# tensorflow::ops::QuantizedInstanceNorm Class Reference

# tensorflow::
ops::
QuantizedInstanceNorm

`
#include <array_ops.h>
`


Quantized Instance normalization.

## Summary


Args:

- scope: A [Scope](https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object
- x: A 4D input [Tensor](https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor) .
- x_min: The value represented by the lowest quantized input.
- x_max: The value represented by the highest quantized input.

<br />


Optional attributes (see
`
https://www.tensorflow.org/versions/r2.5/api_docs/cc/struct/tensorflow/ops/quantized-instance-norm/attrs#structtensorflow_1_1ops_1_1_quantized_instance_norm_1_1_attrs
`
):

- output_range_given: If True, `
  given_y_min
  ` and `
  given_y_min
  ` and `
  given_y_max
  ` are used as the output range. Otherwise, the implementation computes the output range.
- given_y_min: [Output](https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) in `
  y_min
  ` if `
  output_range_given
  ` is True.
- given_y_max: [Output](https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) in `
  y_max
  ` if `
  output_range_given
  ` is True.
- variance_epsilon: A small float number to avoid dividing by 0.
- min_separation: [Minimum](https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/ops/minimum#classtensorflow_1_1ops_1_1_minimum) value of `
  y_max - y_min
  `

<br />


Returns:

- `
  https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output
  ` y: A 4D [Tensor](https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor) .
- `
  https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output
  ` y_min: The value represented by the lowest quantized output.
- `
  https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output
  ` y_max: The value represented by the highest quantized output.

<br />

| ### Constructors and Destructors ||
|---|---|
| ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/ops/quantized-instance-norm#classtensorflow_1_1ops_1_1_quantized_instance_norm_1a66f14d43d5a9459d866db037f7bb4906 (const :: https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope & scope, :: https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input x, :: https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input x_min, :: https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input x_max) ` ||
| ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/ops/quantized-instance-norm#classtensorflow_1_1ops_1_1_quantized_instance_norm_1ac70831b63384f7e34a878a00fccc1b5e (const :: https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope & scope, :: https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input x, :: https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input x_min, :: https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input x_max, const https://www.tensorflow.org/versions/r2.5/api_docs/cc/struct/tensorflow/ops/quantized-instance-norm/attrs#structtensorflow_1_1ops_1_1_quantized_instance_norm_1_1_attrs & attrs) ` ||

| ### Public attributes ||
|---|---|
| ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/ops/quantized-instance-norm#classtensorflow_1_1ops_1_1_quantized_instance_norm_1a9c16e83b751d6d10a6bca12d0abb615f ` | ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation ` |
| ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/ops/quantized-instance-norm#classtensorflow_1_1ops_1_1_quantized_instance_norm_1ad70ba4eba105fb7eae8362df8a2cfccd ` | ` :: https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output ` |
| ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/ops/quantized-instance-norm#classtensorflow_1_1ops_1_1_quantized_instance_norm_1a9ecfdc7d60f12b5439992b5e0e9d70bf ` | ` :: https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output ` |
| ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/ops/quantized-instance-norm#classtensorflow_1_1ops_1_1_quantized_instance_norm_1a4e52b8d2fb01146563d0679d4b72dcb7 ` | ` :: https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output ` |

| ### Public static functions ||
|---|---|
| ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/ops/quantized-instance-norm#classtensorflow_1_1ops_1_1_quantized_instance_norm_1ab8f1ad838d1814616fbd34a0c34cfc00 (float x) ` | ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/struct/tensorflow/ops/quantized-instance-norm/attrs#structtensorflow_1_1ops_1_1_quantized_instance_norm_1_1_attrs ` |
| ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/ops/quantized-instance-norm#classtensorflow_1_1ops_1_1_quantized_instance_norm_1a59f4f357b2be2e533c5e60801d978170 (float x) ` | ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/struct/tensorflow/ops/quantized-instance-norm/attrs#structtensorflow_1_1ops_1_1_quantized_instance_norm_1_1_attrs ` |
| ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/ops/quantized-instance-norm#classtensorflow_1_1ops_1_1_quantized_instance_norm_1a971e6b0a27bdc399ed7e5d9837dcbe39 (float x) ` | ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/struct/tensorflow/ops/quantized-instance-norm/attrs#structtensorflow_1_1ops_1_1_quantized_instance_norm_1_1_attrs ` |
| ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/ops/quantized-instance-norm#classtensorflow_1_1ops_1_1_quantized_instance_norm_1a8b157c23eb87cca9013c02ae6cadb1a6 (bool x) ` | ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/struct/tensorflow/ops/quantized-instance-norm/attrs#structtensorflow_1_1ops_1_1_quantized_instance_norm_1_1_attrs ` |
| ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/ops/quantized-instance-norm#classtensorflow_1_1ops_1_1_quantized_instance_norm_1ad19d246905b047dfa2a65bd7bb7fd601 (float x) ` | ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/struct/tensorflow/ops/quantized-instance-norm/attrs#structtensorflow_1_1ops_1_1_quantized_instance_norm_1_1_attrs ` |

| ### Structs ||
|---|---|
| [tensorflow:: ops:: QuantizedInstanceNorm:: Attrs](https://www.tensorflow.org/versions/r2.5/api_docs/cc/struct/tensorflow/ops/quantized-instance-norm/attrs) | Optional attribute setters for [QuantizedInstanceNorm](https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/ops/quantized-instance-norm#classtensorflow_1_1ops_1_1_quantized_instance_norm) . |

## Public attributes

### operation

```
Operation operation
```

### y

```
::tensorflow::Output y
```

### y_max

```
::tensorflow::Output y_max
```

### y_min

```
::tensorflow::Output y_min
```

## Public functions

### QuantizedInstanceNorm

```
 QuantizedInstanceNorm(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input x,
  ::tensorflow::Input x_min,
  ::tensorflow::Input x_max
)
```

### QuantizedInstanceNorm

```
 QuantizedInstanceNorm(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input x,
  ::tensorflow::Input x_min,
  ::tensorflow::Input x_max,
  const QuantizedInstanceNorm::Attrs & attrs
)
```

## Public static functions

### GivenYMax

```
Attrs GivenYMax(
  float x
)
```

### GivenYMin

```
Attrs GivenYMin(
  float x
)
```

### MinSeparation

```
Attrs MinSeparation(
  float x
)
```

### OutputRangeGiven

```
Attrs OutputRangeGiven(
  bool x
)
```

### VarianceEpsilon

```
Attrs VarianceEpsilon(
  float x
)
```