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https://github.com/PaddlePaddle/FastDeploy.git
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f73a538f61
* [backend] support bechmark mode for runtime and backend * [backend] support bechmark mode for runtime and backend * [pybind11] add benchmark methods pybind * [pybind11] add benchmark methods pybind * [Other] Update build scripts * [Other] Update cmake/summary.cmake * [Other] update build scripts * [Other] add ENABLE_BENCHMARK option -> setup.py * optimize backend time recording * optimize backend time recording * optimize trt backend time record * [backend] optimze backend_time recording for trt * [benchmark] remove redundant logs * fixed ov_backend confilct * [benchmark] fixed paddle_backend conflicts * [benchmark] fixed paddle_backend conflicts * [benchmark] fixed paddle_backend conflicts * [benchmark] remove use_gpu option from ort backend option * [benchmark] update benchmark_ppdet.py * [benchmark] update benchmark_ppcls.py * fixed lite backend conflicts * [Lite] fixed lite xpu * add benchmark macro * add RUNTIME_PROFILE_LOOP macros * add comments for RUNTIME_PROFILE macros * add comments for new apis * add comments for new apis * update benchmark_ppdet.py * afixed bugs * remove unused codes * optimize RUNTIME_PROFILE_LOOP macros * optimize RUNTIME_PROFILE_LOOP macros * add comments for benchmark option and result * add docs for benchmark namespace
73 lines
2.3 KiB
C++
73 lines
2.3 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/runtime/backends/backend.h"
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#include "fastdeploy/utils/unique_ptr.h"
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#include "fastdeploy/runtime/backends/openvino/option.h"
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#include "openvino/openvino.hpp"
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namespace fastdeploy {
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class OpenVINOBackend : public BaseBackend {
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public:
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static ov::Core core_;
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OpenVINOBackend() {}
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virtual ~OpenVINOBackend() = default;
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bool Init(const RuntimeOption& option);
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bool Infer(std::vector<FDTensor>& inputs, std::vector<FDTensor>* outputs,
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bool copy_to_fd = true) override;
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int NumInputs() const override;
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int NumOutputs() const override;
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TensorInfo GetInputInfo(int index) override;
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TensorInfo GetOutputInfo(int index) override;
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std::vector<TensorInfo> GetInputInfos() override;
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std::vector<TensorInfo> GetOutputInfos() override;
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std::unique_ptr<BaseBackend> Clone(RuntimeOption &runtime_option,
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void* stream = nullptr,
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int device_id = -1) override;
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private:
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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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void InitTensorInfo(const std::vector<ov::Output<ov::Node>>& ov_outputs,
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std::map<std::string, TensorInfo>* tensor_infos);
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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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