use of org.apache.sysml.runtime.instructions.spark.functions.OuterVectorBinaryOpFunction in project incubator-systemml by apache.
the class BinarySPInstruction method processMatrixBVectorBinaryInstruction.
protected void processMatrixBVectorBinaryInstruction(ExecutionContext ec, VectorType vtype) {
SparkExecutionContext sec = (SparkExecutionContext) ec;
// sanity check dimensions
checkMatrixMatrixBinaryCharacteristics(sec);
// get input RDDs
String rddVar = input1.getName();
String bcastVar = input2.getName();
JavaPairRDD<MatrixIndexes, MatrixBlock> in1 = sec.getBinaryBlockRDDHandleForVariable(rddVar);
PartitionedBroadcast<MatrixBlock> in2 = sec.getBroadcastForVariable(bcastVar);
MatrixCharacteristics mc1 = sec.getMatrixCharacteristics(rddVar);
MatrixCharacteristics mc2 = sec.getMatrixCharacteristics(bcastVar);
BinaryOperator bop = (BinaryOperator) _optr;
boolean isOuter = (mc1.getRows() > 1 && mc1.getCols() == 1 && mc2.getRows() == 1 && mc2.getCols() > 1);
// execute map binary operation
JavaPairRDD<MatrixIndexes, MatrixBlock> out = null;
if (isOuter) {
out = in1.flatMapToPair(new OuterVectorBinaryOpFunction(bop, in2));
} else {
// default
// note: we use mappartition in order to preserve partitioning information for
// binary mv operations where the keys are guaranteed not to change, the reason
// why we cannot use mapValues is the need for broadcast key lookups.
// alternative: out = in1.mapToPair(new MatrixVectorBinaryOpFunction(bop, in2, vtype));
out = in1.mapPartitionsToPair(new MatrixVectorBinaryOpPartitionFunction(bop, in2, vtype), true);
}
// set output RDD
updateBinaryOutputMatrixCharacteristics(sec);
sec.setRDDHandleForVariable(output.getName(), out);
sec.addLineageRDD(output.getName(), rddVar);
sec.addLineageBroadcast(output.getName(), bcastVar);
}
use of org.apache.sysml.runtime.instructions.spark.functions.OuterVectorBinaryOpFunction in project systemml by apache.
the class BinarySPInstruction method processMatrixBVectorBinaryInstruction.
protected void processMatrixBVectorBinaryInstruction(ExecutionContext ec, VectorType vtype) {
SparkExecutionContext sec = (SparkExecutionContext) ec;
// sanity check dimensions
checkMatrixMatrixBinaryCharacteristics(sec);
// get input RDDs
String rddVar = input1.getName();
String bcastVar = input2.getName();
JavaPairRDD<MatrixIndexes, MatrixBlock> in1 = sec.getBinaryBlockRDDHandleForVariable(rddVar);
PartitionedBroadcast<MatrixBlock> in2 = sec.getBroadcastForVariable(bcastVar);
MatrixCharacteristics mc1 = sec.getMatrixCharacteristics(rddVar);
MatrixCharacteristics mc2 = sec.getMatrixCharacteristics(bcastVar);
BinaryOperator bop = (BinaryOperator) _optr;
boolean isOuter = (mc1.getRows() > 1 && mc1.getCols() == 1 && mc2.getRows() == 1 && mc2.getCols() > 1);
// execute map binary operation
JavaPairRDD<MatrixIndexes, MatrixBlock> out = null;
if (isOuter) {
out = in1.flatMapToPair(new OuterVectorBinaryOpFunction(bop, in2));
} else {
// default
// note: we use mappartition in order to preserve partitioning information for
// binary mv operations where the keys are guaranteed not to change, the reason
// why we cannot use mapValues is the need for broadcast key lookups.
// alternative: out = in1.mapToPair(new MatrixVectorBinaryOpFunction(bop, in2, vtype));
out = in1.mapPartitionsToPair(new MatrixVectorBinaryOpPartitionFunction(bop, in2, vtype), true);
}
// set output RDD
updateBinaryOutputMatrixCharacteristics(sec);
sec.setRDDHandleForVariable(output.getName(), out);
sec.addLineageRDD(output.getName(), rddVar);
sec.addLineageBroadcast(output.getName(), bcastVar);
}
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