# aliran tensor:: operasi:: Expm1

`#include <math_ops.h>`

Menghitung `exp(x) - 1` berdasarkan elemen.

## Ringkasan

yaitu `exp(x) - 1` atau `e^(x) - 1` , di mana `x` adalah tensor masukan. `e` menunjukkan bilangan Euler dan kira-kira sama dengan 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)
```

Argumen:

Pengembalian:

• `Output` : Tensor y.

### Konstruktor dan Destruktor

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

### Atribut publik

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

### Fungsi publik

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

## Atribut publik

### operasi

`Operation operation`

### kamu

`::tensorflow::Output y`

## Fungsi publik

### Expm1

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

### simpul

`::tensorflow::Node * node() const `

### operator::tensorflow::Masukan

` operator::tensorflow::Input() const `

### operator::tensorflow::Keluaran

` operator::tensorflow::Output() const `
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