(it works now, with 20 GB)

SuccessfulKoala55

Happens on my Firefox aswell

We try to break up every thing into independent tasks and group them using a pipeline. The dependency on an agnet caused an unnecessary overhead since we just want to execute locally. It became a burden once new data scientists join the project and instead of just telling them "yeah, just execute this script" you have to now teach them about clearml, the role of agents, how to launch them, how they behave, how to remove them and stuff like that... things you want to avoid with data scientists

Still happens

👍

👍

how do I run this wizard? is this wizard train's or aws's?

That's a fix, but I think it is a basic feature and very usefull to see the actual code in the UI

happens on my phone as well :man-facepalming:

Sorry.. I still don't get it - when I'm launching an agent with the --docker flag or with the --services-mode flag, what is the difference? Can I use both flags? what does it mean? 🤔

even if it is so

Thanks 🙂

I was refering to what is the returned object of Task.artifacts['...'] - when I call .get I understand what I get, I'm asking because I want to see how the object I'm calling .get on behaves

If you want we can do live zoom or something so you can see what happens

I dont think that has to do anything with the value zero, the lines that should come out of 'mean' and 'median' have the value of None under quantile, but have a dre_0.5 assoxiated with them. those lines appear in the notebook and not in the ui

thx martin

I'll try

is it possible to access the children tasks of the pipeline from the pipeline object?

SuccessfulKoala55 , I get a list of 1 value. This value is a dictionary which has the keys type header and cells . cells is a dictionary in itself which has the keys height values align line font

SuccessfulKoala55 this actually doesn't work

` apiserver_conf = ConfigFactory.parse_file(API_SERVER_CONF_PATH)

POINT 1

conf_content = HOCONConverter.to_hocon(config=ConfigFactory.from_dict(apiserver_conf.as_plain_ordered_dict()),
compact=False,
level=0, indent=2)

apiserver_conf['auth']['fixed_users']['users'].append(
ConfigFactory.from_dict({'username': username, 'password': password, 'name': name}))

##...

I guess not many tensorflowers running agents around here if this wasn't brought up already

I followed the upgrading still nothing

or its the same palce in the config file for configuring the docker mode agent base image?

👍

SuccessfulKoala55

Switching to a VPN solves this, just saying 😕

iwhat if

Thx DangerousDragonfly8 💪

very cool