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//===- ShapeToShapeLowering.cpp - Prepare for lowering to Standard --------===//
//
// 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
//
//===----------------------------------------------------------------------===//
#include "mlir/Dialect/Shape/Transforms/Passes.h"
#include "mlir/Dialect/Arith/IR/Arith.h"
#include "mlir/Dialect/Func/IR/FuncOps.h"
#include "mlir/Dialect/Shape/IR/Shape.h"
#include "mlir/IR/Builders.h"
#include "mlir/IR/PatternMatch.h"
#include "mlir/Pass/Pass.h"
#include "mlir/Transforms/DialectConversion.h"
namespace mlir {
#define GEN_PASS_DEF_SHAPETOSHAPELOWERING
#include "mlir/Dialect/Shape/Transforms/Passes.h.inc"
} // namespace mlir
using namespace mlir;
using namespace mlir::shape;
namespace {
/// Converts `shape.num_elements` to `shape.reduce`.
struct NumElementsOpConverter : public OpRewritePattern<NumElementsOp> {
public:
using OpRewritePattern::OpRewritePattern;
LogicalResult matchAndRewrite(NumElementsOp op,
PatternRewriter &rewriter) const final;
};
} // namespace
LogicalResult
NumElementsOpConverter::matchAndRewrite(NumElementsOp op,
PatternRewriter &rewriter) const {
auto loc = op.getLoc();
Type valueType = op.getResult().getType();
Value init = op->getDialect()
->materializeConstant(rewriter, rewriter.getIndexAttr(1),
valueType, loc)
->getResult(0);
ReduceOp reduce = rewriter.create<ReduceOp>(loc, op.getShape(), init);
// Generate reduce operator.
Block *body = reduce.getBody();
OpBuilder b = OpBuilder::atBlockEnd(body);
Value product = b.create<MulOp>(loc, valueType, body->getArgument(1),
body->getArgument(2));
b.create<shape::YieldOp>(loc, product);
rewriter.replaceOp(op, reduce.getResult());
return success();
}
namespace {
struct ShapeToShapeLowering
: public impl::ShapeToShapeLoweringBase<ShapeToShapeLowering> {
void runOnOperation() override;
};
} // namespace
void ShapeToShapeLowering::runOnOperation() {
MLIRContext &ctx = getContext();
RewritePatternSet patterns(&ctx);
populateShapeRewritePatterns(patterns);
ConversionTarget target(getContext());
target.addLegalDialect<arith::ArithDialect, ShapeDialect>();
target.addIllegalOp<NumElementsOp>();
if (failed(mlir::applyPartialConversion(getOperation(), target,
std::move(patterns))))
signalPassFailure();
}
void mlir::populateShapeRewritePatterns(RewritePatternSet &patterns) {
patterns.add<NumElementsOpConverter>(patterns.getContext());
}
std::unique_ptr<Pass> mlir::createShapeToShapeLowering() {
return std::make_unique<ShapeToShapeLowering>();
}
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