forked from huawei/mindspore2022
137 lines
5.5 KiB
C++
137 lines
5.5 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_KERNEL_RUNTIME_H_
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#define MINDSPORE_CCSRC_DEVICE_KERNEL_RUNTIME_H_
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#include <vector>
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#include <memory>
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#include <string>
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#include <map>
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#include "pre_activate/mem_reuse/mem_reuse.h"
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#include "pre_activate/mem_reuse/mem_reuse_allocator.h"
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#include "device/device_address.h"
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#include "ir/meta_tensor.h"
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#include "predict/generator/utils/ir_model_util.h"
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#ifdef ENABLE_DUMP_E2E
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#include "debug/e2e_dump.h"
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#endif
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#include "session/kernel_graph.h"
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#include "session/anf_runtime_algorithm.h"
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#include "kernel/kernel.h"
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#include "utils/context/ms_context.h"
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// using mindspore::session::KernelGraph;
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using mindspore::tensor::Tensor;
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using TensorPtr = std::shared_ptr<Tensor>;
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using MemReuseUtilPtr = mindspore::memreuse::MemReuseUtilPtr;
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using mindspore::kernel::AddressPtr;
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using AddressPtrList = std::vector<mindspore::kernel::AddressPtr>;
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namespace mindspore {
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namespace device {
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const int kStaticMem = 0;
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const int kDynamicMem = 1;
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const int kReuseDynamicMem = 2;
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const int kGetAllOuts = -1;
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class KernelRuntime {
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public:
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KernelRuntime() = default;
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virtual ~KernelRuntime();
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virtual bool Init() = 0;
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virtual void AssignMemory(session::KernelGraph *graph);
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void RunOpAssignMemory(const std::vector<tensor::TensorPtr> &input_tensors, const session::KernelGraph *graph);
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virtual bool Run(session::KernelGraph *graph);
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virtual bool DumpData(session::KernelGraph *graph);
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virtual bool RunTask(const session::KernelGraph *graph);
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virtual bool GenTask(const session::KernelGraph *graph);
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bool LaunchKernel(const session::KernelGraph *graph);
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virtual void AssignStaticMemoryInput(const session::KernelGraph *graph);
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#ifdef ENABLE_DUMP_E2E
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DumpConfPtr GetDumpConf();
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#endif
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virtual bool LoadTask(const session::KernelGraph *graph);
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virtual void FreeHostMemory();
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// for GPU and D to impl
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virtual void ReleaseDeviceRes() {}
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void set_device_id(uint32_t device_id) { device_id_ = device_id; }
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protected:
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virtual DeviceAddressPtr CreateDeviceAddress(void *device_ptr, size_t device_size, const string &format,
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TypeId type_id) = 0;
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virtual bool SyncStream() = 0;
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void AssignStaticMemory(session::KernelGraph *graph);
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void AssignDynamicMemory(const session::KernelGraph *graph);
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void ReuseAssignDynamicMemory(session::KernelGraph *graph);
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void AssignNodeOutputMem(int flag, const AnfNodePtr &node, int index);
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void AssignWorkSpaceMem(const AnfNodePtr &node);
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void AssignReuseWorkSpaceMem(const AnfNodePtr &node);
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void AssignCommunicationNodeOutputMem(int flag, const AnfNodePtr &node);
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void UpdateRefNodeOutputMem(const session::KernelGraph *graph);
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void UpdateCommunicationOpInputMem(const AnfNodePtr &node);
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bool IsCommunicationOp(const AnfNodePtr &node);
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size_t GetCommonAlignSize(size_t input_size) const;
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size_t GetCommunicationAlignSize(size_t input_size) const;
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uint8_t *CalDeviceMem(const AnfNodePtr &node, size_t size, int flag, size_t index);
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virtual uint8_t *MallocStaticMem(size_t size, bool communication_mem);
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uint8_t *MallocDynamicMem(size_t size, bool communication_mem);
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#ifdef ENABLE_DUMP_E2E
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bool SetDumpConf();
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#endif
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// Alloc memory use the dynamic memory pool.
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virtual void *AllocTensorMemDynamic(size_t size);
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// Free memory use the dynamic memory pool.
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virtual void FreeTensorMemDynamic(void *device_ptr);
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virtual void MallocOpMemory(const DeviceAddressPtr address, size_t size, int flag);
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private:
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void AssignStaticMemoryOutput(const session::KernelGraph *graph);
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void AssignStaticMemoryValueNode(session::KernelGraph *graph);
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void GenLaunchArgs(const mindspore::kernel::KernelMod &kernel_mod, const AnfNodePtr &kernel,
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AddressPtrList *kernel_inputs, AddressPtrList *kernel_workspaces, AddressPtrList *kernel_outputs);
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bool LaunchKernelMod(const session::KernelGraph &graph);
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void GenAddrCleanLaunchArgs(const CNodePtr &cnode, AddressPtrList *kernel_inputs);
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size_t CountNodeDeviceMemorySize(const AnfNodePtr &node, size_t output_index);
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void RunOpAssignInputMemory(const std::vector<tensor::TensorPtr> &input_tensors, const session::KernelGraph *graph);
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void RunOpAssignOutputMemory(const AnfNodePtr &kernel);
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void RunOpAssignWorkSpaceMemory(const AnfNodePtr &kernel);
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void AssignValueNodeTensor(const ValueNodePtr &value_node, const ValuePtr &node_value, size_t output_idx);
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protected:
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uint32_t device_id_{0};
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uint8_t *device_mem_base_{nullptr};
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uint8_t *device_mem_pool_base_{nullptr};
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uint64_t device_mem_size_{0};
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uint64_t device_mem_pool_size_{0};
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uint64_t dynamic_mem_offset_{0};
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uint64_t static_mem_offset_{0};
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const uint64_t mem_align_size_ = 512;
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#ifdef ENABLE_DUMP_E2E
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DumpConfPtr dump_conf_ptr_;
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#endif
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void *stream_ = nullptr;
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size_t total_static_size_ = 0;
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size_t total_dynamic_size_ = 0;
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MemReuseUtilPtr mem_reuse_util_ptr_{nullptr};
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};
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using KernelRuntimePtr = std::shared_ptr<KernelRuntime>;
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} // namespace device
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} // namespace mindspore
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#endif // MINDSPORE_CCSRC_DEVICE_KERNEL_RUNTIME_H_
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