Invention Grant
- Patent Title: Contiguous sparsity pattern neural networks
-
Application No.: US16955420Application Date: 2019-02-11
-
Publication No.: US11693627B2Publication Date: 2023-07-04
- Inventor: Karen Simonyan , Nal Emmerich Kalchbrenner , Erich Konrad Elsen
- Applicant: DeepMind Technologies Limited
- Applicant Address: GB London
- Assignee: DeepMind Technologies Limited
- Current Assignee: DeepMind Technologies Limited
- Current Assignee Address: GB London
- Agency: Fish & Richardson P.C.
- International Application: PCT/US2019/017495 2019.02.11
- International Announcement: WO2019/157442A 2019.08.15
- Date entered country: 2020-06-18
- Main IPC: G06F7/00
- IPC: G06F7/00 ; G06F7/523 ; G06N3/08

Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using neural networks having contiguous sparsity patterns. One of the methods includes storing a first parameter matrix of a neural network having a contiguous sparsity pattern in storage associated with a computing device. The computing device performs an inference pass of the neural network to generate an output vector, including reading, from the storage associated with the computing device, one or more activation values from the input vector, reading, from the storage associated with the computing device, a block of non-zero parameter values, and multiplying each of the one or more activation values by one or more of the block of non-zero parameter values.
Public/Granted literature
- US20210012197A1 CONTIGUOUS SPARSITY PATTERN NEURAL NETWORKS Public/Granted day:2021-01-14
Information query