09dfc5713d
The greedy rewriter is used in many different flows and it has a lot of
convenience (work list management, debugging actions, tracing, etc). But
it combines two kinds of greedy behavior 1) how ops are matched, 2)
folding wherever it can.
These are independent forms of greedy and leads to inefficiency. E.g.,
cases where one need to create different phases in lowering and is
required to applying patterns in specific order split across different
passes. Using the driver one ends up needlessly retrying folding/having
multiple rounds of folding attempts, where one final run would have
sufficed.
Of course folks can locally avoid this behavior by just building their
own, but this is also a common requested feature that folks keep on
working around locally in suboptimal ways.
For downstream users, there should be no behavioral change. Updating
from the deprecated should just be a find and replace (e.g., `find ./
-type f -exec sed -i
's|applyPatternsAndFoldGreedily|applyPatternsGreedily|g' {} \;` variety)
as the API arguments hasn't changed between the two.
76 lines
2.6 KiB
C++
76 lines
2.6 KiB
C++
//===- ArmNeon2dToIntr.cpp - convert Arm Neon 2d ops to intrinsics --------===//
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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/Conversion/ArmNeon2dToIntr/ArmNeon2dToIntr.h"
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#include "mlir/Dialect/ArmNeon/ArmNeonDialect.h"
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#include "mlir/Dialect/Vector/IR/VectorOps.h"
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#include "mlir/IR/PatternMatch.h"
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#include "mlir/Pass/Pass.h"
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#include "mlir/Pass/PassRegistry.h"
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#include "mlir/Transforms/GreedyPatternRewriteDriver.h"
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namespace mlir {
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#define GEN_PASS_DEF_CONVERTARMNEON2DTOINTR
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#include "mlir/Conversion/Passes.h.inc"
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} // namespace mlir
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using namespace mlir;
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using namespace mlir::arm_neon;
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namespace {
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class Sdot2dLoweringPattern : public OpRewritePattern<Sdot2dOp> {
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public:
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using OpRewritePattern::OpRewritePattern;
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/// Convert to 1-dimensional vector type to match the requirements of
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/// arm.neon.intr.sdot
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LogicalResult matchAndRewrite(Sdot2dOp op,
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PatternRewriter &rewriter) const override {
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Type elemType = cast<VectorType>(op.getB().getType()).getElementType();
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int length = cast<VectorType>(op.getB().getType()).getShape()[0] *
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Sdot2dOp::kReductionSize;
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VectorType flattenedVectorType = VectorType::get({length}, elemType);
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Value b2d = op.getB();
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Value c2d = op.getC();
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Location loc = op.getLoc();
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Value b1d =
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rewriter.create<vector::ShapeCastOp>(loc, flattenedVectorType, b2d);
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Value c1d =
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rewriter.create<vector::ShapeCastOp>(loc, flattenedVectorType, c2d);
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Value newOp = rewriter.create<SdotOp>(loc, op.getRes().getType(), op.getA(),
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b1d, c1d);
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rewriter.replaceOp(op, {newOp});
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return success();
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}
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};
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class ConvertArmNeon2dToIntr
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: public impl::ConvertArmNeon2dToIntrBase<ConvertArmNeon2dToIntr> {
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void runOnOperation() override {
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auto *context = &getContext();
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RewritePatternSet patterns(context);
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populateConvertArmNeon2dToIntrPatterns(patterns);
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if (failed(applyPatternsGreedily(getOperation(), std::move(patterns))))
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return signalPassFailure();
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}
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};
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} // namespace
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void mlir::populateConvertArmNeon2dToIntrPatterns(RewritePatternSet &patterns) {
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patterns.add<Sdot2dLoweringPattern>(patterns.getContext());
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}
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std::unique_ptr<Pass> mlir::createConvertArmNeon2dToIntrPass() {
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return std::make_unique<ConvertArmNeon2dToIntr>();
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}
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