yes

nice, thanks

in the docker image

Requirement already satisfied (use --upgrade to upgrade): celsusutils==0.0.1

I'm so happy to see that this problem has been finally solved!

nice! exactly what I need, thank you!

default docker-compose

yeah, we did. let me check if explicitly setting credentials helps

WARNING: You are using pip version 20.1.1; however, version 20.3.3 is available.
You should consider upgrading via the '/usr/bin/python3 -m pip install --upgrade pip' command.

trains_agent: ERROR: Connection Error: it seems *api_server* is misconfigured. Is this the TRAINS API server http://apiserver:8008 ?

http://OUR_IP:8081 http://OUR_IP:8080 http://apiserver:8008
WARNING: You are using pip version 20.1.1; however, version 20.3.3 is available.
`...

nice, thanks! I'll check if it solves the issue first thing tomorrow in the morning

got it, thanks!

1.2.3

isn't this parameter related to communication with ClearML Server? I'm trying to make sure that checkpoint will be downloaded from AWS S3 even if there are temporary connection problems

there's https://boto3.amazonaws.com/v1/documentation/api/latest/reference/customizations/s3.html#boto3.s3.transfer.TransferConfig parameter in boto3, but I'm not sure if there's an easy way to pass this parameter to StorageManager

we’re using latest ClearML server and client version (1.2.0)

I change the arguments in Web UI, but it looks like they are not parsed by trains

just DMed you a screenshot where you can see a part of the token

we have a baremetal server with ClearML agents, and sometimes there are hanging containers or containers that consume too much RAM. unless I explicitly add container name in container arguments, it will have a random name, which is not very convenient. it would be great if we could set default container name for each experiment (e.g., experiment id)

not necessarily, there are rare cases when container keeps running after experiment is stopped or aborted

will do!

on the side note, is there any way to automatically give more meaningful names to the running docker containers?

yeah, we've used pipelines in other scenarios. might be a good fit here. thanks!

network logs

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

0.16.1

even without port

btw, are there any examples of exporting metrics using Python client? I could only find last_metrics attribute of the task

just updated, problem persists

1.3.0

I guess I could edit docker-compose.yaml

I updated S3 credentials, I'll check if they work later

it doesn't explain inability to delete logged images and texts though

will do, thanks