forked from OSchip/llvm-project
464 lines
17 KiB
C++
464 lines
17 KiB
C++
//===- ICF.cpp ------------------------------------------------------------===//
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//
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// The LLVM Linker
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//
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// This file is distributed under the University of Illinois Open Source
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// License. See LICENSE.TXT for details.
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//
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//===----------------------------------------------------------------------===//
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//
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// ICF is short for Identical Code Folding. This is a size optimization to
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// identify and merge two or more read-only sections (typically functions)
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// that happened to have the same contents. It usually reduces output size
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// by a few percent.
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//
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// In ICF, two sections are considered identical if they have the same
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// section flags, section data, and relocations. Relocations are tricky,
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// because two relocations are considered the same if they have the same
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// relocation types, values, and if they point to the same sections *in
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// terms of ICF*.
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//
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// Here is an example. If foo and bar defined below are compiled to the
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// same machine instructions, ICF can and should merge the two, although
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// their relocations point to each other.
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//
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// void foo() { bar(); }
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// void bar() { foo(); }
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//
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// If you merge the two, their relocations point to the same section and
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// thus you know they are mergeable, but how do you know they are
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// mergeable in the first place? This is not an easy problem to solve.
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//
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// What we are doing in LLD is to partition sections into equivalence
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// classes. Sections in the same equivalence class when the algorithm
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// terminates are considered identical. Here are details:
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//
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// 1. First, we partition sections using their hash values as keys. Hash
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// values contain section types, section contents and numbers of
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// relocations. During this step, relocation targets are not taken into
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// account. We just put sections that apparently differ into different
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// equivalence classes.
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//
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// 2. Next, for each equivalence class, we visit sections to compare
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// relocation targets. Relocation targets are considered equivalent if
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// their targets are in the same equivalence class. Sections with
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// different relocation targets are put into different equivalence
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// clases.
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//
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// 3. If we split an equivalence class in step 2, two relocations
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// previously target the same equivalence class may now target
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// different equivalence classes. Therefore, we repeat step 2 until a
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// convergence is obtained.
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//
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// 4. For each equivalence class C, pick an arbitrary section in C, and
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// merge all the other sections in C with it.
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//
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// For small programs, this algorithm needs 3-5 iterations. For large
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// programs such as Chromium, it takes more than 20 iterations.
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//
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// This algorithm was mentioned as an "optimistic algorithm" in [1],
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// though gold implements a different algorithm than this.
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//
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// We parallelize each step so that multiple threads can work on different
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// equivalence classes concurrently. That gave us a large performance
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// boost when applying ICF on large programs. For example, MSVC link.exe
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// or GNU gold takes 10-20 seconds to apply ICF on Chromium, whose output
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// size is about 1.5 GB, but LLD can finish it in less than 2 seconds on a
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// 2.8 GHz 40 core machine. Even without threading, LLD's ICF is still
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// faster than MSVC or gold though.
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//
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// [1] Safe ICF: Pointer Safe and Unwinding aware Identical Code Folding
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// in the Gold Linker
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// http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/36912.pdf
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//
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//===----------------------------------------------------------------------===//
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#include "ICF.h"
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#include "Config.h"
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#include "SymbolTable.h"
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#include "Symbols.h"
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#include "SyntheticSections.h"
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#include "lld/Common/Threads.h"
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#include "llvm/ADT/Hashing.h"
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#include "llvm/BinaryFormat/ELF.h"
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#include "llvm/Object/ELF.h"
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#include <algorithm>
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#include <atomic>
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using namespace lld;
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using namespace lld::elf;
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using namespace llvm;
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using namespace llvm::ELF;
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using namespace llvm::object;
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namespace {
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template <class ELFT> class ICF {
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public:
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void run();
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private:
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void segregate(size_t Begin, size_t End, bool Constant);
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template <class RelTy>
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bool constantEq(const InputSection *A, ArrayRef<RelTy> RelsA,
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const InputSection *B, ArrayRef<RelTy> RelsB);
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template <class RelTy>
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bool variableEq(const InputSection *A, ArrayRef<RelTy> RelsA,
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const InputSection *B, ArrayRef<RelTy> RelsB);
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bool equalsConstant(const InputSection *A, const InputSection *B);
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bool equalsVariable(const InputSection *A, const InputSection *B);
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size_t findBoundary(size_t Begin, size_t End);
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void forEachClassRange(size_t Begin, size_t End,
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std::function<void(size_t, size_t)> Fn);
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void forEachClass(std::function<void(size_t, size_t)> Fn);
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std::vector<InputSection *> Sections;
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// We repeat the main loop while `Repeat` is true.
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std::atomic<bool> Repeat;
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// The main loop counter.
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int Cnt = 0;
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// We have two locations for equivalence classes. On the first iteration
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// of the main loop, Class[0] has a valid value, and Class[1] contains
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// garbage. We read equivalence classes from slot 0 and write to slot 1.
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// So, Class[0] represents the current class, and Class[1] represents
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// the next class. On each iteration, we switch their roles and use them
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// alternately.
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//
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// Why are we doing this? Recall that other threads may be working on
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// other equivalence classes in parallel. They may read sections that we
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// are updating. We cannot update equivalence classes in place because
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// it breaks the invariance that all possibly-identical sections must be
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// in the same equivalence class at any moment. In other words, the for
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// loop to update equivalence classes is not atomic, and that is
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// observable from other threads. By writing new classes to other
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// places, we can keep the invariance.
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//
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// Below, `Current` has the index of the current class, and `Next` has
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// the index of the next class. If threading is enabled, they are either
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// (0, 1) or (1, 0).
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//
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// Note on single-thread: if that's the case, they are always (0, 0)
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// because we can safely read the next class without worrying about race
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// conditions. Using the same location makes this algorithm converge
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// faster because it uses results of the same iteration earlier.
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int Current = 0;
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int Next = 0;
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};
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}
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// Returns a hash value for S. Note that the information about
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// relocation targets is not included in the hash value.
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template <class ELFT> static uint32_t getHash(InputSection *S) {
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return hash_combine(S->Flags, S->getSize(), S->NumRelocations, S->Data);
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}
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// Returns true if section S is subject of ICF.
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static bool isEligible(InputSection *S) {
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// Don't merge read only data sections unless
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// --ignore-data-address-equality was passed.
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if (!(S->Flags & SHF_EXECINSTR) && !Config->IgnoreDataAddressEquality)
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return false;
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// Don't merge synthetic sections as their Data member is not valid and empty.
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// The Data member needs to be valid for ICF as it is used by ICF to determine
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// the equality of section contents.
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if (isa<SyntheticSection>(S))
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return false;
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// .init and .fini contains instructions that must be executed to
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// initialize and finalize the process. They cannot and should not
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// be merged.
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return S->Live && (S->Flags & SHF_ALLOC) && !(S->Flags & SHF_WRITE) &&
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S->Name != ".init" && S->Name != ".fini";
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}
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// Split an equivalence class into smaller classes.
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template <class ELFT>
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void ICF<ELFT>::segregate(size_t Begin, size_t End, bool Constant) {
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// This loop rearranges sections in [Begin, End) so that all sections
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// that are equal in terms of equals{Constant,Variable} are contiguous
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// in [Begin, End).
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//
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// The algorithm is quadratic in the worst case, but that is not an
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// issue in practice because the number of the distinct sections in
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// each range is usually very small.
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while (Begin < End) {
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// Divide [Begin, End) into two. Let Mid be the start index of the
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// second group.
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auto Bound =
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std::stable_partition(Sections.begin() + Begin + 1,
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Sections.begin() + End, [&](InputSection *S) {
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if (Constant)
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return equalsConstant(Sections[Begin], S);
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return equalsVariable(Sections[Begin], S);
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});
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size_t Mid = Bound - Sections.begin();
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// Now we split [Begin, End) into [Begin, Mid) and [Mid, End) by
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// updating the sections in [Begin, Mid). We use Mid as an equivalence
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// class ID because every group ends with a unique index.
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for (size_t I = Begin; I < Mid; ++I)
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Sections[I]->Class[Next] = Mid;
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// If we created a group, we need to iterate the main loop again.
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if (Mid != End)
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Repeat = true;
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Begin = Mid;
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}
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}
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// Compare two lists of relocations.
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template <class ELFT>
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template <class RelTy>
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bool ICF<ELFT>::constantEq(const InputSection *SecA, ArrayRef<RelTy> RA,
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const InputSection *SecB, ArrayRef<RelTy> RB) {
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if (RA.size() != RB.size())
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return false;
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for (size_t I = 0; I < RA.size(); ++I) {
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if (RA[I].r_offset != RB[I].r_offset ||
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RA[I].getType(Config->IsMips64EL) != RB[I].getType(Config->IsMips64EL))
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return false;
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uint64_t AddA = getAddend<ELFT>(RA[I]);
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uint64_t AddB = getAddend<ELFT>(RB[I]);
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Symbol &SA = SecA->template getFile<ELFT>()->getRelocTargetSym(RA[I]);
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Symbol &SB = SecB->template getFile<ELFT>()->getRelocTargetSym(RB[I]);
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if (&SA == &SB) {
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if (AddA == AddB)
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continue;
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return false;
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}
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auto *DA = dyn_cast<Defined>(&SA);
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auto *DB = dyn_cast<Defined>(&SB);
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if (!DA || !DB)
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return false;
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// Relocations referring to absolute symbols are constant-equal if their
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// values are equal.
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if (!DA->Section && !DB->Section && DA->Value + AddA == DB->Value + AddB)
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continue;
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if (!DA->Section || !DB->Section)
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return false;
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if (DA->Section->kind() != DB->Section->kind())
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return false;
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// Relocations referring to InputSections are constant-equal if their
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// section offsets are equal.
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if (isa<InputSection>(DA->Section)) {
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if (DA->Value + AddA == DB->Value + AddB)
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continue;
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return false;
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}
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// Relocations referring to MergeInputSections are constant-equal if their
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// offsets in the output section are equal.
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auto *X = dyn_cast<MergeInputSection>(DA->Section);
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if (!X)
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return false;
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auto *Y = cast<MergeInputSection>(DB->Section);
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if (X->getParent() != Y->getParent())
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return false;
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uint64_t OffsetA =
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SA.isSection() ? X->getOffset(AddA) : X->getOffset(DA->Value) + AddA;
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uint64_t OffsetB =
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SB.isSection() ? Y->getOffset(AddB) : Y->getOffset(DB->Value) + AddB;
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if (OffsetA != OffsetB)
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return false;
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}
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return true;
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}
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// Compare "non-moving" part of two InputSections, namely everything
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// except relocation targets.
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template <class ELFT>
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bool ICF<ELFT>::equalsConstant(const InputSection *A, const InputSection *B) {
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if (A->NumRelocations != B->NumRelocations || A->Flags != B->Flags ||
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A->getSize() != B->getSize() || A->Data != B->Data)
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return false;
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if (A->AreRelocsRela)
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return constantEq(A, A->template relas<ELFT>(), B,
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B->template relas<ELFT>());
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return constantEq(A, A->template rels<ELFT>(), B, B->template rels<ELFT>());
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}
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// Compare two lists of relocations. Returns true if all pairs of
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// relocations point to the same section in terms of ICF.
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template <class ELFT>
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template <class RelTy>
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bool ICF<ELFT>::variableEq(const InputSection *SecA, ArrayRef<RelTy> RA,
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const InputSection *SecB, ArrayRef<RelTy> RB) {
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assert(RA.size() == RB.size());
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for (size_t I = 0; I < RA.size(); ++I) {
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// The two sections must be identical.
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Symbol &SA = SecA->template getFile<ELFT>()->getRelocTargetSym(RA[I]);
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Symbol &SB = SecB->template getFile<ELFT>()->getRelocTargetSym(RB[I]);
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if (&SA == &SB)
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continue;
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auto *DA = cast<Defined>(&SA);
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auto *DB = cast<Defined>(&SB);
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// We already dealt with absolute and non-InputSection symbols in
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// constantEq, and for InputSections we have already checked everything
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// except the equivalence class.
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if (!DA->Section)
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continue;
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auto *X = dyn_cast<InputSection>(DA->Section);
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if (!X)
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continue;
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auto *Y = cast<InputSection>(DB->Section);
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// Ineligible sections are in the special equivalence class 0.
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// They can never be the same in terms of the equivalence class.
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if (X->Class[Current] == 0)
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return false;
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if (X->Class[Current] != Y->Class[Current])
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return false;
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};
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return true;
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}
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// Compare "moving" part of two InputSections, namely relocation targets.
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template <class ELFT>
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bool ICF<ELFT>::equalsVariable(const InputSection *A, const InputSection *B) {
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if (A->AreRelocsRela)
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return variableEq(A, A->template relas<ELFT>(), B,
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B->template relas<ELFT>());
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return variableEq(A, A->template rels<ELFT>(), B, B->template rels<ELFT>());
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}
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template <class ELFT> size_t ICF<ELFT>::findBoundary(size_t Begin, size_t End) {
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uint32_t Class = Sections[Begin]->Class[Current];
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for (size_t I = Begin + 1; I < End; ++I)
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if (Class != Sections[I]->Class[Current])
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return I;
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return End;
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}
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// Sections in the same equivalence class are contiguous in Sections
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// vector. Therefore, Sections vector can be considered as contiguous
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// groups of sections, grouped by the class.
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//
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// This function calls Fn on every group that starts within [Begin, End).
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// Note that a group must start in that range but doesn't necessarily
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// have to end before End.
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template <class ELFT>
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void ICF<ELFT>::forEachClassRange(size_t Begin, size_t End,
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std::function<void(size_t, size_t)> Fn) {
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if (Begin > 0)
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Begin = findBoundary(Begin - 1, End);
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while (Begin < End) {
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size_t Mid = findBoundary(Begin, Sections.size());
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Fn(Begin, Mid);
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Begin = Mid;
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}
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}
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// Call Fn on each equivalence class.
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template <class ELFT>
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void ICF<ELFT>::forEachClass(std::function<void(size_t, size_t)> Fn) {
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// If threading is disabled or the number of sections are
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// too small to use threading, call Fn sequentially.
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if (!ThreadsEnabled || Sections.size() < 1024) {
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forEachClassRange(0, Sections.size(), Fn);
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++Cnt;
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return;
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}
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Current = Cnt % 2;
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Next = (Cnt + 1) % 2;
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// Split sections into 256 shards and call Fn in parallel.
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size_t NumShards = 256;
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size_t Step = Sections.size() / NumShards;
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parallelForEachN(0, NumShards, [&](size_t I) {
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size_t End = (I == NumShards - 1) ? Sections.size() : (I + 1) * Step;
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forEachClassRange(I * Step, End, Fn);
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});
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++Cnt;
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}
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static void print(const Twine &S) {
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if (Config->PrintIcfSections)
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message(S);
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}
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// The main function of ICF.
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template <class ELFT> void ICF<ELFT>::run() {
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// Collect sections to merge.
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for (InputSectionBase *Sec : InputSections)
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if (auto *S = dyn_cast<InputSection>(Sec))
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if (isEligible(S))
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Sections.push_back(S);
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// Initially, we use hash values to partition sections.
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parallelForEach(Sections, [&](InputSection *S) {
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// Set MSB to 1 to avoid collisions with non-hash IDs.
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S->Class[0] = getHash<ELFT>(S) | (1 << 31);
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});
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// From now on, sections in Sections vector are ordered so that sections
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// in the same equivalence class are consecutive in the vector.
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std::stable_sort(Sections.begin(), Sections.end(),
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[](InputSection *A, InputSection *B) {
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return A->Class[0] < B->Class[0];
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});
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// Compare static contents and assign unique IDs for each static content.
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forEachClass([&](size_t Begin, size_t End) { segregate(Begin, End, true); });
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// Split groups by comparing relocations until convergence is obtained.
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do {
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Repeat = false;
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forEachClass(
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[&](size_t Begin, size_t End) { segregate(Begin, End, false); });
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} while (Repeat);
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log("ICF needed " + Twine(Cnt) + " iterations");
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// Merge sections by the equivalence class.
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forEachClassRange(0, Sections.size(), [&](size_t Begin, size_t End) {
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if (End - Begin == 1)
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return;
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print("selected section " + toString(Sections[Begin]));
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for (size_t I = Begin + 1; I < End; ++I) {
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print(" removing identical section " + toString(Sections[I]));
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Sections[Begin]->replace(Sections[I]);
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// At this point we know sections merged are fully identical and hence
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// we want to remove duplicate implicit dependencies such as link order
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// and relocation sections.
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for (InputSection *IS : Sections[I]->DependentSections)
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IS->Live = false;
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}
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});
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}
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// ICF entry point function.
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template <class ELFT> void elf::doIcf() { ICF<ELFT>().run(); }
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template void elf::doIcf<ELF32LE>();
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template void elf::doIcf<ELF32BE>();
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template void elf::doIcf<ELF64LE>();
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template void elf::doIcf<ELF64BE>();
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