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openeuler/monolith

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By openeuler

Updated 2 months ago

Image
0

3.8K

openeuler/monolith repository overview

Quick reference

monolith | openEuler

Monolith is a deep learning framework for large scale recommendation modeling. It introduces two important features which are crucial for advanced recommendation system: collisionless embedding tables guarantees unique representation for different id features; real time training captures the latest hotspots and help users to discover new interests rapidly. Monolith is built on the top of TensorFlow and supports batch/real-time training and serving.

The tag of each monolith docker image is consist of the version of monolith and the version of basic image. The details are as follows

TagsCurrentlyArchitectures
135c491-oe2403sp4monolith 135c491 on openEuler 24.03-lts-sp4amd64, arm64
135c491-oe2403sp3monolith 135c491 on openEuler 24.03-lts-sp3amd64, arm64

Usage

docker pull openeuler/monolith:{Tag}
docker run -it --rm openeuler/monolith:{Tag} /bin/bash

Question and answering

If you have any questions or want to use some special features, please submit an issue or a pull request on openeuler-docker-images.

Tag summary

Content type

Image

Digest

sha256:1c7c1c394

Size

443.7 MB

Last updated

2 months ago

docker pull openeuler/monolith

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