| 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 | 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. 
 | 
| LibMatrixTercell | 
 Library for ternary cellwise operations. 
 | 
| 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 | Description | 
|---|---|
| LibMatrixBincell.BinaryAccessType | |
| LibMatrixDNN.PoolingType | |
| RandomMatrixGenerator.PDF | 
 Types of Probability density functions 
 | 
Copyright © 2021 The Apache Software Foundation. All rights reserved.