Java* API Reference for Intel® Data Analytics Acceleration Library 2018 Update 2

Static Public Attributes | List of all members
BatchNormalizationLayerDataId Class Reference

Identifiers of input objects for the backward batch normalization layer and results for the forward batch normalization layer. More...

Class Constructor

◆ BatchNormalizationLayerDataId()

Constructs the input object identifier using the provided value

Parameters
valueValue corresponding to the input object identifier

Static Public Attributes

static final BatchNormalizationLayerDataId auxData = new BatchNormalizationLayerDataId(auxDataId)
 
static final BatchNormalizationLayerDataId auxWeights = new BatchNormalizationLayerDataId(auxWeightsId)
 
static final BatchNormalizationLayerDataId auxMean = new BatchNormalizationLayerDataId(auxMeanId)
 
static final BatchNormalizationLayerDataId auxStandardDeviation = new BatchNormalizationLayerDataId(auxStandardDeviationId)
 
static final BatchNormalizationLayerDataId auxPopulationMean = new BatchNormalizationLayerDataId(auxPopulationMeanId)
 
static final BatchNormalizationLayerDataId auxPopulationVariance = new BatchNormalizationLayerDataId(auxPopulationVarianceId)
 

Detailed Description

Member Function Documentation

◆ getValue()

int getValue ( )

Returns the value corresponding to the input object identifier

Returns
Value corresponding to the input object identifier

Member Data Documentation

◆ auxData

final BatchNormalizationLayerDataId auxData = new BatchNormalizationLayerDataId(auxDataId)
static

p-dimensional tensor that stores forward batch normalization layer input data

◆ auxMean

final BatchNormalizationLayerDataId auxMean = new BatchNormalizationLayerDataId(auxMeanId)
static

1-dimensional tensor of size $n_k$ that stores mini-batch mean

◆ auxPopulationMean

final BatchNormalizationLayerDataId auxPopulationMean = new BatchNormalizationLayerDataId(auxPopulationMeanId)
static

1-dimensional tensor of size $n_k$ that stores resulting population mean

◆ auxPopulationVariance

final BatchNormalizationLayerDataId auxPopulationVariance = new BatchNormalizationLayerDataId(auxPopulationVarianceId)
static

1-dimensional tensor of size $n_k$ that stores resulting population variance

◆ auxStandardDeviation

final BatchNormalizationLayerDataId auxStandardDeviation = new BatchNormalizationLayerDataId(auxStandardDeviationId)
static

1-dimensional tensor of size $n_k$ that stores mini-batch standard deviation

◆ auxWeights

final BatchNormalizationLayerDataId auxWeights = new BatchNormalizationLayerDataId(auxWeightsId)
static

1-dimensional tensor of size $n_k$ that stores input weights for forward batch normalization layer


The documentation for this class was generated from the following file:

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