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())


String Tensor Value: TensorFlow Exercises!


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.

Python Code Editor:

Previous: Convert TensorFlow Tensor data type in Python.

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