# tf.raw_ops.UniformQuantize

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Perform quantization on Tensor `input`.

#### View aliases


**Compat aliases for migration**

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

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

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    tf.raw_ops.UniformQuantize(
        input,
        scales,
        zero_points,
        Tout,
        quantization_min_val,
        quantization_max_val,
        quantization_axis=-1,
        name=None
    )

Given `input`, `scales` and `zero_points`, performs quantization using the formula:
quantized_data = floor(input_data \* (1.0f / scale) + 0.5f) + zero_point

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| ## Args ||
|---|---|
| `input` | A `Tensor`. Must be one of the following types: `float32`. Must be a Tensor of Tin. |
| `scales` | A `Tensor` of type `float32`. The float value(s) to use as scale(s) to quantize `input`. Must be a scalar Tensor if quantization_axis is -1 (per-tensor quantization), otherwise 1D Tensor of size (input.dim_size(quantization_axis),) (per-axis quantization). |
| `zero_points` | A `Tensor` of type `int32`. The int32 value(s) to use as zero_point(s) to quantize `input`. Same shape condition as scales. |
| `Tout` | A [`tf.DType`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/dtypes/DType) from: `tf.qint8, tf.qint32`. The type of output Tensor. A tf.DType from: tf.float32 |
| `quantization_min_val` | An `int`. The quantization min value to quantize `input`. The purpose of this attribute is typically (but not limited to) to indicate narrow range, where this is set to: `(Tin lowest) + 1` if narrow range, and `(Tin lowest)` otherwise. For example, if Tin is qint8, this is set to -127 if narrow range quantized or -128 if not. |
| `quantization_max_val` | An `int`. The quantization max value to quantize `input`. The purpose of this attribute is typically (but not limited to) indicate narrow range, where this is set to: `(Tout max)` for both narrow range and not narrow range. For example, if Tin is qint8, this is set to 127. |
| `quantization_axis` | An optional `int`. Defaults to `-1`. Indicates the dimension index of the tensor where per-axis quantization is applied for the slices along that dimension. If set to -1 (default), this indicates per-tensor quantization. Otherwise, it must be set within range \[0, input.dims()). |
| `name` | A name for the operation (optional). |

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| ## Returns ||
|---|---|
| A `Tensor` of type `Tout`. ||

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