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PungentJellyfish55
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3 Questions, 23 Answers
  Active since 10 January 2023
  Last activity one year ago

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17 × Eureka!
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7 Answers
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0 Votes 7 Answers 566 Views
3 years ago
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11 Answers
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Hello! There is great alternative for argparse developed by facebook for ml named https://hydra.cc/ . But unfortunately it doesn't work with trains in-browse...
3 years ago
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30 Answers
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0 Votes 30 Answers 628 Views
Hello! I think I've found a bug, but couldn't fix it completely to make a pull request. I want to optimizer hyperparameters with trains.automation but: In la...
3 years ago
0 Hello! I Think I'Ve Found A Bug, But Couldn'T Fix It Completely To Make A Pull Request. I Want To Optimizer Hyperparameters With Trains.Automation But:

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)

3 years ago
0 Hello! I Think I'Ve Found A Bug, But Couldn'T Fix It Completely To Make A Pull Request. I Want To Optimizer Hyperparameters With Trains.Automation But:

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

3 years ago
3 years ago
0 Hello! I Think I'Ve Found A Bug, But Couldn'T Fix It Completely To Make A Pull Request. I Want To Optimizer Hyperparameters With Trains.Automation But:

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 🙂

3 years ago
0 Hello! I Think I'Ve Found A Bug, But Couldn'T Fix It Completely To Make A Pull Request. I Want To Optimizer Hyperparameters With Trains.Automation But:

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

3 years ago
0 Hello! I Think I'Ve Found A Bug, But Couldn'T Fix It Completely To Make A Pull Request. I Want To Optimizer Hyperparameters With Trains.Automation But:

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

3 years ago
0 Anyone Having Problems With Clearml Slowing Down Pytorch Experiments? Auto_Connect_Framework={“Pytorch”: False} Helps, But It’S Not A Great Solution. We Think It’S Related To Clearml Trying To Do Something At Each Dataloader Iteration. We’Ll Try To Provid

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?

2 years ago
0 Hello! I Think I'Ve Found A Bug, But Couldn'T Fix It Completely To Make A Pull Request. I Want To Optimizer Hyperparameters With Trains.Automation But:

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'?

3 years ago
0 Anyone Having Problems With Clearml Slowing Down Pytorch Experiments? Auto_Connect_Framework={“Pytorch”: False} Helps, But It’S Not A Great Solution. We Think It’S Related To Clearml Trying To Do Something At Each Dataloader Iteration. We’Ll Try To Provid

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

2 years ago