Files
clang-p2996/mlir/lib/Dialect/Arithmetic/Transforms/Bufferize.cpp
Mogball a54f4eae0e [MLIR] Replace std ops with arith dialect ops
Precursor: https://reviews.llvm.org/D110200

Removed redundant ops from the standard dialect that were moved to the
`arith` or `math` dialects.

Renamed all instances of operations in the codebase and in tests.

Reviewed By: rriddle, jpienaar

Differential Revision: https://reviews.llvm.org/D110797
2021-10-13 03:07:03 +00:00

66 lines
2.2 KiB
C++

//===- Bufferize.cpp - Bufferization for Arithmetic ops ---------*- C++ -*-===//
//
// 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/Transforms/Bufferize.h"
#include "PassDetail.h"
#include "mlir/Dialect/Arithmetic/Transforms/Passes.h"
#include "mlir/Dialect/MemRef/IR/MemRef.h"
using namespace mlir;
namespace {
/// Bufferize arith.index_cast.
struct BufferizeIndexCastOp : public OpConversionPattern<arith::IndexCastOp> {
using OpConversionPattern::OpConversionPattern;
LogicalResult
matchAndRewrite(arith::IndexCastOp op, OpAdaptor adaptor,
ConversionPatternRewriter &rewriter) const override {
auto tensorType = op.getType().cast<RankedTensorType>();
rewriter.replaceOpWithNewOp<arith::IndexCastOp>(
op, adaptor.in(),
MemRefType::get(tensorType.getShape(), tensorType.getElementType()));
return success();
}
};
/// Pass to bufferize Arithmetic ops.
struct ArithmeticBufferizePass
: public ArithmeticBufferizeBase<ArithmeticBufferizePass> {
void runOnFunction() override {
BufferizeTypeConverter typeConverter;
RewritePatternSet patterns(&getContext());
ConversionTarget target(getContext());
target.addLegalDialect<arith::ArithmeticDialect, memref::MemRefDialect>();
arith::populateArithmeticBufferizePatterns(typeConverter, patterns);
target.addDynamicallyLegalOp<arith::IndexCastOp>(
[&](arith::IndexCastOp op) {
return typeConverter.isLegal(op.getType());
});
if (failed(
applyPartialConversion(getFunction(), target, std::move(patterns))))
signalPassFailure();
}
};
} // end anonymous namespace
void mlir::arith::populateArithmeticBufferizePatterns(
BufferizeTypeConverter &typeConverter, RewritePatternSet &patterns) {
patterns.add<BufferizeIndexCastOp>(typeConverter, patterns.getContext());
}
std::unique_ptr<Pass> mlir::arith::createArithmeticBufferizePass() {
return std::make_unique<ArithmeticBufferizePass>();
}