org.apache.arrow.flatbuf

Class SparseTensorIndexCOO

java.lang.Object

com.google.flatbuffers.Table

org.apache.arrow.flatbuf.SparseTensorIndexCOO

public final class SparseTensorIndexCOO
extends com.google.flatbuffers.Table

Field Summary

Fields inherited from class com.google.flatbuffers.Table

bb, bb_pos, UTF8_CHARSET

Constructor Summary

Constructors

Constructor and Description
SparseTensorIndexCOO()

Method Summary

Modifier and Type	Method and Description
SparseTensorIndexCOO	__assign(int _i, ByteBuffer _bb)
void	__init(int _i, ByteBuffer _bb)
static void	addIndicesBuffer(com.google.flatbuffers.FlatBufferBuilder builder, int indicesBufferOffset)
static int	endSparseTensorIndexCOO(com.google.flatbuffers.FlatBufferBuilder builder)
static SparseTensorIndexCOO	getRootAsSparseTensorIndexCOO(ByteBuffer _bb)
static SparseTensorIndexCOO	getRootAsSparseTensorIndexCOO(ByteBuffer _bb, SparseTensorIndexCOO obj)
Buffer	indicesBuffer() COO's index list are represented as a NxM matrix, where N is the number of non-zero values, and M is the number of dimensions of a sparse tensor.
Buffer	indicesBuffer(Buffer obj)
static void	startSparseTensorIndexCOO(com.google.flatbuffers.FlatBufferBuilder builder)

Methods inherited from class com.google.flatbuffers.Table

__has_identifier, __indirect, __indirect, __offset, __offset, __string, __union, __vector_as_bytebuffer, __vector_in_bytebuffer, __vector_len, __vector, compareStrings, compareStrings, getByteBuffer, keysCompare, sortTables

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

SparseTensorIndexCOO

public SparseTensorIndexCOO()

Method Detail

getRootAsSparseTensorIndexCOO

public static SparseTensorIndexCOO getRootAsSparseTensorIndexCOO(ByteBuffer _bb)

getRootAsSparseTensorIndexCOO

public static SparseTensorIndexCOO getRootAsSparseTensorIndexCOO(ByteBuffer _bb,
                                                                 SparseTensorIndexCOO obj)

__init

public void __init(int _i,
                   ByteBuffer _bb)

__assign

public SparseTensorIndexCOO __assign(int _i,
                                     ByteBuffer _bb)

indicesBuffer

public Buffer indicesBuffer()

COO's index list are represented as a NxM matrix, where N is the number of non-zero values, and M is the number of dimensions of a sparse tensor. indicesBuffer stores the location and size of this index matrix. The type of index value is long, so the stride for the index matrix is unnecessary. For example, let X be a 2x3x4x5 tensor, and it has the following 6 non-zero values: X[0, 1, 2, 0] := 1 X[1, 1, 2, 3] := 2 X[0, 2, 1, 0] := 3 X[0, 1, 3, 0] := 4 X[0, 1, 2, 1] := 5 X[1, 2, 0, 4] := 6 In COO format, the index matrix of X is the following 4x6 matrix: [[0, 0, 0, 0, 1, 1], [1, 1, 1, 2, 1, 2], [2, 2, 3, 1, 2, 0], [0, 1, 0, 0, 3, 4]] Note that the indices are sorted in lexcographical order.

indicesBuffer

public Buffer indicesBuffer(Buffer obj)

startSparseTensorIndexCOO

public static void startSparseTensorIndexCOO(com.google.flatbuffers.FlatBufferBuilder builder)

addIndicesBuffer

public static void addIndicesBuffer(com.google.flatbuffers.FlatBufferBuilder builder,
                                    int indicesBufferOffset)

endSparseTensorIndexCOO

public static int endSparseTensorIndexCOO(com.google.flatbuffers.FlatBufferBuilder builder)