use of org.apache.sysml.lops.SortKeys in project incubator-systemml by apache.
the class UnaryOp method constructLopsMedian.
private Lop constructLopsMedian() {
ExecType et = optFindExecType();
if (et == ExecType.MR) {
CombineUnary combine = CombineUnary.constructCombineLop(getInput().get(0).constructLops(), getDataType(), getValueType());
SortKeys sort = SortKeys.constructSortByValueLop(combine, SortKeys.OperationTypes.WithoutWeights, DataType.MATRIX, ValueType.DOUBLE, et);
combine.getOutputParameters().setDimensions(getDim1(), getDim2(), getRowsInBlock(), getColsInBlock(), getNnz());
// Sort dimensions are same as the first input
sort.getOutputParameters().setDimensions(getInput().get(0).getDim1(), getInput().get(0).getDim2(), getInput().get(0).getRowsInBlock(), getInput().get(0).getColsInBlock(), getInput().get(0).getNnz());
// If only a single quantile is computed, then "pick" operation executes in CP.
ExecType et_pick = ExecType.CP;
PickByCount pick = new PickByCount(sort, Data.createLiteralLop(ValueType.DOUBLE, Double.toString(0.5)), getDataType(), getValueType(), PickByCount.OperationTypes.MEDIAN, et_pick, false);
pick.getOutputParameters().setDimensions(getDim1(), getDim2(), getRowsInBlock(), getColsInBlock(), getNnz());
setLineNumbers(pick);
return pick;
} else {
SortKeys sort = SortKeys.constructSortByValueLop(getInput().get(0).constructLops(), SortKeys.OperationTypes.WithoutWeights, DataType.MATRIX, ValueType.DOUBLE, et);
sort.getOutputParameters().setDimensions(getInput().get(0).getDim1(), getInput().get(0).getDim2(), getInput().get(0).getRowsInBlock(), getInput().get(0).getColsInBlock(), getInput().get(0).getNnz());
PickByCount pick = new PickByCount(sort, Data.createLiteralLop(ValueType.DOUBLE, Double.toString(0.5)), getDataType(), getValueType(), PickByCount.OperationTypes.MEDIAN, et, true);
pick.getOutputParameters().setDimensions(getDim1(), getDim2(), getRowsInBlock(), getColsInBlock(), getNnz());
setLineNumbers(pick);
setLops(pick);
return pick;
}
}
use of org.apache.sysml.lops.SortKeys in project incubator-systemml by apache.
the class UnaryOp method constructLopsIQM.
private Lop constructLopsIQM() {
ExecType et = optFindExecType();
Hop input = getInput().get(0);
if (et == ExecType.MR) {
CombineUnary combine = CombineUnary.constructCombineLop(input.constructLops(), DataType.MATRIX, getValueType());
combine.getOutputParameters().setDimensions(input.getDim1(), input.getDim2(), input.getRowsInBlock(), input.getColsInBlock(), input.getNnz());
SortKeys sort = SortKeys.constructSortByValueLop(combine, SortKeys.OperationTypes.WithoutWeights, DataType.MATRIX, ValueType.DOUBLE, ExecType.MR);
// Sort dimensions are same as the first input
sort.getOutputParameters().setDimensions(input.getDim1(), input.getDim2(), input.getRowsInBlock(), input.getColsInBlock(), input.getNnz());
Data lit = Data.createLiteralLop(ValueType.DOUBLE, Double.toString(0.25));
lit.setAllPositions(this.getFilename(), this.getBeginLine(), this.getBeginColumn(), this.getEndLine(), this.getEndColumn());
PickByCount pick = new PickByCount(sort, lit, DataType.MATRIX, getValueType(), PickByCount.OperationTypes.RANGEPICK);
pick.getOutputParameters().setDimensions(-1, -1, getRowsInBlock(), getColsInBlock(), -1);
setLineNumbers(pick);
PartialAggregate pagg = new PartialAggregate(pick, HopsAgg2Lops.get(Hop.AggOp.SUM), HopsDirection2Lops.get(Hop.Direction.RowCol), DataType.MATRIX, getValueType());
setLineNumbers(pagg);
// Set the dimensions of PartialAggregate LOP based on the
// direction in which aggregation is performed
pagg.setDimensionsBasedOnDirection(getDim1(), getDim2(), getRowsInBlock(), getColsInBlock());
Group group1 = new Group(pagg, Group.OperationTypes.Sort, DataType.MATRIX, getValueType());
group1.getOutputParameters().setDimensions(getDim1(), getDim2(), getRowsInBlock(), getColsInBlock(), getNnz());
setLineNumbers(group1);
Aggregate agg1 = new Aggregate(group1, HopsAgg2Lops.get(Hop.AggOp.SUM), DataType.MATRIX, getValueType(), ExecType.MR);
agg1.getOutputParameters().setDimensions(getDim1(), getDim2(), getRowsInBlock(), getColsInBlock(), getNnz());
agg1.setupCorrectionLocation(pagg.getCorrectionLocation());
setLineNumbers(agg1);
UnaryCP unary1 = new UnaryCP(agg1, HopsOpOp1LopsUS.get(OpOp1.CAST_AS_SCALAR), getDataType(), getValueType());
unary1.getOutputParameters().setDimensions(0, 0, 0, 0, -1);
setLineNumbers(unary1);
Unary iqm = new Unary(sort, unary1, Unary.OperationTypes.MR_IQM, DataType.SCALAR, ValueType.DOUBLE, ExecType.CP);
iqm.getOutputParameters().setDimensions(0, 0, 0, 0, -1);
setLineNumbers(iqm);
return iqm;
} else {
SortKeys sort = SortKeys.constructSortByValueLop(input.constructLops(), SortKeys.OperationTypes.WithoutWeights, DataType.MATRIX, ValueType.DOUBLE, et);
sort.getOutputParameters().setDimensions(input.getDim1(), input.getDim2(), input.getRowsInBlock(), input.getColsInBlock(), input.getNnz());
PickByCount pick = new PickByCount(sort, null, getDataType(), getValueType(), PickByCount.OperationTypes.IQM, et, true);
pick.getOutputParameters().setDimensions(getDim1(), getDim2(), getRowsInBlock(), getColsInBlock(), getNnz());
setLineNumbers(pick);
return pick;
}
}
Aggregations