use of org.apache.sysml.lops.BinaryScalar in project systemml by apache.
the class BinaryOp method constructLopsBinaryDefault.
private void constructLopsBinaryDefault() {
/* Default behavior for BinaryOp */
// it depends on input data types
DataType dt1 = getInput().get(0).getDataType();
DataType dt2 = getInput().get(1).getDataType();
if (dt1 == dt2 && dt1 == DataType.SCALAR) {
// Both operands scalar
BinaryScalar binScalar1 = new BinaryScalar(getInput().get(0).constructLops(), getInput().get(1).constructLops(), HopsOpOp2LopsBS.get(op), getDataType(), getValueType());
binScalar1.getOutputParameters().setDimensions(0, 0, 0, 0, -1);
setLineNumbers(binScalar1);
setLops(binScalar1);
} else if ((dt1 == DataType.MATRIX && dt2 == DataType.SCALAR) || (dt1 == DataType.SCALAR && dt2 == DataType.MATRIX)) {
// One operand is Matrix and the other is scalar
ExecType et = optFindExecType();
// select specific operator implementations
Unary.OperationTypes ot = null;
Hop right = getInput().get(1);
if (op == OpOp2.POW && right instanceof LiteralOp && ((LiteralOp) right).getDoubleValue() == 2.0)
ot = Unary.OperationTypes.POW2;
else if (op == OpOp2.MULT && right instanceof LiteralOp && ((LiteralOp) right).getDoubleValue() == 2.0)
ot = Unary.OperationTypes.MULTIPLY2;
else
// general case
ot = HopsOpOp2LopsU.get(op);
Unary unary1 = new Unary(getInput().get(0).constructLops(), getInput().get(1).constructLops(), ot, getDataType(), getValueType(), et);
setOutputDimensions(unary1);
setLineNumbers(unary1);
setLops(unary1);
} else {
// Both operands are Matrixes
ExecType et = optFindExecType();
boolean isGPUSoftmax = et == ExecType.GPU && op == Hop.OpOp2.DIV && getInput().get(0) instanceof UnaryOp && getInput().get(1) instanceof AggUnaryOp && ((UnaryOp) getInput().get(0)).getOp() == OpOp1.EXP && ((AggUnaryOp) getInput().get(1)).getOp() == AggOp.SUM && ((AggUnaryOp) getInput().get(1)).getDirection() == Direction.Row && getInput().get(0) == getInput().get(1).getInput().get(0);
if (isGPUSoftmax) {
UnaryCP softmax = new UnaryCP(getInput().get(0).getInput().get(0).constructLops(), UnaryCP.OperationTypes.SOFTMAX, getDataType(), getValueType(), et);
setOutputDimensions(softmax);
setLineNumbers(softmax);
setLops(softmax);
} else if (et == ExecType.CP || et == ExecType.GPU) {
Lop binary = null;
boolean isLeftXGt = (getInput().get(0) instanceof BinaryOp) && ((BinaryOp) getInput().get(0)).getOp() == OpOp2.GREATER;
Hop potentialZero = isLeftXGt ? ((BinaryOp) getInput().get(0)).getInput().get(1) : null;
boolean isLeftXGt0 = isLeftXGt && potentialZero != null && potentialZero instanceof LiteralOp && ((LiteralOp) potentialZero).getDoubleValue() == 0;
if (op == OpOp2.MULT && isLeftXGt0 && !getInput().get(0).isVector() && !getInput().get(1).isVector() && getInput().get(0).dimsKnown() && getInput().get(1).dimsKnown()) {
binary = new ConvolutionTransform(getInput().get(0).getInput().get(0).constructLops(), getInput().get(1).constructLops(), ConvolutionTransform.OperationTypes.RELU_BACKWARD, getDataType(), getValueType(), et, -1);
} else
binary = new Binary(getInput().get(0).constructLops(), getInput().get(1).constructLops(), HopsOpOp2LopsB.get(op), getDataType(), getValueType(), et);
setOutputDimensions(binary);
setLineNumbers(binary);
setLops(binary);
} else if (et == ExecType.SPARK) {
Hop left = getInput().get(0);
Hop right = getInput().get(1);
MMBinaryMethod mbin = optFindMMBinaryMethodSpark(left, right);
Lop binary = null;
if (mbin == MMBinaryMethod.MR_BINARY_UAGG_CHAIN) {
AggUnaryOp uRight = (AggUnaryOp) right;
binary = new BinaryUAggChain(left.constructLops(), HopsOpOp2LopsB.get(op), HopsAgg2Lops.get(uRight.getOp()), HopsDirection2Lops.get(uRight.getDirection()), getDataType(), getValueType(), et);
} else if (mbin == MMBinaryMethod.MR_BINARY_M) {
boolean partitioned = false;
boolean isColVector = (right.getDim2() == 1 && left.getDim1() == right.getDim1());
binary = new BinaryM(left.constructLops(), right.constructLops(), HopsOpOp2LopsB.get(op), getDataType(), getValueType(), et, partitioned, isColVector);
} else {
binary = new Binary(left.constructLops(), right.constructLops(), HopsOpOp2LopsB.get(op), getDataType(), getValueType(), et);
}
setOutputDimensions(binary);
setLineNumbers(binary);
setLops(binary);
} else // MR
{
Hop left = getInput().get(0);
Hop right = getInput().get(1);
MMBinaryMethod mbin = optFindMMBinaryMethod(left, right);
if (mbin == MMBinaryMethod.MR_BINARY_M) {
boolean needPart = requiresPartitioning(right);
Lop dcInput = right.constructLops();
if (needPart) {
// right side in distributed cache
ExecType etPart = (OptimizerUtils.estimateSizeExactSparsity(right.getDim1(), right.getDim2(), OptimizerUtils.getSparsity(right.getDim1(), right.getDim2(), right.getNnz())) < OptimizerUtils.getLocalMemBudget()) ? ExecType.CP : // operator selection
ExecType.MR;
dcInput = new DataPartition(dcInput, DataType.MATRIX, ValueType.DOUBLE, etPart, (right.getDim2() == 1) ? PDataPartitionFormat.ROW_BLOCK_WISE_N : PDataPartitionFormat.COLUMN_BLOCK_WISE_N);
dcInput.getOutputParameters().setDimensions(right.getDim1(), right.getDim2(), right.getRowsInBlock(), right.getColsInBlock(), right.getNnz());
dcInput.setAllPositions(right.getFilename(), right.getBeginLine(), right.getBeginColumn(), right.getEndLine(), right.getEndColumn());
}
BinaryM binary = new BinaryM(left.constructLops(), dcInput, HopsOpOp2LopsB.get(op), getDataType(), getValueType(), ExecType.MR, needPart, (right.getDim2() == 1 && left.getDim1() == right.getDim1()));
setOutputDimensions(binary);
setLineNumbers(binary);
setLops(binary);
} else if (mbin == MMBinaryMethod.MR_BINARY_UAGG_CHAIN) {
AggUnaryOp uRight = (AggUnaryOp) right;
BinaryUAggChain bin = new BinaryUAggChain(left.constructLops(), HopsOpOp2LopsB.get(op), HopsAgg2Lops.get(uRight.getOp()), HopsDirection2Lops.get(uRight.getDirection()), getDataType(), getValueType(), et);
setOutputDimensions(bin);
setLineNumbers(bin);
setLops(bin);
} else if (mbin == MMBinaryMethod.MR_BINARY_OUTER_R) {
boolean requiresRepLeft = (!right.dimsKnown() || right.getDim2() > right.getColsInBlock());
boolean requiresRepRight = (!left.dimsKnown() || left.getDim1() > right.getRowsInBlock());
Lop leftLop = left.constructLops();
Lop rightLop = right.constructLops();
if (requiresRepLeft) {
// ncol of right determines rep of left
Lop offset = createOffsetLop(right, true);
leftLop = new RepMat(leftLop, offset, true, left.getDataType(), left.getValueType());
setOutputDimensions(leftLop);
setLineNumbers(leftLop);
}
if (requiresRepRight) {
// nrow of right determines rep of right
Lop offset = createOffsetLop(left, false);
rightLop = new RepMat(rightLop, offset, false, right.getDataType(), right.getValueType());
setOutputDimensions(rightLop);
setLineNumbers(rightLop);
}
Group group1 = new Group(leftLop, Group.OperationTypes.Sort, getDataType(), getValueType());
setLineNumbers(group1);
setOutputDimensions(group1);
Group group2 = new Group(rightLop, Group.OperationTypes.Sort, getDataType(), getValueType());
setLineNumbers(group2);
setOutputDimensions(group2);
Binary binary = new Binary(group1, group2, HopsOpOp2LopsB.get(op), getDataType(), getValueType(), et);
setOutputDimensions(binary);
setLineNumbers(binary);
setLops(binary);
} else // MMBinaryMethod.MR_BINARY_R
{
boolean requiresRep = requiresReplication(left, right);
Lop rightLop = right.constructLops();
if (requiresRep) {
// ncol of left input (determines num replicates)
Lop offset = createOffsetLop(left, (right.getDim2() <= 1));
rightLop = new RepMat(rightLop, offset, (right.getDim2() <= 1), right.getDataType(), right.getValueType());
setOutputDimensions(rightLop);
setLineNumbers(rightLop);
}
Group group1 = new Group(getInput().get(0).constructLops(), Group.OperationTypes.Sort, getDataType(), getValueType());
setLineNumbers(group1);
setOutputDimensions(group1);
Group group2 = new Group(rightLop, Group.OperationTypes.Sort, getDataType(), getValueType());
setLineNumbers(group2);
setOutputDimensions(group2);
Binary binary = new Binary(group1, group2, HopsOpOp2LopsB.get(op), getDataType(), getValueType(), et);
setLineNumbers(binary);
setOutputDimensions(binary);
setLops(binary);
}
}
}
}
use of org.apache.sysml.lops.BinaryScalar in project incubator-systemml by apache.
the class BinaryOp method constructLopsBinaryDefault.
private void constructLopsBinaryDefault() {
/* Default behavior for BinaryOp */
// it depends on input data types
DataType dt1 = getInput().get(0).getDataType();
DataType dt2 = getInput().get(1).getDataType();
if (dt1 == dt2 && dt1 == DataType.SCALAR) {
// Both operands scalar
BinaryScalar binScalar1 = new BinaryScalar(getInput().get(0).constructLops(), getInput().get(1).constructLops(), HopsOpOp2LopsBS.get(op), getDataType(), getValueType());
binScalar1.getOutputParameters().setDimensions(0, 0, 0, 0, -1);
setLineNumbers(binScalar1);
setLops(binScalar1);
} else if ((dt1 == DataType.MATRIX && dt2 == DataType.SCALAR) || (dt1 == DataType.SCALAR && dt2 == DataType.MATRIX)) {
// One operand is Matrix and the other is scalar
ExecType et = optFindExecType();
// select specific operator implementations
Unary.OperationTypes ot = null;
Hop right = getInput().get(1);
if (op == OpOp2.POW && right instanceof LiteralOp && ((LiteralOp) right).getDoubleValue() == 2.0)
ot = Unary.OperationTypes.POW2;
else if (op == OpOp2.MULT && right instanceof LiteralOp && ((LiteralOp) right).getDoubleValue() == 2.0)
ot = Unary.OperationTypes.MULTIPLY2;
else
// general case
ot = HopsOpOp2LopsU.get(op);
Unary unary1 = new Unary(getInput().get(0).constructLops(), getInput().get(1).constructLops(), ot, getDataType(), getValueType(), et);
setOutputDimensions(unary1);
setLineNumbers(unary1);
setLops(unary1);
} else {
// Both operands are Matrixes
ExecType et = optFindExecType();
boolean isGPUSoftmax = et == ExecType.GPU && op == Hop.OpOp2.DIV && getInput().get(0) instanceof UnaryOp && getInput().get(1) instanceof AggUnaryOp && ((UnaryOp) getInput().get(0)).getOp() == OpOp1.EXP && ((AggUnaryOp) getInput().get(1)).getOp() == AggOp.SUM && ((AggUnaryOp) getInput().get(1)).getDirection() == Direction.Row && getInput().get(0) == getInput().get(1).getInput().get(0);
if (isGPUSoftmax) {
UnaryCP softmax = new UnaryCP(getInput().get(0).getInput().get(0).constructLops(), UnaryCP.OperationTypes.SOFTMAX, getDataType(), getValueType(), et);
setOutputDimensions(softmax);
setLineNumbers(softmax);
setLops(softmax);
} else if (et == ExecType.CP || et == ExecType.GPU) {
Lop binary = null;
boolean isLeftXGt = (getInput().get(0) instanceof BinaryOp) && ((BinaryOp) getInput().get(0)).getOp() == OpOp2.GREATER;
Hop potentialZero = isLeftXGt ? ((BinaryOp) getInput().get(0)).getInput().get(1) : null;
boolean isLeftXGt0 = isLeftXGt && potentialZero != null && potentialZero instanceof LiteralOp && ((LiteralOp) potentialZero).getDoubleValue() == 0;
if (op == OpOp2.MULT && isLeftXGt0 && !getInput().get(0).isVector() && !getInput().get(1).isVector() && getInput().get(0).dimsKnown() && getInput().get(1).dimsKnown()) {
binary = new ConvolutionTransform(getInput().get(0).getInput().get(0).constructLops(), getInput().get(1).constructLops(), ConvolutionTransform.OperationTypes.RELU_BACKWARD, getDataType(), getValueType(), et, -1);
} else
binary = new Binary(getInput().get(0).constructLops(), getInput().get(1).constructLops(), HopsOpOp2LopsB.get(op), getDataType(), getValueType(), et);
setOutputDimensions(binary);
setLineNumbers(binary);
setLops(binary);
} else if (et == ExecType.SPARK) {
Hop left = getInput().get(0);
Hop right = getInput().get(1);
MMBinaryMethod mbin = optFindMMBinaryMethodSpark(left, right);
Lop binary = null;
if (mbin == MMBinaryMethod.MR_BINARY_UAGG_CHAIN) {
AggUnaryOp uRight = (AggUnaryOp) right;
binary = new BinaryUAggChain(left.constructLops(), HopsOpOp2LopsB.get(op), HopsAgg2Lops.get(uRight.getOp()), HopsDirection2Lops.get(uRight.getDirection()), getDataType(), getValueType(), et);
} else if (mbin == MMBinaryMethod.MR_BINARY_M) {
boolean partitioned = false;
boolean isColVector = (right.getDim2() == 1 && left.getDim1() == right.getDim1());
binary = new BinaryM(left.constructLops(), right.constructLops(), HopsOpOp2LopsB.get(op), getDataType(), getValueType(), et, partitioned, isColVector);
} else {
binary = new Binary(left.constructLops(), right.constructLops(), HopsOpOp2LopsB.get(op), getDataType(), getValueType(), et);
}
setOutputDimensions(binary);
setLineNumbers(binary);
setLops(binary);
} else // MR
{
Hop left = getInput().get(0);
Hop right = getInput().get(1);
MMBinaryMethod mbin = optFindMMBinaryMethod(left, right);
if (mbin == MMBinaryMethod.MR_BINARY_M) {
boolean needPart = requiresPartitioning(right);
Lop dcInput = right.constructLops();
if (needPart) {
// right side in distributed cache
ExecType etPart = (OptimizerUtils.estimateSizeExactSparsity(right.getDim1(), right.getDim2(), OptimizerUtils.getSparsity(right.getDim1(), right.getDim2(), right.getNnz())) < OptimizerUtils.getLocalMemBudget()) ? ExecType.CP : // operator selection
ExecType.MR;
dcInput = new DataPartition(dcInput, DataType.MATRIX, ValueType.DOUBLE, etPart, (right.getDim2() == 1) ? PDataPartitionFormat.ROW_BLOCK_WISE_N : PDataPartitionFormat.COLUMN_BLOCK_WISE_N);
dcInput.getOutputParameters().setDimensions(right.getDim1(), right.getDim2(), right.getRowsInBlock(), right.getColsInBlock(), right.getNnz());
dcInput.setAllPositions(right.getFilename(), right.getBeginLine(), right.getBeginColumn(), right.getEndLine(), right.getEndColumn());
}
BinaryM binary = new BinaryM(left.constructLops(), dcInput, HopsOpOp2LopsB.get(op), getDataType(), getValueType(), ExecType.MR, needPart, (right.getDim2() == 1 && left.getDim1() == right.getDim1()));
setOutputDimensions(binary);
setLineNumbers(binary);
setLops(binary);
} else if (mbin == MMBinaryMethod.MR_BINARY_UAGG_CHAIN) {
AggUnaryOp uRight = (AggUnaryOp) right;
BinaryUAggChain bin = new BinaryUAggChain(left.constructLops(), HopsOpOp2LopsB.get(op), HopsAgg2Lops.get(uRight.getOp()), HopsDirection2Lops.get(uRight.getDirection()), getDataType(), getValueType(), et);
setOutputDimensions(bin);
setLineNumbers(bin);
setLops(bin);
} else if (mbin == MMBinaryMethod.MR_BINARY_OUTER_R) {
boolean requiresRepLeft = (!right.dimsKnown() || right.getDim2() > right.getColsInBlock());
boolean requiresRepRight = (!left.dimsKnown() || left.getDim1() > right.getRowsInBlock());
Lop leftLop = left.constructLops();
Lop rightLop = right.constructLops();
if (requiresRepLeft) {
// ncol of right determines rep of left
Lop offset = createOffsetLop(right, true);
leftLop = new RepMat(leftLop, offset, true, left.getDataType(), left.getValueType());
setOutputDimensions(leftLop);
setLineNumbers(leftLop);
}
if (requiresRepRight) {
// nrow of right determines rep of right
Lop offset = createOffsetLop(left, false);
rightLop = new RepMat(rightLop, offset, false, right.getDataType(), right.getValueType());
setOutputDimensions(rightLop);
setLineNumbers(rightLop);
}
Group group1 = new Group(leftLop, Group.OperationTypes.Sort, getDataType(), getValueType());
setLineNumbers(group1);
setOutputDimensions(group1);
Group group2 = new Group(rightLop, Group.OperationTypes.Sort, getDataType(), getValueType());
setLineNumbers(group2);
setOutputDimensions(group2);
Binary binary = new Binary(group1, group2, HopsOpOp2LopsB.get(op), getDataType(), getValueType(), et);
setOutputDimensions(binary);
setLineNumbers(binary);
setLops(binary);
} else // MMBinaryMethod.MR_BINARY_R
{
boolean requiresRep = requiresReplication(left, right);
Lop rightLop = right.constructLops();
if (requiresRep) {
// ncol of left input (determines num replicates)
Lop offset = createOffsetLop(left, (right.getDim2() <= 1));
rightLop = new RepMat(rightLop, offset, (right.getDim2() <= 1), right.getDataType(), right.getValueType());
setOutputDimensions(rightLop);
setLineNumbers(rightLop);
}
Group group1 = new Group(getInput().get(0).constructLops(), Group.OperationTypes.Sort, getDataType(), getValueType());
setLineNumbers(group1);
setOutputDimensions(group1);
Group group2 = new Group(rightLop, Group.OperationTypes.Sort, getDataType(), getValueType());
setLineNumbers(group2);
setOutputDimensions(group2);
Binary binary = new Binary(group1, group2, HopsOpOp2LopsB.get(op), getDataType(), getValueType(), et);
setLineNumbers(binary);
setOutputDimensions(binary);
setLops(binary);
}
}
}
}
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