mirror of
https://github.com/openharmony/neural_network_runtime.git
synced 2026-07-01 08:12:02 -04:00
yangyongjie
45 lines
1.6 KiB
C++
45 lines
1.6 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_EXECUTION_PLAN_H
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#define NEURAL_NETWORK_RUNTIME_EXECUTION_PLAN_H
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#include "frameworks/native/nn_tensor.h"
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#include "interfaces/kits/c/neural_network_runtime_type.h"
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#include "interfaces/oem/cpp_api/prepared_model.h"
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#include "interfaces/oem/cpp_api/device.h"
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namespace OHOS {
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namespace NeuralNetworkRuntime {
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class ExecutionPlan {
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public:
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ExecutionPlan(std::shared_ptr<PreparedModel> preparedModel, std::shared_ptr<Device> device)
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: m_preparedModel(preparedModel),
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m_device(device) {};
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OH_NN_ReturnCode Run(const std::vector<std::shared_ptr<NNTensor>>& inputTensors,
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std::vector<std::shared_ptr<NNTensor>>& outputTensors);
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std::shared_ptr<Device> GetInputDevice() const;
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std::shared_ptr<Device> GetOutputDevice() const;
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private:
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std::shared_ptr<PreparedModel> m_preparedModel {nullptr};
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std::shared_ptr<Device> m_device {nullptr};
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};
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} // namespace NeuralNetworkRuntime
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} // namespace OHOS
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#endif |