Running the docker/build.sh doesn't works

nakayonum · July 12, 2022, 8:27am

I want to build my own container using jetson-inference, so I ran docker/build.sh, but it doesn’t work
Please how can we make it work?

The execution environment is as follows
(I have changed /etc/docker/daemon.json and rebooted the system.)
jetpack: 4.6
docker version: Docker version 20.10.7, build 20.10.7-0ubuntu5~18.04.3
/etc/docker/daemon.json

 {
    "runtimes": {
        "nvidia": {
            "path": "nvidia-container-runtime",
            "runtimeArgs": []
        }
    },
 
    "default-runtime": "nvidia"
  }

Execution result

$ docker/build.sh
ARCH:  aarch64
reading L4T version from /etc/nv_tegra_release
L4T BSP Version:  L4T R32.6.1
BASE_IMAGE=nvcr.io/nvidia/l4t-pytorch:r32.6.1-pth1.9-py3
TAG=jetson-inference:r32.6.1
selecting OpenCV for L4T R32.6.1...
OPENCV_URL=https://nvidia.box.com/shared/static/5v89u6g5rb62fpz4lh0rz531ajo2t5ef.gz
OPENCV_DEB=OpenCV-4.5.0-aarch64.tar.gz
Sending build context to Docker daemon  399.1MB
Step 1/21 : ARG BASE_IMAGE=nvcr.io/nvidia/l4t-pytorch:r32.4.3-pth1.6-py3
Step 2/21 : FROM ${BASE_IMAGE}
 ---> 9a936a937ee0
Step 3/21 : ENV DEBIAN_FRONTEND=noninteractive
 ---> Using cache
 ---> bf4840dfaa86
Step 4/21 : ENV SHELL /bin/bash
 ---> Using cache
 ---> e3ad1a845498
Step 5/21 : WORKDIR /jetson-inference
 ---> Using cache
 ---> 5bfd2a2e6744
Step 6/21 : RUN apt-get update &&     apt-get install -y --no-install-recommends             cmake 		  nano 		  lsb-release     && rm -rf /var/lib/apt/lists/*
 ---> Running in 6a389e6c1468
failed to create shim: OCI runtime create failed: container_linux.go:380: starting container process caused: error adding seccomp filter rule for syscall clone3: permission denied: unknown

AastaLLL · July 13, 2022, 3:01am

Hi,

The default base image in the Dockerfile is set to r32.4.3.
Would you mind updating it to r32.6.1 and trying it again?

Or change the file based on the following?

diff --git a/Dockerfile b/Dockerfile
index f44713a7..6a6f9768 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -27,7 +27,8 @@
 #     https://github.com/dusty-nv/jetson-containers#docker-default-runtime
 #
 
-ARG BASE_IMAGE=nvcr.io/nvidia/l4t-pytorch:r32.4.3-pth1.6-py3
+#ARG BASE_IMAGE=nvcr.io/nvidia/l4t-pytorch:r32.4.3-pth1.6-py3
+ARG BASE_IMAGE=${BASE_IMAGE}
 FROM ${BASE_IMAGE}
 
 ENV DEBIAN_FRONTEND=noninteractive

Thanks.

dusty_nv · July 13, 2022, 6:13pm

The docker/build.sh script automatically detects your version of JetPack-L4T and selects the appropriate base container to use (in this case nvcr.io/nvidia/l4t-pytorch:r32.6.1-pth1.9-py3)

I believe this issue is related to upgrading the docker daemon - can you try running either of these two operations:

nakayonum · July 19, 2022, 9:21am

Hi
Thanks for your message.
I’m …
“Docker fails to create container after upgrading docker on Jetpack 4.9 · Issue #108 · dusty-nv/jetson-containers · GitHub 2”
I did it according to the

However, I got the error again as follows. What should I do?

$ docker/build.sh 
ARCH:  aarch64
reading L4T version from /etc/nv_tegra_release
L4T BSP Version:  L4T R32.6.1
BASE_IMAGE=nvcr.io/nvidia/l4t-pytorch:r32.6.1-pth1.9-py3
TAG=jetson-inference:r32.6.1
selecting OpenCV for L4T R32.6.1...
OPENCV_URL=https://nvidia.box.com/shared/static/5v89u6g5rb62fpz4lh0rz531ajo2t5ef.gz
OPENCV_DEB=OpenCV-4.5.0-aarch64.tar.gz
Sending build context to Docker daemon  420.8MB
Step 1/21 : ARG BASE_IMAGE=nvcr.io/nvidia/l4t-pytorch:r32.4.3-pth1.6-py3
Step 2/21 : FROM ${BASE_IMAGE}
 ---> 9a936a937ee0
Step 3/21 : ENV DEBIAN_FRONTEND=noninteractive
 ---> Using cache
 ---> c53874b9130d
Step 4/21 : ENV SHELL /bin/bash
 ---> Using cache
 ---> 28a9fa05081c
Step 5/21 : WORKDIR /jetson-inference
 ---> Using cache
 ---> ae5b32faefed
Step 6/21 : RUN apt-get update &&     apt-get install -y --no-install-recommends             cmake 		  nano 		  lsb-release     && rm -rf /var/lib/apt/lists/*
 ---> Using cache
 ---> a3cd06ac57e9
Step 7/21 : RUN pip3 install --verbose --upgrade Cython &&     pip3 install --verbose boto3 pandas
 ---> Using cache
 ---> 26ae5e4d5a5a
Step 8/21 : ARG OPENCV_URL=https://nvidia.box.com/shared/static/5v89u6g5rb62fpz4lh0rz531ajo2t5ef.gz
 ---> Using cache
 ---> 90b443db10c7
Step 9/21 : ARG OPENCV_DEB=OpenCV-4.5.0-aarch64.tar.gz
 ---> Using cache
 ---> 1ae68e14ee55
Step 10/21 : COPY docker/containers/scripts/opencv_install.sh /tmp/opencv_install.sh
 ---> Using cache
 ---> 4606a308a0eb
Step 11/21 : RUN cd /tmp && ./opencv_install.sh ${OPENCV_URL} ${OPENCV_DEB}
 ---> Running in b989ddef900a
+ OPENCV_URL=https://nvidia.box.com/shared/static/5v89u6g5rb62fpz4lh0rz531ajo2t5ef.gz
+ OPENCV_DEB=OpenCV-4.5.0-aarch64.tar.gz
+ echo 'OPENCV_URL = https://nvidia.box.com/shared/static/5v89u6g5rb62fpz4lh0rz531ajo2t5ef.gz'
+ echo 'OPENCV_DEB = OpenCV-4.5.0-aarch64.tar.gz'
OPENCV_URL = https://nvidia.box.com/shared/static/5v89u6g5rb62fpz4lh0rz531ajo2t5ef.gz
OPENCV_DEB = OpenCV-4.5.0-aarch64.tar.gz
++ uname -i
+ ARCH=aarch64
+ echo 'ARCH:  aarch64'
+ apt-get purge -y '*opencv*'
ARCH:  aarch64
Reading package lists...
Building dependency tree...
Reading state information...
E: Unable to locate package *opencv*
E: Couldn't find any package by glob '*opencv*'
E: Regex compilation error - Invalid preceding regular expression
E: Couldn't find any package by regex '*opencv*'
+ echo 'previous OpenCV installation not found'
+ mkdir opencv
previous OpenCV installation not found
+ cd opencv
+ wget --quiet --show-progress --progress=bar:force:noscroll --no-check-certificate https://nvidia.box.com/shared/static/5v89u6g5rb62fpz4lh0rz531ajo2t5ef.gz -O OpenCV-4.5.0-aarch64.tar.gz
OpenCV-4.5.0-aarch6 100%[===================>]  78.31M  7.47MB/s    in 13s     
+ tar -xzvf OpenCV-4.5.0-aarch64.tar.gz
OpenCV-4.5.0-aarch64-dev.deb
OpenCV-4.5.0-aarch64-libs.deb
OpenCV-4.5.0-aarch64-licenses.deb
OpenCV-4.5.0-aarch64-main.deb
OpenCV-4.5.0-aarch64-python.deb
OpenCV-4.5.0-aarch64-scripts.deb
+ dpkg -i --force-depends OpenCV-4.5.0-aarch64-dev.deb OpenCV-4.5.0-aarch64-libs.deb OpenCV-4.5.0-aarch64-licenses.deb OpenCV-4.5.0-aarch64-main.deb OpenCV-4.5.0-aarch64-python.deb OpenCV-4.5.0-aarch64-scripts.deb
Selecting previously unselected package opencv-dev.
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Setting up opencv-scripts (4.5.0) ...
dpkg: opencv-libs: dependency problems, but configuring anyway as you requested:
 opencv-libs depends on libatlas3-base; however:
  Package libatlas3-base is not installed.
 opencv-libs depends on libtbb2; however:
  Package libtbb2 is not installed.
 opencv-libs depends on libtesseract4; however:
  Package libtesseract4 is not installed.

Setting up opencv-libs (4.5.0) ...
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+ dpkg -i OpenCV-4.5.0-aarch64-dev.deb OpenCV-4.5.0-aarch64-libs.deb OpenCV-4.5.0-aarch64-licenses.deb OpenCV-4.5.0-aarch64-main.deb OpenCV-4.5.0-aarch64-python.deb OpenCV-4.5.0-aarch64-scripts.deb
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/sbin/ldconfig.real: File /usr/lib/libvisionworks_tracking.so.0.88.2 is empty, not checked.
/sbin/ldconfig.real: File /usr/lib/libvisionworks.so.1.6.0 is empty, not checked.
+ rm -rf /var/lib/apt/lists/auxfiles /var/lib/apt/lists/lock /var/lib/apt/lists/partial /var/lib/apt/lists/ports.ubuntu.com_ubuntu-ports_dists_bionic-backports_InRelease /var/lib/apt/lists/ports.ubuntu.com_ubuntu-ports_dists_bionic-backports_main_binary-arm64_Packages.lz4 /var/lib/apt/lists/ports.ubuntu.com_ubuntu-ports_dists_bionic-backports_universe_binary-arm64_Packages.lz4 /var/lib/apt/lists/ports.ubuntu.com_ubuntu-ports_dists_bionic-security_InRelease /var/lib/apt/lists/ports.ubuntu.com_ubuntu-ports_dists_bionic-security_main_binary-arm64_Packages.lz4 /var/lib/apt/lists/ports.ubuntu.com_ubuntu-ports_dists_bionic-security_multiverse_binary-arm64_Packages.lz4 /var/lib/apt/lists/ports.ubuntu.com_ubuntu-ports_dists_bionic-security_restricted_binary-arm64_Packages.lz4 /var/lib/apt/lists/ports.ubuntu.com_ubuntu-ports_dists_bionic-security_universe_binary-arm64_Packages.lz4 /var/lib/apt/lists/ports.ubuntu.com_ubuntu-ports_dists_bionic-updates_InRelease /var/lib/apt/lists/ports.ubuntu.com_ubuntu-ports_dists_bionic-updates_main_binary-arm64_Packages.lz4 /var/lib/apt/lists/ports.ubuntu.com_ubuntu-ports_dists_bionic-updates_multiverse_binary-arm64_Packages.lz4 /var/lib/apt/lists/ports.ubuntu.com_ubuntu-ports_dists_bionic-updates_restricted_binary-arm64_Packages.lz4 /var/lib/apt/lists/ports.ubuntu.com_ubuntu-ports_dists_bionic-updates_universe_binary-arm64_Packages.lz4 /var/lib/apt/lists/ports.ubuntu.com_ubuntu-ports_dists_bionic_InRelease /var/lib/apt/lists/ports.ubuntu.com_ubuntu-ports_dists_bionic_main_binary-arm64_Packages.lz4 /var/lib/apt/lists/ports.ubuntu.com_ubuntu-ports_dists_bionic_multiverse_binary-arm64_Packages.lz4 /var/lib/apt/lists/ports.ubuntu.com_ubuntu-ports_dists_bionic_restricted_binary-arm64_Packages.lz4 /var/lib/apt/lists/ports.ubuntu.com_ubuntu-ports_dists_bionic_universe_binary-arm64_Packages.lz4
+ apt-get clean
+ cd ../
+ rm -rf opencv
++ python3 -c 'import sys; version=sys.version_info[:3]; print("{0}.{1}".format(*version))'
+ PYTHON3_VERSION=3.6
+ '[' aarch64 = aarch64 ']'
+ ln -s /usr/include/opencv4 /usr/local/include/opencv4
+ ln -s /usr/lib/python3.6/dist-packages/cv2 /usr/local/lib/python3.6/dist-packages/cv2
+ echo 'testing cv2 module under python...'
+ python3 -c 'import cv2; print('\''OpenCV version:'\'', str(cv2.__version__)); print(cv2.getBuildInformation())'
testing cv2 module under python...
Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "/usr/local/lib/python3.6/dist-packages/cv2/__init__.py", line 96, in <module>
    bootstrap()
  File "/usr/local/lib/python3.6/dist-packages/cv2/__init__.py", line 86, in bootstrap
    import cv2
ImportError: libcublas.so.10: cannot open shared object file: No such file or directory
The command '/bin/sh -c cd /tmp && ./opencv_install.sh ${OPENCV_URL} ${OPENCV_DEB}' returned a non-zero code: 1

dusty_nv · July 19, 2022, 12:36pm

Hi @nakayonum, are you able to run this test command inside l4t-base container?

sudo docker run -it --rm --net=host --runtime nvidia nvcr.io/nvidia/l4t-base:r32.7.1
python3 -c 'import tensorrt'

If not, something is still wrong with your container runtime or the CSV mounts, and you may want to reinstall these packages:

$ apt-cache search nvidia-container
libnvidia-container-tools - NVIDIA container runtime library (command-line tools)
libnvidia-container0 - NVIDIA container runtime library
libnvidia-container1 - NVIDIA container runtime library
nvidia-container-csv-cuda - Jetpack CUDA CSV file
nvidia-container-csv-cudnn - Jetpack CUDNN CSV file
nvidia-container-csv-tensorrt - Jetpack TensorRT CSV file
nvidia-container-csv-visionworks - Jetpack VisionWorks CSV file
nvidia-container-runtime - NVIDIA container runtime
nvidia-container-toolkit - NVIDIA container runtime hook
nvidia-container - NVIDIA Container Meta Package

Or failing that, to reflash the device so that the container runtime is working again.

nakayonum · July 20, 2022, 5:26am

Hi @dusty_nv

I tried the test command, but it was an error.

$ sudo docker run -it --rm --net=host --runtime nvidia nvcr.io/nvidia/l4t-base:r32.6.1
root@nakayo-desktop:/# python3 -c 'import tensorrt'
Traceback (most recent call last):
  File "<string>", line 1, in <module>
ModuleNotFoundError: No module named 'tensorrt'

Next, I tried reinstalling the package.

$ sudo apt-get --reinstall install libnvidia-container-tools
$ sudo apt-get --reinstall install libnvidia-container0
$ sudo apt-get --reinstall install libnvidia-container1
$ sudo apt-get --reinstall install nvidia-container-csv-cuda
$ sudo apt-get --reinstall install nvidia-container-csv-cudnn
$ sudo apt-get --reinstall install nvidia-container-csv-tensorrt
$ sudo apt-get --reinstall install nvidia-container-csv-visionworks
$ sudo apt-get --reinstall install nvidia-container-runtime
$ sudo apt-get --reinstall install nvidia-container-toolkit

So far, reinstall succeeded. But nvidia-container failed

$ sudo apt-get --reinstall install nvidia-container
Reading package lists... Done
Building dependency tree       
Reading state information... Done
Some packages could not be installed. This may mean that you have
requested an impossible situation or if you are using the unstable
distribution that some required packages have not yet been created
or been moved out of Incoming.
The following information may help to resolve the situation:

The following packages have unmet dependencies:
 nvidia-container : Depends: libnvidia-container0 (= 0.10.0+jetpack) but 0.11.0+jetpack is to be installed
                    Depends: libnvidia-container-tools (= 0.10.0+jetpack) but 1.10.0-1 is to be installed
                    Depends: nvidia-container-runtime (= 3.1.0-1) but 3.10.0-1 is to be installed
                    Depends: nvidia-container-toolkit (= 1.0.1-1) but 1.10.0-1 is to be installed
                    Depends: nvidia-docker2 (= 2.2.0-1) but 2.11.0-1 is to be installed
E: Unable to correct problems, you have held broken packages.

Here is the list of packages we use

$ apt list | grep nvidia

WARNING: apt does not have a stable CLI interface. Use with caution in scripts.

hashcat-nvidia/bionic 20170728 all
libnvidia-common-390/bionic-updates,bionic-security 390.151-0ubuntu0.18.04.1 all
libnvidia-common-418/bionic-updates 430.50-0ubuntu0.18.04.2 all
libnvidia-common-418-server/bionic-updates,bionic-security 418.226.00-0ubuntu0.18.04.2 all
libnvidia-common-430/bionic-updates,bionic-security 440.100-0ubuntu0.18.04.1 all
libnvidia-common-435/bionic-updates 455.45.01-0ubuntu0.18.04.1 all
libnvidia-common-440/bionic-updates,bionic-security 450.119.03-0ubuntu0.18.04.1 all
libnvidia-common-440-server/bionic-updates,bionic-security 450.191.01-0ubuntu0.18.04.1 all
libnvidia-common-450/bionic-updates,bionic-security 460.91.03-0ubuntu0.18.04.1 all
libnvidia-common-450-server/bionic-updates,bionic-security 450.191.01-0ubuntu0.18.04.1 all
libnvidia-common-455/bionic-updates,bionic-security 460.91.03-0ubuntu0.18.04.1 all
libnvidia-common-460/bionic-updates,bionic-security 470.129.06-0ubuntu0.18.04.1 all
libnvidia-common-460-server/bionic-updates,bionic-security 470.129.06-0ubuntu0.18.04.1 all
libnvidia-common-465/bionic-updates,bionic-security 470.129.06-0ubuntu0.18.04.1 all
libnvidia-common-470/bionic-updates,bionic-security 470.129.06-0ubuntu0.18.04.1 all
libnvidia-common-470-server/bionic-updates,bionic-security 470.129.06-0ubuntu0.18.04.1 all
libnvidia-common-495/bionic-updates,bionic-security 510.73.05-0ubuntu0.18.04.1 all
libnvidia-common-510/bionic-updates,bionic-security 510.73.05-0ubuntu0.18.04.1 all
libnvidia-common-510-server/bionic-updates,bionic-security 510.73.08-0ubuntu0.18.04.1 all
libnvidia-common-515/bionic-updates,bionic-security 515.48.07-0ubuntu0.18.04.2 all
libnvidia-common-515-server/bionic-updates,bionic-security 515.48.07-0ubuntu0.18.04.1 all
libnvidia-container-dev/bionic 1.10.0-1 arm64
libnvidia-container-tools/bionic,now 1.10.0-1 arm64 [installed]
libnvidia-container0/bionic,now 0.11.0+jetpack arm64 [installed]
libnvidia-container1/bionic,now 1.10.0-1 arm64 [installed,automatic]
libnvidia-container1-dbg/bionic 1.10.0-1 arm64
nvidia-cg-doc/bionic 3.1.0013-3 all
nvidia-container/stable 4.6-b199 arm64
nvidia-container-csv-cuda/stable,now 10.2.460-1 arm64 [installed]
nvidia-container-csv-cudnn/stable,now 8.2.1.32-1+cuda10.2 arm64 [installed]
nvidia-container-csv-tensorrt/stable,now 8.0.1.6-1+cuda10.2 arm64 [installed]
nvidia-container-csv-visionworks/stable,now 1.6.0.501 arm64 [installed]
nvidia-container-runtime/bionic,now 3.10.0-1 all [installed]
nvidia-container-toolkit/bionic,now 1.10.0-1 arm64 [installed]
nvidia-cuda/stable 4.6-b199 arm64
nvidia-cuda-doc/bionic 9.1.85-3ubuntu1 all
nvidia-cudnn8/stable 4.6-b199 arm64
nvidia-docker2/bionic 2.11.0-1 all [upgradable from: 2.8.0-1]
nvidia-jetpack/stable 4.6-b199 arm64
nvidia-l4t-3d-core/stable,now 32.6.1-20210916210945 arm64 [installed]
nvidia-l4t-apt-source/stable,now 32.6.1-20210726122859 arm64 [installed]
nvidia-l4t-bootloader/stable,now 32.6.1-20210726122859 arm64 [installed]
nvidia-l4t-camera/stable,now 32.6.1-20210916210945 arm64 [installed]
nvidia-l4t-configs/stable,now 32.6.1-20210726122859 arm64 [installed]
nvidia-l4t-core/stable,now 32.6.1-20210726122859 arm64 [installed]
nvidia-l4t-cuda/stable,now 32.6.1-20210916210945 arm64 [installed]
nvidia-l4t-firmware/stable,now 32.6.1-20210916210945 arm64 [installed]
nvidia-l4t-gputools/stable,now 32.6.1-20210726122859 arm64 [installed]
nvidia-l4t-graphics-demos/stable,now 32.6.1-20210916210945 arm64 [installed]
nvidia-l4t-gstreamer/stable,now 32.6.1-20210916210945 arm64 [installed]
nvidia-l4t-init/stable,now 32.6.1-20210916210945 arm64 [installed]
nvidia-l4t-initrd/stable,now 32.6.1-20210726122859 arm64 [installed]
nvidia-l4t-jetson-io/stable,now 32.6.1-20210726122859 arm64 [installed]
nvidia-l4t-jetson-multimedia-api/stable,now 32.6.1-20210916210945 arm64 [installed]
nvidia-l4t-kernel/stable,now 4.9.253-tegra-32.6.1-20210726122859 arm64 [installed]
nvidia-l4t-kernel-dtbs/stable,now 4.9.253-tegra-32.6.1-20210726122859 arm64 [installed]
nvidia-l4t-kernel-headers/stable,now 4.9.253-tegra-32.6.1-20210726122859 arm64 [installed]
nvidia-l4t-libvulkan/stable,now 32.6.1-20210916210945 arm64 [installed]
nvidia-l4t-multimedia/stable,now 32.6.1-20210916210945 arm64 [installed]
nvidia-l4t-multimedia-utils/stable,now 32.6.1-20210916210945 arm64 [installed]
nvidia-l4t-oem-config/stable,now 32.6.1-20210726122859 arm64 [installed]
nvidia-l4t-tools/stable,now 32.6.1-20210726122859 arm64 [installed]
nvidia-l4t-wayland/stable,now 32.6.1-20210916210945 arm64 [installed]
nvidia-l4t-weston/stable,now 32.6.1-20210916210945 arm64 [installed]
nvidia-l4t-x11/stable,now 32.6.1-20210916210945 arm64 [installed]
nvidia-l4t-xusb-firmware/stable,now 32.6.1-20210726122859 arm64 [installed]
nvidia-opencv/stable 4.6-b199 arm64
nvidia-prime/bionic-updates 0.8.16~0.18.04.1 all
nvidia-settings/bionic-updates,bionic-security 470.57.01-0ubuntu0.18.04.1 arm64
nvidia-tensorrt/stable 4.6-b199 arm64
nvidia-visionworks/stable 4.6-b199 arm64
nvidia-vpi/stable 4.6-b199 arm64

Is there a problem with package version dependencies?

nakayonum · July 20, 2022, 8:49am

Hi @dusty_nv
Do I need to do the “Building the Containers” on the following page?
https://github.com/dusty-nv/jetson-containers#docker-default-runtime

dusty_nv · July 20, 2022, 1:14pm

If you’re unable to successfully run the previous test command I gave you, then you won’t be able to build the jetson-inference container either. If you can’t get the nvidia container runtime re-installed, then I would just reflash your device rather than spending more time to try and debug it. It already comes pre-installed on the SD card image, or SDK Manager will install it for you if you are flashing over micro USB.

nakayonum · July 22, 2022, 1:22am

Hi @dusty_nv
I wanted to change the gstreamer Appsink-plugin I use within jetson-inference, so I needed to build it.
As you said, I refreshed the device.
And I had been doing “apt-get update” + “apt-get upgrade”, but by not doing this, I succeeded in the build.
Thank you very much.

dusty_nv · July 22, 2022, 1:16pm

OK great, glad that you were able to get it working @nakayonum!

system · August 10, 2022, 6:29am

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