67d0d7ac0a
The patch introduces the required changes to update the pass declarations and definitions to use the new autogenerated files and allow dropping the old infrastructure. Reviewed By: mehdi_amini, rriddle Differential Review: https://reviews.llvm.org/D132838
248 lines
10 KiB
C++
248 lines
10 KiB
C++
//===- ExpandOps.cpp - Pass to legalize Arithmetic ops for LLVM lowering --===//
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//
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// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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//
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//===----------------------------------------------------------------------===//
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#include "mlir/Dialect/Arithmetic/Transforms/Passes.h"
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#include "mlir/Dialect/Arithmetic/IR/Arithmetic.h"
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#include "mlir/IR/TypeUtilities.h"
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#include "mlir/Transforms/DialectConversion.h"
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namespace mlir {
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namespace arith {
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#define GEN_PASS_DEF_ARITHMETICEXPANDOPS
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#include "mlir/Dialect/Arithmetic/Transforms/Passes.h.inc"
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} // namespace arith
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} // namespace mlir
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using namespace mlir;
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/// Create an integer or index constant.
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static Value createConst(Location loc, Type type, int value,
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PatternRewriter &rewriter) {
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return rewriter.create<arith::ConstantOp>(
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loc, rewriter.getIntegerAttr(type, value));
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}
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namespace {
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/// Expands CeilDivUIOp (n, m) into
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/// n == 0 ? 0 : ((n-1) / m) + 1
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struct CeilDivUIOpConverter : public OpRewritePattern<arith::CeilDivUIOp> {
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using OpRewritePattern::OpRewritePattern;
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LogicalResult matchAndRewrite(arith::CeilDivUIOp op,
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PatternRewriter &rewriter) const final {
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Location loc = op.getLoc();
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Value a = op.getLhs();
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Value b = op.getRhs();
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Value zero = createConst(loc, a.getType(), 0, rewriter);
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Value compare =
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rewriter.create<arith::CmpIOp>(loc, arith::CmpIPredicate::eq, a, zero);
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Value one = createConst(loc, a.getType(), 1, rewriter);
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Value minusOne = rewriter.create<arith::SubIOp>(loc, a, one);
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Value quotient = rewriter.create<arith::DivUIOp>(loc, minusOne, b);
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Value plusOne = rewriter.create<arith::AddIOp>(loc, quotient, one);
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rewriter.replaceOpWithNewOp<arith::SelectOp>(op, compare, zero, plusOne);
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return success();
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}
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};
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/// Expands CeilDivSIOp (n, m) into
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/// 1) x = (m > 0) ? -1 : 1
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/// 2) (n*m>0) ? ((n+x) / m) + 1 : - (-n / m)
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struct CeilDivSIOpConverter : public OpRewritePattern<arith::CeilDivSIOp> {
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using OpRewritePattern::OpRewritePattern;
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LogicalResult matchAndRewrite(arith::CeilDivSIOp op,
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PatternRewriter &rewriter) const final {
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Location loc = op.getLoc();
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Type type = op.getType();
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Value a = op.getLhs();
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Value b = op.getRhs();
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Value plusOne = createConst(loc, type, 1, rewriter);
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Value zero = createConst(loc, type, 0, rewriter);
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Value minusOne = createConst(loc, type, -1, rewriter);
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// Compute x = (b>0) ? -1 : 1.
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Value compare =
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rewriter.create<arith::CmpIOp>(loc, arith::CmpIPredicate::sgt, b, zero);
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Value x = rewriter.create<arith::SelectOp>(loc, compare, minusOne, plusOne);
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// Compute positive res: 1 + ((x+a)/b).
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Value xPlusA = rewriter.create<arith::AddIOp>(loc, x, a);
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Value xPlusADivB = rewriter.create<arith::DivSIOp>(loc, xPlusA, b);
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Value posRes = rewriter.create<arith::AddIOp>(loc, plusOne, xPlusADivB);
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// Compute negative res: - ((-a)/b).
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Value minusA = rewriter.create<arith::SubIOp>(loc, zero, a);
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Value minusADivB = rewriter.create<arith::DivSIOp>(loc, minusA, b);
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Value negRes = rewriter.create<arith::SubIOp>(loc, zero, minusADivB);
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// Result is (a*b>0) ? pos result : neg result.
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// Note, we want to avoid using a*b because of possible overflow.
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// The case that matters are a>0, a==0, a<0, b>0 and b<0. We do
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// not particuliarly care if a*b<0 is true or false when b is zero
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// as this will result in an illegal divide. So `a*b<0` can be reformulated
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// as `(a<0 && b<0) || (a>0 && b>0)' or `(a<0 && b<0) || (a>0 && b>=0)'.
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// We pick the first expression here.
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Value aNeg =
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rewriter.create<arith::CmpIOp>(loc, arith::CmpIPredicate::slt, a, zero);
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Value aPos =
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rewriter.create<arith::CmpIOp>(loc, arith::CmpIPredicate::sgt, a, zero);
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Value bNeg =
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rewriter.create<arith::CmpIOp>(loc, arith::CmpIPredicate::slt, b, zero);
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Value bPos =
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rewriter.create<arith::CmpIOp>(loc, arith::CmpIPredicate::sgt, b, zero);
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Value firstTerm = rewriter.create<arith::AndIOp>(loc, aNeg, bNeg);
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Value secondTerm = rewriter.create<arith::AndIOp>(loc, aPos, bPos);
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Value compareRes =
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rewriter.create<arith::OrIOp>(loc, firstTerm, secondTerm);
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// Perform substitution and return success.
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rewriter.replaceOpWithNewOp<arith::SelectOp>(op, compareRes, posRes,
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negRes);
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return success();
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}
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};
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/// Expands FloorDivSIOp (n, m) into
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/// 1) x = (m<0) ? 1 : -1
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/// 2) return (n*m<0) ? - ((-n+x) / m) -1 : n / m
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struct FloorDivSIOpConverter : public OpRewritePattern<arith::FloorDivSIOp> {
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using OpRewritePattern::OpRewritePattern;
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LogicalResult matchAndRewrite(arith::FloorDivSIOp op,
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PatternRewriter &rewriter) const final {
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Location loc = op.getLoc();
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Type type = op.getType();
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Value a = op.getLhs();
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Value b = op.getRhs();
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Value plusOne = createConst(loc, type, 1, rewriter);
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Value zero = createConst(loc, type, 0, rewriter);
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Value minusOne = createConst(loc, type, -1, rewriter);
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// Compute x = (b<0) ? 1 : -1.
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Value compare =
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rewriter.create<arith::CmpIOp>(loc, arith::CmpIPredicate::slt, b, zero);
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Value x = rewriter.create<arith::SelectOp>(loc, compare, plusOne, minusOne);
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// Compute negative res: -1 - ((x-a)/b).
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Value xMinusA = rewriter.create<arith::SubIOp>(loc, x, a);
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Value xMinusADivB = rewriter.create<arith::DivSIOp>(loc, xMinusA, b);
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Value negRes = rewriter.create<arith::SubIOp>(loc, minusOne, xMinusADivB);
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// Compute positive res: a/b.
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Value posRes = rewriter.create<arith::DivSIOp>(loc, a, b);
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// Result is (a*b<0) ? negative result : positive result.
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// Note, we want to avoid using a*b because of possible overflow.
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// The case that matters are a>0, a==0, a<0, b>0 and b<0. We do
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// not particuliarly care if a*b<0 is true or false when b is zero
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// as this will result in an illegal divide. So `a*b<0` can be reformulated
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// as `(a>0 && b<0) || (a>0 && b<0)' or `(a>0 && b<0) || (a>0 && b<=0)'.
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// We pick the first expression here.
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Value aNeg =
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rewriter.create<arith::CmpIOp>(loc, arith::CmpIPredicate::slt, a, zero);
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Value aPos =
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rewriter.create<arith::CmpIOp>(loc, arith::CmpIPredicate::sgt, a, zero);
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Value bNeg =
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rewriter.create<arith::CmpIOp>(loc, arith::CmpIPredicate::slt, b, zero);
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Value bPos =
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rewriter.create<arith::CmpIOp>(loc, arith::CmpIPredicate::sgt, b, zero);
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Value firstTerm = rewriter.create<arith::AndIOp>(loc, aNeg, bPos);
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Value secondTerm = rewriter.create<arith::AndIOp>(loc, aPos, bNeg);
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Value compareRes =
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rewriter.create<arith::OrIOp>(loc, firstTerm, secondTerm);
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// Perform substitution and return success.
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rewriter.replaceOpWithNewOp<arith::SelectOp>(op, compareRes, negRes,
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posRes);
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return success();
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}
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};
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template <typename OpTy, arith::CmpFPredicate pred>
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struct MaxMinFOpConverter : public OpRewritePattern<OpTy> {
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public:
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using OpRewritePattern<OpTy>::OpRewritePattern;
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LogicalResult matchAndRewrite(OpTy op,
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PatternRewriter &rewriter) const final {
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Value lhs = op.getLhs();
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Value rhs = op.getRhs();
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Location loc = op.getLoc();
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// If any operand is NaN, 'cmp' will be true (and 'select' returns 'lhs').
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static_assert(pred == arith::CmpFPredicate::UGT ||
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pred == arith::CmpFPredicate::ULT,
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"pred must be either UGT or ULT");
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Value cmp = rewriter.create<arith::CmpFOp>(loc, pred, lhs, rhs);
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Value select = rewriter.create<arith::SelectOp>(loc, cmp, lhs, rhs);
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// Handle the case where rhs is NaN: 'isNaN(rhs) ? rhs : select'.
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Value isNaN = rewriter.create<arith::CmpFOp>(loc, arith::CmpFPredicate::UNO,
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rhs, rhs);
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rewriter.replaceOpWithNewOp<arith::SelectOp>(op, isNaN, rhs, select);
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return success();
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}
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};
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template <typename OpTy, arith::CmpIPredicate pred>
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struct MaxMinIOpConverter : public OpRewritePattern<OpTy> {
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public:
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using OpRewritePattern<OpTy>::OpRewritePattern;
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LogicalResult matchAndRewrite(OpTy op,
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PatternRewriter &rewriter) const final {
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Value lhs = op.getLhs();
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Value rhs = op.getRhs();
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Location loc = op.getLoc();
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Value cmp = rewriter.create<arith::CmpIOp>(loc, pred, lhs, rhs);
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rewriter.replaceOpWithNewOp<arith::SelectOp>(op, cmp, lhs, rhs);
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return success();
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}
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};
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struct ArithmeticExpandOpsPass
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: public arith::impl::ArithmeticExpandOpsBase<ArithmeticExpandOpsPass> {
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void runOnOperation() override {
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RewritePatternSet patterns(&getContext());
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ConversionTarget target(getContext());
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arith::populateArithmeticExpandOpsPatterns(patterns);
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target.addLegalDialect<arith::ArithmeticDialect>();
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// clang-format off
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target.addIllegalOp<
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arith::CeilDivSIOp,
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arith::CeilDivUIOp,
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arith::FloorDivSIOp,
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arith::MaxFOp,
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arith::MaxSIOp,
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arith::MaxUIOp,
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arith::MinFOp,
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arith::MinSIOp,
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arith::MinUIOp
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>();
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// clang-format on
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if (failed(applyPartialConversion(getOperation(), target,
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std::move(patterns))))
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signalPassFailure();
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}
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};
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} // namespace
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void mlir::arith::populateArithmeticExpandOpsPatterns(
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RewritePatternSet &patterns) {
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// clang-format off
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patterns.add<
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CeilDivSIOpConverter,
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CeilDivUIOpConverter,
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FloorDivSIOpConverter,
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MaxMinFOpConverter<MaxFOp, arith::CmpFPredicate::UGT>,
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MaxMinFOpConverter<MinFOp, arith::CmpFPredicate::ULT>,
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MaxMinIOpConverter<MaxSIOp, arith::CmpIPredicate::sgt>,
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MaxMinIOpConverter<MaxUIOp, arith::CmpIPredicate::ugt>,
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MaxMinIOpConverter<MinSIOp, arith::CmpIPredicate::slt>,
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MaxMinIOpConverter<MinUIOp, arith::CmpIPredicate::ult>
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>(patterns.getContext());
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// clang-format on
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}
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std::unique_ptr<Pass> mlir::arith::createArithmeticExpandOpsPass() {
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return std::make_unique<ArithmeticExpandOpsPass>();
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}
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