Uses of Package
org.apache.sysml.runtime.matrix.data

Packages that use org.apache.sysml.runtime.matrix.data

Package	Description
org.apache.sysml.api.jmlc
org.apache.sysml.api.mlcontext
org.apache.sysml.runtime.codegen
org.apache.sysml.runtime.compress
org.apache.sysml.runtime.compress.estim
org.apache.sysml.runtime.compress.utils
org.apache.sysml.runtime.instructions
org.apache.sysml.runtime.instructions.spark
org.apache.sysml.runtime.instructions.spark.utils
org.apache.sysml.runtime.matrix
org.apache.sysml.runtime.matrix.data
org.apache.sysml.udf

Classes in org.apache.sysml.runtime.matrix.data used by org.apache.sysml.api.jmlc

Class and Description
FrameBlock
InputInfo
MatrixBlock

Classes in org.apache.sysml.runtime.matrix.data used by org.apache.sysml.api.mlcontext

Class and Description
FrameBlock
MatrixBlock
MatrixIndexes This represent the indexes to the blocks of the matrix.

Classes in org.apache.sysml.runtime.matrix.data used by org.apache.sysml.runtime.codegen

Class and Description
DenseBlock This DenseBlock is an abstraction for different dense, row-major matrix formats.
MatrixBlock

Classes in org.apache.sysml.runtime.matrix.data used by org.apache.sysml.runtime.compress

Class and Description
CTableMap Ctable map is an abstraction for the hashmap used for ctable's hash group-by because this structure is passed through various interfaces.
IJV Helper class for external key/value exchange.
MatrixBlock
MatrixIndexes This represent the indexes to the blocks of the matrix.
MatrixValue
RandomMatrixGenerator
SparseRow Base class for sparse row implementations such as sparse row vectors and sparse scalars (single value per row).

Classes in org.apache.sysml.runtime.matrix.data used by org.apache.sysml.runtime.compress.estim

Class and Description
MatrixBlock

Classes in org.apache.sysml.runtime.matrix.data used by org.apache.sysml.runtime.compress.utils

Class and Description
MatrixBlock

Classes in org.apache.sysml.runtime.matrix.data used by org.apache.sysml.runtime.instructions

Class and Description
InputInfo
OutputInfo

Classes in org.apache.sysml.runtime.matrix.data used by org.apache.sysml.runtime.instructions.spark

Class and Description
FrameBlock
FrameBlock.ColumnMetadata
InputInfo
MatrixBlock
MatrixCell
MatrixIndexes This represent the indexes to the blocks of the matrix.
OutputInfo
WeightedCell

Classes in org.apache.sysml.runtime.matrix.data used by org.apache.sysml.runtime.instructions.spark.utils

Class and Description
FrameBlock
MatrixBlock
MatrixCell
MatrixIndexes This represent the indexes to the blocks of the matrix.
Pair

Classes in org.apache.sysml.runtime.matrix.data used by org.apache.sysml.runtime.matrix

Class and Description
InputInfo
MatrixBlock
MatrixIndexes This represent the indexes to the blocks of the matrix.
OutputInfo
TaggedMatrixValue
WeightedPair

Classes in org.apache.sysml.runtime.matrix.data used by org.apache.sysml.runtime.matrix.data

Class and Description
AdaptivePartialBlock Writable used in ReblockMR for intermediate results.
Converter
CTableMap Ctable map is an abstraction for the hashmap used for ctable's hash group-by because this structure is passed through various interfaces.
CudaSupportFunctions DESIGN DOCUMENTATION FOR SUPPORTING LOWER PRECISION: 1.
DenseBlock This DenseBlock is an abstraction for different dense, row-major matrix formats.
DenseBlock.Type
DnnParameters This class is container that stores parameters required for executing following operations: conv2d, conv2d_backward_data, conv2d_backward_filter, maxpooling, maxpooling_backward
FrameBlock
FrameBlock.ColumnMetadata
IJV Helper class for external key/value exchange.
InputInfo
LibMatrixBincell.BinaryAccessType
LibMatrixCUDA All CUDA kernels and library calls are redirected through this class
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.
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.
LibMatrixDNN.PoolingType
LibMatrixDNNHelper.CellIndex3
LibMatrixDNNRotate180.Rotate180Worker
MatrixBlock
MatrixBlock.BlockType
MatrixBlock.SparsityEstimate
MatrixCell
MatrixIndexes This represent the indexes to the blocks of the matrix.
MatrixPackedCell
MatrixValue
OutputInfo
Pair
PartialBlock
RandomMatrixGenerator
SparseBlock This SparseBlock is an abstraction for different sparse matrix formats.
SparseBlock.Type
SparseRow Base class for sparse row implementations such as sparse row vectors and sparse scalars (single value per row).
Tagged
TaggedFirstSecondIndexes
TaggedMatrixBlock
TaggedMatrixCell
TaggedMatrixIndexes
TaggedMatrixPackedCell
TaggedMatrixValue
TaggedTripleIndexes
TripleIndexes
WeightedCell
WeightedPair

Classes in org.apache.sysml.runtime.matrix.data used by org.apache.sysml.udf

Class and Description
InputInfo
OutputInfo