forked from huawei/mindspore2022
91 lines
2.4 KiB
C++
91 lines
2.4 KiB
C++
/**
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* Copyright 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_LITE_MICRO_CODER_GRAPH_H_
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#define MINDSPORE_LITE_MICRO_CODER_GRAPH_H_
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#include <map>
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#include <memory>
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#include <unordered_map>
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#include <vector>
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#include <string>
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#include "coder/config.h"
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#include "include/context.h"
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#include "include/model.h"
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#include "schema/inner/model_generated.h"
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#include "src/common/graph_util.h"
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#include "src/tensor.h"
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namespace mindspore::lite::micro {
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class CoderGraph {
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public:
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explicit CoderGraph(Model *model) : model_(model) {}
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~CoderGraph();
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int ConvertTensors();
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int InitGraphInOutTensors();
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void SetAllTensors(const std::vector<Tensor *> &all_tensors);
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void InitInputs();
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void InitOutputs();
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void SetInputIndices(const std::vector<uint32_t> &input_indices);
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void SetOutputIndices(const std::vector<uint32_t> &output_indices);
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void AddInputMap(const std::string &node_id, Tensor *input_tensor);
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void AddOutputMap(const std::string &node_id, Tensor *output_tensor);
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std::vector<uint32_t> input_indices() const;
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std::vector<uint32_t> output_indices() const;
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std::vector<Tensor *> input_tensors() const;
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std::vector<Tensor *> output_tensors() const;
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std::vector<Tensor *> all_tensors() const;
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const std::map<NODE_ID, std::vector<Tensor *>> &GetOutputsMap() const;
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const Model *model() const { return this->model_; }
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void DumpUnSupportLayer(Target target);
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private:
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// graph_inputs && weight && bias is value_node
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// others are parameter_node
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std::vector<Tensor *> all_tensors_;
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std::vector<Tensor *> input_tensors_;
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std::vector<Tensor *> output_tensors_;
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std::vector<uint32_t> input_indices_;
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std::vector<uint32_t> output_indices_;
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std::map<std::string, std::vector<Tensor *>> inputs_map_;
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std::map<std::string, std::vector<Tensor *>> outputs_map_;
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Model *model_{nullptr};
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};
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} // namespace mindspore::lite::micro
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#endif // MINDSPORE_LITE_MICRO_CODER_GRAPH_H_
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