/* Copyright (c) 2016 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 namespace paddle { namespace platform { #define CUDA_ATOMIC_WRAPPER(op, T) \ __device__ __forceinline__ T CudaAtomic##op(T* address, const T val) #define USE_CUDA_ATOMIC(op, T) \ CUDA_ATOMIC_WRAPPER(op, T) { return atomic##op(address, val); } // Default thread count per block(or block size). // TODO(typhoonzero): need to benchmark against setting this value // to 1024. constexpr int PADDLE_CUDA_NUM_THREADS = 512; // For atomicAdd. USE_CUDA_ATOMIC(Add, float); USE_CUDA_ATOMIC(Add, int); USE_CUDA_ATOMIC(Add, unsigned int); // CUDA API uses unsigned long long int, we cannot use uint64_t here. // It because unsigned long long int is not necessarily uint64_t USE_CUDA_ATOMIC(Add, unsigned long long int); // NOLINT CUDA_ATOMIC_WRAPPER(Add, int64_t) { // Here, we check long long int must be int64_t. static_assert(sizeof(int64_t) == sizeof(long long int), // NOLINT "long long should be int64"); return CudaAtomicAdd( reinterpret_cast(address), // NOLINT static_cast(val)); // NOLINT } #if defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 600 USE_CUDA_ATOMIC(Add, double); #else CUDA_ATOMIC_WRAPPER(Add, double) { unsigned long long int* address_as_ull = // NOLINT reinterpret_cast(address); // NOLINT unsigned long long int old = *address_as_ull, assumed; // NOLINT do { assumed = old; old = atomicCAS(address_as_ull, assumed, __double_as_longlong(val + __longlong_as_double(assumed))); // Note: uses integer comparison to avoid hang in case of NaN } while (assumed != old); return __longlong_as_double(old); } #endif } // namespace platform } // namespace paddle