DEEP NEURAL NETWORK ARCHITECTURE USING PIECEWISE LINEAR APPROXIMATION

    公开(公告)号:US20250124266A1

    公开(公告)日:2025-04-17

    申请号:US18989154

    申请日:2024-12-20

    Abstract: In one embodiment, an apparatus comprises a log circuit to: identify an input associated with a logarithm operation, wherein the logarithm operation is to be performed by the log circuit using piecewise linear approximation; identify a first range that the input falls within, wherein the first range is identified from a plurality of ranges associated with a plurality of piecewise linear approximation (PLA) equations for the logarithm operation, and wherein the first range corresponds to a first equation of the plurality of PLA equations; compute a result of the first equation based on a plurality of operands associated with the first equation; and return an output associated with the logarithm operation, wherein the output is generated based at least in part on the result of the first equation.

    Deep neural network architecture using piecewise linear approximation

    公开(公告)号:US12217155B2

    公开(公告)日:2025-02-04

    申请号:US18455026

    申请日:2023-08-24

    Abstract: In one embodiment, an apparatus comprises a log circuit to: identify an input associated with a logarithm operation, wherein the logarithm operation is to be performed by the log circuit using piecewise linear approximation; identify a first range that the input falls within, wherein the first range is identified from a plurality of ranges associated with a plurality of piecewise linear approximation (PLA) equations for the logarithm operation, and wherein the first range corresponds to a first equation of the plurality of PLA equations; compute a result of the first equation based on a plurality of operands associated with the first equation; and return an output associated with the logarithm operation, wherein the output is generated based at least in part on the result of the first equation.

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