forked from mindspore-Ecosystem/mindspore
52 lines
1.8 KiB
C++
52 lines
1.8 KiB
C++
/**
|
|
* 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 MINDSPORE_INCLUDE_MS_SESSION_H
|
|
#define MINDSPORE_INCLUDE_MS_SESSION_H
|
|
|
|
#include <memory>
|
|
#include <vector>
|
|
#include <string>
|
|
#include "include/infer_tensor.h"
|
|
|
|
namespace mindspore {
|
|
namespace inference {
|
|
|
|
class MS_API InferSession {
|
|
public:
|
|
InferSession() = default;
|
|
virtual ~InferSession() = default;
|
|
virtual bool InitEnv(const std::string &device_type, uint32_t device_id) = 0;
|
|
virtual bool FinalizeEnv() = 0;
|
|
virtual bool LoadModelFromFile(const std::string &file_name, uint32_t &model_id) = 0;
|
|
virtual bool UnloadModel(uint32_t model_id) = 0;
|
|
// override this method to avoid request/reply data copy
|
|
virtual bool ExecuteModel(uint32_t model_id, const RequestBase &request, ReplyBase &reply) = 0;
|
|
|
|
virtual bool ExecuteModel(uint32_t model_id, const std::vector<InferTensor> &inputs,
|
|
std::vector<InferTensor> &outputs) {
|
|
VectorInferTensorWrapRequest request(inputs);
|
|
VectorInferTensorWrapReply reply(outputs);
|
|
return ExecuteModel(model_id, request, reply);
|
|
}
|
|
|
|
static std::shared_ptr<InferSession> CreateSession(const std::string &device, uint32_t device_id);
|
|
};
|
|
|
|
} // namespace inference
|
|
} // namespace mindspore
|
|
#endif // MINDSPORE_INCLUDE_MS_SESSION_H
|