Run TLT inside docker

[Morganh]

@p.vahidinia

docker run --runtime=nvidia -it -v /workspace/tlt/tlt-experiments:/workspace/tlt-experiments -p 8888:8888 -v /var/run/docker.sock:/var/run/docker.sock nvcr.io/nvidia/tlt-streamanalytics:v3.0-py3 /bin/bash

Above way is similar to TLT 2.0. It is possible for you to run this interactive connection.

But in TLT 3.0-dp or TLT3.0, normally you will install tlt-launcher. See https://docs.nvidia.com/tlt/tlt-user-guide/text/tlt_launcher.html. Then usually you can run tlt detectnet_v2 train xxx without an interactive session.

Or use below way mentioned in above user guide.

Once you are inside the interactive session, you may run the command task and its associated subtask by calling the <task> <subtask> <cli_args> commands without the tlt prefix.

For example, to train a detectnet_v2 model in the interactive session, run the following command after invoking an interactive session using tlt detectnet_v2