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14 × Eureka!@<1523701087100473344:profile|SuccessfulKoala55> I changed s3 bucket name None , but still has same error above.
Thank you for your advice @<1523701087100473344:profile|SuccessfulKoala55>
I am really appreciate it.
Thank you for your advice!
I will change the s3 bucket that does not have a dot and try again.
here is the key/secret
sdk {
aws {
s3 {
region: "ap-northeast-2"
use_credentials_chain: false
extra_args: {}
credentials: [
{
bucket: "
"
key: "S3_KEY"
secret: "S3_SECRET"
}
]
}
}
}
this is my client side’s clearml.conf
file
I think it is almost similar with agent’s clearml.conf
file
after restarting the docker-compose, then another error appeared
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
Cell In[6], line 1
----> 1 StorageManager.list("
")
File ~/.clearml/venvs-builds.2/3.8/lib/python3.8/site-packages/clearml/storage/manager.py:452, in StorageManager.list(cls, remote_url, return_full_path, with_metadata)
430 @classmethod
431 def list(cls...
Thank you for giving me the advice.
To answer your question, here is my workflow.
First, I create the task by running the below code
python3 train.py config object_detection.yaml
And in the same docker image, I run the below command to executing an agent
clearml-agent daemon --queue default --forground
After that, use this task id created above, I run the code I shared clearml_hyper.py
So I think argparser arguments are injected in the task itself before HPO
Yes, in the train.py, I put the task.init
and this is the Nanodet modified train code
And this is the task configuration info
Thank you for giving me the advice @<1523701087100473344:profile|SuccessfulKoala55> @<1523701205467926528:profile|AgitatedDove14> !!
here is the full log of the failed task
And this is the HPO’s configuration info