77 lines
2.4 KiB
C++
77 lines
2.4 KiB
C++
//===- ShapeToShapeLowering.cpp - Prepare for lowering to Standard --------===//
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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 "PassDetail.h"
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#include "mlir/Dialect/Shape/IR/Shape.h"
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#include "mlir/Dialect/Shape/Transforms/Passes.h"
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#include "mlir/IR/Builders.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/Transforms/DialectConversion.h"
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using namespace mlir;
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using namespace mlir::shape;
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namespace {
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/// Converts `shape.num_elements` to `shape.reduce`.
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struct NumElementsOpConverter : public OpRewritePattern<NumElementsOp> {
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public:
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using OpRewritePattern::OpRewritePattern;
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LogicalResult matchAndRewrite(NumElementsOp op,
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PatternRewriter &rewriter) const final;
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};
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} // namespace
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LogicalResult
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NumElementsOpConverter::matchAndRewrite(NumElementsOp op,
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PatternRewriter &rewriter) const {
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auto loc = op.getLoc();
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Value init = rewriter.create<ConstSizeOp>(loc, rewriter.getIndexAttr(1));
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ReduceOp reduce = rewriter.create<ReduceOp>(loc, op.shape(), init);
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// Generate reduce operator.
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Block *body = reduce.getBody();
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OpBuilder b = OpBuilder::atBlockEnd(body);
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Value product =
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b.create<MulOp>(loc, body->getArgument(1), body->getArgument(2));
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b.create<YieldOp>(loc, product);
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rewriter.replaceOp(op, reduce.result());
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return success();
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}
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namespace {
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struct ShapeToShapeLowering
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: public ShapeToShapeLoweringBase<ShapeToShapeLowering> {
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void runOnFunction() override;
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};
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} // namespace
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void ShapeToShapeLowering::runOnFunction() {
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MLIRContext &ctx = getContext();
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OwningRewritePatternList patterns;
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populateShapeRewritePatterns(&ctx, patterns);
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ConversionTarget target(getContext());
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target.addLegalDialect<ShapeDialect>();
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target.addIllegalOp<NumElementsOp>();
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if (failed(mlir::applyPartialConversion(getFunction(), target, patterns)))
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signalPassFailure();
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}
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void mlir::populateShapeRewritePatterns(MLIRContext *context,
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OwningRewritePatternList &patterns) {
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patterns.insert<NumElementsOpConverter>(context);
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}
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std::unique_ptr<Pass> mlir::createShapeToShapeLowering() {
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return std::make_unique<ShapeToShapeLowering>();
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}
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