[SPARK-11507][MLLIB] add compact in Matrices fromBreeze

jira: https://issues.apache.org/jira/browse/SPARK-11507
"In certain situations when adding two block matrices, I get an error regarding colPtr and the operation fails. External issue URL includes full error and code for reproducing the problem."

root cause: colPtr.last does NOT always equal to values.length in breeze SCSMatrix, which fails the require in SparseMatrix.

easy step to repro:
```
val m1: BM[Double] = new CSCMatrix[Double] (Array (1.0, 1, 1), 3, 3, Array (0, 1, 2, 3), Array (0, 1, 2) )
val m2: BM[Double] = new CSCMatrix[Double] (Array (1.0, 2, 2, 4), 3, 3, Array (0, 0, 2, 4), Array (1, 2, 1, 2) )
val sum = m1 + m2
Matrices.fromBreeze(sum)
```

Solution: By checking the code in [CSCMatrix](28000a7b90/math/src/main/scala/breeze/linalg/CSCMatrix.scala), CSCMatrix in breeze can have extra zeros in the end of data array. Invoking compact will make sure it aligns with the require of SparseMatrix. This should add limited overhead as the actual compact operation is only performed when necessary.

Author: Yuhao Yang <hhbyyh@gmail.com>

Closes #9520 from hhbyyh/matricesFromBreeze.
This commit is contained in:
Yuhao Yang 2016-03-30 15:58:19 -07:00 committed by Joseph K. Bradley
parent f301df37cb
commit ca458618d8
2 changed files with 21 additions and 1 deletions

View file

@ -940,8 +940,16 @@ object Matrices {
case dm: BDM[Double] =>
new DenseMatrix(dm.rows, dm.cols, dm.data, dm.isTranspose)
case sm: BSM[Double] =>
// Spark-11507. work around breeze issue 479.
val mat = if (sm.colPtrs.last != sm.data.length) {
val matCopy = sm.copy
matCopy.compact()
matCopy
} else {
sm
}
// There is no isTranspose flag for sparse matrices in Breeze
new SparseMatrix(sm.rows, sm.cols, sm.colPtrs, sm.rowIndices, sm.data)
new SparseMatrix(mat.rows, mat.cols, mat.colPtrs, mat.rowIndices, mat.data)
case _ =>
throw new UnsupportedOperationException(
s"Do not support conversion from type ${breeze.getClass.getName}.")

View file

@ -19,6 +19,7 @@ package org.apache.spark.mllib.linalg
import java.util.Random
import breeze.linalg.{CSCMatrix, Matrix => BM}
import org.mockito.Mockito.when
import org.scalatest.mock.MockitoSugar._
import scala.collection.mutable.{Map => MutableMap}
@ -499,6 +500,17 @@ class MatricesSuite extends SparkFunSuite {
assert(sm1.numActives === 3)
}
test("fromBreeze with sparse matrix") {
// colPtr.last does NOT always equal to values.length in breeze SCSMatrix and
// invocation of compact() may be necessary. Refer to SPARK-11507
val bm1: BM[Double] = new CSCMatrix[Double](
Array(1.0, 1, 1), 3, 3, Array(0, 1, 2, 3), Array(0, 1, 2))
val bm2: BM[Double] = new CSCMatrix[Double](
Array(1.0, 2, 2, 4), 3, 3, Array(0, 0, 2, 4), Array(1, 2, 1, 2))
val sum = bm1 + bm2
Matrices.fromBreeze(sum)
}
test("row/col iterator") {
val dm = new DenseMatrix(3, 2, Array(0, 1, 2, 3, 4, 0))
val sm = dm.toSparse