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step_auto_parallel.h 2.90 KB
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/**
* Copyright 2019 Huawei Technologies Co., Ltd
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef MINDSPORE_CCSRC_FRONTEND_PARALLEL_STEP_AUTO_PARALLEL_H_
#define MINDSPORE_CCSRC_FRONTEND_PARALLEL_STEP_AUTO_PARALLEL_H_
#include <map>
#include <memory>
#include <string>
#include <vector>
#include <utility>
#include "frontend/optimizer/opt.h"
#include "frontend/parallel/status.h"
#include "ir/anf.h"
#include "pipeline/jit/pipeline.h"
#include "frontend/parallel/auto_parallel/rec_core/rec_parse_graph.h"
namespace mindspore {
namespace parallel {
// main step of Auto-parallel
bool StepAutoParallel(const FuncGraphPtr &func_graph, const opt::OptimizerPtr &optimizer);
bool IsSplittableOperator(const std::string &);
bool IsAutoParallelCareNode(const CNodePtr &);
void InitCostGraph();
Status ConstructCostGraphNodesByUniqueId(const std::vector<AnfNodePtr> &all_nodes, const FuncGraphPtr &root);
Status ConstructCostGraphNodesByUniqueIdTC(const std::vector<AnfNodePtr> &all_nodes, const FuncGraphPtr &root);
void ConstructCostGraphEdges(const std::vector<AnfNodePtr> &all_nodes);
void AugmentCostGraph(const std::vector<AnfNodePtr> &all_nodes);
Status IgnoreOperatorsInCostGraph();
Status ParallelStrategySearch(const std::vector<AnfNodePtr> &all_nodes, const FuncGraphPtr &root);
Status ParallelStrategyRecSearch(const std::vector<AnfNodePtr> &all_nodes, const FuncGraphPtr &root);
std::vector<std::vector<std::string>> RecInputTensorNames(const std::map<std::string, std::string>::iterator &it,
std::vector<std::vector<std::string>> input_tensor_names);
CNodePtr GetInternalOperatorInfo(const CNodePtr &cnode, const ValueNodePtr &prim_anf_node);
void ModifyInputsTensorNameListIfOperatorInfoCreated(const std::string &name, const std::string &uniqueid);
size_t FindOperatorIndexById(const std::string &unique_id,
const std::vector<std::vector<std::string>> &input_tensor_names);
void AddUsersUniqueIdWhenSharingParameter(
const std::pair<std::string, std::pair<AnfNodePtr, AnfNodeIndexSet>> &parameter_users_info);
std::vector<std::vector<size_t>> GetIndexOfOpsSharingInputTensor(
const std::vector<std::vector<std::string>> &shared_tensors_ops_names,
const std::vector<std::vector<std::string>> &input_tensor_names);
} // namespace parallel
} // namespace mindspore
#endif // MINDSPORE_CCSRC_FRONTEND_PARALLEL_STEP_AUTO_PARALLEL_H_
Python
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mindspore
mindspore
mindspore
r1.7

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