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67 × Eureka!ok so, idk why it helped, but setting base_task_id
instead of base_task_name in the pipe.add_step
function, seems to overcome this
only sometimes, the pipeline runs using local machines
WebApp: 3.16.3-949 • Server: 3.16.1-974 • API: 2.24
this is not an error per se, rather an INFO log
Hey @<1523701087100473344:profile|SuccessfulKoala55> , thanks for the quick response
I'm not sure I understand, but that might just be my lack of knowledge, to clarify:
i am running the task remotely on a worker with the --docker flag.
how can i add the root folder to PYTHONPATH?
as far as I understand, clearml is creating a new venv inside this docker, with its own python executeable, (which i don't have access to in advance)
@<1523701070390366208:profile|CostlyOstrich36>
hey john, let us know if you need any more information
Hey joey, i configured ssh locally for my pc as well, and now it works.
are you guys planning in the future a feature which will allow me to specify the connection type, without relation to what i am running locally?