Hi SubstantialElk6 ,
Just making sure I understand DS1 is parent of DS2 which is parent of DS3. DS3 doesn't show DS1 as one of it's parents. correct?
Hi DeterminedOwl36 , what about simply adding files that are already sitting on some storage?
https://clear.ml/docs/latest/docs/references/sdk/dataset#add_external_files
Hi @<1584716373181861888:profile|ResponsiveSquid49> , what optimization method are you using?
Hi @<1527096757119356928:profile|FrothyShrimp23> , what server are you using? Is it self hosted or the community, if self hosted, what version?
Can you please add a larger chunk of the autoscaler log?
Hi FrustratingShrimp3 , which framework would you like added?
Didn't have a chance to try and reproduce it, will try soon 🙂
Hi FierceHamster54 , I'm taking a look 🙂
This description in the
add_tags()
doc intrigues me tho, I would like to remove a tag from a dataset and add it to another version (eg: a
used_in_last_training
tag) and this method seems to only add new tags.
I see. Then I think you would need to do this via the API:
https://clear.ml/docs/latest/docs/references/api/tasks#post-tasksupdate
or
https://clear.ml/docs/latest/docs/references/api/tasks#post-tasksupdate_batch
JitteryCoyote63 , If you mean storage secrets (aws,azure, etc..) then you can configure them in your ~/clearml.conf 🙂
Is this something that the ClearML team could add? Would it be helpful to have a call?
FrustratingShrimp3 , I think you can open a github issue to request the new feature
I'd suggest using the API directly, fetch a task and compare it's start to end time.
Hi 🙂
When viewing the experiments tables you have a tab called 'models'. If the artifact was saved as a model, then you can find it there 🙂
JitteryCoyote63 , I'm afraid currently not and only available in docker mode.
What do you need it for if I may ask?
Can you please give an example?
JitteryCoyote63 Hi! Are you running in docker mode?
FrustratingShrimp3 , it could be quite simple to do yourself as well. You can take a look at the example bindings here:
https://github.com/allegroai/clearml/tree/master/clearml/binding
It shouldn't be difficult to implement a new framework
And additionally does the
When executing a Task (experiment) remotely, this method has no effect).
part means that if it is executed in a remote worker inside a pipeline without the dataset downloaded the method will have no effect ?
I think this means the add tags specifically will have no effect
Thanks for the info! This happened when you had 2 spot instances running something, correct?
Hi TimelyCrab1 , directing all your outputs to s3 is actually pretty easy. You simply need to configure api.files_server: <S3_BUCKET/SOME_DIR>
in clearml.conf
of all machines working on it.
Migrating existing data is more difficult since everywhere in the system everything is saved as links. I guess you could change the links in mongodb but I would advise against it.
Can you please elaborate on what you're trying to do and what is failing?
Doesn't look like anything critical 🙂
Hi JuicyOtter4 , not sure you can disable certain scalars but you can disable auto logging of specific frameworks using the method showed here:
https://www.youtube.com/watch?v=etGjxOKG9lo
Hope this helps 🙂
Can you provide a full print of the terminal?
@<1709740168430227456:profile|HomelyBluewhale47> , how did you set the output_uri
?