CloudySwallow27 okay essentially this defs file is kind of a user "secret vault" for access credentials, is that correct?

Yes, though the main caveat is the data is not really immutable 😞

Yep, you are right

BTW: which clearml version are you using ?
(I remember there was a change in the last one, or the one before, making the config loading differed until accesses)

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

I will probably just use everywhere an absolute path to be robust against different machine user accounts: /home/user/trains.conf

That sounds like good practice

Other than the wrong, trains.conf, I can't think of anything else... Well maybe if you have AWS environment variables with credentials ? they will override the conf file

maybe we should add some ENV setting it? (I'm not sure we should disable SSL for all S3 connections... so somehow specify the mino it should use http with)

Hi JitteryCoyote63
Could it be a python mismatch ? can you send the full log?
BTW: when I do
pip3.8 install pytorch3d==I get the following versions:
pytorch3d== (from versions: 0.0.1, 0.1.1, 0.2.0, 0.2.5, 0.3.0)

There seems to be a problem with multiprocessing: Although I stopped the task,

You mean you "aborted the task" from the UI?

• There is a memory leak somewhere, please see the screenshot of datadog memory consumptionI'm assuming from the leftover processes ?

Python 3.8/Pytorch 1.11/clearml-sdk 1.9.0/clearml-agent 1.4.1

From the log I see the agent is running in venv mode
Hmm please try with the latest clearml-agent (the others should not have any effect)

SubstantialElk6 this is odd, how are they passed ? what's the exact setup ?

HugeArcticwolf77 actually it is more than that, you can embed the graphs now in the markdown, when you hove over any plot/graph/image you now have a new button that copies the embed test, so that you can directly copy it into your markdown editor (internal or external)
More documentation and screenshots are coming after the holiday, mean time you can check:
https://clear.ml/docs/latest/docs/webapp/webapp_reports
https://clear.ml/docs/latest/assets/images/webapp_report-695dddd2ec8064938bf8...

ImmensePenguin78
I think the latest RC adds it, should be released later today 🙂

Hi OutrageousGrasshopper93
I think that what you are looking for is Task.import_task and Task.export
https://allegro.ai/docs/task.html#trains.task.Task.import_task
https://allegro.ai/docs/task.html#trains.task.Task.export_task

Hm GiganticTurtle0 let me check quickly it

UnevenDolphin73 FYI: clearml-data is documented , unfortunately only in GitHub:
https://github.com/allegroai/clearml/blob/master/docs/datasets.md

Just a bit of background, the execute)remotely will kill the current process (after the Task is synced) and enqueue the Task that was created for remote execution. What seems to fail is actually killing the current process. You can just pass exit_process=False

ColorfulBeetle67 you might need to configure use_credentials_chain see here:
https://github.com/allegroai/clearml/blob/a9774c3842ea526d222044092172980ae505e24f/docs/clearml.conf#L85
Regrading the Token, I did not find any reference to "AWS_SESSION_TOKEN" in the clearml code, my guess it is used internally by boto?!

Since I'm assuming there is no actual task to run, and you do not need to setup the environment (is that correct?)
you can do:
$ CLEARML_OFFLINE_MODE=1 python3 my_main.pywdyt?

correct (i.e. not frontend)

Nice! TrickySheep9 any chance you can share them ?

can you bump me to that thread?

https://clearml.slack.com/archives/CTK20V944/p1630610430171200

I realise I'll need to catalogue all the dataset ids created by ppl separately on a spreadsheet.

Okay this part I missed, why would you need to add additional "catalog" when you have the UI?

Thanks !!!

any idea why i cannot selected text inside the table?

Ichh, seems again like plotly 😞 I have to admit quite annoying to me as well ... I would vote here: None

Will be shortly released with news RC :)

Thanks OutrageousGrasshopper93
I will test it "!".
By the way the "!" is in the project or the Task name?

LOL love that approach.
Basically here is what I'm thinking,
` from clearml import Task, InputModel, OutputModel

task = Task.init(...)

run this part once

if task.running_locally():
my_auxiliary_stuff = OutputModel()
my_auxiliary_stuff.system_tags = ["DATA"]
my_auxiliary_stuff.update_weights_package(weights_path="/path/to/additional/files")
input_my_auxiliary = InputModel(model_id=my_auxiliary_stuff.id)
task.connect(input_my_auxiliary, "my_auxiliary")

task.execute_remotely()
my_a...

Hi @<1556450111259676672:profile|PlainSeaurchin97>
You mean instead of the parallel coordinates ?
None

obviously http://app.trains.domain.com will also work

We suddenly have a need to setup our logging after every

task.close()

Hmm that gives me a handle on things, any chance it is easily reproducible ?

AdventurousRabbit79 you are correct, caching was introduced in v1.0 , also notice the default is no caching, you have to specify that you want caching per step.