Error Code 4: Internal Error (mot)

[moonnyeon]

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CUDA_VISIBLE_DEVICES=0 python deploy/pptracking/python/mot_jde_infer.py --model_dir=output_inference/fairmot_dla34_30e_864x480/ --video_file=3015_2_52.mp4 --device=GPU --run_mode=trt_fp16 --enable_mkldnn=True

E0207 08:22:49.846153 4538 helper.h:114] 4: Output tensor tmp_01159 of type Float produced from output of incompatible type Bool E0207 08:22:49.846289 4538 helper.h:114] 4: [network.cpp::validate::2534] Error Code 4: Internal Error (Could not compute dimensions for tmp_01159, because the network is not valid.) E0207 08:22:49.846300 4538 helper.h:114] 2: [builder.cpp::buildSerializedNetwork::399] Error Code 2: Internal Error (Assertion enginePtr != nullptr failed.)

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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 > >) 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::TensorRTEngine::FreezeNetwork()

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Error Message Summary:

FatalError: Segmentation fault is detected by the operating system. [TimeInfo: *** Aborted at 1675725769 (unix time) try "date -d @1675725769" if you are using GNU date ***] [SignalInfo: *** SIGSEGV (@0x8) received by PID 4538 (TID 0x7fee0ca314c0) from PID 8 ***]

Segmentation fault (core dumped)

[jerrywgz]

先确认下run_mode设置为paddle是否会报错

[moonnyeon]

no, if run_mode is set to paddle, no errors will occur.