Create Constant Tensors for Feeding in TensorFlow 2

In order to feed to tf.Session.run(feed_dict={...}), just array or numpy array should adequate, but a tensor is needed to call model @tf.function. The following code shows how to create constant tensors; there are 2 methods to do so.

Example code:

%tensorflow_version 2.x
%reset -f

#libs
import tensorflow as tf;
from tensorflow.keras.layers import *;

#code
T1 = tf.constant         ([1,2,3], tf.float32);
T2 = tf.convert_to_tensor([1,2,3], tf.float32);
print(T1);
print(T2);
#eof