A channel here would be good too 🙂
But I don’t see a task option in Dataset.create
https://github.com/allegroai/clearml/blob/master/clearml/datasets/dataset.py#L657-L663
Hey SuccessfulKoala55 Like I mentioned, I have a spacy ner model that I need to serve for inference.
Hope you don’t mind linking to that repo
Ok code suggests so. Looking for more powerful pipeline scheduling like on datasets publish, actions on model publish etc
Pushed the changes, not sure if it’s fully right. Do let me know. But functionality is working
Not really right? They deprecated a param which wasn’t removed in that commit i mentioned above
Oh yeah I wanted to update only for the gpu stuff for now
This worked, thanks.
Sounds great!
Is nested projects in the release? I see it in the community server but no mention in the blog or the release notes?
that or in clearml.conf or both
AgitatedDove14 - are there cases when it tries to skip steps?
Can you let me know if i can override the docker image using template.yaml?
But you have to do config.pbtxt stuff right?
Ok, just my ignorance then? 🙂
Initially it was complaining about it, but then when I did the connect_configuration it started working
Will try it out. Pretty impressed 🙂
Ah…that’s great!
AgitatedDove14 - yeah wanted to see what’s happening before disabling as I wasn’t sure if this is what’s expected.
AgitatedDove14 - looks like the serving is doing the savemodel stuff?
https://github.com/allegroai/clearml-serving/blob/main/clearml_serving/serving_service.py#L554
This actually ties well with the next version of pipelines we are working on
Is there a way to see a roadmap on such things AgitatedDove14 ?
Yeah but where’s the cache from? does it setup a pip cache anywhere?
I don’t want to though. Will run it as part of a pipeline
Lot of us are averse to using git repo directly
Is there a good reference to get started with k8s glue?