MuddyCrab47 could you post the full sample code you are using?

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

Hi OddAlligator72

for instance - remove all the metrics from some step onward? 

(I think that as long as the Task is not published you could do such a thing directly with the RestAPI (aka APIClient from python)
What's the use case?

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 ?

DefeatedCrab47 yes that is correct. I actually meant if you see it on the tensorboard's UI 🙂
Anyhow if it there, you should find it in the Tasks Results Debug Samples

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.

Then in theory (since the backend is python based) you just need to find a base docker image to build it on.

It's a good abstraction for monitoring the state of the platform and call backs, if this is what you are after.
If you just need "simple" cron, then you can always just loop/sleep 🙂

JitteryCoyote63 maybe this is an old example of the pytrorch ddp code? it is basically copy pasted from the pytorch website:
https://pytorch.org/tutorials/intermediate/dist_tuto.html

Hi JitteryCoyote63

I change the project.default_output_destination? I tried setting it to None but it is not updated

How did yo try to change it? and where do you see the effect ?

Should I use 

update_weights_package

Yes
BTW, config.pbtxt you should pass when "registering" the endpoint with the CLI

Are you running inside a kubernetes cluster ?

Sorry, I mean a vault on the clearml-server holding the credentials per user, then agent pulls it based on the user, and it is transparent from the user perspective

OddShrimp85 you can see the full configuration at the top of the Task log. What do you have there? Also what is the clearml python version?

Notice both needs to be str
btw, if you need the entire folder just use StorageManager.upload_folder

Hmm interesting, is it a drop in replacement to poetry ?