Identifiers of input objects for the backward batch normalization layer and results for the forward batch normalization layer.
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◆ BatchNormalizationLayerDataId()
Constructs the input object identifier using the provided value
- Parameters
-
value | Value corresponding to the input object identifier |
◆ getValue()
Returns the value corresponding to the input object identifier
- Returns
- Value corresponding to the input object identifier
◆ auxData
p-dimensional tensor that stores forward batch normalization layer input data
◆ auxMean
1-dimensional tensor of size
that stores mini-batch mean
◆ auxPopulationMean
1-dimensional tensor of size
that stores resulting population mean
◆ auxPopulationVariance
1-dimensional tensor of size
that stores resulting population variance
◆ auxStandardDeviation
1-dimensional tensor of size
that stores mini-batch standard deviation
◆ auxWeights
1-dimensional tensor of size
that stores input weights for forward batch normalization layer
The documentation for this class was generated from the following file:
- BatchNormalizationLayerDataId.java