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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


Args:

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
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