y. In the second case you run a script that creates a task with

Task.create()

which creates a draft task with execution parameters, output uri etc (Nothing in configuration I assume? Please check

In the second case I only call Task.create , that specifies docker, repository, commit, script path and so on (but doesn't specify output_uri or tags . They should be set in train.py , when the Task.Init is called).

Afterwards on the remote machine task is pulled by agent (is it running in docker mode?)

I provide docker and docker_args to Task.create . I believe it means i run it in the docker mode , right?

At which point were the init params changed in the second case?

In second case the init params are not meant to be changed. They are meant to be set during execution of train.py by clearml agent. But instead they are ignored completely.