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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
76 lines
2.5 KiB
C++
76 lines
2.5 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 "paddle_api.h" // NOLINT
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#include "fastdeploy/runtime/backends/backend.h"
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#include "fastdeploy/runtime/backends/lite/option.h"
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namespace fastdeploy {
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class LiteBackend : public BaseBackend {
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public:
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LiteBackend() {}
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virtual ~LiteBackend() = default;
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void BuildOption(const LiteBackendOption& option);
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bool InitFromPaddle(const std::string& model_file,
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const std::string& params_file,
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const LiteBackendOption& option = LiteBackendOption());
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bool Infer(std::vector<FDTensor>& inputs,
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std::vector<FDTensor>* outputs,
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bool copy_to_fd = true) override; // NOLINT
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int NumInputs() const override { return inputs_desc_.size(); }
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int NumOutputs() const override { return outputs_desc_.size(); }
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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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private:
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void ConfigureCpu(const LiteBackendOption& option);
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void ConfigureTimvx(const LiteBackendOption& option);
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void ConfigureAscend(const LiteBackendOption& option);
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void ConfigureKunlunXin(const LiteBackendOption& option);
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void ConfigureNNAdapter(const LiteBackendOption& option);
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paddle::lite_api::CxxConfig config_;
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std::shared_ptr<paddle::lite_api::PaddlePredictor> predictor_;
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std::vector<TensorInfo> inputs_desc_;
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std::vector<TensorInfo> outputs_desc_;
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std::map<std::string, int> inputs_order_;
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LiteBackendOption option_;
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};
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// Convert data type from paddle lite to fastdeploy
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FDDataType LiteDataTypeToFD(const paddle::lite_api::PrecisionType& dtype);
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// Helper function to read file
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bool ReadFile(const std::string& filename,
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std::vector<char>* contents,
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bool binary = true);
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} // namespace fastdeploy
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