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27 × Eureka!Well I can understand well your problem. @<1590514584836378624:profile|AmiableSeaturtle81>
Please let me know if you have answers for my problem. 😄
@<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. 😄
Am I missing anything? because I can clearly see the usage of --config-file using clearml-agent --help
Yes, this is what I’m doing currently. But strugginling to manage the versions and all.
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
And just FYI: one dataset size can beyond 80GB.
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...
And what I feel; pulling data by using some client eg: minio-client for minio is faster than clearml
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?
Hi John
Well, I didn’t setup anything extra 🙂
Thanks a lot @<1523701070390366208:profile|CostlyOstrich36> 🙏
Removed port and set secure as true.
Thanks a lot @<1523701435869433856:profile|SmugDolphin23>
will go through this one.
your quick reply really means a lot. Thanks again!!
For below config and command it worked
command: clearml-data create --storage "
None " --project dummyproject --name testingds2
Again throwing Insufficient permissions.
Also tried changing files_server in config but didn’t work
FYI: I also changed the files_server in config
Everytime I start training; first download dataset using minio client and then do further operations.
Can we integrate minio easily with clearML?
Yes, I tried with default port of minio (9000). didn’t work either.
Am I missing anything in config?
botocore.exceptions.EndpointConnectionError: Could not connect to the endpoint URL: “ None ”