Can't pull docker container

Robotics & Edge Computing Jetson & Embedded Systems Jetson Nano
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1

Hello, everyone!
I have Jetson nano 2Gb, image for 4.4.1 version and sd card with 64Gb.
I’m taking"Getting Started with AI on Jetson Nano" and trying to pull docker container.
in the tutorial for beginners ( Your First Jetson Container), it is suggested to pull docker container.
sudo docker pull nvcr.io/nvidia/l4t-base:r32.4.3
and it works good.
But when I try to pull docker container from course, it’s failed.

$ sudo docker run --runtime nvidia -it --rm --network host   --volume ~/nvdli-data:/nvdli-nano/data     --volume /tmp/argus_socket:/tmp/argus_socket    --device /dev/video0    nvcr.io/nvidia/dli/dli-nano-ai:v2.0.1-r32.4.4
Unable to find image 'nvcr.io/nvidia/dli/dli-nano-ai:v2.0.1-r32.4.4' locally
v2.0.1-r32.4.4: Pulling from nvidia/dli/dli-nano-ai
e74fe6ef6bd6: Pull complete
7dcdd1c8f1d2: Pull complete
148ea20d31e0: Pull complete
fbc4cd4d050b: Extracting  172.3MB/172.3MB
e74fe6ef6bd6: Downloading  17.04MB/24.56MB
4ba0c94f9855: Pulling fs layer
6fb19c1062d0: Pulling fs layer
84ff17ad4b18: Pulling fs layer
5ac903fdc4a8: Download complete
ecf00917e120: Download complete
30d000a9cd22: Download complete
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a199cb2dd71e: Download complete
c4f4e0f882d3: Download complete
3e956de9ea4b: Download complete
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ac42496d0bc2: Download complete
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e0d1fc183e52: Download complete
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docker: failed to register layer: lstat /var/lib/docker/overlay2/fda754955e54359f9ece1e847ac6212d3b64721e24ad54c07893ab7097e7e89b/diff/usr/lib/python2.7/sched.py: structure needs cleaning.
See 'docker run --help'.

Also about my system

$free -m
total used free shared buff/cache available
Mem: 1979 495 404 28 1080 1367
Swap: 9181 0 9181
uname -a
Linux linux 4.9.140-tegra #1 SMP PREEMPT Fri Oct 16 12:32:46 PDT 2020 aarch64 aarch64 aarch64 GNU/Linux

$ sudo docker info
Client:
 Debug Mode: false

Server:
 Containers: 0
  Running: 0
  Paused: 0
  Stopped: 0
 Images: 0
 Server Version: 19.03.6
 Storage Driver: overlay2
  Backing Filesystem: extfs
  Supports d_type: true
  Native Overlay Diff: true
 Logging Driver: json-file
 Cgroup Driver: cgroupfs
 Plugins:
  Volume: local
  Network: bridge host ipvlan macvlan null overlay
  Log: awslogs fluentd gcplogs gelf journald json-file local logentries splunk syslog
 Swarm: inactive
 Runtimes: nvidia runc
 Default Runtime: runc
 Init Binary: docker-init
 containerd version:
 runc version:
 init version:
 Security Options:
  seccomp
   Profile: default
 Kernel Version: 4.9.140-tegra
 Operating System: Ubuntu 18.04.5 LTS
 OSType: linux
 Architecture: aarch64
 CPUs: 4
 Total Memory: 1.933GiB
 Name: linux
 ID: 2EER:H7KP:OJ3O:3TLA:6NET:QILN:WPXH:TKDP:NSQV:BONZ:5VZQ:ZU65
 Docker Root Dir: /var/lib/docker
 Debug Mode: false
 Registry: https://index.docker.io/v1/
 Labels:
 Experimental: false
 Insecure Registries:
  127.0.0.0/8
 Live Restore Enabled: false
3

Hi,

Could you check your storage status and share the log with us first?

$ df -h

Thanks.

4 
$  df -h
Filesystem      Size  Used Avail Use% Mounted on
/dev/mmcblk0p1   62G   23G   37G  39% /
none            952M     0  952M   0% /dev
tmpfs           990M  4.0K  990M   1% /dev/shm
tmpfs           990M   30M  961M   3% /run
tmpfs           5.0M  4.0K  5.0M   1% /run/lock
tmpfs           990M     0  990M   0% /sys/fs/cgroup
tmpfs           198M   16K  198M   1% /run/user/120
tmpfs           198M     0  198M   0% /run/user/1000
5

Hi,

Sorry for the late update.

Is it possible that the filesystem is used by someone else? (ex. another app?)
To confirm this, would you mind to reflash the Nano 2GB and pull the docker again?

Thanks.

6

Thank you, I’ve already decided this problem. I use another SD card, and it works correct. My old SD card hasn’t enough memory, I see it in test

7

Good to know it works now.
Thanks.