How can I get them? I think I follow the example from documentation, but I cant get it.
Is it ok that my template experiment is now at draft 'state'?

can you fix this?

These are the last_metrics values the task object has

0.15.1

I'm sorry but I didn't get you about original experiment. By original you mean the experiment I use as a template?

Hope you are not tired of me. But I am using trains 0.16.1 and adding prefix does not work. I found the place where dict with keys <prefix/key>:value are transformed to nested dict with <prefix>:{<key>: value} (see screenshots). Im sorry for my annoyance but I believe there is misandastanding between us and you think that prefixes work 🙂

stack trace
project_import_modules, reqs.py:46 extract_reqs, __main__.py:67 get_requirements, scriptinfo.py:49 _update_repository, task.py:298 _create_dev_task, task.py:2819 init, task.py:504 train, train_loop.py:41 <module>, train.py:88

This is a screen with messages of an optimization process

I don't know. It looked like an ordinary weights uploading. Here's the screenshot

Could you please answer the last question? 🙃
I'm I right that the is a bug with the first situation I've described ('Args' parameter)? Or I do smth wrong and It should work with prefixes? Because it does not work if I add prefix

Hey, looks like we found something. Actually the parameter which 'controls' slowing down is detect_repository . We think that it may be caused by lots of files in repo (data folder). Do you use .gitignore file when detecting repo?

Should I run the template experiment till the end (I mean when it'not not improving) or I can run for a few epochs?

yeah

Unfortunately I still can't get it

Adding General prefix for parameters doesn't work as task parameters have no prefixes. The also doesn't have 'General' key returned (pictures 1, 2 are screen shots of my base experiment, picture 3 is key of returned task parameters dictionary) The last_metrics argument is still empty. But my template experiment actually has reported scalars (picture 4) and I use right experiment id (picture 5)

Yes 😅 It actually worked. Thank you! Now I got values from scalars

Cause I ran for a few epochs only

here's my script

Unfortunately I still have the same issue 😢

Here is the stack on manually interupting (wights were uploaded on 14:16 and I interrupted on 14:30)

I found place, where hang up happens

https://github.com/allegroai/clearml/blob/a47f127679ebf5912690f7c3e60791a2daa5c984/clearml/utilities/pigar/reqs.py#L47

I'll try again, but I did it in this way 😢
Maybe I am wrong and did something wrong

Thank you! I'll try

suppose, clearml dows not take .gitignore into account
https://github.com/allegroai/clearml/blob/a47f127679ebf5912690f7c3e60791a2daa5c984/clearml/backend_interface/task/repo/scriptinfo.py#L47

or it should be fixed in pigar repo first?