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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:

Returns:

Constructors and Destructors

Expm1(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

Expm1

 Expm1(
  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