To install tensorflow, you can either install it with pip (or pip3) or with Docker.
Install using pip
# Install using pip (for python3)
pip3 install --user tensorflow-gpu| { | |
| const getNodes = zap => { | |
| let nodes = []; | |
| for (let nodeId in zap.nodes) { | |
| const node = zap.nodes[nodeId]; | |
| nodes.push(node); | |
| } | |
| return nodes; | |
| }; |
| version: '3.0' | |
| services: | |
| mongo: | |
| image: mongo | |
| restart: unless-stopped | |
| ports: | |
| - 27017:27017 | |
| environment: | |
| MONGO_INITDB_ROOT_USERNAME: root |
| " vim-bootstrap | |
| "***************************************************************************** | |
| "" Vim-PLug core | |
| "***************************************************************************** | |
| let vimplug_exists=expand('~/.vim/autoload/plug.vim') | |
| let g:vim_bootstrap_langs = "c,elixir,elm,erlang,go,haskell,html,javascript,lisp,lua,ocaml,perl,php,python,rust,scala,typescript" | |
| let g:vim_bootstrap_editor = "vim" " nvim or vim |
| $ sudo docker run --net=host --env="DISPLAY" --volume="$HOME/.Xauthority:/root/.Xauthority:rw" gui-app |
| #!/bin/bash | |
| # Requires: notify-send and screen | |
| # Change `wlp3s0` to your internet gateway interface name | |
| screen -d -m bash -c 'ping -I wlp3s0 8.8.8.8 | grep -o -m 1 "bytes from" | xargs -I {} notify-send "Internet is back"' |
| /* Providers */ | |
| provider "aws" { | |
| region = "us-west-2" | |
| } | |
| /* Variables */ | |
| variable "name" { | |
| default = "XXXXX" |
| #!/bin/bash | |
| sudo apt purge nvidia* | |
| sudo apt autoremove | |
| sudo dpkg -i cuda-repo-ubuntu1804-10-1-local-10.1.105-418.39_1.0-1_amd64.deb | |
| sudo apt-key add /var/cuda-repo-<version>/7fa2af80.pub # replace <version> with the correct one | |
| sudo apt update | |
| sudo apt install cuda | |
| sudo apt install nvidia-cuda-toolkit |