org.tensorflow.op.math

Class Exp<T>

java.lang.Object

org.tensorflow.op.PrimitiveOp

org.tensorflow.op.math.Exp<T>

Type Parameters:

T - data type for y() output

All Implemented Interfaces:

Op, Operand<T>

@Operator(group="math")
public final class Exp<T>
extends PrimitiveOp
implements Operand<T>

Computes exponential of x element-wise. \\(y = e^x\\).

This function computes the exponential of every element in the input tensor. i.e. `exp(x)` or `e^(x)`, where `x` is the input tensor. `e` denotes Euler's number and is approximately equal to 2.718281. Output is positive for any real input.

   x = tf.constant(2.0)
   tf.math.exp(x) ==> 7.389056
 
   x = tf.constant([2.0, 8.0])
   tf.math.exp(x) ==> array([7.389056, 2980.958], dtype=float32)
   

For complex numbers, the exponential value is calculated as follows:

   e^(x+iy) = e^x * e^iy = e^x * (cos y + i sin y)
   

Let's consider complex number 1+1j as an example. e^1 * (cos 1 + i sin 1) = 2.7182818284590 * (0.54030230586+0.8414709848j)

   x = tf.constant(1 + 1j)
   tf.math.exp(x) ==> 1.4686939399158851+2.2873552871788423j
   

Field Summary

Fields inherited from class org.tensorflow.op.PrimitiveOp

operation

Method Summary

Modifier and Type	Method and Description
Output<T>	asOutput() Returns the symbolic handle of a tensor.
static <T> Exp<T>	create(Scope scope, Operand<T> x) Factory method to create a class wrapping a new Exp operation.
Output<T>	y()

Methods inherited from class org.tensorflow.op.PrimitiveOp

equals, hashCode, op, toString

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Method Detail

create

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

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

Parameters:

scope - current scope

x -

Returns:

a new instance of Exp

y

public Output<T> y()

asOutput

public Output<T> asOutput()

Description copied from interface: Operand

Returns the symbolic handle of a 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.

Specified by:

asOutput in interface Operand<T>

See Also:

OperationBuilder.addInput(Output)