Ricardo Noriega oglok

Raspberry Pi 5 - Google Coral Edge M.2 TPU installation guide

To get started with either the Mini PCIe or M.2 Accelerator, all you need to do is connect the card to your system, and then install our PCIe driver, Edge TPU runtime, and the TensorFlow Lite runtime. This page walks you through the setup and shows you how to run an example model.

The setup and operation is the same for both M.2 form-factors, including the M.2 Accelerator with Dual Edge TPU.

Requirements

Raspberry Pi 5 with the following Linux operating system:
Raspberry Pi OS (64-bit) based on Debian 10 or newer

Raspberry Pi 5 - Google Coral Edge M.2 TPU installation guide

To get started with either the Mini PCIe or M.2 Accelerator, all you need to do is connect the card to your system, and then install our PCIe driver, Edge TPU runtime, and the TensorFlow Lite runtime. This page walks you through the setup and shows you how to run an example model.

The setup and operation is the same for both M.2 form-factors, including the M.2 Accelerator with Dual Edge TPU.

Requirements

Raspberry Pi 5 with the following Linux operating system:
Raspberry Pi OS (64-bit) based on Debian 10 or newer

The most recent release from the LTS series: http://openvswitch.org/releases/openvswitch-2.5.4.tar.gz

Instructions:

As the root user let’s install some packages:

yum -y install wget openssl-devel gcc make python-devel openssl-devel kernel-devel graphviz kernel-debug-devel autoconf automake rpm-build redhat-rpm-config libtool python-twisted-core python-zope-interface PyQt4 desktop-file-utils libcap-ng-devel groff checkpolicy selinux-policy-devel

Add a new user and switch to that user:

	#!/bin/bash

	set -uo pipefail

	expect_pass() {
	rc=$?
	if [[ $rc != 0 ]]
	then
	tput setaf 1
	echo "expected success: $*, got exit code $rc"