btw the same happens when I try this on localhost

# 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

👍

No problems with this example, I will try to create a reproducible example

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

` 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...

self-hosted

This is the full log

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...

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?

nice, will give it a try

how do I install the RC?

With a name of 98 characters errors like 'munmap_chunk(): invalid pointer',
'double free or corruption (!prev)' or 'free(): invalid next size (normal) occur later in my script. But maybe this is not related to clearml but to the filesystem. Just wondering if there was a maximum length from the clearml side

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?

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

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

Started clearml server again and now everything seems to work fine

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

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

Okay, but for example slack alerts do not need git access I assume?

Thanks !

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

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>?

Yes, I add these metrics as extra columns and then I sort them. I want to know which experiments performs best in daylight for example or which during night. Therefore I think a is not the right choice

I see, will it be possible in the future to directly write custom/not supported formats to the folder? Because we are working with very big files, having them stored at multiple locations is something we try to avoid

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

it is the same with rc4. Under the variables tab it keeps hanging on 'collecting data...' OS: Ubuntu 18.04, PyCharm CE 2020.3

and None

I restarted the cleanup service. Now I get some messages like this:

2021-07-16 12:39:46,736 - clearml.storage - ERROR - Failed creating storage object file:// Reason: 'NoneType' object has no attribute 'replace'
2021-07-16 12:39:46,736 - clearml.Task - ERROR - Failed deleting None: 'NoneType' object has no attribute 'delete'
WARNING:root:Could not delete Task ID=eb11c92928af477e9e732d0cad47a57e, sequence item 0: expected str instance, NoneType found

any idea?

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