How can I create my custom containers for Jetson Nano

Autonomous Machines Jetson & Embedded Systems Jetson Nano
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21

hi @dusty_nv,
now the standard image construction works, but retring with the other one I get this error

Building l4t-ml:r32.5.0-py3 container…
Sending build context to Docker daemon 452.6kB
Step 1/36 : ARG BASE_IMAGE=nvcr.io/nvidia/l4t-base:r32.5.0
Step 2/36 : ARG PYTORCH_IMAGE
Step 3/36 : ARG TENSORFLOW_IMAGE
Step 4/36 : FROM ${PYTORCH_IMAGE} as pytorch
pull access denied for l4t-pytorch, repository does not exist or may require ‘docker login’: denied: requested access to the resource is denied

thank’s for Your help

22

Are you trying to build l4t-ml? If so, you need to build l4t-pytorch and l4t-tensorflow too. Or change the references in scripts/docker_build_ml.sh to be prefixed nvcr.io/nvidia/ the same way you did before.

23

Hi @dusty_nv, now it works many thanks!