forked from OSchip/llvm-project
65 lines
2.4 KiB
C++
65 lines
2.4 KiB
C++
//===- Canonicalizer.cpp - Canonicalize MLIR operations -------------------===//
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//
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// Copyright 2019 The MLIR Authors.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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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.h"
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#include "mlir/Transforms/Passes.h"
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using namespace mlir;
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//===----------------------------------------------------------------------===//
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// The actual Canonicalizer Pass.
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//===----------------------------------------------------------------------===//
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namespace {
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/// Canonicalize operations in functions.
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struct Canonicalizer : public FunctionPass {
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Canonicalizer() : FunctionPass(&Canonicalizer::passID) {}
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PassResult runOnFunction(Function *fn) override;
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static char passID;
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};
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} // end anonymous namespace
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char Canonicalizer::passID = 0;
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PassResult Canonicalizer::runOnFunction(Function *fn) {
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auto *context = fn->getContext();
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OwningRewritePatternList patterns;
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// TODO: Instead of adding all known patterns from the whole system lazily add
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// and cache the canonicalization patterns for ops we see in practice when
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// building the worklist. For now, we just grab everything.
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for (auto *op : fn->getContext()->getRegisteredOperations())
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op->getCanonicalizationPatterns(patterns, context);
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applyPatternsGreedily(fn, std::move(patterns));
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return success();
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}
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/// Create a Canonicalizer pass.
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FunctionPass *mlir::createCanonicalizerPass() { return new Canonicalizer(); }
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static PassRegistration<Canonicalizer> pass("canonicalize",
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"Canonicalize operations");
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