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Usually systems which are in production require, loading of new versions on run-time and even unloading previous versions of model. Is there any way to achieve same using this framework ? I have seen tensorflow serving does this via constantly checking file system for new model versions and unloading deleted models.
I really like idea of single framework for hosting different framework models. If you have some tasks for future releases or any contribution required, I can help.
The text was updated successfully, but these errors were encountered:
dharmendrach
changed the title
Loading and Unloading new versions of model
Loading and Unloading versions of model
Dec 5, 2019
@drc10723 I was also hoping to find a way to handle hot-reload of the server based on the changes in the config file! Have you solved it? if so, I would be curious to learn as well.
Usually systems which are in production require, loading of new versions on run-time and even unloading previous versions of model. Is there any way to achieve same using this framework ? I have seen tensorflow serving does this via constantly checking file system for new model versions and unloading deleted models.
I really like idea of single framework for hosting different framework models. If you have some tasks for future releases or any contribution required, I can help.
The text was updated successfully, but these errors were encountered: