😞 let me verify

Set it on the PID of the agent process itself (i.e. the clearml-agent python process)

In the docker bash startup script
apt-get install poppler-utils

Hi @<1523701168822292480:profile|ExuberantBat52>
What do you mean by:

• dataset_1 -> script_2 -> dataset_2a dataset creates a script ?

Hmm MiniatureHawk42 how many files in the zip ?

Hi ShallowArcticwolf27

from the command line to a remote machine while loading a local 

.env

 file as a configuration object?

Where would the ".env" go to ? Are we trying to pass it to the remote machine somehow ?

which was trained on jupyter notebook.

Hmm that might be the issue, it assumes a local script running, let me verify that

Thanks!

BurlyPig26 if this is about Task.init delaying execution, did you check:
Task.init(..., deferred_init=True)it will execute the initialization in the background without disturbing execution.

If this is about Model auto logging, see Task.init(..., auto_connect_frameworks) you can specify per framework a wild card to log the models, or disable completely https://github.com/allegroai/clearml/blob/b24ed1937cf8a685f929aef5ac0625449d29cb69/clearml/task.py#L370

Make sense ?

Yey!
My pleasure 🙂

. Would you have any suggestions about where I could look to debug? Maybe the docker logs of the web server?

Let me check, we had the same issue reported today, Let me double check with front-end people and get back to you

pip install git+ https://github.com/allegroai/clearml.git
out 🙂

The issue only arises upon sending Images. (Both numpy, mpl and PIL)

BTW: they should appear under debug-samples Tab in the results

Hi SubstantialElk6

We can't seem to find a way for the end user to pass in their git credentials when they run their codes in both agent and non-agent scenarios. Any advice here?

The bottom line is the agent needs to have read-only access to all the repositories so it can launch any Task. I would recommend to create an agent git user with read-only credentials and configure the agent to use it. wdyt?

Hi SubstantialElk6
I think you are absolutely correct, it seems the glue pops all the arguments, when in fact it should maybe process them a,d convert the --env/-e
What do you think?
Aloso I assume if these are the default arguments they should actually be part of the k8s apply.yaml template no ?

Could you please add it, I really do not want to miss it 🙂

Can you see that the environment is actually being passed ?

For visibility, after close inspection of API calls it turns out there was no work against the saas server, hence no data

SubstantialElk6 is this the pip to install the agent, or the pip the agent is using to install the packages for the specific experiment ?

FriendlySquid61 could you help?

Hi ShallowArcticwolf27

However, the AMI for version 0.16.1 has the following docker-compose file

I think we moved the docker-compose yaml when we upgraded from trains to clearml. Any reason your are installing the old docker-compose ?

MiniatureHawk42 could you re-test with the latest from github?
pip install -U git+

Yep 🙂

Hurray ?

Yey!

if this is the case pytorch really messed things up, this means they removed packages
Let me check something

if I encounter the need for that, I will adapt and open a PR 

Great!

WDYT?

Hi JitteryCoyote63
I think that what happens is that the agent are registered on the same name (id). How many agent do you see in the "Workers" tab?

Ohh, sure then editing git config will solve it.
btw: why would you need to do that, the agent knows how to do this conversion on the fly