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

Example 26 with AggregateOperator

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

the class BasicMatrixVectorMultTest method runMatrixVectorMultTest.

private static void runMatrixVectorMultTest(SparsityType sptype, ValueType vtype, boolean compress) {
    try {
        // prepare sparsity for input data
        double sparsity = -1;
        switch(sptype) {
            case DENSE:
                sparsity = sparsity1;
                break;
            case SPARSE:
                sparsity = sparsity2;
                break;
            case EMPTY:
                sparsity = sparsity3;
                break;
        }
        // generate input data
        double min = (vtype == ValueType.CONST) ? 10 : -10;
        double[][] input = TestUtils.generateTestMatrix(rows, cols, min, 10, sparsity, 7);
        if (vtype == ValueType.RAND_ROUND_OLE || vtype == ValueType.RAND_ROUND_DDC) {
            CompressedMatrixBlock.ALLOW_DDC_ENCODING = (vtype == ValueType.RAND_ROUND_DDC);
            input = TestUtils.round(input);
        }
        MatrixBlock mb = DataConverter.convertToMatrixBlock(input);
        MatrixBlock vector = DataConverter.convertToMatrixBlock(TestUtils.generateTestMatrix(cols, 1, 1, 1, 1.0, 3));
        // compress given matrix block
        CompressedMatrixBlock cmb = new CompressedMatrixBlock(mb);
        if (compress)
            cmb.compress();
        // matrix-vector uncompressed
        AggregateOperator aop = new AggregateOperator(0, Plus.getPlusFnObject());
        AggregateBinaryOperator abop = new AggregateBinaryOperator(Multiply.getMultiplyFnObject(), aop);
        MatrixBlock ret1 = mb.aggregateBinaryOperations(mb, vector, new MatrixBlock(), abop);
        // matrix-vector compressed
        MatrixBlock ret2 = cmb.aggregateBinaryOperations(cmb, vector, new MatrixBlock(), abop);
        // compare result with input
        double[][] d1 = DataConverter.convertToDoubleMatrix(ret1);
        double[][] d2 = DataConverter.convertToDoubleMatrix(ret2);
        TestUtils.compareMatrices(d1, d2, rows, 1, 0.0000001);
    } catch (Exception ex) {
        throw new RuntimeException(ex);
    } finally {
        CompressedMatrixBlock.ALLOW_DDC_ENCODING = true;
    }
}

Example 27 with AggregateOperator

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

the class LargeMatrixMatrixMultTest method runMatrixVectorMultTest.

private static void runMatrixVectorMultTest(MultType mtype, SparsityType sptype, ValueType vtype, boolean compress) {
    try {
        // prepare sparsity for input data
        double sparsity = -1;
        switch(sptype) {
            case DENSE:
                sparsity = sparsity1;
                break;
            case SPARSE:
                sparsity = sparsity2;
                break;
            case EMPTY:
                sparsity = sparsity3;
                break;
        }
        // generate input data
        double min = (vtype == ValueType.CONST) ? 10 : -10;
        double[][] input = TestUtils.generateTestMatrix(rows, cols, min, 10, sparsity, 7);
        if (vtype == ValueType.RAND_ROUND_OLE || vtype == ValueType.RAND_ROUND_DDC) {
            CompressedMatrixBlock.ALLOW_DDC_ENCODING = (vtype == ValueType.RAND_ROUND_DDC);
            input = TestUtils.round(input);
        }
        boolean right = (mtype == MultType.RIGHT);
        MatrixBlock mb = DataConverter.convertToMatrixBlock(input);
        MatrixBlock vect = DataConverter.convertToMatrixBlock(right ? TestUtils.generateTestMatrix(cols, cols2, -1, 1, 1.0, 3) : TestUtils.generateTestMatrix(cols2, rows, -1, 1, 1.0, 3));
        // compress given matrix block
        CompressedMatrixBlock cmb = new CompressedMatrixBlock(mb);
        if (compress)
            cmb.compress();
        // matrix-vector uncompressed
        AggregateOperator aop = new AggregateOperator(0, Plus.getPlusFnObject());
        AggregateBinaryOperator abop = new AggregateBinaryOperator(Multiply.getMultiplyFnObject(), aop);
        MatrixBlock ret1 = right ? mb.aggregateBinaryOperations(mb, vect, new MatrixBlock(), abop) : vect.aggregateBinaryOperations(vect, mb, new MatrixBlock(), abop);
        // matrix-vector compressed
        MatrixBlock ret2 = right ? cmb.aggregateBinaryOperations(cmb, vect, new MatrixBlock(), abop) : cmb.aggregateBinaryOperations(vect, cmb, new MatrixBlock(), abop);
        // compare result with input
        double[][] d1 = DataConverter.convertToDoubleMatrix(ret1);
        double[][] d2 = DataConverter.convertToDoubleMatrix(ret2);
        TestUtils.compareMatrices(d1, d2, right ? rows : cols2, right ? cols2 : cols, 0.0000001);
    } catch (Exception ex) {
        throw new RuntimeException(ex);
    } finally {
        CompressedMatrixBlock.ALLOW_DDC_ENCODING = true;
    }
}

Example 28 with AggregateOperator

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

the class AggregateBinaryGPUInstruction method parseInstruction.

public static AggregateBinaryGPUInstruction parseInstruction(String str) {
    String[] parts = InstructionUtils.getInstructionPartsWithValueType(str);
    String opcode = parts[0];
    if (!opcode.equalsIgnoreCase("ba+*"))
        throw new DMLRuntimeException("AggregateBinaryInstruction.parseInstruction():: Unknown opcode " + opcode);
    InstructionUtils.checkNumFields(parts, 5);
    CPOperand in1 = new CPOperand(parts[1]);
    CPOperand in2 = new CPOperand(parts[2]);
    CPOperand out = new CPOperand(parts[3]);
    boolean isLeftTransposed = Boolean.parseBoolean(parts[4]);
    boolean isRightTransposed = Boolean.parseBoolean(parts[5]);
    AggregateOperator agg = new AggregateOperator(0, Plus.getPlusFnObject());
    AggregateBinaryOperator aggbin = new AggregateBinaryOperator(Multiply.getMultiplyFnObject(), agg, 1);
    return new AggregateBinaryGPUInstruction(aggbin, in1, in2, out, opcode, str, isLeftTransposed, isRightTransposed);
}

Example 29 with AggregateOperator

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

the class GroupedAggregateMInstruction method parseInstruction.

public static GroupedAggregateMInstruction parseInstruction(String str) {
    String[] parts = InstructionUtils.getInstructionParts(str);
    InstructionUtils.checkNumFields(parts, 5);
    byte in1 = Byte.parseByte(parts[1]);
    byte in2 = Byte.parseByte(parts[2]);
    byte out = Byte.parseByte(parts[3]);
    int ngroups = Integer.parseInt(parts[4]);
    // partitioning ignored
    Operator op = new AggregateOperator(0, KahanPlus.getKahanPlusFnObject(), true, CorrectionLocationType.LASTCOLUMN);
    return new GroupedAggregateMInstruction(op, in1, in2, out, ngroups, str);
}

Example 30 with AggregateOperator

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

the class UaggOuterChainInstruction method parseInstruction.

public static UaggOuterChainInstruction parseInstruction(String str) {
    // check number of fields (2/3 inputs, output, type)
    InstructionUtils.checkNumFields(str, 5);
    // parse instruction parts (without exec type)
    String[] parts = InstructionUtils.getInstructionParts(str);
    AggregateUnaryOperator uaggop = InstructionUtils.parseBasicAggregateUnaryOperator(parts[1]);
    BinaryOperator bop = InstructionUtils.parseBinaryOperator(parts[2]);
    byte in1 = Byte.parseByte(parts[3]);
    byte in2 = Byte.parseByte(parts[4]);
    byte out = Byte.parseByte(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 UaggOuterChainInstruction(bop, uaggop, aop, in1, in2, out, str);
}