Class and Description |
---|
FrameBlock |
InputInfo |
MatrixBlock |
Class and Description |
---|
FrameBlock |
MatrixBlock |
MatrixIndexes
This represent the indexes to the blocks of the matrix.
|
Class and Description |
---|
MatrixBlock |
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).
|
Class and Description |
---|
MatrixBlock |
Class and Description |
---|
MatrixBlock |
Class and Description |
---|
InputInfo |
OutputInfo |
Class and Description |
---|
FileFormatProperties |
FrameBlock |
FrameBlock.ColumnMetadata |
InputInfo |
MatrixBlock |
MatrixCell |
MatrixIndexes
This represent the indexes to the blocks of the matrix.
|
OutputInfo |
WeightedCell |
Class and Description |
---|
CSVFileFormatProperties |
FrameBlock |
MatrixBlock |
MatrixCell |
MatrixIndexes
This represent the indexes to the blocks of the matrix.
|
Pair |
Class and Description |
---|
InputInfo |
MatrixBlock |
MatrixIndexes
This represent the indexes to the blocks of the matrix.
|
OutputInfo |
TaggedMatrixValue |
WeightedPair |
Class and Description |
---|
AdaptivePartialBlock
Writable used in ReblockMR for intermediate results.
|
Converter |
ConvolutionParameters
This class is container that stores parameters required for executing following operations:
conv2d, conv2d_backward_data, conv2d_backward_filter, maxpooling, maxpooling_backward
|
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.
|
FileFormatProperties |
FileFormatProperties.FileFormat |
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.
|
LibMatrixDNNConv2dHelper.LoopedIm2ColConv2dAllChan
Performs convolution via: partialCopy1(filter %*% im2col(input)) = output
|
LibMatrixDNNPoolingBackwardHelper.PoolingBackwardSparseDense
Performs the maxpooling backward operation for sparse input and dense error (dout)
|
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 |
Class and Description |
---|
InputInfo |
OutputInfo |
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