加载模型时报错INetworkDefinition::addConcatenation: Error Code 3: API Usage Error (Parameter check failed, condition: (inputs[j]) != nullptr. )

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加载模型：model/ppyoloe_plus_crn_t_auxhead_320_60e_ppvehicle/model.pdmodel
det_infer 开启tensorrt加速
开始创建
E0411 03:17:27.469527 55938 helper.h:131] INetworkDefinition::addConcatenation: Error Code 3: API Usage Error (Parameter check failed, condition: (inputs[j]) != nullptr. )

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C++ Traceback (most recent call last):

0 paddle_infer::Predictor::Predictor(paddle::AnalysisConfig const&)
1 std::unique_ptr<paddle::PaddlePredictor, std::default_deletepaddle::PaddlePredictor > paddle::CreatePaddlePredictor<paddle::AnalysisConfig, (paddle::PaddleEngineKind)2>(paddle::AnalysisConfig const&)
2 paddle::AnalysisPredictor::Init(std::shared_ptrpaddle::framework::Scope const&, std::shared_ptrpaddle::framework::ProgramDesc const&)
3 paddle::AnalysisPredictor::PrepareProgram(std::shared_ptrpaddle::framework::ProgramDesc const&)
4 paddle::AnalysisPredictor::OptimizeInferenceProgram()
5 paddle::inference::analysis::Analyzer::RunAnalysis(paddle::inference::analysis::Argument*)
6 paddle::inference::analysis::IrAnalysisPass::RunImpl(paddle::inference::analysis::Argument*)
7 paddle::inference::analysis::IRPassManager::Apply(std::unique_ptr<paddle::framework::ir::Graph, std::default_deletepaddle::framework::ir::Graph >)
8 paddle::framework::ir::Pass::Apply(paddle::framework::ir::Graph*) const
9 paddle::inference::analysis::TensorRtSubgraphPass::ApplyImpl(paddle::framework::ir::Graph*) const
10 paddle::inference::analysis::TensorRtSubgraphPass::CreateTensorRTOp(paddle::framework::ir::Node*, paddle::framework::ir::Graph*, std::vector<std::string, std::allocator<std::string > > const&, std::vector<std::string, std::allocator<std::string > >, bool) const
11 paddle::inference::tensorrt::OpConverter::ConvertBlockToTRTEngine(paddle::framework::BlockDesc, paddle::framework::Scope const&, std::vector<std::string, std::allocator<std::string > > const&, std::unordered_set<std::string, std::hash<std::string >, std::equal_to<std::string >, std::allocator<std::string > > const&, std::vector<std::string, std::allocator<std::string > > const&, paddle::inference::tensorrt::TensorRTEngine*)
12 paddle::inference::tensorrt::OpConverter::ConvertBlock(paddle::framework::proto::BlockDesc const&, std::unordered_set<std::string, std::hash<std::string >, std::equal_to<std::string >, std::allocator<std::string > > const&, paddle::framework::Scope const&, paddle::inference::tensorrt::TensorRTEngine*)
13 paddle::inference::tensorrt::OpConverter::ConvertOp(paddle::framework::proto::OpDesc const&, std::unordered_set<std::string, std::hash<std::string >, std::equal_to<std::string >, std::allocator<std::string > > const&, paddle::framework::Scope const&, paddle::inference::tensorrt::TensorRTEngine*, bool, paddle::framework::proto::BlockDesc const*)
14 paddle::inference::tensorrt::SplitOpConverter::operator()(paddle::framework::proto::OpDesc const&, paddle::framework::Scope const&, bool)

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Error Message Summary:

FatalError: Segmentation fault is detected by the operating system.
[TimeInfo: *** Aborted at 1744341447 (unix time) try "date -d @1744341447" if you are using GNU date ***]
[SignalInfo: *** SIGSEGV (@0x8) received by PID 55938 (TID 0xffff85db7b40) from PID 8 ***]

Segmentation fault (core dumped)

环境
arm ubuntu22.04 jetson
cuda12.6 cudnn9.3.0 tensorrt 10.4

[BluebirdStory]

目前暂不支持cuda12.6，你可以先用cuda 11.8，预计5月份会提供cuda 12的支持。
感觉对PaddleX的关注。

[time-heart]

目前暂不支持cuda12.6，你可以先用cuda 11.8，预计5月份会提供cuda 12的支持。 感觉对PaddleX的关注。

Input Name: image
Input Shape: [0]
Input Name: scale_factor
Input Shape: [0]
这是模型的问题吗，使用tensorrt转换子图就会报错缺少张量
我现在的环境时cuda12，cudnn8.8.1，tensorrt8.6.1，还是会出现上诉错误，我运行的是paddle paddle detection的模型

[time-heart]

目前暂不支持cuda12.6，你可以先用cuda 11.8，预计5月份会提供cuda 12的支持。 感觉对PaddleX的关注。

tensorrt转换引擎文件时报错