Invention Grant
- Patent Title: Batching inputs to a machine learning model
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Application No.: US15091381Application Date: 2016-04-05
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Publication No.: US10789544B2Publication Date: 2020-09-29
- Inventor: Noah Fiedel , Christopher Olston , Jeremiah Harmsen
- Applicant: Google LLC
- Assignee: Google LLC
- Current Assignee: Google LLC
- Agency: Fish & Richardson P.C.
- Main IPC: G06N20/00
- IPC: G06N20/00 ; G06F9/54

Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for batching inputs to machine learning models. One of the methods includes receiving a stream of requests, each request identifying a respective input for processing by a first machine learning model; adding the respective input from each request to a first queue of inputs for processing by the first machine learning model; determining, at a first time, that a count of inputs in the first queue as of the first time equals or exceeds a maximum batch size and, in response: generating a first batched input from the inputs in the queue as of the first time so that a count of inputs in the first batched input equals the maximum batch size, and providing the first batched input for processing by the first machine learning model.
Public/Granted literature
- US20170286864A1 BATCHING INPUTS TO A MACHINE LEARNING MODEL Public/Granted day:2017-10-05
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