Libnvbuf_utils.so

Robotics & Edge Computing Jetson & Embedded Systems Jetson AGX Orin
1

Device：nvidia agx orin 32G

SDK:Jetpack 6.0

Linux: r36.3

Question: Testing the Jetson-Inference project, I encountered the following compilation errors: – Copying examples/imagenet.py → imagenet-camera.py – Copying examples/detectnet.py → detectnet-console.py – Copying examples/detectnet.py → detectnet-camera.py – Copying examples/segnet.py → segnet-console.py – Copying examples/segnet.py → segnet-camera.py – Configuring done – Generating done – Build files have been written to: /home/nvidia/workspace/jetson-inter/jetson-inference/build Consolidate compiler generated dependencies of target jetson-utils [ 1%] Linking CXX shared library …/aarch64/lib/libjetson-utils.so /usr/bin/ld: -lnvbuf_utils: The file or directory is not found. collect2: error: ld returned 1 exit status make[2]: * * * / utils/CMakeFiles/jetson - utils. Dir/build make: 4911: aarch64/lib/libjetson-utils.so] Error 1 make[1]: *** [CMakeFiles/Makefile2:856: utils/CMakeFiles/jetson-utils.dir/all] error 2 make: *** [Makefile:136: all] error 2

I made the following attempts, but I still don’t have the libnvbuf_utils.so file.

Method 1:

sudo apt-get update

sudo apt-get install --reinstall nvidia-l4t-multimedia nvidia-l4t-multimedia-utils

method 2:

nvidia@nvidia-desktop:~/Downloads$ sudo find /usr/lib -name libnvbuf_utils.so nvidia@nvidia-desktop:~/Downloads$ dpkg-deb -c nvidia-l4t-multimedia-utils_36.3.0-20240719161631_arm64.deb | grep libnvbuf_utils nvidia@nvidia-desktop:~/Downloads$ sudo dpkg -i nvidia-l4t-multimedia-utils_36.3.0-20240719161631_arm64.deb | grep libnvbuf_utils

Could you please tell me which installation package contains the libnvbuf_utils.so file, or how to resolve this issue? I don’t want to use the NVIDIA SDK Manager for reinstallation.

2

Hi,
Here are some suggestions for the common issues:

1. Performance

Please run the below command before benchmarking deep learning use case:

$ sudo nvpmodel -m 0
$ sudo jetson_clocks

2. Installation

Installation guide of deep learning frameworks on Jetson:

3. Tutorial

Startup deep learning tutorial:

4. Report issue

If these suggestions don’t help and you want to report an issue to us, please attach the model, command/step, and the customized app (if any) with us to reproduce locally.

Thanks!

4

Hi，
Thank you for your reply.

I found a similar issue on the forum and checked the URL: R35.4.1 not found libnvbuf_utils.so - Jetson & Embedded Systems / Jetson AGX Orin - NVIDIA Developer Forums.（https://forums.developer.nvidia.com/t/r35-4-1-not-found-libnvbuf-utils-so/265673）

My solution was to copy /usr/lib/aarch64-linux-gnu/tegra/libnvbufsurface.so to /usr/lib/aarch64-linux-gnu/libnvbuf_utils.so. The issue has been resolved.

5

Hi,

nvbuf_utils is deprecated from r35.2.1.
Instead of directly copying the library, it’s more recommended to try the below two solution:

  1. Use the branch that is compatible with r36.3.0
    GitHub - dusty-nv/jetson-inference at L4T-R36.3.0

  2. Following the nvbuf_utils to NvUtils Migration Guide to update the implementation.

Thanks.

6

Understood, thank you very much for your response.

8

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