Examples with UnaryOp org.apache.sysml.hops.UnaryOp used on opensource projects

Example 71 with UnaryOp

use of org.apache.sysml.hops.UnaryOp in project systemml by apache.

the class LiteralReplacement method replaceLiteralDataTypeCastMatrixRead.

private static LiteralOp replaceLiteralDataTypeCastMatrixRead(Hop c, LocalVariableMap vars) {
    LiteralOp ret = null;
    // as.scalar/matrix read - literal replacement
    if (c instanceof UnaryOp && ((UnaryOp) c).getOp() == OpOp1.CAST_AS_SCALAR && c.getInput().get(0) instanceof DataOp && c.getInput().get(0).getDataType() == DataType.MATRIX) {
        Data dat = vars.get(c.getInput().get(0).getName());
        if (// required for selective constant propagation
        dat != null) {
            // cast as scalar (see VariableCPInstruction)
            MatrixObject mo = (MatrixObject) dat;
            MatrixBlock mBlock = mo.acquireRead();
            if (mBlock.getNumRows() != 1 || mBlock.getNumColumns() != 1)
                throw new DMLRuntimeException("Dimension mismatch - unable to cast matrix of dimension (" + mBlock.getNumRows() + " x " + mBlock.getNumColumns() + ") to scalar.");
            double value = mBlock.getValue(0, 0);
            mo.release();
            // literal substitution (always double)
            ret = new LiteralOp(value);
        }
    }
    return ret;
}

Example 72 with UnaryOp

use of org.apache.sysml.hops.UnaryOp in project systemml by apache.

the class LiteralReplacement method getIntValueDataLiteral.

private static long getIntValueDataLiteral(Hop hop, LocalVariableMap vars) {
    long value = -1;
    try {
        if (hop instanceof LiteralOp) {
            value = HopRewriteUtils.getIntValue((LiteralOp) hop);
        } else if (hop instanceof UnaryOp && ((UnaryOp) hop).getOp() == OpOp1.NROW) {
            // get the dimension information from the matrix object because the hop
            // dimensions might not have been updated during recompile
            MatrixObject mo = (MatrixObject) vars.get(hop.getInput().get(0).getName());
            value = mo.getNumRows();
        } else if (hop instanceof UnaryOp && ((UnaryOp) hop).getOp() == OpOp1.NCOL) {
            // get the dimension information from the matrix object because the hop
            // dimensions might not have been updated during recompile
            MatrixObject mo = (MatrixObject) vars.get(hop.getInput().get(0).getName());
            value = mo.getNumColumns();
        } else {
            ScalarObject sdat = (ScalarObject) vars.get(hop.getName());
            value = sdat.getLongValue();
        }
    } catch (HopsException ex) {
        throw new DMLRuntimeException("Failed to get int value for literal replacement", ex);
    }
    return value;
}

Example 73 with UnaryOp

use of org.apache.sysml.hops.UnaryOp in project systemml by apache.

the class Recompiler method extractDAGOutputStatistics.

public static void extractDAGOutputStatistics(Hop hop, LocalVariableMap vars, boolean overwrite) {
    if (// for all writes to symbol table
    hop instanceof DataOp && ((DataOp) hop).getDataOpType() == DataOpTypes.TRANSIENTWRITE) {
        String varName = hop.getName();
        if (// not existing so far
        !vars.keySet().contains(varName) || overwrite) {
            // extract matrix sizes for size propagation
            if (hop.getDataType() == DataType.MATRIX) {
                MatrixObject mo = new MatrixObject(ValueType.DOUBLE, null);
                MatrixCharacteristics mc = new MatrixCharacteristics(hop.getDim1(), hop.getDim2(), ConfigurationManager.getBlocksize(), ConfigurationManager.getBlocksize(), hop.getNnz());
                MetaDataFormat meta = new MetaDataFormat(mc, null, null);
                mo.setMetaData(meta);
                vars.put(varName, mo);
            } else // extract scalar constants for second constant propagation
            if (hop.getDataType() == DataType.SCALAR) {
                // extract literal assignments
                if (hop.getInput().size() == 1 && hop.getInput().get(0) instanceof LiteralOp) {
                    ScalarObject constant = HopRewriteUtils.getScalarObject((LiteralOp) hop.getInput().get(0));
                    if (constant != null)
                        vars.put(varName, constant);
                } else // extract constant variable assignments
                if (hop.getInput().size() == 1 && hop.getInput().get(0) instanceof DataOp) {
                    DataOp dop = (DataOp) hop.getInput().get(0);
                    String dopvarname = dop.getName();
                    if (dop.isRead() && vars.keySet().contains(dopvarname)) {
                        ScalarObject constant = (ScalarObject) vars.get(dopvarname);
                        // no clone because constant
                        vars.put(varName, constant);
                    }
                } else // extract ncol/nrow variable assignments
                if (hop.getInput().size() == 1 && hop.getInput().get(0) instanceof UnaryOp && (((UnaryOp) hop.getInput().get(0)).getOp() == OpOp1.NROW || ((UnaryOp) hop.getInput().get(0)).getOp() == OpOp1.NCOL)) {
                    UnaryOp uop = (UnaryOp) hop.getInput().get(0);
                    if (uop.getOp() == OpOp1.NROW && uop.getInput().get(0).getDim1() > 0)
                        vars.put(varName, new IntObject(uop.getInput().get(0).getDim1()));
                    else if (uop.getOp() == OpOp1.NCOL && uop.getInput().get(0).getDim2() > 0)
                        vars.put(varName, new IntObject(uop.getInput().get(0).getDim2()));
                } else // remove other updated scalars
                {
                    // we need to remove other updated scalars in order to ensure result
                    // correctness of recompilation w/o being too conservative
                    vars.remove(varName);
                }
            }
        } else // already existing: take largest
        {
            Data dat = vars.get(varName);
            if (dat instanceof MatrixObject) {
                MatrixObject mo = (MatrixObject) dat;
                MatrixCharacteristics mc = mo.getMatrixCharacteristics();
                if (OptimizerUtils.estimateSizeExactSparsity(mc.getRows(), mc.getCols(), (mc.getNonZeros() >= 0) ? ((double) mc.getNonZeros()) / mc.getRows() / mc.getCols() : 1.0) < OptimizerUtils.estimateSize(hop.getDim1(), hop.getDim2())) {
                    // update statistics if necessary
                    mc.setDimension(hop.getDim1(), hop.getDim2());
                    mc.setNonZeros(hop.getNnz());
                }
            } else // scalar (just overwrite)
            {
                if (hop.getInput().size() == 1 && hop.getInput().get(0) instanceof LiteralOp) {
                    ScalarObject constant = HopRewriteUtils.getScalarObject((LiteralOp) hop.getInput().get(0));
                    if (constant != null)
                        vars.put(varName, constant);
                }
            }
        }
    }
}

Example 74 with UnaryOp

use of org.apache.sysml.hops.UnaryOp in project systemml by apache.

the class HopRewriteUtils method createDataGenOp.

public static Hop createDataGenOp(Hop input, double value) {
    Hop rows = input.rowsKnown() ? new LiteralOp(input.getDim1()) : new UnaryOp("tmprows", DataType.SCALAR, ValueType.INT, OpOp1.NROW, input);
    Hop cols = input.colsKnown() ? new LiteralOp(input.getDim2()) : new UnaryOp("tmpcols", DataType.SCALAR, ValueType.INT, OpOp1.NCOL, input);
    Hop val = new LiteralOp(value);
    HashMap<String, Hop> params = new HashMap<>();
    params.put(DataExpression.RAND_ROWS, rows);
    params.put(DataExpression.RAND_COLS, cols);
    params.put(DataExpression.RAND_MIN, val);
    params.put(DataExpression.RAND_MAX, val);
    params.put(DataExpression.RAND_PDF, new LiteralOp(DataExpression.RAND_PDF_UNIFORM));
    params.put(DataExpression.RAND_LAMBDA, new LiteralOp(-1.0));
    params.put(DataExpression.RAND_SPARSITY, new LiteralOp(1.0));
    params.put(DataExpression.RAND_SEED, new LiteralOp(DataGenOp.UNSPECIFIED_SEED));
    // note internal refresh size information
    Hop datagen = new DataGenOp(DataGenMethod.RAND, new DataIdentifier("tmp"), params);
    datagen.setOutputBlocksizes(input.getRowsInBlock(), input.getColsInBlock());
    copyLineNumbers(input, datagen);
    if (value == 0)
        datagen.setNnz(0);
    return datagen;
}

Example 75 with UnaryOp

use of org.apache.sysml.hops.UnaryOp in project systemml by apache.

the class HopRewriteUtils method createDataGenOp.

public static Hop createDataGenOp(Hop rowInput, boolean tRowInput, Hop colInput, boolean tColInput, double value) {
    long nrow = tRowInput ? rowInput.getDim2() : rowInput.getDim1();
    long ncol = tColInput ? colInput.getDim1() : rowInput.getDim2();
    Hop rows = (nrow >= 0) ? new LiteralOp(nrow) : new UnaryOp("tmprows", DataType.SCALAR, ValueType.INT, tRowInput ? OpOp1.NCOL : OpOp1.NROW, rowInput);
    Hop cols = (ncol >= 0) ? new LiteralOp(ncol) : new UnaryOp("tmpcols", DataType.SCALAR, ValueType.INT, tColInput ? OpOp1.NROW : OpOp1.NCOL, colInput);
    Hop val = new LiteralOp(value);
    HashMap<String, Hop> params = new HashMap<>();
    params.put(DataExpression.RAND_ROWS, rows);
    params.put(DataExpression.RAND_COLS, cols);
    params.put(DataExpression.RAND_MIN, val);
    params.put(DataExpression.RAND_MAX, val);
    params.put(DataExpression.RAND_PDF, new LiteralOp(DataExpression.RAND_PDF_UNIFORM));
    params.put(DataExpression.RAND_LAMBDA, new LiteralOp(-1.0));
    params.put(DataExpression.RAND_SPARSITY, new LiteralOp(1.0));
    params.put(DataExpression.RAND_SEED, new LiteralOp(DataGenOp.UNSPECIFIED_SEED));
    // note internal refresh size information
    Hop datagen = new DataGenOp(DataGenMethod.RAND, new DataIdentifier("tmp"), params);
    datagen.setOutputBlocksizes(rowInput.getRowsInBlock(), colInput.getColsInBlock());
    copyLineNumbers(rowInput, datagen);
    if (value == 0)
        datagen.setNnz(0);
    return datagen;
}