DEPTH CONCATENATION USING A MATRIX COMPUTATION UNIT

Patent №

US 10,896,367

Granted

2021-01-19

Filed 2017

Owner

GOOGLE INC.

AI components

3

ml · vision · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15624629

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for depth concatenation using a matrix computation unit. One of the methods includes: receiving a request to process network inputs to a neural network using an integrated circuit, the neural network comprising a depth concatenation neural network layer; and generating instructions that, when executed by the integrated circuit, cause the integrated circuit to perform operations comprising: for each spatial location in a first input tensor to the depth concatenation layer and a second input tensor to the depth concatenation layer: multiplying, using the matrix computation unit, a second depth vector for the spatial location by a shift weight matrix for the depth concatenation layer to generate a shifted second depth vector; and adding the shifted second depth vector and a first input depth vector for the spatial location to generate a concatenated depth vector.

Machine learningVisionAI hardwareG06N 3/063G06F 17/16G06N 3/0442G06N 3/0464G06N 3/065G06N 3/045

AI classification

Machine learning1.00
AI hardware1.00
Vision0.66
Natural language0.14
Knowledge representation0.07
Speech0.01
Evolutionary computation0.00
Planning0.00

Ownership

GOOGLE INC.

assignment · 430800027

Assignors

GULLAND, WILLIAM JOHN, YOUNG, REGINALD CLIFFORD

On an employer assignment, the assignors are typically the inventors.

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