Segmentation Fault ( Core Dumped)

[varun-sappa]

Cuda Version:10.2
Deepstream Version 6.0.1
Ubuntu 18.04
jetson@tx2:~/DeepStream-Yolo$ deepstream-app -c deepstream_app_config.txt

Using winsys: x11
ERROR: Deserialize engine failed because file path: /home/jetson/DeepStream-Yolo/model_b1_gpu0_fp32.engine open error
0:00:01.760350873 20141 0x1af4ce10 WARN nvinfer gstnvinfer.cpp:635:gst_nvinfer_logger:<primary_gie> NvDsInferContext[UID 1]: Warning from NvDsInferContextImpl::deserializeEngineAndBackend() <nvdsinfer_context_impl.cpp:1889> [UID = 1]: deserialize engine from file :/home/jetson/DeepStream-Yolo/model_b1_gpu0_fp32.engine failed
0:00:01.761341108 20141 0x1af4ce10 WARN nvinfer gstnvinfer.cpp:635:gst_nvinfer_logger:<primary_gie> NvDsInferContext[UID 1]: Warning from NvDsInferContextImpl::generateBackendContext() <nvdsinfer_context_impl.cpp:1996> [UID = 1]: deserialize backend context from engine from file :/home/jetson/DeepStream-Yolo/model_b1_gpu0_fp32.engine failed, try rebuild
0:00:01.761389044 20141 0x1af4ce10 INFO nvinfer gstnvinfer.cpp:638:gst_nvinfer_logger:<primary_gie> NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::buildModel() <nvdsinfer_context_impl.cpp:1914> [UID = 1]: Trying to create engine from model files

Loading pre-trained weights
Loading weights of yolov4 complete
Total weights read: 1231291
Building YOLO network

   Layer                                   Input Shape        Output Shape       WeightPtr

(0) conv_mish [3, 608, 608] [32, 608, 608] 992
(1) conv_mish [32, 608, 608] [64, 304, 304] 19680
(2) conv_mish [64, 304, 304] [64, 304, 304] 24032
(3) route: 1 - [64, 304, 304] -
(4) conv_mish [64, 304, 304] [64, 304, 304] 28384
(5) conv_mish [64, 304, 304] [32, 304, 304] 30560
(6) conv_mish [32, 304, 304] [64, 304, 304] 49248
(7) shortcut_linear: 4 [64, 304, 304] [64, 304, 304] -
(8) conv_mish [64, 304, 304] [64, 304, 304] 53600
(9) route: 8, 2 - [128, 304, 304] -
(10) conv_mish [128, 304, 304] [64, 304, 304] 62048
(11) conv_mish [64, 304, 304] [128, 152, 152] 136288
(12) conv_mish [128, 152, 152] [64, 152, 152] 144736
(13) route: 11 - [128, 152, 152] -
(14) conv_mish [128, 152, 152] [64, 152, 152] 153184
(15) conv_mish [64, 152, 152] [64, 152, 152] 157536
(16) conv_mish [64, 152, 152] [64, 152, 152] 194656
(17) shortcut_linear: 14 [64, 152, 152] [64, 152, 152] -
(18) conv_mish [64, 152, 152] [64, 152, 152] 199008
(19) conv_mish [64, 152, 152] [64, 152, 152] 236128
(20) shortcut_linear: 17 [64, 152, 152] [64, 152, 152] -
(21) conv_mish [64, 152, 152] [64, 152, 152] 240480
(22) route: 21, 12 - [128, 152, 152] -
(23) conv_mish [128, 152, 152] [128, 152, 152] 257376
(24) conv_mish [128, 152, 152] [256, 76, 76] 553312
(25) conv_mish [256, 76, 76] [128, 76, 76] 586592
(26) route: 24 - [256, 76, 76] -
(27) conv_mish [256, 76, 76] [128, 76, 76] 619872
(28) conv_mish [128, 76, 76] [128, 76, 76] 636768
(29) conv_mish [128, 76, 76] [128, 76, 76] 784736
(30) shortcut_linear: 27 [128, 76, 76] [128, 76, 76] -
(31) conv_mish [128, 76, 76] [128, 76, 76] 801632
(32) conv_mish [128, 76, 76] [128, 76, 76] 949600
(33) shortcut_linear: 30 [128, 76, 76] [128, 76, 76] -
(34) conv_mish [128, 76, 76] [128, 76, 76] 966496
(35) conv_mish [128, 76, 76] [128, 76, 76] 1114464
(36) shortcut_linear: 33 [128, 76, 76] [128, 76, 76] -
(37) conv_mish [128, 76, 76] [128, 76, 76] 1131360
(38) conv_mish [128, 76, 76] [128, 76, 76] 1279328
(39) shortcut_linear: 36 [128, 76, 76] [128, 76, 76] -
(40) conv_mish [128, 76, 76] [128, 76, 76] 1296224
(41) conv_mish [128, 76, 76] [128, 76, 76] 1444192
(42) shortcut_linear: 39 [128, 76, 76] [128, 76, 76] -
(43) conv_mish [128, 76, 76] [128, 76, 76] 1461088
(44) conv_mish [128, 76, 76] [128, 76, 76] 1609056
(45) shortcut_linear: 42 [128, 76, 76] [128, 76, 76] -
(46) conv_mish [128, 76, 76] [128, 76, 76] 1625952
(47) conv_mish [128, 76, 76] [128, 76, 76] 1773920
(48) shortcut_linear: 45 [128, 76, 76] [128, 76, 76] -
(49) conv_mish [128, 76, 76] [128, 76, 76] 1790816
(50) conv_mish [128, 76, 76] [128, 76, 76] 1938784
(51) shortcut_linear: 48 [128, 76, 76] [128, 76, 76] -
(52) conv_mish [128, 76, 76] [128, 76, 76] 1955680
(53) route: 52, 25 - [256, 76, 76] -
(54) conv_mish [256, 76, 76] [256, 76, 76] 2022240
(55) conv_mish [256, 76, 76] [512, 38, 38] 3203936
(56) conv_mish [512, 38, 38] [256, 38, 38] 3336032
(57) route: 55 - [512, 38, 38] -
(58) conv_mish [512, 38, 38] [256, 38, 38] 3468128
(59) conv_mish [256, 38, 38] [256, 38, 38] 3534688
(60) conv_mish [256, 38, 38] [256, 38, 38] 4125536
(61) shortcut_linear: 58 [256, 38, 38] [256, 38, 38] -
(62) conv_mish [256, 38, 38] [256, 38, 38] 4192096
(63) conv_mish [256, 38, 38] [256, 38, 38] 4782944
(64) shortcut_linear: 61 [256, 38, 38] [256, 38, 38] -
(65) conv_mish [256, 38, 38] [256, 38, 38] 4849504
(66) conv_mish [256, 38, 38] [256, 38, 38] 5440352
(67) shortcut_linear: 64 [256, 38, 38] [256, 38, 38] -
(68) conv_mish [256, 38, 38] [256, 38, 38] 5506912
(69) conv_mish [256, 38, 38] [256, 38, 38] 6097760
(70) shortcut_linear: 67 [256, 38, 38] [256, 38, 38] -
(71) conv_mish [256, 38, 38] [256, 38, 38] 6164320
(72) conv_mish [256, 38, 38] [256, 38, 38] 6755168
(73) shortcut_linear: 70 [256, 38, 38] [256, 38, 38] -
(74) conv_mish [256, 38, 38] [256, 38, 38] 6821728
(75) conv_mish [256, 38, 38] [256, 38, 38] 7412576
(76) shortcut_linear: 73 [256, 38, 38] [256, 38, 38] -
(77) conv_mish [256, 38, 38] [256, 38, 38] 7479136
(78) conv_mish [256, 38, 38] [256, 38, 38] 8069984
(79) shortcut_linear: 76 [256, 38, 38] [256, 38, 38] -
(80) conv_mish [256, 38, 38] [256, 38, 38] 8136544
(81) conv_mish [256, 38, 38] [256, 38, 38] 8727392
(82) shortcut_linear: 79 [256, 38, 38] [256, 38, 38] -
(83) conv_mish [256, 38, 38] [256, 38, 38] 8793952
(84) route: 83, 56 - [512, 38, 38] -
(85) conv_mish [512, 38, 38] [512, 38, 38] 9058144
Segmentation fault (core dumped)