Tensorflow installation on Odroid-HC1

Hardkernel.com has very powerful board for HomeNAS solution:

Key features
* Samsung Exynos5422 Cortex-A15 2Ghz and Cortex-A7 Octa core CPUs
* 2Gbyte LPDDR3 RAM PoP stacked
* SATA-3 port for 2.5inch HDD/SSD storage up to 15mm thickness
* Gigabit Ethernet port

Also it shows good performance copmaring with other boards (RPi)

(information from official site https://www.hardkernel.com/shop/odroid-hc1-home-cloud-one/)

It’s very interesting to check Tensorflow performance on this board. Main question — how to install it on the board — TF has not official support for Odroid.

Lets start.

1. Install Bare OS — Ubuntu 16.04.3 from official site https://wiki.odroid.com/odroid-xu4/os_images/linux/ubuntu_4.14/ubuntu_4.14
2. Download. Prepare SD card (8–16Gb). Write image to SD (Win32Disk or Etcher)
3. Insert SD to Board. Plug power with proper Power supply adapter (5v, 2,5Amps minimum for start — 4Amps must have for TF hard computation) and Router internet cable.
4. After proper system start blu led will be flashing twice with about 1Hz frequency.
5. Check DHCP router address. Use SSH to connect to Board with this address.
6. login: root pass: odroid
7. create odroid — new user
   $sudo useradd odroid
   $sudo passwd odroid
   $sudo mkdir /home/odroid
   $sudo chown odroid /home/odroid
   $sudo chgrp odroid /home/odroid
8. grant sudo privileges
   $visudo
   add after string
   root ALL=ALL(ALL:ALL) ALL
   odroid ALL=ALL(ALL:ALL) ALL
9. $sudo apt-get upgdate
   $sudo apt-get-upgrade

10. install pip3 for TF installation.

$sudo apt-get install python3-pip
check pip3 — if some problem occured reinstall it with

$sudo python3 -m pip uninstall pip && sudo apt install python3-pip — reinstall

11. start TF installation (it will be simple :))

first install all dependencies for TF

$sudo apt-get install openjdk-8-jdk automake autoconf

$sudo apt-get install curl zip unzip libtool swig libpng12-dev pkg-config git zip g++ unzip wget xz-utils

$sudo -H pip3 install — upgrade pip
before start pip3 check
$sudo nano /usr/bin/pip3

You can see:

import sys
from pip import main
if __name__ == ‘__main__’:
sys.exit(main())

Change to:

import sys
from pip import __main__
if __name__ == ‘__main__’:
sys.exit(__main__._main())

after check pip3 it can run without mistakes

get wheel:

$wget https://github.com/lhelontra/tensorflow-on-arm/releases/download/v1.12.0/tensorflow-1.12.0-cp35-none-linux_armv7l.whl

$sudo pip3 install tensorflow-1.12.0-cp35-none-linux_armv7l.whl

during installation iit will be mistake with h5py

to fix it need to install h5py

$sudo apt-get install python3-h5py

after that start installation of tensorflow again

$sudo pip3 install tensorflow-1.12.0-cp35-none-linux_armv7l.whl

tersorflow installed but with first start return

ImportError: /usr/lib/arm-linux-gnueabihf/libstdc++.so.6: version
`GLIBCXX_3.4.22' not found (required by /usr/local/lib/python3.5/dist-packages/tensorflow/python/_pywrap_tensorflow_internal.so)
Failed to load the native TensorFlow runtime.

to fix it try to install

$sudo apt install libstdc++6

check after installation

strings /usr/lib/arm-linux-gnueabihf/libstdc++.so.6 | grep GLIBCXX
have not found GLIBCX_3.4.22

if string GLIBCXX_3.4.22 not existed need to

$sudo add-apt-repository ppa:ubuntu-toolchain-r/test
$sudo apt-get update
$sudo apt-get upgrade

and after that again install

$sudo apt install libstdc++6

after that command

$strings /usr/lib/arm-linux-gnueabihf/libstdc++.so.6 | grep GLIBCXX
returns
GLIBCXX_3.4.20
GLIBCXX_3.4.21
GLIBCXX_3.4.22
GLIBCXX_3.4.23
GLIBCXX_3.4.24
GLIBCXX_3.4.25
GLIBCXX_DEBUG_MESSAGE_LENGTH

Good.

Check tensorflow

$python3

>>import tensorflow