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)
Args:
- scope: A Scope object
Returns:
Output
: The y tensor.
Constructors and Destructors |
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Expm1(const ::tensorflow::Scope & scope, ::tensorflow::Input x)
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Public attributes |
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operation
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y
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Public functions |
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node() const
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::tensorflow::Node *
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operator::tensorflow::Input() const
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operator::tensorflow::Output() const
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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