cp does't work

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

sounds great)

now I am still clarifying the points that have become attractive to our leadership, I will supplement my answer, How will they answer me.

` from clearml import Task
import numpy as np

def run():
task = Task.init(project_name="test/img", task_name="WandbLogger2_sg_nd_130_7")
logger = task.get_logger()
m = np.eye(256, 256, dtype=np.float64)
iteration = 42
logger.report_image("image", "image float", iteration=iteration, image=m)

if name == "main":
run() `

2022-03-29 16:27:55,273 - clearml.Task - INFO - No repository found, storing script code instead ClearML results page: `
Retrying (Retry...

Is it possible to do something so that the change of the server address is supported and the pictures are pulled up on the new server from the new server?

@<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?

https://github.com/docker/compose

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

AgitatedDove14 ^

AgitatedDove14 ^
Thank you so much!

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)"

requirements.txt

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.

yes, ofc

*leadership, management == customer

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

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...

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, on hover

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

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

And why can it be that the displayed time is zero?
although the experiments were considered for several days

this is the experiment that was useful, but we stopped it, because. convergence has happened before. than we expected

we just started logging metrics in clearml

Perhaps this will help

Does this only work for the completed status?
and does not take into account failed and ABORTED experiments?

yes, I think so too

cool!

Sometimes (<10%) we use two registrars with different task_names (in terms of ClearML) to display the same indicators but for different models that do different logic. And in such cases, we made two tb versions of / task and wrote in parallel.
And I wanted to know if it is possible here as well.

Of course, now I thought about the fact that maybe we need to write everything in one place, but with different names, but different metrics are used there. I'm not very well versed in ClearML...