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1 /*
2  * Copyright (c) 2022 Huawei Device Co., Ltd.
3  * Licensed under the Apache License, Version 2.0 (the "License");
4  * you may not use this file except in compliance with the License.
5  * You may obtain a copy of the License at
6  *
7  *     http://www.apache.org/licenses/LICENSE-2.0
8  *
9  * Unless required by applicable law or agreed to in writing, software
10  * distributed under the License is distributed on an "AS IS" BASIS,
11  * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12  * See the License for the specific language governing permissions and
13  * limitations under the License.
14  */
15 
16 #ifndef NEURAL_NETWORK_RUNTIME_INNER_MODEL_H
17 #define NEURAL_NETWORK_RUNTIME_INNER_MODEL_H
18 
19 #include <memory>
20 #include <unordered_map>
21 
22 #include "mindir.h"
23 #include "ops_builder.h"
24 #include "interfaces/kits/c/neural_network_runtime.h"
25 
26 namespace OHOS {
27 namespace NeuralNetworkRuntime {
28 class InnerModel {
29 public:
30     InnerModel();
31 
32     bool IsBuild() const;
33     OH_NN_ReturnCode BuildFromLiteGraph(const mindspore::lite::LiteGraph* liteGraph);
34     OH_NN_ReturnCode AddTensor(const OH_NN_Tensor& nnTensor);
35     OH_NN_ReturnCode SetTensorValue(uint32_t index, const void* buffer, size_t length);
36     OH_NN_ReturnCode AddOperation(OH_NN_OperationType opType,
37                                   const OH_NN_UInt32Array& paramIndices,
38                                   const OH_NN_UInt32Array& inputIndices,
39                                   const OH_NN_UInt32Array& outputIndices);
40     OH_NN_ReturnCode GetSupportedOperations(size_t deviceID, const bool** isSupported, uint32_t& opCount);
41     OH_NN_ReturnCode SpecifyInputsAndOutputs(
42         const OH_NN_UInt32Array& inputIndices, const OH_NN_UInt32Array& outputIndices);
43     OH_NN_ReturnCode Build();
44     std::vector<std::shared_ptr<NNTensor>> GetInputTensors() const;
45     std::vector<std::shared_ptr<NNTensor>> GetOutputTensors() const;
46     std::shared_ptr<mindspore::lite::LiteGraph> GetLiteGraphs() const;
47 
48 private:
49     void AddTensorsToLiteGraph(std::unordered_map<uint32_t, uint32_t>& modelIDToGraphID);
50     OH_NN_ReturnCode AddNodesToLiteGraph(const std::unordered_map<uint32_t, uint32_t>& modelIDToGraphID);
51     OH_NN_ReturnCode ValidateInputAndOutput(
52         const OH_NN_UInt32Array& inputIndices, const OH_NN_UInt32Array& outputIndices) const;
53     OH_NN_ReturnCode ValidateTensorArray(const OH_NN_UInt32Array& indices) const;
54 
55 private:
56     std::vector<char> m_supportedOperations; // std::vector<bool> not support data(), use std::vector<char> instead.
57     std::vector<uint32_t> m_inputIndices;
58     std::vector<uint32_t> m_outputIndices;
59     std::vector<std::unique_ptr<Ops::OpsBuilder>> m_ops;
60     std::vector<std::shared_ptr<NNTensor>> m_allTensors;
61     std::vector<std::shared_ptr<NNTensor>> m_inputTensors; // Used to pass input tensors to compilation.
62     std::vector<std::shared_ptr<NNTensor>> m_outputTensors; // Used to pass output tensors to compilation.
63     std::shared_ptr<mindspore::lite::LiteGraph> m_liteGraph {nullptr};
64 };
65 }  // namespace NeuralNetworkRuntime
66 }  // namespace OHOS
67 #endif // NEURAL_NETWORK_RUNTIME_INNER_MODEL_H
68