Expm1

public final class Expm1

Computes `exp(x) - 1` element-wise.

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)

Constants

String OP_NAME The name of this op, as known by TensorFlow core engine

Public Methods

Output<T>
asOutput()
Returns the symbolic handle of the tensor.
static <T extends TType> Expm1<T>
create(Scope scope, Operand<T> x)
Factory method to create a class wrapping a new Expm1 operation.
Output<T>
y()

Inherited Methods

Constants

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "Expm1"

Public Methods

public Output<T> asOutput ()

Returns the symbolic handle of the tensor.

Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.

public static Expm1<T> create (Scope scope, Operand<T> x)

Factory method to create a class wrapping a new Expm1 operation.

Parameters
scope current scope
Returns
  • a new instance of Expm1

public Output<T> y ()