公开(公告)号：US10553207B2

公开(公告)日：2020-02-04

申请号：US15857990

申请日：2017-12-29

Applicant: Facebook, Inc.

Inventor： Nadav Rotem ,  Abdulkadir Utku Diril ,  Mikhail Smelyanskiy ,  Jong Soo Park ,  James Kenneth Reed

IPC: G10L15/16 ,  G10L15/22 ,  G10L15/18 ,  G06N3/04

Abstract: The disclosed method may include (1) determining whether a next operation of a plurality of operations of a computational model is dependent upon a Boolean predication value, (2) based on the next operation not being dependent on the Boolean predication value, performing the next operation, where a state of the computational model is updated as a result of performing the next operation, and (3) based on the next operation being dependent on the Boolean predication value, performing at least one of (a) allowing, based on the Boolean predication value being a first value, the next operation to update the state of the computational model, and (b) preventing, based on the Boolean predication value being a second value different from the first value, the next operation from updating the state of the computational model. Various other methods and systems are also disclosed.

公开(公告)号：US11264011B2

公开(公告)日：2022-03-01

申请号：US16749328

申请日：2020-01-22

Applicant: Facebook, Inc.

Inventor： Nadav Rotem ,  Abdulkadir Utku Diril ,  Mikhail Smelyanskiy ,  Jong Soo Park ,  James Kenneth Reed

IPC: G10L15/16 ,  G10L15/18 ,  G10L15/22 ,  G06N3/04

Abstract: The disclosed method may include (1) determining whether a next operation of a plurality of operations of an artificial neural network (ANN) is dependent upon a Boolean predication value based on a representative value for a weight or an input of a node of the ANN, (2) based on the next operation not being dependent on the Boolean predication value, allowing the next operation to update a state of the ANN, and (3) based on the next operation being dependent on the Boolean predication value, performing at least one of (a) allowing, based on the Boolean predication value being a first value, the next operation to update the state of the ANN, and (b) preventing, based on the Boolean predication value being a second value different from the first value, the next operation from updating the state of the ANN. Various other methods and systems are also disclosed.

公开(公告)号：US20200160848A1

公开(公告)日：2020-05-21

申请号：US16749328

申请日：2020-01-22

Applicant: Facebook, Inc.

Inventor： Nadav Rotem ,  Abdulkadir Utku Diril ,  Mikhail Smelyanskiy ,  Jong Soo Park ,  James Kenneth Reed

IPC: G10L15/16 ,  G06N3/04 ,  G10L15/18 ,  G10L15/22

Abstract: The disclosed method may include (1) determining whether a next operation of a plurality of operations of an artificial neural network (ANN) is dependent upon a Boolean predication value based on a representative value for a weight or an input of a node of the ANN, (2) based on the next operation not being dependent on the Boolean predication value, allowing the next operation to update a state of the ANN, and (3) based on the next operation being dependent on the Boolean predication value, performing at least one of (a) allowing, based on the Boolean predication value being a first value, the next operation to update the state of the ANN, and (b) preventing, based on the Boolean predication value being a second value different from the first value, the next operation from updating the state of the ANN. Various other methods and systems are also disclosed.

公开(公告)号：US20190206390A1

公开(公告)日：2019-07-04

申请号：US15857990

申请日：2017-12-29

Applicant: Facebook, Inc.

Inventor： Nadav Rotem ,  Abdulkadir Utku Diril ,  Mikhail Smelyanskiy ,  Jong Soo Park ,  James Kenneth Reed

IPC: G10L15/16 ,  G06N3/04 ,  G10L15/18 ,  G10L15/22

Abstract: The disclosed method may include (1) determining whether a next operation of a plurality of operations of a computational model is dependent upon a Boolean predication value, (2) based on the next operation not being dependent on the Boolean predication value, performing the next operation, where a state of the computational model is updated as a result of performing the next operation, and (3) based on the next operation being dependent on the Boolean predication value, performing at least one of (a) allowing, based on the Boolean predication value being a first value, the next operation to update the state of the computational model, and (b) preventing, based on the Boolean predication value being a second value different from the first value, the next operation from updating the state of the computational model. Various other methods and systems are also disclosed.