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TinyML Cookbook

You're reading from   TinyML Cookbook Combine artificial intelligence and ultra-low-power embedded devices to make the world smarter

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Product type Paperback
Published in Apr 2022
Publisher Packt
ISBN-13 9781801814973
Length 344 pages
Edition 1st Edition
Tools
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Author (1):
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Gian Marco Iodice Gian Marco Iodice
Author Profile Icon Gian Marco Iodice
Gian Marco Iodice
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Table of Contents (10) Chapters Close

Preface 1. Chapter 1: Getting Started with TinyML 2. Chapter 2: Prototyping with Microcontrollers FREE CHAPTER 3. Chapter 3: Building a Weather Station with TensorFlow Lite for Microcontrollers 4. Chapter 4: Voice Controlling LEDs with Edge Impulse 5. Chapter 5: Indoor Scene Classification with TensorFlow Lite for Microcontrollers and the Arduino Nano 6. Chapter 6: Building a Gesture-Based Interface for YouTube Playback 7. Chapter 7: Running a Tiny CIFAR-10 Model on a Virtual Platform with the Zephyr OS 8. Chapter 8: Toward the Next TinyML Generation with microNPU 9. Other Books You May Enjoy

Installing the Arm toolchain and Ethos-U driver stack

TVM generates C code for the target device provided using the TFLite model as input. However, the generated source code needs to be compiled manually to run it on Corstone-300 FVP. Furthermore, the Cortex-M55 CPU needs additional software libraries to drive the computation on the Ethos-U55 microNPU.

In this recipe, we will install the Arm GCC toolchain to cross-compile the code for Arm Cortex-M55 and the remaining software libraries' dependencies required for our application.

Getting ready

In this section, we will give you an overview of the three remaining dependencies for our application: the Arm GCC toolchain, the Ethos-U core driver, and the Ethos-U core platforms.

Corstone-300 FVP is a virtual platform based on Arm Cortex-M55 and needs a dedicated compiler to build the application for this target device. The compiler is commonly called a cross-compiler because the target CPU (for example, Arm Cortex-M55) is...

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