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https://github.com/PaddlePaddle/FastDeploy.git
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63 lines
1.8 KiB
C++
63 lines
1.8 KiB
C++
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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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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#pragma once
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#include <iostream>
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#include <memory>
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#include <string>
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#include <vector>
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#include "fastdeploy/backends/backend.h"
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#include "openvino/openvino.hpp"
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namespace fastdeploy {
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struct OpenVINOBackendOption {
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int cpu_thread_num = 8;
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std::map<std::string, std::vector<int64_t>> shape_infos;
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};
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class OpenVINOBackend : public BaseBackend {
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public:
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OpenVINOBackend() {}
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virtual ~OpenVINOBackend() = default;
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bool
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InitFromPaddle(const std::string& model_file, const std::string& params_file,
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const OpenVINOBackendOption& option = OpenVINOBackendOption());
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bool
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InitFromOnnx(const std::string& model_file,
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const OpenVINOBackendOption& option = OpenVINOBackendOption());
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bool Infer(std::vector<FDTensor>& inputs, std::vector<FDTensor>* outputs);
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int NumInputs() const;
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int NumOutputs() const;
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TensorInfo GetInputInfo(int index);
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TensorInfo GetOutputInfo(int index);
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private:
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ov::Core core_;
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ov::CompiledModel compiled_model_;
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ov::InferRequest request_;
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OpenVINOBackendOption option_;
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std::vector<TensorInfo> input_infos_;
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std::vector<TensorInfo> output_infos_;
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};
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} // namespace fastdeploy
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