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98 lines
2.6 KiB
98 lines
2.6 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#pragma once
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#include "paddle/platform/enforce.h"
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#include "paddle/platform/place.h"
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#ifndef PADDLE_ONLY_CPU
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#include "paddle/platform/dynload/cublas.h"
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#include "paddle/platform/dynload/cudnn.h"
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#include "paddle/platform/gpu_info.h"
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#define EIGEN_USE_GPU
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#endif
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#include <memory>
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#include "paddle/platform/place.h"
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#include "unsupported/Eigen/CXX11/Tensor"
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namespace paddle {
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namespace platform {
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class DeviceContext {
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public:
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virtual ~DeviceContext() {}
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virtual Place GetPlace() const = 0;
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template <typename DeviceType>
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DeviceType* get_eigen_device() const;
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};
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class CPUDeviceContext : public DeviceContext {
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public:
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CPUDeviceContext();
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explicit CPUDeviceContext(CPUPlace place);
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virtual ~CPUDeviceContext() {}
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Eigen::DefaultDevice* eigen_device() const;
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Place GetPlace() const override;
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private:
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std::unique_ptr<Eigen::DefaultDevice> eigen_device_;
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};
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#ifndef PADDLE_ONLY_CPU
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class EigenCudaStreamDevice;
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class CUDADeviceContext : public DeviceContext {
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public:
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explicit CUDADeviceContext(GPUPlace place);
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virtual ~CUDADeviceContext();
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/*! \brief Wait for all operations completion in the stream. */
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void Wait() const;
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/*! \brief Return place in the device context. */
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Place GetPlace() const override;
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/*! \brief Return eigen device in the device context. */
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Eigen::GpuDevice* eigen_device() const;
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// clang-format off
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/*! \brief Return cublas handle in the device context. */
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cublasHandle_t cublas_handle();
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/*! \brief Return cudnn handle in the device context. */
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cudnnHandle_t cudnn_handle();
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/*! \brief Return cuda stream in the device context. */
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cudaStream_t stream();
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// clang-format on
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private:
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GPUPlace place_;
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std::unique_ptr<Eigen::GpuDevice> eigen_device_;
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std::unique_ptr<EigenCudaStreamDevice> eigen_stream_;
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// clang-format off
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cudaStream_t stream_{nullptr};
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cudnnHandle_t cudnn_handle_{nullptr};
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cublasHandle_t cublas_handle_{nullptr};
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// clang-format on
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};
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#endif
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} // namespace platform
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} // namespace paddle
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