use of org.apache.sysml.runtime.util.IndexRange in project incubator-systemml by apache.
the class PartitionedBlock method sliceOperations.
/**
* Utility for slice operations over partitioned matrices, where the index range can cover
* multiple blocks. The result is always a single result matrix block. All semantics are
* equivalent to the core matrix block slice operations.
*
* @param rl row lower bound
* @param ru row upper bound
* @param cl column lower bound
* @param cu column upper bound
* @param block block object
* @return block object
* @throws DMLRuntimeException if DMLRuntimeException occurs
*/
@SuppressWarnings("unchecked")
public T sliceOperations(long rl, long ru, long cl, long cu, T block) throws DMLRuntimeException {
int lrl = (int) rl;
int lru = (int) ru;
int lcl = (int) cl;
int lcu = (int) cu;
ArrayList<Pair<?, ?>> allBlks = (ArrayList<Pair<?, ?>>) CacheBlockFactory.getPairList(block);
int start_iix = (lrl - 1) / _brlen + 1;
int end_iix = (lru - 1) / _brlen + 1;
int start_jix = (lcl - 1) / _bclen + 1;
int end_jix = (lcu - 1) / _bclen + 1;
for (int iix = start_iix; iix <= end_iix; iix++) for (int jix = start_jix; jix <= end_jix; jix++) {
IndexRange ixrange = new IndexRange(rl, ru, cl, cu);
allBlks.addAll(OperationsOnMatrixValues.performSlice(ixrange, _brlen, _bclen, iix, jix, getBlock(iix, jix)));
}
if (allBlks.size() == 1) {
return (T) allBlks.get(0).getValue();
} else {
//allocate output matrix
Constructor<?> constr;
try {
constr = block.getClass().getConstructor(int.class, int.class, boolean.class);
T ret = (T) constr.newInstance(lru - lrl + 1, lcu - lcl + 1, false);
for (Pair<?, ?> kv : allBlks) {
ret.merge((T) kv.getValue(), false);
}
return ret;
} catch (Exception e) {
throw new DMLRuntimeException(e);
}
}
}
use of org.apache.sysml.runtime.util.IndexRange in project incubator-systemml by apache.
the class FrameIndexingSPInstruction method processInstruction.
@Override
public void processInstruction(ExecutionContext ec) {
SparkExecutionContext sec = (SparkExecutionContext) ec;
String opcode = getOpcode();
// get indexing range
long rl = ec.getScalarInput(rowLower.getName(), rowLower.getValueType(), rowLower.isLiteral()).getLongValue();
long ru = ec.getScalarInput(rowUpper.getName(), rowUpper.getValueType(), rowUpper.isLiteral()).getLongValue();
long cl = ec.getScalarInput(colLower.getName(), colLower.getValueType(), colLower.isLiteral()).getLongValue();
long cu = ec.getScalarInput(colUpper.getName(), colUpper.getValueType(), colUpper.isLiteral()).getLongValue();
IndexRange ixrange = new IndexRange(rl, ru, cl, cu);
// right indexing
if (opcode.equalsIgnoreCase(RightIndex.OPCODE)) {
// update and check output dimensions
MatrixCharacteristics mcIn = sec.getMatrixCharacteristics(input1.getName());
MatrixCharacteristics mcOut = sec.getMatrixCharacteristics(output.getName());
mcOut.set(ru - rl + 1, cu - cl + 1, mcIn.getRowsPerBlock(), mcIn.getColsPerBlock());
checkValidOutputDimensions(mcOut);
// execute right indexing operation (partitioning-preserving if possible)
JavaPairRDD<Long, FrameBlock> in1 = sec.getFrameBinaryBlockRDDHandleForVariable(input1.getName());
JavaPairRDD<Long, FrameBlock> out = null;
if (isPartitioningPreservingRightIndexing(mcIn, ixrange)) {
out = in1.mapPartitionsToPair(new SliceBlockPartitionFunction(ixrange, mcOut), true);
} else {
out = in1.filter(new IsFrameBlockInRange(rl, ru, mcOut)).mapToPair(new SliceBlock(ixrange, mcOut));
}
// put output RDD handle into symbol table
sec.setRDDHandleForVariable(output.getName(), out);
sec.addLineageRDD(output.getName(), input1.getName());
// update schema of output with subset of input schema
sec.getFrameObject(output.getName()).setSchema(sec.getFrameObject(input1.getName()).getSchema((int) cl, (int) cu));
} else // left indexing
if (opcode.equalsIgnoreCase(LeftIndex.OPCODE) || opcode.equalsIgnoreCase("mapLeftIndex")) {
JavaPairRDD<Long, FrameBlock> in1 = sec.getFrameBinaryBlockRDDHandleForVariable(input1.getName());
PartitionedBroadcast<FrameBlock> broadcastIn2 = null;
JavaPairRDD<Long, FrameBlock> in2 = null;
JavaPairRDD<Long, FrameBlock> out = null;
// update and check output dimensions
MatrixCharacteristics mcOut = sec.getMatrixCharacteristics(output.getName());
MatrixCharacteristics mcLeft = ec.getMatrixCharacteristics(input1.getName());
mcOut.set(mcLeft.getRows(), mcLeft.getCols(), mcLeft.getRowsPerBlock(), mcLeft.getColsPerBlock());
checkValidOutputDimensions(mcOut);
// note: always frame rhs, scalars are preprocessed via cast to 1x1 frame
MatrixCharacteristics mcRight = ec.getMatrixCharacteristics(input2.getName());
// sanity check matching index range and rhs dimensions
if (!mcRight.dimsKnown()) {
throw new DMLRuntimeException("The right input frame dimensions are not specified for FrameIndexingSPInstruction");
}
if (!(ru - rl + 1 == mcRight.getRows() && cu - cl + 1 == mcRight.getCols())) {
throw new DMLRuntimeException("Invalid index range of leftindexing: [" + rl + ":" + ru + "," + cl + ":" + cu + "] vs [" + mcRight.getRows() + "x" + mcRight.getCols() + "].");
}
if (opcode.equalsIgnoreCase("mapLeftIndex")) {
broadcastIn2 = sec.getBroadcastForFrameVariable(input2.getName());
// partitioning-preserving mappartitions (key access required for broadcast loopkup)
out = in1.mapPartitionsToPair(new LeftIndexPartitionFunction(broadcastIn2, ixrange, mcOut), true);
} else {
// general case
// zero-out lhs
in1 = in1.flatMapToPair(new ZeroOutLHS(false, ixrange, mcLeft));
// slice rhs, shift and merge with lhs
in2 = sec.getFrameBinaryBlockRDDHandleForVariable(input2.getName()).flatMapToPair(new SliceRHSForLeftIndexing(ixrange, mcLeft));
out = FrameRDDAggregateUtils.mergeByKey(in1.union(in2));
}
sec.setRDDHandleForVariable(output.getName(), out);
sec.addLineageRDD(output.getName(), input1.getName());
if (broadcastIn2 != null)
sec.addLineageBroadcast(output.getName(), input2.getName());
if (in2 != null)
sec.addLineageRDD(output.getName(), input2.getName());
} else
throw new DMLRuntimeException("Invalid opcode (" + opcode + ") encountered in FrameIndexingSPInstruction.");
}
use of org.apache.sysml.runtime.util.IndexRange in project incubator-systemml by apache.
the class MatrixIndexingSPInstruction method processInstruction.
@Override
public void processInstruction(ExecutionContext ec) {
SparkExecutionContext sec = (SparkExecutionContext) ec;
String opcode = getOpcode();
// get indexing range
long rl = ec.getScalarInput(rowLower.getName(), rowLower.getValueType(), rowLower.isLiteral()).getLongValue();
long ru = ec.getScalarInput(rowUpper.getName(), rowUpper.getValueType(), rowUpper.isLiteral()).getLongValue();
long cl = ec.getScalarInput(colLower.getName(), colLower.getValueType(), colLower.isLiteral()).getLongValue();
long cu = ec.getScalarInput(colUpper.getName(), colUpper.getValueType(), colUpper.isLiteral()).getLongValue();
IndexRange ixrange = new IndexRange(rl, ru, cl, cu);
// right indexing
if (opcode.equalsIgnoreCase(RightIndex.OPCODE)) {
// update and check output dimensions
MatrixCharacteristics mcIn = sec.getMatrixCharacteristics(input1.getName());
MatrixCharacteristics mcOut = sec.getMatrixCharacteristics(output.getName());
mcOut.set(ru - rl + 1, cu - cl + 1, mcIn.getRowsPerBlock(), mcIn.getColsPerBlock());
mcOut.setNonZerosBound(Math.min(mcOut.getLength(), mcIn.getNonZerosBound()));
checkValidOutputDimensions(mcOut);
// execute right indexing operation (partitioning-preserving if possible)
JavaPairRDD<MatrixIndexes, MatrixBlock> in1 = sec.getBinaryBlockRDDHandleForVariable(input1.getName());
if (isSingleBlockLookup(mcIn, ixrange)) {
sec.setMatrixOutput(output.getName(), singleBlockIndexing(in1, mcIn, mcOut, ixrange), getExtendedOpcode());
} else if (isMultiBlockLookup(in1, mcIn, mcOut, ixrange)) {
sec.setMatrixOutput(output.getName(), multiBlockIndexing(in1, mcIn, mcOut, ixrange), getExtendedOpcode());
} else {
// rdd output for general case
JavaPairRDD<MatrixIndexes, MatrixBlock> out = generalCaseRightIndexing(in1, mcIn, mcOut, ixrange, _aggType);
// put output RDD handle into symbol table
sec.setRDDHandleForVariable(output.getName(), out);
sec.addLineageRDD(output.getName(), input1.getName());
}
} else // left indexing
if (opcode.equalsIgnoreCase(LeftIndex.OPCODE) || opcode.equalsIgnoreCase("mapLeftIndex")) {
String rddVar = (_type == LixCacheType.LEFT) ? input2.getName() : input1.getName();
String bcVar = (_type == LixCacheType.LEFT) ? input1.getName() : input2.getName();
JavaPairRDD<MatrixIndexes, MatrixBlock> in1 = sec.getBinaryBlockRDDHandleForVariable(rddVar);
PartitionedBroadcast<MatrixBlock> broadcastIn2 = null;
JavaPairRDD<MatrixIndexes, MatrixBlock> in2 = null;
JavaPairRDD<MatrixIndexes, MatrixBlock> out = null;
// update and check output dimensions
MatrixCharacteristics mcOut = sec.getMatrixCharacteristics(output.getName());
MatrixCharacteristics mcLeft = ec.getMatrixCharacteristics(input1.getName());
mcOut.set(mcLeft.getRows(), mcLeft.getCols(), mcLeft.getRowsPerBlock(), mcLeft.getColsPerBlock());
checkValidOutputDimensions(mcOut);
// note: always matrix rhs, scalars are preprocessed via cast to 1x1 matrix
MatrixCharacteristics mcRight = ec.getMatrixCharacteristics(input2.getName());
// sanity check matching index range and rhs dimensions
if (!mcRight.dimsKnown()) {
throw new DMLRuntimeException("The right input matrix dimensions are not specified for MatrixIndexingSPInstruction");
}
if (!(ru - rl + 1 == mcRight.getRows() && cu - cl + 1 == mcRight.getCols())) {
throw new DMLRuntimeException("Invalid index range of leftindexing: [" + rl + ":" + ru + "," + cl + ":" + cu + "] vs [" + mcRight.getRows() + "x" + mcRight.getCols() + "].");
}
if (opcode.equalsIgnoreCase("mapLeftIndex")) {
broadcastIn2 = sec.getBroadcastForVariable(bcVar);
// partitioning-preserving mappartitions (key access required for broadcast loopkup)
out = in1.mapPartitionsToPair(new LeftIndexPartitionFunction(broadcastIn2, ixrange, _type, mcOut), true);
} else {
// general case
// zero-out lhs
in1 = in1.mapToPair(new ZeroOutLHS(false, ixrange, mcLeft));
// slice rhs, shift and merge with lhs
in2 = sec.getBinaryBlockRDDHandleForVariable(input2.getName()).flatMapToPair(new SliceRHSForLeftIndexing(ixrange, mcLeft));
out = RDDAggregateUtils.mergeByKey(in1.union(in2));
}
sec.setRDDHandleForVariable(output.getName(), out);
sec.addLineageRDD(output.getName(), rddVar);
if (broadcastIn2 != null)
sec.addLineageBroadcast(output.getName(), bcVar);
if (in2 != null)
sec.addLineageRDD(output.getName(), input2.getName());
} else
throw new DMLRuntimeException("Invalid opcode (" + opcode + ") encountered in MatrixIndexingSPInstruction.");
}
use of org.apache.sysml.runtime.util.IndexRange in project incubator-systemml by apache.
the class MatrixIndexingCPFileInstruction method processInstruction.
@Override
public void processInstruction(ExecutionContext ec) {
String opcode = getOpcode();
IndexRange ixrange = getIndexRange(ec).add(1);
MatrixObject mo = ec.getMatrixObject(input1.getName());
if (mo.isPartitioned() && opcode.equalsIgnoreCase(RightIndex.OPCODE)) {
MetaDataFormat meta = (MetaDataFormat) mo.getMetaData();
MatrixCharacteristics mc = meta.getMatrixCharacteristics();
String pfname = mo.getPartitionFileName(ixrange, mc.getRowsPerBlock(), mc.getColsPerBlock());
if (MapReduceTool.existsFileOnHDFS(pfname)) {
// create output matrix object
MatrixObject mobj = new MatrixObject(mo.getValueType(), pfname);
MatrixCharacteristics mcNew = null;
switch(mo.getPartitionFormat()) {
case ROW_WISE:
mcNew = new MatrixCharacteristics(1, mc.getCols(), mc.getRowsPerBlock(), mc.getColsPerBlock());
break;
case ROW_BLOCK_WISE_N:
mcNew = new MatrixCharacteristics(mo.getPartitionSize(), mc.getCols(), mc.getRowsPerBlock(), mc.getColsPerBlock());
break;
case COLUMN_WISE:
mcNew = new MatrixCharacteristics(mc.getRows(), 1, mc.getRowsPerBlock(), mc.getColsPerBlock());
break;
case COLUMN_BLOCK_WISE_N:
mcNew = new MatrixCharacteristics(mc.getRows(), mo.getPartitionSize(), mc.getRowsPerBlock(), mc.getColsPerBlock());
break;
default:
throw new DMLRuntimeException("Unsupported partition format for CP_FILE " + RightIndex.OPCODE + ": " + mo.getPartitionFormat());
}
MetaDataFormat metaNew = new MetaDataFormat(mcNew, meta.getOutputInfo(), meta.getInputInfo());
mobj.setMetaData(metaNew);
// put output object into symbol table
ec.setVariable(output.getName(), mobj);
} else {
// will return an empty matrix partition
MatrixBlock resultBlock = mo.readMatrixPartition(ixrange);
ec.setMatrixOutput(output.getName(), resultBlock, getExtendedOpcode());
}
} else {
throw new DMLRuntimeException("Invalid opcode or index predicate for MatrixIndexingCPFileInstruction: " + instString);
}
}
use of org.apache.sysml.runtime.util.IndexRange in project incubator-systemml by apache.
the class RangeBasedReIndexInstruction method parseInstruction.
public static RangeBasedReIndexInstruction parseInstruction(String str) {
InstructionUtils.checkNumFields(str, 8);
String[] parts = InstructionUtils.getInstructionParts(str);
String opcode = parts[0];
boolean forLeft = false;
if (opcode.equalsIgnoreCase(RightIndex.OPCODE + "ForLeft"))
forLeft = true;
else if (!opcode.equalsIgnoreCase(RightIndex.OPCODE))
throw new DMLRuntimeException("Unknown opcode while parsing a Select: " + str);
byte in = Byte.parseByte(parts[1]);
IndexRange rng = new IndexRange(UtilFunctions.parseToLong(parts[2]), UtilFunctions.parseToLong(parts[3]), UtilFunctions.parseToLong(parts[4]), UtilFunctions.parseToLong(parts[5]));
byte out = Byte.parseByte(parts[6]);
long rlen = Long.parseLong(parts[7]);
long clen = Long.parseLong(parts[8]);
return new RangeBasedReIndexInstruction(new ReIndexOperator(), in, out, rng, forLeft, rlen, clen, str);
}
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