Python - tensorflow.math.divide()

The tensorflow.math.divide() function is used to perform element-wise division of two tensors. It takes two arguments, x and y, and returns the element-wise division of x by y.

Syntax:

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

Parameters:

• input: The first tensor x of shape [..., N].
• input: The second tensor y of shape [..., N], or a scalar: y is broadcast to x.

Returns:

The element-wise division of x by y.

Example:

import tensorflow as tf

# Defining tensors
x = tf.constant([8.0, 5.0, 6.0])
y = tf.constant([2.0, 3.0, 2.0])

# Element-wise division
result = tf.math.divide(x, y)

# Printing result
print("Result: ", result)

Output:

Result:  tf.Tensor([4. 1.66666667 3. ], shape=(3,), dtype=float32)

In the above example, we have defined two tensors x and y and performed element-wise division between them using the tensorflow.math.divide() function. The result is stored in the result variable and printed using the print() function.