Java* API Reference for Intel® Data Analytics Acceleration Library 2019

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

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

int getValue ( )

Returns the value corresponding to the input object identifier

Returns
Value corresponding to the input object identifier

Member Data Documentation

final BatchNormalizationLayerDataId auxData = new BatchNormalizationLayerDataId(auxDataId)
static

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

final BatchNormalizationLayerDataId auxMean = new BatchNormalizationLayerDataId(auxMeanId)
static

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

final BatchNormalizationLayerDataId auxPopulationMean = new BatchNormalizationLayerDataId(auxPopulationMeanId)
static

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

final BatchNormalizationLayerDataId auxPopulationVariance = new BatchNormalizationLayerDataId(auxPopulationVarianceId)
static

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

final BatchNormalizationLayerDataId auxStandardDeviation = new BatchNormalizationLayerDataId(auxStandardDeviationId)
static

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

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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