How can I fix this problem in Ubuntu 22.04?
$ docker run -it -v /hdd/tao-experiments/centerpose/results/export:/workspace/models -v /home/mona/tao_tutorials/:/tao_tutorials -v /hdd/tao-experiments:/tao-experiments -v /hdd/tao-experiments/data/centerpose:/data nvcr.io/nvidia/tao/tao-toolkit:5.3.0-deploy
=======================
=== TAO Toolkit Deploy ===
=======================
NVIDIA Release 5.3.0-Deploy (build 76057045)
TAO Toolkit Version 5.3.0
Various files include modifications (c) NVIDIA CORPORATION & AFFILIATES. All rights reserved.
This container image and its contents are governed by the TAO Toolkit End User License Agreement.
By pulling and using the container, you accept the terms and conditions of this license:
https://developer.nvidia.com/tao-toolkit-software-license-agreement
WARNING: The NVIDIA Driver was not detected. GPU functionality will not be available.
Use the NVIDIA Container Toolkit to start this container with GPU support; see
https://docs.nvidia.com/datacenter/cloud-native/ .
root@1aaca2c3af14:/opt/nvidia# centerpose gen_trt_engine -e /tao_tutorials/notebooks/tao_launcher_starter_kit/centerpose/specs/gen_trt_engine.yaml gen_trt_engine.onnx_file=/workspace/models/centerpose_model.onnx gen_trt_engine.trt_engine=/workspace/centerpose_model.engine results_dir=/workspace/models/
Traceback (most recent call last):
File "/usr/local/bin/centerpose", line 5, in <module>
from nvidia_tao_deploy.cv.centerpose.entrypoint.centerpose import main
File "</usr/local/lib/python3.10/dist-packages/nvidia_tao_deploy/cv/centerpose/entrypoint/centerpose.py>", line 3, in <module>
File "<frozen cv.centerpose.entrypoint.centerpose>", line 40, in <module>
File "</usr/local/lib/python3.10/dist-packages/nvidia_tao_deploy/cv/common/entrypoint/entrypoint_hydra.py>", line 1, in <module>
File "<frozen cv.common.entrypoint.entrypoint_hydra>", line 30, in <module>
File "/usr/local/lib/python3.10/dist-packages/pycuda/driver.py", line 66, in <module>
from pycuda._driver import * # noqa
ImportError: libcuda.so.1: cannot open shared object file: No such file or directory
root@1aaca2c3af14:/opt/nvidia#
(base) mona@DOS:~$ nvidia-smi
Wed May 29 15:12:08 2024
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 550.67 Driver Version: 550.67 CUDA Version: 12.4 |
|-----------------------------------------+------------------------+----------------------+
| 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 RTX 3080 ... Off | 00000000:01:00.0 Off | N/A |
| N/A 41C P0 752W / 90W | 9MiB / 16384MiB | 0% Default |
| | | N/A |
+-----------------------------------------+------------------------+----------------------+
+-----------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=========================================================================================|
| 0 N/A N/A 5952 G /usr/lib/xorg/Xorg 4MiB |
+-----------------------------------------------------------------------------------------+
(base) mona@DOS:~$ nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2021 NVIDIA Corporation
Built on Thu_Nov_18_09:45:30_PST_2021
Cuda compilation tools, release 11.5, V11.5.119
Build cuda_11.5.r11.5/compiler.30672275_0
(base) mona@DOS:~$ uname -a
Linux DOS 6.5.0-35-generic #35~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Tue May 7 09:00:52 UTC 2 x86_64 x86_64 x86_64 GNU/Linux
(base) mona@DOS:~$ lsb_release -a
LSB Version: core-11.1.0ubuntu4-noarch:security-11.1.0ubuntu4-noarch
Distributor ID: Ubuntu
Description: Ubuntu 22.04.4 LTS
Release: 22.04
Codename: jammy
(base) mona@DOS:~$ tao info
Configuration of the TAO Toolkit Instance
task_group: ['model', 'dataset', 'deploy']
format_version: 3.0
toolkit_version: 5.3.0
published_date: 03/14/2024
(base) mona@DOS:~$ locate libcuda.so.1
/usr/lib/i386-linux-gnu/libcuda.so.1
/usr/lib/x86_64-linux-gnu/libcuda.so.1
/var/lib/flatpak/runtime/org.freedesktop.Platform.GL.nvidia-530-30-02/x86_64/1.4/1b100a6f4a85db99c82050bcbfacad73a2ae66e6e4b9aabdc0a7610f104243df/files/extra/libcuda.so.1
(base) mona@DOS:~$ echo $LD_LIBRARY_PATH
/usr/lib/cuda/lib64:/usr/local/lib:/home/mona/MVTec/HALCON-23.05-Progress//lib/x64-linux:/usr/local/cuda-11.7/lib64:/home/mona/onnx-tensorrt/build::/home/mona/percv_workspace/TensorRT-860/lib
(base) mona@DOS:~$ sudo find /usr/ -name 'libcuda.so.*'
[sudo] password for mona:
/usr/lib/x86_64-linux-gnu/libcuda.so.1
/usr/lib/x86_64-linux-gnu/libcuda.so.550.67
/usr/lib/i386-linux-gnu/libcuda.so.1
/usr/lib/i386-linux-gnu/libcuda.so.550.67