| /* Copyright 2015 The TensorFlow Authors. All Rights Reserved. |
| |
| Licensed under the Apache License, Version 2.0 (the "License"); |
| you may not use this file except in compliance with the License. |
| You may obtain a copy of the License at |
| |
| http://www.apache.org/licenses/LICENSE-2.0 |
| |
| Unless required by applicable law or agreed to in writing, software |
| distributed under the License is distributed on an "AS IS" BASIS, |
| WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| See the License for the specific language governing permissions and |
| limitations under the License. |
| ==============================================================================*/ |
| |
| #ifndef TENSORFLOW_CORE_FRAMEWORK_TYPE_INDEX_H_ |
| #define TENSORFLOW_CORE_FRAMEWORK_TYPE_INDEX_H_ |
| |
| #include <string> |
| #if defined(__GXX_RTTI) || defined(_CPPRTTI) |
| #include <typeindex> |
| #include <typeinfo> |
| #endif // __GXX_RTTI |
| |
| #include "tensorflow/core/platform/types.h" |
| |
| namespace tensorflow { |
| |
| // On some platforms, we would like to avoid using RTTI in order to have smaller |
| // binary sizes. The following #ifdef section provides a non-RTTI |
| // replacement for std::type_index (with a minimal set of functions needed by |
| // the TensorFlow framework, and more can be added if necessary). |
| #if !defined(__GXX_RTTI) && !defined(_CPPRTTI) |
| |
| // A thin TypeIndex class that mimics std::type_index but does not use RTTI. As |
| // a result, it does not provide the actual name of the type, and only returns a |
| // pre-baked string specifying that RTTI is disabled. |
| // The hash code provided in this class is unique for each class. However, it is |
| // generated at runtime so this hash code should not be serialized - the value |
| // for the same type can change from run to run. |
| class TypeIndex { |
| public: |
| TypeIndex(const TypeIndex& src) : hash_(src.hash_) {} |
| TypeIndex& operator=(const TypeIndex& src) { |
| hash_ = src.hash_; |
| return *this; |
| } |
| bool operator==(const TypeIndex& rhs) const { return (hash_ == rhs.hash_); } |
| bool operator!=(const TypeIndex& rhs) const { return (hash_ != rhs.hash_); } |
| ~TypeIndex() {} |
| |
| const char* name() const { return "[RTTI disabled for Android]"; } |
| uint64 hash_code() const { return hash_; } |
| |
| // Returns a TypeIndex object that corresponds to a typename. |
| template <typename T> |
| static TypeIndex Make() { |
| static bool hash_bit[1]; |
| return TypeIndex(static_cast<uint64>(reinterpret_cast<intptr_t>(hash_bit))); |
| } |
| |
| private: |
| // We hide the constructor of the TypeIndex class. Use the templated |
| // Make<T>() function to create a TypeIndex object. |
| TypeIndex(const uint64 hash) : hash_(hash) {} |
| uint64 hash_; |
| }; |
| |
| template <typename T> |
| inline TypeIndex MakeTypeIndex() { |
| return TypeIndex::Make<T>(); |
| } |
| |
| #else // __GXX_RTTI |
| |
| // In the presence of RTTI, we will simply delegate to std::type_index for |
| // runtime type inference. |
| typedef std::type_index TypeIndex; |
| template <typename T> |
| inline TypeIndex MakeTypeIndex() { |
| return TypeIndex(typeid(T)); |
| } |
| |
| #endif // __GXX_RTTI |
| } // namespace tensorflow |
| |
| #endif // TENSORFLOW_CORE_FRAMEWORK_TYPE_INDEX_H_ |