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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)
```

Arguments:

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 `