After ruinning the code: ~/jetson-inference/build/aarch64/bin$ detectnet /dev/video0 .i encountered a system error that caused an infinite loop

Robotics & Edge Computing Jetson Systems Jetson Nano
1 
[TRT]    CublasConvolution has no valid tactics for this config, skipping
[TRT]    --------------- Timing Runner: FeatureExtractor/MobilenetV2/expanded_conv_4/expand/Conv2D + PWN(FeatureExtractor/MobilenetV2/expanded_conv_4/expand/Relu6) (CaskConvolution)
[TRT]    CaskConvolution has no valid tactics for this config, skipping
[TRT]    >>>>>>>>>>>>>>> Chose Runner Type: CudnnConvolution Tactic: 1
[TRT]    *************** Autotuning format combination: Half(23104,1444:2,38,1) -> Half(277248,1444,38,1) ***************
[TRT]    --------------- Timing Runner: FeatureExtractor/MobilenetV2/expanded_conv_4/expand/Conv2D + PWN(FeatureExtractor/MobilenetV2/expanded_conv_4/expand/Relu6) (CaskConvolution)
[TRT]    CaskConvolution has no valid tactics for this config, skipping
[TRT]    *************** Autotuning format combination: Half(23104,1444:2,38,1) -> Half(138624,1444:2,38,1) ***************
[TRT]    --------------- Timing Runner: FeatureExtractor/MobilenetV2/expanded_conv_4/expand/Conv2D + PWN(FeatureExtractor/MobilenetV2/expanded_conv_4/expand/Relu6) (FusedConvActConvolution)
[TRT]    FusedConvActConvolution has no valid tactics for this config, skipping
[TRT]    --------------- Timing Runner: FeatureExtractor/MobilenetV2/expanded_conv_4/expand/Conv2D + PWN(FeatureExtractor/MobilenetV2/expanded_conv_4/expand/Relu6) (CudnnConvolution)
[TRT]    CudnnConvolution has no valid tactics for this config, skipping
[TRT]    --------------- Timing Runner: FeatureExtractor/MobilenetV2/expanded_conv_4/expand/Conv2D + PWN(FeatureExtractor/MobilenetV2/expanded_conv_4/expand/Relu6) (CublasConvolution)
[TRT]    CublasConvolution has no valid tactics for this config, skipping
[TRT]    --------------- Timing Runner: FeatureExtractor/MobilenetV2/expanded_conv_4/expand/Conv2D + PWN(FeatureExtractor/MobilenetV2/expanded_conv_4/expand/Relu6) (CaskConvolution)
[TRT]    FeatureExtractor/MobilenetV2/expanded_conv_4/expand/Conv2D + PWN(FeatureExtractor/MobilenetV2/expanded_conv_4/expand/Relu6) Set Tactic Name: maxwell_fp16x2_hcudnn_fp16x2_128x32_relu_interior_nn_v1 Tactic: 3066127711859985668
[TRT]    Tactic: 3066127711859985668 Time: 0.156563
[TRT]    FeatureExtractor/MobilenetV2/expanded_conv_4/expand/Conv2D + PWN(FeatureExtractor/MobilenetV2/expanded_conv_4/expand/Relu6) Set Tactic Name: maxwell_fp16x2_hcudnn_fp16x2_128x32_relu_medium_nn_v1 Tactic: 3564772625446233998
[TRT]    Tactic: 3564772625446233998 Time: 0.165313
[TRT]    FeatureExtractor/MobilenetV2/expanded_conv_4/expand/Conv2D + PWN(FeatureExtractor/MobilenetV2/expanded_conv_4/expand/Relu6) Set Tactic Name: maxwell_fp16x2_hcudnn_fp16x2_128x32_relu_small_nn_v1 Tactic: 5319956359050645452
[TRT]    Tactic: 5319956359050645452 Time: 0.155599
[TRT]    FeatureExtractor/MobilenetV2/expanded_conv_4/expand/Conv2D + PWN(FeatureExtractor/MobilenetV2/expanded_conv_4/expand/Relu6) Set Tactic Name: maxwell_fp16x2_hcudnn_fp16x2_128x64_relu_medium_nn_v1 Tactic: 7205456024582378848
[TRT]    Tactic: 7205456024582378848 Time: 0.127578
[TRT]    FeatureExtractor/MobilenetV2/expanded_conv_4/expand/Conv2D + PWN(FeatureExtractor/MobilenetV2/expanded_conv_4/expand/Relu6) Set Tactic Name: maxwell_fp16x2_hcudnn_fp16x2_128x64_relu_interior_nn_v1 Tactic: 8163473458334948789
[TRT]    Tactic: 8163473458334948789 Time: 0.125
[TRT]    FeatureExtractor/MobilenetV2/expanded_conv_4/expand/Conv2D + PWN(FeatureExtractor/MobilenetV2/expanded_conv_4/expand/Relu6) Set Tactic Name: maxwell_fp16x2_hcudnn_fp16x2_128x128_relu_small_nn_v1 Tactic: -4212163711445252890
[TRT]    Tactic: -4212163711445252890 Time: 0.168489
[TRT]    FeatureExtractor/MobilenetV2/expanded_conv_4/expand/Conv2D + PWN(FeatureExtractor/MobilenetV2/expanded_conv_4/expand/Relu6) Set Tactic Name: maxwell_fp16x2_hcudnn_fp16x2_128x128_relu_medium_nn_v1 Tactic: -3898373634979201110
[TRT]    Tactic: -3898373634979201110 Time: 0.164297
[TRT]    FeatureExtractor/MobilenetV2/expanded_conv_4/expand/Conv2D + PWN(FeatureExtractor/MobilenetV2/expanded_conv_4/expand/Relu6) Set Tactic Name: maxwell_fp16x2_hcudnn_fp16x2_128x64_relu_small_nn_v1 Tactic: -2409163523992614473
[TRT]    Tactic: -2409163523992614473 Time: 0.124219
[TRT]    FeatureExtractor/MobilenetV2/expanded_conv_4/expand/Conv2D + PWN(FeatureExtractor/MobilenetV2/expanded_conv_4/expand/Relu6) Set Tactic Name: maxwell_fp16x2_hcudnn_fp16x2_128x128_relu_interior_nn_v1 Tactic: -1716393687483585322
[TRT]    Tactic: -1716393687483585322 Time: 0.16065
[TRT]    Fastest Tactic: -2409163523992614473 Time: 0.124219
[TRT]    >>>>>>>>>>>>>>> Chose Runner Type: CaskConvolution Tactic: -2409163523992614473
[TRT]    =============== Computing costs for 
[TRT]    *************** Autotuning format combination: Float(277248,1444,38,1) -> Float(277248,1444,38,1) ***************
[TRT]    --------------- Timing Runner: FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/depthwise + PWN(FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/Relu6) (CudaDepthwiseConvolution)
[TRT]    Tactic: -1 Time: 0.32961
[TRT]    Fastest Tactic: -1 Time: 0.32961
[TRT]    --------------- Timing Runner: FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/depthwise + PWN(FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/Relu6) (CudnnConvolution)
[TRT]    Tactic: 0 Time: 0.71099
[TRT]    Tactic: 1 Time: 0.711224
[TRT]    Tactic: 2 Time: 0.955833
[TRT]    Tactic: 4 Time: 113.452
[TRT]    Tactic: 5 Time: 232.156
[TRT]    Tactic: 6 Time: 14.8393
[TRT]    Fastest Tactic: 0 Time: 0.71099
[TRT]    --------------- Timing Runner: FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/depthwise + PWN(FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/Relu6) (CaskConvolution)
[TRT]    FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/depthwise + PWN(FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/Relu6) Set Tactic Name: maxwell_scudnn_128x32_relu_medium_nn_v1 Tactic: 1062367460111450758
[TRT]    Tactic: 1062367460111450758 Time: 10.0449
[TRT]    FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/depthwise + PWN(FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/Relu6) Set Tactic Name: maxwell_scudnn_128x32_relu_large_nn_v0 Tactic: 1754984623894446479
[TRT]    Tactic: 1754984623894446479 Time: 9.43156
[TRT]    FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/depthwise + PWN(FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/Relu6) Set Tactic Name: maxwell_scudnn_128x128_relu_large_nn_v0 Tactic: 3611739942397549984
[TRT]    Tactic: 3611739942397549984 Time: 20.9378
[TRT]    FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/depthwise + PWN(FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/Relu6) Set Tactic Name: maxwell_scudnn_winograd_128x128_ldg1_ldg4_relu_tile148n_nt_v1 Tactic: 3827454225649558724
[TRT]    Tactic: 3827454225649558724 Time: 21.0774
[TRT]    FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/depthwise + PWN(FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/Relu6) Set Tactic Name: maxwell_scudnn_128x64_relu_large_nn_v1 Tactic: 4337000649858996379
[TRT]    Tactic: 4337000649858996379 Time: 10.6175
[TRT]    FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/depthwise + PWN(FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/Relu6) Set Tactic Name: maxwell_scudnn_128x128_relu_medium_nn_v1 Tactic: 4501471010995462441
[TRT]    Tactic: 4501471010995462441 Time: 20.0171
[TRT]    FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/depthwise + PWN(FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/Relu6) Set Tactic Name: maxwell_scudnn_128x64_relu_small_nn_v1 Tactic: 5137655947464784826
[TRT]    Tactic: 5137655947464784826 Time: 10.2802
[TRT]    FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/depthwise + PWN(FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/Relu6) Set Tactic Name: maxwell_scudnn_128x128_relu_small_nn_v0 Tactic: 5288347012147084929
[TRT]    Tactic: 5288347012147084929 Time: 21.2943
[TRT]    FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/depthwise + PWN(FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/Relu6) Set Tactic Name: maxwell_scudnn_winograd_128x128_ldg1_ldg4_relu_tile148m_nt_v1 Tactic: 5921334924264294896
[TRT]    Tactic: 5921334924264294896 Time: 15.4016
[TRT]    FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/depthwise + PWN(FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/Relu6) Set Tactic Name: maxwell_scudnn_128x64_relu_medium_nn_v1 Tactic: 6645123197870846056
[TRT]    Tactic: 6645123197870846056 Time: 10.5204
[TRT]    FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/depthwise + PWN(FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/Relu6) Set Tactic Name: maxwell_scudnn_128x32_relu_small_nn_v0 Tactic: 7144526460361122478
[TRT]    Tactic: 7144526460361122478 Time: 6.25677
[TRT]    FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/depthwise + PWN(FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/Relu6) Set Tactic Name: maxwell_scudnn_winograd_128x128_ldg1_ldg4_relu_tile148t_nt_v1 Tactic: 7852627285308570038
[TRT]    Tactic: 7852627285308570038 Time: 22.7089
[TRT]    FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/depthwise + PWN(FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/Relu6) Set Tactic Name: maxwell_scudnn_128x128_relu_large_nn_v1 Tactic: -9137461792520977713
[TRT]    Tactic: -9137461792520977713 Time: 20.2482
[TRT]    FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/depthwise + PWN(FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/Relu6) Set Tactic Name: maxwell_scudnn_winograd_128x128_ldg1_ldg4_relu_tile148n_nt_v0 Tactic: -8776506421218919509
[TRT]    Tactic: -8776506421218919509 Time: 20.7223
[TRT]    FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/depthwise + PWN(FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/Relu6) Set Tactic Name: maxwell_scudnn_128x128_relu_medium_nn_v0 Tactic: -8262349710178828730
[TRT]    Tactic: -8262349710178828730 Time: 20.9934
[TRT]    FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/depthwise + PWN(FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/Relu6) Set Tactic Name: maxwell_scudnn_128x64_relu_large_nn_v0 Tactic: -8133971918129952780
[TRT]    Tactic: -8133971918129952780 Time: 10.281
[TRT]    FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/depthwise + PWN(FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/Relu6) Set Tactic Name: maxwell_scudnn_128x32_relu_large_nn_v1 Tactic: -6092040395344634144
[TRT]    Tactic: -6092040395344634144 Time: 6.90325
[TRT]    FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/depthwise + PWN(FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/Relu6) Set Tactic Name: maxwell_scudnn_128x32_relu_medium_nn_v0 Tactic: -4787320710726427159
[TRT]    Tactic: -4787320710726427159 Time: 6.53031
[TRT]    FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/depthwise + PWN(FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/Relu6) Set Tactic Name: maxwell_scudnn_128x32_relu_small_nn_v1 Tactic: -3456450830548107839
[TRT]    Tactic: -3456450830548107839 Time: 6.54344
[TRT]    FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/depthwise + PWN(FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/Relu6) Set Tactic Name: maxwell_scudnn_winograd_128x128_ldg1_ldg4_relu_tile148t_nt_v0 Tactic: -2318106587342035239
[TRT]    Tactic: -2318106587342035239 Time: 21.5893
[TRT]    FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/depthwise + PWN(FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/Relu6) Set Tactic Name: maxwell_scudnn_winograd_128x128_ldg1_ldg4_mobile_relu_tile148t_nt_v0 Tactic: -1343271414618805657
[TRT]    Tactic: -1343271414618805657 Time: 15.0233
[TRT]    FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/depthwise + PWN(FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/Relu6) Set Tactic Name: maxwell_scudnn_128x64_relu_medium_nn_v0 Tactic: -1218658103698133241
[TRT]    Tactic: -1218658103698133241 Time: 9.88677
[TRT]    FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/depthwise + PWN(FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/Relu6) Set Tactic Name: maxwell_scudnn_128x64_relu_small_nn_v0 Tactic: -836875257600482091
[TRT]    Tactic: -836875257600482091 Time: 9.68052
[TRT]    FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/depthwise + PWN(FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/Relu6) Set Tactic Name: maxwell_scudnn_128x128_relu_small_nn_v1 Tactic: -410470605513481746
[TRT]    Tactic: -410470605513481746 Time: 19.7477
[TRT]    Fastest Tactic: 7144526460361122478 Time: 6.25677
[TRT]    >>>>>>>>>>>>>>> Chose Runner Type: CudaDepthwiseConvolution Tactic: -1
[TRT]    *************** Autotuning format combination: Float(277248,1,7296,192) -> Float(277248,1,7296,192) ***************
[TRT]    --------------- Timing Runner: FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/depthwise + PWN(FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/Relu6) (CudnnConvolution)
[TRT]    CudnnConvolution has no valid tactics for this config, skipping
[TRT]    --------------- Timing Runner: FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/depthwise + PWN(FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/Relu6) (CaskConvolution)
[TRT]    CaskConvolution has no valid tactics for this config, skipping
[TRT]    *************** Autotuning format combination: Half(277248,1444,38,1) -> Half(277248,1444,38,1) ***************
[TRT]    --------------- Timing Runner: FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/depthwise + PWN(FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/Relu6) (CudnnConvolution)
3

Hi,

The output is the building log instead of errors.
TensorRT building takes time. Please wait for a little bit longer to allow the building complete.

Thanks.

5

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