Started clearml server again and now everything seems to work fine

I dont see that option in my ~/clearml.conf?

see None

Is there a way to test this? It seems my git user and token are correct. I can do git clone https://<NAME_TOKEN >:<ACCESSTOKEN> gitlab.com/mycompany/repo.git

However when starting the service it fails with:

cloning: git@gitlab.com:mycompany/repo.git
Using user/pass credentials - replacing ssh url

:mycompany/repo.git' with https url '

'
2021-01-18 20:04:08
User aborted: stopping task (3)

and None

Nested in the UI is not possible I think? I mean that it is possible to start the subtask while the main task is still active. Maybe I should just try

Yes that is the easiest solution, I will create the main task when the others are closed

Yes that is the error I get when trying to launch a custom slack alert service (when not running it locally)

Some of the experiments are done on a GCP instance instead of the local server on which we also run ClearML. The experiments running on GCP report to the same local clearml server, but the IP address for clearml configured on the GCP instance is different (and then forwarded). Is this the problem?

I am using gitlab, I can create an access token. From the gitlab page:
"Personal Access Tokens
You can generate a personal access token for each application you use that needs access to the GitLab API."

However, now I have an access token, not an username/password. Is there also an option to authenticate with the access token?

yes, I wanted the confirmation that this is also a good solution for datasets with medical images

Okay, so I have to first save the generated image somewhere and then with logger.report_media it is copied to the folder?

Old legacy code that has its own folder structure per experiment. I can also do it the other way around. Does task.get_output_destination() return the folder including project name and <task_name>.<task_id>?

I see, however it looks like medical images are not supported. We use nifty images, except for an 3D array the image also contains voxel spacing, and origin and direction in a world frame

yep

Yes, now I new unique folder is created per experiment where the predictions are saved. That works. The only thing is that now there is the folder that clearml makes for an experiment and the folder that saves the resuts. So two folders with artifacts per experiment. I was wondering if there was a more efficient solution and if it could be combined.

I see task.get_output_destination() returns a url like http://localhost:8081 . Is it possible to get the folder with the artifacts/models?

It is the folder the clearml creates and the folder we create ourself to store the predictions

I see this indeed when I create a new project with an empty description. Is this also possible for older project created before clearml 1.0? For these projects this button is not there

This code snippet does reproduce:
` import os
from clearml import Task

parameters = {
'experiment': {
'project_name': 'test',
'experiment_name': 'test_exp',
'tags': []
}
}

Task.set_offline(True)
if not Task.is_offline():
os.environ['CLEARML_NO_DEFAULT_SERVER'] = '1'
task = Task.init(
project_name=parameters['experiment']['project_name'],
task_name=parameters['experiment']['experiment_name'],
task_type='testing',
tags=parameters['experiment...

Version: 0.17.4

I tried it but it doesnot work. I checked the clearml-agent-services container and it does have the right CLEARML_WEB_HOST
echo $CLEARML_WEB_HOST
http://192.168.4.1:8080
however, the messages on slack still point to apiserver:8080

Is there also a method to get all the project names?

how do I install the RC?

upgrading to? 2020.3.3 is the latest version? https://www.jetbrains.com/pycharm/download/other.html

This is the full log

Thanks ClearML team, is there an example of the metric snapshot plot in the project overview UI available in the demo dashboard?

Okay finalize works. I was looking here: https://github.com/allegroai/clearml/blob/master/docs/datasets.md

` Backend TkAgg is interactive backend. Turning interactive mode on.
Traceback (most recent call last):
File "/snap/pycharm-community/226/plugins/python-ce/helpers/pydev/_pydevd_bundle/pydevd_frame.py", line 747, in trace_dispatch
self.do_wait_suspend(thread, frame, event, arg)
File "/snap/pycharm-community/226/plugins/python-ce/helpers/pydev/_pydevd_bundle/pydevd_frame.py", line 144, in do_wait_suspend
self._args[0].do_wait_suspend(*args, **kwargs)
File "/snap/pycharm-community...

I created it with clearml-init, nothing special. It looks like

# ClearML SDK configuration file api { # Notice: 'host' is the api server (default port 8008), not the web server. api_server: web_server: files_server: # Credentials are generated using the webapp, `
# Override with os environment: CLEARML_API_ACCESS_KEY / CLEARML_API_SECRET_KEY
credentials {"access_key": "NMWOE5C3RGTX473M9D3M", "secret_key": "L@G50jO+TJ23#8Eerp1E$4y=elUt11P!BL...