Computes a range that covers the actual values present in a quantized tensor.
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`.
Constants
String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
static RequantizationRange | |
Output<TFloat32> |
outputMax()
the computed max output.
|
Output<TFloat32> |
outputMin()
The computed min output.
|
Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Public Methods
public static RequantizationRange create (Scope scope, Operand<? extends TType> input, Operand<TFloat32> inputMin, Operand<TFloat32> inputMax)
Factory method to create a class wrapping a new RequantizationRange operation.
Parameters
scope | current scope |
---|---|
inputMin | The float value that the minimum quantized input value represents. |
inputMax | The float value that the maximum quantized input value represents. |
Returns
- a new instance of RequantizationRange