DeterminedCrab71 not in this scenario, but I do have it occasionally, see my earlier thread asking how to increase session timeout time

I was thinking of using the --volume settings in clearml.conf to mount the relevant directories for each user (so it's somewhat customizable). Would that work?

It would be amazing if one can specify specific local dependencies for remote execution, and those would be uploaded to the file server and downloaded before the code starts executing

If relevant, I'm using Chrome Version 101.0.4951.41 (Official Build) (64-bit)

Uhhh, but pyproject.toml does not necessarily entail poetry... It's a new Python standard

Hm, that seems less than ideal. I was hoping I could pass some CSV locations. I'll try and find a workaround for that. Thanks!

I understand, but then the toml file needs to be parsed to ensure poetry is used. It's just a tool entry in the pyproject.toml.

Not really - it will just show the string. A preview would be more like a low-res version of the uploaded image or similar.

I just used this to create the dual_gpu queue:
clearml-agent daemon --queue dual_gpu --create-queue --gpus 0,1 --detached

Let me know if you do; would be nice to have control over that 😁

can I assume these files are reused

A definite maybe, they may or may not be used, but we'd like to keep that option 🙃

Maybe the "old" way Dataset were shown is better suited ?

It was, but then it's gone now 😞

I see your point, this actually might be a "bug"?!

I would say so myself, but could be also by design..?

Awesome, I'll ask Product to reach out

LMK, happy to help out!
I know our use case is maybe a very different one, but...

Sure CostlyOstrich36 , sorry it took me so long to reply. I minimized the window a bit here so everything will fill in nicely. Worth mentioning this happens on all pages of course, but I went to the profile page so you can also see the clearml server version.

Sure! It's a bit intricate as it accommodates many of our different plotting functionalities, but this consists of the important bits (I realize we have some bad naming here, but fig[0] is actually a Figure object, and fig[1] is an Axes object):

` plt.switch_backend('agg')
sns.set_theme(...)
fig = plt.subplots(...)

sns.histplot(data, ax=fig[1], ...)
fig[1].set_xlim(...)
fig[1].set_ylim(...)
fig[1].legend(loc='best')
fig[1].set_xlabel(xlabel)
fig[1].set_ylabel(ylabel)
fig[1].set_...

Any thoughts CostlyOstrich36 ?

Yes, as I wrote above 😄

I mean, I see these are defined here https://github.com/allegroai/clearml-agent/blob/master/clearml_agent/definitions.py

But I do not see where an EnvironmentConfig.set() is called...

The title is specified in the plot (see the example, even if small).
I'm just creating a figure normally with matplotlib and save it to disk.

We're using 1.1.5 at the moment -- I'll make sure everyone updates to 1.1.6 on Monday.

That solution does not work for us unfortunately -- the .env is an argument from argparse, and because we cannot attach non-git files to a remote task (again issue #395), we have to first download CLI arguments for remote execution and ensure they exist on the remote agent.

SuccessfulKoala55 That string was autogenerated by pyhocon and matches their documentation too - https://github.com/lightbend/config/blob/master/HOCON.md#substitutions
The first example won't work (it will treat ${...} as a string literal and won't replace it). The second does work, but as mentioned anyway, these were not hand typed, but rather generated from pyhocon, so I don't think that's the issue 🤔

I'm not sure; the setup is not unique to Mac.
Each user has their own .env file which is given to the code entry point, and at some point will be loaded with dotenv.load_dotenv() .
The environment variables are not set in code anywhere, but the clearml.conf uses them directly.

@<1523701827080556544:profile|JuicyFox94> we have it up and running, hurray 🙂
One thing I noticed in the k8s logs is frequent warnings about Python 3.6..? Is the helm chart built with that Python version?

/usr/lib/python3/dist-packages/secretstorage/dhcrypto.py:15: CryptographyDeprecationWarning: Python 3.6 is no longer supported by the Python core team. Therefore, support for it is deprecated in cryptography and will be removed in a future release.
from cryptography.utils import int_...

And actually it fails on quite many tasks for us with this Python 3.6.
I tried to set up a different image ( agent8sglue.defaultContainerImage: "ubuntu:20.04" ) but that did not change much.
I suspect the culprit is agentk8sglue.image , which is set to tag 1.24-21 of clearml-agent-k8s-base . That image is quite very old… Any updates on that? 🤔

Thanks!

I believe that happens natively thanks to pyhocon? No idea why it fails on mac

i.e. It does not process tasks on its own?

But it does work on linux 🤔 I'm using it right now and the environment variables are not defined in the terminal, only in the .env 🤔

So a normal config file with environment variables.

AFAIU, something like this happens (oversimplified):

` from clearml import Task # <--- Crash already happens here
import argparse
import dotenv

if name == "main":
# set up argparse with optional flag for a dotenv file
dotenv.load_dotenv(args.env_file)
# more stuff `

Also something we are very much interested in (including the logger-based scatter plots etc)

These issues popped when I upgraded to clearml-agent 1.5.0.

Here's how it failed for us 😅
poetry stores git related data in poetry.lock , so when you pip list , you get an internal package we have with its version, but no git reference, i.e. internal_module==1.2.3 instead of internal_module @ git+https://....@commit .
Then pip actually fails (our internal module is not on pypi), but poetry suceeds