/** * Copyright 2020 Huawei Technologies Co., Ltd * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ #ifndef INC_MODEL_PROCESS_ACL #define INC_MODEL_PROCESS_ACL #include #include #include "acl/acl.h" #include "acl/acl_mdl.h" #include "acl/acl_rt.h" #include "serving/core/util/status.h" #include "include/inference.h" namespace mindspore { namespace inference { struct AclTensorInfo { void *device_data; size_t buffer_size; aclDataType data_type; std::vector dims; }; class ModelProcess { public: ModelProcess() {} ~ModelProcess() {} bool LoadModelFromFile(const std::string &file_name, uint32_t &model_id); void UnLoad(); // override this method to avoid request/reply data copy bool Execute(const RequestBase &request, ReplyBase &reply); void SetIsDevice(bool is_device) { is_run_on_device_ = is_device; } private: uint32_t model_id_ = 0xffffffff; bool is_run_on_device_ = false; aclmdlDesc *model_desc_ = nullptr; aclmdlDataset *inputs_ = nullptr; aclmdlDataset *outputs_ = nullptr; std::vector input_infos_; std::vector output_infos_; bool CreateDataBuffer(void *&data_mem_buffer, size_t buffer_size, aclmdlDataset *dataset); bool CheckAndInitInput(const RequestBase &request); bool BuildOutputs(ReplyBase &reply); bool InitInputsBuffer(); bool InitOutputsBuffer(); void DestroyInputsDataset(); void DestroyInputsDataMem(); void DestroyInputsBuffer(); void DestroyOutputsBuffer(); }; } // namespace inference } // namespace mindspore #endif