How to run jetson_clocks inside docker container?

Hi Everyone, when I run “sudo jetson_clocks –show“ in my docker,I get the error like “Error! Unknown GPU!“,but the jetson_clocks is working outside the container correctly, what is the problem?

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The error you’re encountering, “Error: Unknown GPU,” when running sudo jetsonclocks show within a Docker container on your Jetson Orin NX, suggests that the container is unable to recognize or access the GPU. This issue is not uncommon when working with Docker containers on NVIDIA Jetson devices, as the container might not have the necessary permissions or access to the GPU resources.

Here are several steps and considerations to help resolve this issue:

  1. NVIDIA Container Runtime: Ensure that you’re using the NVIDIA Container Runtime for Docker. This runtime is specifically designed to work with NVIDIA GPUs and allows containers to access the GPU resources. You can check if the NVIDIA Container Runtime is installed and configured correctly by running docker run --rm --gpus all nvidia/cuda:11.0-base-ubuntu20.04 nvidia-smi.

  2. GPU Access within Containers: The error could also indicate that the container does not have access to the GPU. You can specify the GPU access when running the container using the --gpus flag. For example, docker run --gpus all -it --rm my-jetson-image. This flag tells Docker to make all GPUs available to the container.

  3. NVIDIA Drivers and CUDA: Ensure that the NVIDIA drivers and CUDA are properly installed on your host system. Sometimes, the issue might be related to the version of the drivers or CUDA that is installed. Make sure they are compatible with your Jetson device and the version of JetPack you are using.

  4. Container Configuration: Check the Dockerfile or the command used to create the container to ensure that it is properly configured to use the GPU. This includes setting the correct environment variables and installing the necessary NVIDIA packages within the container.

  5. Permissions: Ensure that the user running the container has the necessary permissions to access the GPU. This might involve adding the user to the docker group or configuring the container to run with elevated privileges.

  6. JetsonClocks and Docker: jetsonclocks is a tool specifically designed for NVIDIA Jetson devices to monitor and control the clocks of the GPU, CPU, and other components. If jetsonclocks works outside the container but not inside, it could be due to the container’s inability to access the necessary system resources or because the tool is not installed or configured correctly within the container.

  7. Docker Version and NVIDIA Support: Ensure that your Docker version supports NVIDIA GPUs. Newer versions of Docker have better support for NVIDIA GPUs, so updating Docker might resolve the issue.

  8. Rebuilding the Container: If none of the above steps resolve the issue, try rebuilding the Docker container with the latest NVIDIA Container Runtime and ensuring that all necessary packages and configurations for GPU access are included in the Dockerfile.

By following these steps, you should be able to resolve the “Error: Unknown GPU” issue when running jetsonclocks within a Docker container on your Jetson Orin NX.

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The anwers above can not work

Hi,

jetson_clocks change the hardware clocks so you can run it natively to take the same effect.
To use it within the container, please add the required node to the container:

Thanks.

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