When I run the run_dev.sh script, my container is successfully built, and I get a terminal inside of the container. But I have noticed, that when I run sudo apt update && sudo apt upgrade I am told that there is 10GB of data that needs to be fetched from the archives. This takes a very long time, but I am forced to do it since my Yolo inference with tensor_rt doesn't work if I do not do this.
Are the docker base images provided by NVIDIA out of date? Or why do I have to upgrade my environment every time with 10GB of data before I can successfully run my pipeline?
I would really appreciate any help I can get with this.
Here you can see my logs:
=> => exporting layers 2.0s
=> => writing image sha256:61a1c174bd663778ad0affab885ab0d20eb19687b9e7b8cbb6f7b1fd9a49d658 0.0s
=> => naming to docker.io/library/isaac_ros_dev-x86_64-seaclear2 0.0s
1 warning found (use docker --debug to expand):
- InvalidDefaultArgInFrom: Default value for ARG ${BASE_IMAGE} results in empty or invalid base image name (line 3)
Running isaac_ros_dev-x86_64-seaclear2-container
Creating non-root container 'admin' for host user uid=1001:gid=1001
- Stopping hotplug events dispatcher systemd-udevd [ OK ]
- Starting hotplug events dispatcher systemd-udevd [ OK ]
To run a command as administrator (user "root"), use "sudo ".
See "man sudo_root" for details. [+] Building 284.5s (15/34)
admin@itr-Blade-15-Advanced-Model-Mid-2021-RZ09-0409:/workspaces/oak
admin@itr-Blade-15-Advanced-Model-Mid-2021-RZ09-0409:/workspaces/oak
admin@itr-Blade-15-Advanced-Model-Mid-2021-RZ09-0409:/workspaces/oakd_isaac_ros$ sudo apt update
Hit:2 http://security.ubuntu.com/ubuntu jammy-security InRelease
Hit:3 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64 InRelease
Hit:1 https://repo.download.nvidia.com/jetson/x86_64/jammy r36.4 InRelease
Hit:4 https://dl.yarnpkg.com/debian stable InRelease
Hit:5 https://deb.nodesource.com/node_18.x nodistro InRelease
Hit:6 https://ppa.launchpadcontent.net/mosquitto-dev/mosquitto-ppa/ubuntu jammy InRelease
Hit:7 https://isaac.download.nvidia.com/isaac-ros/release-3 jammy InRelease
Hit:8 http://packages.ros.org/ros2/ubuntu jammy InRelease
Hit:9 http://archive.ubuntu.com/ubuntu jammy InRelease
Hit:10 http://archive.ubuntu.com/ubuntu jammy-updates InRelease
Hit:11 http://archive.ubuntu.com/ubuntu jammy-backports InRelease
Reading package lists... Done
Building dependency tree... Done
Reading state information... Done
131 packages can be upgraded. Run 'apt list --upgradable' to see them.
W: http://repo.download.nvidia.com/jetson/x86_64/jammy/dists/r36.4/InRelease: Key is stored in legacy trusted.gpg keyring (/etc/apt/trusted.gpg), see the DEPRECATION section in apt-key(8) for details.
W: https://dl.yarnpkg.com/debian/dists/stable/InRelease: Key is stored in legacy trusted.gpg keyring (/etc/apt/trusted.gpg), see the DEPRECATION section in apt-key(8) for details.
W: https://isaac.download.nvidia.com/isaac-ros/release-3/dists/jammy/InRelease: Key is stored in legacy trusted.gpg keyring (/etc/apt/trusted.gpg), see the DEPRECATION section in apt-key(8) for details.
admin@itr-Blade-15-Advanced-Model-Mid-2021-RZ09-0409:/workspaces/oakd_isaac_ros$ sudo apt upgrade
Reading package lists... Done
Building dependency tree... Done
Reading state information... Done
Calculating upgrade... Done
The following NEW packages will be installed:
libcudnn9-headers-cuda-12 libnvinfer-headers-python-plugin-dev
libnvinfer-win-builder-resource10
The following packages will be upgraded:
base-files binutils binutils-common binutils-x86-64-linux-gnu cuda-cccl-12-6
cuda-compat-12-6 cuda-crt-12-6 cuda-cudart-12-6 cuda-cudart-dev-12-6 cuda-cuobjdump-12-6
cuda-cupti-12-6 cuda-cupti-dev-12-6 cuda-driver-dev-12-6 cuda-gdb-12-6 cuda-nvcc-12-6
cuda-nvdisasm-12-6 cuda-nvml-dev-12-6 cuda-nvprof-12-6 cuda-nvprune-12-6 cuda-nvrtc-12-6
cuda-nvrtc-dev-12-6 cuda-nvtx-12-6 cuda-nvvm-12-6 cuda-profiler-api-12-6
cuda-sanitizer-12-6 cuda-toolkit-12-6-config-common cuda-toolkit-12-config-common
cuda-toolkit-config-common datacenter-gpu-manager distro-info-data e2fsprogs
gir1.2-packagekitglib-1.0 git-man gnupg2 iputils-ping libapparmor1 libarchive-dev
libarchive13 libbinutils libc-bin libc-dev-bin libc6 libc6-dev libc6-i386 libcap2-bin
libcryptsetup12 libctf-nobfd0 libctf0 libcublas-12-6 libcublas-dev-12-6 libcudnn9-cuda-12
libcudnn9-dev-cuda-12 libcufft-12-6 libcufft-dev-12-6 libcufile-12-6 libcufile-dev-12-6
libcurand-12-6 libcurand-dev-12-6 libcurl3-gnutls libcusolver-12-6 libcusolver-dev-12-6
libcusparse-12-6 libcusparse-dev-12-6 libcusparselt-dev libcusparselt0 libcutensor-dev
libcutensor2 libdevmapper1.02.1 libexpat1 libexpat1-dev libext2fs2 libglib2.0-data
libgnutls30 libldap-2.5-0 libnccl-dev libnccl2 libnpp-12-6 libnpp-dev-12-6 libnvinfer-bin
libnvinfer-dev libnvinfer-dispatch-dev libnvinfer-dispatch10 libnvinfer-headers-dev
libnvinfer-headers-plugin-dev libnvinfer-lean-dev libnvinfer-lean10 libnvinfer-plugin-dev
libnvinfer-plugin10 libnvinfer-vc-plugin-dev libnvinfer-vc-plugin10 libnvinfer10
libnvjitlink-12-6 libnvjitlink-dev-12-6 libnvjpeg-12-6 libnvjpeg-dev-12-6
libnvonnxparsers-dev libnvonnxparsers10 libpackagekit-glib2-18 libpam-modules
libpam-modules-bin libpam-runtime libpam0g libperl5.34 libseccomp2 libss2 libssh-4
libtasn1-6 linux-libc-dev logsave nano openssh-client openssl packagekit perl perl-base
perl-modules-5.34 python-apt-common python3-apt python3-pkg-resources python3-setuptools
ros-humble-image-proc ros-humble-moveit-resources
ros-humble-moveit-resources-fanuc-description
ros-humble-moveit-resources-fanuc-moveit-config
ros-humble-moveit-resources-panda-description
ros-humble-moveit-resources-panda-moveit-config
ros-humble-moveit-resources-pr2-description ros-humble-negotiated-interfaces
ros-humble-rclcpp tensorrt-dev xxd
131 upgraded, 3 newly installed, 0 to remove and 0 not upgraded.
Need to get 10.3 GB of archives.
After this operation, 2,863 MB of additional disk space will be used.
Do you want to continue? [Y/n] y
When I run the
run_dev.shscript, my container is successfully built, and I get a terminal inside of the container. But I have noticed, that when I runsudo apt update && sudo apt upgradeI am told that there is 10GB of data that needs to be fetched from the archives. This takes a very long time, but I am forced to do it since my Yolo inference with tensor_rt doesn't work if I do not do this.Are the docker base images provided by NVIDIA out of date? Or why do I have to upgrade my environment every time with 10GB of data before I can successfully run my pipeline?
I would really appreciate any help I can get with this.
Here you can see my logs: