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https://github.com/PaddlePaddle/FastDeploy.git
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821dc756e6
* Fix runtime with python * Add CenterNet/PicoDet/PPYOLO/PPYOLOv2/YOLOv3 * add more ppdet models * add model * fix some usage bugs for detection models
68 lines
2.4 KiB
C++
68 lines
2.4 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 "fastdeploy/fastdeploy_runtime.h"
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namespace fastdeploy {
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class FASTDEPLOY_DECL FastDeployModel {
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public:
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virtual std::string ModelName() const { return "NameUndefined"; }
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virtual bool InitRuntime();
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virtual bool CreateCpuBackend();
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virtual bool CreateGpuBackend();
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virtual bool Infer(std::vector<FDTensor>& input_tensors,
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std::vector<FDTensor>* output_tensors);
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RuntimeOption runtime_option;
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std::vector<Backend> valid_cpu_backends = {Backend::ORT};
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std::vector<Backend> valid_gpu_backends = {Backend::ORT};
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std::vector<Backend> valid_external_backends;
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bool initialized = false;
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virtual int NumInputsOfRuntime() { return runtime_->NumInputs(); }
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virtual int NumOutputsOfRuntime() { return runtime_->NumOutputs(); }
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virtual TensorInfo InputInfoOfRuntime(int index) {
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return runtime_->GetInputInfo(index);
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}
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virtual TensorInfo OutputInfoOfRuntime(int index) {
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return runtime_->GetOutputInfo(index);
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}
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virtual bool Initialized() const {
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return runtime_initialized_ && initialized;
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}
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virtual void EnableDebug();
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virtual bool DebugEnabled();
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private:
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std::unique_ptr<Runtime> runtime_;
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bool runtime_initialized_ = false;
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bool debug_ = false;
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};
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#define TIMERECORD_START(id) \
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TimeCounter tc_##id; \
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tc_##id.Start();
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#define TIMERECORD_END(id, prefix) \
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if (DebugEnabled()) { \
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tc_##id.End(); \
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FDLogger() << __FILE__ << "(" << __LINE__ << "):" << __FUNCTION__ << " " \
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<< prefix << " duration = " << tc_##id.Duration() << "s." \
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<< std::endl; \
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}
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} // namespace fastdeploy
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