Create and print TensorFlow string tensor in Python

Python TensorFlow Basic: Exercise-16 with Solution

Write a Python program that creates a TensorFlow tensor with a string data type and print its value.

Sample Solution:

Python Code:

import tensorflow as tf

# Create a TensorFlow tensor with a string data type
# Tensors are multi-dimensional arrays with a uniform type (called a dtype ).
string_tensor = tf.constant("TensorFlow Exercises!", dtype=tf.string)

# Print the value of the string tensor
print("String Tensor Value:", string_tensor.numpy().decode())

Output:

String Tensor Value: TensorFlow Exercises!

Explanation:

In the exercise above -

• Import TensorFlow as tf.
• Create a TensorFlow tensor "string_tensor" containing the string "TensorFlow Exercises!" with the specified data type tf.string.
• To print the value of the string tensor, we use .numpy().decode() to convert the tensor to a Python string and then decode it.

Go to:

• TensorFlow Basics Exercises Home ↩
• Python TensorFlow Exercises Home ↩

PREV : Convert TensorFlow Tensor data type in Python.
NEXT : TensorFlow building and training a simple model Exercises Home.

Python Code Editor:

Have another way to solve this solution? Contribute your code (and comments) through Disqus.