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Save morgangiraud/990cf65dcb27068a4ca6b9db4957acc7 to your computer and use it in GitHub Desktop.
# Remove anything linked to nvidia | |
sudo apt-get remove --purge nvidia* | |
sudo apt-get autoremove | |
# Search for your driver | |
apt search nvidia | |
# Select one driver (the last one is a decent choice) | |
sudo apt install nvidia-370 | |
# Test the driver | |
sudo shutdown -r now | |
nvidia-smi | |
# If it doesn't work, sometimes this is due to a secure boot option of your motherboard, disable it and test again | |
# Install cuda | |
# Get your deb cuda file from https://developer.nvidia.com/cuda-downloads | |
sudo dpkg -i dev.file | |
sudo apt update | |
sudo apt install cuda | |
# Add cuda to your PATH and install the toolkit | |
# Also add them to your .bashrc file | |
export PATH=/usr/local/cuda-9.0/bin${PATH:+:${PATH}} | |
export LD_LIBRARY_PATH=/usr/local/cuda-9.0/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}} | |
export CUDA_HOME=/usr/local/cuda-9.0 | |
nvcc --version | |
# Use the toolkit to check your CUDA capable devices | |
cuda-install-samples-9.0.sh ~/. | |
cd ~/NVIDIA_CUDA-9.0_Samples/1_Utilities/deviceQuery | |
make | |
shutdown -r now | |
# Test cuda | |
cd ~/NVIDIA_CUDA-9.0_Samples/1_Utilities/deviceQuery | |
./deviceQuery | |
# Downloads cudnn deb files from the nvidia website: | |
# https://developer.nvidia.com/rdp/cudnn-download | |
# Install cudnn | |
tar -zxvf cudnn-9.0-linux-x64-v5.1.tgz | |
sudo mv cuda/include/* /usr/local/cuda-9.0/include/. | |
sudo mv cuda/lib64/* /usr/local/cuda-9.0/lib64/. | |
# Reload your shell | |
. ~/.bashrc |
I am unable to install nvidia-370 using the apt search.
Is it ok if I download the drivers specified by the 'Additional Drivers' in the Softwares & Updates. The version specified is nvidia-340.
How to add cuda to PATH and also how to install toolkit? @morgangiraud
# add ppa graphic driver repository
sudo apt-get install software-properties-common
sudo add-apt-repository ppa:graphics-drivers/ppa
sudo apt-get update
# check which version is available
apt list nvidia-*
sudo apt install nvidia-396
Thank you so much! This saved me tons of time!
Hi,
I successfully installed my nvidia driver and cuda 9.1. I also did everything that is needed to install cudnn 7.1. but when I run my code, I face the following error:
/////////////////////////////////////////////////////////////////
'libcudnn (R7) not found in library path.
Please install CuDNN from https://developer.nvidia.com/cuDNN
Then make sure files named as libcudnn.so.7 or libcudnn.7.dylib are placed in
your library load path (for example /usr/local/lib , or manually add a path to LD_LIBRARY_PATH)
Alternatively, set the path to libcudnn.so.7 or libcudnn.7.dylib
to the environment variable CUDNN_PATH and rerun torch.
For example: export CUDNN_PATH = "/usr/local/cuda/lib64/libcudnn.so.7"
/////////////////////////////////////////////////////////////////
My .bashrc file containes:
/////////////////////////////////////////////////////////////////
export PATH=/usr/local/cuda-9.1/bin${PATH:+:${PATH}}
export LD_LIBRARY_PATH=/usr/local/cuda-9.1/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}
export CUDA_HOME=/usr/local/cuda-9.1
/////////////////////////////////////////////////////////////////
and I'm sure that the libcudnn.so.7 file exists in /usr/local/cuda-9.1/lib64
Any solution ?! :(
System Information:
Os: Ubuntu 18.04
Nvidia driver version: 390.48
Today I added this line to .bashrc file:
/////////////////////////////////////////////////////////////////
export CUDNN_PATH=/usr/local/cuda-9.1/lib64/libcudnn.so.7
/////////////////////////////////////////////////////////////////
and the error changed to:
/////////////////////////////////////////////////////////////////
Found Environment variable CUDNN_PATH = /usr/local/cuda-9.1/lib64/libcudnn.so.7/home/mozhdeh/torch/install/bin/luajit: /home/mozhdeh/torch/install/share/lua/5.1/trepl/init.lua:389: /home/mozhdeh/torch/install/share/lua/5.1/trepl/init.lua:389: /home/mozhdeh/torch/install/share/lua/5.1/cudnn/ffi.lua:1743: /usr/local/cuda-9.1/lib64/libcudnn.so.7: cannot open shared object file: No such file or directory
/////////////////////////////////////////////////////////////////
No solution?
Thanks!!!!!