公开(公告)号：US20240127045A1

公开(公告)日：2024-04-18

申请号：US17959210

申请日：2022-10-03

Applicant: DeepMind Technologies Limited

Inventor： Thomas Keisuke Hubert ,  Shih-Chieh Huang ,  Alexander Novikov ,  Alhussein Fawzi ,  Bernardino Romera-Paredes ,  David Silver ,  Demis Hassabis ,  Grzegorz Michal Swirszcz ,  Julian Schrittwieser ,  Pushmeet Kohli ,  Mohammadamin Barekatain ,  Matej Balog ,  Francisco Jesus Rodriguez Ruiz

IPC: G06N3/08 ,  G06N3/063

CPC classification number: G06N3/08 ,  G06N3/063

Abstract: A method performed by one or more computers for obtaining an optimized algorithm that (i) is functionally equivalent to a target algorithm and (ii) optimizes one or more target properties when executed on a target set of one or more hardware devices. The method includes: initializing a target tensor representing the target algorithm; generating, using a neural network having a plurality of network parameters, a tensor decomposition of the target tensor that parametrizes a candidate algorithm; generating target property values for each of the target properties when executing the candidate algorithm on the target set of hardware devices; determining a benchmarking score for the tensor decomposition based on the target property values of the candidate algorithm; generating a training example from the tensor decomposition and the benchmarking score; and storing, in a training data store, the training example for use in updating the network parameters of the neural network.