# 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 () Returns the symbolic handle of the tensor. static Exp ( Scope scope, Operand x) Factory method to create a class wrapping a new Exp operation. Output ()

## 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 ()

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