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15 × Eureka!@<1523701087100473344:profile|SuccessfulKoala55> I saw in the examples one case of engine being passed as custom
.
My requirement is the need for supporting let's say other frameworks like spacy
. So I was thinking maybe i could create a pipeline that does the model load and inference and pass that pipeline. I am still figuring out the ecosystem, would something like that make sense?
Thanks @<1523701205467926528:profile|AgitatedDove14> . For now i have forked the clearml-serving
locally and added an engine for spacy
. It is working fine. Yeah, i think some documentation and a good example would make it more visible. An example for something like spacy would be useful for the community.
Hmm, thanks @<1523701087100473344:profile|SuccessfulKoala55> what would be the right way that you would recommend for adding support for other models/frameworks like spacy
.
Would you recommend adding other models by sending PR in line with the lightgbm example here
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or use the custom
option and move the logic for loading the model to preprocess
or `proce...
Got this working after using the preprocess step similar to the sklearn example to convert the input explicitly to list.
@<1523701087100473344:profile|SuccessfulKoala55> , from the init-containers i could see that it is waiting for mongodb to start.
hmm, i was speaking from a production point of view, i thought there will be some hooks for deploying where the integration with k8s was also taken care automatically.
AFAIK, i have to create a deployment of this container and add an ingress on top of it. In the architecture diagram in github, this seems to be something that is already baked in , which is what caused confusion. Curious to know your thoughts on this.
@<1523701087100473344:profile|SuccessfulKoala55> , using this
allegroai
It's been stuck in initialization for a long time.
@<1523701087100473344:profile|SuccessfulKoala55> , trying to use external mongo. In the values.yaml
I see these two fields
mongodbConnectionStringAuth: ""
mongodbConnectionStringBackend: ""
can you please help with what should go in these ?
Yeah GPU utilization was 100% . I cleaned it up using nvidia-smi
and killing the process. But i was expecting the clean up to happen automatically since the process failed.
sure Thanks SuccessfulKoala55 Not sure if is a one off event. I will try to reproduce it.
Thanks CostlyOstrich36
no , it didn't kill the process.
Thanks @<1567321739677929472:profile|StoutGorilla30> and @<1523701070390366208:profile|CostlyOstrich36> my question was from the perspective of agent. I am guessing agent.binary
is what i would have to set.
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