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

Example 6 with RightScalarOperator

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

the class BasicScalarOperationsTest method runScalarOperationsTest.

/**
	 * 
	 * @param mb
	 */
private 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 RightScalarOperator

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

the class BuiltinBinarySPInstruction method parseInstruction.

public static BuiltinBinarySPInstruction parseInstruction(String str) throws DMLRuntimeException {
    CPOperand in1 = new CPOperand("", ValueType.UNKNOWN, DataType.UNKNOWN);
    CPOperand in2 = new CPOperand("", ValueType.UNKNOWN, DataType.UNKNOWN);
    CPOperand out = new CPOperand("", ValueType.UNKNOWN, DataType.UNKNOWN);
    String opcode = null;
    boolean isBroadcast = false;
    VectorType vtype = null;
    ValueFunction func = null;
    if (//map builtin function
    str.startsWith("SPARK" + Lop.OPERAND_DELIMITOR + "map")) {
        String[] parts = InstructionUtils.getInstructionPartsWithValueType(str);
        InstructionUtils.checkNumFields(parts, 5);
        opcode = parts[0];
        in1.split(parts[1]);
        in2.split(parts[2]);
        out.split(parts[3]);
        func = Builtin.getBuiltinFnObject(opcode.substring(3));
        vtype = VectorType.valueOf(parts[5]);
        isBroadcast = true;
    } else //default builtin function
    {
        opcode = parseBinaryInstruction(str, in1, in2, out);
        func = Builtin.getBuiltinFnObject(opcode);
    }
    //sanity check value function
    if (func == null)
        throw new DMLRuntimeException("Failed to create builtin value function for opcode: " + opcode);
    // Determine appropriate Function Object based on opcode			
    if (//MATRIX-SCALAR
    in1.getDataType() != in2.getDataType()) {
        return new MatrixScalarBuiltinSPInstruction(new RightScalarOperator(func, 0), in1, in2, out, opcode, str);
    } else //MATRIX-MATRIX 
    {
        if (isBroadcast)
            return new MatrixBVectorBuiltinSPInstruction(new BinaryOperator(func), in1, in2, out, vtype, opcode, str);
        else
            return new MatrixMatrixBuiltinSPInstruction(new BinaryOperator(func), in1, in2, out, opcode, str);
    }
}

Example 8 with RightScalarOperator

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

the class BasicScalarOperationsSparseUnsafeTest method runScalarOperationsTest.

/**
	 * 
	 * @param mb
	 */
private 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;
    }
}