use of org.apache.sysml.hops.AggBinaryOp in project incubator-systemml by apache.
the class RewriteAlgebraicSimplificationDynamic method simplifyWeightedCrossEntropy.
private static Hop simplifyWeightedCrossEntropy(Hop parent, Hop hi, int pos) {
Hop hnew = null;
boolean appliedPattern = false;
if (hi instanceof AggUnaryOp && ((AggUnaryOp) hi).getDirection() == Direction.RowCol && // pattern rooted by sum()
((AggUnaryOp) hi).getOp() == AggOp.SUM && // pattern subrooted by binary op
hi.getInput().get(0) instanceof BinaryOp && // not applied for vector-vector mult
hi.getInput().get(0).getDim2() > 1) {
BinaryOp bop = (BinaryOp) hi.getInput().get(0);
Hop left = bop.getInput().get(0);
Hop right = bop.getInput().get(1);
// Pattern 1) sum( X * log(U %*% t(V)))
if (bop.getOp() == OpOp2.MULT && left.getDataType() == DataType.MATRIX && // prevent mb
HopRewriteUtils.isEqualSize(left, right) && HopRewriteUtils.isUnary(right, OpOp1.LOG) && // ba gurantees matrices
right.getInput().get(0) instanceof AggBinaryOp && // BLOCKSIZE CONSTRAINT
HopRewriteUtils.isSingleBlock(right.getInput().get(0).getInput().get(0), true)) {
Hop X = left;
Hop U = right.getInput().get(0).getInput().get(0);
Hop V = right.getInput().get(0).getInput().get(1);
if (!HopRewriteUtils.isTransposeOperation(V))
V = HopRewriteUtils.createTranspose(V);
else
V = V.getInput().get(0);
hnew = new QuaternaryOp(hi.getName(), DataType.SCALAR, ValueType.DOUBLE, OpOp4.WCEMM, X, U, V, new LiteralOp(0.0), 0, false, false);
hnew.setOutputBlocksizes(X.getRowsInBlock(), X.getColsInBlock());
appliedPattern = true;
LOG.debug("Applied simplifyWeightedCEMM (line " + hi.getBeginLine() + ")");
}
// Pattern 2) sum( X * log(U %*% t(V) + eps))
if (!appliedPattern && bop.getOp() == OpOp2.MULT && left.getDataType() == DataType.MATRIX && HopRewriteUtils.isEqualSize(left, right) && HopRewriteUtils.isUnary(right, OpOp1.LOG) && HopRewriteUtils.isBinary(right.getInput().get(0), OpOp2.PLUS) && right.getInput().get(0).getInput().get(0) instanceof AggBinaryOp && right.getInput().get(0).getInput().get(1) instanceof LiteralOp && right.getInput().get(0).getInput().get(1).getDataType() == DataType.SCALAR && HopRewriteUtils.isSingleBlock(right.getInput().get(0).getInput().get(0).getInput().get(0), true)) {
Hop X = left;
Hop U = right.getInput().get(0).getInput().get(0).getInput().get(0);
Hop V = right.getInput().get(0).getInput().get(0).getInput().get(1);
Hop eps = right.getInput().get(0).getInput().get(1);
if (!HopRewriteUtils.isTransposeOperation(V))
V = HopRewriteUtils.createTranspose(V);
else
V = V.getInput().get(0);
hnew = new QuaternaryOp(hi.getName(), DataType.SCALAR, ValueType.DOUBLE, OpOp4.WCEMM, X, U, V, eps, 1, false, // 1 => BASIC_EPS
false);
hnew.setOutputBlocksizes(X.getRowsInBlock(), X.getColsInBlock());
LOG.debug("Applied simplifyWeightedCEMMEps (line " + hi.getBeginLine() + ")");
}
}
// relink new hop into original position
if (hnew != null) {
HopRewriteUtils.replaceChildReference(parent, hi, hnew, pos);
hi = hnew;
}
return hi;
}
use of org.apache.sysml.hops.AggBinaryOp in project incubator-systemml by apache.
the class RewriteAlgebraicSimplificationDynamic method simplifyWeightedUnaryMM.
private static Hop simplifyWeightedUnaryMM(Hop parent, Hop hi, int pos) {
Hop hnew = null;
boolean appliedPattern = false;
// Pattern 1) (W*uop(U%*%t(V)))
if (hi instanceof BinaryOp && HopRewriteUtils.isValidOp(((BinaryOp) hi).getOp(), LOOKUP_VALID_WDIVMM_BINARY) && // prevent mv
HopRewriteUtils.isEqualSize(hi.getInput().get(0), hi.getInput().get(1)) && // not applied for vector-vector mult
hi.getDim2() > 1 && hi.getInput().get(0).getDataType() == DataType.MATRIX && hi.getInput().get(0).getDim2() > hi.getInput().get(0).getColsInBlock() && hi.getInput().get(1) instanceof UnaryOp && HopRewriteUtils.isValidOp(((UnaryOp) hi.getInput().get(1)).getOp(), LOOKUP_VALID_WUMM_UNARY) && hi.getInput().get(1).getInput().get(0) instanceof AggBinaryOp && // BLOCKSIZE CONSTRAINT
HopRewriteUtils.isSingleBlock(hi.getInput().get(1).getInput().get(0).getInput().get(0), true)) {
Hop W = hi.getInput().get(0);
Hop U = hi.getInput().get(1).getInput().get(0).getInput().get(0);
Hop V = hi.getInput().get(1).getInput().get(0).getInput().get(1);
boolean mult = ((BinaryOp) hi).getOp() == OpOp2.MULT;
OpOp1 op = ((UnaryOp) hi.getInput().get(1)).getOp();
if (!HopRewriteUtils.isTransposeOperation(V))
V = HopRewriteUtils.createTranspose(V);
else
V = V.getInput().get(0);
hnew = new QuaternaryOp(hi.getName(), DataType.MATRIX, ValueType.DOUBLE, OpOp4.WUMM, W, U, V, mult, op, null);
hnew.setOutputBlocksizes(W.getRowsInBlock(), W.getColsInBlock());
hnew.refreshSizeInformation();
appliedPattern = true;
LOG.debug("Applied simplifyWeightedUnaryMM1 (line " + hi.getBeginLine() + ")");
}
// Pattern 2.7) (W*(U%*%t(V))*2 or 2*(W*(U%*%t(V))
if (!appliedPattern && hi instanceof BinaryOp && HopRewriteUtils.isValidOp(((BinaryOp) hi).getOp(), OpOp2.MULT) && (HopRewriteUtils.isLiteralOfValue(hi.getInput().get(0), 2) || HopRewriteUtils.isLiteralOfValue(hi.getInput().get(1), 2))) {
// non-literal
final Hop nl;
if (hi.getInput().get(0) instanceof LiteralOp) {
nl = hi.getInput().get(1);
} else {
nl = hi.getInput().get(0);
}
if (HopRewriteUtils.isBinary(nl, OpOp2.MULT) && // ensure no foreign parents
nl.getParent().size() == 1 && // prevent mv
HopRewriteUtils.isEqualSize(nl.getInput().get(0), nl.getInput().get(1)) && // not applied for vector-vector mult
nl.getDim2() > 1 && nl.getInput().get(0).getDataType() == DataType.MATRIX && nl.getInput().get(0).getDim2() > nl.getInput().get(0).getColsInBlock() && HopRewriteUtils.isOuterProductLikeMM(nl.getInput().get(1)) && // no mmchain
(((AggBinaryOp) nl.getInput().get(1)).checkMapMultChain() == ChainType.NONE || nl.getInput().get(1).getInput().get(1).getDim2() > 1) && HopRewriteUtils.isSingleBlock(nl.getInput().get(1).getInput().get(0), true)) {
final Hop W = nl.getInput().get(0);
final Hop U = nl.getInput().get(1).getInput().get(0);
Hop V = nl.getInput().get(1).getInput().get(1);
if (!HopRewriteUtils.isTransposeOperation(V))
V = HopRewriteUtils.createTranspose(V);
else
V = V.getInput().get(0);
hnew = new QuaternaryOp(hi.getName(), DataType.MATRIX, ValueType.DOUBLE, OpOp4.WUMM, W, U, V, true, null, OpOp2.MULT);
hnew.setOutputBlocksizes(W.getRowsInBlock(), W.getColsInBlock());
hnew.refreshSizeInformation();
appliedPattern = true;
LOG.debug("Applied simplifyWeightedUnaryMM2.7 (line " + hi.getBeginLine() + ")");
}
}
// Pattern 2) (W*sop(U%*%t(V),c)) for known sop translating to unary ops
if (!appliedPattern && hi instanceof BinaryOp && HopRewriteUtils.isValidOp(((BinaryOp) hi).getOp(), LOOKUP_VALID_WDIVMM_BINARY) && // prevent mv
HopRewriteUtils.isEqualSize(hi.getInput().get(0), hi.getInput().get(1)) && // not applied for vector-vector mult
hi.getDim2() > 1 && hi.getInput().get(0).getDataType() == DataType.MATRIX && hi.getInput().get(0).getDim2() > hi.getInput().get(0).getColsInBlock() && hi.getInput().get(1) instanceof BinaryOp && HopRewriteUtils.isValidOp(((BinaryOp) hi.getInput().get(1)).getOp(), LOOKUP_VALID_WUMM_BINARY)) {
Hop left = hi.getInput().get(1).getInput().get(0);
Hop right = hi.getInput().get(1).getInput().get(1);
Hop abop = null;
// pattern 2a) matrix-scalar operations
if (right.getDataType() == DataType.SCALAR && right instanceof LiteralOp && // pow2, mult2
HopRewriteUtils.getDoubleValue((LiteralOp) right) == 2 && left instanceof AggBinaryOp && // BLOCKSIZE CONSTRAINT
HopRewriteUtils.isSingleBlock(left.getInput().get(0), true)) {
abop = left;
} else // pattern 2b) scalar-matrix operations
if (left.getDataType() == DataType.SCALAR && left instanceof LiteralOp && // mult2
HopRewriteUtils.getDoubleValue((LiteralOp) left) == 2 && ((BinaryOp) hi.getInput().get(1)).getOp() == OpOp2.MULT && right instanceof AggBinaryOp && // BLOCKSIZE CONSTRAINT
HopRewriteUtils.isSingleBlock(right.getInput().get(0), true)) {
abop = right;
}
if (abop != null) {
Hop W = hi.getInput().get(0);
Hop U = abop.getInput().get(0);
Hop V = abop.getInput().get(1);
boolean mult = ((BinaryOp) hi).getOp() == OpOp2.MULT;
OpOp2 op = ((BinaryOp) hi.getInput().get(1)).getOp();
if (!HopRewriteUtils.isTransposeOperation(V))
V = HopRewriteUtils.createTranspose(V);
else
V = V.getInput().get(0);
hnew = new QuaternaryOp(hi.getName(), DataType.MATRIX, ValueType.DOUBLE, OpOp4.WUMM, W, U, V, mult, null, op);
hnew.setOutputBlocksizes(W.getRowsInBlock(), W.getColsInBlock());
hnew.refreshSizeInformation();
appliedPattern = true;
LOG.debug("Applied simplifyWeightedUnaryMM2 (line " + hi.getBeginLine() + ")");
}
}
// relink new hop into original position
if (hnew != null) {
HopRewriteUtils.replaceChildReference(parent, hi, hnew, pos);
hi = hnew;
}
return hi;
}
use of org.apache.sysml.hops.AggBinaryOp in project incubator-systemml by apache.
the class RewriteAlgebraicSimplificationDynamic method simplifyWeightedDivMM.
private static Hop simplifyWeightedDivMM(Hop parent, Hop hi, int pos) {
Hop hnew = null;
boolean appliedPattern = false;
// note: we do not rewrite t(X)%*%(w*(X%*%v)) where w and v are vectors (see mmchain ops)
if (HopRewriteUtils.isMatrixMultiply(hi) && (hi.getInput().get(0) instanceof BinaryOp && HopRewriteUtils.isValidOp(((BinaryOp) hi.getInput().get(0)).getOp(), LOOKUP_VALID_WDIVMM_BINARY) || hi.getInput().get(1) instanceof BinaryOp && // not applied for vector-vector mult
hi.getDim2() > 1 && HopRewriteUtils.isValidOp(((BinaryOp) hi.getInput().get(1)).getOp(), LOOKUP_VALID_WDIVMM_BINARY))) {
Hop left = hi.getInput().get(0);
Hop right = hi.getInput().get(1);
// alternative pattern: t(U) %*% (W*(U%*%t(V)))
if (right instanceof BinaryOp && HopRewriteUtils.isValidOp(((BinaryOp) right).getOp(), LOOKUP_VALID_WDIVMM_BINARY) && // prevent mv
HopRewriteUtils.isEqualSize(right.getInput().get(0), right.getInput().get(1)) && HopRewriteUtils.isOuterProductLikeMM(right.getInput().get(1)) && // BLOCKSIZE CONSTRAINT
HopRewriteUtils.isSingleBlock(right.getInput().get(1).getInput().get(0), true)) {
Hop W = right.getInput().get(0);
Hop U = right.getInput().get(1).getInput().get(0);
Hop V = right.getInput().get(1).getInput().get(1);
if (HopRewriteUtils.isTransposeOfItself(left, U)) {
if (!HopRewriteUtils.isTransposeOperation(V))
V = HopRewriteUtils.createTranspose(V);
else
V = V.getInput().get(0);
boolean mult = ((BinaryOp) right).getOp() == OpOp2.MULT;
hnew = new QuaternaryOp(hi.getName(), DataType.MATRIX, ValueType.DOUBLE, OpOp4.WDIVMM, W, U, V, new LiteralOp(-1), 1, mult, false);
hnew.setOutputBlocksizes(W.getRowsInBlock(), W.getColsInBlock());
hnew.refreshSizeInformation();
// add output transpose for efficient target indexing (redundant t() removed by other rewrites)
hnew = HopRewriteUtils.createTranspose(hnew);
appliedPattern = true;
LOG.debug("Applied simplifyWeightedDivMM1 (line " + hi.getBeginLine() + ")");
}
}
// Pattern 1e) t(U) %*% (W/(U%*%t(V) + x))
if (!appliedPattern && // DIV
HopRewriteUtils.isBinary(right, LOOKUP_VALID_WDIVMM_BINARY[1]) && // prevent mv
HopRewriteUtils.isEqualSize(right.getInput().get(0), right.getInput().get(1)) && HopRewriteUtils.isBinary(right.getInput().get(1), Hop.OpOp2.PLUS) && right.getInput().get(1).getInput().get(1).getDataType() == DataType.SCALAR && HopRewriteUtils.isOuterProductLikeMM(right.getInput().get(1).getInput().get(0)) && // BLOCKSIZE CONSTRAINT
HopRewriteUtils.isSingleBlock(right.getInput().get(1).getInput().get(0).getInput().get(0), true)) {
Hop W = right.getInput().get(0);
Hop U = right.getInput().get(1).getInput().get(0).getInput().get(0);
Hop V = right.getInput().get(1).getInput().get(0).getInput().get(1);
Hop X = right.getInput().get(1).getInput().get(1);
if (HopRewriteUtils.isTransposeOfItself(left, U)) {
if (!HopRewriteUtils.isTransposeOperation(V))
V = HopRewriteUtils.createTranspose(V);
else
V = V.getInput().get(0);
hnew = new QuaternaryOp(hi.getName(), DataType.MATRIX, ValueType.DOUBLE, OpOp4.WDIVMM, W, U, V, X, 3, false, // 3=>DIV_LEFT_EPS
false);
hnew.setOutputBlocksizes(W.getRowsInBlock(), W.getColsInBlock());
hnew.refreshSizeInformation();
// add output transpose for efficient target indexing (redundant t() removed by other rewrites)
hnew = HopRewriteUtils.createTranspose(hnew);
appliedPattern = true;
LOG.debug("Applied simplifyWeightedDivMM1e (line " + hi.getBeginLine() + ")");
}
}
// alternative pattern: (W*(U%*%t(V))) %*% V
if (!appliedPattern && left instanceof BinaryOp && HopRewriteUtils.isValidOp(((BinaryOp) left).getOp(), LOOKUP_VALID_WDIVMM_BINARY) && // prevent mv
HopRewriteUtils.isEqualSize(left.getInput().get(0), left.getInput().get(1)) && HopRewriteUtils.isOuterProductLikeMM(left.getInput().get(1)) && // BLOCKSIZE CONSTRAINT
HopRewriteUtils.isSingleBlock(left.getInput().get(1).getInput().get(0), true)) {
Hop W = left.getInput().get(0);
Hop U = left.getInput().get(1).getInput().get(0);
Hop V = left.getInput().get(1).getInput().get(1);
if (HopRewriteUtils.isTransposeOfItself(right, V)) {
if (!HopRewriteUtils.isTransposeOperation(V))
V = right;
else
V = V.getInput().get(0);
boolean mult = ((BinaryOp) left).getOp() == OpOp2.MULT;
hnew = new QuaternaryOp(hi.getName(), DataType.MATRIX, ValueType.DOUBLE, OpOp4.WDIVMM, W, U, V, new LiteralOp(-1), 2, mult, false);
hnew.setOutputBlocksizes(W.getRowsInBlock(), W.getColsInBlock());
hnew.refreshSizeInformation();
appliedPattern = true;
LOG.debug("Applied simplifyWeightedDivMM2 (line " + hi.getBeginLine() + ")");
}
}
// Pattern 2e) (W/(U%*%t(V) + x)) %*% V
if (!appliedPattern && // DIV
HopRewriteUtils.isBinary(left, LOOKUP_VALID_WDIVMM_BINARY[1]) && // prevent mv
HopRewriteUtils.isEqualSize(left.getInput().get(0), left.getInput().get(1)) && HopRewriteUtils.isBinary(left.getInput().get(1), Hop.OpOp2.PLUS) && left.getInput().get(1).getInput().get(1).getDataType() == DataType.SCALAR && HopRewriteUtils.isOuterProductLikeMM(left.getInput().get(1).getInput().get(0)) && // BLOCKSIZE CONSTRAINT
HopRewriteUtils.isSingleBlock(left.getInput().get(1).getInput().get(0).getInput().get(0), true)) {
Hop W = left.getInput().get(0);
Hop U = left.getInput().get(1).getInput().get(0).getInput().get(0);
Hop V = left.getInput().get(1).getInput().get(0).getInput().get(1);
Hop X = left.getInput().get(1).getInput().get(1);
if (HopRewriteUtils.isTransposeOfItself(right, V)) {
if (!HopRewriteUtils.isTransposeOperation(V))
V = right;
else
V = V.getInput().get(0);
hnew = new QuaternaryOp(hi.getName(), DataType.MATRIX, ValueType.DOUBLE, OpOp4.WDIVMM, W, U, V, X, 4, false, // 4=>DIV_RIGHT_EPS
false);
hnew.setOutputBlocksizes(W.getRowsInBlock(), W.getColsInBlock());
hnew.refreshSizeInformation();
appliedPattern = true;
LOG.debug("Applied simplifyWeightedDivMM2e (line " + hi.getBeginLine() + ")");
}
}
// Pattern 3) t(U) %*% ((X!=0)*(U%*%t(V)-X))
if (!appliedPattern && // MULT
HopRewriteUtils.isBinary(right, LOOKUP_VALID_WDIVMM_BINARY[0]) && HopRewriteUtils.isBinary(right.getInput().get(1), OpOp2.MINUS) && HopRewriteUtils.isOuterProductLikeMM(right.getInput().get(1).getInput().get(0)) && right.getInput().get(1).getInput().get(1).getDataType() == DataType.MATRIX && // BLOCKSIZE CONSTRAINT
HopRewriteUtils.isSingleBlock(right.getInput().get(1).getInput().get(0).getInput().get(0), true)) {
Hop W = right.getInput().get(0);
Hop U = right.getInput().get(1).getInput().get(0).getInput().get(0);
Hop V = right.getInput().get(1).getInput().get(0).getInput().get(1);
Hop X = right.getInput().get(1).getInput().get(1);
if (// W-X constraint
HopRewriteUtils.isNonZeroIndicator(W, X) && // t(U)-U constraint
HopRewriteUtils.isTransposeOfItself(left, U)) {
if (!HopRewriteUtils.isTransposeOperation(V))
V = HopRewriteUtils.createTranspose(V);
else
V = V.getInput().get(0);
hnew = new QuaternaryOp(hi.getName(), DataType.MATRIX, ValueType.DOUBLE, OpOp4.WDIVMM, X, U, V, new LiteralOp(-1), 1, true, true);
hnew.setOutputBlocksizes(W.getRowsInBlock(), W.getColsInBlock());
hnew.refreshSizeInformation();
// add output transpose for efficient target indexing (redundant t() removed by other rewrites)
hnew = HopRewriteUtils.createTranspose(hnew);
appliedPattern = true;
LOG.debug("Applied simplifyWeightedDivMM3 (line " + hi.getBeginLine() + ")");
}
}
// Pattern 4) ((X!=0)*(U%*%t(V)-X)) %*% V
if (!appliedPattern && // MULT
HopRewriteUtils.isBinary(left, LOOKUP_VALID_WDIVMM_BINARY[0]) && HopRewriteUtils.isBinary(left.getInput().get(1), OpOp2.MINUS) && HopRewriteUtils.isOuterProductLikeMM(left.getInput().get(1).getInput().get(0)) && left.getInput().get(1).getInput().get(1).getDataType() == DataType.MATRIX && // BLOCKSIZE CONSTRAINT
HopRewriteUtils.isSingleBlock(left.getInput().get(1).getInput().get(0).getInput().get(0), true)) {
Hop W = left.getInput().get(0);
Hop U = left.getInput().get(1).getInput().get(0).getInput().get(0);
Hop V = left.getInput().get(1).getInput().get(0).getInput().get(1);
Hop X = left.getInput().get(1).getInput().get(1);
if (// W-X constraint
HopRewriteUtils.isNonZeroIndicator(W, X) && // V-t(V) constraint
HopRewriteUtils.isTransposeOfItself(right, V)) {
if (!HopRewriteUtils.isTransposeOperation(V))
V = right;
else
V = V.getInput().get(0);
hnew = new QuaternaryOp(hi.getName(), DataType.MATRIX, ValueType.DOUBLE, OpOp4.WDIVMM, X, U, V, new LiteralOp(-1), 2, true, true);
hnew.setOutputBlocksizes(W.getRowsInBlock(), W.getColsInBlock());
hnew.refreshSizeInformation();
appliedPattern = true;
LOG.debug("Applied simplifyWeightedDivMM4 (line " + hi.getBeginLine() + ")");
}
}
// Pattern 5) t(U) %*% (W*(U%*%t(V)-X))
if (!appliedPattern && // MULT
HopRewriteUtils.isBinary(right, LOOKUP_VALID_WDIVMM_BINARY[0]) && HopRewriteUtils.isBinary(right.getInput().get(1), OpOp2.MINUS) && HopRewriteUtils.isOuterProductLikeMM(right.getInput().get(1).getInput().get(0)) && right.getInput().get(1).getInput().get(1).getDataType() == DataType.MATRIX && // BLOCKSIZE CONSTRAINT
HopRewriteUtils.isSingleBlock(right.getInput().get(1).getInput().get(0).getInput().get(0), true)) {
Hop W = right.getInput().get(0);
Hop U = right.getInput().get(1).getInput().get(0).getInput().get(0);
Hop V = right.getInput().get(1).getInput().get(0).getInput().get(1);
Hop X = right.getInput().get(1).getInput().get(1);
if (// t(U)-U constraint
HopRewriteUtils.isTransposeOfItself(left, U)) {
if (!HopRewriteUtils.isTransposeOperation(V))
V = HopRewriteUtils.createTranspose(V);
else
V = V.getInput().get(0);
// note: x and w exchanged compared to patterns 1-4, 7
hnew = new QuaternaryOp(hi.getName(), DataType.MATRIX, ValueType.DOUBLE, OpOp4.WDIVMM, W, U, V, X, 1, true, true);
hnew.setOutputBlocksizes(W.getRowsInBlock(), W.getColsInBlock());
hnew.refreshSizeInformation();
// add output transpose for efficient target indexing (redundant t() removed by other rewrites)
hnew = HopRewriteUtils.createTranspose(hnew);
appliedPattern = true;
LOG.debug("Applied simplifyWeightedDivMM5 (line " + hi.getBeginLine() + ")");
}
}
// Pattern 6) (W*(U%*%t(V)-X)) %*% V
if (!appliedPattern && // MULT
HopRewriteUtils.isBinary(left, LOOKUP_VALID_WDIVMM_BINARY[0]) && HopRewriteUtils.isBinary(left.getInput().get(1), OpOp2.MINUS) && HopRewriteUtils.isOuterProductLikeMM(left.getInput().get(1).getInput().get(0)) && left.getInput().get(1).getInput().get(1).getDataType() == DataType.MATRIX && // BLOCKSIZE CONSTRAINT
HopRewriteUtils.isSingleBlock(left.getInput().get(1).getInput().get(0).getInput().get(0), true)) {
Hop W = left.getInput().get(0);
Hop U = left.getInput().get(1).getInput().get(0).getInput().get(0);
Hop V = left.getInput().get(1).getInput().get(0).getInput().get(1);
Hop X = left.getInput().get(1).getInput().get(1);
if (// V-t(V) constraint
HopRewriteUtils.isTransposeOfItself(right, V)) {
if (!HopRewriteUtils.isTransposeOperation(V))
V = right;
else
V = V.getInput().get(0);
// note: x and w exchanged compared to patterns 1-4, 7
hnew = new QuaternaryOp(hi.getName(), DataType.MATRIX, ValueType.DOUBLE, OpOp4.WDIVMM, W, U, V, X, 2, true, true);
hnew.setOutputBlocksizes(W.getRowsInBlock(), W.getColsInBlock());
hnew.refreshSizeInformation();
appliedPattern = true;
LOG.debug("Applied simplifyWeightedDivMM6 (line " + hi.getBeginLine() + ")");
}
}
}
// Pattern 7) (W*(U%*%t(V)))
if (!appliedPattern && // MULT
HopRewriteUtils.isBinary(hi, LOOKUP_VALID_WDIVMM_BINARY[0]) && // prevent mv
HopRewriteUtils.isEqualSize(hi.getInput().get(0), hi.getInput().get(1)) && // not applied for vector-vector mult
hi.getDim2() > 1 && hi.getInput().get(0).getDataType() == DataType.MATRIX && hi.getInput().get(0).getDim2() > hi.getInput().get(0).getColsInBlock() && HopRewriteUtils.isOuterProductLikeMM(hi.getInput().get(1)) && // no mmchain
(((AggBinaryOp) hi.getInput().get(1)).checkMapMultChain() == ChainType.NONE || hi.getInput().get(1).getInput().get(1).getDim2() > 1) && // BLOCKSIZE CONSTRAINT
HopRewriteUtils.isSingleBlock(hi.getInput().get(1).getInput().get(0), true)) {
Hop W = hi.getInput().get(0);
Hop U = hi.getInput().get(1).getInput().get(0);
Hop V = hi.getInput().get(1).getInput().get(1);
// W is sparse and U/V unknown or dense; or if U/V are dense
if ((HopRewriteUtils.isSparse(W) && !HopRewriteUtils.isSparse(U) && !HopRewriteUtils.isSparse(V)) || (HopRewriteUtils.isDense(U) && HopRewriteUtils.isDense(V))) {
V = !HopRewriteUtils.isTransposeOperation(V) ? HopRewriteUtils.createTranspose(V) : V.getInput().get(0);
hnew = new QuaternaryOp(hi.getName(), DataType.MATRIX, ValueType.DOUBLE, OpOp4.WDIVMM, W, U, V, new LiteralOp(-1), 0, true, false);
hnew.setOutputBlocksizes(W.getRowsInBlock(), W.getColsInBlock());
hnew.refreshSizeInformation();
appliedPattern = true;
LOG.debug("Applied simplifyWeightedDivMM7 (line " + hi.getBeginLine() + ")");
}
}
// relink new hop into original position
if (hnew != null) {
HopRewriteUtils.replaceChildReference(parent, hi, hnew, pos);
hi = hnew;
}
return hi;
}
use of org.apache.sysml.hops.AggBinaryOp in project incubator-systemml by apache.
the class RewriteAlgebraicSimplificationDynamic method simplifyRowSumsMVMult.
private static Hop simplifyRowSumsMVMult(Hop parent, Hop hi, int pos) {
// removed by other rewrite if unnecessary, i.e., if Y==t(Z)
if (hi instanceof AggUnaryOp) {
AggUnaryOp uhi = (AggUnaryOp) hi;
Hop input = uhi.getInput().get(0);
if (// rowsums
uhi.getOp() == AggOp.SUM && uhi.getDirection() == Direction.Row && // b(*)
HopRewriteUtils.isBinary(input, OpOp2.MULT)) {
Hop left = input.getInput().get(0);
Hop right = input.getInput().get(1);
if (left.getDim1() > 1 && left.getDim2() > 1 && right.getDim1() == 1 && // MV (row vector)
right.getDim2() > 1) {
// create new operators
ReorgOp trans = HopRewriteUtils.createTranspose(right);
AggBinaryOp mmult = HopRewriteUtils.createMatrixMultiply(left, trans);
// relink new child
HopRewriteUtils.replaceChildReference(parent, hi, mmult, pos);
HopRewriteUtils.cleanupUnreferenced(hi, input);
hi = mmult;
LOG.debug("Applied simplifyRowSumsMVMult");
}
}
}
return hi;
}
use of org.apache.sysml.hops.AggBinaryOp in project incubator-systemml by apache.
the class RewriteAlgebraicSimplificationStatic method simplifyTransposeAggBinBinaryChains.
/**
* Patterns: t(t(A)%*%t(B)+C) -> B%*%A+t(C)
*
* @param parent parent high-level operator
* @param hi high-level operator
* @param pos position
* @return high-level operator
*/
private static Hop simplifyTransposeAggBinBinaryChains(Hop parent, Hop hi, int pos) {
if (HopRewriteUtils.isTransposeOperation(hi) && // basic binary
hi.getInput().get(0) instanceof BinaryOp && ((BinaryOp) hi.getInput().get(0)).supportsMatrixScalarOperations()) {
Hop left = hi.getInput().get(0).getInput().get(0);
Hop C = hi.getInput().get(0).getInput().get(1);
// check matrix mult and both inputs transposes w/ single consumer
if (left instanceof AggBinaryOp && C.getDataType().isMatrix() && HopRewriteUtils.isTransposeOperation(left.getInput().get(0)) && left.getInput().get(0).getParent().size() == 1 && HopRewriteUtils.isTransposeOperation(left.getInput().get(1)) && left.getInput().get(1).getParent().size() == 1) {
Hop A = left.getInput().get(0).getInput().get(0);
Hop B = left.getInput().get(1).getInput().get(0);
AggBinaryOp abop = HopRewriteUtils.createMatrixMultiply(B, A);
ReorgOp rop = HopRewriteUtils.createTranspose(C);
BinaryOp bop = HopRewriteUtils.createBinary(abop, rop, OpOp2.PLUS);
HopRewriteUtils.replaceChildReference(parent, hi, bop, pos);
hi = bop;
LOG.debug("Applied simplifyTransposeAggBinBinaryChains (line " + hi.getBeginLine() + ").");
}
}
return hi;
}
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