exp

The ‘af.exp()’ function in ArrayFire computes the element-wise exponential of an array. This function calculates the exponential of each element in the input array, using the base of the natural logarithm (e ≈ 2.71828). It is commonly used in scientific computing, machine learning, and numerical analysis where exponential transformations are required.

Function

af.exp()

• Python interface used to compute the exponential of each element in an array.

Detailed Description

The af.exp() function performs the exponential operation on each element of the input array. If 𝑥 is an element in the array, then exp⁡(𝑥) computes 𝑒𝑥, where 𝑒 is the base of the natural logarithm.

This function supports:

• Element-wise Operations: Applying the exponential function to each element of the array independently.

• Broadcasting: Automatically handling arrays of different shapes for operations where applicable.

Function Documentation

af.exp()

Syntax:

af.exp(array)

Parameters:

‘array’: An ArrayFire array (1D, 2D, or higher-dimensional) for which the exponential is to be computed.

Returns:

An ArrayFire array with the same shape as the input array, where each element is the exponential of the corresponding element in the input array.