tensorflow::ops::Expm1

#include <math_ops.h>

Computes exp(x) - 1 element-wise.

Summary

i.e. exp(x) - 1 or e^(x) - 1, where x is the input tensor. e denotes Euler's number and is approximately equal to 2.718281.

x = tf.constant(2.0)
tf.math.expm1(x) ==> 6.389056

x = tf.constant([2.0, 8.0])
tf.math.expm1(x) ==> array([6.389056, 2979.958], dtype=float32)

x = tf.constant(1 + 1j)
tf.math.expm1(x) ==> (0.46869393991588515+2.2873552871788423j)

Arguments:

• scope: A Scope object

Returns:

• Output: The y tensor.

Public attributes

Operation operation

::tensorflow::Output y

Public functions

 Expm1(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input x
)

::tensorflow::Node * node() const 

operator::tensorflow::Input() const 

operator::tensorflow::Output() const