Ricardo Noriega De Soto 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

Namespace

apiVersion: v1
kind: Namespace
metadata:
  creationTimestamp: null
  name: openshift-cnv
spec: {}
status: {}

	FROM quay.io/centos-bootc/fedora-bootc:eln

	COPY rpmbuild/RPMS/x86_64/flightctl-agent-0.0.1-1.el9.x86_64.rpm /tmp/

	COPY flightctl_rsa.pub /usr/etc-system/root.keys
	RUN touch /etc/ssh/sshd_config.d/30-auth-system.conf; \
	mkdir -p /usr/etc-system/; \
	echo 'AuthorizedKeysFile /usr/etc-system/%u.keys' >> /etc/ssh/sshd_config.d/30-auth-system.conf; \
	chmod 0600 /usr/etc-system/root.keys
	VOLUME /var/roothome

	QUAY_USER=oglok
	cd microshift

	./scripts/image-builder/configure.sh

	# Remove the call to cleanup script from build.sh

	./scripts/image-builder/build.sh -pull_secret_file /etc/crio/openshift-pull-secret -ostree_server_name 192.168.122.1:8080

	#!/bin/bash

	set -uo pipefail

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

	First of all remove CRIO (if installed) and install Containerd:

	sudo dnf remove crio
	sudo dnf install containerd
	sudo mkdir -p /etc/containerd
	containerd config default \| sudo tee /etc/containerd/config.toml
	sudo systemctl restart containerd
	sudo systemctl status containerd

	Install CNI plugins:

	# First we have to use the library to generate data sets. NOTE: it's all based on the default examples.

	root@4bf328b1096a:/app# python examples/generate_data.py -n 2 -d nursery -pp 200
	Using TensorFlow backend.
	Finished! :) Data saved in examples/data/nursery/random

	# Once data is generated, we need the config files (YAML) for aggregator and N number of parties

	root@4bf328b1096a:/app# python examples/generate_configs.py -n 2 -f id3_dt -d nursery -p examples/data/nursery/random/
	Using TensorFlow backend.

	SCTP] sctp_bindx SCTP_BINDX_ADD_ADDR socket bound to : 10.128.0.41
	[SCTP] Converted ipv4 address 10.130.0.26 to network type
	[SCTP] connectx assoc_id 5 in progress..., used 1 addresses
	[SCTP] Inserted new descriptor for sd 66 in list, nb elements 1, assoc_id 5
	[LIBCONFIG] loader.coding: 2/2 parameters successfully set, (1 to default value)

	%global srcname keylime
	%define name keylime
	%define version 5.0.0
	%define unmangled_version 5.0.0
	%define release 5

	Name: %{name}
	Version: %{version}
	Release: %{release}
	Summary: Open source TPM software for Bootstrapping and Maintaining Trust