Method and apparatus with neural network parameter quantization
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United States of America Patent
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Feb 28, 2023
Grant Date -
Apr 25, 2019
app pub date -
Oct 15, 2018
filing date -
Oct 19, 2017
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Abstract
Provided is a processor implemented method that includes performing training or an inference operation with a neural network by obtaining a parameter for the neural network in a floating-point format, applying a fractional length of a fixed-point format to the parameter in the floating-point format, performing an operation with an integer arithmetic logic unit (ALU) to determine whether to round off a fixed point based on a most significant bit among bit values to be discarded after a quantization process, and performing an operation of quantizing the parameter in the floating-point format to a parameter in the fixed-point format, based on a result of the operation with the ALU.
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