use of org.apache.sysml.runtime.matrix.operators.AggregateOperator in project incubator-systemml by apache.
the class ReduceBase method processAggregateHelp.
// process one aggregate instruction
private void processAggregateHelp(long row, long col, MatrixValue value, AggregateInstruction instruction, boolean imbededCorrection) {
AggregateOperator aggOp = (AggregateOperator) instruction.getOperator();
// there should be just one value in cache.
IndexedMatrixValue out = cachedValues.getFirst(instruction.output);
IndexedMatrixValue correction = null;
if (// && !imbededCorrection)
aggOp.correctionExists) {
correction = correctionCache.getFirst(instruction.output);
}
if (out == null) {
out = cachedValues.holdPlace(instruction.output, valueClass);
out.getIndexes().setIndexes(row, col);
// System.out.println("out: "+out);
if (// && !imbededCorrection)
aggOp.correctionExists) {
if (correction == null)
correction = correctionCache.holdPlace(instruction.output, valueClass);
OperationsOnMatrixValues.startAggregation(out.getValue(), correction.getValue(), aggOp, value.getNumRows(), value.getNumColumns(), value.isInSparseFormat(), imbededCorrection);
} else
OperationsOnMatrixValues.startAggregation(out.getValue(), null, aggOp, value.getNumRows(), value.getNumColumns(), value.isInSparseFormat(), imbededCorrection);
}
if (// && !imbededCorrection)
aggOp.correctionExists)
OperationsOnMatrixValues.incrementalAggregation(out.getValue(), correction.getValue(), value, (AggregateOperator) instruction.getOperator(), imbededCorrection);
else
OperationsOnMatrixValues.incrementalAggregation(out.getValue(), null, value, (AggregateOperator) instruction.getOperator(), imbededCorrection);
}
use of org.apache.sysml.runtime.matrix.operators.AggregateOperator in project systemml by apache.
the class InstructionUtils method parseAggregateOperator.
public static AggregateOperator parseAggregateOperator(String opcode, String corrExists, String corrLoc) {
AggregateOperator agg = null;
if (opcode.equalsIgnoreCase("ak+") || opcode.equalsIgnoreCase("aktrace")) {
boolean lcorrExists = (corrExists == null) ? true : Boolean.parseBoolean(corrExists);
CorrectionLocationType lcorrLoc = (corrLoc == null) ? CorrectionLocationType.LASTCOLUMN : CorrectionLocationType.valueOf(corrLoc);
agg = new AggregateOperator(0, KahanPlus.getKahanPlusFnObject(), lcorrExists, lcorrLoc);
} else if (opcode.equalsIgnoreCase("asqk+")) {
boolean lcorrExists = (corrExists == null) ? true : Boolean.parseBoolean(corrExists);
CorrectionLocationType lcorrLoc = (corrLoc == null) ? CorrectionLocationType.LASTCOLUMN : CorrectionLocationType.valueOf(corrLoc);
agg = new AggregateOperator(0, KahanPlusSq.getKahanPlusSqFnObject(), lcorrExists, lcorrLoc);
} else if (opcode.equalsIgnoreCase("a+")) {
agg = new AggregateOperator(0, Plus.getPlusFnObject());
} else if (opcode.equalsIgnoreCase("a*")) {
agg = new AggregateOperator(1, Multiply.getMultiplyFnObject());
} else if (opcode.equalsIgnoreCase("arimax")) {
agg = new AggregateOperator(Double.NEGATIVE_INFINITY, Builtin.getBuiltinFnObject("maxindex"), true, CorrectionLocationType.LASTCOLUMN);
} else if (opcode.equalsIgnoreCase("amax")) {
agg = new AggregateOperator(Double.NEGATIVE_INFINITY, Builtin.getBuiltinFnObject("max"));
} else if (opcode.equalsIgnoreCase("amin")) {
agg = new AggregateOperator(Double.POSITIVE_INFINITY, Builtin.getBuiltinFnObject("min"));
} else if (opcode.equalsIgnoreCase("arimin")) {
agg = new AggregateOperator(Double.POSITIVE_INFINITY, Builtin.getBuiltinFnObject("minindex"), true, CorrectionLocationType.LASTCOLUMN);
} else if (opcode.equalsIgnoreCase("amean")) {
boolean lcorrExists = (corrExists == null) ? true : Boolean.parseBoolean(corrExists);
CorrectionLocationType lcorrLoc = (corrLoc == null) ? CorrectionLocationType.LASTTWOCOLUMNS : CorrectionLocationType.valueOf(corrLoc);
agg = new AggregateOperator(0, KahanPlus.getKahanPlusFnObject(), lcorrExists, lcorrLoc);
} else if (opcode.equalsIgnoreCase("avar")) {
boolean lcorrExists = (corrExists == null) ? true : Boolean.parseBoolean(corrExists);
CorrectionLocationType lcorrLoc = (corrLoc == null) ? CorrectionLocationType.LASTFOURCOLUMNS : CorrectionLocationType.valueOf(corrLoc);
CM varFn = CM.getCMFnObject(AggregateOperationTypes.VARIANCE);
agg = new AggregateOperator(0, varFn, lcorrExists, lcorrLoc);
}
return agg;
}
use of org.apache.sysml.runtime.matrix.operators.AggregateOperator in project systemml by apache.
the class InstructionUtils method parseAggregateTernaryOperator.
public static AggregateTernaryOperator parseAggregateTernaryOperator(String opcode, int numThreads) {
CorrectionLocationType corr = opcode.equalsIgnoreCase("tak+*") ? CorrectionLocationType.LASTCOLUMN : CorrectionLocationType.LASTROW;
AggregateOperator agg = new AggregateOperator(0, KahanPlus.getKahanPlusFnObject(), true, corr);
IndexFunction ixfun = opcode.equalsIgnoreCase("tak+*") ? ReduceAll.getReduceAllFnObject() : ReduceRow.getReduceRowFnObject();
return new AggregateTernaryOperator(Multiply.getMultiplyFnObject(), agg, ixfun, numThreads);
}
use of org.apache.sysml.runtime.matrix.operators.AggregateOperator in project systemml by apache.
the class UaggOuterChainCPInstruction method parseInstruction.
public static UaggOuterChainCPInstruction parseInstruction(String str) {
String[] parts = InstructionUtils.getInstructionPartsWithValueType(str);
String opcode = parts[0];
if (opcode.equalsIgnoreCase(UAggOuterChain.OPCODE)) {
AggregateUnaryOperator uaggop = InstructionUtils.parseBasicAggregateUnaryOperator(parts[1]);
BinaryOperator bop = InstructionUtils.parseBinaryOperator(parts[2]);
CPOperand in1 = new CPOperand(parts[3]);
CPOperand in2 = new CPOperand(parts[4]);
CPOperand out = new CPOperand(parts[5]);
// derive aggregation operator from unary operator
String aopcode = InstructionUtils.deriveAggregateOperatorOpcode(parts[1]);
CorrectionLocationType corrLoc = InstructionUtils.deriveAggregateOperatorCorrectionLocation(parts[1]);
String corrExists = (corrLoc != CorrectionLocationType.NONE) ? "true" : "false";
AggregateOperator aop = InstructionUtils.parseAggregateOperator(aopcode, corrExists, corrLoc.toString());
return new UaggOuterChainCPInstruction(bop, uaggop, aop, in1, in2, out, opcode, str);
} else {
throw new DMLRuntimeException("UaggOuterChainCPInstruction.parseInstruction():: Unknown opcode " + opcode);
}
}
use of org.apache.sysml.runtime.matrix.operators.AggregateOperator in project systemml by apache.
the class ReduceBase method processAggregateHelp.
// process one aggregate instruction
private void processAggregateHelp(long row, long col, MatrixValue value, AggregateInstruction instruction, boolean imbededCorrection) {
AggregateOperator aggOp = (AggregateOperator) instruction.getOperator();
// there should be just one value in cache.
IndexedMatrixValue out = cachedValues.getFirst(instruction.output);
IndexedMatrixValue correction = null;
if (// && !imbededCorrection)
aggOp.correctionExists) {
correction = correctionCache.getFirst(instruction.output);
}
if (out == null) {
out = cachedValues.holdPlace(instruction.output, valueClass);
out.getIndexes().setIndexes(row, col);
// System.out.println("out: "+out);
if (// && !imbededCorrection)
aggOp.correctionExists) {
if (correction == null)
correction = correctionCache.holdPlace(instruction.output, valueClass);
OperationsOnMatrixValues.startAggregation(out.getValue(), correction.getValue(), aggOp, value.getNumRows(), value.getNumColumns(), value.isInSparseFormat(), imbededCorrection);
} else
OperationsOnMatrixValues.startAggregation(out.getValue(), null, aggOp, value.getNumRows(), value.getNumColumns(), value.isInSparseFormat(), imbededCorrection);
}
if (// && !imbededCorrection)
aggOp.correctionExists)
OperationsOnMatrixValues.incrementalAggregation(out.getValue(), correction.getValue(), value, (AggregateOperator) instruction.getOperator(), imbededCorrection);
else
OperationsOnMatrixValues.incrementalAggregation(out.getValue(), null, value, (AggregateOperator) instruction.getOperator(), imbededCorrection);
}
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