For reference
I have now locally raised Clearml on a nearby machine and logging is configured as in the textbook - all metrics are worked out.
On the machine where I run docker, I just copied the clearml.conf file. Maybe you need to do something else (send the /opt/clearml folder and drop it into the docker image?)?

I'm interested in more details)))

please tell me how I can help you?)

AgitatedDove14 see next:
https://github.com/allegroai/clearml/issues/630

AgitatedDove14 ^
me too

Yes, sure!
Thank you very much for your time!

AgitatedDove14
please tell me, is the approximate date already known when this feature will be released along with the release?)

@<1523701205467926528:profile|AgitatedDove14>
Can you please tell me how to return the folder where the script should run?

Traceback (most recent call last):
  File "/root/.clearml/venvs-builds/3.7/code/train.py", line 12, in <module>
    from src.utils.profiler.time_profiler import TimeProfiler
ModuleNotFoundError: No module named 'src'

/root/.clearml/venvs-builds/3.7/code/ -> /src/project

if i replace port from 8091 ti 8090 then opened page (pic. 1)
to

great, point 2 sounds like the right thing!)

Pretty sieve in the near future. As an idea for new users: it would be convenient to have some kind of visual example, what would they understand how it will be.

2. File Store Host configured to: http://localhost:8091
   ` (base) user@s130:~$ clearml-init
   ClearML SDK setup process

Please create new clearml credentials through the profile page in your clearml-server web app (e.g. )
Or create a free account at

In the profile page, press "Create new credentials", then press "Copy to clipboard".

Paste copied configuration here:
api {

web_server:  ` ` 
api_server:  ` ` 

credentials {
    "access_key" = "OV676692R7V...

About migration - we saved the data archives and copied them to a new server, extracting them to the appropriate folders and setting the necessary rights, and rebuilding the docker image and launching the container

Before all this, we migrated to the new version according to the instructions and everything went well, all the data after the restart was displayed correctly.

And only after that we began the process of switching to new hardware - with a large disk.

GorgeousSeagull44 did you restart docker compose?

docker-compose -f /opt/clearml/docker-compose.yml down docker-compose -f /opt/clearml/docker-compose.yml pull docker-compose -f /opt/clearml/docker-compose.yml up -d

set in clearml-init
file sistem port 8090
but the compose is set to 8091

` (base) user@s130:~$ clearml-init
ClearML SDK setup process

Please create new clearml credentials through the profile page in your clearml-server web app (e.g. )
Or create a free account at

In the profile page, press "Create new credentials", then press "Copy to clipboard".

Paste copied configuration here:
api {

web_server:  ` ` 
api_server:  ` ` 

credentials {
    "access_key...

@<1523701205467926528:profile|AgitatedDove14>
thank you very much, it's clear!

AgitatedDove14
my management liked that in wandb you can make reports on experiments with interactive graphs and that they would be viewed on the Internet + multicursor.
And I think what advantages ClearML has to compensate for this chips.
I thought that maybe someone made a comparison and find the necessary arguments in this comparison.

From the active one, we are still using local placement, logging the console, logging parameters, displaying metrics and debugging the picture with drawin...

it may be convenient to add an optional option to the top snippet

*leadership, management == customer

yes, I agree, thank you, tell me please, is it planned to add a multicursor in the future?

yes, on hover

ah, I get it, I use (pytorch) lightning, and that's where it all comes from.

AgitatedDove14
Returning to this question, tell me please. when it will be possible to expand this limit, in cases where you run 20-30 runs to enumerate one parameter, it is not very convenient to compare them in batches of 10 experiments.
Is it possible to make a checkbox in the profile settings. which would answer az the maximum limit for comparison?

This feature is becoming more and more relevant.

i found 🙂

CLEARML_AGENT_SKIP_PYTHON_ENV_INSTALL

Up, thanks!

I tried to update the main libraries to newer ones - it did not help

now I'll try to run with an older version of the mb code in this led

This only happens when I try to block pictures.
When I disable image logging, this error does not occur.

clearml

ClearML does not log images when in lighting use TensorBoardLogger