Instruction Set Architecture for Implementing Linear Activation Functions in Neural Networks
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United States of America Patent
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Nov 2, 2023
app pub date -
Apr 28, 2022
filing date -
Apr 28, 2022
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Abstract
This application is directed to using a single instruction to initiate a sequence of computational operations related to a neural network activation function. An electronic device receives a single instruction to apply a linear activation operation to a set of first elements stored in one or more input vector registers. In response to the single instruction, the linear activation operation is implemented on the set of first elements to generate a set of output elements. For each first element, the electronic device detects a sign value of the respective first element, selects a respective scalar from one or more scalars based on the sign value, and applies the linear activation operation on the respective first element based on the selected respective scalar and a bias value to generate a respective element of the set of output elements. The electronic device quantizes the set of output elements.
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