# Tensorflow.js tf.Tensor class .print() Method

Tensorflow.js is an open-source library developed by Google for running machine learning models and deep learning neural networks in the browser or node environment.

The **tf.print() **function is used to Prints information about the tf.Tensor including its data.

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**Syntax:**

tf.print(value, verbose)

**Parameters:**

**value:**The value of the tensor which can be a simple or nested Array or TypedArray of numbers. If the array elements are Strings then they will encode as UTF-8 and kept as Uint8Array[].**verbose:**It is a boolean value to tell whether to print verbose information about the Tensor, including dtype and size and the default value of verbose is False.

The below examples demonstrate the **tf.print() **function:

**Example 1: **In this example, we use the ts.tensor2d to create a tensor, and we are printing using tf.print function using the verbose value as true.

## Javascript

`// Importing the tensorflow.js library` `import * as tf from ` `"@tensorflow/tfjs"` ` ` `// Creating the tensor` `const verbose = ` `true` `;` `var` `val = tf.tensor2d([` `"geeks"` `,` `"for"` `,` `"geeks"` `,` `"website"` `], [2, 2]);` ` ` `// Printing the tensor` `val.print(verbose);` |

**Output:**

Tensor dtype: string rank: 2 shape: [2,2] values: [['geeks', 'for' ], ['geeks', 'website']]

**Example 2: **In this example, we use the ts.tensor2d to create a tensor, and we are printing using tf.print function using the verbose value as false.

## Javascript

`// Importing the tensorflow.js library` `import * as tf from ` `"@tensorflow/tfjs"` ` ` `// Creating the tensor` `const verbose = ` `false` `;` `var` `val = tf.tensor([` `"geeks"` `,` `"for"` `,` `"geeks"` `]);` ` ` `// Printing the tensor` `val.print(verbose);` |

**Output:**

Tensor ['geeks', 'for', 'geeks']

**Reference:**https://js.tensorflow.org/api/latest/#tf.Tensor.print