# 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/r2.0/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 />

Arguments:

- scope: A [Scope](https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object

<br />

Returns:

- `https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output`: The y tensor.

<br />

| ### Constructors and Destructors ||
|---|---|
| `https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/ops/exp#classtensorflow_1_1ops_1_1_exp_1aa5419f33d177e95f326a2dfcad2953eb(const ::https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope & scope, ::https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input x)` ||

| ### Public attributes ||
|---|---|
| `https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/ops/exp#classtensorflow_1_1ops_1_1_exp_1ac936e897598d160c335f673bf833bdeb` | `https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation` |
| `https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/ops/exp#classtensorflow_1_1ops_1_1_exp_1acec4d597d17df94ecccfd9d29eddf575` | `::https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output` |

| ### Public functions ||
|---|---|
| `https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/ops/exp#classtensorflow_1_1ops_1_1_exp_1af53d5710bdc80316d5e9ea12031337af() const ` | `::tensorflow::Node *` |
| `https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/ops/exp#classtensorflow_1_1ops_1_1_exp_1ae1bad90173cb03f4c2509197101438e1() const ` | ` `` ` |
| `https://www.tensorflow.org/versions/r2.0/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 
```