公开(公告)号：US20230177350A1

公开(公告)日：2023-06-08

申请号：US17903991

申请日：2022-09-06

Applicant: Apple Inc.

Inventor： Gaurav KAPOOR ,  Cecile M. FORET ,  Francesco ROSSI ,  Kit-Man WAN ,  Umesh S. VAISHAMPAYAN ,  Etienne BELANGER ,  Albert ANTONY ,  Alexey MARINICHEV ,  Marco ZULIANI ,  Xiaojin SHI

IPC: G06N3/10 ,  G06N3/08 ,  G06N3/04 ,  G06F8/41 ,  G06N3/063

CPC classification number: G06N3/10 ,  G06N3/08 ,  G06N3/04 ,  G06F8/443 ,  G06F8/41 ,  G06F8/4441 ,  G06N3/063 ,  G06F9/50

Abstract: The subject technology provides receiving a neural network (NN) model to be executed on a target platform, the NN model including multiple layers that include operations and some of the operations being executable on multiple processors of the target platform. The subject technology further sorts the operations from the multiple layers in a particular order based at least in part on grouping the operations that are executable by a particular processor of the multiple processors. The subject technology determines, based at least in part on a cost of transferring the operations between the multiple processors, an assignment of one of the multiple processors for each of the sorted operations of each of the layers in a manner that minimizes a total cost of executing the operations. Further, for each layer of the NN model, the subject technology includes an annotation to indicate the processor assigned for each of the operations.

公开(公告)号：US20210397596A1

公开(公告)日：2021-12-23

申请号：US17028920

申请日：2020-09-22

Applicant: Apple Inc.

Inventor： Albert ANTONY ,  Francesco ROSSI ,  Guillaume TARTAVEL ,  Xiaojin SHI ,  Marco ZULIANI

IPC: G06F16/22 ,  G06N3/04

Abstract: The subject technology provides a framework for evaluating activation functions of a neural network using lookup tables. In order to provide lookup table based activation functions with a desired precision within hardware constraints for the lookup tables, multiple lookup tables for each activation function can be provided. Each of the multiple lookup tables may correspond to a respective subrange of input values, within a full range of input values for the activation function.

公开(公告)号：US20200082274A1

公开(公告)日：2020-03-12

申请号：US16262809

申请日：2019-01-30

Applicant: Apple Inc.

Inventor： Francesco ROSSI ,  Cecile M. FORET ,  Gaurav KAPOOR ,  Kit-Man WAN ,  Umesh S. VAISHAMPAYAN ,  Etienne BELANGER ,  Albert ANTONY ,  Alexey MARINICHEV ,  Marco ZULIANI ,  Xiaojin SHI

IPC: G06N3/10 ,  G06N3/04 ,  G06N3/08

Abstract: The subject technology provides receiving a neural network (NN) model to be executed on a target platform, the NN model including multiple layers that include operations and some of the operations being executable on multiple processors of the target platform. The subject technology further sorts the operations from the multiple layers in a particular order based at least in part on grouping the operations that are executable by a particular processor of the multiple processors. The subject technology determines, based at least in part on a cost of transferring the operations between the multiple processors, an assignment of one of the multiple processors for each of the sorted operations of each of the layers in a manner that minimizes a total cost of executing the operations. Further, for each layer of the NN model, the subject technology includes an annotation to indicate the processor assigned for each of the operations.