Tensorflow.js tf.whereAsync() Function
Last Updated :
18 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.whereAsync() function is used to return the 2-D tensor of coordinates of true elements for the specified condition. In the returned tensor, 1st dimension i.e. rows specifies the number of true elements, and the 2nd dimension i.e. columns specifies the co-ordinates of the true elements i.e. the output tensor is having the shape of [numTrueElems, condition.rank].
Note: The shape of the returned tensor depends on the true values present in the input.
Syntax:
tf.whereAsync (condition)
Parameters: This function accepts a parameter which is illustrated below:
- condition: The input condition is array of Boolean values.
Return Value: It returns the 2-D tensor of coordinates of true elements for the specified condition.
Example 1:
Javascript
import * as tf from "@tensorflow/tfjs"
const cond = tf.tensor1d([ false , true , true , false , true ], 'bool' );
const result = await tf.whereAsync(cond);
result.print();
|
Output:
Tensor
[[1],
[2],
[4]]
Example 2:
Javascript
import * as tf from "@tensorflow/tfjs"
const result = await tf.whereAsync(tf.tensor1d(
[ true , false , true , true , false ], 'bool' ));
result.print();
|
Output:
Tensor
[[0],
[2],
[3]]
Reference:https://js.tensorflow.org/api/1.0.0/#whereAsync
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