# tensorflow:: ops:: Exp

#include <math_ops.h>

Computes exponential of x element-wise.

## Summary

$$y = e^x$$.

This function computes the exponential of every element in the input tensor. i.e. exp(x) or e^(x) , where x is the input tensor. e denotes Euler's number and is approximately equal to 2.718281. Output is positive for any real input.

x = tf.constant(2.0)
tf.math.exp(x) ==> 7.389056

x = tf.constant([2.0, 8.0])
tf.math.exp(x) ==> array([7.389056, 2980.958], dtype=float32)

For complex numbers, the exponential value is calculated as follows:

e^(x+iy) = e^x * e^iy = e^x * (cos y + i sin y)

Let's consider complex number 1+1j as an example. e^1 * (cos 1 + i sin 1) = 2.7182818284590 * (0.54030230586+0.8414709848j)

x = tf.constant(1 + 1j)
tf.math.exp(x) ==> 1.4686939399158851+2.2873552871788423j

Args:

Returns:

### Constructors and Destructors

Exp (const :: tensorflow::Scope & scope, :: tensorflow::Input x)

operation
y

### Public functions

node () const
::tensorflow::Node *
operator::tensorflow::Input () const
operator::tensorflow::Output () const

## Public attributes

### operation

Operation operation

### y

::tensorflow::Output y

## Public functions

### Exp

Exp(
const ::tensorflow::Scope & scope,
::tensorflow::Input x
)

### node

::tensorflow::Node * node() const

### operator::tensorflow::Input

operator::tensorflow::Input() const

### operator::tensorflow::Output

operator::tensorflow::Output() const
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{"lastModified": "Last updated 2021-05-14 UTC."}