org.tensorflow.op.core

Class QuantizedConv2DWithBiasSumAndReluAndRequantize<X>

java.lang.Object

org.tensorflow.op.PrimitiveOp

org.tensorflow.op.core.QuantizedConv2DWithBiasSumAndReluAndRequantize<X>

Type Parameters:

X - data type for output() output

All Implemented Interfaces:

Op

public final class QuantizedConv2DWithBiasSumAndReluAndRequantize<X>
extends PrimitiveOp

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	QuantizedConv2DWithBiasSumAndReluAndRequantize.Options Optional attributes for QuantizedConv2DWithBiasSumAndReluAndRequantize

Field Summary

Fields inherited from class org.tensorflow.op.PrimitiveOp

operation

Method Summary

Modifier and Type	Method and Description
static <X,T,U,V,W> QuantizedConv2DWithBiasSumAndReluAndRequantize<X>	create(Scope scope, Operand<T> input, Operand<U> filter, Operand<V> bias, Operand<Float> minInput, Operand<Float> maxInput, Operand<Float> minFilter, Operand<Float> maxFilter, Operand<Float> minFreezedOutput, Operand<Float> maxFreezedOutput, Operand<W> summand, Operand<Float> minSummand, Operand<Float> maxSummand, Class<X> outType, List<Long> strides, String padding, QuantizedConv2DWithBiasSumAndReluAndRequantize.Options... options) Factory method to create a class wrapping a new QuantizedConv2DWithBiasSumAndReluAndRequantize operation.
static QuantizedConv2DWithBiasSumAndReluAndRequantize.Options	dilations(List<Long> dilations)
Output<Float>	maxOutput()
Output<Float>	minOutput()
Output<X>	output()
static QuantizedConv2DWithBiasSumAndReluAndRequantize.Options	paddingList(List<Long> paddingList)

Methods inherited from class org.tensorflow.op.PrimitiveOp

equals, hashCode, op, toString

Methods inherited from class java.lang.Object

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

Method Detail

create

public static <X,T,U,V,W> QuantizedConv2DWithBiasSumAndReluAndRequantize<X> create(Scope scope,
                                                                                   Operand<T> input,
                                                                                   Operand<U> filter,
                                                                                   Operand<V> bias,
                                                                                   Operand<Float> minInput,
                                                                                   Operand<Float> maxInput,
                                                                                   Operand<Float> minFilter,
                                                                                   Operand<Float> maxFilter,
                                                                                   Operand<Float> minFreezedOutput,
                                                                                   Operand<Float> maxFreezedOutput,
                                                                                   Operand<W> summand,
                                                                                   Operand<Float> minSummand,
                                                                                   Operand<Float> maxSummand,
                                                                                   Class<X> outType,
                                                                                   List<Long> strides,
                                                                                   String padding,
                                                                                   QuantizedConv2DWithBiasSumAndReluAndRequantize.Options... options)

Factory method to create a class wrapping a new QuantizedConv2DWithBiasSumAndReluAndRequantize operation.

Parameters:

scope - current scope

input -

filter -

bias -

minInput -

maxInput -

minFilter -

maxFilter -

minFreezedOutput -

maxFreezedOutput -

summand -

minSummand -

maxSummand -

outType -

strides -

padding -

options - carries optional attributes values

Returns:

a new instance of QuantizedConv2DWithBiasSumAndReluAndRequantize

dilations

public static QuantizedConv2DWithBiasSumAndReluAndRequantize.Options dilations(List<Long> dilations)

Parameters:

dilations -

paddingList

public static QuantizedConv2DWithBiasSumAndReluAndRequantize.Options paddingList(List<Long> paddingList)

Parameters:

paddingList -

output

public Output<X> output()

minOutput

public Output<Float> minOutput()

maxOutput

public Output<Float> maxOutput()