Unable to run DeepStream5.1 Sample App

As stated I want to ensure I have a functional Docker setup for running DeepStream 5.1 containers. Issues documented bellow:

• Hardware Platform (Jetson / GPU)

• DeepStream Version

• NVIDIA GPU Driver Version (valid for GPU only)

• Issue Type( questions, new requirements, bugs)
I am working to get the docker sample running.

• How to reproduce the issue ? (This is for bugs. Including which sample app is using, the configuration files content, the command line used and other details for reproducing)

I have WSL 2 installed on Windows 10 Pro Version 21H2

Then I installed Ubuntu 22.04 LTS:

Docker Desktop installed with the result in Ubuntu:
docker --version
Docker version 20.10.17, build 100c701

After that on windows I installed the latest Nvidia driver found here:

I followed this procedure: Installation Guide — NVIDIA Cloud Native Technologies documentation to get the Nvidia toolkit setup, but did not install the Linux driver due to using WSL2.

Once completed used the command:
sudo docker run --rm --gpus all nvidia/cuda:11.0.3-base-ubuntu20.04 nvidia-smi

| NVIDIA-SMI 515.65.01    Driver Version: 516.94       CUDA Version: 11.7     |
| 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 RTX A200...  On   | 00000000:01:00.0 Off |                  N/A |
| N/A   37C    P0    13W /  N/A |      0MiB /  4096MiB |      0%      Default |
|                               |                      |                  N/A |

| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|  No running processes found                                                 |

however when I run:

 sudo docker run --gpus all -it --rm --net=host --privileged -v /tmp/.X11-unix:/tmp/.X11-unix -e DISPLAY=$DISPLAY -w /opt/nvidia/deepstream/deepstream-5.1 nvcr.io/nvidia/deepstream:5.1-21.02-samples

then in the docker run:

deepstream-app -c configs/deepstream-app/source30_1080p_dec_infer-resnet_tiled_display_int8.txt

this yields the following error:

(gst-plugin-scanner:12): GStreamer-WARNING **: 15:45:48.107: Failed to load plugin '/usr/lib/x86_64-linux-gnu/gstreamer-1.0/deepstream/libnvdsgst_inferserver.so': libtritonserver.so: cannot open shared object file: No such file or directory

(gst-plugin-scanner:12): GStreamer-WARNING **: 15:45:48.115: Failed to load plugin '/usr/lib/x86_64-linux-gnu/gstreamer-1.0/deepstream/libnvdsgst_infer.so': /usr/lib/x86_64-linux-gnu/gstreamer-1.0/deepstream/libnvdsgst_infer.so: undefined symbol: cuGraphicsEGLRegisterImage
** ERROR: <parse_config_file:532>: parse_config_file failed
** ERROR: <main:627>: Failed to parse config file 'configs/deepstream-app/source30_1080p_dec_infer-resnet_tiled_display_int8.txt'
App run failed

I am new to running DeepStream in general and have inherited a Docker based project using DeepStream5.1, so any help would be appreciated. The actual project is running on a Lenovo ThinkEdge SE70, but I was hoping to be able to do R&D development on my personal machine. If there is a recommendation for the cleanest workflow here I am willing to make a change.

Currently running samples found here:

Realized I had posted a incorrect error. after changing to samples directory I am getting:

root@docker-desktop:/opt/nvidia/deepstream/deepstream-5.1# cd samples
root@docker-desktop:/opt/nvidia/deepstream/deepstream-5.1/samples# deepstream-app -c configs/deepstream-app/source30_1080p_dec_infer-resnet_tiled_display_int8.txt
** ERROR: <create_primary_gie_bin:120>: Failed to create 'primary_gie'
** ERROR: <create_primary_gie_bin:182>: create_primary_gie_bin failed
** ERROR: <create_pipeline:1294>: create_pipeline failed
** ERROR: <main:636>: Failed to create pipeline
App run failed

There is no update from you for a period, assuming this is not an issue anymore.
Hence we are closing this topic. If need further support, please open a new one.

Please check this, what we support, Quickstart Guide — DeepStream 6.0.1 Release documentation
We did not support WSL.

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