Skip to content

Instantly share code, notes, and snippets.

View dwSun's full-sized avatar
💭
I may be too lazy to respond.

孙德伟 dwSun

💭
I may be too lazy to respond.
View GitHub Profile
@roadrunner2
roadrunner2 / 0 Linux-On-MBP-Late-2016.md
Last active February 29, 2024 16:29
Linux on MacBook Pro Late 2016 and Mid 2017 (with Touchbar)

Introduction

This is about documenting getting Linux running on the late 2016 and mid 2017 MPB's; the focus is mostly on the MacBookPro13,3 and MacBookPro14,3 (15inch models), but I try to make it relevant and provide information for MacBookPro13,1, MacBookPro13,2, MacBookPro14,1, and MacBookPro14,2 (13inch models) too. I'm currently using Fedora 27, but most the things should be valid for other recent distros even if the details differ. The kernel version is 4.14.x (after latest update).

The state of linux on the MBP (with particular focus on MacBookPro13,2) is also being tracked on https://github.com/Dunedan/mbp-2016-linux . And for Ubuntu users there are a couple tutorials (here and here) focused on that distro and the MacBook.

Note: For those who have followed these instructions ealier, and in particular for those who have had problems with the custom DSDT, modifying the DSDT is not necessary anymore - se

@Brainiarc7
Brainiarc7 / build-tensorflow-from-source.md
Last active July 29, 2023 21:28
Build Tensorflow from source, for better performance on Ubuntu.

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: