forked from huawei/mindspore2022
156 lines
5.9 KiB
C++
156 lines
5.9 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_PARALLEL_STEP_PARALLEL_H_
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#define MINDSPORE_CCSRC_PARALLEL_STEP_PARALLEL_H_
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#include <vector>
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#include <map>
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#include <memory>
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#include <string>
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#include <unordered_map>
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#include <utility>
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#include "./common.h"
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#include "optimizer/opt.h"
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#include "parallel/strategy.h"
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#include "parallel/tensor_layout/tensor_redistribution.h"
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using OperatorInfoPtr = std::shared_ptr<mindspore::parallel::OperatorInfo>;
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namespace mindspore {
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namespace parallel {
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const uint64_t kUSecondInSecond = 1000000;
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struct LossNodeInfo {
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bool has_tuple_getitem = false;
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int dout_index = 0; // now don't support the sens is a tuple
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};
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std::vector<AnfNodePtr> CreateInput(const Operator& op, const AnfNodePtr& node, const std::string& instance_name);
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std::string CreateInstanceName(const CNodePtr& node, size_t index);
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void ForwardCommunication(OperatorVector forward_op, const CNodePtr& node);
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void InsertRedistribution(const RedistributionOpListPtr& redistribution_oplist_ptr, const CNodePtr& node,
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const FuncGraphPtr& func_graph, int pos, const CNodePtr& pre_node);
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TensorLayout GetTensorInLayout(const CNodePtr& pre_node, const PrimitivePtr& pre_prim,
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const OperatorInfoPtr& distribute_operator_pre);
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OperatorInfoPtr GetDistributeOperator(const CNodePtr& node);
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void Redistribution(const std::pair<AnfNodePtr, int>& node_pair, const OperatorInfoPtr& distribute_operator,
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const CNodePtr& middle_node, int index, TensorRedistribution tensor_redistribution,
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const CNodePtr& pre_node);
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bool StrategyFound(std::unordered_map<std::string, ValuePtr> attrs);
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bool IsParallelCareNode(const CNodePtr& cnode);
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void MarkForwardCNode(const FuncGraphPtr& root);
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bool FindCommunicationOp(const std::vector<AnfNodePtr>& all_nodes);
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void StepRedistribution(const CNodePtr& node, const OperatorInfoPtr& distribute_operator, const CNodePtr& insert_node,
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const TensorRedistribution& tensor_redistribution, const CNodePtr& pre_node);
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std::vector<AnfNodePtr> ReplaceOpInput(const Operator& replace_op, const std::string& instance_name,
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const CNodePtr& node);
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void StepReplaceOp(OperatorVector replace_op, const CNodePtr& node);
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void InsertVirtualDivOp(const VirtualDivOp& virtual_div_op, const CNodePtr& node);
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std::pair<AnfNodePtr, bool> FindParameter(const AnfNodePtr& node, const FuncGraphPtr& func_graph);
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std::pair<bool, CNodePtr> FindCNode(const AnfNodePtr& anode, const std::string& name, const FuncGraphPtr& func_graph);
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void InsertMirrorOps(const MirrorOps& mirror_ops, const CNodePtr& node);
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void BackwardCommunication(const OperatorInfoPtr& distribute_operator, const CNodePtr& node, bool is_loss_node);
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// Generate and init parallel operator
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OperatorInfoPtr OperatorInstance(const PrimitivePtr& prim, const PrimitiveAttrs& attrs,
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const std::vector<Shapes>& shape_list);
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// Generate without initing parallel operator
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OperatorInfoPtr NewOperatorInstance(const PrimitivePtr& prim, const PrimitiveAttrs& attrs,
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std::vector<Shapes> shape_list);
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// Extract strategy from attr
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StrategyPtr ExtractStrategy(std::unordered_map<std::string, ValuePtr> attrs);
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Shapes GetNodeShape(const AnfNodePtr& node);
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std::vector<AnfNodePtr> FindParameterByRefKeyNode(const AnfNodePtr& node, const FuncGraphPtr& func_graph);
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// Extract shape from anfnode
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std::vector<Shapes> ExtractShape(const CNodePtr& node);
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std::pair<AnfNodePtr, int> FindParallelCareNode(const AnfNodePtr& node);
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// Find finally sub graph
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std::pair<AnfNodePtr, int> FindSubGraph(const FuncGraphPtr& func_graph, const AnfNodePtr& parameter);
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// Set distribute shape for parameters abstract
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void SetParallelShape(const AnfNodePtr& parameter, const std::pair<AnfNodePtr, int>& res);
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// change parameters'shape in resource
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void CoverSliceShape(const FuncGraphPtr& root);
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void SetVirtualDatasetStrategy(const CNodePtr& node);
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// Creat parallel operator for primitive node(has strategy)
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void ExtractInformation(const std::vector<AnfNodePtr>& all_nodes);
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TensorLayout GetInputLayoutFromCNode(const std::pair<AnfNodePtr, int>& node_pair);
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std::shared_ptr<TensorLayout> FindNextLayout(const CNodePtr& node);
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std::shared_ptr<TensorLayout> GetOutputLayoutFromCNode(const CNodePtr& cnode, size_t output_index);
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std::shared_ptr<TensorLayout> FindPrevParallelCareNodeLayout(const AnfNodePtr& node, size_t output_index);
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std::shared_ptr<TensorLayout> FindPrevLayout(const AnfNodePtr& node);
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void ReshapeInit(const std::vector<AnfNodePtr>& all_nodes);
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// Add node for whole graph
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void ParallelCommunication(const FuncGraphPtr& root, const std::vector<AnfNodePtr>& all_nodes,
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const FuncGraphManagerPtr& manager);
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void RestoreStrategy(const FuncGraphPtr& func_graph);
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void CheckpointStrategy(const FuncGraphPtr& func_graph);
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// main step of Parallel
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bool StepParallel(const FuncGraphPtr& func_graph, const opt::OptimizerPtr& optimizer);
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int32_t GetTupleGetItemIndex(const CNodePtr& cnode);
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CNodePtr FindLossCNodeFromRoot(const FuncGraphPtr& root);
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Status ParallelInit();
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std::vector<std::string> ExtractInputsTensorName(const CNodePtr& node);
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FuncGraphPtr ForwardGraph(const FuncGraphPtr& root);
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} // namespace parallel
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} // namespace mindspore
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#endif // MINDSPORE_CCSRC_PARALLEL_STEP_PARALLEL_H_
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