Tensorflow.js tf.Tensor class .array() 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. It also helps the developers to develop ML models in JavaScript language and can use ML directly in the browser or in Node.js.
The .array() method is used to return the tensor input like a nested array. Moreover, the relocation of data is made asynchronously.
Syntax:
array()
Parameters: This method does not hold any parameters.
Return Value: It returns the promise of number[].
Example 1:
Javascript
// Importing tensorflow library import * as tf from "@tensorflow/tfjs" // Creating a tensor const tn = tf.tensor([5, 6, 3, 4]); // Calling array() method const res = await tn.array(); // Printing output console.log(res) |
Output:
5,6,3,4
Example 2:
Javascript
// Importing tensorflow library import * as tf from "@tensorflow/tfjs" // Calling array() method and // Printing output console.log(await tf.tensor2d([1.7, 3.7, 9.7, null], [4, 1]).array()); |
Output:
1.7000000476837158,3.700000047683716,9.699999809265137,0
Reference: https://js.tensorflow.org/api/latest/#tf.Tensor.array
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