forked from huawei/mindspore2022
209 lines
10 KiB
C++
209 lines
10 KiB
C++
/**
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* Copyright 2019-2021 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_RUNTIME_DEVICE_KERNEL_RUNTIME_H_
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#define MINDSPORE_CCSRC_RUNTIME_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 <utility>
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#include <unordered_set>
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#include "runtime/device/device_address.h"
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#include "ir/tensor.h"
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#include "utils/convert_utils.h"
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#ifdef ENABLE_DEBUGGER
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#include "debug/debugger/debugger.h"
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#endif
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#include "backend/session/kernel_graph.h"
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#include "backend/session/anf_runtime_algorithm.h"
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#include "backend/kernel_compiler/kernel.h"
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#include "utils/ms_context.h"
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#include "runtime/device/memory_manager.h"
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#include "runtime/device/memory_scheduler.h"
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#include "runtime/device/executor/dynamic_kernel.h"
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#include "ir/device_event.h"
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using mindspore::tensor::Tensor;
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using std::vector;
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using TensorPtr = std::shared_ptr<Tensor>;
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using mindspore::kernel::AddressPtr;
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using mindspore::kernel::AddressPtrList;
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using mindspore::kernel::KernelLaunchInfo;
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namespace mindspore {
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#ifndef ENABLE_DEBUGGER
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class Debugger;
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#endif
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namespace device {
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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(const session::KernelGraph &graph);
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void RunOpAssignMemory(const std::vector<tensor::TensorPtr> &input_tensors, const session::KernelGraph &graph,
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const std::map<tensor::TensorPtr, session::KernelWithIndex> &tensor_to_node = {});
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void AssignCommunicationOutputFromMemoryPool(const AnfNodePtr &node) const;
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void AssignCommunicationInputFromMemoryPool(const AnfNodePtr &node) const;
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void RunOpClearMemory(const session::KernelGraph &graph) const;
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void RunOpMallocPre(const session::KernelGraph &graph, const std::vector<tensor::TensorPtr> &input_tensors);
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#ifdef ENABLE_DEBUGGER
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static bool DumpDataEnabled();
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static bool DumpDataEnabledIteration();
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#endif
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virtual bool LoadData(const session::KernelGraph &graph);
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virtual bool Load(const session::KernelGraph &graph, bool is_task_sink);
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virtual bool Run(const session::KernelGraph &graph, bool is_task_sink) = 0;
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virtual bool GenDynamicKernel(const session::KernelGraph &graph) = 0;
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virtual bool RunDynamicKernelAsync(const session::KernelGraph &graph) = 0;
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bool LaunchKernels(const session::KernelGraph &graph);
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virtual void AssignStaticMemoryInput(const session::KernelGraph &graph);
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virtual void AssignStaticMemoryValueNode(const session::KernelGraph &graph);
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virtual void ClearGraphRuntimeResource(uint32_t graph_id);
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virtual bool SyncStream() = 0;
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virtual bool MemcpyAsync(void *dst, const void *src, uint64_t size, int32_t kind) = 0;
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virtual void ClearGlobalIdleMem() {}
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virtual void CreateContext() {}
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virtual void SetContext() {}
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virtual const void *context() const { return nullptr; }
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uint8_t *MallocMem(MemType type, size_t size, const DeviceAddressPtr &address) {
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return mem_manager_->MallocMem(type, size, address);
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}
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uint8_t *MallocCommunicationMemFromMemPool(size_t size) {
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return mem_manager_->MallocCommunicationMemFromMemPool(size);
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}
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static void GenLaunchArgs(const mindspore::kernel::KernelMod &kernel_mod, const AnfNodePtr &kernel,
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KernelLaunchInfo *kernel_launch_info);
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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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uint32_t device_id() { return device_id_; }
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static bool UseMemScheduler();
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#ifdef ENABLE_DEBUGGER
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// set debugger
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void SetDebugger() {
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#if !defined(_WIN32) && !defined(_WIN64)
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debugger_ = Debugger::GetInstance();
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#endif
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}
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#endif
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#ifndef ENABLE_SECURITY
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virtual void PreInit() {}
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#endif
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virtual uint64_t GetAvailableMemMaxSize() const { return 0; }
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virtual void GenKernelEvents(const session::KernelGraph &graph);
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virtual std::shared_ptr<DeviceEvent> CreateDeviceEvent() { return nullptr; }
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virtual std::shared_ptr<DeviceEvent> CreateDeviceTimeEvent() { return nullptr; }
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virtual DeviceAddressType GetTargetDeviceAddressType() const = 0;
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virtual void *compute_stream() const { return nullptr; }
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virtual void *communication_stream() const { return nullptr; }
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void UpdateRefNodeOutputMem(const session::KernelGraph &graph);
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virtual DeviceAddressPtr AssignExtraStaticMem(const TensorPtr &tensor, const AnfNodePtr &node, size_t index);
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virtual void *GetModelStream(uint32_t graph_id) const { return nullptr; }
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// add for MindRT
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std::shared_ptr<MemoryManager> GetMemoryManager() { return mem_manager_; }
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void AssignStaticMemoryOutput(const session::KernelGraph &graph);
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void AssignDynamicMemory(const session::KernelGraph &graph);
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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) const = 0;
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virtual DeviceAddressPtr CreateDeviceAddress(void *device_ptr, size_t device_size, const string &format,
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TypeId type_id, const KernelWithIndex &node_index) const = 0;
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virtual bool NodeOutputDeviceAddressExist(const AnfNodePtr &node, size_t index);
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virtual bool KernelMemNotReuse(const AnfNodePtr &node);
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void AssignStaticMemory(const session::KernelGraph &graph);
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void AssignNodeOutputMem(MemType type, const AnfNodePtr &node, int index);
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void AssignWorkSpaceMem(MemType type, const AnfNodePtr &node);
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void AssignCommunicationNodeOutputMem(MemType type, const AnfNodePtr &node);
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void AssignCommunicationNodeInputMem(MemType type, const AnfNodePtr &node);
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void AssignCommunicationNodeMem(MemType type, const AnfNodePtr &node);
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bool LaunchKernelWithPynativeProfiling(kernel::KernelMod *kernel_mod, const std::string &op_name,
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const KernelLaunchInfo &kernel_launch_address, void *stream);
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virtual void KernelLaunchProfiling(const std::string &kernel_name) {}
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private:
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void UseMemSchedulerIfNeeded(const session::KernelGraph &graph);
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bool LaunchKernel(const session::KernelGraph &graph, const AnfNodePtr &kernel,
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const std::shared_ptr<MemScheduler> &mem_scheduler, bool mock = false);
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void ResetNodeAddress(const session::KernelGraph &graph);
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void AssignKernelAddress(const std::shared_ptr<MemScheduler> &mem_scheduler, const AnfNodePtr &kernel,
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KernelLaunchInfo *kernel_launch_address);
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static void GetOrMallocAddress(const std::shared_ptr<MemScheduler> &mem_scheduler,
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const DeviceAddress *device_address, const kernel::AddressPtr &kernel_addr);
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void InitGraphInputTensors(const std::shared_ptr<MemScheduler> &mem_scheduler, const session::KernelGraph &graph);
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void SyncNodeOutputTensors(const std::shared_ptr<MemScheduler> &mem_scheduler, const session::KernelGraph &graph,
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const AnfNodePtr &kernel, bool mock);
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void SyncNodeOutputTensor(const std::shared_ptr<MemScheduler> &mem_scheduler, const KernelWithIndex &output,
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const session::KernelGraph &graph, bool mock);
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void AssignCommunicationMem(const session::KernelGraph &graph);
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bool LaunchKernelMod(const session::KernelGraph &graph, bool mock = false);
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void LaunchKernelEvent(const std::map<AnfNodePtr, std::vector<std::function<void()>>> &run_events,
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const AnfNodePtr &node) const;
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void DebugStreamSync(const CNodePtr &kernel);
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static void GenAddrCleanLaunchArgs(const CNodePtr &cnode, AddressPtrList *kernel_inputs,
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const std::shared_ptr<MemScheduler> &mem_schedule = nullptr);
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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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const std::map<tensor::TensorPtr, session::KernelWithIndex> &tensor_to_node = {});
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void RunOpAssignWorkSpaceMemory(const AnfNodePtr &kernel);
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void RunOpAssignOutputNodeMemory(const ValuePtr &pre_output_value, const session::KernelGraph &graph);
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void AssignValueNodeTensor(const ValueNodePtr &value_node, const ValuePtr &node_value, size_t output_idx);
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DeviceAddressPtr PreAssignCNodeMemory(const AnfNodePtr &anf_node, size_t index) const;
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#if ((defined ENABLE_CPU) && (!defined _WIN32))
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void GetFirstPSEmbeddingCache(const session::KernelGraph &graph, AnfNodePtr *const first_cache_input_index,
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size_t *const first_cache_size);
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void CheckIfSupportPSEmbeddingCache(const session::KernelGraph &graph);
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void CheckSparsePSEmbeddingCache(const CNodePtr &node);
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#endif
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void GetCommunicationInputInfo(const AnfNodePtr &node, size_t *total_size, DeviceAddressPtrList *address_list,
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std::vector<size_t> *align_size_list) const;
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void GetCommunicationOutputInfo(const AnfNodePtr &node, size_t *total_size, DeviceAddressPtrList *address_list,
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std::vector<size_t> *align_size_list) const;
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DeviceAddressPtr CreateDeviceAddressForStringValue(const ValuePtr &value, bool use_mem_pool, uint32_t graph_id);
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protected:
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uint32_t device_id_{0};
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bool pynative_mode_profiling_flag_{false};
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#if defined(ENABLE_DEBUGGER) && !defined(_WIN32) && !defined(_WIN64)
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std::shared_ptr<Debugger> debugger_;
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#endif
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void *stream_{nullptr};
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void *independent_stream_{nullptr};
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void *communication_stream_{nullptr};
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std::shared_ptr<MemoryManager> mem_manager_{nullptr};
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std::map<uint32_t, std::vector<DynamicKernelPtr>> graph_dynamic_kernel_map_;
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std::map<uint32_t, std::pair<std::map<AnfNodePtr, std::vector<std::function<void()>>>,
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std::map<AnfNodePtr, std::vector<std::function<void()>>>>>
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graph_kernel_events_map_;
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MemSchedulerManager mem_scheduler_manager_;
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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_RUNTIME_DEVICE_KERNEL_RUNTIME_H_
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