# tensorflow::ops::QuantizedAdd

`#include <math_ops.h>`

Returns x + y element-wise, working on quantized buffers.

## Summary

Arguments:

- scope: A [Scope](https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object
- min_x: The float value that the lowest quantized `x` value represents.
- max_x: The float value that the highest quantized `x` value represents.
- min_y: The float value that the lowest quantized `y` value represents.
- max_y: The float value that the highest quantized `y` value represents.

<br />

Returns:

- `https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output` z
- `https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output` min_z: The float value that the lowest quantized output value represents.
- `https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output` max_z: The float value that the highest quantized output value represents.

<br />

*NOTE*: `https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/ops/quantized-add#classtensorflow_1_1ops_1_1_quantized_add` supports limited forms of broadcasting. More about broadcasting [here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)

| ### Constructors and Destructors ||
|---|---|
| `https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/ops/quantized-add#classtensorflow_1_1ops_1_1_quantized_add_1a621cf3cc36853c0430685e0ededdb067(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, ::https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input y, ::https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input min_x, ::https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input max_x, ::https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input min_y, ::https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input max_y)` ||
| `https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/ops/quantized-add#classtensorflow_1_1ops_1_1_quantized_add_1a57f7593ed6b7624a1d2cb0e786658078(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, ::https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input y, ::https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input min_x, ::https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input max_x, ::https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input min_y, ::https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input max_y, const https://www.tensorflow.org/versions/r2.0/api_docs/cc/struct/tensorflow/ops/quantized-add/attrs#structtensorflow_1_1ops_1_1_quantized_add_1_1_attrs & attrs)` ||

| ### Public attributes ||
|---|---|
| `https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/ops/quantized-add#classtensorflow_1_1ops_1_1_quantized_add_1aa6b32102b5d9cae9995b2a21ace0e734` | `::https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output` |
| `https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/ops/quantized-add#classtensorflow_1_1ops_1_1_quantized_add_1aaa43907a5a663e0ef036a91d223208a2` | `::https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output` |
| `https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/ops/quantized-add#classtensorflow_1_1ops_1_1_quantized_add_1a23cd1345aab819233c50f05efd30b8be` | `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/quantized-add#classtensorflow_1_1ops_1_1_quantized_add_1a3477fdd6d636f728c0c5267923f5cf43` | `::https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output` |

| ### Public static functions ||
|---|---|
| `https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/ops/quantized-add#classtensorflow_1_1ops_1_1_quantized_add_1acba69e1c883470c315eb3688e1f4de1e(DataType x)` | `https://www.tensorflow.org/versions/r2.0/api_docs/cc/struct/tensorflow/ops/quantized-add/attrs#structtensorflow_1_1ops_1_1_quantized_add_1_1_attrs` |

| ### Structs ||
|---|---|
| [tensorflow::ops::QuantizedAdd::Attrs](https://www.tensorflow.org/versions/r2.0/api_docs/cc/struct/tensorflow/ops/quantized-add/attrs) | Optional attribute setters for [QuantizedAdd](https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/ops/quantized-add#classtensorflow_1_1ops_1_1_quantized_add). |

## Public attributes

### max_z

```
::tensorflow::Output max_z
```

### min_z

```
::tensorflow::Output min_z
```

### operation

```
Operation operation
```

### z

```
::tensorflow::Output z
```

## Public functions

### QuantizedAdd

```
 QuantizedAdd(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input x,
  ::tensorflow::Input y,
  ::tensorflow::Input min_x,
  ::tensorflow::Input max_x,
  ::tensorflow::Input min_y,
  ::tensorflow::Input max_y
)
```

### QuantizedAdd

```
 QuantizedAdd(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input x,
  ::tensorflow::Input y,
  ::tensorflow::Input min_x,
  ::tensorflow::Input max_x,
  ::tensorflow::Input min_y,
  ::tensorflow::Input max_y,
  const QuantizedAdd::Attrs & attrs
)
```

## Public static functions

### Toutput

```
Attrs Toutput(
  DataType x
)
```