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[SPARK-1535] ALS: Avoid the garbage-creating ctor of DoubleMatrix #442

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[SPARK-1535] ALS: Avoid the garbage-creating ctor of DoubleMatrix #442

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a09904f
Helper function for wrapping Array[Double]'s with DoubleMatrix's.
tmyklebu Apr 18, 2014
2784fc5
Mention that this is probably fixed as of jblas 1.2.4; repunctuate.
tmyklebu Apr 18, 2014
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13 changes: 11 additions & 2 deletions mllib/src/main/scala/org/apache/spark/mllib/recommendation/ALS.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -267,7 +267,7 @@ class ALS private (
private def computeYtY(factors: RDD[(Int, Array[Array[Double]])]) = {
val n = rank * (rank + 1) / 2
val LYtY = factors.values.aggregate(new DoubleMatrix(n))( seqOp = (L, Y) => {
Y.foreach(y => dspr(1.0, new DoubleMatrix(y), L))
Y.foreach(y => dspr(1.0, wrapDoubleArray(y), L))
L
}, combOp = (L1, L2) => {
L1.addi(L2)
Expand Down Expand Up @@ -302,6 +302,15 @@ class ALS private (
}
}

/**
* Wrap a double array in a DoubleMatrix without creating garbage.
* This is a temporary fix for jblas 1.2.3; it should be safe to move back to the
* DoubleMatrix(double[]) constructor come jblas 1.2.4.
*/
private def wrapDoubleArray(v: Array[Double]): DoubleMatrix = {
new DoubleMatrix(v.length, 1, v: _*)
}

/**
* Flatten out blocked user or product factors into an RDD of (id, factor vector) pairs
*/
Expand Down Expand Up @@ -455,7 +464,7 @@ class ALS private (
// block
for (productBlock <- 0 until numBlocks) {
for (p <- 0 until blockFactors(productBlock).length) {
val x = new DoubleMatrix(blockFactors(productBlock)(p))
val x = wrapDoubleArray(blockFactors(productBlock)(p))
tempXtX.fill(0.0)
dspr(1.0, x, tempXtX)
val (us, rs) = inLinkBlock.ratingsForBlock(productBlock)(p)
Expand Down