[clang-tidy][NFC] Remove optimized container implementations in misc-no-recursion (#187630)
About half of this check's code is dedicated to implementing a pair of set containers with optimizations for when the element count is small. But the check only uses these containers while constructing the warning message. That's not generally a hot path in any check. Just to confirm, I ran the check over `clang/lib/Sema/Sema.cpp` and all its included headers before and after, and saw no performance difference. So, these containers seem like a false optimization.
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@ -16,157 +16,27 @@ using namespace clang::ast_matchers;
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namespace clang::tidy::misc {
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namespace {
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/// Much like SmallSet, with two differences:
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/// 1. It can *only* be constructed from an ArrayRef<>. If the element count
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/// is small, there is no copy and said storage *must* outlive us.
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/// 2. it is immutable, the way it was constructed it will stay.
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template <typename T, unsigned SmallSize> class ImmutableSmallSet {
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ArrayRef<T> Vector;
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llvm::DenseSet<T> Set;
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static_assert(SmallSize <= 32, "N should be small");
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bool isSmall() const { return Set.empty(); }
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public:
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using size_type = size_t;
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ImmutableSmallSet() = delete;
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ImmutableSmallSet(const ImmutableSmallSet &) = delete;
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ImmutableSmallSet(ImmutableSmallSet &&) = delete;
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T &operator=(const ImmutableSmallSet &) = delete;
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T &operator=(ImmutableSmallSet &&) = delete;
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// WARNING: Storage *must* outlive us if we decide that the size is small.
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ImmutableSmallSet(ArrayRef<T> Storage) {
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// Is size small-enough to just keep using the existing storage?
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if (Storage.size() <= SmallSize) {
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Vector = Storage;
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return;
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}
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// We've decided that it isn't performant to keep using vector.
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// Let's migrate the data into Set.
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Set.reserve(Storage.size());
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Set.insert_range(Storage);
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}
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/// count - Return 1 if the element is in the set, 0 otherwise.
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size_type count(const T &V) const {
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if (isSmall()) {
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// Since the collection is small, just do a linear search.
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return llvm::is_contained(Vector, V) ? 1 : 0;
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}
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return Set.count(V);
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}
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};
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/// Much like SmallSetVector, but with one difference:
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/// when the size is \p SmallSize or less, when checking whether an element is
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/// already in the set or not, we perform linear search over the vector,
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/// but if the size is larger than \p SmallSize, we look in set.
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/// FIXME: upstream this into SetVector/SmallSetVector itself.
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template <typename T, unsigned SmallSize> class SmartSmallSetVector {
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public:
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using size_type = size_t;
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private:
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SmallVector<T, SmallSize> Vector;
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llvm::DenseSet<T> Set;
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static_assert(SmallSize <= 32, "N should be small");
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// Are we still using Vector for uniqness tracking?
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bool isSmall() const { return Set.empty(); }
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// Will one more entry cause Vector to switch away from small-size storage?
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bool entiretyOfVectorSmallSizeIsOccupied() const {
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assert(isSmall() && Vector.size() <= SmallSize &&
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"Shouldn't ask if we have already [should have] migrated into Set.");
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return Vector.size() == SmallSize;
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}
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void populateSet() {
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assert(Set.empty() && "Should not have already utilized the Set.");
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// Magical growth factor prediction - to how many elements do we expect to
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// sanely grow after switching away from small-size storage?
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const size_t NewMaxElts = 4 * Vector.size();
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Vector.reserve(NewMaxElts);
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Set.reserve(NewMaxElts);
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Set.insert_range(Vector);
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}
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/// count - Return 1 if the element is in the set, 0 otherwise.
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size_type count(const T &V) const {
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if (isSmall()) {
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// Since the collection is small, just do a linear search.
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return llvm::is_contained(Vector, V) ? 1 : 0;
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}
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// Look-up in the Set.
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return Set.count(V);
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}
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bool setInsert(const T &V) {
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if (count(V) != 0)
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return false; // Already exists.
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// Does not exist, Can/need to record it.
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if (isSmall()) { // Are we still using Vector for uniqness tracking?
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// Will one more entry fit within small-sized Vector?
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if (!entiretyOfVectorSmallSizeIsOccupied())
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return true; // We'll insert into vector right afterwards anyway.
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// Time to switch to Set.
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populateSet();
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}
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// Set time!
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// Note that this must be after `populateSet()` might have been called.
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const bool SetInsertionSucceeded = Set.insert(V).second;
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(void)SetInsertionSucceeded;
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assert(SetInsertionSucceeded && "We did check that no such value existed");
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return true;
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}
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public:
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/// Insert a new element into the SmartSmallSetVector.
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/// \returns true if the element was inserted into the SmartSmallSetVector.
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bool insert(const T &X) {
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const bool Result = setInsert(X);
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if (Result)
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Vector.push_back(X);
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return Result;
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}
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/// Clear the SmartSmallSetVector and return the underlying vector.
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decltype(Vector) takeVector() {
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Set.clear();
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return std::move(Vector);
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}
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};
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constexpr unsigned SmallCallStackSize = 16;
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constexpr unsigned SmallSCCSize = 32;
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static constexpr unsigned SmallCallStackSize = 16;
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static constexpr unsigned SmallSCCSize = 32;
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using CallStackTy = SmallVector<CallGraphNode::CallRecord, SmallCallStackSize>;
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} // namespace
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// In given SCC, find *some* call stack that will be cyclic.
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// This will only find *one* such stack, it might not be the smallest one,
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// and there may be other loops.
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static CallStackTy pathfindSomeCycle(ArrayRef<CallGraphNode *> SCC) {
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// We'll need to be able to performantly look up whether some CallGraphNode
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// is in SCC or not, so cache all the SCC elements in a set.
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const ImmutableSmallSet<CallGraphNode *, SmallSCCSize> SCCElts(SCC);
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const llvm::SmallPtrSet<CallGraphNode *, SmallSCCSize> SCCElts(
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llvm::from_range, SCC);
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// Is node N part if the current SCC?
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auto NodeIsPartOfSCC = [&SCCElts](CallGraphNode *N) {
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return SCCElts.count(N) != 0;
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return SCCElts.contains(N);
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};
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// Track the call stack that will cause a cycle.
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SmartSmallSetVector<CallGraphNode::CallRecord, SmallCallStackSize>
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llvm::SmallSetVector<CallGraphNode::CallRecord, SmallCallStackSize>
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CallStackSet;
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// Arbitrarily take the first element of SCC as entry point.
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