forked from mindspore-Ecosystem/mindspore
64 lines
1.8 KiB
C++
64 lines
1.8 KiB
C++
/**
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* Copyright 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 MINDSPORE_SERVER_H
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#define MINDSPORE_SERVER_H
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#include <string>
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#include <mutex>
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#include <vector>
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#include <memory>
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#include "util/status.h"
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#include "version_control/model.h"
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#include "include/inference.h"
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#include "serving/ms_service.pb.h"
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#include "serving/ms_service.grpc.pb.h"
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namespace mindspore {
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namespace serving {
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using ms_serving::PredictReply;
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using ms_serving::PredictRequest;
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class Session {
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public:
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static Session &Instance();
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Status CreatDeviceSession(const std::string &device, uint32_t device_id);
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// Status Predict(const inference::MultiTensor &inputs, inference::MultiTensor &output);
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Status Predict(const PredictRequest &request, PredictReply &reply);
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Status Warmup(const MindSporeModelPtr model);
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Status Clear();
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private:
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Session() = default;
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~Session() = default;
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int sesseion_id_{0};
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std::shared_ptr<inference::InferSession> session_{nullptr};
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bool model_loaded_ = false;
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uint32_t graph_id_{0};
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std::mutex mutex_;
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std::string device_type_;
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};
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class Server {
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public:
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Server() = default;
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~Server() = default;
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Status BuildAndStart();
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};
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} // namespace serving
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} // namespace mindspore
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#endif // MINDSPORE_SERVER_H
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