METHOD AND SYSTEM FOR EXTENDING QUERY PROCESSING WITH DIFFERENTIABLE OPERATORS

Example aspects include techniques for query processing over deep neural network runtimes. These techniques include receiving a query including a query operator and a trainable user defined function (UDF). In addition, the techniques include determining a query representation based on the query, and...

Full description

Saved in:
Bibliographic Details
Main Authors INTERLANDI, Matteo, Fu, Victor Renjie, Sen, Rathijit, Zhang, Lihao, Banda, Dalitso Hansini, Gandhi, Apurva Sandeep, Asada, Yuki, Gemawat, Advitya
Format Patent
LanguageEnglish
Published 11.04.2024
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:Example aspects include techniques for query processing over deep neural network runtimes. These techniques include receiving a query including a query operator and a trainable user defined function (UDF). In addition, the techniques include determining a query representation based on the query, and determining, for performing the query in a neural network runtime, an initial neural network program based on the query representation, the initial neural network program including a differentiable operators corresponding to the query operator. and executing the neural network program in the neural network runtime over the neural network data structure to generate a query result. Further, the techniques include training the initial neural network program via the neural network runtime to determine a trained neural network program, and executing the trained neural network program in the neural network runtime to generate inference information.
Bibliography:Application Number: US202217963809