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[MLIR][Math] Add fine-grained populate-patterns functions for math function rewrites. #126103

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19 changes: 19 additions & 0 deletions mlir/include/mlir/Dialect/Math/Transforms/Passes.h
Original file line number Diff line number Diff line change
Expand Up @@ -48,6 +48,25 @@ struct MathPolynomialApproximationOptions {
void populatePolynomialApproximateTanhPattern(RewritePatternSet &patterns);
void populatePolynomialApproximateErfPattern(RewritePatternSet &patterns);

// Adds patterns to convert to f32 around math functions for which `predicate`
// returns true.
void populateMathF32ExpansionPatterns(
RewritePatternSet &patterns, llvm::function_ref<bool(StringRef)> predicate);

// Adds patterns to enable polynomial approximations for math functions for
// which `predicate` returns true.
void populateMathPolynomialApproximationPatterns(
RewritePatternSet &patterns, llvm::function_ref<bool(StringRef)> predicate);

// Legacy. Calls both populateMathF32ExpansionPatterns and
// populateMathPolynomialApproximationPatterns with predicates enabling a
// certain set of math function rewrites, that probably can't be changed for
// compatibility reasons. Notice that unlike
// populateMathPolynomialApproximationPatterns(patterns, predicate), this
// overload also calls populateMathF32ExpansionPatterns.
// Prefer calling these functions directly:
// * populateMathF32ExpansionPatterns(patterns, predicate)
// * populateMathPolynomialApproximationPatterns(patterns, predicate)
void populateMathPolynomialApproximationPatterns(
RewritePatternSet &patterns,
const MathPolynomialApproximationOptions &options = {});
Expand Down
135 changes: 116 additions & 19 deletions mlir/lib/Dialect/Math/Transforms/PolynomialApproximation.cpp
Original file line number Diff line number Diff line change
Expand Up @@ -1667,28 +1667,125 @@ void mlir::populatePolynomialApproximateErfPattern(
patterns.add<ErfPolynomialApproximation>(patterns.getContext());
}

template <typename OpType>
static void
populateMathF32ExpansionPattern(RewritePatternSet &patterns,
llvm::function_ref<bool(StringRef)> predicate) {
if (predicate(OpType::getOperationName())) {
patterns.add<ReuseF32Expansion<OpType>>(patterns.getContext());
}
}

void mlir::populateMathF32ExpansionPatterns(
RewritePatternSet &patterns,
llvm::function_ref<bool(StringRef)> predicate) {
populateMathF32ExpansionPattern<math::AcosOp>(patterns, predicate);
populateMathF32ExpansionPattern<math::AcoshOp>(patterns, predicate);
populateMathF32ExpansionPattern<math::AsinOp>(patterns, predicate);
populateMathF32ExpansionPattern<math::AsinhOp>(patterns, predicate);
populateMathF32ExpansionPattern<math::AtanOp>(patterns, predicate);
populateMathF32ExpansionPattern<math::Atan2Op>(patterns, predicate);
populateMathF32ExpansionPattern<math::AtanhOp>(patterns, predicate);
populateMathF32ExpansionPattern<math::CbrtOp>(patterns, predicate);
populateMathF32ExpansionPattern<math::CosOp>(patterns, predicate);
populateMathF32ExpansionPattern<math::CoshOp>(patterns, predicate);
populateMathF32ExpansionPattern<math::ErfOp>(patterns, predicate);
populateMathF32ExpansionPattern<math::ExpOp>(patterns, predicate);
populateMathF32ExpansionPattern<math::Exp2Op>(patterns, predicate);
populateMathF32ExpansionPattern<math::ExpM1Op>(patterns, predicate);
populateMathF32ExpansionPattern<math::LogOp>(patterns, predicate);
populateMathF32ExpansionPattern<math::Log10Op>(patterns, predicate);
populateMathF32ExpansionPattern<math::Log1pOp>(patterns, predicate);
populateMathF32ExpansionPattern<math::Log2Op>(patterns, predicate);
populateMathF32ExpansionPattern<math::PowFOp>(patterns, predicate);
populateMathF32ExpansionPattern<math::RsqrtOp>(patterns, predicate);
populateMathF32ExpansionPattern<math::SinOp>(patterns, predicate);
populateMathF32ExpansionPattern<math::SinhOp>(patterns, predicate);
populateMathF32ExpansionPattern<math::SqrtOp>(patterns, predicate);
populateMathF32ExpansionPattern<math::TanOp>(patterns, predicate);
populateMathF32ExpansionPattern<math::TanhOp>(patterns, predicate);
}

template <typename OpType, typename PatternType>
static void populateMathPolynomialApproximationPattern(
RewritePatternSet &patterns,
llvm::function_ref<bool(StringRef)> predicate) {
if (predicate(OpType::getOperationName())) {
patterns.add<PatternType>(patterns.getContext());
}
}

void mlir::populateMathPolynomialApproximationPatterns(
RewritePatternSet &patterns,
llvm::function_ref<bool(StringRef)> predicate) {
populateMathPolynomialApproximationPattern<AcosOp,
AcosPolynomialApproximation>(
patterns, predicate);
populateMathPolynomialApproximationPattern<AsinOp,
AsinPolynomialApproximation>(
patterns, predicate);
populateMathPolynomialApproximationPattern<AtanOp, AtanApproximation>(
patterns, predicate);
populateMathPolynomialApproximationPattern<Atan2Op, Atan2Approximation>(
patterns, predicate);
populateMathPolynomialApproximationPattern<CbrtOp, CbrtApproximation>(
patterns, predicate);
populateMathPolynomialApproximationPattern<
CosOp, SinAndCosApproximation<false, math::CosOp>>(patterns, predicate);
populateMathPolynomialApproximationPattern<ErfOp, ErfPolynomialApproximation>(
patterns, predicate);
populateMathPolynomialApproximationPattern<ExpOp, ExpApproximation>(
patterns, predicate);
populateMathPolynomialApproximationPattern<ExpM1Op, ExpM1Approximation>(
patterns, predicate);
populateMathPolynomialApproximationPattern<LogOp, LogApproximation>(
patterns, predicate);
populateMathPolynomialApproximationPattern<Log2Op, Log2Approximation>(
patterns, predicate);
populateMathPolynomialApproximationPattern<Log1pOp, Log1pApproximation>(
patterns, predicate);
populateMathPolynomialApproximationPattern<RsqrtOp, RsqrtApproximation>(
patterns, predicate);
populateMathPolynomialApproximationPattern<
SinOp, SinAndCosApproximation<true, math::SinOp>>(patterns, predicate);
populateMathPolynomialApproximationPattern<TanhOp, TanhApproximation>(
patterns, predicate);
}

void mlir::populateMathPolynomialApproximationPatterns(
RewritePatternSet &patterns,
const MathPolynomialApproximationOptions &options) {
// Patterns for leveraging existing f32 lowerings on other data types.
patterns
.add<ReuseF32Expansion<math::AtanOp>, ReuseF32Expansion<math::Atan2Op>,
ReuseF32Expansion<math::TanhOp>, ReuseF32Expansion<math::LogOp>,
ReuseF32Expansion<math::Log2Op>, ReuseF32Expansion<math::Log1pOp>,
ReuseF32Expansion<math::ErfOp>, ReuseF32Expansion<math::ExpOp>,
ReuseF32Expansion<math::ExpM1Op>, ReuseF32Expansion<math::CbrtOp>,
ReuseF32Expansion<math::SinOp>, ReuseF32Expansion<math::CosOp>>(
patterns.getContext());

patterns
.add<AtanApproximation, Atan2Approximation, TanhApproximation,
LogApproximation, Log2Approximation, Log1pApproximation,
ErfPolynomialApproximation, AsinPolynomialApproximation,
AcosPolynomialApproximation, ExpApproximation, ExpM1Approximation,
CbrtApproximation, SinAndCosApproximation<true, math::SinOp>,
SinAndCosApproximation<false, math::CosOp>>(patterns.getContext());
mlir::populateMathF32ExpansionPatterns(patterns, [](StringRef name) -> bool {
return llvm::is_contained(
{math::AtanOp::getOperationName(), math::Atan2Op::getOperationName(),
math::TanhOp::getOperationName(), math::LogOp::getOperationName(),
math::Log2Op::getOperationName(), math::Log1pOp::getOperationName(),
math::ErfOp::getOperationName(), math::ExpOp::getOperationName(),
math::ExpM1Op::getOperationName(), math::CbrtOp::getOperationName(),
math::SinOp::getOperationName(), math::CosOp::getOperationName()},
name);
});

populateMathPolynomialApproximationPatterns(
patterns, [](StringRef name) -> bool {
return llvm::is_contained(
{math::AtanOp::getOperationName(),
math::Atan2Op::getOperationName(),
math::TanhOp::getOperationName(), math::LogOp::getOperationName(),
math::Log2Op::getOperationName(),
math::Log1pOp::getOperationName(), math::ErfOp::getOperationName(),
math::AsinOp::getOperationName(), math::AcosOp::getOperationName(),
math::ExpOp::getOperationName(), math::ExpM1Op::getOperationName(),
math::CbrtOp::getOperationName(), math::SinOp::getOperationName(),
math::CosOp::getOperationName()},
name);
});

if (options.enableAvx2) {
patterns.add<RsqrtApproximation, ReuseF32Expansion<math::RsqrtOp>>(
patterns.getContext());
auto predicateRsqrt = [](StringRef name) {
return name == math::RsqrtOp::getOperationName();
};
mlir::populateMathF32ExpansionPatterns(patterns, predicateRsqrt);
mlir::populateMathPolynomialApproximationPatterns(patterns, predicateRsqrt);
}
}