Setting up Python, numpy, and PyTorch natively on Apple M1 | Hendrik Erz

The new Apple M1 devices have received quite the attention in the past months. However, data scientists and engineers have been wary of upgrading too …

Abstract: The new Apple M1 devices have received quite the attention in the past months. However, data scientists and engineers have been wary of upgrading too soon, and in my opinion rightfully so. However, it is possible to run a development setup natively on the ARM-architecture. In this post, I describe how. Published on Friday, January 22nd, 2021 by Hendrik | 9 min reading time Table of Contents After I wrote this guide, many many people have relied upon it to set up their data science toolchain on the new M1 MacBooks. Since a few weeks, I have now received more and more emails by people

related reading

• Get Startedpytorch.org
• Making Deep Learning go Brrrr From First Principleshorace.io
• My AI Development Setup (From Scratch)youtube.com
• Python and macOS - davepblog.davep.org
• A friendly introduction to machine learning compilers and optimizershuyenchip.com
• OpenMC installtion Mac Apple M1 chip - User Support - OpenMCopenmc.discourse.group
• Using PyTorch + NumPy? You're making a mistake. · Tanel Pärnamaatanelp.github.io
• PyTorch internals : ezyang's blogblog.ezyang.com
• PiTorch: ML on Baremetal Raspberry Pis | projectsmasonjwang.com
• Installation — Dive into Deep Learning 1.0.3 documentationd2l.ai
• GPT in 60 Lines of NumPy | Jay Modyjaykmody.com
• Compiling ML models to C for fun | Max Bernsteinbernsteinbear.com