公开(公告)号：US20230186077A1

公开(公告)日：2023-06-15

申请号：US17841577

申请日：2022-06-15

Applicant: NVIDIA CORPORATION

Inventor： Hongxu YIN ,  Jan KAUTZ ,  Jose Manuel ALVAREZ LOPEZ ,  Arun MALLYA ,  Pavlo MOLCHANOV ,  Arash VAHDAT

IPC: G06N3/08 ,  G06N3/04

CPC classification number: G06N3/08 ,  G06N3/0481

Abstract: One embodiment of the present invention sets forth a technique for executing a transformer neural network. The technique includes computing a first set of halting scores for a first set of tokens that has been input into a first layer of the transformer neural network. The technique also includes determining that a first halting score included in the first set of halting scores exceeds a threshold value. The technique further includes in response to the first halting score exceeding the threshold value, causing a first token that is included in the first set of tokens and is associated with the first halting score not to be processed by one or more layers within the transformer neural network that are subsequent to the first layer.

公开(公告)号：US20220374637A1

公开(公告)日：2022-11-24

申请号：US17326091

申请日：2021-05-20

Applicant: Nvidia Corporation

Inventor： Ming-Yu LIU ,  Ting-Chun WANG ,  Arun MALLYA

IPC: G06K9/00 ,  G10L15/16 ,  G06N3/04

Abstract: Apparatuses, systems, and techniques are presented to reduce an amount of data to be transmitted for media content. In at least one embodiment, one or more neural networks are used to generate video and audio information corresponding to one or more people based, at least in part, on at least one image and voice information corresponding to the one or more people.