Hi @<1523701070390366208:profile|CostlyOstrich36> , i think can try this to run it as standalone:
{"meta":{"id":"37a8d7b26c534f9da20682801f9bd2bd","trx":"37a8d7b26c534f9da20682801f9bd2bd","endpoint":{"name":"projects.get_all_ex","requested_version":"2.20","actual_version":"1.0"},"result_code":200,"result_subcode":0,"result_msg":"OK","error_stack":"","error_data":{}},"data":{"projects":[]}}
yeah, it seems i will try option 2 that you mentioned.
i upload my full my configuration, and when done using google colab my configuration will gone too.
nope, still looking away to set AWS S3 secret_key without doing clearml-agent init
Hi, @<1523701070390366208:profile|CostlyOstrich36> ,yes! correct! how to achive that? it will save my storage.
clearml-agent, if you looking for clearml.conf, the place is '/root/default_clearml.conf'
Hi AgitatedDove14 , is the Dataset.get will take all child too?
it seems your clearml-agent didn't setup the right git account. are you sure setup on your agent conf?
wow, okay, i think will move all logs/plot/artifacs to my storage s3. Thanks! really helpful!
do you mean i can change?
files_server:
->
hi @<1523701087100473344:profile|SuccessfulKoala55> , it solved! thanks for information CLEARML_ENV ! I just accidently write environment varible CLEARML_ENV on every clearml-agent.conf. 🎉
Hi @<1523701070390366208:profile|CostlyOstrich36>
i mean we can do a form dropdown for others configuration like hyperparameters (task.connect)
i see,
thanks for clarify. i just want to find other solutions to storing secret value. rightnow i just storing secret value on env in clearml.conf in my workers. but it will complicated if there is new value, i need update workers conf and redeploy workers.
Hi @<1523701087100473344:profile|SuccessfulKoala55> , Thanks for your response.
I'm not entirely sure about the use of CLEARML_ENV since I haven't interacted with it before. Could you guide me on what I should set as its value?
Previously, the system was running smoothly. However, I've run into some issues after making certain configuration changes to modify the server permissions. Specifically, I'm curious if these changes might have influenced the agent's permission to access certain...
remove this params will solve use_current_task=True,
Hi @<1523701070390366208:profile|CostlyOstrich36> , thanks for response, sorry for late replay,
this is my configuration in yaml, i facing difficulty when there is params in list. somehow, form to display bunch list not easy to see. do you have suggestion? Thanks!
download-data:
dataset_train:
-
-
-
dataset_test:
-
-
-
train:
data:
batch: 4
input_size: 224
split:
t...the current my solution is upload my config to s3, and the pipeline will download it and read it when execute. but its decrase flexiblity.
you can spesificly use Task.add_requirements and pointing to path requirement.txt
i feel pain to make it as form if so much varible want to changes.