mindspore/serving/acl/model_process.h

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/**
* 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 <vector>
#include <string>
#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<int64_t> 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<AclTensorInfo> input_infos_;
std::vector<AclTensorInfo> 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