Methods and Apparatus For Recomputing Neural Networks
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United States of America
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Feb 6, 2025
app pub date -
Jul 10, 2024
filing date -
Jul 10, 2024
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Abstract
Disclosed are systems and methods for processing a multilayer neural network incorporating skip connections while reducing the memory footprint and processing time of processing a neural network. The method comprises loading within a memory partition with a portion of an input tensor and a portion of layer weights associated with computing a portion of the one or more intermediate layer tensors associated with a first portion of the skip connection tensor. Next, a neural processing unit is used to recompute portions of the skip connection tensor using the portion of the input tensor and associated weights. Upon completion, the memory utilized for the recomputing is free for further computations.
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