| // Copyright 2016 The Chromium Authors. All rights reserved. |
| // Use of this source code is governed by a BSD-style license that can be |
| // found in the LICENSE file. |
| |
| #ifndef BASE_TRACE_EVENT_MEMORY_USAGE_ESTIMATOR_H_ |
| #define BASE_TRACE_EVENT_MEMORY_USAGE_ESTIMATOR_H_ |
| |
| #include <array> |
| #include <deque> |
| #include <list> |
| #include <map> |
| #include <memory> |
| #include <queue> |
| #include <set> |
| #include <stack> |
| #include <string> |
| #include <type_traits> |
| #include <unordered_map> |
| #include <unordered_set> |
| #include <vector> |
| |
| #include "base/base_export.h" |
| #include "base/containers/circular_deque.h" |
| #include "base/containers/flat_map.h" |
| #include "base/containers/flat_set.h" |
| #include "base/containers/linked_list.h" |
| #include "base/containers/mru_cache.h" |
| #include "base/containers/queue.h" |
| #include "base/stl_util.h" |
| #include "base/strings/string16.h" |
| #include "base/template_util.h" |
| #include "nb/cpp14oncpp11.h" |
| #include "starboard/types.h" |
| |
| // Composable memory usage estimators. |
| // |
| // This file defines set of EstimateMemoryUsage(object) functions that return |
| // approximate memory usage of their argument. |
| // |
| // The ultimate goal is to make memory usage estimation for a class simply a |
| // matter of aggregating EstimateMemoryUsage() results over all fields. |
| // |
| // That is achieved via composability: if EstimateMemoryUsage() is defined |
| // for T then EstimateMemoryUsage() is also defined for any combination of |
| // containers holding T (e.g. std::map<int, std::vector<T>>). |
| // |
| // There are two ways of defining EstimateMemoryUsage() for a type: |
| // |
| // 1. As a global function 'size_t EstimateMemoryUsage(T)' in |
| // in base::trace_event namespace. |
| // |
| // 2. As 'size_t T::EstimateMemoryUsage() const' method. In this case |
| // EstimateMemoryUsage(T) function in base::trace_event namespace is |
| // provided automatically. |
| // |
| // Here is an example implementation: |
| // |
| // size_t foo::bar::MyClass::EstimateMemoryUsage() const { |
| // return base::trace_event::EstimateMemoryUsage(name_) + |
| // base::trace_event::EstimateMemoryUsage(id_) + |
| // base::trace_event::EstimateMemoryUsage(items_); |
| // } |
| // |
| // The approach is simple: first call EstimateMemoryUsage() on all members, |
| // then recursively fix compilation errors that are caused by types not |
| // implementing EstimateMemoryUsage(). |
| |
| namespace base { |
| namespace trace_event { |
| |
| // Declarations |
| |
| // If T declares 'EstimateMemoryUsage() const' member function, then |
| // global function EstimateMemoryUsage(T) is available, and just calls |
| // the member function. |
| template <class T> |
| auto EstimateMemoryUsage(const T& object) |
| -> decltype(object.EstimateMemoryUsage()); |
| |
| // String |
| |
| template <class C, class T, class A> |
| size_t EstimateMemoryUsage(const std::basic_string<C, T, A>& string); |
| |
| // Arrays |
| |
| template <class T, size_t N> |
| size_t EstimateMemoryUsage(const std::array<T, N>& array); |
| |
| template <class T, size_t N> |
| size_t EstimateMemoryUsage(T (&array)[N]); |
| |
| template <class T> |
| size_t EstimateMemoryUsage(const T* array, size_t array_length); |
| |
| // std::unique_ptr |
| |
| template <class T, class D> |
| size_t EstimateMemoryUsage(const std::unique_ptr<T, D>& ptr); |
| |
| template <class T, class D> |
| size_t EstimateMemoryUsage(const std::unique_ptr<T[], D>& array, |
| size_t array_length); |
| |
| // std::shared_ptr |
| |
| template <class T> |
| size_t EstimateMemoryUsage(const std::shared_ptr<T>& ptr); |
| |
| // Containers |
| |
| template <class F, class S> |
| size_t EstimateMemoryUsage(const std::pair<F, S>& pair); |
| |
| template <class T, class A> |
| size_t EstimateMemoryUsage(const std::vector<T, A>& vector); |
| |
| template <class T, class A> |
| size_t EstimateMemoryUsage(const std::list<T, A>& list); |
| |
| template <class T> |
| size_t EstimateMemoryUsage(const base::LinkedList<T>& list); |
| |
| template <class T, class C, class A> |
| size_t EstimateMemoryUsage(const std::set<T, C, A>& set); |
| |
| template <class T, class C, class A> |
| size_t EstimateMemoryUsage(const std::multiset<T, C, A>& set); |
| |
| template <class K, class V, class C, class A> |
| size_t EstimateMemoryUsage(const std::map<K, V, C, A>& map); |
| |
| template <class K, class V, class C, class A> |
| size_t EstimateMemoryUsage(const std::multimap<K, V, C, A>& map); |
| |
| template <class T, class H, class KE, class A> |
| size_t EstimateMemoryUsage(const std::unordered_set<T, H, KE, A>& set); |
| |
| template <class T, class H, class KE, class A> |
| size_t EstimateMemoryUsage(const std::unordered_multiset<T, H, KE, A>& set); |
| |
| template <class K, class V, class H, class KE, class A> |
| size_t EstimateMemoryUsage(const std::unordered_map<K, V, H, KE, A>& map); |
| |
| template <class K, class V, class H, class KE, class A> |
| size_t EstimateMemoryUsage(const std::unordered_multimap<K, V, H, KE, A>& map); |
| |
| template <class T, class A> |
| size_t EstimateMemoryUsage(const std::deque<T, A>& deque); |
| |
| template <class T, class C> |
| size_t EstimateMemoryUsage(const std::queue<T, C>& queue); |
| |
| template <class T, class C> |
| size_t EstimateMemoryUsage(const std::priority_queue<T, C>& queue); |
| |
| template <class T, class C> |
| size_t EstimateMemoryUsage(const std::stack<T, C>& stack); |
| |
| template <class T> |
| size_t EstimateMemoryUsage(const base::circular_deque<T>& deque); |
| |
| template <class T, class C> |
| size_t EstimateMemoryUsage(const base::flat_set<T, C>& set); |
| |
| template <class K, class V, class C> |
| size_t EstimateMemoryUsage(const base::flat_map<K, V, C>& map); |
| |
| template <class Key, |
| class Payload, |
| class HashOrComp, |
| template <typename, typename, typename> class Map> |
| size_t EstimateMemoryUsage(const MRUCacheBase<Key, Payload, HashOrComp, Map>&); |
| |
| // TODO(dskiba): |
| // std::forward_list |
| |
| // Definitions |
| |
| namespace internal { |
| |
| // HasEMU<T>::value is true iff EstimateMemoryUsage(T) is available. |
| // (This is the default version, which is false.) |
| template <class T, class X = void> |
| struct HasEMU : std::false_type {}; |
| |
| // This HasEMU specialization is only picked up if there exists function |
| // EstimateMemoryUsage(const T&) that returns size_t. Simpler ways to |
| // achieve this don't work on MSVC. |
| template <class T> |
| struct HasEMU< |
| T, |
| typename std::enable_if<std::is_same< |
| size_t, |
| decltype(EstimateMemoryUsage(std::declval<const T&>()))>::value>::type> |
| : std::true_type {}; |
| |
| // EMUCaller<T> does three things: |
| // 1. Defines Call() method that calls EstimateMemoryUsage(T) if it's |
| // available. |
| // 2. If EstimateMemoryUsage(T) is not available, but T has trivial dtor |
| // (i.e. it's POD, integer, pointer, enum, etc.) then it defines Call() |
| // method that returns 0. This is useful for containers, which allocate |
| // memory regardless of T (also for cases like std::map<int, MyClass>). |
| // 3. Finally, if EstimateMemoryUsage(T) is not available, then it triggers |
| // a static_assert with a helpful message. That cuts numbers of errors |
| // considerably - if you just call EstimateMemoryUsage(T) but it's not |
| // available for T, then compiler will helpfully list *all* possible |
| // variants of it, with an explanation for each. |
| template <class T, class X = void> |
| struct EMUCaller { |
| // std::is_same<> below makes static_assert depend on T, in order to |
| // prevent it from asserting regardless instantiation. |
| #if !defined(_GLIBCXX_DEBUG) && !defined(_LIBCPP_DEBUG) |
| static_assert(std::is_same<T, std::false_type>::value, |
| "Neither global function 'size_t EstimateMemoryUsage(T)' " |
| "nor member function 'size_t T::EstimateMemoryUsage() const' " |
| "is defined for the type."); |
| #endif |
| |
| static size_t Call(const T&) { return 0; } |
| }; |
| |
| template <class T> |
| struct EMUCaller<T, typename std::enable_if<HasEMU<T>::value>::type> { |
| static size_t Call(const T& value) { return EstimateMemoryUsage(value); } |
| }; |
| |
| template <template <class...> class Container, class I, class = void> |
| struct IsComplexIteratorForContainer : std::false_type {}; |
| |
| template <template <class...> class Container, class I> |
| struct IsComplexIteratorForContainer< |
| Container, |
| I, |
| std::enable_if_t<!std::is_pointer<I>::value && |
| base::internal::is_iterator<I>::value>> { |
| using value_type = typename std::iterator_traits<I>::value_type; |
| using container_type = Container<value_type>; |
| |
| // We use enum instead of static constexpr bool, beause we don't have inline |
| // variables until c++17. |
| // |
| // The downside is - value is not of type bool. |
| enum : bool { |
| value = |
| std::is_same<typename container_type::iterator, I>::value || |
| std::is_same<typename container_type::const_iterator, I>::value || |
| std::is_same<typename container_type::reverse_iterator, I>::value || |
| std::is_same<typename container_type::const_reverse_iterator, I>::value, |
| }; |
| }; |
| |
| #if defined(STARBOARD) |
| template <class I> |
| struct IsComplexIteratorForContainer< |
| std::multiset, |
| I, |
| std::enable_if_t<!std::is_pointer<I>::value && |
| base::internal::is_iterator<I>::value>> { |
| using value_type = typename std::iterator_traits<I>::value_type; |
| using container_type = std::multiset<value_type, std::greater<value_type>>; |
| |
| // We use enum instead of static constexpr bool, beause we don't have inline |
| // variables until c++17. |
| // |
| // The downside is - value is not of type bool. |
| enum : bool { |
| value = |
| std::is_same<typename container_type::iterator, I>::value || |
| std::is_same<typename container_type::const_iterator, I>::value || |
| std::is_same<typename container_type::reverse_iterator, I>::value || |
| std::is_same<typename container_type::const_reverse_iterator, I>::value, |
| }; |
| }; |
| #endif |
| |
| template <class I, template <class...> class... Containers> |
| CONSTEXPR bool OneOfContainersComplexIterators() { |
| // We are forced to create a temporary variable to workaround a compilation |
| // error in msvs. |
| const bool all_tests[] = { |
| IsComplexIteratorForContainer<Containers, I>::value...}; |
| for (bool test : all_tests) |
| if (test) |
| return true; |
| return false; |
| } |
| |
| // std::array has an extra required template argument. We curry it. |
| template <class T> |
| using array_test_helper = std::array<T, 1>; |
| |
| template <class I> |
| constexpr bool IsStandardContainerComplexIterator() { |
| // TODO(dyaroshev): deal with maps iterators if there is a need. |
| // It requires to parse pairs into keys and values. |
| // TODO(dyaroshev): deal with unordered containers: they do not have reverse |
| // iterators. |
| return OneOfContainersComplexIterators< |
| I, array_test_helper, std::vector, std::deque, |
| /*std::forward_list,*/ std::list, std::set, std::multiset>(); |
| } |
| |
| #if defined(STARBOARD) |
| template <class T> |
| struct EMUCaller< |
| T, |
| typename std::enable_if<!HasEMU<T>::value && |
| std::is_trivially_destructible<T>::value>::type> { |
| static size_t Call(const T& value) { return 0; } |
| }; |
| #else // defined(STARBOARD) |
| // Work around MSVS bug. For some reason constexpr function doesn't work. |
| // However variable template does. |
| template <typename T> |
| constexpr bool IsKnownNonAllocatingType_v = |
| std::is_trivially_destructible<T>::value || |
| IsStandardContainerComplexIterator<T>(); |
| |
| template <class T> |
| struct EMUCaller< |
| T, |
| std::enable_if_t<!HasEMU<T>::value && IsKnownNonAllocatingType_v<T>>> { |
| static size_t Call(const T& value) { return 0; } |
| }; |
| #endif // defined(STARBOARD) |
| |
| } // namespace internal |
| |
| // Proxy that deducts T and calls EMUCaller<T>. |
| // To be used by EstimateMemoryUsage() implementations for containers. |
| template <class T> |
| size_t EstimateItemMemoryUsage(const T& value) { |
| return internal::EMUCaller<T>::Call(value); |
| } |
| |
| template <class I> |
| size_t EstimateIterableMemoryUsage(const I& iterable) { |
| size_t memory_usage = 0; |
| for (const auto& item : iterable) { |
| memory_usage += EstimateItemMemoryUsage(item); |
| } |
| return memory_usage; |
| } |
| |
| // Global EstimateMemoryUsage(T) that just calls T::EstimateMemoryUsage(). |
| template <class T> |
| auto EstimateMemoryUsage(const T& object) |
| -> decltype(object.EstimateMemoryUsage()) { |
| static_assert( |
| std::is_same<decltype(object.EstimateMemoryUsage()), size_t>::value, |
| "'T::EstimateMemoryUsage() const' must return size_t."); |
| return object.EstimateMemoryUsage(); |
| } |
| |
| // String |
| |
| template <class C, class T, class A> |
| size_t EstimateMemoryUsage(const std::basic_string<C, T, A>& string) { |
| using string_type = std::basic_string<C, T, A>; |
| using value_type = typename string_type::value_type; |
| // C++11 doesn't leave much room for implementors - std::string can |
| // use short string optimization, but that's about it. We detect SSO |
| // by checking that c_str() points inside |string|. |
| const uint8_t* cstr = reinterpret_cast<const uint8_t*>(string.c_str()); |
| const uint8_t* inline_cstr = reinterpret_cast<const uint8_t*>(&string); |
| if (cstr >= inline_cstr && cstr < inline_cstr + sizeof(string)) { |
| // SSO string |
| return 0; |
| } |
| return (string.capacity() + 1) * sizeof(value_type); |
| } |
| |
| // Use explicit instantiations from the .cc file (reduces bloat). |
| extern template BASE_EXPORT size_t EstimateMemoryUsage(const std::string&); |
| extern template BASE_EXPORT size_t EstimateMemoryUsage(const string16&); |
| |
| // Arrays |
| |
| template <class T, size_t N> |
| size_t EstimateMemoryUsage(const std::array<T, N>& array) { |
| return EstimateIterableMemoryUsage(array); |
| } |
| |
| template <class T, size_t N> |
| size_t EstimateMemoryUsage(T (&array)[N]) { |
| return EstimateIterableMemoryUsage(array); |
| } |
| |
| template <class T> |
| size_t EstimateMemoryUsage(const T* array, size_t array_length) { |
| size_t memory_usage = sizeof(T) * array_length; |
| for (size_t i = 0; i != array_length; ++i) { |
| memory_usage += EstimateItemMemoryUsage(array[i]); |
| } |
| return memory_usage; |
| } |
| |
| // std::unique_ptr |
| |
| template <class T, class D> |
| size_t EstimateMemoryUsage(const std::unique_ptr<T, D>& ptr) { |
| return ptr ? (sizeof(T) + EstimateItemMemoryUsage(*ptr)) : 0; |
| } |
| |
| template <class T, class D> |
| size_t EstimateMemoryUsage(const std::unique_ptr<T[], D>& array, |
| size_t array_length) { |
| return EstimateMemoryUsage(array.get(), array_length); |
| } |
| |
| // std::shared_ptr |
| |
| template <class T> |
| size_t EstimateMemoryUsage(const std::shared_ptr<T>& ptr) { |
| auto use_count = ptr.use_count(); |
| if (use_count == 0) { |
| return 0; |
| } |
| // Model shared_ptr after libc++, |
| // see __shared_ptr_pointer from include/memory |
| struct SharedPointer { |
| void* vtbl; |
| long shared_owners; |
| long shared_weak_owners; |
| T* value; |
| }; |
| // If object of size S shared N > S times we prefer to (potentially) |
| // overestimate than to return 0. |
| return sizeof(SharedPointer) + |
| (EstimateItemMemoryUsage(*ptr) + (use_count - 1)) / use_count; |
| } |
| |
| // std::pair |
| |
| template <class F, class S> |
| size_t EstimateMemoryUsage(const std::pair<F, S>& pair) { |
| return EstimateItemMemoryUsage(pair.first) + |
| EstimateItemMemoryUsage(pair.second); |
| } |
| |
| // std::vector |
| |
| template <class T, class A> |
| size_t EstimateMemoryUsage(const std::vector<T, A>& vector) { |
| return sizeof(T) * vector.capacity() + EstimateIterableMemoryUsage(vector); |
| } |
| |
| // std::list |
| |
| template <class T, class A> |
| size_t EstimateMemoryUsage(const std::list<T, A>& list) { |
| using value_type = typename std::list<T, A>::value_type; |
| struct Node { |
| Node* prev; |
| Node* next; |
| value_type value; |
| }; |
| return sizeof(Node) * list.size() + |
| EstimateIterableMemoryUsage(list); |
| } |
| |
| template <class T> |
| size_t EstimateMemoryUsage(const base::LinkedList<T>& list) { |
| size_t memory_usage = 0u; |
| for (base::LinkNode<T>* node = list.head(); node != list.end(); |
| node = node->next()) { |
| // Since we increment by calling node = node->next() we know that node |
| // isn't nullptr. |
| memory_usage += EstimateMemoryUsage(*node->value()) + sizeof(T); |
| } |
| return memory_usage; |
| } |
| |
| // Tree containers |
| |
| template <class V> |
| size_t EstimateTreeMemoryUsage(size_t size) { |
| // Tree containers are modeled after libc++ |
| // (__tree_node from include/__tree) |
| struct Node { |
| Node* left; |
| Node* right; |
| Node* parent; |
| bool is_black; |
| V value; |
| }; |
| return sizeof(Node) * size; |
| } |
| |
| template <class T, class C, class A> |
| size_t EstimateMemoryUsage(const std::set<T, C, A>& set) { |
| using value_type = typename std::set<T, C, A>::value_type; |
| return EstimateTreeMemoryUsage<value_type>(set.size()) + |
| EstimateIterableMemoryUsage(set); |
| } |
| |
| template <class T, class C, class A> |
| size_t EstimateMemoryUsage(const std::multiset<T, C, A>& set) { |
| using value_type = typename std::multiset<T, C, A>::value_type; |
| return EstimateTreeMemoryUsage<value_type>(set.size()) + |
| EstimateIterableMemoryUsage(set); |
| } |
| |
| template <class K, class V, class C, class A> |
| size_t EstimateMemoryUsage(const std::map<K, V, C, A>& map) { |
| using value_type = typename std::map<K, V, C, A>::value_type; |
| return EstimateTreeMemoryUsage<value_type>(map.size()) + |
| EstimateIterableMemoryUsage(map); |
| } |
| |
| template <class K, class V, class C, class A> |
| size_t EstimateMemoryUsage(const std::multimap<K, V, C, A>& map) { |
| using value_type = typename std::multimap<K, V, C, A>::value_type; |
| return EstimateTreeMemoryUsage<value_type>(map.size()) + |
| EstimateIterableMemoryUsage(map); |
| } |
| |
| // HashMap containers |
| |
| namespace internal { |
| |
| // While hashtable containers model doesn't depend on STL implementation, one |
| // detail still crept in: bucket_count. It's used in size estimation, but its |
| // value after inserting N items is not predictable. |
| // This function is specialized by unittests to return constant value, thus |
| // excluding bucket_count from testing. |
| template <class V> |
| size_t HashMapBucketCountForTesting(size_t bucket_count) { |
| return bucket_count; |
| } |
| |
| template <class MruCacheType> |
| size_t DoEstimateMemoryUsageForMruCache(const MruCacheType& mru_cache) { |
| return EstimateMemoryUsage(mru_cache.ordering_) + |
| EstimateMemoryUsage(mru_cache.index_); |
| } |
| |
| } // namespace internal |
| |
| template <class V> |
| size_t EstimateHashMapMemoryUsage(size_t bucket_count, size_t size) { |
| // Hashtable containers are modeled after libc++ |
| // (__hash_node from include/__hash_table) |
| struct Node { |
| void* next; |
| size_t hash; |
| V value; |
| }; |
| using Bucket = void*; |
| bucket_count = internal::HashMapBucketCountForTesting<V>(bucket_count); |
| return sizeof(Bucket) * bucket_count + sizeof(Node) * size; |
| } |
| |
| template <class K, class H, class KE, class A> |
| size_t EstimateMemoryUsage(const std::unordered_set<K, H, KE, A>& set) { |
| using value_type = typename std::unordered_set<K, H, KE, A>::value_type; |
| return EstimateHashMapMemoryUsage<value_type>(set.bucket_count(), |
| set.size()) + |
| EstimateIterableMemoryUsage(set); |
| } |
| |
| template <class K, class H, class KE, class A> |
| size_t EstimateMemoryUsage(const std::unordered_multiset<K, H, KE, A>& set) { |
| using value_type = typename std::unordered_multiset<K, H, KE, A>::value_type; |
| return EstimateHashMapMemoryUsage<value_type>(set.bucket_count(), |
| set.size()) + |
| EstimateIterableMemoryUsage(set); |
| } |
| |
| template <class K, class V, class H, class KE, class A> |
| size_t EstimateMemoryUsage(const std::unordered_map<K, V, H, KE, A>& map) { |
| using value_type = typename std::unordered_map<K, V, H, KE, A>::value_type; |
| return EstimateHashMapMemoryUsage<value_type>(map.bucket_count(), |
| map.size()) + |
| EstimateIterableMemoryUsage(map); |
| } |
| |
| template <class K, class V, class H, class KE, class A> |
| size_t EstimateMemoryUsage(const std::unordered_multimap<K, V, H, KE, A>& map) { |
| using value_type = |
| typename std::unordered_multimap<K, V, H, KE, A>::value_type; |
| return EstimateHashMapMemoryUsage<value_type>(map.bucket_count(), |
| map.size()) + |
| EstimateIterableMemoryUsage(map); |
| } |
| |
| // std::deque |
| |
| template <class T, class A> |
| size_t EstimateMemoryUsage(const std::deque<T, A>& deque) { |
| // Since std::deque implementations are wildly different |
| // (see crbug.com/674287), we can't have one "good enough" |
| // way to estimate. |
| |
| // kBlockSize - minimum size of a block, in bytes |
| // kMinBlockLength - number of elements in a block |
| // if sizeof(T) > kBlockSize |
| #if defined(_LIBCPP_VERSION) |
| size_t kBlockSize = 4096; |
| size_t kMinBlockLength = 16; |
| #elif defined(__GLIBCXX__) |
| size_t kBlockSize = 512; |
| size_t kMinBlockLength = 1; |
| #elif defined(_MSC_VER) |
| size_t kBlockSize = 16; |
| size_t kMinBlockLength = 1; |
| #else |
| size_t kBlockSize = 0; |
| size_t kMinBlockLength = 1; |
| #endif |
| |
| size_t block_length = |
| (sizeof(T) > kBlockSize) ? kMinBlockLength : kBlockSize / sizeof(T); |
| |
| size_t blocks = (deque.size() + block_length - 1) / block_length; |
| |
| #if defined(__GLIBCXX__) |
| // libstdc++: deque always has at least one block |
| if (!blocks) |
| blocks = 1; |
| #endif |
| |
| #if defined(_LIBCPP_VERSION) |
| // libc++: deque keeps at most two blocks when it shrinks, |
| // so even if the size is zero, deque might be holding up |
| // to 4096 * 2 bytes. One way to know whether deque has |
| // ever allocated (and hence has 1 or 2 blocks) is to check |
| // iterator's pointer. Non-zero value means that deque has |
| // at least one block. |
| if (!blocks && deque.begin().operator->()) |
| blocks = 1; |
| #endif |
| |
| return (blocks * block_length * sizeof(T)) + |
| EstimateIterableMemoryUsage(deque); |
| } |
| |
| // Container adapters |
| |
| template <class T, class C> |
| size_t EstimateMemoryUsage(const std::queue<T, C>& queue) { |
| return EstimateMemoryUsage(GetUnderlyingContainer(queue)); |
| } |
| |
| template <class T, class C> |
| size_t EstimateMemoryUsage(const std::priority_queue<T, C>& queue) { |
| return EstimateMemoryUsage(GetUnderlyingContainer(queue)); |
| } |
| |
| template <class T, class C> |
| size_t EstimateMemoryUsage(const std::stack<T, C>& stack) { |
| return EstimateMemoryUsage(GetUnderlyingContainer(stack)); |
| } |
| |
| // base::circular_deque |
| |
| template <class T> |
| size_t EstimateMemoryUsage(const base::circular_deque<T>& deque) { |
| return sizeof(T) * deque.capacity() + EstimateIterableMemoryUsage(deque); |
| } |
| |
| // Flat containers |
| |
| template <class T, class C> |
| size_t EstimateMemoryUsage(const base::flat_set<T, C>& set) { |
| using value_type = typename base::flat_set<T, C>::value_type; |
| return sizeof(value_type) * set.capacity() + EstimateIterableMemoryUsage(set); |
| } |
| |
| template <class K, class V, class C> |
| size_t EstimateMemoryUsage(const base::flat_map<K, V, C>& map) { |
| using value_type = typename base::flat_map<K, V, C>::value_type; |
| return sizeof(value_type) * map.capacity() + EstimateIterableMemoryUsage(map); |
| } |
| |
| template <class Key, |
| class Payload, |
| class HashOrComp, |
| template <typename, typename, typename> class Map> |
| size_t EstimateMemoryUsage( |
| const MRUCacheBase<Key, Payload, HashOrComp, Map>& mru_cache) { |
| return internal::DoEstimateMemoryUsageForMruCache(mru_cache); |
| } |
| |
| } // namespace trace_event |
| } // namespace base |
| |
| #endif // BASE_TRACE_EVENT_MEMORY_USAGE_ESTIMATOR_H_ |