Also, how are you saving your models?
Hi @<1545216070686609408:profile|EnthusiasticCow4> , what version of clearml
& server are you using?
Hi @<1570220844972511232:profile|ObnoxiousBluewhale25> , I see that there is also no force
flag for the SDK. Maybe open a github request to add the option to force or just allow deleting archived published tasks.
Currently through code you can use the API to delete those experiments.
Hi I think it's stated in Slack integration docs:
None
Hi @<1536881167746207744:profile|EnormousGoose35> , support for the PRO version is given here on community slack channel.
Hi @<1560798754280312832:profile|AntsyPenguin90> , the task types are mainly for governance. There is a 'custom' task type. However, task type shouldn't affect your training
I see. You need to run the agent with --cpu-only
flag in that case
Looks decent, give it a try and update us it's working 🙂
Exact same usage?
Hi 🙂
Is it self deployed?
Please try like this model.tags=['Test']
and not with append
GrievingTurkey78 , what timeout did you set? Please note that it's in seconds so it needs to be a fairly large number
GrievingTurkey78 , do you have iterations stated explicitly somewhere in the script?
DeliciousBluewhale87 , I believe so, yes 🙂
Hi ConvolutedSealion94 , you should use the InputModel/OutputModel modules for working with models:
https://clear.ml/docs/latest/docs/references/sdk/model_inputmodel
This makes getting models very easily directly by their IDs (Models have unique IDs). For example:
https://clear.ml/docs/latest/docs/references/sdk/model_inputmodel#get_local_copy
Or:
https://clear.ml/docs/latest/docs/references/sdk/model_inputmodel#get_weights_package
GiganticTurtle0 Hi 🙂
How about Task.get_task()
?
https://clear.ml/docs/latest/docs/references/sdk/task#taskget_task
You'd need to provide it the project name and task name
And if you switch back to 1.1.2 in the setup that 1.1.1 worked, does it still fail?
Hi @<1523701504827985920:profile|SubstantialElk6> , you can create wrappers around other languages but currently only Python is supported by ClearML
Are you using a self hosted server or the community server?
VexedCat68 , can you give a small example?
Hi @<1523701868901961728:profile|ReassuredTiger98> , in the end the container mounts to some volumes on the original machine so it has to be somewhere. Are you basically asking about 'cleaning' the data once a session finishes?
WackyRabbit7 , how did you report the table? Can you please provide an example for the data structure of the table?
If you want to access them as artifacts via code (OR via UI) you'll have to register via code and call them back that way.
Use the following:
https://clear.ml/docs/latest/docs/references/sdk/task#register_artifact
https://clear.ml/docs/latest/docs/references/sdk/task#get_registered_artifacts
Also please note the difference between reporting those tables as data via the logger and as artifacts since the logger saves things as events (plots, scalars, debug samples).
GreasyPenguin14 Hi!
I wish I could help but I'm afraid I'll need to ask AnxiousSeal95 for some help with that, please hold tight until he will be able to help out 🙂
Hi @<1523708920831414272:profile|SuperficialDolphin93> , simply set output_uri=/mnt/nfs/shared
in Task.init
SharpHedgehog60 hi!
All passwords/secrets can be kept in ~/clearml.conf on the relevant machine.
Is this what you meant?
JitteryCoyote63 , Hi 🙂
I'm having a bit of trouble understanding. Can you give a concise example of before VS after?
I mean in the execution section of the task - under container section