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 tf.split() function is used to split a tf.tensors into sub tensors.
Syntax:
tf.split (x, numOrSizeSplits, axis?)
Parameters:
- x: The input tensor to split.
- numOrSizeSplits: It can be a number indicating the number of splits or can be the array in which sizes are provided for each output tensor
- axis: It is an axis of the dimension along which to split.
Return Value: It returns tf.Tensor[].
Example 1:
Javascript
// Importing the tensorflow.js library import * as tf from "@tensorflow/tfjs" const x = tf.tensor2d([10, 20, 50, 60, 30, 40, 70, 80], [2, 4]); // Split the tensor const [gfg, neveropen] = tf.split(x, 2, 1); gfg.print(); neveropen.print(); |
Output:
Tensor
[[10, 20],
[30, 40]]
Tensor
[[50, 60],
[70, 80]]
Example 2: In this example, making the split with axis as the 2nd parameter as an array.
Javascript
const x = tf.tensor2d([10, 30, 50, 70, 20, 40, 60, 80], [2, 4]); const [gfg, gfg1, neveropen] = tf.split(x, [1, 2, 1], 1); gfg.print(); gfg1.print(); neveropen.print(); |
Output:
Tensor
[[10],
[20]]
Tensor
[[30, 50],
[40, 60]]
Tensor
[[70],
[80]]
Reference: https://js.tensorflow.org/api/latest/#split
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