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:

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

Public attributes
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