I have the latest clearml version fresh from PyPi

and latest pre release hydra

the ok() call seem to crash

yes that's what I meant.. this is good, thanks

thanks SuccessfulKoala55 , the question arose after trying to follow the instructions you attached. it seems that installing a docker on windows 10 Home is somewhat problematic

I'm doing this instead

is there a built in programmatic way to adjust development.default_output_uri ?

I refer to all the info that accessible through the webApp

by communication that the artifacts are streamed from the machine running the experiments to the local server?
can it be done "offline" after the experiments run view them in my local server?

cool, AgitatedDove14 so just to confirm:
To get the desired behavior, uploading artifacts on import_offline_session
The needed action is: setting the development.default_output_uri in the offline machine run (and nothing else?)

I think the latter. the specific use-case I'm talking about is running experiments on one machine, and using a local server on another machine to read the "logs" \ artifacts

awesome!

edit: tweaked it a little bit for my use-case:
is_demo_server = ' http://demoapi.trains.allegro.ai ' in Session.get_api_server_host()
is_server_available = requests.get(Session.get_api_server_host() + "/debug.ping").status_code == 200

AgitatedDove14 it is happening on an offline network, would be tricky to set it up we will try. so far the errors we observed were either:
Calling upload callback when starting upload: maximum recursion depth exceeded
Or
something like pending for upload (might be because we archived a run while it was uploading)

Hi AgitatedDove14 the thing I had in mind is having access to trains logger exclusive features like the https://allegro.ai/docs/logger.html#trains.logger.Logger.report_plotly and .report_table for example.. It can be done by explicitly getting the trains default logger, but I was wondered if there is some kind of combined interface to capture properties of both in one object especially because I came across the deprecated TrainsLogger

yes I will be happy to, its gonna be my first time

thanks!

TypeError: 'bool' object is not callable

?

and I will also be happy to see if I can contribute maybe to this specific feature or maybe others

Thanks AgitatedDove14 , well if a machine doesn't set the default_output_uri, the default behavior for model checkpoints for example is to just register without uploading. So in the case that the default_output_uri is not defined the offline task folder will not have the artifacts for uploading (not included in the zip file created by offline package).. or am I missing something?

"does not support running with no server connection." this is what I was afraid of..I'll need to figure out if I can use trains at all 😞

it worked!

much appreciated, thanks!

great, I'm going to give it a try

sounds great 🙂

yes, I have limited access to the machine that is running the experiment. I can't setup a server there. but I want to collect the results and view them later

by WebApp you mean the public online one? I might be confusing stuff

Hi AgitatedDove14 , regarding the slider feature, do you know when would it be released?

so it sounds like there is no known issue related to this