use of org.apache.sysml.runtime.instructions.mr.RemoveEmptyMRInstruction in project incubator-systemml by apache.
the class CostEstimatorStaticRuntime method extractMRInstStatistics.
private Object[] extractMRInstStatistics(String inst, VarStats[] stats) throws DMLRuntimeException {
//stats, attrs
Object[] ret = new Object[2];
VarStats[] vs = new VarStats[3];
String[] attr = null;
String[] parts = InstructionUtils.getInstructionParts(inst);
String opcode = parts[0];
if (opcode.equals(DataGen.RAND_OPCODE)) {
vs[0] = _unknownStats;
vs[1] = _unknownStats;
vs[2] = stats[Integer.parseInt(parts[2])];
int type = 2;
//awareness of instruction patching min/max
if (!parts[7].contains(Lop.VARIABLE_NAME_PLACEHOLDER) && !parts[8].contains(Lop.VARIABLE_NAME_PLACEHOLDER)) {
double minValue = Double.parseDouble(parts[7]);
double maxValue = Double.parseDouble(parts[8]);
double sparsity = Double.parseDouble(parts[9]);
if (minValue == 0.0 && maxValue == 0.0)
type = 0;
else if (sparsity == 1.0 && minValue == maxValue)
type = 1;
}
attr = new String[] { String.valueOf(type) };
}
if (opcode.equals(DataGen.SEQ_OPCODE)) {
vs[0] = _unknownStats;
vs[1] = _unknownStats;
vs[2] = stats[Integer.parseInt(parts[2])];
} else //general case
{
String inst2 = replaceInstructionPatch(inst);
MRInstruction mrinst = MRInstructionParser.parseSingleInstruction(inst2);
if (mrinst instanceof UnaryMRInstructionBase) {
UnaryMRInstructionBase uinst = (UnaryMRInstructionBase) mrinst;
vs[0] = uinst.input >= 0 ? stats[uinst.input] : _unknownStats;
vs[1] = _unknownStats;
vs[2] = stats[uinst.output];
if (//scalar input, e.g., print
vs[0] == null)
vs[0] = _scalarStats;
if (//scalar output
vs[2] == null)
vs[2] = _scalarStats;
if (mrinst instanceof MMTSJMRInstruction) {
String type = ((MMTSJMRInstruction) mrinst).getMMTSJType().toString();
attr = new String[] { type };
} else if (mrinst instanceof CM_N_COVInstruction) {
if (opcode.equals("cm"))
attr = new String[] { parts[parts.length - 2] };
} else if (mrinst instanceof GroupedAggregateInstruction) {
if (opcode.equals("groupedagg")) {
AggregateOperationTypes type = CMOperator.getAggOpType(parts[2], parts[3]);
attr = new String[] { String.valueOf(type.ordinal()) };
}
}
} else if (mrinst instanceof BinaryMRInstructionBase) {
BinaryMRInstructionBase binst = (BinaryMRInstructionBase) mrinst;
vs[0] = stats[binst.input1];
vs[1] = stats[binst.input2];
vs[2] = stats[binst.output];
if (//scalar input,
vs[0] == null)
vs[0] = _scalarStats;
if (//scalar input,
vs[1] == null)
vs[1] = _scalarStats;
if (//scalar output
vs[2] == null)
vs[2] = _scalarStats;
if (opcode.equals("rmempty")) {
RemoveEmptyMRInstruction rbinst = (RemoveEmptyMRInstruction) mrinst;
attr = new String[] { rbinst.isRemoveRows() ? "0" : "1" };
}
} else if (mrinst instanceof TernaryInstruction) {
TernaryInstruction tinst = (TernaryInstruction) mrinst;
vs[0] = stats[tinst.input1];
vs[1] = stats[tinst.input2];
vs[2] = stats[tinst.input3];
if (//scalar input,
vs[0] == null)
vs[0] = _scalarStats;
if (//scalar input,
vs[1] == null)
vs[1] = _scalarStats;
if (//scalar input
vs[2] == null)
vs[2] = _scalarStats;
} else if (mrinst instanceof PickByCountInstruction) {
PickByCountInstruction pinst = (PickByCountInstruction) mrinst;
vs[0] = stats[pinst.input1];
vs[2] = stats[pinst.output];
if (//scalar input,
vs[0] == null)
vs[0] = _scalarStats;
if (//scalar input,
vs[1] == null)
vs[1] = _scalarStats;
if (//scalar input
vs[2] == null)
vs[2] = _scalarStats;
} else if (mrinst instanceof MapMultChainInstruction) {
MapMultChainInstruction minst = (MapMultChainInstruction) mrinst;
vs[0] = stats[minst.getInput1()];
vs[1] = stats[minst.getInput2()];
if (minst.getInput3() >= 0)
vs[2] = stats[minst.getInput3()];
if (//scalar input,
vs[0] == null)
vs[0] = _scalarStats;
if (//scalar input,
vs[1] == null)
vs[1] = _scalarStats;
if (//scalar input
vs[2] == null)
vs[2] = _scalarStats;
}
}
//maintain var status (CP output always inmem)
vs[2]._inmem = true;
ret[0] = vs;
ret[1] = attr;
return ret;
}
use of org.apache.sysml.runtime.instructions.mr.RemoveEmptyMRInstruction in project incubator-systemml by apache.
the class MatrixCharacteristics method computeDimension.
public static void computeDimension(HashMap<Byte, MatrixCharacteristics> dims, MRInstruction ins) throws DMLRuntimeException {
MatrixCharacteristics dimOut = dims.get(ins.output);
if (dimOut == null) {
dimOut = new MatrixCharacteristics();
dims.put(ins.output, dimOut);
}
if (ins instanceof ReorgInstruction) {
ReorgInstruction realIns = (ReorgInstruction) ins;
reorg(dims.get(realIns.input), (ReorgOperator) realIns.getOperator(), dimOut);
} else if (ins instanceof AppendInstruction) {
AppendInstruction realIns = (AppendInstruction) ins;
MatrixCharacteristics in_dim1 = dims.get(realIns.input1);
MatrixCharacteristics in_dim2 = dims.get(realIns.input2);
if (realIns.isCBind())
dimOut.set(in_dim1.numRows, in_dim1.numColumns + in_dim2.numColumns, in_dim1.numRowsPerBlock, in_dim2.numColumnsPerBlock);
else
dimOut.set(in_dim1.numRows + in_dim2.numRows, in_dim1.numColumns, in_dim1.numRowsPerBlock, in_dim2.numColumnsPerBlock);
} else if (ins instanceof CumulativeAggregateInstruction) {
AggregateUnaryInstruction realIns = (AggregateUnaryInstruction) ins;
MatrixCharacteristics in = dims.get(realIns.input);
dimOut.set((long) Math.ceil((double) in.getRows() / in.getRowsPerBlock()), in.getCols(), in.getRowsPerBlock(), in.getColsPerBlock());
} else if (ins instanceof AggregateUnaryInstruction) {
AggregateUnaryInstruction realIns = (AggregateUnaryInstruction) ins;
aggregateUnary(dims.get(realIns.input), (AggregateUnaryOperator) realIns.getOperator(), dimOut);
} else if (ins instanceof AggregateBinaryInstruction) {
AggregateBinaryInstruction realIns = (AggregateBinaryInstruction) ins;
aggregateBinary(dims.get(realIns.input1), dims.get(realIns.input2), (AggregateBinaryOperator) realIns.getOperator(), dimOut);
} else if (ins instanceof MapMultChainInstruction) {
//output size independent of chain type
MapMultChainInstruction realIns = (MapMultChainInstruction) ins;
MatrixCharacteristics mc1 = dims.get(realIns.getInput1());
MatrixCharacteristics mc2 = dims.get(realIns.getInput2());
dimOut.set(mc1.numColumns, mc2.numColumns, mc1.numRowsPerBlock, mc1.numColumnsPerBlock);
} else if (ins instanceof QuaternaryInstruction) {
QuaternaryInstruction realIns = (QuaternaryInstruction) ins;
MatrixCharacteristics mc1 = dims.get(realIns.getInput1());
MatrixCharacteristics mc2 = dims.get(realIns.getInput2());
MatrixCharacteristics mc3 = dims.get(realIns.getInput3());
realIns.computeMatrixCharacteristics(mc1, mc2, mc3, dimOut);
} else if (ins instanceof ReblockInstruction) {
ReblockInstruction realIns = (ReblockInstruction) ins;
MatrixCharacteristics in_dim = dims.get(realIns.input);
dimOut.set(in_dim.numRows, in_dim.numColumns, realIns.brlen, realIns.bclen, in_dim.nonZero);
} else if (ins instanceof MatrixReshapeMRInstruction) {
MatrixReshapeMRInstruction mrinst = (MatrixReshapeMRInstruction) ins;
MatrixCharacteristics in_dim = dims.get(mrinst.input);
dimOut.set(mrinst.getNumRows(), mrinst.getNumColunms(), in_dim.getRowsPerBlock(), in_dim.getColsPerBlock(), in_dim.getNonZeros());
} else if (ins instanceof RandInstruction || ins instanceof SeqInstruction) {
DataGenMRInstruction dataIns = (DataGenMRInstruction) ins;
dimOut.set(dims.get(dataIns.getInput()));
} else if (ins instanceof ReplicateInstruction) {
ReplicateInstruction realIns = (ReplicateInstruction) ins;
realIns.computeOutputDimension(dims.get(realIns.input), dimOut);
} else if (//before unary
ins instanceof ParameterizedBuiltinMRInstruction) {
ParameterizedBuiltinMRInstruction realIns = (ParameterizedBuiltinMRInstruction) ins;
realIns.computeOutputCharacteristics(dims.get(realIns.input), dimOut);
} else if (ins instanceof ScalarInstruction || ins instanceof AggregateInstruction || (ins instanceof UnaryInstruction && !(ins instanceof MMTSJMRInstruction)) || ins instanceof ZeroOutInstruction) {
UnaryMRInstructionBase realIns = (UnaryMRInstructionBase) ins;
dimOut.set(dims.get(realIns.input));
} else if (ins instanceof MMTSJMRInstruction) {
MMTSJMRInstruction mmtsj = (MMTSJMRInstruction) ins;
MMTSJType tstype = mmtsj.getMMTSJType();
MatrixCharacteristics mc = dims.get(mmtsj.input);
dimOut.set(tstype.isLeft() ? mc.numColumns : mc.numRows, tstype.isLeft() ? mc.numColumns : mc.numRows, mc.numRowsPerBlock, mc.numColumnsPerBlock);
} else if (ins instanceof PMMJMRInstruction) {
PMMJMRInstruction pmmins = (PMMJMRInstruction) ins;
MatrixCharacteristics mc = dims.get(pmmins.input2);
dimOut.set(pmmins.getNumRows(), mc.numColumns, mc.numRowsPerBlock, mc.numColumnsPerBlock);
} else if (ins instanceof RemoveEmptyMRInstruction) {
RemoveEmptyMRInstruction realIns = (RemoveEmptyMRInstruction) ins;
MatrixCharacteristics mc = dims.get(realIns.input1);
if (realIns.isRemoveRows())
dimOut.set(realIns.getOutputLen(), mc.getCols(), mc.numRowsPerBlock, mc.numColumnsPerBlock);
else
dimOut.set(mc.getRows(), realIns.getOutputLen(), mc.numRowsPerBlock, mc.numColumnsPerBlock);
} else if (//needs to be checked before binary
ins instanceof UaggOuterChainInstruction) {
UaggOuterChainInstruction realIns = (UaggOuterChainInstruction) ins;
MatrixCharacteristics mc1 = dims.get(realIns.input1);
MatrixCharacteristics mc2 = dims.get(realIns.input2);
realIns.computeOutputCharacteristics(mc1, mc2, dimOut);
} else if (ins instanceof GroupedAggregateMInstruction) {
GroupedAggregateMInstruction realIns = (GroupedAggregateMInstruction) ins;
MatrixCharacteristics mc1 = dims.get(realIns.input1);
realIns.computeOutputCharacteristics(mc1, dimOut);
} else if (ins instanceof BinaryInstruction || ins instanceof BinaryMInstruction || ins instanceof CombineBinaryInstruction) {
BinaryMRInstructionBase realIns = (BinaryMRInstructionBase) ins;
MatrixCharacteristics mc1 = dims.get(realIns.input1);
MatrixCharacteristics mc2 = dims.get(realIns.input2);
if (mc1.getRows() > 1 && mc1.getCols() == 1 && mc2.getRows() == 1 && //outer
mc2.getCols() > 1) {
dimOut.set(mc1.getRows(), mc2.getCols(), mc1.getRowsPerBlock(), mc2.getColsPerBlock());
} else {
//default case
dimOut.set(mc1);
}
} else if (ins instanceof CombineTernaryInstruction) {
TernaryInstruction realIns = (TernaryInstruction) ins;
dimOut.set(dims.get(realIns.input1));
} else if (ins instanceof CombineUnaryInstruction) {
dimOut.set(dims.get(((CombineUnaryInstruction) ins).input));
} else if (ins instanceof CM_N_COVInstruction || ins instanceof GroupedAggregateInstruction) {
dimOut.set(1, 1, 1, 1);
} else if (ins instanceof RangeBasedReIndexInstruction) {
RangeBasedReIndexInstruction realIns = (RangeBasedReIndexInstruction) ins;
MatrixCharacteristics dimIn = dims.get(realIns.input);
realIns.computeOutputCharacteristics(dimIn, dimOut);
} else if (ins instanceof TernaryInstruction) {
TernaryInstruction realIns = (TernaryInstruction) ins;
MatrixCharacteristics in_dim = dims.get(realIns.input1);
dimOut.set(realIns.getOutputDim1(), realIns.getOutputDim2(), in_dim.numRowsPerBlock, in_dim.numColumnsPerBlock);
} else {
/*
* if ins is none of the above cases then we assume that dim_out dimensions are unknown
*/
dimOut.numRows = -1;
dimOut.numColumns = -1;
dimOut.numRowsPerBlock = 1;
dimOut.numColumnsPerBlock = 1;
}
}
use of org.apache.sysml.runtime.instructions.mr.RemoveEmptyMRInstruction in project incubator-systemml by apache.
the class MRBaseForCommonInstructions method processOneInstruction.
protected void processOneInstruction(MRInstruction ins, Class<? extends MatrixValue> valueClass, CachedValueMap cachedValues, IndexedMatrixValue tempValue, IndexedMatrixValue zeroInput) throws DMLRuntimeException {
if (ins instanceof AggregateBinaryInstruction) {
byte input = ((AggregateBinaryInstruction) ins).input1;
MatrixCharacteristics dim = dimensions.get(input);
if (dim == null)
throw new DMLRuntimeException("dimension for instruction " + ins + " is unset!!!");
ins.processInstruction(valueClass, cachedValues, tempValue, zeroInput, dim.getRowsPerBlock(), dim.getColsPerBlock());
} else if (ins instanceof ZeroOutInstruction || ins instanceof AggregateUnaryInstruction || ins instanceof RangeBasedReIndexInstruction || ins instanceof CumulativeSplitInstruction) {
byte input = ((UnaryMRInstructionBase) ins).input;
MatrixCharacteristics dim = dimensions.get(input);
if (dim == null)
throw new DMLRuntimeException("dimension for instruction " + ins + " is unset!!!");
if (ins instanceof CumulativeAggregateInstruction)
((CumulativeAggregateInstruction) ins).setMatrixCharacteristics(dim);
if (ins instanceof CumulativeSplitInstruction)
((CumulativeSplitInstruction) ins).setMatrixCharacteristics(dim);
ins.processInstruction(valueClass, cachedValues, tempValue, zeroInput, dim.getRowsPerBlock(), dim.getColsPerBlock());
} else if (ins instanceof ReorgInstruction) {
ReorgInstruction rinst = (ReorgInstruction) ins;
byte input = rinst.input;
MatrixCharacteristics dim = dimensions.get(input);
if (dim == null)
throw new DMLRuntimeException("dimension for instruction " + ins + " is unset!!!");
rinst.setInputMatrixCharacteristics(dim);
//MMCJMRMapper does not output empty blocks, no need to generate
rinst.setOutputEmptyBlocks(!(this instanceof MMCJMRMapper));
ins.processInstruction(valueClass, cachedValues, tempValue, zeroInput, dim.getRowsPerBlock(), dim.getColsPerBlock());
} else if (ins instanceof MatrixReshapeMRInstruction) {
MatrixReshapeMRInstruction mrins = (MatrixReshapeMRInstruction) ins;
byte input = mrins.input;
byte output = mrins.output;
MatrixCharacteristics dimIn = dimensions.get(input);
MatrixCharacteristics dimOut = dimensions.get(output);
if (dimIn == null || dimOut == null)
throw new DMLRuntimeException("dimension for instruction " + ins + " is unset!!!");
mrins.setMatrixCharacteristics(dimIn, dimOut);
mrins.processInstruction(valueClass, cachedValues, tempValue, zeroInput, dimIn.getRowsPerBlock(), dimIn.getColsPerBlock());
} else if (ins instanceof AppendMInstruction) {
byte input = ((AppendMInstruction) ins).input1;
MatrixCharacteristics dim = dimensions.get(input);
if (dim == null)
throw new DMLRuntimeException("dimension for instruction " + ins + " is unset!!!");
ins.processInstruction(valueClass, cachedValues, tempValue, zeroInput, dim.getRowsPerBlock(), dim.getColsPerBlock());
} else if (ins instanceof BinaryMInstruction || ins instanceof RemoveEmptyMRInstruction) {
byte input = ((BinaryMRInstructionBase) ins).input1;
MatrixCharacteristics dim = dimensions.get(input);
if (dim == null)
throw new DMLRuntimeException("dimension for instruction " + ins + " is unset!!!");
ins.processInstruction(valueClass, cachedValues, tempValue, zeroInput, dim.getRowsPerBlock(), dim.getColsPerBlock());
} else if (ins instanceof AppendGInstruction) {
AppendGInstruction arinst = ((AppendGInstruction) ins);
byte input = arinst.input1;
MatrixCharacteristics dimIn = dimensions.get(input);
if (dimIn == null)
throw new DMLRuntimeException("Dimensions for instruction " + arinst + " is unset!!!");
arinst.processInstruction(valueClass, cachedValues, tempValue, zeroInput, dimIn.getRowsPerBlock(), dimIn.getColsPerBlock());
} else if (ins instanceof UnaryMRInstructionBase) {
UnaryMRInstructionBase rinst = (UnaryMRInstructionBase) ins;
MatrixCharacteristics dimIn = dimensions.get(rinst.input);
if (dimIn == null)
throw new DMLRuntimeException("Dimensions for instruction " + rinst + " is unset!!!");
rinst.processInstruction(valueClass, cachedValues, tempValue, zeroInput, dimIn.getRowsPerBlock(), dimIn.getColsPerBlock());
} else if (ins instanceof BinaryMRInstructionBase) {
BinaryMRInstructionBase rinst = (BinaryMRInstructionBase) ins;
MatrixCharacteristics dimIn = dimensions.get(rinst.input1);
if (//not set for all
dimIn != null)
rinst.processInstruction(valueClass, cachedValues, tempValue, zeroInput, dimIn.getRowsPerBlock(), dimIn.getColsPerBlock());
else
ins.processInstruction(valueClass, cachedValues, tempValue, zeroInput, -1, -1);
} else
ins.processInstruction(valueClass, cachedValues, tempValue, zeroInput, -1, -1);
//System.out.println(ins.getMRInstructionType()+" in "+time.stop());
}
use of org.apache.sysml.runtime.instructions.mr.RemoveEmptyMRInstruction in project incubator-systemml by apache.
the class MRJobConfiguration method computeMatrixCharacteristics.
/**
* NOTE: this method needs to be in-sync with MRBaseForCommonInstructions.processOneInstruction,
* otherwise, the latter will potentially fail with missing dimension information.
*
* @param job job configuration
* @param inputIndexes array of byte indexes
* @param dataGenInstructions data gen instructions as a string
* @param instructionsInMapper instruction in mapper as a string
* @param reblockInstructions reblock instructions as a string
* @param aggInstructionsInReducer aggregate instructions in reducer as a string
* @param aggBinInstructions binary aggregate instructions as a string
* @param otherInstructionsInReducer other instructions in reducer as a string
* @param resultIndexes array of byte result indexes
* @param mapOutputIndexes set of map output indexes
* @param forMMCJ ?
* @return reducer groups
* @throws DMLRuntimeException if DMLRuntimeException occurs
*/
public static MatrixChar_N_ReducerGroups computeMatrixCharacteristics(JobConf job, byte[] inputIndexes, String dataGenInstructions, String instructionsInMapper, String reblockInstructions, String aggInstructionsInReducer, String aggBinInstructions, String otherInstructionsInReducer, byte[] resultIndexes, HashSet<Byte> mapOutputIndexes, boolean forMMCJ) throws DMLRuntimeException {
HashSet<Byte> intermediateMatrixIndexes = new HashSet<Byte>();
HashMap<Byte, MatrixCharacteristics> dims = new HashMap<Byte, MatrixCharacteristics>();
for (byte i : inputIndexes) {
MatrixCharacteristics dim = new MatrixCharacteristics(getNumRows(job, i), getNumColumns(job, i), getNumRowsPerBlock(job, i), getNumColumnsPerBlock(job, i), getNumNonZero(job, i));
dims.put(i, dim);
}
DataGenMRInstruction[] dataGenIns = null;
dataGenIns = MRInstructionParser.parseDataGenInstructions(dataGenInstructions);
if (dataGenIns != null) {
for (DataGenMRInstruction ins : dataGenIns) {
MatrixCharacteristics.computeDimension(dims, ins);
}
}
MRInstruction[] insMapper = MRInstructionParser.parseMixedInstructions(instructionsInMapper);
if (insMapper != null) {
for (MRInstruction ins : insMapper) {
MatrixCharacteristics.computeDimension(dims, ins);
if (ins instanceof UnaryMRInstructionBase) {
UnaryMRInstructionBase tempIns = (UnaryMRInstructionBase) ins;
setIntermediateMatrixCharactristics(job, tempIns.input, dims.get(tempIns.input));
intermediateMatrixIndexes.add(tempIns.input);
} else if (ins instanceof AppendMInstruction) {
AppendMInstruction tempIns = (AppendMInstruction) ins;
setIntermediateMatrixCharactristics(job, tempIns.input1, dims.get(tempIns.input1));
intermediateMatrixIndexes.add(tempIns.input1);
} else if (ins instanceof AppendGInstruction) {
AppendGInstruction tempIns = (AppendGInstruction) ins;
setIntermediateMatrixCharactristics(job, tempIns.input1, dims.get(tempIns.input1));
intermediateMatrixIndexes.add(tempIns.input1);
} else if (ins instanceof BinaryMInstruction) {
BinaryMInstruction tempIns = (BinaryMInstruction) ins;
setIntermediateMatrixCharactristics(job, tempIns.input1, dims.get(tempIns.input1));
intermediateMatrixIndexes.add(tempIns.input1);
} else if (ins instanceof AggregateBinaryInstruction) {
AggregateBinaryInstruction tempIns = (AggregateBinaryInstruction) ins;
setIntermediateMatrixCharactristics(job, tempIns.input1, dims.get(tempIns.input1));
//TODO
intermediateMatrixIndexes.add(tempIns.input1);
} else if (ins instanceof MapMultChainInstruction) {
MapMultChainInstruction tempIns = (MapMultChainInstruction) ins;
setIntermediateMatrixCharactristics(job, tempIns.getInput1(), dims.get(tempIns.getInput2()));
intermediateMatrixIndexes.add(tempIns.getInput1());
} else if (ins instanceof PMMJMRInstruction) {
PMMJMRInstruction tempIns = (PMMJMRInstruction) ins;
setIntermediateMatrixCharactristics(job, tempIns.input2, dims.get(tempIns.input2));
intermediateMatrixIndexes.add(tempIns.input2);
}
}
}
ReblockInstruction[] reblockIns = MRInstructionParser.parseReblockInstructions(reblockInstructions);
if (reblockIns != null) {
for (ReblockInstruction ins : reblockIns) {
MatrixCharacteristics.computeDimension(dims, ins);
setMatrixCharactristicsForReblock(job, ins.output, dims.get(ins.output));
}
}
Instruction[] aggIns = MRInstructionParser.parseAggregateInstructions(aggInstructionsInReducer);
if (aggIns != null) {
for (Instruction ins : aggIns) {
MatrixCharacteristics.computeDimension(dims, (MRInstruction) ins);
// if instruction's output is not in resultIndexes, then add its dimensions to jobconf
MRInstruction mrins = (MRInstruction) ins;
boolean found = false;
for (byte b : resultIndexes) {
if (b == mrins.output) {
found = true;
break;
}
}
if (!found) {
setIntermediateMatrixCharactristics(job, mrins.output, dims.get(mrins.output));
intermediateMatrixIndexes.add(mrins.output);
}
}
}
long numReduceGroups = 0;
AggregateBinaryInstruction[] aggBinIns = getAggregateBinaryInstructions(job);
if (aggBinIns != null) {
for (AggregateBinaryInstruction ins : aggBinIns) {
MatrixCharacteristics dim1 = dims.get(ins.input1);
MatrixCharacteristics dim2 = dims.get(ins.input2);
setMatrixCharactristicsForBinAgg(job, ins.input1, dim1);
setMatrixCharactristicsForBinAgg(job, ins.input2, dim2);
MatrixCharacteristics.computeDimension(dims, ins);
if (//there will be only one aggbin operation for MMCJ
forMMCJ)
numReduceGroups = (long) Math.ceil((double) dim1.getCols() / (double) dim1.getColsPerBlock());
}
}
if (!forMMCJ) {
//store the skylines
ArrayList<Long> xs = new ArrayList<Long>(mapOutputIndexes.size());
ArrayList<Long> ys = new ArrayList<Long>(mapOutputIndexes.size());
for (byte idx : mapOutputIndexes) {
MatrixCharacteristics dim = dims.get(idx);
long x = (long) Math.ceil((double) dim.getRows() / (double) dim.getRowsPerBlock());
long y = (long) Math.ceil((double) dim.getCols() / (double) dim.getColsPerBlock());
int i = 0;
boolean toadd = true;
while (i < xs.size()) {
if ((x >= xs.get(i) && y > ys.get(i)) || (x > xs.get(i) && y >= ys.get(i))) {
//remove any included x's and y's
xs.remove(i);
ys.remove(i);
} else if (//if included in others, stop
x <= xs.get(i) && y <= ys.get(i)) {
toadd = false;
break;
} else
i++;
}
if (toadd) {
xs.add(x);
ys.add(y);
}
}
//sort by x
TreeMap<Long, Long> map = new TreeMap<Long, Long>();
for (int i = 0; i < xs.size(); i++) map.put(xs.get(i), ys.get(i));
numReduceGroups = 0;
//compute area
long prev = 0;
for (Entry<Long, Long> e : map.entrySet()) {
numReduceGroups += (e.getKey() - prev) * e.getValue();
prev = e.getKey();
}
}
MRInstruction[] insReducer = MRInstructionParser.parseMixedInstructions(otherInstructionsInReducer);
if (insReducer != null) {
for (MRInstruction ins : insReducer) {
MatrixCharacteristics.computeDimension(dims, ins);
if (ins instanceof UnaryMRInstructionBase) {
UnaryMRInstructionBase tempIns = (UnaryMRInstructionBase) ins;
setIntermediateMatrixCharactristics(job, tempIns.input, dims.get(tempIns.input));
intermediateMatrixIndexes.add(tempIns.input);
} else if (ins instanceof RemoveEmptyMRInstruction) {
RemoveEmptyMRInstruction tempIns = (RemoveEmptyMRInstruction) ins;
setIntermediateMatrixCharactristics(job, tempIns.input1, dims.get(tempIns.input1));
intermediateMatrixIndexes.add(tempIns.input1);
}
// if instruction's output is not in resultIndexes, then add its dimensions to jobconf
boolean found = false;
for (byte b : resultIndexes) {
if (b == ins.output) {
found = true;
break;
}
}
if (!found) {
setIntermediateMatrixCharactristics(job, ins.output, dims.get(ins.output));
intermediateMatrixIndexes.add(ins.output);
}
}
}
setIntermediateMatrixIndexes(job, intermediateMatrixIndexes);
for (byte tag : mapOutputIndexes) setMatrixCharactristicsForMapperOutput(job, tag, dims.get(tag));
MatrixCharacteristics[] stats = new MatrixCharacteristics[resultIndexes.length];
MatrixCharacteristics resultDims;
for (int i = 0; i < resultIndexes.length; i++) {
resultDims = dims.get(resultIndexes[i]);
stats[i] = resultDims;
setMatrixCharactristicsForOutput(job, resultIndexes[i], stats[i]);
}
return new MatrixChar_N_ReducerGroups(stats, numReduceGroups);
}
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