forked from huawei/mindspore2022
73 lines
3.1 KiB
C++
73 lines
3.1 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_KERNEL_RUNTIME_H_
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#define MINDSPORE_CCSRC_DEVICE_GPU_GPU_KERNEL_RUNTIME_H_
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#include <string>
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#include <memory>
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#include <vector>
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#include <utility>
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#include <unordered_map>
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#include "device/kernel_runtime.h"
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#include "device/kernel_runtime_manager.h"
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namespace mindspore {
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namespace device {
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namespace gpu {
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class GPUKernelRuntime : public KernelRuntime {
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public:
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GPUKernelRuntime() = default;
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~GPUKernelRuntime() override = default;
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bool Init() override;
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void ReleaseDeviceRes() override;
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void AssignMemory(session::KernelGraph *graph) override;
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bool Run(session::KernelGraph *graph) override;
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protected:
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DeviceAddressPtr CreateDeviceAddress(void *device_ptr, size_t device_size, const string &format,
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TypeId type_id) override;
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bool SyncStream() override;
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private:
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GPUKernelRuntime(const GPUKernelRuntime &);
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GPUKernelRuntime &operator=(const GPUKernelRuntime &);
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bool InitDevice();
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bool device_init_{false};
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// The related functions and members for using dynamic memory pool.
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void InitKernelRefCount(const session::KernelGraph *graph);
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void InitKernelOutputAddress(const session::KernelGraph *graph);
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bool LaunchKernelDynamic(const session::KernelGraph *graph);
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void AllocKernelDynamicRes(const mindspore::kernel::KernelMod &kernel_mod, const mindspore::AnfNodePtr &kernel,
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AddressPtrList *kernel_inputs, AddressPtrList *kernel_workspaces,
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AddressPtrList *kernel_outputs);
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void AllocCommunicationOpDynamicRes(const session::KernelGraph *graph);
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void AllocCommunicationOpInputDynamicRes(const mindspore::AnfNodePtr &kernel);
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void AllocCommunicationOpOutputDynamicRes(const mindspore::AnfNodePtr &kernel);
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void AllocCommunicationOpMemory(bool is_need_alloc_memory, bool is_need_free_memory,
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const DeviceAddressPtrList addr_list, size_t total_size,
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std::vector<size_t> size_list);
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void FreeKernelDynamicRes(const mindspore::AnfNodePtr &kernel, const AddressPtrList &kernel_workspaces,
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uint32_t graph_id);
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std::unordered_map<uint32_t, MemReuseUtilPtr> mem_reuse_util_map_;
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};
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MS_REG_KERNEL_RUNTIME(kGPUDevice, GPUKernelRuntime);
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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_KERNEL_RUNTIME_H_
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