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

Example 6 with ScalarOperator

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

the class BasicScalarOperationsTest method runScalarOperationsTest.

private static void runScalarOperationsTest(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);
        // compress given matrix block
        CompressedMatrixBlock cmb = new CompressedMatrixBlock(mb);
        if (compress)
            cmb.compress();
        // matrix-scalar uncompressed
        ScalarOperator sop = new RightScalarOperator(Multiply.getMultiplyFnObject(), 7);
        MatrixBlock ret1 = (MatrixBlock) mb.scalarOperations(sop, new MatrixBlock());
        // matrix-scalar compressed
        MatrixBlock ret2 = (MatrixBlock) cmb.scalarOperations(sop, new MatrixBlock());
        if (compress)
            ret2 = ((CompressedMatrixBlock) ret2).decompress();
        // compare result with input
        double[][] d1 = DataConverter.convertToDoubleMatrix(ret1);
        double[][] d2 = DataConverter.convertToDoubleMatrix(ret2);
        TestUtils.compareMatrices(d1, d2, rows, cols, 0.0000001);
    } catch (Exception ex) {
        throw new RuntimeException(ex);
    } finally {
        CompressedMatrixBlock.ALLOW_DDC_ENCODING = true;
    }
}

Example 7 with ScalarOperator

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

the class BasicScalarOperationsSparseUnsafeTest method runScalarOperationsTest.

private static void runScalarOperationsTest(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);
        // compress given matrix block
        CompressedMatrixBlock cmb = new CompressedMatrixBlock(mb);
        if (compress)
            cmb.compress();
        // matrix-scalar uncompressed
        ScalarOperator sop = new RightScalarOperator(Plus.getPlusFnObject(), 7);
        MatrixBlock ret1 = (MatrixBlock) mb.scalarOperations(sop, new MatrixBlock());
        // matrix-scalar compressed
        MatrixBlock ret2 = (MatrixBlock) cmb.scalarOperations(sop, new MatrixBlock());
        if (compress)
            ret2 = ((CompressedMatrixBlock) ret2).decompress();
        // compare result with input
        double[][] d1 = DataConverter.convertToDoubleMatrix(ret1);
        double[][] d2 = DataConverter.convertToDoubleMatrix(ret2);
        TestUtils.compareMatrices(d1, d2, rows, cols, 0.0000001);
    } catch (Exception ex) {
        throw new RuntimeException(ex);
    } finally {
        CompressedMatrixBlock.ALLOW_DDC_ENCODING = true;
    }
}

Example 8 with ScalarOperator

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

the class ScalarMatrixArithmeticGPUInstruction method processInstruction.

@Override
public void processInstruction(ExecutionContext ec) {
    GPUStatistics.incrementNoOfExecutedGPUInst();
    CPOperand mat = (_input1.getDataType() == DataType.MATRIX) ? _input1 : _input2;
    CPOperand scalar = (_input1.getDataType() == DataType.MATRIX) ? _input2 : _input1;
    MatrixObject in1 = getMatrixInputForGPUInstruction(ec, mat.getName());
    ScalarObject constant = (ScalarObject) ec.getScalarInput(scalar.getName(), scalar.getValueType(), scalar.isLiteral());
    boolean isTransposed = false;
    int rlen = isTransposed ? (int) in1.getNumColumns() : (int) in1.getNumRows();
    int clen = isTransposed ? (int) in1.getNumRows() : (int) in1.getNumColumns();
    ec.setMetaData(_output.getName(), rlen, clen);
    ScalarOperator sc_op = (ScalarOperator) _optr;
    sc_op = sc_op.setConstant(constant.getDoubleValue());
    LibMatrixCUDA.matrixScalarArithmetic(ec, ec.getGPUContext(0), getExtendedOpcode(), in1, _output.getName(), isTransposed, sc_op);
    ec.releaseMatrixInputForGPUInstruction(mat.getName());
    ec.releaseMatrixOutputForGPUInstruction(_output.getName());
}

Example 9 with ScalarOperator

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

the class ScalarMatrixRelationalBinaryGPUInstruction method processInstruction.

@Override
public void processInstruction(ExecutionContext ec) {
    GPUStatistics.incrementNoOfExecutedGPUInst();
    CPOperand mat = (_input1.getDataType() == Expression.DataType.MATRIX) ? _input1 : _input2;
    CPOperand scalar = (_input1.getDataType() == Expression.DataType.MATRIX) ? _input2 : _input1;
    MatrixObject in1 = getMatrixInputForGPUInstruction(ec, mat.getName());
    ScalarObject constant = (ScalarObject) ec.getScalarInput(scalar.getName(), scalar.getValueType(), scalar.isLiteral());
    int rlen = (int) in1.getNumRows();
    int clen = (int) in1.getNumColumns();
    ec.setMetaData(_output.getName(), rlen, clen);
    ScalarOperator sc_op = (ScalarOperator) _optr;
    sc_op = sc_op.setConstant(constant.getDoubleValue());
    LibMatrixCUDA.matrixScalarRelational(ec, ec.getGPUContext(0), getExtendedOpcode(), in1, _output.getName(), sc_op);
    ec.releaseMatrixInputForGPUInstruction(mat.getName());
    ec.releaseMatrixOutputForGPUInstruction(_output.getName());
}

Example 10 with ScalarOperator

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

the class ScalarInstruction method parseInstruction.

public static ScalarInstruction parseInstruction(String str) {
    InstructionUtils.checkNumFields(str, 3);
    String[] parts = InstructionUtils.getInstructionParts(str);
    String opcode = parts[0];
    boolean firstArgScalar = isFirstArgumentScalar(str);
    double cst = Double.parseDouble(firstArgScalar ? parts[1] : parts[2]);
    byte in = Byte.parseByte(firstArgScalar ? parts[2] : parts[1]);
    byte out = Byte.parseByte(parts[3]);
    ScalarOperator sop = InstructionUtils.parseScalarBinaryOperator(opcode, firstArgScalar, cst);
    return new ScalarInstruction(sop, in, out, str);
}