/* 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 #include // NOLINT #include #include #include #ifdef PADDLE_WITH_CUDA #include "paddle/fluid/platform/dynload/cublas.h" #include "paddle/fluid/platform/dynload/cudnn.h" #include "paddle/fluid/platform/gpu_info.h" #define EIGEN_USE_GPU #endif #ifdef PADDLE_WITH_MKLDNN #include #endif #include #include "glog/logging.h" #include "paddle/fluid/platform/enforce.h" #include "paddle/fluid/platform/place.h" #ifdef PADDLE_WITH_CUDA #include "paddle/fluid/platform/stream_callback_manager.h" #endif #include "unsupported/Eigen/CXX11/Tensor" DECLARE_bool(clear_gpu_memory_when_unused); 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 compute capability in the device context. */ int GetComputeCapability() const; /*! \brief Return the max physical thread count in the device context */ int GetMaxPhysicalThreadCount() const; /*! \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; template void RecordEvent(cudaEvent_t ev, Callback callback) { std::lock_guard guard(mtx_); callback(); PADDLE_ENFORCE(cudaEventRecord(ev, stream_)); } template void AddStreamCallback(Callback&& callback) const { std::lock_guard guard(callback_mtx_); callback_manager_->AddCallback(callback); } void WaitStreamCallback() const { std::lock_guard guard(callback_mtx_); callback_manager_->Wait(); } private: CUDAPlace place_; std::unique_ptr eigen_device_; std::unique_ptr eigen_stream_; cudaStream_t stream_; cudnnHandle_t cudnn_handle_; cublasHandle_t cublas_handle_; int compute_capability; int multi_process; int max_threads_per_mp; mutable std::mutex mtx_; // This lock is only used by callback // If we use mtx_ for StreamCallbackManager, deadlock may occur sometimes mutable std::mutex callback_mtx_; std::unique_ptr callback_manager_; }; template <> struct DefaultDeviceContextType { using TYPE = CUDADeviceContext; }; // Currently, CUDAPinnedDeviceContext is only used to data copying. class CUDAPinnedDeviceContext : public DeviceContext { public: CUDAPinnedDeviceContext(); explicit CUDAPinnedDeviceContext(CUDAPinnedPlace place); Place GetPlace() const override; Eigen::DefaultDevice* eigen_device() const; private: CUDAPinnedPlace place_; std::unique_ptr eigen_device_; }; template <> struct DefaultDeviceContextType { using TYPE = CUDAPinnedDeviceContext; }; #endif #ifdef PADDLE_WITH_MKLDNN class MKLDNNDeviceContext : public CPUDeviceContext { public: explicit MKLDNNDeviceContext(CPUPlace place); /* \brief Get the active engine */ const mkldnn::engine& GetEngine() const { return engine_; } // Set data to blob (i.e. name/data pair). Create blob if not existing void SetBlob(const std::string& name, std::shared_ptr data) const; // Find a saved blob. Return nullptr if not found std::shared_ptr GetBlob(const std::string& name) const; private: mkldnn::engine engine_; std::shared_ptr>> p_blobs_; }; #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. */ 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)); } size_t size() const { return device_contexts_.size(); } private: static DeviceContextPool* pool; std::map> device_contexts_; DISABLE_COPY_AND_ASSIGN(DeviceContextPool); }; } // namespace platform } // namespace paddle