tensorflow::ops::Log1p

#include <math_ops.h>

Computes natural logarithm of (1 + x) element-wise.

Summary

I.e., \(y = (1 + x)\).

Example:

x = tf.constant([0, 0.5, 1, 5])
tf.math.log1p(x) ==> [0., 0.4054651, 0.6931472, 1.7917595]

Arguments:

Returns:

Constructors and Destructors
Log1p(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

Log1p

 Log1p(
  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 

© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/cc/class/tensorflow/ops/log1p