81 lines
2.8 KiB
C++
81 lines
2.8 KiB
C++
/**
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* Copyright 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 MINDSPORE_INCLUDE_API_MODEL_H
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#define MINDSPORE_INCLUDE_API_MODEL_H
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#include <string>
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#include <vector>
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#include <map>
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#include <memory>
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#include <utility>
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#include "include/api/status.h"
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#include "include/api/types.h"
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#include "include/api/graph.h"
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#include "include/api/context.h"
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#include "include/api/cell.h"
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#include "include/api/dual_abi_helper.h"
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namespace mindspore {
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class ModelImpl;
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class MS_API Model {
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public:
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Model();
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~Model();
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Model(const Model &) = delete;
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void operator=(const Model &) = delete;
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Status Build(GraphCell graph, const std::shared_ptr<Context> &model_context = nullptr);
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Status Resize(const std::vector<MSTensor> &inputs, const std::vector<std::vector<int64_t>> &dims);
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Status Predict(const std::vector<MSTensor> &inputs, std::vector<MSTensor> *outputs);
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std::vector<MSTensor> GetInputs();
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inline MSTensor GetInputByTensorName(const std::string &tensor_name);
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std::vector<MSTensor> GetOutputs();
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inline std::vector<std::string> GetOutputTensorNames();
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inline MSTensor GetOutputByTensorName(const std::string &tensor_name);
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inline std::vector<MSTensor> GetOutputsByNodeName(const std::string &tensor_name);
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static bool CheckModelSupport(enum DeviceType device_type, ModelType model_type);
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private:
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// api without std::string
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MSTensor GetInputByTensorName(const std::vector<char> &tensor_name);
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std::vector<std::vector<char>> GetOutputTensorNamesChar();
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MSTensor GetOutputByTensorName(const std::vector<char> &tensor_name);
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std::vector<MSTensor> GetOutputsByNodeName(const std::vector<char> &node_name);
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std::shared_ptr<ModelImpl> impl_;
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};
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MSTensor Model::GetInputByTensorName(const std::string &tensor_name) {
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return GetInputByTensorName(StringToChar(tensor_name));
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}
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std::vector<std::string> Model::GetOutputTensorNames() { return VectorCharToString(GetOutputTensorNamesChar()); }
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MSTensor Model::GetOutputByTensorName(const std::string &tensor_name) {
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return GetOutputByTensorName(StringToChar(tensor_name));
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}
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std::vector<MSTensor> Model::GetOutputsByNodeName(const std::string &tensor_name) {
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return GetOutputsByNodeName(StringToChar(tensor_name));
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}
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} // namespace mindspore
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#endif // MINDSPORE_INCLUDE_API_MODEL_H
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