Java* API Reference for Intel® Data Analytics Acceleration Library 2019 Update 4

List of all members

Class that specifies parameters of the 2D locally connected layer. More...

Detailed Description

Member Function Documentation

long getGroupDimension ( )

Gets the index of the dimension for which the grouping is applied

Returns
LocallyConnected2dIndex of the dimension for which the grouping is applied
LocallyConnected2dIndices getIndices ( )

Gets the data structure representing the dimension for locally connected kernels

Returns
Data structure representing the dimension for locally connected kernels
LocallyConnected2dKernelSizes getKernelSizes ( )

Gets the data structure representing the sizes of the two-dimensional kernel subtensor

Returns
Data structure representing the sizes of the two-dimensional kernel subtensor
long getNGroups ( )

Gets the number of groups which the input data is split in groupDimension dimension

Returns
Number of groups which the input data is split in groupDimension dimension
long getNKernels ( )

Gets the number of kernels applied to the input layer data

Returns
Number of kernels applied to the input layer data
LocallyConnected2dPaddings getPaddings ( )

Gets the data structure representing the number of data elements to implicitly add to each side of the 2D subtensor on which locally connected is performed

Returns
Data structure representing the number of data elements to implicitly add to each side of the 2D subtensor on which locally connected is performed
LocallyConnected2dStrides getStrides ( )

Gets the data structure representing the intervals on which the kernel should be applied to the input

Returns
Data structure representing the intervals on which the kernel should be applied to the input
void setGroupDimension ( long  groupDimension)

Sets the index of the dimension for which the grouping is applied

Parameters
groupDimensionDimension for which the grouping is applied
void setIndices ( LocallyConnected2dIndices  LocallyConnected2dIndices)

Sets the data structure representing the dimension for locally connected kernels

Parameters
LocallyConnected2dIndicesThe data structure representing the dimension for locally connected kernels
void setKernelSizes ( LocallyConnected2dKernelSizes  kernelSize)

Sets the data structure representing the sizes of the two-dimensional kernel subtensor

Parameters
kernelSizeThe data structure representing the sizes of the two-dimensional kernel subtensor
void setNGroups ( long  nGroups)

Sets the number of groups which the input data is split in groupDimension dimension

Parameters
nGroupsThe number of groups which the input data is split in groupDimension dimension
void setNKernels ( long  nKernels)

Sets the number of kernels applied to the input layer data

Parameters
nKernelsThe number of kernels applied to the input layer data
void setPaddings ( LocallyConnected2dPaddings  padding)

Sets the data structure representing the number of data elements to implicitly add to each side of the 2D subtensor on which locally connected is performed

Parameters
paddingThe data structure representing the number of data elements to implicitly add to each side of the 2D subtensor on which locally connected is performed
void setStrides ( LocallyConnected2dStrides  str)

Sets the data structure representing the intervals on which the kernel should be applied to the input

Parameters
strThe data structure representing the intervals on which the kernel should be applied to the input

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

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