org.tensorflow.op.core

Class Requantize<U>

java.lang.Object

org.tensorflow.op.PrimitiveOp

org.tensorflow.op.core.Requantize<U>

Type Parameters:

U - data type for output() output

All Implemented Interfaces:

Op

@Operator
public final class Requantize<U>
extends PrimitiveOp

Convert 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.

Field Summary

Fields inherited from class org.tensorflow.op.PrimitiveOp

operation

Method Summary

Modifier and Type	Method and Description
static <U,T> Requantize<U>	create(Scope scope, Operand<T> input, Operand<Float> inputMin, Operand<Float> inputMax, Operand<Float> requestedOutputMin, Operand<Float> requestedOutputMax, Class<U> outType) Factory method to create a class to wrap a new Requantize operation to the graph.
Output<U>	output()
Output<Float>	outputMax() The requested_output_max value is copied into this output.
Output<Float>	outputMin() The requested_output_min value is copied into this output.

Methods inherited from class org.tensorflow.op.PrimitiveOp

equals, hashCode, toString

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Method Detail

create

public static <U,T> Requantize<U> create(Scope scope,
                                         Operand<T> input,
                                         Operand<Float> inputMin,
                                         Operand<Float> inputMax,
                                         Operand<Float> requestedOutputMin,
                                         Operand<Float> requestedOutputMax,
                                         Class<U> outType)

Factory method to create a class to wrap a new Requantize operation to the graph.

Parameters:

scope - current graph scope

input -

inputMin - The float value that the minimum quantized input value represents.

inputMax - The float value that the maximum quantized input value represents.

requestedOutputMin - The float value that the minimum quantized output value represents.

requestedOutputMax - The float value that the maximum quantized output value represents.

outType - The type of the output. Should be a lower bit depth than Tinput.

Returns:

a new instance of Requantize

output

public Output<U> output()

outputMin

public Output<Float> outputMin()

The requested_output_min value is copied into this output.

outputMax

public Output<Float> outputMax()

The requested_output_max value is copied into this output.