llvm-project/mlir/lib/Transforms/Canonicalizer.cpp
Julian Gross e2310704d8 [MLIR] Create memref dialect and move dialect-specific ops from std.
Create the memref dialect and move dialect-specific ops
from std dialect to this dialect.

Moved ops:
AllocOp -> MemRef_AllocOp
AllocaOp -> MemRef_AllocaOp
AssumeAlignmentOp -> MemRef_AssumeAlignmentOp
DeallocOp -> MemRef_DeallocOp
DimOp -> MemRef_DimOp
MemRefCastOp -> MemRef_CastOp
MemRefReinterpretCastOp -> MemRef_ReinterpretCastOp
GetGlobalMemRefOp -> MemRef_GetGlobalOp
GlobalMemRefOp -> MemRef_GlobalOp
LoadOp -> MemRef_LoadOp
PrefetchOp -> MemRef_PrefetchOp
ReshapeOp -> MemRef_ReshapeOp
StoreOp -> MemRef_StoreOp
SubViewOp -> MemRef_SubViewOp
TransposeOp -> MemRef_TransposeOp
TensorLoadOp -> MemRef_TensorLoadOp
TensorStoreOp -> MemRef_TensorStoreOp
TensorToMemRefOp -> MemRef_BufferCastOp
ViewOp -> MemRef_ViewOp

The roadmap to split the memref dialect from std is discussed here:
https://llvm.discourse.group/t/rfc-split-the-memref-dialect-from-std/2667

Differential Revision: https://reviews.llvm.org/D98041
2021-03-15 11:14:09 +01:00

46 lines
1.6 KiB
C++

//===- Canonicalizer.cpp - Canonicalize MLIR operations -------------------===//
//
// 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
//
//===----------------------------------------------------------------------===//
//
// This transformation pass converts operations into their canonical forms by
// folding constants, applying operation identity transformations etc.
//
//===----------------------------------------------------------------------===//
#include "PassDetail.h"
#include "mlir/Dialect/MemRef/IR/MemRef.h"
#include "mlir/Pass/Pass.h"
#include "mlir/Transforms/GreedyPatternRewriteDriver.h"
#include "mlir/Transforms/Passes.h"
using namespace mlir;
namespace {
/// Canonicalize operations in nested regions.
struct Canonicalizer : public CanonicalizerBase<Canonicalizer> {
/// Initialize the canonicalizer by building the set of patterns used during
/// execution.
LogicalResult initialize(MLIRContext *context) override {
OwningRewritePatternList owningPatterns;
for (auto *op : context->getRegisteredOperations())
op->getCanonicalizationPatterns(owningPatterns, context);
patterns = std::move(owningPatterns);
return success();
}
void runOnOperation() override {
(void)applyPatternsAndFoldGreedily(getOperation()->getRegions(), patterns);
}
FrozenRewritePatternList patterns;
};
} // end anonymous namespace
/// Create a Canonicalizer pass.
std::unique_ptr<Pass> mlir::createCanonicalizerPass() {
return std::make_unique<Canonicalizer>();
}