//===- AlgebraicSimplification.cpp - Simplify algebraic expressions -------===// // // Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions. // See https://llvm.org/LICENSE.txt for license information. // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception // //===----------------------------------------------------------------------===// // // This file implements rewrites based on the basic rules of algebra // (Commutativity, associativity, etc...) and strength reductions for math // operations. // //===----------------------------------------------------------------------===// #include "mlir/Dialect/Arithmetic/IR/Arithmetic.h" #include "mlir/Dialect/Math/IR/Math.h" #include "mlir/Dialect/Math/Transforms/Passes.h" #include "mlir/Dialect/Vector/IR/VectorOps.h" #include "mlir/IR/Builders.h" #include "mlir/IR/Matchers.h" #include "mlir/IR/TypeUtilities.h" #include using namespace mlir; //----------------------------------------------------------------------------// // PowFOp strength reduction. //----------------------------------------------------------------------------// namespace { struct PowFStrengthReduction : public OpRewritePattern { public: using OpRewritePattern::OpRewritePattern; LogicalResult matchAndRewrite(math::PowFOp op, PatternRewriter &rewriter) const final; }; } // namespace LogicalResult PowFStrengthReduction::matchAndRewrite(math::PowFOp op, PatternRewriter &rewriter) const { Location loc = op.getLoc(); Value x = op.getLhs(); FloatAttr scalarExponent; DenseFPElementsAttr vectorExponent; bool isScalar = matchPattern(op.getRhs(), m_Constant(&scalarExponent)); bool isVector = matchPattern(op.getRhs(), m_Constant(&vectorExponent)); // Returns true if exponent is a constant equal to `value`. auto isExponentValue = [&](double value) -> bool { if (isScalar) return scalarExponent.getValue().isExactlyValue(value); if (isVector && vectorExponent.isSplat()) return vectorExponent.getSplatValue() .getValue() .isExactlyValue(value); return false; }; // Maybe broadcasts scalar value into vector type compatible with `op`. auto bcast = [&](Value value) -> Value { if (auto vec = op.getType().dyn_cast()) return rewriter.create(op.getLoc(), vec, value); return value; }; // Replace `pow(x, 1.0)` with `x`. if (isExponentValue(1.0)) { rewriter.replaceOp(op, x); return success(); } // Replace `pow(x, 2.0)` with `x * x`. if (isExponentValue(2.0)) { rewriter.replaceOpWithNewOp(op, ValueRange({x, x})); return success(); } // Replace `pow(x, 3.0)` with `x * x * x`. if (isExponentValue(3.0)) { Value square = rewriter.create(op.getLoc(), ValueRange({x, x})); rewriter.replaceOpWithNewOp(op, ValueRange({x, square})); return success(); } // Replace `pow(x, -1.0)` with `1.0 / x`. if (isExponentValue(-1.0)) { Value one = rewriter.create( loc, rewriter.getFloatAttr(getElementTypeOrSelf(op.getType()), 1.0)); rewriter.replaceOpWithNewOp(op, ValueRange({bcast(one), x})); return success(); } // Replace `pow(x, 0.5)` with `sqrt(x)`. if (isExponentValue(0.5)) { rewriter.replaceOpWithNewOp(op, x); return success(); } // Replace `pow(x, -0.5)` with `rsqrt(x)`. if (isExponentValue(-0.5)) { rewriter.replaceOpWithNewOp(op, x); return success(); } return failure(); } //----------------------------------------------------------------------------// void mlir::populateMathAlgebraicSimplificationPatterns( RewritePatternSet &patterns) { patterns.add(patterns.getContext()); }