/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. 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 #include #ifdef PADDLE_WITH_CUDA #include "paddle/platform/dynload/cublas.h" #include "paddle/platform/dynload/cudnn.h" #include "paddle/platform/gpu_info.h" #define EIGEN_USE_GPU #endif #include "paddle/platform/enforce.h" #include "paddle/platform/place.h" #include "unsupported/Eigen/CXX11/Tensor" #include "glog/logging.h" namespace paddle { namespace platform { class DeviceContext { public: virtual ~DeviceContext() {} virtual Place GetPlace() const = 0; virtual void Wait() const {} }; class CPUDeviceContext : public DeviceContext { public: CPUDeviceContext(); explicit CPUDeviceContext(CPUPlace place); Eigen::DefaultDevice* eigen_device() const; Place GetPlace() const override; private: CPUPlace place_; std::unique_ptr eigen_device_; }; template struct DefaultDeviceContextType; template <> struct DefaultDeviceContextType { using TYPE = CPUDeviceContext; }; #ifdef PADDLE_WITH_CUDA class EigenCudaStreamDevice; class CUDADeviceContext : public DeviceContext { public: explicit CUDADeviceContext(CUDAPlace place); virtual ~CUDADeviceContext(); /*! \brief Wait for all operations completion in the stream. */ void Wait() const override; /*! \brief Return place in the device context. */ Place GetPlace() const override; /*! \brief Return eigen device in the device context. */ Eigen::GpuDevice* eigen_device() const; /*! \brief Return cublas handle in the device context. */ cublasHandle_t cublas_handle() const; /*! \brief Return cudnn handle in the device context. */ cudnnHandle_t cudnn_handle() const; /*! \brief Return cuda stream in the device context. */ cudaStream_t stream() const; private: CUDAPlace place_; std::unique_ptr eigen_device_; std::unique_ptr eigen_stream_; cudaStream_t stream_; cudnnHandle_t cudnn_handle_; cublasHandle_t cublas_handle_; }; template <> struct DefaultDeviceContextType { using TYPE = CUDADeviceContext; }; #endif /*! \brief device context pool singleton */ class DeviceContextPool { public: explicit DeviceContextPool(const std::vector& places); static DeviceContextPool& Instance() { PADDLE_ENFORCE_NOT_NULL(pool, "Need to Create DeviceContextPool first!"); return *pool; } /*! \brief Create should only called by Init function */ static DeviceContextPool& Init(const std::vector& places) { if (pool == nullptr) { pool = new DeviceContextPool(places); } return *pool; } /*! \brief Return handle of single device context. */ const platform::DeviceContext* Get(const platform::Place& place); template const typename DefaultDeviceContextType::TYPE* GetByPlace( const Place& place) { return reinterpret_cast< const typename DefaultDeviceContextType::TYPE*>(Get(place)); } private: static DeviceContextPool* pool; constexpr static int LEFT_SHIFT = 8; struct Hash { std::hash hash_; size_t operator()(const platform::Place& place) const { int pre_hash = place.which() << LEFT_SHIFT; if (platform::is_gpu_place(place)) { pre_hash += boost::get(place).GetDeviceId(); } return hash_(pre_hash); } }; std::unordered_map device_contexts_; DISABLE_COPY_AND_ASSIGN(DeviceContextPool); }; } // namespace platform } // namespace paddle