yakinrubaiat/tensorflow-on-raspberry-pi3

TensorFlow for Raspberry Pi 3b

Install Tensorflow on raspberry pi 3

Thanks for contribution : @gunjan3310 ,zulfikar ali zehan

Today i am going to show you how to install tensorflow on raspberry pi 3b :

My System details :

$ sudo cat /proc/cpuinfo

Operating system: Noobs.

processor : 0

model name : ARMv7 Processor rev 4 (v7l)

BogoMIPS : 38.40

Features : half thumb fastmult vfp edsp neon vfpv3 tls vfpv4 idiva idivt vfpd32 lpae evtstrm crc32

CPU implementer : 0x41

CPU architecture: 7

CPU variant : 0x0

CPU part : 0xd03

CPU revision : 4

processor : 1

model name : ARMv7 Processor rev 4 (v7l)

BogoMIPS : 38.40

Features : half thumb fastmult vfp edsp neon vfpv3 tls vfpv4 idiva idivt vfpd32 lpae evtstrm crc32

CPU implementer : 0x41

CPU architecture: 7

CPU variant : 0x0

CPU part : 0xd03

CPU revision : 4

processor : 2

model name : ARMv7 Processor rev 4 (v7l)

BogoMIPS : 38.40

Features : half thumb fastmult vfp edsp neon vfpv3 tls vfpv4 idiva idivt vfpd32 lpae evtstrm crc32

CPU implementer : 0x41

CPU architecture: 7

CPU variant : 0x0

CPU part : 0xd03

CPU revision : 4

processor : 3

model name : ARMv7 Processor rev 4 (v7l)

BogoMIPS : 38.40

Features : half thumb fastmult vfp edsp neon vfpv3 tls vfpv4 idiva idivt vfpd32 lpae evtstrm crc32

CPU implementer : 0x41

CPU architecture: 7

CPU variant : 0x0

CPU part : 0xd03

CPU revision : 4

Hardware : BCM2709

Revision : a22082

Serial : 00000000c120845a

If you want to install lower version of tensorflow(v 0.9.0):

Follow this :

https://medium.com/@paroskwan/layman-installation-guide-for-keras-and-tensorflow-on-rpi-3-38b84f3e59dc

$ sudo easy_install pip3
$ sudo easy_install --upgrade six

For python 2 :

$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/tensorflow-0.9.0-py2-none-any.whl
$ sudo pip install --upgrade $TF_BINARY_URL

For Python 3:

$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/tensorflow-0.9.0-py3-none-any.whl
$ sudo pip3 install --upgrade $TF_BINARY_URL

if this doesn't work

$install brew
$brew install python
$export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/tensorflow-0.9.0-py2-none-any.whl
$sudo pip install --upgrade $TF_BINARY_URL

If you want to install tensorflow(v 1.1.0) :

Follow this :

https://github.com/samjabrahams/tensorflow-on-raspberry-pi

If you want to install higher version tensorflow( version >= v1.2):

First we install python lastest version on pi from:

http://bohdan-danishevsky.blogspot.com/2017/01/building-python-360-on-raspberry-pi-3.html

Then use project nightly-pi-python3.

Download lastest tensorflow from here:

http://ci.tensorflow.org/view/Nightly/job/nightly-pi-python3/

You can find different version here :

https://github.com/lhelontra/tensorflow-on-arm/releases

After that run command :

$sudo pip3 install tensorflow-1.6.0rc1-cp36-none-any.whl

Common error :

tensorflow-1.6.0rc1-cp36-none-any.whl is not a supported wheel on this platform.

Then cheak your python version by press python3, if your version is like 3.5, Change the file name like that: tensorflow-1.6.0rc1-cp35-none-any.whl

                                                                     ^^                                            	

Then run a simple tensorflow program like this :

    $python3 
    import tensorflow as tf
    hello = tf.constant('Hello, TensorFlow!')
    sess = tf.Session()							
    print(sess.run(hello))

Output : Hello, TensorFlow!

Cheak the version by this :

$ python3 -c 'import tensorflow as tf; print(tf.__version__)'

Reference :

     https://gist.github.com/elBradford/5e0c999b6d2ab8fcf5331c5ac177a486
			 
     https://github.com/samjabrahams/tensorflow-on-raspberry-pi/issues/104
			 
     https://nikhilraghava.wordpress.com/2017/08/05/installing-keras-on-raspberry-pi-3/
			 
     https://github.com/tensorflow/tensorflow/issues/5478
			 
     https://github.com/samjabrahams/tensorflow-on-raspberry-pi/releases/
			 
     https://www.tensorflow.org/install/install_linux
			 
     https://codelabs.developers.google.com/codelabs/tensorflow-for-poets/