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 helps developers to develop ML models in JavaScript, and use ML directly in the browser or in Node.js.
The tf.print() function is used to print information about the tf.tensor along with its data.
Syntax:
tf.print (x, verbose)
Parameter:
- x: The tensor which is to be printed
- verbose: It is an optional argument. These are the boolean parameter which decides whether to print the verbose information about the Tensor, including dtype and size.
Return: It returns nothing i.e, void.
Example 1:
Javascript
// Importing the tensorflow.js library import * as tf from "@tensorflow/tfjs" // Setting the value of verbose const verbose = true; // Creating the tensor var val = tf.tensor2d([8, 2, 5, 6], [2, 2]); // Printing the tensor val.print(verbose) |
Output:
Tensor
dtype: float32
rank: 2
shape: [2,2]
values:
[[8, 2],
[5, 6]]
Example 2:
Javascript
// Importing the tensorflow.js library import * as tf from "@tensorflow/tfjs" // Setting the value of verbose const verbose = false; // Creating the tensor var val = tf.tensor2d([8, 2, 5, 6], [2, 2]); // Printing the tensor val.print(verbose) |
Output:
Tensor
[[8, 2],
[5, 6]]
Reference: https://js.tensorflow.org/api/3.4.0/#print
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