// Copyright (c) 2023 PaddlePaddle 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. #pragma once #include #if defined(_M_X64) || defined(__x86_64__) || defined(_M_IX86) || \ defined(__i386__) #define __PADDLE_x86__ #include #endif #include #include namespace ir { static inline void CpuRelax() { #if defined(__PADDLE_x86__) _mm_pause(); #endif } class SpinLock { public: SpinLock() : mlock_(false) {} void lock() { for (;;) { if (!mlock_.exchange(true, std::memory_order_acquire)) { break; } constexpr int kMaxLoop = 32; for (int loop = 1; mlock_.load(std::memory_order_relaxed);) { if (loop <= kMaxLoop) { for (int i = 1; i <= loop; ++i) { CpuRelax(); } loop *= 2; } else { std::this_thread::yield(); } } } } void unlock() { mlock_.store(false, std::memory_order_release); } private: SpinLock(const SpinLock&) = delete; SpinLock(SpinLock&&) = delete; SpinLock& operator=(const SpinLock&) = delete; SpinLock& operator=(SpinLock&&) = delete; std::atomic mlock_; }; } // namespace ir