Here's my experience of installing the NVIDIA CUDA kit 8.0 on a fresh install of Ubuntu Desktop 16.04.3 LTS.
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sudo hostnamectl set-hostname new-name |
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https://larrylisky.com/2016/11/03/point-cloud-library-on-ubuntu-16-04-lts/ |
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# If you change this file, run 'update-grub' afterwards to update | |
# /boot/grub/grub.cfg. | |
# For full documentation of the options in this file, see: | |
# info -f grub -n 'Simple configuration' | |
GRUB_DEFAULT="1>3" | |
#GRUB_HIDDEN_TIMEOUT=0 | |
GRUB_HIDDEN_TIMEOUT_QUIET=true | |
GRUB_TIMEOUT=3 | |
GRUB_DISTRIBUTOR=`lsb_release -i -s 2> /dev/null || ech |
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# If you change this file, run 'update-grub' afterwards to update | |
# /boot/grub/grub.cfg. | |
# For full documentation of the options in this file, see: | |
# info -f grub -n 'Simple configuration' | |
GRUB_DEFAULT="1>3" | |
#GRUB_HIDDEN_TIMEOUT=0 | |
GRUB_HIDDEN_TIMEOUT_QUIET=true | |
GRUB_TIMEOUT=3 | |
GRUB_DISTRIBUTOR=`lsb_release -i -s 2> /dev/null || ech |
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# If you change this file, run 'update-grub' afterwards to update | |
# /boot/grub/grub.cfg. | |
# For full documentation of the options in this file, see: | |
# info -f grub -n 'Simple configuration' | |
GRUB_DEFAULT="1>3" | |
#GRUB_HIDDEN_TIMEOUT=0 | |
GRUB_HIDDEN_TIMEOUT_QUIET=true | |
GRUB_TIMEOUT=3 | |
GRUB_DISTRIBUTOR=`lsb_release -i -s 2> /dev/null || ech |
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# If you change this file, run 'update-grub' afterwards to update | |
# /boot/grub/grub.cfg. | |
# For full documentation of the options in this file, see: | |
# info -f grub -n 'Simple configuration' | |
GRUB_DEFAULT="1>3" | |
#GRUB_HIDDEN_TIMEOUT=0 | |
GRUB_HIDDEN_TIMEOUT_QUIET=true | |
GRUB_TIMEOUT=3 | |
GRUB_DISTRIBUTOR=`lsb_release -i -s 2> /dev/null || ech |
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#!/bin/bash | |
# MAYAVI SETUP | |
# mayavi is a python library for scientific visualisations, that can handle | |
# visualisation of Lidar Data. But, it can also be used to project Lidar data | |
# to 2D images. | |
# | |
# The set of commands I used to get mayavi set up on my computer so far. | |
# NOTE: I still do not know if it is set up properly, so this set of steps | |
# might be incomplete. |
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conda create --name tensorflow python=3.5 | |
activate tensorflow | |
conda install jupyter | |
conda install scipy | |
pip install tensorflow | |
# or | |
# pip install tensorflow-gpu | |
https://nitishmutha.github.io/tensorflow/2017/01/22/TensorFlow-with-gpu-for-windows.html |
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