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Tensorflow.js tf.cast() Function

  • Last Updated : 12 May, 2021

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.cast() function is used to cast a specified Tensor to a new data type.

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tf.cast (x, dtype)

Parameters: This function accepts two parameters which are illustrated below:

  • x: The input tensor which is being casted.
  • dtype: The data type in which input tensor is going to be casted.

Return Value: It returns a casted tensor of new data type.

Example 1:


// Importing the tensorflow.js library
import * as tf from "@tensorflow/tfjs"
// Initializing a tensor of some values
const x = tf.tensor1d([2.3, 1.7, 5, 0, 1, 0.5]);
// Calling the .cast() function over the 
// above tensor to cast in "int32" data type
tf.cast(x, 'int32').print();


   [2, 1, 5, 0, 1, 0]

Example 2:


// Importing the tensorflow.js library
import * as tf from "@tensorflow/tfjs"
// Using a tensor of some values
// as the parameter for .cast() function to
// cast into bool data type
tf.cast(tf.tensor1d([0, 1, -3]), 'bool').print();


   [false, true, true]


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