C++ API Reference for Intel® Data Analytics Acceleration Library 2018 Update 1

List of all members

Provides methods for the spatial pyramid average 2D pooling layer in the batch processing mode. More...

Class Declaration

template<typename algorithmFPType = DAAL_ALGORITHM_FP_TYPE, Method method = defaultDense>
class daal::algorithms::neural_networks::layers::spatial_average_pooling2d::interface1::Batch< algorithmFPType, method >

Template Parameters
algorithmFPTypeData type to use in intermediate computations for the spatial pyramid average 2D pooling layer, double or float
methodSpatial pyramid spatial pyramid average 2D pooling layer method, Method
Enumerations
  • Method Computation methods
  • LayerDataId Identifiers of collection in results of forward and in input objects for the backward average 2D pooling layer
References

Constructor & Destructor Documentation

Batch ( size_t  pyramidHeight,
size_t  nDimensions 
)
inline

Constructs the spatial pyramid average 2D pooling layer

Parameters
[in]nDimensionsNumber of dimensions in input gradient tensor
[in]pyramidHeightThe value of pyramid height

Member Data Documentation

Parameter parameter

Spatial pyramid spatial pyramid average 2D pooling layer parameters


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

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