I passed only None

Hi @<1523701070390366208:profile|CostlyOstrich36>
After removing the port number from command given by you.
Re: your message
with the combination of None :port/bucket for --storage ?

Everytime I start training; first download dataset using minio client and then do further operations.

Can we integrate minio easily with clearML?

And what I feel; pulling data by using some client eg: minio-client for minio is faster than clearml

Hi John
Well, I didn’t setup anything extra 🙂

Thanks @<1523701087100473344:profile|SuccessfulKoala55>

Yes, this is what I’m doing currently. But strugginling to manage the versions and all.

And just FYI: one dataset size can beyond 80GB.

Thanks a lot @<1523701435869433856:profile|SmugDolphin23>
will go through this one.
your quick reply really means a lot. Thanks again!!

@<1590514584836378624:profile|AmiableSeaturtle81>
Yes, I can also feel that slowness.

But what about if we have millions of pdfs and we need to generate a image dataset along with their bounding boxes. We cannot generate it on the fly while training the model as it will very very very slow.
So I’m doing all preprocessing the upload preprocessed data back to storage.
And while training again pulling preprocessed dataset from storage. 😄

host: None

Am I missing anything in config?

Am I missing anything? because I can clearly see the usage of --config-file using clearml-agent --help

Hi @<1523701435869433856:profile|SmugDolphin23>
This is follow up question from my side.

Is it efficient to use clearML data for hundred of thousands of image dataset. I’ve a concern about performance.

So basically I’m training a transformers classifier. which need at least 300-400K images.

Hi @<1523701070390366208:profile|CostlyOstrich36>
FYI: I’m not using docker agent.

I set the env vars as you mentioned above in config. And I can see the those while starting agent using command: clearml-agent daemon --queue default

While running below code locally eg: python test.py I’m loading the env vars that is working fine.
But my question is when we clone the same task from clearml UI and send it to default queue; So can below piece of code can use those envs?
I tried sendi...

Basically we want to avoid having .conf file and it would be great in automation.

yes

clearml-data create --storage "

" --project dummyproject --name testingds1

clearml-data - Dataset Management & Versioning CLI
Creating a new dataset:

Error: Insufficient permissions (write failed) for ostore.xyz.tech

Yes, I tried with default port of minio (9000). didn’t work either.

I also tried passing the default port for minio for host in config
eg: host: “ostore.xyz.tech:9000”

But getting same error.

it is picking http, it should https?

Also tried changing files_server in config but didn’t work

raise ValueError(“Insufficient permissions (delete failed) for {}“.format(base_url))
ValueError: Insufficient permissions (delete failed) for None

Though I’m able to connect using minio client with the same creds without any issues.

FYI: I also changed the files_server in config

Yup, tried that too.

Again throwing Insufficient permissions.

still got same error