Python - tensorflow.math.greater_equal()

Python - tensorflow.math.greater_equal()

The tensorflow.math.greater_equal() function in TensorFlow is used to perform element-wise comparison and return a boolean tensor indicating where corresponding elements in the given tensors are greater than or equal to each other.

Syntax:

tensorflow.math.greater_equal(x, y, name=None)

Parameters:

  • x, y: Tensors that must be of the same type and shape. The tensors to compare.

  • name (optional): A name for the operation (optional).

Returns:

A boolean tensor of the same shape as x and y where each element indicates the result of the comparison between corresponding elements in x and y.

Example:

Let's look at a simple example using tensorflow.math.greater_equal():

import tensorflow as tf # Ensure eager execution is enabled if not tf.executing_eagerly(): tf.enable_eager_execution() # Create two tensors tensor_a = tf.constant([1.0, 2.0, 3.0, 4.0]) tensor_b = tf.constant([1.0, 1.5, 3.5, 4.0]) # Use the greater_equal() function result = tf.math.greater_equal(tensor_a, tensor_b) # Print the result print(result.numpy())

Output:

[ True True False True]

Here, the returned tensor indicates that the first, second, and fourth elements of tensor_a are greater than or equal to the corresponding elements in tensor_b, while the third element is not.

More Tags

ssh-tunnel proxyquire dbsetup ng-packagr spring-boot ionic3 docker-compose seed android-studio-2.2 alembic

More Programming Guides

Other Guides

More Programming Examples