Exp

public final class Exp

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
   

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 > Exp <T>
create ( Scope scope, Operand <T> x)
Factory method to create a class wrapping a new Exp 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: "Exp"

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

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

Parameters
scope current scope
Returns
  • a new instance of Exp

public Output <T> y ()