Package org.apache.sysds.runtime.matrix.data

Interface Summary

Interface	Description
Converter<K1 extends org.apache.hadoop.io.Writable,V1 extends org.apache.hadoop.io.Writable,K2 extends org.apache.hadoop.io.Writable,V2 extends org.apache.hadoop.io.Writable>
CudaSupportFunctions	DESIGN DOCUMENTATION FOR SUPPORTING LOWER PRECISION: 1.
LibMatrixDNNRotate180.Rotate180Worker
MatrixBlockDataInput	Any data input that is intended to support fast deserialization / read of entire blocks should implement this interface.
MatrixBlockDataOutput	Any data output that is intended to support fast serialization / write of entire blocks should implement this interface.

Class Summary

Class	Description
BinaryBlockToTextCellConverter
CM_N_COVCell
CTableMap	Ctable map is an abstraction for the hashmap used for ctable's hash group-by because this structure is passed through various interfaces.
DnnParameters	This class is container that stores parameters required for executing following operations: conv2d, conv2d_backward_data, conv2d_backward_filter, maxpooling, maxpooling_backward
DoublePrecisionCudaSupportFunctions
FrameBlock
FrameBlock.ColumnMetadata
FrameBlock.FrameMapFunction
IJV	Helper class for external key/value exchange.
LibCommonsMath	Library for matrix operations that need invocation of Apache Commons Math library.
LibMatrixAgg	MB: Library for matrix aggregations including ak+, uak+ for all combinations of dense and sparse representations, and corrections.
LibMatrixBincell	Library for binary cellwise operations (incl arithmetic, relational, etc).
LibMatrixCountDistinct	This class contains various methods for counting the number of distinct values inside a MatrixBlock
LibMatrixCUDA	All CUDA kernels and library calls are redirected through this class
LibMatrixCuDNN	This class contains method that invoke CuDNN operations.
LibMatrixCuDNNConvolutionAlgorithm	This class is a wrapper that contain necessary data structures to invoke a cudnn convolution* functions (such as cudnnConvolutionForward, etc) It implements autocloseable to simplify the LibMatrixCuDNN code and also avoids potential memory leaks.
LibMatrixCuDNNInputRowFetcher	Performs a slice operation: out = in[(n+1):(n+1), 1:numColumns]
LibMatrixCuDNNPoolingDescriptors	This class is a wrapper that contain necessary data structures to invoke a cudnn convolution* functions (such as cudnnConvolutionForward, etc) It implements autocloseable to simplify the LibMatrixCuDNN code and also avoids potential memory leaks.
LibMatrixCuDNNRnnAlgorithm
LibMatrixCuMatMult
LibMatrixDatagen
LibMatrixDNN
LibMatrixDNNConv2d	This class contains the set of operators used for performing conv2d
LibMatrixDNNHelper
LibMatrixDNNIm2Col	This class contains the different implementation of im2col operation
LibMatrixDNNPooling	This class contains the set of operators used for performing pooling
LibMatrixDNNRelu	This class contains the different implementation of rotate180 operation
LibMatrixDNNRelu.ReluBackward	Performs the operation: (X gt 0) * dout
LibMatrixDNNRotate180	This class contains the different implementation of rotate180 operation
LibMatrixMult	MB: Library for matrix multiplications including MM, MV, VV for all combinations of dense, sparse, ultrasparse representations and special operations such as transpose-self matrix multiplication.
LibMatrixNative
LibMatrixOuterAgg	ACS: Purpose of this library is to make some of the unary outer aggregate operator more efficient.
LibMatrixReorg	MB: Library for selected matrix reorg operations including special cases and all combinations of dense and sparse representations.
MatrixBlock
MatrixBlock.SparsityEstimate
MatrixCell
MatrixIndexes	This represent the indexes to the blocks of the matrix.
MatrixValue
MatrixValue.CellIndex
OperationsOnMatrixValues
Pair<K,V>
RandomMatrixGenerator
SinglePrecisionCudaSupportFunctions
TextToBinaryCellConverter
TripleIndexes
TripleIndexes.Comparator
WeightedCell
WeightedPair

Enum Summary

Enum	Description
LibMatrixBincell.BinaryAccessType
LibMatrixDNN.PoolingType