# Jetson AGX Xavier cannot start a basic docker

**URL:** <https://forums.developer.nvidia.com/t/jetson-agx-xavier-cannot-start-a-basic-docker/180233>\
**Category:** Jetson AGX Xavier\
**Tags:** docker\
**Created:** [June 9, 2021, 12:31am UTC](https://forums.developer.nvidia.com/t/jetson-agx-xavier-cannot-start-a-basic-docker/180233 "2021-06-09T00:31:23Z")\
**Posts on this page:** 9\
**Page:** 1

<div class="post-metadata">

**Author:** ![tnaduc](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/tnaduc/32/34231_2.png) [@tnaduc](https://forums.developer.nvidia.com/u/tnaduc)\
**Post date:** [June 9, 2021, 12:31am UTC](https://forums.developer.nvidia.com/t/jetson-agx-xavier-cannot-start-a-basic-docker/180233/1 "2021-06-09T00:31:23Z")

</div>

Hello,

I just got a new Jetson AGX Xavier board and tried to start a basic ml container from NGC, however, it couldn’t run.

```auto
sudo docker run -it --rm --runtime nvidia --network host nvcr.io/nvidia/l4t-ml:r32.4.4-py3
Unable to find image 'nvcr.io/nvidia/l4t-ml:r32.4.4-py3' locally
r32.4.4-py3: Pulling from nvidia/l4t-ml
e74fe6ef6bd6: Already exists 
7dcdd1c8f1d2: Already exists 
148ea20d31e0: Already exists 
fbc4cd4d050b: Already exists 
a21b0b3d8206: Already exists 
4ba0c94f9855: Already exists 
6fb19c1062d0: Already exists 
84ff17ad4b18: Already exists 
5ac903fdc4a8: Already exists 
ecf00917e120: Already exists 
30d000a9cd22: Already exists 
a26b515ffe8f: Already exists 
a199cb2dd71e: Already exists 
c4f4e0f882d3: Already exists 
3e956de9ea4b: Already exists 
e26b78d1aaed: Already exists 
ac42496d0bc2: Already exists 
7db2983f5802: Already exists 
7caf5120c657: Pull complete 
515bee6e4e21: Pull complete 
665a812071a4: Pull complete 
fa149c1c8827: Pull complete 
f159a33bd92b: Pull complete 
9d574cc5f4bd: Pull complete 
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871ab20f86fa: Pull complete 
42382b377b81: Pull complete 
355caf84fb48: Pull complete 
08daa9581bc5: Pull complete 
f31b8c487ed8: Pull complete 
Digest: sha256:c3c1ebea04bbb428e50480b52c06af03b7172fbda1d5309c60f735f9e0797663
Status: Downloaded newer image for nvcr.io/nvidia/l4t-ml:r32.4.4-py3
docker: Error response from daemon: OCI runtime create failed: container_linux.go:367: starting container process caused: process_linux.go:495: container init caused: Running hook #0:: error running hook: exit status 1, stdout: , stderr: nvidia-container-cli: initialization error: driver error: failed to process request: unknown.

```

Here is basic info about the board:

```auto
 - NVIDIA Jetson AGX Xavier [16GB]
   * Jetpack 4.4 [L4T 32.4.3]
   * NV Power Mode: MODE_30W_ALL - Type: 3
   * jetson_stats.service: active
 - Libraries:
   * CUDA: 10.2.89
   * cuDNN: 8.0.0.180
   * TensorRT: 7.1.3.0
   * Visionworks: 1.6.0.501
   * OpenCV: 4.1.1 compiled CUDA: NO
   * VPI: 0.3.7
   * Vulkan: 1.2.70

```

Docker:

```auto
Client: Docker Engine - Community
 Version: 20.10.5
 API version: 1.41
 Go version: go1.13.15
 Git commit: 55c4c88
 Built: Tue Mar 2 20:18:54 2021
 OS/Arch: linux/arm64
 Context: default
 Experimental: true

Server: Docker Engine - Community
 Engine:
  Version: 20.10.5
  API version: 1.41 (minimum version 1.12)
  Go version: go1.13.15
  Git commit: 363e9a8
  Built: Tue Mar 2 20:16:53 2021
  OS/Arch: linux/arm64
  Experimental: false
 containerd:
  Version: 1.4.4
  GitCommit: 05f951a3781f4f2c1911b05e61c160e9c30eaa8e
 runc:
  Version: 1.0.0-rc93
  GitCommit: 12644e614e25b05da6fd08a38ffa0cfe1903fdec
 docker-init:
  Version: 0.19.0
  GitCommit: de40ad0

```

Docker runtime:

```auto
cat /etc/docker/daemon.json
{
    "runtimes": {
        "nvidia": {
            "path": "nvidia-container-runtime",
            "runtimeArgs": []
        }
    }
}

```

It runs perfectly fine with my Jetson nano and Jetson Tx2

---

<div class="post-metadata">

**Author:** ![AastaLLL](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/aastalll/32/14043_2.png) [@AastaLLL](https://forums.developer.nvidia.com/u/AastaLLL)\
**Post date:** [June 9, 2021, 4:38am UTC](https://forums.developer.nvidia.com/t/jetson-agx-xavier-cannot-start-a-basic-docker/180233/3 "2021-06-09T04:38:29Z")

</div>

Hi,

Your environment is r32.4.3.  
Could you give below container a try?

```auto
$ sudo docker run -it --rm --runtime nvidia --network host nvcr.io/nvidia/l4t-ml:r32.4.3-py3

```

Thanks.

---

<div class="post-metadata">

**Author:** ![tnaduc](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/tnaduc/32/34231_2.png) [@tnaduc](https://forums.developer.nvidia.com/u/tnaduc)\
**Post date:** [June 9, 2021, 4:45am UTC](https://forums.developer.nvidia.com/t/jetson-agx-xavier-cannot-start-a-basic-docker/180233/4 "2021-06-09T04:45:53Z")

</div>

Thanks @AastaLLL for looking into this. I just have a quick try, it still returned the same error:

```auto
 sudo docker run -it --rm --runtime nvidia --network host nvcr.io/nvidia/l4t-ml:r32.4.3-py3
Unable to find image 'nvcr.io/nvidia/l4t-ml:r32.4.3-py3' locally
r32.4.3-py3: Pulling from nvidia/l4t-ml
c796196a5194: Pulling fs layer 
9f1f9f625de3: Pulling fs layer 
692bb77a7fc0: Pulling fs layer 
7c6fea64666e: Pulling fs layer 
2e07510b3b6f: Pulling fs layer 
f3cef679c558: Pull complete 
01067c06de71: Pull complete 
607a871f53a8: Pull complete 
77c272c815a4: Pull complete 
d6e9ae6c556e: Pull complete 
6c31b14f8325: Pull complete 
da342f04dbe2: Pull complete 
bc1f73093866: Pull complete 
801ec5982390: Pull complete 
20f4f4b58bf1: Pull complete 
998db3ceb21f: Pull complete 
8f6eafd35194: Pull complete 
c3cf45f768ae: Pull complete 
7b3abe05cce9: Pull complete 
8977efcd7cb6: Pull complete 
5fa352cd64d8: Pull complete 
f858db5ee73c: Pull complete 
c25066acf55c: Pull complete 
cee7c26afb29: Pull complete 
e95be1d362be: Extracting [==================================================>] 307MB/307MB
e95be1d362be: Pull complete 
493dda69c3c8: Pull complete 
8e6fc188d98a: Pull complete 
8ca5b0b1221c: Pull complete 
e927bc5b62ba: Pull complete 
c62d62d4b6d8: Pull complete 
cd1b219d0452: Pull complete 
3604ec2ef5ba: Pull complete 
48514e1a3709: Pull complete 
f0491a7196f1: Pull complete 
b68bcdfc7c06: Pull complete 
356c673f0194: Pull complete 
Digest: sha256:61de72a4d5c34841c2135004f52b6813101610a4829817d93b8736298cc9ac39
Status: Downloaded newer image for nvcr.io/nvidia/l4t-ml:r32.4.3-py3
docker: Error response from daemon: OCI runtime create failed: container_linux.go:367: starting container process caused: process_linux.go:495: container init caused: Running hook #0:: error running hook: exit status 1, stdout: , stderr: nvidia-container-cli: initialization error: driver error: failed to process request: unknown.

```

---

<div class="post-metadata">

**Author:** ![ozguryildiz](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/ozguryildiz/32/72318_2.png) [@ozguryildiz](https://forums.developer.nvidia.com/u/ozguryildiz)\
**Post date:** [June 9, 2021, 7:08am UTC](https://forums.developer.nvidia.com/t/jetson-agx-xavier-cannot-start-a-basic-docker/180233/5 "2021-06-09T07:08:17Z")

</div>

Hello @tnaduc ,

Can you try it with newer image?

> sudo docker run -it --rm --runtime nvidia --network host [nvcr.io/nvidia/l4t-ml:r32.5.0-py3](http://nvcr.io/nvidia/l4t-ml:r32.5.0-py3)

Regards.

---

<div class="post-metadata">

**Author:** ![tnaduc](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/tnaduc/32/34231_2.png) [@tnaduc](https://forums.developer.nvidia.com/u/tnaduc)\
**Post date:** [June 9, 2021, 7:23am UTC](https://forums.developer.nvidia.com/t/jetson-agx-xavier-cannot-start-a-basic-docker/180233/6 "2021-06-09T07:23:16Z")

</div>

> [@ozguryildiz](#):
>
> sudo docker run -it --rm --runtime nvidia --network host [nvcr.io/nvidia/l4t-ml:r32.5.0-py3](http://nvcr.io/nvidia/l4t-ml:r32.5.0-py3)

Hi @ozguryildiz ,

Thank you for your advice, I tried it, still the same result

```auto
sudo docker run -it --rm --runtime nvidia --network host nvcr.io/nvidia/l4t-ml:r32.5.0-py3
[sudo] password for mic-730ai: 
Unable to find image 'nvcr.io/nvidia/l4t-ml:r32.5.0-py3' locally
r32.5.0-py3: Pulling from nvidia/l4t-ml
5000a6c32c5a: Pull complete 
8e855b69096a: Pull complete 
8db8dbbd4bb9: Pull complete 
833dc3235950: Pull complete 
f79d264135a3: Pull complete 
1c40f77bb35b: Pull complete 
1990ecf0bfb7: Pull complete 
c8ffbfd7f0aa: Pull complete 
ba785779122a: Pull complete 
024ce79b6790: Pull complete 
9b09da3b5483: Pull complete 
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50b80108db64: Pull complete 
800ad6d6d249: Pull complete 
a5297af96097: Pull complete 
5d3a862a0013: Pull complete 
418524dee780: Pull complete 
Digest: sha256:af8155d948946e76fb398a93a726ee4e4f06a69574284a8bc8929f0731efdc61
Status: Downloaded newer image for nvcr.io/nvidia/l4t-ml:r32.5.0-py3
docker: Error response from daemon: OCI runtime create failed: container_linux.go:367: starting container process caused: process_linux.go:495: container init caused: Running hook #0:: error running hook: exit status 1, stdout: , stderr: nvidia-container-cli: initialization error: driver error: failed to process request: unknown.

```

The same for the lt4 base:

```auto
sudo docker run -it --rm --net=host --runtime nvidia -e DISPLAY=$DISPLAY -v /tmp/.X11-unix/:/tmp/.X11-unix nvcr.io/nvidia/l4t-base:r32.4.3
docker: Error response from daemon: OCI runtime create failed: container_linux.go:367: starting container process caused: process_linux.go:495: container init caused: Running hook #0:: error running hook: exit status 1, stdout: , stderr: nvidia-container-cli: initialization error: driver error: failed to process request: unknown.

```

---

<div class="post-metadata">

**Author:** ![ozguryildiz](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/ozguryildiz/32/72318_2.png) [@ozguryildiz](https://forums.developer.nvidia.com/u/ozguryildiz)\
**Post date:** [June 9, 2021, 7:28am UTC](https://forums.developer.nvidia.com/t/jetson-agx-xavier-cannot-start-a-basic-docker/180233/7 "2021-06-09T07:28:00Z")

</div>

Hello @tnaduc ,

Please type the below command and check what it happens.

> sudo apt-get update && sudo apt-get install -y nvidia-container-toolkit

Hope it works.

---

<div class="post-metadata">

**Author:** ![tnaduc](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/tnaduc/32/34231_2.png) [@tnaduc](https://forums.developer.nvidia.com/u/tnaduc)\
**Post date:** [June 9, 2021, 10:45am UTC](https://forums.developer.nvidia.com/t/jetson-agx-xavier-cannot-start-a-basic-docker/180233/8 "2021-06-09T10:45:43Z")

</div>

Hi @ozguryildiz , thank you.  
Tried that and still having same outcome. :(

---

<div class="post-metadata">

**Author:** ![ozguryildiz](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/ozguryildiz/32/72318_2.png) [@ozguryildiz](https://forums.developer.nvidia.com/u/ozguryildiz)\
**Post date:** [June 9, 2021, 1:01pm UTC](https://forums.developer.nvidia.com/t/jetson-agx-xavier-cannot-start-a-basic-docker/180233/9 "2021-06-09T13:01:57Z")

</div>

Can you check this post?

> [@Docker: Error response from daemon: OCI runtime create failed](https://forums.developer.nvidia.com/t/docker-error-response-from-daemon-oci-runtime-create-failed/175175/3):
>
> It’s a known issue on WIP 21354 that is semi-fixed on 21359. Even then, you have to stop WSL from doing a driver version check by using a NVIDIA\_DISABLE\_REQUIRE=1 environment variable, as per ch14ota’s link below. E.g.: docker run --gpus all --env NVIDIA\_DISABLE\_REQUIRE=1 [nvcr.io/nvidia/k8s/cuda-sample:nbody](http://nvcr.io/nvidia/k8s/cuda-sample:nbody) nbody -gpu -benchmark Good luck!

---

<div class="post-metadata">

**Author:** ![system](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/system/32/68080_2.png) [@system](https://forums.developer.nvidia.com/u/system)\
**Post date:** [June 23, 2021, 1:06am UTC](https://forums.developer.nvidia.com/t/jetson-agx-xavier-cannot-start-a-basic-docker/180233/11 "2021-06-23T01:06:09Z")

</div>

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