Examples with AggregateUnaryOperator org.apache.sysml.runtime.matrix.operators.AggregateUnaryOperator used on opensource projects

Example 6 with AggregateUnaryOperator

use of org.apache.sysml.runtime.matrix.operators.AggregateUnaryOperator in project incubator-systemml by apache.

the class MatrixCharacteristics method computeDimension.

public static void computeDimension(HashMap<Byte, MatrixCharacteristics> dims, MRInstruction ins) throws DMLRuntimeException {
    MatrixCharacteristics dimOut = dims.get(ins.output);
    if (dimOut == null) {
        dimOut = new MatrixCharacteristics();
        dims.put(ins.output, dimOut);
    }
    if (ins instanceof ReorgInstruction) {
        ReorgInstruction realIns = (ReorgInstruction) ins;
        reorg(dims.get(realIns.input), (ReorgOperator) realIns.getOperator(), dimOut);
    } else if (ins instanceof AppendInstruction) {
        AppendInstruction realIns = (AppendInstruction) ins;
        MatrixCharacteristics in_dim1 = dims.get(realIns.input1);
        MatrixCharacteristics in_dim2 = dims.get(realIns.input2);
        if (realIns.isCBind())
            dimOut.set(in_dim1.numRows, in_dim1.numColumns + in_dim2.numColumns, in_dim1.numRowsPerBlock, in_dim2.numColumnsPerBlock);
        else
            dimOut.set(in_dim1.numRows + in_dim2.numRows, in_dim1.numColumns, in_dim1.numRowsPerBlock, in_dim2.numColumnsPerBlock);
    } else if (ins instanceof CumulativeAggregateInstruction) {
        AggregateUnaryInstruction realIns = (AggregateUnaryInstruction) ins;
        MatrixCharacteristics in = dims.get(realIns.input);
        dimOut.set((long) Math.ceil((double) in.getRows() / in.getRowsPerBlock()), in.getCols(), in.getRowsPerBlock(), in.getColsPerBlock());
    } else if (ins instanceof AggregateUnaryInstruction) {
        AggregateUnaryInstruction realIns = (AggregateUnaryInstruction) ins;
        aggregateUnary(dims.get(realIns.input), (AggregateUnaryOperator) realIns.getOperator(), dimOut);
    } else if (ins instanceof AggregateBinaryInstruction) {
        AggregateBinaryInstruction realIns = (AggregateBinaryInstruction) ins;
        aggregateBinary(dims.get(realIns.input1), dims.get(realIns.input2), (AggregateBinaryOperator) realIns.getOperator(), dimOut);
    } else if (ins instanceof MapMultChainInstruction) {
        //output size independent of chain type
        MapMultChainInstruction realIns = (MapMultChainInstruction) ins;
        MatrixCharacteristics mc1 = dims.get(realIns.getInput1());
        MatrixCharacteristics mc2 = dims.get(realIns.getInput2());
        dimOut.set(mc1.numColumns, mc2.numColumns, mc1.numRowsPerBlock, mc1.numColumnsPerBlock);
    } else if (ins instanceof QuaternaryInstruction) {
        QuaternaryInstruction realIns = (QuaternaryInstruction) ins;
        MatrixCharacteristics mc1 = dims.get(realIns.getInput1());
        MatrixCharacteristics mc2 = dims.get(realIns.getInput2());
        MatrixCharacteristics mc3 = dims.get(realIns.getInput3());
        realIns.computeMatrixCharacteristics(mc1, mc2, mc3, dimOut);
    } else if (ins instanceof ReblockInstruction) {
        ReblockInstruction realIns = (ReblockInstruction) ins;
        MatrixCharacteristics in_dim = dims.get(realIns.input);
        dimOut.set(in_dim.numRows, in_dim.numColumns, realIns.brlen, realIns.bclen, in_dim.nonZero);
    } else if (ins instanceof MatrixReshapeMRInstruction) {
        MatrixReshapeMRInstruction mrinst = (MatrixReshapeMRInstruction) ins;
        MatrixCharacteristics in_dim = dims.get(mrinst.input);
        dimOut.set(mrinst.getNumRows(), mrinst.getNumColunms(), in_dim.getRowsPerBlock(), in_dim.getColsPerBlock(), in_dim.getNonZeros());
    } else if (ins instanceof RandInstruction || ins instanceof SeqInstruction) {
        DataGenMRInstruction dataIns = (DataGenMRInstruction) ins;
        dimOut.set(dims.get(dataIns.getInput()));
    } else if (ins instanceof ReplicateInstruction) {
        ReplicateInstruction realIns = (ReplicateInstruction) ins;
        realIns.computeOutputDimension(dims.get(realIns.input), dimOut);
    } else if (//before unary
    ins instanceof ParameterizedBuiltinMRInstruction) {
        ParameterizedBuiltinMRInstruction realIns = (ParameterizedBuiltinMRInstruction) ins;
        realIns.computeOutputCharacteristics(dims.get(realIns.input), dimOut);
    } else if (ins instanceof ScalarInstruction || ins instanceof AggregateInstruction || (ins instanceof UnaryInstruction && !(ins instanceof MMTSJMRInstruction)) || ins instanceof ZeroOutInstruction) {
        UnaryMRInstructionBase realIns = (UnaryMRInstructionBase) ins;
        dimOut.set(dims.get(realIns.input));
    } else if (ins instanceof MMTSJMRInstruction) {
        MMTSJMRInstruction mmtsj = (MMTSJMRInstruction) ins;
        MMTSJType tstype = mmtsj.getMMTSJType();
        MatrixCharacteristics mc = dims.get(mmtsj.input);
        dimOut.set(tstype.isLeft() ? mc.numColumns : mc.numRows, tstype.isLeft() ? mc.numColumns : mc.numRows, mc.numRowsPerBlock, mc.numColumnsPerBlock);
    } else if (ins instanceof PMMJMRInstruction) {
        PMMJMRInstruction pmmins = (PMMJMRInstruction) ins;
        MatrixCharacteristics mc = dims.get(pmmins.input2);
        dimOut.set(pmmins.getNumRows(), mc.numColumns, mc.numRowsPerBlock, mc.numColumnsPerBlock);
    } else if (ins instanceof RemoveEmptyMRInstruction) {
        RemoveEmptyMRInstruction realIns = (RemoveEmptyMRInstruction) ins;
        MatrixCharacteristics mc = dims.get(realIns.input1);
        if (realIns.isRemoveRows())
            dimOut.set(realIns.getOutputLen(), mc.getCols(), mc.numRowsPerBlock, mc.numColumnsPerBlock);
        else
            dimOut.set(mc.getRows(), realIns.getOutputLen(), mc.numRowsPerBlock, mc.numColumnsPerBlock);
    } else if (//needs to be checked before binary
    ins instanceof UaggOuterChainInstruction) {
        UaggOuterChainInstruction realIns = (UaggOuterChainInstruction) ins;
        MatrixCharacteristics mc1 = dims.get(realIns.input1);
        MatrixCharacteristics mc2 = dims.get(realIns.input2);
        realIns.computeOutputCharacteristics(mc1, mc2, dimOut);
    } else if (ins instanceof GroupedAggregateMInstruction) {
        GroupedAggregateMInstruction realIns = (GroupedAggregateMInstruction) ins;
        MatrixCharacteristics mc1 = dims.get(realIns.input1);
        realIns.computeOutputCharacteristics(mc1, dimOut);
    } else if (ins instanceof BinaryInstruction || ins instanceof BinaryMInstruction || ins instanceof CombineBinaryInstruction) {
        BinaryMRInstructionBase realIns = (BinaryMRInstructionBase) ins;
        MatrixCharacteristics mc1 = dims.get(realIns.input1);
        MatrixCharacteristics mc2 = dims.get(realIns.input2);
        if (mc1.getRows() > 1 && mc1.getCols() == 1 && mc2.getRows() == 1 && //outer
        mc2.getCols() > 1) {
            dimOut.set(mc1.getRows(), mc2.getCols(), mc1.getRowsPerBlock(), mc2.getColsPerBlock());
        } else {
            //default case
            dimOut.set(mc1);
        }
    } else if (ins instanceof CombineTernaryInstruction) {
        TernaryInstruction realIns = (TernaryInstruction) ins;
        dimOut.set(dims.get(realIns.input1));
    } else if (ins instanceof CombineUnaryInstruction) {
        dimOut.set(dims.get(((CombineUnaryInstruction) ins).input));
    } else if (ins instanceof CM_N_COVInstruction || ins instanceof GroupedAggregateInstruction) {
        dimOut.set(1, 1, 1, 1);
    } else if (ins instanceof RangeBasedReIndexInstruction) {
        RangeBasedReIndexInstruction realIns = (RangeBasedReIndexInstruction) ins;
        MatrixCharacteristics dimIn = dims.get(realIns.input);
        realIns.computeOutputCharacteristics(dimIn, dimOut);
    } else if (ins instanceof TernaryInstruction) {
        TernaryInstruction realIns = (TernaryInstruction) ins;
        MatrixCharacteristics in_dim = dims.get(realIns.input1);
        dimOut.set(realIns.getOutputDim1(), realIns.getOutputDim2(), in_dim.numRowsPerBlock, in_dim.numColumnsPerBlock);
    } else {
        /*
			 * if ins is none of the above cases then we assume that dim_out dimensions are unknown
			 */
        dimOut.numRows = -1;
        dimOut.numColumns = -1;
        dimOut.numRowsPerBlock = 1;
        dimOut.numColumnsPerBlock = 1;
    }
}

Example 7 with AggregateUnaryOperator

use of org.apache.sysml.runtime.matrix.operators.AggregateUnaryOperator in project incubator-systemml by apache.

the class UaggOuterChainCPInstruction method parseInstruction.

public static UaggOuterChainCPInstruction parseInstruction(String str) throws DMLRuntimeException {
    String[] parts = InstructionUtils.getInstructionPartsWithValueType(str);
    String opcode = parts[0];
    if (opcode.equalsIgnoreCase(UAggOuterChain.OPCODE)) {
        AggregateUnaryOperator uaggop = InstructionUtils.parseBasicAggregateUnaryOperator(parts[1]);
        BinaryOperator bop = InstructionUtils.parseBinaryOperator(parts[2]);
        CPOperand in1 = new CPOperand(parts[3]);
        CPOperand in2 = new CPOperand(parts[4]);
        CPOperand out = new CPOperand(parts[5]);
        //derive aggregation operator from unary operator
        String aopcode = InstructionUtils.deriveAggregateOperatorOpcode(parts[1]);
        CorrectionLocationType corrLoc = InstructionUtils.deriveAggregateOperatorCorrectionLocation(parts[1]);
        String corrExists = (corrLoc != CorrectionLocationType.NONE) ? "true" : "false";
        AggregateOperator aop = InstructionUtils.parseAggregateOperator(aopcode, corrExists, corrLoc.toString());
        return new UaggOuterChainCPInstruction(bop, uaggop, aop, in1, in2, out, opcode, str);
    } else {
        throw new DMLRuntimeException("UaggOuterChainCPInstruction.parseInstruction():: Unknown opcode " + opcode);
    }
}

Example 8 with AggregateUnaryOperator

use of org.apache.sysml.runtime.matrix.operators.AggregateUnaryOperator in project incubator-systemml by apache.

the class AggregateUnaryCPInstruction method parseInstruction.

public static AggregateUnaryCPInstruction parseInstruction(String str) throws DMLRuntimeException {
    String[] parts = InstructionUtils.getInstructionPartsWithValueType(str);
    String opcode = parts[0];
    CPOperand in1 = new CPOperand(parts[1]);
    CPOperand out = new CPOperand(parts[2]);
    if (opcode.equalsIgnoreCase("nrow") || opcode.equalsIgnoreCase("ncol") || opcode.equalsIgnoreCase("length")) {
        return new AggregateUnaryCPInstruction(new SimpleOperator(Builtin.getBuiltinFnObject(opcode)), in1, out, opcode, str);
    } else //DEFAULT BEHAVIOR
    {
        AggregateUnaryOperator aggun = InstructionUtils.parseBasicAggregateUnaryOperator(opcode);
        aggun.setNumThreads(Integer.parseInt(parts[3]));
        return new AggregateUnaryCPInstruction(aggun, in1, out, opcode, str);
    }
}

Example 9 with AggregateUnaryOperator

use of org.apache.sysml.runtime.matrix.operators.AggregateUnaryOperator in project incubator-systemml by apache.

the class MatrixBlock method sumWithFn.

/**
	 * Wrapper method for reduceall-sum of a matrix using the given
	 * Kahan function for summation.
	 *
	 * @param kfunc A Kahan function object to use for summation.
	 * @return Sum of the values in the matrix with the given
	 *         function applied.
	 * @throws DMLRuntimeException if DMLRuntimeException occurs
	 */
private double sumWithFn(KahanFunction kfunc) throws DMLRuntimeException {
    //construct operator
    CorrectionLocationType corrLoc = CorrectionLocationType.LASTCOLUMN;
    ReduceAll reduceAllObj = ReduceAll.getReduceAllFnObject();
    AggregateOperator aop = new AggregateOperator(0, kfunc, true, corrLoc);
    AggregateUnaryOperator auop = new AggregateUnaryOperator(aop, reduceAllObj);
    //execute operation
    MatrixBlock out = new MatrixBlock(1, 2, false);
    LibMatrixAgg.aggregateUnaryMatrix(this, out, auop);
    return out.quickGetValue(0, 0);
}

Example 10 with AggregateUnaryOperator

use of org.apache.sysml.runtime.matrix.operators.AggregateUnaryOperator in project incubator-systemml by apache.

the class MatrixBlock method min.

/**
	 * Wrapper method for reduceall-min of a matrix.
	 * 
	 * @return ?
	 * @throws DMLRuntimeException if DMLRuntimeException occurs
	 */
public double min() throws DMLRuntimeException {
    //construct operator
    AggregateOperator aop = new AggregateOperator(Double.MAX_VALUE, Builtin.getBuiltinFnObject("min"));
    AggregateUnaryOperator auop = new AggregateUnaryOperator(aop, ReduceAll.getReduceAllFnObject());
    //execute operation
    MatrixBlock out = new MatrixBlock(1, 1, false);
    LibMatrixAgg.aggregateUnaryMatrix(this, out, auop);
    return out.quickGetValue(0, 0);
}