# tf.raw_ops.QuantizedInstanceNorm

<br />

Quantized Instance normalization.

#### View aliases


**Compat aliases for migration**

See
[Migration guide](https://www.tensorflow.org/guide/migrate) for
more details.

[`tf.compat.v1.raw_ops.QuantizedInstanceNorm`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/QuantizedInstanceNorm)

<br />

    tf.raw_ops.QuantizedInstanceNorm(
        x,
        x_min,
        x_max,
        output_range_given=False,
        given_y_min=0,
        given_y_max=0,
        variance_epsilon=1e-05,
        min_separation=0.001,
        name=None
    )

<br />

<br />

<br />

| ## Args ||
|---|---|
| `x` | A `Tensor`. Must be one of the following types: `qint8`, `quint8`, `qint32`, `qint16`, `quint16`. A 4D input Tensor. |
| `x_min` | A `Tensor` of type `float32`. The value represented by the lowest quantized input. |
| `x_max` | A `Tensor` of type `float32`. The value represented by the highest quantized input. |
| `output_range_given` | An optional `bool`. Defaults to `False`. 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` | An optional `float`. Defaults to `0`. Output in `y_min` if `output_range_given` is True. |
| `given_y_max` | An optional `float`. Defaults to `0`. Output in `y_max` if `output_range_given` is True. |
| `variance_epsilon` | An optional `float`. Defaults to `1e-05`. A small float number to avoid dividing by 0. |
| `min_separation` | An optional `float`. Defaults to `0.001`. Minimum value of `y_max - y_min` |
| `name` | A name for the operation (optional). |

<br />

<br />

| ## Returns ||
|---|---|
| A tuple of `Tensor` objects (y, y_min, y_max). ||
| `y` | A `Tensor`. Has the same type as `x`. |
| `y_min` | A `Tensor` of type `float32`. |
| `y_max` | A `Tensor` of type `float32`. |

<br />