# tf.raw_ops.RequantizationRange

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Computes a range that covers the actual values present in a quantized tensor.

#### View aliases


**Compat aliases for migration**

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

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

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    tf.raw_ops.RequantizationRange(
        input, input_min, input_max, name=None
    )

Given a quantized tensor described by `(input, input_min, input_max)`, outputs a
range that covers the actual values present in that tensor. This op is typically
used to produce the `requested_output_min` and `requested_output_max` for
`Requantize`.

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| ## Args ||
|---|---|
| `input` | A `Tensor`. Must be one of the following types: `qint8`, `quint8`, `qint32`, `qint16`, `quint16`. |
| `input_min` | A `Tensor` of type `float32`. The float value that the minimum quantized input value represents. |
| `input_max` | A `Tensor` of type `float32`. The float value that the maximum quantized input value represents. |
| `name` | A name for the operation (optional). |

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| ## Returns ||
|---|---|
| A tuple of `Tensor` objects (output_min, output_max). ||
| `output_min` | A `Tensor` of type `float32`. |
| `output_max` | A `Tensor` of type `float32`. |

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