mirror of
https://github.com/openharmony/neural_network_runtime.git
synced 2026-07-01 08:12:02 -04:00
yangyongjie
68 lines
3.0 KiB
C++
68 lines
3.0 KiB
C++
/*
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* Copyright (c) 2022 Huawei Device Co., Ltd.
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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 NEURAL_NETWORK_RUNTIME_INNER_MODEL_H
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#define NEURAL_NETWORK_RUNTIME_INNER_MODEL_H
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#include <memory>
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#include <unordered_map>
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#include "mindir.h"
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#include "ops_builder.h"
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#include "interfaces/kits/c/neural_network_runtime.h"
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namespace OHOS {
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namespace NeuralNetworkRuntime {
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class InnerModel {
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public:
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InnerModel();
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bool IsBuild() const;
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OH_NN_ReturnCode BuildFromLiteGraph(const mindspore::lite::LiteGraph* liteGraph);
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OH_NN_ReturnCode AddTensor(const OH_NN_Tensor& nnTensor);
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OH_NN_ReturnCode SetTensorValue(uint32_t index, const void* buffer, size_t length);
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OH_NN_ReturnCode AddOperation(OH_NN_OperationType opType,
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const OH_NN_UInt32Array& paramIndices,
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const OH_NN_UInt32Array& inputIndices,
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const OH_NN_UInt32Array& outputIndices);
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OH_NN_ReturnCode GetSupportedOperations(size_t deviceID, const bool** isSupported, uint32_t& opCount);
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OH_NN_ReturnCode SpecifyInputsAndOutputs(
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const OH_NN_UInt32Array& inputIndices, const OH_NN_UInt32Array& outputIndices);
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OH_NN_ReturnCode Build();
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std::vector<std::shared_ptr<NNTensor>> GetInputTensors() const;
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std::vector<std::shared_ptr<NNTensor>> GetOutputTensors() const;
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std::shared_ptr<mindspore::lite::LiteGraph> GetLiteGraphs() const;
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private:
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void AddTensorsToLiteGraph(std::unordered_map<uint32_t, uint32_t>& modelIDToGraphID);
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OH_NN_ReturnCode AddNodesToLiteGraph(const std::unordered_map<uint32_t, uint32_t>& modelIDToGraphID);
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OH_NN_ReturnCode ValidateInputAndOutput(
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const OH_NN_UInt32Array& inputIndices, const OH_NN_UInt32Array& outputIndices) const;
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OH_NN_ReturnCode ValidateTensorArray(const OH_NN_UInt32Array& indices) const;
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private:
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std::vector<char> m_supportedOperations; // std::vector<bool> not support data(), use std::vector<char> instead.
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std::vector<uint32_t> m_inputIndices;
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std::vector<uint32_t> m_outputIndices;
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std::vector<std::unique_ptr<Ops::OpsBuilder>> m_ops;
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std::vector<std::shared_ptr<NNTensor>> m_allTensors;
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std::vector<std::shared_ptr<NNTensor>> m_inputTensors; // Used to pass input tensors to compilation.
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std::vector<std::shared_ptr<NNTensor>> m_outputTensors; // Used to pass output tensors to compilation.
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std::shared_ptr<mindspore::lite::LiteGraph> m_liteGraph {nullptr};
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};
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} // namespace NeuralNetworkRuntime
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} // namespace OHOS
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#endif // NEURAL_NETWORK_RUNTIME_INNER_MODEL_H
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