Hi BattyLion34
No problem asking here 🙂
Check your ~/clearml.conf or ~/trains.conf :
There is a section names api, under it you will find the definition of your trains-server 🙂

It looks like the tag being used is hardcoded to 1.24-18. Was this issue identified and fixed in later versions?

BoredHedgehog47 what do you mean by "hardcoded 1.24-18" ? tag to what I think I lost context here

https://superuser.com/a/441758

Hi RipeGoose2
I just test the hydra example, seems to work when you add the offline right after the import:
` from clearml import Task

Task.set_offline(True) `

true 😞

you should have a gpu argument there, set it to true

in clearml.conf we could have:
azure.storage { max_connections = 10 # containers: [ # { # account_name: "clearml" # account_key: "secret" # # container_name: # } # ] }Then in AzureContainerConfigurations :
` @classmethod
def from_config(cls, configuration):
...
class AzureContainerConfigurations(object):
def init(self, container_configs=None, max_connections=None):
...

Yes

BTW: how are you using them? should we have a direct interface to those ?

@<1523701601770934272:profile|GiganticMole91> really nice!

but can we scheduled new task here?

@<1523701260895653888:profile|QuaintJellyfish58> do you mean schedule a Task from the scheduled function? if yes, you can do something similar to @<1523701601770934272:profile|GiganticMole91> , you create/clone existing Task, change arguments and push it into an execution queue. wdyt?

Hi @<1697419082875277312:profile|OutrageousReindeer5>
Is NetApp S3 protocol enabled or are you referring to NFS mounts?