Examples with CombineUnary org.apache.sysml.lops.CombineUnary used on opensource projects

Example 1 with CombineUnary

use of org.apache.sysml.lops.CombineUnary in project incubator-systemml by apache.

the class UnaryOp method constructLopsMedian.

private Lop constructLopsMedian() throws HopsException, LopsException {
    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;
    }
}

Example 2 with CombineUnary

use of org.apache.sysml.lops.CombineUnary in project incubator-systemml by apache.

the class UnaryOp method constructLopsIQM.

private Lop constructLopsIQM() throws HopsException, LopsException {
    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.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;
    }
}

Example 3 with CombineUnary

use of org.apache.sysml.lops.CombineUnary in project incubator-systemml by apache.

the class BinaryOp method constructLopsQuantile.

private void constructLopsQuantile(ExecType et) throws HopsException, LopsException {
    // 1st arguments needs to be a 1-dimensional matrix
    // For QUANTILE: 2nd argument is scalar or 1-dimensional matrix
    // For INTERQUANTILE: 2nd argument is always a scalar
    PickByCount.OperationTypes pick_op = null;
    if (op == Hop.OpOp2.QUANTILE)
        pick_op = PickByCount.OperationTypes.VALUEPICK;
    else
        pick_op = PickByCount.OperationTypes.RANGEPICK;
    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 = (getInput().get(1).getDataType() == DataType.SCALAR ? ExecType.CP : ExecType.MR);
        PickByCount pick = new PickByCount(sort, getInput().get(1).constructLops(), getDataType(), getValueType(), pick_op, et_pick, false);
        pick.getOutputParameters().setDimensions(getDim1(), getDim2(), getRowsInBlock(), getColsInBlock(), getNnz());
        pick.setAllPositions(this.getBeginLine(), this.getBeginColumn(), this.getEndLine(), this.getEndColumn());
        setLops(pick);
    } else //CP/SPARK 
    {
        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, getInput().get(1).constructLops(), getDataType(), getValueType(), pick_op, et, true);
        setOutputDimensions(pick);
        setLineNumbers(pick);
        setLops(pick);
    }
}