forked from huawei/mindspore2022
81 lines
2.5 KiB
C++
81 lines
2.5 KiB
C++
/**
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* Copyright 2019 Huawei Technologies Co., Ltd
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*
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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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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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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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*/
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#ifndef MINDSPORE_CCSRC_DEVICE_GPU_GPU_DEVICE_MANAGER_H_
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#define MINDSPORE_CCSRC_DEVICE_GPU_GPU_DEVICE_MANAGER_H_
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#include <cudnn.h>
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#include <cublas_v2.h>
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#include <vector>
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#include <memory>
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#include "device/gpu/cuda_driver.h"
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#include "device/gpu/gpu_memory_allocator.h"
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namespace mindspore {
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namespace device {
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namespace gpu {
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class GPUDeviceManager {
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public:
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void InitDevice();
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void ReleaseDevice();
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int device_count() const;
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bool set_cur_device_id(uint32_t device_id);
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uint32_t cur_device_id() const;
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bool is_device_id_init() const;
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bool CreateStream(DeviceStream* stream);
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bool SyncStream(const DeviceStream& stream) const;
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const DeviceStream& default_stream() const;
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const cudnnHandle_t& GetCudnnHandle() const;
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const cublasHandle_t& GetCublasHandle() const;
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bool CopyDeviceMemToHost(const HostMemPtr& dst, const DeviceMemPtr& src, size_t size) const;
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bool CopyHostMemToDevice(const DeviceMemPtr& dst, const void* src, size_t size) const;
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static GPUDeviceManager& GetInstance() {
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static GPUDeviceManager instance;
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return instance;
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}
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private:
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GPUDeviceManager() : dev_id_init_(false), cur_dev_id_(0) {}
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~GPUDeviceManager() = default;
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GPUDeviceManager(const GPUDeviceManager&) = delete;
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GPUDeviceManager& operator=(const GPUDeviceManager&) = delete;
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// default CUDA stream used for all the kernels.
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DeviceStream default_stream_{nullptr};
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// all gpu CUDA streams including default_stream_.
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std::vector<DeviceStream> gpu_streams_;
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// handle used for cuDNN kernels.
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cudnnHandle_t cudnn_handle_{nullptr};
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// handle used for cuBLAS kernels.
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cublasHandle_t cublas_handle_{nullptr};
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bool dev_id_init_;
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uint32_t cur_dev_id_;
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};
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} // namespace gpu
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} // namespace device
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} // namespace mindspore
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#endif // MINDSPORE_CCSRC_DEVICE_GPU_GPU_DEVICE_MANAGER_H_
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