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/**
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* Copyright 2019-2020 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 INC_FRAMEWORK_GE_RUNTIME_MODEL_RUNNER_H_
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#define INC_FRAMEWORK_GE_RUNTIME_MODEL_RUNNER_H_
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#include <memory>
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#include <unordered_map>
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#include <vector>
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#include "common/ge_inner_error_codes.h"
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#include "common/ge_types.h"
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#include "ge_runtime/davinci_model.h"
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namespace ge {
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namespace model_runner {
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class RuntimeModel;
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class ModelRunner {
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public:
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static ModelRunner &Instance();
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bool LoadDavinciModel(uint32_t device_id, uint64_t session_id, uint32_t model_id,
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std::shared_ptr<DavinciModel> davinci_model, std::shared_ptr<ModelListener> listener);
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const std::vector<uint32_t> &GetTaskIdList(uint32_t model_id) const;
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bool UnloadModel(uint32_t model_id);
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bool RunModel(uint32_t model_id, const InputData &input_data, OutputData *output_data);
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bool GetInputOutputDescInfo(uint32_t model_id, bool zero_copy, std::vector<InputOutputDescInfo> *input_desc,
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std::vector<InputOutputDescInfo> *output_desc, std::vector<uint32_t> *input_format,
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std::vector<uint32_t> *output_format);
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private:
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ModelRunner() = default;
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~ModelRunner() = default;
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std::unordered_map<uint32_t, std::shared_ptr<RuntimeModel>> runtime_models_;
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};
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} // namespace model_runner
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} // namespace ge
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#endif // INC_FRAMEWORK_GE_RUNTIME_MODEL_RUNNER_H_
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