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US Patent 11138292 Circuit and method for computing depthwise convolution

Patent 11138292 was granted and assigned to Facebook on October, 2021 by the United States Patent and Trademark Office.

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Patent
Patent

Patent attributes

Patent Applicant
Facebook
Facebook
Current Assignee
Facebook
Facebook
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11138292
Date of Patent
October 5, 2021
Patent Application Number
20190516
Date Filed
May 16, 2019
Patent Citations Received
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US Patent 12118463 Weight value decoder of neural network inference circuit
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US Patent 12093696 Bus for transporting output values of a neural network layer to cores specified by configuration data
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US Patent 11468145 Storage of input values within core of neural network inference circuit
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US Patent 11481612 Storage of input values across multiple cores of neural network inference circuit
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US Patent 11501138 Control circuits for neural network inference circuit
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US Patent 11514136 Circuit for neural network convolutional calculation of variable feature and kernel sizes
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US Patent 11531727 Computation of neural network node with large input values
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US Patent 11531868 Input value cache for temporarily storing input values
...
Patent abstract

An electronic circuit performs depthwise convolution of an input matrix with a kernel matrix to generate an output matrix. In each of a plurality of rounds of operations, a row of kernel matrix elements is selected for the round of operations, and applied to the input matrix to obtain an intermediate data array corresponding to the selected row of kernel elements. The electronic circuit includes a plurality of subcircuits operable in parallel to generate, in each operation, a set of intermediate data elements in the intermediate data array. Each subcircuit generates a respective intermediate data element that is the sum of a respective row of the input matrix elements weighted by a set of weight elements including the selected row of kernel elements and at least one zero element. The selected row of kernel elements is successively shifted among the set of weight elements in the round of operations.

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