Please provide complete information as applicable to your setup.
• Hardware Platform: (Jetson)
• DeepStream Version: 6.2
• JetPack Version (valid for Jetson only): 5.1.2
• TensorRT Version: r8.5.2.2-runtime
• Issue Type: error
I’m trying to build the deepstream container as described in this NVIDIA guide.
I want to build it in an x86/64 Ubuntu and after building it, convert it to a .tar image and move it into a Jetson Nano and run it there. By starting the build using the command docker build --network=host -t deepstream_image:jetson
I get the error below:
=> => transferring dockerfile: 5.22kB 0.0s
=> [internal] load .dockerignore 0.0s
=> => transferring context: 2B 0.0s
=> ERROR [internal] load metadata for nvcr.io/nvidia/l4t-tensorrt:r8.5.2.2-runtime 4.0s
=> [auth] nvidia/l4t-tensorrt:pull,push token for nvcr.io 0.0s
------
> [internal] load metadata for nvcr.io/nvidia/l4t-tensorrt:r8.5.2.2-runtime:
------
Jetson_Dockerfile_Base:16
--------------------
14 | # Use L4T tensorrt docker listed on https://catalog.ngc.nvidia.com/orgs/nvidia/containers/l4t-tensorrt/tags
15 | # Use r8.5.2.2 for DS 6.2.0
16 | >>> FROM nvcr.io/nvidia/l4t-tensorrt:r8.5.2.2-runtime
17 |
18 | #Install vpi-dev and vpi-lib
--------------------
ERROR: failed to solve: nvcr.io/nvidia/l4t-tensorrt:r8.5.2.2-runtime: nvcr.io/nvidia/l4t-tensorrt:r8.5.2.2-runtime: not found
Why does this happen and how to fix it?