@<1523701205467926528:profile|AgitatedDove14>
Thanks a lot!

and if there is no venv and I want to use what is there by default in the docker?

and you can make it so that the version of python (to 3.10) would not be switched, but the one that is the default remains?

i use:

export CLEARML_AGENT_EXTRA_DOCKER_ARGS=" -v /srv:/root/srv  -v /srv:/srv  -v /var/run/docker.sock:/var/run/docker.sock -v /home/user/mlbox/clearml.conf:/root/clearml.conf  --network=host  --ipc host  --hostname=\$(hostname)"

ports:
because airflow was raised on one of them (8080)

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...

@<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

file sistem port 8091

CostlyOstrich36 ^

Perhaps this will help

class LitMNIST(LightningModule): ... self.log('test/test_nan', np.nan, prog_bar=False, logger=True, on_step=True, on_epoch=False) ...

CostlyOstrich36 ^

CostlyOstrich36
usability of the pytorch_lightning logger

we log the average reward of each action for the RL agent.
If the agent you did this action on the current episode, then his average reward will be nan , not 0. for obvious reasons. And we would like it to be visualized in the same way as in the tensorboard, for informational content.

task.get_logger()?
get_logger not use

all code

CostlyOstrich36
Will wait)

not nice that this logging is misleading

cp does't work

cp: target '/root/.clearml/venvs-builds/3.7/code' is not a directory

u can run it

[ctrl + C] [ctrl + V]
https://github.com/allegroai/clearml/issues/604

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.

CostlyOstrich36 ^

did not help(

for simplicity, you can make a flag for this and display only for graphs that are in sight, if it will be easier in terms of implementation or cpu costs.

yes, these items exist. write in a normal public channel is obtained. but it is not possible to write to a private channel in which the bot is added.

basket name all ok?

Is that what the thing was called a bucket?

Thank you very much for your help and for such a convenient product!)
I haven't figured out the alents yet, but it already looks amazing!)

I found a solution - I did not specify the address of the service (

here is a working code example:

basket = s3-infra.loc/
path = "s3-artifacts-test/proj_path"
task = Task.init(
        project_name=project_name,
        task_name=task_name,
        reuse_last_task_id=False,
        output_uri='s3://{basket}{path}',
    )

*leadership, management == customer

ClearML does not log images when in lighting use TensorBoardLogger

use local hosting by changing only 1 port (8080->8099) in the original docker compose file