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# tensorflow:: ops:: Expm1

``` #include <math_ops.h> ```

Computes ``` exp(x) - 1 ``` element-wise.

## Summary

i.e. ``` exp(x) - 1 ``` or ``` e^(x) - 1 ``` , where ``` x ``` is the input tensor. ``` e ``` denotes Euler's number and is approximately equal to 2.718281.

```  x = tf.constant(2.0)
tf.math.expm1(x) ==> 6.389056```

```  x = tf.constant([2.0, 8.0])
tf.math.expm1(x) ==> array([6.389056, 2979.958], dtype=float32)```

```  x = tf.constant(1 + 1j)
tf.math.expm1(x) ==> (0.46869393991588515+2.2873552871788423j)
```

Args:

Returns:

• ``` Output ``` : The y tensor.

### Constructors and Destructors

``` Expm1 (const :: tensorflow::Scope & scope, :: tensorflow::Input x) ```

### Public attributes

``` operation ```
``` Operation ```
``` y ```
``` :: tensorflow::Output ```

### Public functions

``` node () const ```
``` ::tensorflow::Node * ```
``` operator::tensorflow::Input () const ```
``` ```
``` operator::tensorflow::Output () const ```
``` ```

## Public attributes

### operation

`Operation operation`

### y

`::tensorflow::Output y`

## Public functions

### Expm1

``` Expm1(
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 `
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