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# 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


Arguments:

Returns:

• Output: The y tensor.

### Constructors and Destructors

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

### Public attributes

operation
Operation
y
::tensorflow::Output

### 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