Files
clang-p2996/mlir/lib/Dialect/Shape/Transforms/ShapeToShapeLowering.cpp
Jacques Pienaar cfb72fd3a0 [mlir] Switch arith, llvm, std & shape dialects to accessors prefixed both form.
Following
https://llvm.discourse.group/t/psa-ods-generated-accessors-will-change-to-have-a-get-prefix-update-you-apis/4476,
this follows flipping these dialects to _Both prefixed form. This
changes the accessors to have a prefix. This was possibly mostly without
breaking breaking changes if the existing convenience methods were used.

(https://github.com/jpienaar/llvm-project/blob/main/clang-tools-extra/clang-tidy/misc/AddGetterCheck.cpp
was used to migrate the callers post flipping, using the output from
Operator.cpp)

Differential Revision: https://reviews.llvm.org/D112383
2021-10-24 18:36:33 -07:00

84 lines
2.8 KiB
C++

//===- 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 "PassDetail.h"
#include "mlir/Dialect/Arithmetic/IR/Arithmetic.h"
#include "mlir/Dialect/Shape/IR/Shape.h"
#include "mlir/Dialect/Shape/Transforms/Passes.h"
#include "mlir/Dialect/StandardOps/IR/Ops.h"
#include "mlir/IR/Builders.h"
#include "mlir/IR/PatternMatch.h"
#include "mlir/Pass/Pass.h"
#include "mlir/Transforms/DialectConversion.h"
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 ShapeToShapeLoweringBase<ShapeToShapeLowering> {
void runOnFunction() override;
};
} // namespace
void ShapeToShapeLowering::runOnFunction() {
MLIRContext &ctx = getContext();
RewritePatternSet patterns(&ctx);
populateShapeRewritePatterns(patterns);
ConversionTarget target(getContext());
target.addLegalDialect<arith::ArithmeticDialect, ShapeDialect,
StandardOpsDialect>();
target.addIllegalOp<NumElementsOp>();
if (failed(mlir::applyPartialConversion(getFunction(), 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>();
}