Loading models segfaults on x86

[Woz4tetra]

I've been having trouble training and testing my models on my desktop PC. Currently, the dev branch (821bea9) and nvmm-disabled (9a94ef5) compiles. Other branches like master (9bf5549) produce this error when I try to build:

 [  6%] Linking CXX shared library ../x86_64/lib/libjetson-utils.so
/usr/bin/ld: cannot find -lnvbuf_utils

When I compile dev or nvmm-disabled and run the detectnet executable through a script, I get this output:

[TRT]    cache file not found, profiling network model on device GPU
[TRT]    The logger passed into createInferBuilder differs from one already assigned, 0x7ffe5f25b868, logger not updated.

./test.sh: line 36: 47735 Segmentation fault      (core dumped) detectnet --model=$MODEL --labels=$LABELS --input-blob=input_0 --output-cvg=scores --output-bbox=boxes --threshold=$THRESHOLD $INPUT $OUTPUT

I've run this same model on real Jetson hardware with no issues. I was able to run this command a year or so ago when my machine was on Ubuntu 18, cuda 10.X.

Is this issue happening because I'm not on the master branch? What is causing nvbuf_utils to not be found? I'm happy to provide more info if needed.

uname -a output:
Linux XXX 5.4.0-89-generic #100-Ubuntu SMP Fri Sep 24 14:50:10 UTC 2021 x86_64 x86_64 x86_64 GNU/Linux

lsb_release -a output:

Distributor ID:	Ubuntu
Description:	Ubuntu 20.04.3 LTS
Release:	20.04
Codename:	focal

nvidia-smi output:

Thu Nov  4 19:34:15 2021       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 465.19.01    Driver Version: 465.19.01    CUDA Version: 11.3     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|                               |                      |               MIG M. |
|===============================+======================+======================|
|   0  NVIDIA GeForce ...  On   | 00000000:01:00.0 Off |                  N/A |
|  0%   37C    P8     9W / 215W |    337MiB /  8116MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|=============================================================================|
|    0   N/A  N/A      1524      G   /usr/lib/xorg/Xorg                327MiB |
|    0   N/A  N/A      1681      G   /usr/bin/gnome-shell                6MiB |
+-----------------------------------------------------------------------------+

nvcc --version output:

nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2021 NVIDIA Corporation
Built on Mon_May__3_19:15:13_PDT_2021
Cuda compilation tools, release 11.3, V11.3.109
Build cuda_11.3.r11.3/compiler.29920130_0

dpkg -l | grep nvinfer output:

ii  libnvinfer-bin                                              8.0.0-1+cuda11.3                      amd64        TensorRT binaries
ii  libnvinfer-dev                                              8.0.0-1+cuda11.3                      amd64        TensorRT development libraries and headers
ii  libnvinfer-doc                                              8.0.0-1+cuda11.3                      all          TensorRT documentation
ii  libnvinfer-plugin-dev                                       8.0.0-1+cuda11.3                      amd64        TensorRT plugin libraries
ii  libnvinfer-plugin8                                          8.0.0-1+cuda11.3                      amd64        TensorRT plugin libraries
ii  libnvinfer-samples                                          8.0.0-1+cuda11.3                      all          TensorRT samples
ii  libnvinfer8                                                 8.0.0-1+cuda11.3                      amd64        TensorRT runtime libraries
ii  python3-libnvinfer                                          8.0.0-1+cuda11.3                      amd64        Python 3 bindings for TensorRT
ii  python3-libnvinfer-dev                                      8.0.0-1+cuda11.3                      amd64        Python 3 development package for TensorRT

[Woz4tetra]

I found the issue. Or at least, part of it. I upgraded using this command:
sudo apt install libnvinfer8*
libnvinfer is now on version 8.2.0.

I still can't compile the master branch. nvmm-disable is working though.