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93 lines
3.4 KiB
C++
93 lines
3.4 KiB
C++
//===----------------------------------------------------------------------===//
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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 file implements pass that canonicalizes CIR operations, eliminating
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// redundant branches, empty scopes, and other unnecessary operations.
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//
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//===----------------------------------------------------------------------===//
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#include "PassDetail.h"
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#include "mlir/Dialect/Func/IR/FuncOps.h"
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#include "mlir/IR/Block.h"
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#include "mlir/IR/Operation.h"
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#include "mlir/IR/PatternMatch.h"
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#include "mlir/IR/Region.h"
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#include "mlir/Support/LogicalResult.h"
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#include "mlir/Transforms/GreedyPatternRewriteDriver.h"
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#include "clang/CIR/Dialect/IR/CIRDialect.h"
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#include "clang/CIR/Dialect/Passes.h"
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#include "clang/CIR/MissingFeatures.h"
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using namespace mlir;
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using namespace cir;
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namespace mlir {
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#define GEN_PASS_DEF_CIRCANONICALIZE
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#include "clang/CIR/Dialect/Passes.h.inc"
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} // namespace mlir
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namespace {
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//===----------------------------------------------------------------------===//
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// CIRCanonicalizePass
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//===----------------------------------------------------------------------===//
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struct CIRCanonicalizePass
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: public impl::CIRCanonicalizeBase<CIRCanonicalizePass> {
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using CIRCanonicalizeBase::CIRCanonicalizeBase;
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// The same operation rewriting done here could have been performed
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// by CanonicalizerPass (adding hasCanonicalizer for target Ops and
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// implementing the same from above in CIRDialects.cpp). However, it's
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// currently too aggressive for static analysis purposes, since it might
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// remove things where a diagnostic can be generated.
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//
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// FIXME: perhaps we can add one more mode to GreedyRewriteConfig to
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// disable this behavior.
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void runOnOperation() override;
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};
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void CIRCanonicalizePass::runOnOperation() {
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RewritePatternSet patterns(&getContext());
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// Collect canonicalization patterns from CIR ops.
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mlir::Dialect *cir = getContext().getLoadedDialect<cir::CIRDialect>();
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for (mlir::RegisteredOperationName op :
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getContext().getRegisteredOperations())
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if (&op.getDialect() == cir)
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op.getCanonicalizationPatterns(patterns, &getContext());
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// Collect operations to apply patterns.
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llvm::SmallVector<Operation *, 16> ops;
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getOperation()->walk([&](Operation *op) {
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assert(!cir::MissingFeatures::tryOp());
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assert(!cir::MissingFeatures::callOp());
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// Many operations are here to perform a manual `fold` in
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// applyOpPatternsGreedily.
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if (isa<BrOp, BrCondOp, CastOp, ScopeOp, SwitchOp, SelectOp, IncOp, DecOp,
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MinusOp, NotOp, AddOp, MulOp, AndOp, OrOp, XorOp, MaxOp, MinOp,
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ComplexCreateOp, ComplexImagOp, ComplexRealOp, VecCmpOp,
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VecCreateOp, VecExtractOp, VecShuffleOp, VecShuffleDynamicOp,
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VecTernaryOp, BitClrsbOp, BitClzOp, BitCtzOp, BitFfsOp, BitParityOp,
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BitPopcountOp, BitReverseOp, ByteSwapOp, RotateOp, ConstantOp,
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CleanupScopeOp>(op))
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ops.push_back(op);
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});
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// Apply patterns.
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if (applyOpPatternsGreedily(ops, std::move(patterns)).failed())
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signalPassFailure();
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}
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} // namespace
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std::unique_ptr<Pass> mlir::createCIRCanonicalizePass() {
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return std::make_unique<CIRCanonicalizePass>();
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}
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