HealthyStarfish45 could you take a look at the code, see if it makes sense to you?
What I'm getting to, is maybe we build a template, then you could fill in the gaps ?

Hi AntsySeagull45
Any chance the original code was running with python2?
Which version of trains-agent are you using?

ConvolutedChicken69
basically the cleamrl-data needs to store an immutable copy of the delta changes per version, if the files are already uploaded, there is a good chance they could be modified...
So in order to make sure we you have a clean immutable copy, it will always upload the data (notice it also packages everything into a single zip file, so it is easy to manage).

Hmm that is odd, it seemed to missed the fact this is a jupyter notbook.
What's the clearml version you are using ?

Hi WhimsicalLion91
https://allegro.ai/docs/logger.html#trains.logger.Logger.report_line_plot

https://github.com/allegroai/trains/blob/master/examples/reporting/scatter_hist_confusion_mat_reporting.py

BTW: the new pipeline decorator interface example is here:
https://github.com/allegroai/clearml/blob/master/examples/pipeline/pipeline_from_decorator.py

Yep only in 1.7 🙂

Okay, I'm pretty sure there is a hack, let me see if there is something "nicer"

Hi FlatOctopus65
You are almost there
prev_task: Task = Task.get_task(task_id=<prev_task_id_here>) model = prev_task.models['output'][-1] my_check_point = model.get_local_copy()

SourOx12
Hmmm. So if last iteration was 75, the next iteration (after we continue) will be 150 ?

See here:
https://download.pytorch.org/whl/torch_stable.html
cu110/* has no torch 1.3.1 only 1.7.0

We listen to you guys 🙂

This is odd , and it is marked as failed ?
Are all the Tasks marked failed, or is it just this one ?

Hmm can you run:
docker run -it allegroai/clearml-agent-services:latest

okay thanks! let's pick it up on github 🙂

Hi @<1533257411639382016:profile|RobustRat47>
sorry for the delay,

Hi when we try and sign up a user with github.

wait, where are you getting this link?

Hi IrateBee40
What do you have in your ~/clearml.conf ?
Is it pointing to your clearml-server ?

check if the fileserver docker is running with docker ps

Sure thing :)
BTW could you maybe PR this argument (marked out) so that we know for next time?

Say here:
https://github.com/allegroai/clearml-agent/blob/5a6caf6399a0128ad81e8723d0a847e2ded5b75e/docs/clearml.conf#L287

thanks!

VictoriousPenguin97 basically spin down sereverA (this should flush all DBs) then copy /opt/clearml to the new server and spin it with docker-compose. As long as the new server is on the same address as the previous one, everything should work out of the box

TrickyRaccoon92 I didn't know that 🙂
where did you try to add it? did you report a plotly figure or is it with report_???

TenseOstrich47 every agent instance has its own venv copy. Obviously every new experiment will remove the old venv and create a new one. Make sense?

pip install clearml==0.17.5rc4

I came across it before but thought its only relevant for credentials

We are working on improving the docs, hopefully it will get clearer 😉

Hi GrievingTurkey78 ,
Yes this is a per file download, but I think you can list the bucket and download everything
Try:
from trains import StorageManager from trains.storage.helper import StorageHelper helper = StorageHelper.get('gs://bucket/folder') remote_files = helper.list('*') for f in remote_files: StorageManager.get_local_copy(f)

2. ...that file and the logs of the agent service always say the same thing as before:

Oh in that case you need feel in Your credentials here:
https://github.com/allegroai/clearml-server/blob/5de7c120621c2831730e01a864cc892c1702099a/docker/docker-compose.yml#L137
Basically CLEARML_API_ACCESS_KEY / CLEARML_API_SECRET_KEY will let the agent running inside the docker talk to the server itself. Just put your own credentials there as a start, it should solve the issue

Just fixed, will be merged later, basically some field you are not supposed to change post execution (but system tags should be exempt from that). The SDK checks before the backend does, so you get a nice error 🙂 anyhow the backend will obviously allow it

Thanks RobustRat47 !
Should we put somewhere this requirement ? (i.e. nvidia drivers) ?
Is this really a must ?

RobustSnake79 this one seems like scalar type graph + summary table, correct?
BTW: I'm not sure how to include the "Recommendation" part 🙂