| #!/usr/bin/env bash | |
| # https://docs.docker.com/install/linux/docker-ce/ubuntu/ | |
| sudo apt-get install apt-transport-https ca-certificates curl software-properties-common | |
| curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add - | |
| sudo add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu xenial stable" | |
| sudo apt-get update | |
| sudo apt-get install docker-ce | |
| # https://docs.docker.com/compose/install/ |
Building Tensorflow from source on Ubuntu 16.04LTS for maximum performance:
TensorFlow is now distributed under an Apache v2 open source license on GitHub.
On Ubuntu 16.04LTS+:
Step 1. Install NVIDIA CUDA:
To use TensorFlow with NVIDIA GPUs, the first step is to install the CUDA Toolkit as shown:
| # The entries in this file are checked regularly for validity via the Github Action | |
| # sited at github.com/bskinn/intersphinx-gist. | |
| # Please feel free to post an issue at that repo if any of these mappings don't work for you, | |
| # or if you're having trouble constructing a mapping for a project not listed here. | |
| Python 3 [latest]: ('https://docs.python.org/3/', None) | |
| Python 3 [3.x]: ('https://docs.python.org/3.9/', None) | |
| attrs [stable]: ('https://www.attrs.org/en/stable/', None) | |
| Django [dev]: ('https://docs.djangoproject.com/en/dev/', 'https://docs.djangoproject.com/en/dev/_objects/') | |
| Flask [2.2.x]: ('https://flask.palletsprojects.com/en/2.2.x/', None) |
| git checkout <branch> | |
| git fetch <other-fork-alias> | |
| git cherry-pick <commit-hash> | |
| git push <your-fork-alias> |