/* Copyright (c) 2022 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/phi/api/include/context_pool.h" #include "paddle/phi/backends/all_context.h" #include "paddle/phi/core/enforce.h" namespace paddle { namespace experimental { DeviceContextPool& DeviceContextPool::Instance() { static DeviceContextPool g_device_context_pool; return g_device_context_pool; } const phi::DeviceContext* DeviceContextPool::Get(const Place& place) const { auto it = context_map_.find(place); PADDLE_ENFORCE_NE( it, context_map_.end(), phi::errors::NotFound("The DeviceContext of %s does not exists.", place)); return it->second; } phi::DeviceContext* DeviceContextPool::GetMutable(const Place& place) { return const_cast(Get(place)); } DeviceContextPool::DeviceContextPool() { // We need to make sure that the correct value exists // whenever we get the DeviceContext from DeviceContextPool const auto& device_contexts = paddle::platform::DeviceContextPool::Instance().device_contexts(); for (const auto& pair : device_contexts) { // only get CPU and GPU DeviceContext now, add other DeviceContext type // later if needed if (platform::is_cpu_place(pair.first) #if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP) || platform::is_gpu_place(pair.first)) { #else ) { #endif const phi::DeviceContext* dev_ctx = pair.second.get().get(); VLOG(3) << "Init phi DeviceContextPool: insert {" << pair.first << ", " << dev_ctx << "}"; context_map_[pair.first] = dev_ctx; } } } } // namespace experimental } // namespace paddle