UnevenDolphin73 you mean the clearml-server helm chart ?

is number of calls performed, not what those calls were.

oh, yes this is just a measure of how many API calls are sent.
It does not really matter which ones

Let me check

ReassuredTiger98 when you look for task "dca2e3ded7fc4c28b342f912395ab9bc" there are no artifacts ?
Could you add some prints? this should have worked...

Yes! Thanks so much for the quick turnaround

My pleasure 🙂

BTW: did you see this (it seems like the same bug?!)
https://github.com/allegroai/clearml-helm-charts/blob/0871e7383130411694482468c228c987b0f47753/charts/clearml-agent/templates/agentk8sglue-configmap.yaml#L14

(only works for pyroch because they have diff wheeks for diff cuda versions)

Is there an option to do this from a pipeline, from within the 

add_step

 method? Can you link a reference to cloning and editing a task programmatically?

Hmm, I think there is an open GitHub issue requesting a similar ability , let me check on the progress ...

nope, it works well for the pipeline when not I don't choose to continue_pipeline

Could you send the full log please?

size 0

LOL

Yes in the UI, clone or reset the Task, then youcan edit the installed packages section under the Execution tab

Thanks SmallDeer34 , I think you are correct, the 'output' model is returned properly, but "input" are returned as model name not model object.
Let me check something

Yep 🙂

yes ...
What's your use case for passing an empty dict ? (meaning how would one use it later)

Hi @<1730033904972206080:profile|FantasticSeaurchin8>
Is this only relates to this
https://github.com/coqui-ai/Trainer/issues/7
Or is it a clearml sdk issue?

what's the docker version?

1. Could we add a comparison feature directly from the search results (Dashboard view -> search -> highlight some experiments for comparison)?

Totally forgot about the global search feature, hmm I'm not sure the webapp is in the correct "state" for that, i.e. I think that the selection only works in "table view", which is the "all experiments" flat table

2. Could we add a filter on the project name in the "All Experiments" project?

You mean "filter by project" ?

Could we ad...

GreasyPenguin14 makes total sense.
In that case I would say variants to the accuracy make sense to me, I would suggest:
title='trains', series='accuracy/day' and title='trains', series='accuracy/night'
Regrading hierarchy, from the implementation perspective a unique identifier is always the combination of title/series (or in other words metric/variant), introducing another level is a system wide change.
This means it might be more challenging than expected ...

This only talks about bugs reporting and enhancement suggestions

I'll make sure this is fixed 🙂

By default the pl Trainer will output everything to TB, which we automatically store. But verify that TB is installed

So I might be a bit out of sync, but I think there should be Triton serving and OpenVino serving built into it (or at least in progress).

Yep I think you are correct, you should have had the same output as a local jupyter notebook, and it seems that in sagemaker studio it is not working 😞
Let me check something

When a remote task runs

Dataset.get()

it is not using the correct URL

BoredHedgehog47 it will get the link the data was Registered with, when creating the Dataset.
This has Nothing to do with the local configuration, it can point to any arbitrary file location on the internet.
It was created there, because at the time of the dataset creation someone (manually or via the config) set a specific host as the file location, and to that host the files were uploaded (again ...

The notebook path goes through a symlink a few levels up the file system (before hitting the repo root, though)

Hmm sounds interesting, how can I reproduce it?

The notebook kernel is also not the default kernel,

What do you mean?

We workaround the issue by downloading the file with a request and unzipping only when needed.

We have located the issue, it seems the file-server is changing the header when sending back the file (basically saying CSV with gzip compression, which in turn will cause any http download client to automatically unzip the content). Working on a hot fix for it 🙂

Hi JitteryCoyote63 you can bus obviously you should be careful they might both try to allocate more GPU memory than they the HW actually has.
TRAINS_WORKER_NAME=machine_gpu0A trains-agent daemon --gpus 0 --queue default --detached TRAINS_WORKER_NAME=machine_gpu0B trains-agent daemon --gpus 0 --queue default --detached

Was I right to put the credentials in

clearml.conf

on the machine I am starting the agent on?

AdventurousButterfly15 Yes exactly!
you should be able to see that in the log of the Task (at the top of the log there will be the entire configuration), can you see the git user there?

, but it seems like I can only trigger a task using a Task scheduler but not a pipeline.

@<1523701132025663488:profile|SlimyElephant79> Maybe we should better state it, but Pipeline is "just" another type of Task. so triggering a Task with the Pipeline ID is essentially triggering the pipeline (do notice you need to select the "services" queue to be used so that the pipeline runs on the correct resource). Make sense ?

Actually that is less interesting, as it is quite straight forward

it works if I run the same command manually.

What do you mean?
Can you do:
docker run -it <my container here> bashThen immediately get an interactive bash ?

Where are you seeing this message?