Run Tensorflow 2.x on Python 3.7


After installing Python 3.7.x on macOS and pip3 install tensorflow, 2.1 series came in. I was in trouble because the code I found on the net didn't work.

If you set up Python 3.6.x and Tensorflow 1.x, it seems that you can run it with the original source, but I would like to use Tensorflow 2.x because it is a big deal.

How to use Hello Tensorflow with this configuration?

Try Hello Tensorflow without thinking about anything

Then save the common code with a name like and try running it.

import tensorflow as tf
hello = tf.constant('Hello, Hello World!')

sess = tf.Session()

You should see something like this:

$ python3
Traceback (most recent call last):
  File "", line 6, in <module>
    sess = tf.Session()
AttributeError: module 'tensorflow' has no attribute 'Session'

It seems that in Tensorflow 2.x, tf.Session and tf.placeholder are no longer used (see Migrate your TensorFlow 1 code to TensorFlow 2).

Measure 1

There are ways to modify the code as follows: However, it seems that tf.print can be used for output.

import tensorflow as tf
hello = tf.constant('Hello, Hello World!')

#sess = tf.Session()


Measure 2

There is a way to modify the import line as follows: This method also works, but it will not work anymore, so the method of countermeasure 1 seems to be better.

#import tensorflow as tf
import tensorflow.compat.v1 as tf
hello = tf.constant('Hello, Hello World!')

sess = tf.Session()

By the way

Numerical values can be output in the same way.

$ cat

import tensorflow as tf

a = tf.constant(1234)
b = tf.constant(5000)
total = a + b

$ python3.7
2020-02-13 00:34:45.897058: I tensorflow/compiler/xla/service/] XLA service 0x7f9b08d70740 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2020-02-13 00:34:45.897083: I tensorflow/compiler/xla/service/]   StreamExecutor device (0): Host, Default Version

that's all.


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