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Explore creation of a "batching" transformer #107

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Maximophone opened this issue Mar 1, 2018 · 2 comments
Closed

Explore creation of a "batching" transformer #107

Maximophone opened this issue Mar 1, 2018 · 2 comments

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@Maximophone
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The unit would receive requests and aggregate them in a certain batch size.

The behaviour would be something like this:

Input transformation:
When receiving new request, store it in memory and wait (needs multithreading)
When enough requests have been received, returns a batch in one of them, nothing in the others

Output transformation:
Wait until all outputs have arrived
split the one containing the batch into all the others
return all

@erandagan
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It's worth mentioning that TFServing has a pretty flexible batching configuration
which can be used for inspiration.

@ukclivecox
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More likely to be part of core model servers such as tfserving or tensorrt inference server.

agrski pushed a commit that referenced this issue Dec 2, 2022
* Initial data structures for experiment

* initial experiment commit

* Update for baseline experiments

* standalone experiments

* update control plane version and change header const name

* lint and updates to notebook and status server

* update notebook with new example and better utility methods

* kafka fixes while testing

* initial pipeline commit

* update tests

* change to remove explicit outputs

* updates

* refactor add pipeline

* lint

* add chainer server state setting£

* pipeline status updates

* order pipeline steps when creating proto

* lint

* review tests

* remove use of Is in tests

* fix errors in operator

* review comments

* review fixes
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3 participants