# tensorflow::ops::Exp Class Reference

# tensorflow::
ops::
Exp

`
#include <math_ops.h>
`


Computes exponential of x element-wise.

## Summary


\\(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](https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output)
is positive for any real input.


```
  x = tf.constant(2.0)
  tf.math.exp(x) ==> 7.389056
```

<br />


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

<br />


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


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

<br />


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
  
```

<br />


Args:

- scope: A [Scope](https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object

<br />


Returns:

- `
  https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output
  ` : The y tensor.

<br />

| ### Constructors and Destructors ||
|---|---|
| ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/ops/exp#classtensorflow_1_1ops_1_1_exp_1aa5419f33d177e95f326a2dfcad2953eb (const :: https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope & scope, :: https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input x) ` ||

| ### Public attributes ||
|---|---|
| ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/ops/exp#classtensorflow_1_1ops_1_1_exp_1ac936e897598d160c335f673bf833bdeb ` | ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation ` |
| ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/ops/exp#classtensorflow_1_1ops_1_1_exp_1acec4d597d17df94ecccfd9d29eddf575 ` | ` :: https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output ` |

| ### Public functions ||
|---|---|
| ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/ops/exp#classtensorflow_1_1ops_1_1_exp_1af53d5710bdc80316d5e9ea12031337af () const ` | ` ::tensorflow::Node * ` |
| ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/ops/exp#classtensorflow_1_1ops_1_1_exp_1ae1bad90173cb03f4c2509197101438e1 () const ` | ` ` |
| ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/ops/exp#classtensorflow_1_1ops_1_1_exp_1a34c367c172a44e41239ff083a588dd85 () const ` | ` ` |

## Public attributes

### operation

```
Operation operation
```

### y

```
::tensorflow::Output y
```

## Public functions

### Exp

```
 Exp(
  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 
```