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131 lines
3.6 KiB
131 lines
3.6 KiB
/**
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* Copyright 2019-2020 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 GE_HYBRID_MODEL_NODE_ITEM_H_
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#define GE_HYBRID_MODEL_NODE_ITEM_H_
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#include <mutex>
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#include <vector>
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#include "external/ge/ge_api_error_codes.h"
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#include "graph/node.h"
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#include "graph/op_desc.h"
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#include "framework/common/types.h"
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#include "hybrid/common/tensor_value.h"
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namespace ge {
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namespace hybrid {
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class NodeTask;
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class NodeExecutor;
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struct FusedSubgraph {
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std::map<int, std::vector<GeTensorDescPtr>> input_mapping;
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std::map<int, OpDescPtr> output_mapping;
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std::vector<NodePtr> nodes;
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ComputeGraphPtr graph;
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};
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bool IsControlOp(const std::string &op_type);
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// for caching static information across execution
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struct NodeItem {
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~NodeItem() = default;
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static Status Create(const NodePtr &node, std::unique_ptr<NodeItem> &node_item);
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const std::string &NodeName() const {
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return node_name;
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}
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const std::string &NodeType() const {
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return node_type;
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}
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OpDescPtr GetOpDesc() const {
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return node->GetOpDesc();
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}
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bool IsInputShapeStatic(int index) const;
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GeTensorDescPtr MutableOutputDesc(int index) const;
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Status UpdateInputDesc(int index, const GeTensorDesc &tensor_desc);
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GeTensorDescPtr MutableInputDesc(int index) const;
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Status GetInputDesc(int index, GeTensorDesc &tensor_desc) const;
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Status GetOutputDesc(int index, GeTensorDesc &tensor_desc) const;
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Status GetCanonicalInputIndex(uint32_t index, int &canonical_index) const;
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bool IsControlOp() const;
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bool IsHcclOp() const;
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void SetToDynamic();
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std::string DebugString() const;
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NodePtr node;
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OpDesc *op_desc;
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int node_id = -1;
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int group = -1;
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int num_inputs = 0;
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int num_outputs = 0;
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int input_start = -1;
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int output_start = -1;
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bool is_dynamic = false;
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bool has_observer = false;
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bool has_optional_inputs = false;
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bool is_output_shape_static = true;
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bool is_need_force_infershape = false;
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UnknowShapeOpType shape_inference_type = DEPEND_IN_SHAPE;
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std::string node_name;
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std::string node_type;
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std::vector<ge::NodePtr> dependents_for_shape_inference;
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std::vector<ge::NodePtr> dependents_for_execution;
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std::set<int> to_const_output_id_list;
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// src_output_id, dst_anchor_id, dst_node
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vector<vector<pair<int, NodeItem *>>> outputs;
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std::shared_ptr<NodeTask> kernel_task;
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std::unique_ptr<FusedSubgraph> fused_subgraph;
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const NodeExecutor *node_executor = nullptr;
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std::map<int, ge::NodePtr> ref_outputs;
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std::map<int, int> reuse_inputs;
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std::map<int, int> reuse_outputs;
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int num_static_input_shapes = 0;
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bool is_profiling_report = false;
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private:
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explicit NodeItem(NodePtr node);
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Status Init();
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Status InitInputsAndOutputs();
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void ResolveOptionalInputs();
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Status ResolveDynamicState();
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Status ResolveStaticInputsAndOutputs();
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void ResolveUnknownShapeType();
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GeTensorDescPtr DoGetInputDesc(int index) const;
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std::vector<bool> is_input_shape_static_;
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std::vector<uint32_t> input_desc_indices_;
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mutable std::mutex mu_;
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};
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} // namespace hybrid
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} // namespace ge
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#endif // GE_HYBRID_MODEL_NODE_ITEM_H_
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