store_code_diff_from_remote

 don't seem to change anything in regards of this issue

Correct, it is always from remote

i'll be using the update_task, that worked just fine, thanks 

 (edite

Sure thing.

ShakyJellyfish91 , I took a quick look at the diff between the versions can you hack a non working version (preferably the latest) and verify the issue for me?

OutrageousGrasshopper93 is "--gpus all" working ?

Hi @<1639799308809146368:profile|TritePigeon86>
Sounds awesome, how can we help?

Are you sure trains-server not trains package (i.e. backend)

FreshReindeer51
Could you provide some logs ?

How can I add additional information, e.g. debug samples, or scalar to the data to be shown in the UI?  Logger.current_logger() is not working

Yes 🙂
dataset.get_logger() to the rescue

is it planned to add a multicursor in the future?

CheerfulGorilla72 can you expand? what do you mean by multicursor ?

SpotlessFish46 So the expected behavior is to have the single script inside the diff, but you get empty string ?

Okay, checking...

Hi CheerfulGorilla72
see
Notice all posts on that channel are @ channel 🙂

Whoa, are you saying there's an autoscaler that

doesn't

use EC2 instances?...

Just to be clear the ClearML Autoscaler (aws) will spin instances up/down based on jobs in the queue it is listening to (the type of EC2 instances and configuration is fully configurable)

Hi TrickyRaccoon92

TKinter

 is suddenly used as backend, and instead of writes to the dashboard I get popups per figure.

Are you running with an agent of manually executing the code ?

SkinnyPanda43 issue verified, this seems to be related to python 3.9 and subprocesses.
Let me check what we can do

Could not find a version that satisfies the requirement pytorch~=1.7.1

Seems like pytorch 1.7.1 has no package for python 3.7 ?

ohh that's why 🙂

Oh sorry, from the docstring, this will work:
` :param bool continue_last_task: Continue the execution of a previously executed Task (experiment)

.. note::
    When continuing the executing of a previously executed Task,
    all previous artifacts / models/ logs are intact.
    New logs will continue iteration/step based on the previous-execution maximum iteration value.
    For example:
    The last train/loss scalar reported was iteration 100, the next report will b...

Hi @<1692345677285167104:profile|ThoughtfulKitten41>

Is it possible to trigger a pipeline run via API?

Yes! a pipeline is at the end a Task, you can take the pipeline ID and clone and enqueue it

pipeline_task = Task.clone("pipeline_id_here") 
Task.enqueue(pipeline_task, queue_name="services")

You can also monitor the pipeline with the same Task inyerface.
wdyt?

Thanks!!

MistakenDragonfly51 just making sure I understand, on Your machine (the one running the pytorch example),
you have set " CLEARML_DEFAULT_OUTPUT_URI " / configured the "clearml.conf" file with default_output_uri , yet the model checkpoint was Not uploaded?

So this is an additional config file with enterprise?

Extension to the "clearml.conf" capabilities

Is this new config file deployable via helm charts?

Yes, you can also set it company/user wide using the clearml Vault feature (again enterprise, sorry 😞 )

Hi SarcasticSparrow10 ,
So the bad news is the UI is actually escaping the query, so you cannot search regexp from the UI. The good news, you can do achieve that from python:
from trains import Task tasks = Task._query_tasks(task_name='exp.*i1')

😊

(I'll make sure it is added to the docstring because apparently it was not there

Found the issue, fix in the next RC (soon to be out)

Hi RoundMosquito25
Hmm I remember this is tricky ... What's the clearml version? also where is the line you had to hack ?

Oh no, I just saw the message @<1541954607595393024:profile|BattyCrocodile47> is this stills relevant?

I have no idea what string reference could be used when steps come from Task?

Oh I see, you are correct, when it comes to Tasks the assumption is your are passing strings (with selectors on the strings, i.e. the curly brackets) but there is no fancy serialization/deserialization as you have with pipelines from decorators / functions. The reason for that is that the Task itslef is a standalone, there is no way for the pipeline logic to actually "pull data" from it and "pass" it to the o...

can I mix steps with Task and Function?

Hmm interesting question, I think that in theory you should be able to, I have to admit that I have not tried yet, but it should work

Are these fields of ClearML Task?

correct

But I have no idea what will be input of step2.

What do you mean by that? the assumption is that somehow the output of step 1 will be passed (a string reference) to step 2, what am I missing ?