| Modifier and Type | Method and Description |
|---|---|
Buffer |
Buffer.__assign(int _i,
ByteBuffer _bb) |
Buffer |
RecordBatch.buffers(Buffer obj,
int j) |
Buffer |
RecordBatch.buffers(int j)
Buffers correspond to the pre-ordered flattened buffer tree
The number of buffers appended to this list depends on the schema.
|
Buffer |
SparseTensor.data()
The location and size of the tensor's data
|
Buffer |
Tensor.data()
The location and size of the tensor's data
|
Buffer |
SparseTensor.data(Buffer obj) |
Buffer |
Tensor.data(Buffer obj) |
Buffer |
SparseMatrixIndexCSR.indicesBuffer()
indicesBuffer stores the location and size of the array that
contains the column indices of the corresponding non-zero values.
|
Buffer |
SparseTensorIndexCOO.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 |
SparseMatrixIndexCSR.indicesBuffer(Buffer obj) |
Buffer |
SparseTensorIndexCOO.indicesBuffer(Buffer obj) |
Buffer |
SparseMatrixIndexCSR.indptrBuffer()
indptrBuffer stores the location and size of indptr array that
represents the range of the rows.
|
Buffer |
SparseMatrixIndexCSR.indptrBuffer(Buffer obj) |
| Modifier and Type | Method and Description |
|---|---|
Buffer |
RecordBatch.buffers(Buffer obj,
int j) |
Buffer |
SparseTensor.data(Buffer obj) |
Buffer |
Tensor.data(Buffer obj) |
Buffer |
SparseMatrixIndexCSR.indicesBuffer(Buffer obj) |
Buffer |
SparseTensorIndexCOO.indicesBuffer(Buffer obj) |
Buffer |
SparseMatrixIndexCSR.indptrBuffer(Buffer obj) |
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