org.tensorflow.op.core

Class QuantizedDepthwiseConv2DWithBias<V>

java.lang.Object

org.tensorflow.op.PrimitiveOp

org.tensorflow.op.core.QuantizedDepthwiseConv2DWithBias<V>

Type Parameters:

V - data type for output() output

All Implemented Interfaces:

Op

public final class QuantizedDepthwiseConv2DWithBias<V>
extends PrimitiveOp

Computes quantized depthwise Conv2D with Bias.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	QuantizedDepthwiseConv2DWithBias.Options Optional attributes for QuantizedDepthwiseConv2DWithBias

Field Summary

Fields inherited from class org.tensorflow.op.PrimitiveOp

operation

Method Summary

Modifier and Type	Method and Description
static <V,T,U> QuantizedDepthwiseConv2DWithBias<V>	create(Scope scope, Operand<T> input, Operand<U> filter, Operand<Float> bias, Operand<Float> minInput, Operand<Float> maxInput, Operand<Float> minFilter, Operand<Float> maxFilter, Class<V> outType, List<Long> strides, String padding, QuantizedDepthwiseConv2DWithBias.Options... options) Factory method to create a class wrapping a new QuantizedDepthwiseConv2DWithBias operation.
static QuantizedDepthwiseConv2DWithBias.Options	dilations(List<Long> dilations)
Output<Float>	maxOutput() The float value that the maximum quantized output value represents.
Output<Float>	minOutput() The float value that the minimum quantized output value represents.
Output<V>	output() The output tensor.

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 <V,T,U> QuantizedDepthwiseConv2DWithBias<V> create(Scope scope,
                                                                 Operand<T> input,
                                                                 Operand<U> filter,
                                                                 Operand<Float> bias,
                                                                 Operand<Float> minInput,
                                                                 Operand<Float> maxInput,
                                                                 Operand<Float> minFilter,
                                                                 Operand<Float> maxFilter,
                                                                 Class<V> outType,
                                                                 List<Long> strides,
                                                                 String padding,
                                                                 QuantizedDepthwiseConv2DWithBias.Options... options)

Factory method to create a class wrapping a new QuantizedDepthwiseConv2DWithBias operation.

Parameters:

scope - current scope

input - The original input tensor.

filter - The original filter tensor.

bias - The original bias tensor.

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

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

minFilter - The float value that the minimum quantized filter value represents.

maxFilter - The float value that the maximum quantized filter value represents.

outType - The type of the output.

strides - List of stride values.

padding -

options - carries optional attributes values

Returns:

a new instance of QuantizedDepthwiseConv2DWithBias

dilations

public static QuantizedDepthwiseConv2DWithBias.Options dilations(List<Long> dilations)

Parameters:

dilations - List of dilation values.

output

public Output<V> output()

The output tensor.

minOutput

public Output<Float> minOutput()

The float value that the minimum quantized output value represents.

maxOutput

public Output<Float> maxOutput()

The float value that the maximum quantized output value represents.