# aliran tensor:: operasi:: Setara

`#include <math_ops.h>`

Mengembalikan nilai kebenaran (x == y) berdasarkan elemen.

## Ringkasan

CATATAN : `Equal` mendukung penyiaran. Lebih lanjut tentang penyiaran di sini

```x = tf.constant([2, 4])
y = tf.constant(2)
tf.math.equal(x, y) ==> array([True, False])```

```x = tf.constant([2, 4])
y = tf.constant([2, 4])
tf.math.equal(x, y) ==> array([True,  True])
```

Argumen:

Pengembalian:

• `Output` : Tensor z.

### Konstruktor dan Destruktor

`Equal (const :: tensorflow::Scope & scope, :: tensorflow::Input x, :: tensorflow::Input y)`
`Equal (const :: tensorflow::Scope & scope, :: tensorflow::Input x, :: tensorflow::Input y, const Equal::Attrs & attrs)`

### Atribut publik

`operation`
`Operation`
`z`
`:: tensorflow::Output`

### Fungsi publik

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

### Fungsi statis publik

`IncompatibleShapeError (bool x)`
`Attrs`

### Struktur

tensorflow:: ops:: Sama dengan:: Attrs

Penyetel atribut opsional untuk Equal .

## Atribut publik

### operasi

`Operation operation`

### z

`::tensorflow::Output z`

## Fungsi publik

### Setara

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

### Setara

``` Equal(
const ::tensorflow::Scope & scope,
::tensorflow::Input x,
::tensorflow::Input y,
const Equal::Attrs & attrs
)```

### simpul

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

### operator::tensorflow::Masukan

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

### operator::tensorflow::Keluaran

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

## Fungsi statis publik

### BentukTidak Kompatibel

```Attrs IncompatibleShapeError(
bool x
)```
[]
[]