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DilapidatedParrot58
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42 Questions, 205 Answers
  Active since 10 January 2023
  Last activity one year ago

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186 × Eureka!
0 Hey Guys, Do You Have Any Plans To Add Functionality To Export Training Config With All Hyperparameters To The Different Formats, Such As Training Command Line Command, Yaml, Etc.?

yeah, I am aware of trains-agent, we are planning to start using it soon, but still, copying original training command would be useful

4 years ago
0 Hey Guys, I Keep Getting

SuccessfulKoala55 grrrrr it keeps happening, I have no idea what's wrong

3 years ago
0 Hey Guys, I Keep Getting

problem is solved. I had to replace /opt/trains/data/fileserver to /opt/clearml/data/fileserver in Agent configuration, and replace trains to clearml in Requirements

3 years ago
0 Hey Guys, Is There A Ready Script That Can Delete All Models From S3 (Or Other Storage) That Are Related To Deleted Or Archived Experiments?

two more questions about cleanup if you don't mind:
what if for some old tasks I get WARNING:root:Could not delete Task ID=a0908784a2a942c3812f947ec1f32c9f, 'Task' object has no attribute 'delete'? What's the best way of cleaning them? What is the recommended way of providing S3 credentials to cleanup task?

3 years ago
0 Hey Guys, Is There A Ready Script That Can Delete All Models From S3 (Or Other Storage) That Are Related To Deleted Or Archived Experiments?

what if cleanup service is launched using ClearML-Agent Services container (part of the ClearML server)? adding clearml.conf to the home directory doesn't help

3 years ago
0 Hey Guys, Is There A Ready Script That Can Delete All Models From S3 (Or Other Storage) That Are Related To Deleted Or Archived Experiments?

oh wow, I didn't see delete_artifacts_and_models option

I guess we'll have to manually find old artifacts that are related to already deleted tasks

3 years ago
3 years ago
0 I Keep Getting Errors When Trying To Compare A Lot Of Experiments At The Same Time (>10). What'S Evern Worse Is That Trains Start Working Much Slower In General After These Attempts, The Only Way To Fix It Is To Restart The Whole Thing. Would Getting Bett

running
docker network prunebefore starting the containers kind of helped. I still see an error when I'm comparing > 20 experiments, but at least trains works okay after that, and there are no connection pool limit errors in the logs

4 years ago
0 I Keep Getting Errors When Trying To Compare A Lot Of Experiments At The Same Time (>10). What'S Evern Worse Is That Trains Start Working Much Slower In General After These Attempts, The Only Way To Fix It Is To Restart The Whole Thing. Would Getting Bett

btw, there are "[2020-09-02 15:15:40,331] [9] [WARNING] [urllib3.connectionpool] Connection pool is full, discarding connection: elasticsearch" in the apiserver logs again

4 years ago
0 Downloading Output Artifacts From S3 By Clicking On The Download Button Next To Model Url Was Great, But Since We Moved From Aws To Yandex.Cloud, This Feature Doesn'T Work. Any Chance You Could Support Other Cloud Providers?

yes. we upload artifacts to Yandex.Cloud S3 using ClearML. we set " s3://storage.yandexcloud.net/clearml-models " as output uri parameter and add this section to the config:
{
host: " http://storage.yandexcloud.net "
key: "KEY"
secret:"SECRET_KEY",
secure: true
}

this works like a charm. but download button in UI is not working

2 years ago
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