ONNXRuntime taking up too much memory

[AlterHoodie]

ONNXRuntime takes up too much memory (more like accumulating cause I believe it's not freeing up unused memory), when trying to embed large collections of data.
Am I missing something or is this a problem with the runtime itself.
Iam trying to embed about 10000 documents (Average Size - 3000 characters) using the JinaAI Colbert Model (Late Interaction Model)
GPU - Tesla T4 16 GB VRam

[joein]

What's the batch size you're using?
Are you keeping the embeddings in memory or are you uploading them somewhere else / write to disk?
Colbert embeddings are quite huge since colbert produce 128-dim embedding per token

[AlterHoodie]

Dumping them into pickle files every 1000 docs, batch size is just 1

[joein]

As for now, I was able to reproduce the issue and it indeed seems like a problem with onnxruntime not freeing up the space
However, we might need more time to investigate it, thank you for pointing it out

[AlterHoodie]

Hey, any updates on this?

[joein]

Yeah, we're working on a fix #493

[pankajpriya42]

I'm also facing the same issue. Is there any update on this feature ?