Dynamic Exponent Bias Method for Neural Network Training
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United States of America
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Apr 10, 2025
app pub date -
Oct 5, 2023
filing date -
Oct 5, 2023
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Abstract
A method that may be computer implemented converts a tensor value from a first format to a second format and trains a neural network. The method determines a maximum exponent code in the first format and subtracts a first bias to obtain the highest needed exponent. It determines a second bias from the highest available code (HAC) in the second format and the HNE, and converts the tensor value from the first format to the second format by using the second bias instead of the first bias. The method uses the second format to train the neural network. The method may round the mantissa of the tensor value in the first format to obtain a rounded mantissa of the tensor value for the second format.
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