gcc compiler is required for development using the cuda toolkit. to verify the version of gcc install enter
```
gcc --version
```
system update
```
sudo apt-get update
sudo apt-get upgrade
```
install other import packages
```
sudo apt-get install g++ freeglut3-dev build-essential libx11-dev libxmu-dev libxi-dev libglu1-mesa libglu1-mesa-dev
```
first get the PPA repository driver
```
sudo add-apt-repository ppa:graphics-drivers/ppa
sudo apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub
echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 /" | sudo tee /etc/apt/sources.list.d/cuda.list
```
# installing CUDA-10.0
```
sudo apt-get -o Dpkg::Options::="--force-overwrite" install cuda-10-0 cuda-drivers
```
setup your paths
```
echo 'export PATH=/usr/local/cuda-10.0/bin:$PATH' >> ~/.bashrc
echo 'export LD_LIBRARY_PATH=/usr/local/cuda-10.0/lib64:$LD_LIBRARY_PATH' >> ~/.bashrc
source ~/.bashrc
sudo ldconfig
```
install cuDNN v7.5

in order to download cuDNN you have to be regeistered here https://developer.nvidia.com/developer-program/signup

then download cuDNN v7.5 form https://developer.nvidia.com/cudnn
```
CUDNN_TAR_FILE="cudnn-10.0-linux-x64-v7.5.0.56"
wget https://developer.nvidia.com/compute/machine-learning/cudnn/secure/v7.5.0.56/prod/10.0_20190219/cudnn-10.0-linux-x64-v7.5.0.56.tgz
tar -xzvf ${CUDNN_TAR_FILE}
```
copy the following files into the cuda toolkit directory.
```
sudo cp -P cuda/include/cudnn.h /usr/local/cuda-10.0/include
sudo cp -P cuda/lib64/libcudnn* /usr/local/cuda-10.0/lib64/
sudo chmod a+r /usr/local/cuda-10.0/lib64/libcudnn*
```
Finally, to verify the installation, check
```
nvidia-smi
nvcc -V
```
install Tensorflow (an open source machine learning framework)

I choose version 1.13.1 because it is stable and compatible with CUDA 10.0 Toolkit and cuDNN 7.5

pip3 install --user tensorflow-gpu==1.13.1

However, when when I type nvidia-smi I get the following: Failed to initialize NVML: Driver/library version mismatch

I also tried to download the latest NVIDIA driver (440.35) but I had no success running the .run file. It kept giving me a message saying "The distribution-provided pre-install script failed!"

Any help would be greatly appreciated!