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

Example 76 with DataOp

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

the class InterProceduralAnalysis method populateLocalVariableMapForFunctionCall.

private static void populateLocalVariableMapForFunctionCall(FunctionStatement fstmt, FunctionOp fop, LocalVariableMap callvars, LocalVariableMap vars, FunctionCallSizeInfo fcallSizes) {
    ArrayList<DataIdentifier> inputVars = fstmt.getInputParams();
    ArrayList<Hop> inputOps = fop.getInput();
    String fkey = fop.getFunctionKey();
    for (int i = 0; i < inputVars.size(); i++) {
        // create mapping between input hops and vars
        DataIdentifier dat = inputVars.get(i);
        Hop input = inputOps.get(i);
        if (input.getDataType() == DataType.MATRIX) {
            // propagate matrix characteristics
            MatrixObject mo = new MatrixObject(ValueType.DOUBLE, null);
            MatrixCharacteristics mc = new MatrixCharacteristics(input.getDim1(), input.getDim2(), ConfigurationManager.getBlocksize(), ConfigurationManager.getBlocksize(), fcallSizes.isSafeNnz(fkey, i) ? input.getNnz() : -1);
            MetaDataFormat meta = new MetaDataFormat(mc, null, null);
            mo.setMetaData(meta);
            vars.put(dat.getName(), mo);
        } else if (input.getDataType() == DataType.SCALAR) {
            // (for multiple calls, literal equivalence already checked)
            if (input instanceof LiteralOp) {
                vars.put(dat.getName(), ScalarObjectFactory.createScalarObject(input.getValueType(), (LiteralOp) input));
            } else // and input scalar is existing variable in symbol table
            if (PROPAGATE_SCALAR_VARS_INTO_FUN && fcallSizes.getFunctionCallCount(fkey) == 1 && input instanceof DataOp) {
                Data scalar = callvars.get(input.getName());
                if (scalar != null && scalar instanceof ScalarObject) {
                    vars.put(dat.getName(), scalar);
                }
            }
        }
    }
}

Example 77 with DataOp

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

the class LiteralReplacement method replaceLiteralFullUnaryAggregateRightIndexing.

private static LiteralOp replaceLiteralFullUnaryAggregateRightIndexing(Hop c, LocalVariableMap vars) {
    LiteralOp ret = null;
    // full unary aggregate w/ indexed matrix less than 10^6 cells
    if (c instanceof AggUnaryOp && isReplaceableUnaryAggregate((AggUnaryOp) c) && c.getInput().get(0) instanceof IndexingOp && c.getInput().get(0).getInput().get(0) instanceof DataOp) {
        IndexingOp rix = (IndexingOp) c.getInput().get(0);
        Hop data = rix.getInput().get(0);
        Hop rl = rix.getInput().get(1);
        Hop ru = rix.getInput().get(2);
        Hop cl = rix.getInput().get(3);
        Hop cu = rix.getInput().get(4);
        if (data instanceof DataOp && vars.keySet().contains(data.getName()) && isIntValueDataLiteral(rl, vars) && isIntValueDataLiteral(ru, vars) && isIntValueDataLiteral(cl, vars) && isIntValueDataLiteral(cu, vars)) {
            long rlval = getIntValueDataLiteral(rl, vars);
            long ruval = getIntValueDataLiteral(ru, vars);
            long clval = getIntValueDataLiteral(cl, vars);
            long cuval = getIntValueDataLiteral(cu, vars);
            MatrixObject mo = (MatrixObject) vars.get(data.getName());
            // dimensions might not have been updated during recompile
            if (mo.getNumRows() * mo.getNumColumns() < REPLACE_LITERALS_MAX_MATRIX_SIZE) {
                MatrixBlock mBlock = mo.acquireRead();
                MatrixBlock mBlock2 = mBlock.slice((int) (rlval - 1), (int) (ruval - 1), (int) (clval - 1), (int) (cuval - 1), new MatrixBlock());
                double value = replaceUnaryAggregate((AggUnaryOp) c, mBlock2);
                mo.release();
                // literal substitution (always double)
                ret = new LiteralOp(value);
            }
        }
    }
    return ret;
}

Example 78 with DataOp

use of org.apache.sysml.hops.DataOp 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 79 with DataOp

use of org.apache.sysml.hops.DataOp 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 80 with DataOp

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

the class Recompiler method rUpdateStatistics.

public static void rUpdateStatistics(Hop hop, LocalVariableMap vars) {
    if (hop.isVisited())
        return;
    // recursively process children
    if (hop.getInput() != null)
        for (Hop c : hop.getInput()) rUpdateStatistics(c, vars);
    boolean updatedSizeExpr = false;
    // (with awareness not to override persistent reads to an existing name)
    if (hop instanceof DataOp && ((DataOp) hop).getDataOpType() != DataOpTypes.PERSISTENTREAD) {
        DataOp d = (DataOp) hop;
        String varName = d.getName();
        if (vars.keySet().contains(varName)) {
            Data dat = vars.get(varName);
            if (dat instanceof MatrixObject) {
                MatrixObject mo = (MatrixObject) dat;
                d.setDim1(mo.getNumRows());
                d.setDim2(mo.getNumColumns());
                d.setNnz(mo.getNnz());
            } else if (dat instanceof FrameObject) {
                FrameObject fo = (FrameObject) dat;
                d.setDim1(fo.getNumRows());
                d.setDim2(fo.getNumColumns());
            }
        }
    } else // special case for persistent reads with unknown size (read-after-write)
    if (hop instanceof DataOp && ((DataOp) hop).getDataOpType() == DataOpTypes.PERSISTENTREAD && !hop.dimsKnown() && ((DataOp) hop).getInputFormatType() != FileFormatTypes.CSV && !ConfigurationManager.getCompilerConfigFlag(ConfigType.IGNORE_READ_WRITE_METADATA)) {
        // update hop with read meta data
        DataOp dop = (DataOp) hop;
        tryReadMetaDataFileMatrixCharacteristics(dop);
    } else // update size expression for rand/seq according to symbol table entries
    if (hop instanceof DataGenOp) {
        DataGenOp d = (DataGenOp) hop;
        HashMap<String, Integer> params = d.getParamIndexMap();
        if (d.getOp() == DataGenMethod.RAND || d.getOp() == DataGenMethod.SINIT || d.getOp() == DataGenMethod.SAMPLE) {
            boolean initUnknown = !d.dimsKnown();
            int ix1 = params.get(DataExpression.RAND_ROWS);
            int ix2 = params.get(DataExpression.RAND_COLS);
            // update rows/cols by evaluating simple expression of literals, nrow, ncol, scalars, binaryops
            HashMap<Long, Long> memo = new HashMap<>();
            d.refreshRowsParameterInformation(d.getInput().get(ix1), vars, memo);
            d.refreshColsParameterInformation(d.getInput().get(ix2), vars, memo);
            updatedSizeExpr = initUnknown & d.dimsKnown();
        } else if (d.getOp() == DataGenMethod.SEQ) {
            boolean initUnknown = !d.dimsKnown();
            int ix1 = params.get(Statement.SEQ_FROM);
            int ix2 = params.get(Statement.SEQ_TO);
            int ix3 = params.get(Statement.SEQ_INCR);
            HashMap<Long, Double> memo = new HashMap<>();
            double from = d.computeBoundsInformation(d.getInput().get(ix1), vars, memo);
            double to = d.computeBoundsInformation(d.getInput().get(ix2), vars, memo);
            double incr = d.computeBoundsInformation(d.getInput().get(ix3), vars, memo);
            // special case increment
            if (from != Double.MAX_VALUE && to != Double.MAX_VALUE) {
                incr *= ((from > to && incr > 0) || (from < to && incr < 0)) ? -1.0 : 1.0;
            }
            if (from != Double.MAX_VALUE && to != Double.MAX_VALUE && incr != Double.MAX_VALUE) {
                d.setDim1(UtilFunctions.getSeqLength(from, to, incr));
                d.setDim2(1);
                d.setIncrementValue(incr);
            }
            updatedSizeExpr = initUnknown & d.dimsKnown();
        } else {
            throw new DMLRuntimeException("Unexpected data generation method: " + d.getOp());
        }
    } else // update size expression for reshape according to symbol table entries
    if (hop instanceof ReorgOp && ((ReorgOp) (hop)).getOp() == Hop.ReOrgOp.RESHAPE) {
        ReorgOp d = (ReorgOp) hop;
        boolean initUnknown = !d.dimsKnown();
        HashMap<Long, Long> memo = new HashMap<>();
        d.refreshRowsParameterInformation(d.getInput().get(1), vars, memo);
        d.refreshColsParameterInformation(d.getInput().get(2), vars, memo);
        updatedSizeExpr = initUnknown & d.dimsKnown();
    } else // update size expression for indexing according to symbol table entries
    if (hop instanceof IndexingOp) {
        IndexingOp iop = (IndexingOp) hop;
        // inpRowL
        Hop input2 = iop.getInput().get(1);
        // inpRowU
        Hop input3 = iop.getInput().get(2);
        // inpColL
        Hop input4 = iop.getInput().get(3);
        // inpColU
        Hop input5 = iop.getInput().get(4);
        boolean initUnknown = !iop.dimsKnown();
        HashMap<Long, Double> memo = new HashMap<>();
        double rl = iop.computeBoundsInformation(input2, vars, memo);
        double ru = iop.computeBoundsInformation(input3, vars, memo);
        double cl = iop.computeBoundsInformation(input4, vars, memo);
        double cu = iop.computeBoundsInformation(input5, vars, memo);
        if (rl != Double.MAX_VALUE && ru != Double.MAX_VALUE)
            iop.setDim1((long) (ru - rl + 1));
        if (cl != Double.MAX_VALUE && cu != Double.MAX_VALUE)
            iop.setDim2((long) (cu - cl + 1));
        updatedSizeExpr = initUnknown & iop.dimsKnown();
    }
    // without overwriting inferred size expressions
    if (!updatedSizeExpr) {
        hop.refreshSizeInformation();
    }
    hop.setVisited();
}