公开(公告)号：US20200372097A1

公开(公告)日：2020-11-26

申请号：US16417937

申请日：2019-05-21

Applicant: Arm Limited

Inventor： Matthew MATTINA ,  Zhigang LIU ,  Paul Nicholas WHATMOUGH ,  David Hennah MANSELL

IPC: G06F17/16 ,  G06F7/52

Abstract: There is provided a data processing apparatus to perform an operation on a first matrix and a second matrix. The data processing apparatus includes receiver circuitry to receive elements of the first matrix, elements of the second matrix, and correspondence data to indicate where the elements of the first matrix are located in the first matrix. Determination circuitry performs, using the correspondence data, a determination of whether, for a given element of the first matrix in column i of the first matrix, a given element of the second matrix occurs in row i of the second matrix. Aggregation circuitry calculates an aggregation between a given row in the first matrix and a given column in the second matrix and includes: functional circuitry to perform, in dependence on the determination, a function on the given element of the first matrix and the given element of the second matrix to produce a partial result.

公开(公告)号：US20200042877A1

公开(公告)日：2020-02-06

申请号：US16054358

申请日：2018-08-03

Applicant: Arm Limited

Inventor： Paul Nicholas WHATMOUGH ,  Matthew MATTINA ,  Jesse Garrett BEU

IPC: G06N3/08 ,  G06F15/18 ,  G06N3/04

Abstract: An system, apparatus and method for utilizing software and hardware portions of a neural network to fix, or hardwire, certain portions while modifying other portions. A first set of weights for layers of the first neural network are established, and selected weights are modified to generate a second set of weights, based on a second dataset. The second set of weights is then used to train a second neural network.