TensorFlow:1.14.0 Python environment:python2.7
1. Installation of python environment and dependencies
Choose pre-installed python2.7 instead of installing python3.x
sudo apt-get install python-pip python-dev libatlas-base-dev
2. Install TensorFlow
There are several ways to install TensorFlow, but here you may choose the a convenient way to command and installa directly .
Steps: Download the PIP installation package for TensorFlow from the followingtensorflow-1.14.0-cp27-none-linux_aarch64.whl
Using PIP installation:
Use PIP to install tensorflow 1.14.0 - cp27 - none - linux_aarch64. WHL Note that some dependencies may not be downloaded due to network reasons during the installation process. Please download and install the dependencies according to the version shown in the log before installing TensorFlow. vi test.py
import tensorflow as tf hello = tf.constant('Hello, TensorFlow!') #sess = tf.Session() sess = tf.compat.v1.Session() print(sess.run(hello))
Run the test program
root@OrangePi:~# python test.py Hello, TensorFlow!
Note: This time only using python2.7 environment to install TensorFlow, python3.5 and python3.6 are all available, please test by yourself.