How to Print the Value of the Tensor Object in TensorFlow

In this post, we will print the value of the tensor object in TensorFlow.

Print the Value of the Tensor Object in TensorFlow

Google created the open-source library TensorFlow to execute deep-learning neural networks and machine-learning models in a browser or node environment. tf.print is used here to print the information and data of tf.Tensor.

A tensor is an n-dimensional vector or matrix that may represent any data. A tensor’s values all have the same data type and known (or at least partially known) form.

A tensor might start as input data or as calculation output. In machine learning, feature vectors are items used to feed models.

Any data can be a feature vector. Usually, the feature vector serves as the main input while populating a tensor.

To create a tensor, we will use tf.constant here. Let’s see an example.

First, import the required library:

Now let’s create an object of tensor. For that, we have used tf.constant.

See the screenshot below:

Let’s perform some action on the tensor object. We have added the value of the tensor object:

Let’s print the value of the tensor object using tf.print.

In this way, we can create a tensor object and print it.

Screenshot of the full code: