// Copyright (c) 2018 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. #include "paddle/fluid/memory/allocation/cuda_allocator.h" #include #include #include #include "paddle/fluid/platform/gpu_info.h" namespace paddle { namespace memory { namespace allocation { class CUDADeviceGuard { public: explicit CUDADeviceGuard(int dev_id) { int prev_id = platform::GetCurrentDeviceId(); if (prev_id != dev_id) { prev_id_ = prev_id; platform::SetDeviceId(dev_id); } } ~CUDADeviceGuard() { if (prev_id_ != -1) { platform::SetDeviceId(prev_id_); } } private: int prev_id_{-1}; }; std::unique_ptr CUDAAllocator::Allocate(size_t size, Attr attr) { CUDADeviceGuard guard(place_.device); void* ptr; auto status = cudaMalloc(&ptr, size); if (UNLIKELY(status != cudaSuccess)) { throw BadAlloc(string::Sprintf( "Cannot allocate %d on GPU %d, cuda status %d, %s", size, place_.device, status, cudaGetErrorString(status))); } return std::unique_ptr( new CUDAAllocation(ptr, size, platform::Place(place_))); } void CUDAAllocator::Free(Allocation* allocation) { auto* cuda_allocation = dynamic_cast(allocation); PADDLE_ENFORCE_NOT_NULL(cuda_allocation); PADDLE_ENFORCE_EQ(boost::get(cuda_allocation->place()), place_); PADDLE_ENFORCE(cudaFree(allocation->ptr())); } bool CUDAAllocator::IsAllocThreadSafe() const { return true; } } // namespace allocation } // namespace memory } // namespace paddle