Files
clang-p2996/mlir/lib/Dialect/Shape/Transforms/ShapeToShapeLowering.cpp
Michele Scuttari 67d0d7ac0a [MLIR] Update pass declarations to new autogenerated files
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
2022-08-31 12:28:45 +02:00

88 lines
2.9 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 "mlir/Dialect/Shape/Transforms/Passes.h"
#include "mlir/Dialect/Arithmetic/IR/Arithmetic.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::ArithmeticDialect, 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>();
}