308571074c
This is an artifact from merging MLIR into LLVM, the file headers are now aligned with the rest of the project.
46 lines
1.7 KiB
C++
46 lines
1.7 KiB
C++
//===- Canonicalizer.cpp - Canonicalize MLIR operations -------------------===//
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//
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// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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//
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//===----------------------------------------------------------------------===//
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//
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// This transformation pass converts operations into their canonical forms by
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// folding constants, applying operation identity transformations etc.
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//
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//===----------------------------------------------------------------------===//
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#include "mlir/IR/MLIRContext.h"
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#include "mlir/IR/PatternMatch.h"
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#include "mlir/Pass/Pass.h"
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#include "mlir/Transforms/Passes.h"
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using namespace mlir;
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namespace {
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/// Canonicalize operations in nested regions.
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struct Canonicalizer : public OperationPass<Canonicalizer> {
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void runOnOperation() override {
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OwningRewritePatternList patterns;
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// TODO: Instead of adding all known patterns from the whole system lazily
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// add and cache the canonicalization patterns for ops we see in practice
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// when building the worklist. For now, we just grab everything.
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auto *context = &getContext();
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for (auto *op : context->getRegisteredOperations())
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op->getCanonicalizationPatterns(patterns, context);
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Operation *op = getOperation();
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applyPatternsGreedily(op->getRegions(), patterns);
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}
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};
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} // end anonymous namespace
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/// Create a Canonicalizer pass.
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std::unique_ptr<Pass> mlir::createCanonicalizerPass() {
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return std::make_unique<Canonicalizer>();
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}
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static PassRegistration<Canonicalizer> pass("canonicalize",
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"Canonicalize operations");
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