org.tensorflow.op.core

Class QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize<W>

java.lang.Object

org.tensorflow.op.PrimitiveOp

org.tensorflow.op.core.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize<W>

Type Parameters:

W - data type for output() output

All Implemented Interfaces:

Op

public final class QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize<W>
extends PrimitiveOp

Computes quantized depthwise Conv2D with Bias, Relu and Requantize.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Options Optional attributes for QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize

Field Summary

Fields inherited from class org.tensorflow.op.PrimitiveOp

operation

Method Summary

Modifier and Type	Method and Description
static <W,T,U,V> QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize<W>	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, Class<W> outType, List<Long> strides, String padding, QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Options... options) Factory method to create a class wrapping a new QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize operation.
static QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.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<W>	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 <W,T,U,V> QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize<W> 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,
                                                                                       Class<W> outType,
                                                                                       List<Long> strides,
                                                                                       String padding,
                                                                                       QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Options... options)

Factory method to create a class wrapping a new QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize 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.

minFreezedOutput - The minimum float value of the output tensor.

maxFreezedOutput - The maximum float value of the output tensor.

outType - The type of the output.

strides - List of stride values.

padding -

options - carries optional attributes values

Returns:

a new instance of QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize

dilations

public static QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Options dilations(List<Long> dilations)

Parameters:

dilations - List of dilation values.

output

public Output<W> 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.