Difference between revisions of "Nvidia Drivers and CUDA"

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==Installing NVIDIA Driver (Ubuntu 16.04) ==
 +
wget http://us.download.nvidia.com/XFree86/Linux-x86_64/410.57/NVIDIA-Linux-x86_64-410.57.run
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chmod +x NVIDIA-Linux-x86_64–410.57.run
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sudo ./NVIDIA-Linux-x86_64–410.57.run --no-x-check
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 +
 
==Installing CUDA 10.0 on Ubuntu 16.04==
 
==Installing CUDA 10.0 on Ubuntu 16.04==
 
 
'''General Info'''
 
'''General Info'''
  
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  nvcc --version  
 
  nvcc --version  
 
  nvidia-smi
 
  nvidia-smi
 +
*nvidia-settings
  
  
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CUDA 10.0 (10.0.130)                              >= 410.48 driver
 
CUDA 10.0 (10.0.130)                              >= 410.48 driver
  
Avoid CUDA 10.1, it conflicts with tensorflow-gpu
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*Avoid CUDA 10.1!!!  It conflicts with tensorflow-gpu
  
  
'''Installing CUDA 10.0'''
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'''Steps:'''
  
 
'''1. Uninstall  previous versions of CUDA'''
 
'''1. Uninstall  previous versions of CUDA'''
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'''5. Restart the computer'''
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 +
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*Other methods:
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*https://medium.com/better-programming/how-to-install-nvidia-drivers-and-cuda-10-0-for-rtx-2080-ti-gpu-on-ubuntu-16-04-18-04-ce32e4edf1c0
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 +
== Installing cuDNN (for ubuntu 16.04, cuda 10-0) ==
 +
 +
'''1.Download the following:'''
 +
 +
- runtime:
 +
 +
https://developer.nvidia.com/compute/machine-learning/cudnn/secure/7.6.4.38/Production/10.0_20190923/Ubuntu16_04-x64/libcudnn7-dev_7.6.4.38-1%2Bcuda10.0_amd64.deb
 +
 +
- developer
 +
 +
https://developer.nvidia.com/compute/machine-learning/cudnn/secure/7.6.4.38/Production/10.0_20190923/Ubuntu16_04-x64/libcudnn7_7.6.4.38-1%2Bcuda10.0_amd64.deb
 +
 +
- samples
 +
 +
https://developer.nvidia.com/compute/machine-learning/cudnn/secure/7.6.4.38/Production/10.0_20190923/Ubuntu16_04-x64/libcudnn7-doc_7.6.4.38-1%2Bcuda10.0_amd64.deb
 +
 +
'''2. and then, navigate to your <cudnnpath> directory containing cuDNN Debian file.'''
 +
 +
'''3. Install the runtime library, for example:'''
 +
sudo dpkg -i runtimefile.deb
 +
 +
'''4. Install the developer library, for example:'''
 +
sudo dpkg -i devlib.deb
 +
 +
'''5. Install the code samples and the cuDNN Library User Guide, for example:'''
 +
sudo dpkg -i codesamples.deb
  
  
'''5. Restart the computer'''
 
  
 
More info:
 
More info:
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https://developer.nvidia.com/cuda-downloads?target_os=Linux&target_arch=x86_64&target_distro=Ubuntu&target_version=1604&target_type=deblocal
 
https://developer.nvidia.com/cuda-downloads?target_os=Linux&target_arch=x86_64&target_distro=Ubuntu&target_version=1604&target_type=deblocal
  
== Installing cuDNN (for ubuntu 16.04, cuda 10-0) ==
+
==Installing CUDA 9.0 on Ubuntu 16.04 (Old! Using 10.0, Nov 2019) ==
 +
 
 +
*wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/cuda-repo-ubuntu1604_9.0.176-1_amd64.deb
 +
*wget http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64/libcudnn7_7.0.5.15-1+cuda9.0_amd64.deb
 +
*wget http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64/libcudnn7-dev_7.0.5.15-1+cuda9.0_amd64.deb
 +
*wget http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64/libnccl2_2.1.4-1+cuda9.0_amd64.deb
 +
*wget http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64/libnccl-dev_2.1.4-1+cuda9.0_amd64.deb
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*sudo dpkg -i cuda-repo-ubuntu1604_9.0.176-1_amd64.deb
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*sudo dpkg -i libcudnn7_7.0.5.15-1+cuda9.0_amd64.deb
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*sudo dpkg -i libcudnn7-dev_7.0.5.15-1+cuda9.0_amd64.deb
 +
*sudo dpkg -i libnccl2_2.1.4-1+cuda9.0_amd64.deb
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*sudo dpkg -i libnccl-dev_2.1.4-1+cuda9.0_amd64.deb
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*sudo apt-get update
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*sudo apt-get install cuda=9.0.176-1
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*sudo apt-get install libcudnn7-dev
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*sudo apt-get install libnccl-dev
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*sudo reboot now
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*export PATH=/usr/local/cuda-9.0/bin${PATH:+:${PATH}}
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*export LD_LIBRARY_PATH=/usr/local/cuda-9.0/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}
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*sudo nano .bashrc
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*Add the two last export lines at the end of the file. Save and reboot.
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 +
'''Resources used:'''
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*https://askubuntu.com/questions/61396/how-do-i-install-the-nvidia-drivers
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*https://medium.com/@bbloks/a-machine-learning-environment-with-ubuntu-and-gpu-acceleration-in-5-steps-765608325356
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*https://yangcha.github.io/CUDA90/
  
        Download the:
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*==Installing nvidia drivers on Ubuntu 16.04 (deprecated!) ==
            - runtime
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*Set Ubuntu to boot on console mode. Type:
            https://developer.nvidia.com/compute/machine-learning/cudnn/secure/7.6.4.38/Production/10.0_20190923/Ubuntu16_04-x64/libcudnn7-dev_7.6.4.38-1%2Bcuda10.0_amd64.deb
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*sudo apt-get install systemd
    - developer
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*sudo systemctl set-default multi-user.target
https://developer.nvidia.com/compute/machine-learning/cudnn/secure/7.6.4.38/Production/10.0_20190923/Ubuntu16_04-x64/libcudnn7_7.6.4.38-1%2Bcuda10.0_amd64.deb
+
*sudo reboot now
    - samples
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*Login and in console mode, type:
https://developer.nvidia.com/compute/machine-learning/cudnn/secure/7.6.4.38/Production/10.0_20190923/Ubuntu16_04-x64/libcudnn7-doc_7.6.4.38-1%2Bcuda10.0_amd64.deb
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*sudo add-apt-repository ppa:graphics-drivers/ppa
and then:
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*sudo apt update
   
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*sudo apt upgrade
Navigate to your <cudnnpath> directory containing cuDNN Debian file.
+
*For GeForce 1070Ti (07/2018), type:
Install the runtime library, for example:
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*sudo apt-get install nvidia-390
sudo dpkg -i runtimefile.deb
+
*Re-set Ubuntu to boot on graphical mode. Type:
Install the developer library, for example:
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*sudo systemctl set-default graphical.target
sudo dpkg -i devlib.deb
+
*sudo reboot now
Install the code samples and the cuDNN Library User Guide, for example:
 
sudo dpkg -i codesamples.deb
 

Revision as of 22:49, 27 November 2019

Installing NVIDIA Driver (Ubuntu 16.04)

wget http://us.download.nvidia.com/XFree86/Linux-x86_64/410.57/NVIDIA-Linux-x86_64-410.57.run
chmod +x NVIDIA-Linux-x86_64–410.57.run
sudo ./NVIDIA-Linux-x86_64–410.57.run --no-x-check


Installing CUDA 10.0 on Ubuntu 16.04

General Info

check nvidia drivers and cuda version:

nvcc --version 
nvidia-smi
  • nvidia-settings


Download the latest version of CUDA which is compatible with your version of drivers installed. For example, if you have installed a driver of 410 version, CUDA 10 can be installed, for 375 CUDA 8 should be installed. CUDA 10.0 (10.0.130) >= 410.48 driver

  • Avoid CUDA 10.1!!! It conflicts with tensorflow-gpu


Steps:

1. Uninstall previous versions of CUDA

sudo apt-get --purge remove cuda-10.1
sudo apt-get remove nvidia-cuda-toolkit

2. Then install:

sudo dpkg -i cuda-repo-ubuntu1604-10-0-local-10.0.130-410.48_1.0-1_amd64.deb
sudo apt-key add /var/cuda-repo-10-0-local-10.0.130-410.48/7fa2af80.pub
sudo apt-get update
sudo apt-get install cuda-10-0


Steps and installation file downloaded from here: https://developer.nvidia.com/cuda-10.0-download-archive?target_os=Linux&target_arch=x86_64&target_distro=Ubuntu&target_version=1604&target_type=deblocal

3. Specify your cuda path (cuda 10.0 example)

sudo nano /home/interactionstation/.bashrc

locate the two lines regarding cuda9 (in case it was previously installed), comment them out and include instead:

export PATH=/usr/local/cuda-10.0/bin:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda-10.0/lib64:$LD_LIBRARY_PATH

4. Save the file


5. Restart the computer


Installing cuDNN (for ubuntu 16.04, cuda 10-0)

1.Download the following:

- runtime:

https://developer.nvidia.com/compute/machine-learning/cudnn/secure/7.6.4.38/Production/10.0_20190923/Ubuntu16_04-x64/libcudnn7-dev_7.6.4.38-1%2Bcuda10.0_amd64.deb

- developer

https://developer.nvidia.com/compute/machine-learning/cudnn/secure/7.6.4.38/Production/10.0_20190923/Ubuntu16_04-x64/libcudnn7_7.6.4.38-1%2Bcuda10.0_amd64.deb

- samples

https://developer.nvidia.com/compute/machine-learning/cudnn/secure/7.6.4.38/Production/10.0_20190923/Ubuntu16_04-x64/libcudnn7-doc_7.6.4.38-1%2Bcuda10.0_amd64.deb

2. and then, navigate to your <cudnnpath> directory containing cuDNN Debian file.

3. Install the runtime library, for example:

sudo dpkg -i runtimefile.deb

4. Install the developer library, for example:

sudo dpkg -i devlib.deb

5. Install the code samples and the cuDNN Library User Guide, for example:

sudo dpkg -i codesamples.deb


More info: https://medium.com/@muskulpesent/install-cuda-on-ubuntu-16-04-67ec087f8561 https://developer.nvidia.com/cuda-downloads?target_os=Linux&target_arch=x86_64&target_distro=Ubuntu&target_version=1604&target_type=deblocal

Installing CUDA 9.0 on Ubuntu 16.04 (Old! Using 10.0, Nov 2019)

Resources used:

  • ==Installing nvidia drivers on Ubuntu 16.04 (deprecated!) ==
  • Set Ubuntu to boot on console mode. Type:
  • sudo apt-get install systemd
  • sudo systemctl set-default multi-user.target
  • sudo reboot now
  • Login and in console mode, type:
  • sudo add-apt-repository ppa:graphics-drivers/ppa
  • sudo apt update
  • sudo apt upgrade
  • For GeForce 1070Ti (07/2018), type:
  • sudo apt-get install nvidia-390
  • Re-set Ubuntu to boot on graphical mode. Type:
  • sudo systemctl set-default graphical.target
  • sudo reboot now