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# tensorflow:: ops:: Requantize

``` #include <math_ops.h> ```

Converts the quantized ``` input ``` tensor into a lower-precision ``` output ``` .

## Summary

Converts the quantized ``` input ``` tensor into a lower-precision ``` output ``` , using the output range specified with ``` requested_output_min ``` and ``` requested_output_max ``` .

``` [input_min, input_max] ``` are scalar floats that specify the range for the float interpretation of the ``` input ``` data. For example, if ``` input_min ``` is -1.0f and ``` input_max ``` is 1.0f, and we are dealing with ``` quint16 ``` quantized data, then a 0 value in the 16-bit data should be interpreted as -1.0f, and a 65535 means 1.0f.

Args:

• scope: A Scope object
• input_min: The float value that the minimum quantized input value represents.
• input_max: The float value that the maximum quantized input value represents.
• requested_output_min: The float value that the minimum quantized output value represents.
• requested_output_max: The float value that the maximum quantized output value represents.
• out_type: The type of the output. Should be a lower bit depth than Tinput.

Returns:

• ``` Output ``` output
• ``` Output ``` output_min: The requested_output_min value is copied into this output.
• ``` Output ``` output_max: The requested_output_max value is copied into this output.

### Constructors and Destructors

``` Requantize (const :: tensorflow::Scope & scope, :: tensorflow::Input input, :: tensorflow::Input input_min, :: tensorflow::Input input_max, :: tensorflow::Input requested_output_min, :: tensorflow::Input requested_output_max, DataType out_type) ```

### Public attributes

``` operation ```
``` Operation ```
``` output ```
``` :: tensorflow::Output ```
``` output_max ```
``` :: tensorflow::Output ```
``` output_min ```
``` :: tensorflow::Output ```

## Public attributes

### operation

`Operation operation`

### output

`::tensorflow::Output output`

### output_max

`::tensorflow::Output output_max`

### output_min

`::tensorflow::Output output_min`

## Public functions

### Requantize

``` Requantize(
const ::tensorflow::Scope & scope,
::tensorflow::Input input,
::tensorflow::Input input_min,
::tensorflow::Input input_max,
::tensorflow::Input requested_output_min,
::tensorflow::Input requested_output_max,
DataType out_type
)```
[{ "type": "thumb-down", "id": "missingTheInformationINeed", "label":"Missing the information I need" },{ "type": "thumb-down", "id": "tooComplicatedTooManySteps", "label":"Too complicated / too many steps" },{ "type": "thumb-down", "id": "outOfDate", "label":"Out of date" },{ "type": "thumb-down", "id": "samplesCodeIssue", "label":"Samples / code issue" },{ "type": "thumb-down", "id": "otherDown", "label":"Other" }]
[{ "type": "thumb-up", "id": "easyToUnderstand", "label":"Easy to understand" },{ "type": "thumb-up", "id": "solvedMyProblem", "label":"Solved my problem" },{ "type": "thumb-up", "id": "otherUp", "label":"Other" }]