/* 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 "paddle/platform/enforce.h" #include "paddle/platform/place.h" #ifndef PADDLE_ONLY_CPU #include "paddle/platform/dynload/cublas.h" #include "paddle/platform/dynload/cudnn.h" #include "paddle/platform/dynload/curand.h" #include "paddle/platform/gpu_info.h" #define EIGEN_USE_GPU #endif #include #include "paddle/platform/place.h" #include "unsupported/Eigen/CXX11/Tensor" namespace paddle { namespace platform { class DeviceContext { public: virtual ~DeviceContext() {} virtual Place place() const = 0; template DeviceType* get_eigen_device() const; }; class CPUDeviceContext : public DeviceContext { public: CPUDeviceContext(); CPUDeviceContext(CPUPlace); virtual ~CPUDeviceContext() {} Eigen::DefaultDevice* eigen_device() const; Place place() const override; private: std::unique_ptr eigen_device_; }; #ifndef PADDLE_ONLY_CPU class CUDADeviceContext : public DeviceContext { public: explicit CUDADeviceContext(GPUPlace); virtual ~CUDADeviceContext(); /*! \brief Wait for all operations completion in the stream. */ void wait() const; /*! \brief Return CUDA stream in the device context. */ cudaStream_t stream() const; /*! \brief Return place in the device context. */ Place place() const override; /*! \brief Return eigen device in the device context. */ Eigen::GpuDevice* eigen_device() const; // clang-format off /*! \brief Return cublas handle in the device context. */ cublasHandle_t cublas_handle (); /*! \brief Return cudnn handle in the device context. */ cudnnHandle_t cudnn_handle (); /*! \brief Return curand handle in the device context. */ curandGenerator_t curand_generator(); // clang-format on private: GPUPlace place_; private: std::unique_ptr eigen_device_; std::unique_ptr eigen_stream_; private: uint64_t seed_; cudaStream_t stream_; // clang-format off cudnnHandle_t cudnn_handle_ = nullptr; cublasHandle_t cublas_handle_ = nullptr; curandGenerator_t curand_generator_ = nullptr; // clang-format on }; #endif } // namespace platform } // namespace paddle