public class SparseBlockCSR extends SparseBlock
SparseBlock.Type| Constructor and Description |
|---|
SparseBlockCSR(int rlen) |
SparseBlockCSR(int[] rowPtr,
int[] colInd,
double[] values,
int nnz) |
SparseBlockCSR(int rlen,
int capacity) |
SparseBlockCSR(int rows,
int[] rowInd,
int[] colInd,
double[] values)
Copy constructor for COO representation
|
SparseBlockCSR(int rlen,
int capacity,
int size) |
SparseBlockCSR(int rows,
int nnz,
int[] colInd)
Copy constructor for given array of column indexes, which
identifies rows by position and implies values of 1.
|
SparseBlockCSR(SparseBlock sblock)
Copy constructor sparse block abstraction.
|
SparseBlockCSR(SparseRow[] rows,
int nnz)
Copy constructor old sparse row representation.
|
| Modifier and Type | Method and Description |
|---|---|
boolean |
add(int r,
int c,
double v)
Add a value to a matrix cell (r,c).
|
void |
allocate(int r)
Allocate the underlying data structure holding non-zero values
of row r if necessary.
|
void |
allocate(int r,
int nnz)
Allocate the underlying data structure holding non-zero values
of row r if necessary, w/ given size.
|
void |
allocate(int r,
int ennz,
int maxnnz)
Allocate the underlying data structure holding non-zero values
of row r w/ the specified estimated nnz and max nnz.
|
void |
append(int r,
int c,
double v)
Append a value to the end of the physical representation.
|
boolean |
checkValidity(int rlen,
int clen,
long nnz,
boolean strict)
Validate the correctness of the internal data structures of the different
sparse block implementations.
|
void |
compact(int r)
Re-allocate physical row if physical size exceeds
logical size plus resize factor.
|
void |
deleteIndexRange(int r,
int cl,
int cu)
Deletes all non-zero values of the given column range [cl,cu) in row r.
|
static long |
estimateSizeInMemory(long nrows,
long ncols,
double sparsity)
Get the estimated in-memory size of the sparse block in CSR
with the given dimensions w/o accounting for overallocation.
|
SparseRow |
get(int r)
Get values of row r in the format of a sparse row.
|
double |
get(int r,
int c)
Get value of matrix cell (r,c).
|
int[] |
indexes()
Get raw access to underlying array of column indices
For use in GPU code
|
int[] |
indexes(int r)
Get the sorted array of column indexes of all non-zero entries in
row r.
|
void |
initSparse(int rlen,
int nnz,
DataInput in)
Initializes the CSR sparse block from an ordered input
stream of sparse rows (rownnz, jv-pairs*).
|
void |
initUltraSparse(int nnz,
DataInput in)
Initializes the CSR sparse block from an ordered input
stream of ultra-sparse ijv triples.
|
boolean |
isAllocated(int r)
Indicates if the underlying data structure for a given row
is already allocated.
|
boolean |
isContiguous()
Indicates if the underlying data structures returned by values
and indexes are contiguous arrays, which can be exploited for
more efficient operations.
|
boolean |
isEmpty(int r)
Get information if row r is empty, i.e., does not contain non-zero
values.
|
boolean |
isThreadSafe()
Indicates if the underlying implementation allows thread-safe row
updates if concurrent threads update disjoint rows.
|
int |
numRows()
Get the number of rows in the sparse block.
|
int |
pos(int r)
Get the starting position of row r in the indexes/values arrays returned
by indexes(r) and values(r).
|
int |
posFIndexGT(int r,
int c)
Get position of first column index greater than column c in row r.
|
int |
posFIndexGTE(int r,
int c)
Get position of first column index greater than or equal column c
in row r.
|
int |
posFIndexLTE(int r,
int c)
Get position of first column index lower than or equal column c
in row r.
|
void |
reset()
Clears the sparse block by deleting non-zero values.
|
void |
reset(int ennz,
int maxnnz)
Clears the sparse block by deleting non-zero values.
|
void |
reset(int r,
int ennz,
int maxnnz)
Clears row r of the sparse block by deleting non-zero values.
|
int[] |
rowPointers()
Get raw access to underlying array of row pointers
For use in GPU code
|
boolean |
set(int r,
int c,
double v)
Set the value of a matrix cell (r,c).
|
void |
set(int r,
SparseRow row,
boolean deep)
Set the values of row r to the given sparse row.
|
void |
setIndexRange(int r,
int cl,
int cu,
double[] v,
int[] vix,
int vpos,
int vlen)
Sets a sparse array of non-zeros values and indexes into the column range [cl,cu)
in row r.
|
void |
setIndexRange(int r,
int cl,
int cu,
double[] v,
int vix,
int vlen)
Sets a dense array of non-zeros values into the column range [cl,cu)
in row r.
|
void |
setIndexRange(int rl,
int ru,
int cl,
int cu,
double[] v,
int vix,
int vlen)
Inserts a sorted row-major array of non-zero values into the row and column
range [rl,ru) and [cl,cu).
|
void |
setIndexRange(int rl,
int ru,
int cl,
int cu,
SparseBlock sb)
Inserts a sparse block into the row and column range [rl,ru) and [cl,cu).
|
long |
size()
Get the number of non-zero values in the sparse block.
|
int |
size(int r)
Get the number of non-zero values in row r.
|
long |
size(int rl,
int ru)
Get the number of non-zeros values in the row range
of [rl, ru).
|
long |
size(int rl,
int ru,
int cl,
int cu)
Get the number of non-zeros values in the row and column
range of [rl/cl, ru/cu);
|
void |
sort()
Sort all non-zero value/index pairs of the sparse block by row
and column index.
|
void |
sort(int r)
Sort all non-zero value/index pairs of row r column index.
|
String |
toString() |
double[] |
values()
Get raw access to underlying array of values
For use in GPU code
|
double[] |
values(int r)
Get the array of all non-zero entries in row r, sorted by their column
indexes.
|
getIterator, getIterator, getIterator, isAligned, isAlignedpublic SparseBlockCSR(int rlen)
public SparseBlockCSR(int rlen,
int capacity)
public SparseBlockCSR(int rlen,
int capacity,
int size)
public SparseBlockCSR(int[] rowPtr,
int[] colInd,
double[] values,
int nnz)
public SparseBlockCSR(SparseBlock sblock)
sblock - sparse block to copypublic SparseBlockCSR(SparseRow[] rows, int nnz)
rows - array of sparse rowsnnz - number of non-zeroespublic SparseBlockCSR(int rows,
int[] rowInd,
int[] colInd,
double[] values)
rows - number of rowsrowInd - row indicescolInd - column indicesvalues - non zero valuespublic SparseBlockCSR(int rows,
int nnz,
int[] colInd)
rows - number of rowsnnz - number of non-zeroscolInd - column indexespublic void initUltraSparse(int nnz,
DataInput in)
throws IOException
nnz - number of non-zeros to readin - data input stream of ijv triples, ordered by ijIOException - if deserialization error occurspublic void initSparse(int rlen,
int nnz,
DataInput in)
throws IOException
rlen - number of rowsnnz - number of non-zeros to readin - data input stream of sparse rows, ordered by iIOException - if deserialization error occurspublic static long estimateSizeInMemory(long nrows,
long ncols,
double sparsity)
nrows - number of rowsncols - number of columnssparsity - sparsity ratiopublic int[] rowPointers()
public int[] indexes()
public double[] values()
public void allocate(int r)
SparseBlockallocate in class SparseBlockr - row indexpublic void allocate(int r,
int nnz)
SparseBlockallocate in class SparseBlockr - row indexnnz - number of non-zerospublic void allocate(int r,
int ennz,
int maxnnz)
SparseBlockallocate in class SparseBlockr - row indexennz - estimated non-zerosmaxnnz - max non-zerospublic void compact(int r)
SparseBlockcompact in class SparseBlockr - row indexpublic int numRows()
SparseBlocknumRows in class SparseBlockpublic boolean isThreadSafe()
SparseBlockisThreadSafe in class SparseBlockpublic boolean isContiguous()
SparseBlockisContiguous in class SparseBlockpublic boolean isAllocated(int r)
SparseBlockisAllocated in class SparseBlockr - row indexpublic void reset()
SparseBlockreset in class SparseBlockpublic void reset(int ennz,
int maxnnz)
SparseBlockreset in class SparseBlockennz - estimated non-zerosmaxnnz - max non-zerospublic void reset(int r,
int ennz,
int maxnnz)
SparseBlockreset in class SparseBlockr - row indexennz - estimated non-zerosmaxnnz - max non-zerospublic long size()
SparseBlocksize in class SparseBlockpublic int size(int r)
SparseBlocksize in class SparseBlockr - row index starting at 0public long size(int rl,
int ru)
SparseBlocksize in class SparseBlockrl - row lower indexru - row upper indexpublic long size(int rl,
int ru,
int cl,
int cu)
SparseBlocksize in class SparseBlockrl - row lower indexru - row upper indexcl - column lower indexcu - column upper indexpublic boolean isEmpty(int r)
SparseBlockisEmpty in class SparseBlockr - row index starting at 0public int[] indexes(int r)
SparseBlockindexes in class SparseBlockr - row index starting at 0public double[] values(int r)
SparseBlockvalues in class SparseBlockr - row index starting at 0public int pos(int r)
SparseBlockpos in class SparseBlockr - row index starting at 0public boolean set(int r,
int c,
double v)
SparseBlockset in class SparseBlockr - row index starting at 0c - column index starting at 0v - zero or non-zero valuepublic boolean add(int r,
int c,
double v)
SparseBlockadd in class SparseBlockr - row index starting at 0c - column index starting at 0v - zero or non-zero valuepublic void set(int r,
SparseRow row,
boolean deep)
SparseBlockset in class SparseBlockr - row index starting at 0row - sparse rowdeep - indicator to create deep copy of sparse rowpublic void append(int r,
int c,
double v)
SparseBlockappend in class SparseBlockr - row index starting at 0c - column index starting at 0v - zero or non-zero valuepublic void setIndexRange(int r,
int cl,
int cu,
double[] v,
int vix,
int vlen)
SparseBlocksetIndexRange in class SparseBlockr - row index starting at 0cl - lower column index starting at 0cu - upper column index starting at 0v - value arrayvix - start index in value arrayvlen - number of relevant valuespublic void setIndexRange(int r,
int cl,
int cu,
double[] v,
int[] vix,
int vpos,
int vlen)
SparseBlocksetIndexRange in class SparseBlockr - row index starting at 0cl - lower column index starting at 0cu - upper column index starting at 0v - value arrayvix - column index arrayvpos - start index in value and index arraysvlen - number of relevant valuespublic void setIndexRange(int rl,
int ru,
int cl,
int cu,
double[] v,
int vix,
int vlen)
rl - lower row index, starting at 0, inclusiveru - upper row index, starting at 0, exclusivecl - lower column index, starting at 0, inclusivecu - upper column index, starting at 0, exclusivev - right-hand-side dense blockvix - right-hand-side dense block indexvlen - right-hand-side dense block value lengthpublic void setIndexRange(int rl,
int ru,
int cl,
int cu,
SparseBlock sb)
rl - lower row index, starting at 0, inclusiveru - upper row index, starting at 0, exclusivecl - lower column index, starting at 0, inclusivecu - upper column index, starting at 0, exclusivesb - right-hand-side sparse blockpublic void deleteIndexRange(int r,
int cl,
int cu)
SparseBlockdeleteIndexRange in class SparseBlockr - row index starting at 0cl - lower column index starting at 0cu - upper column index starting at 0public void sort()
SparseBlocksort in class SparseBlockpublic void sort(int r)
SparseBlocksort in class SparseBlockr - row index starting at 0public double get(int r,
int c)
SparseBlockget in class SparseBlockr - row index starting at 0c - column index starting at 0public SparseRow get(int r)
SparseBlockget in class SparseBlockr - row index starting at 0public int posFIndexLTE(int r,
int c)
SparseBlockposFIndexLTE in class SparseBlockr - row index starting at 0c - column index starting at 0public int posFIndexGTE(int r,
int c)
SparseBlockposFIndexGTE in class SparseBlockr - row index starting at 0c - column index starting at 0public int posFIndexGT(int r,
int c)
SparseBlockposFIndexGT in class SparseBlockr - row index starting at 0c - column index starting at 0public String toString()
toString in class SparseBlockpublic boolean checkValidity(int rlen,
int clen,
long nnz,
boolean strict)
SparseBlockcheckValidity in class SparseBlockrlen - number of rowsclen - number of columnsnnz - number of non zerosstrict - enforce optional propertiesCopyright © 2021 The Apache Software Foundation. All rights reserved.