公开(公告)号：US20250111201A1

公开(公告)日：2025-04-03

申请号：US18477184

申请日：2023-09-28

Applicant: Nvidia Corporation

Inventor： James Robert Lucas ,  Derek Lim ,  Haggai Maron ,  Marc Teva Law

IPC: G06N3/0455 ,  G06N3/08

Abstract: Embodiments are disclosed for a generating graph representations of neural networks to be used as input for one or more metanetworks. Architectural information can be extracted from a neural network and used to generate graph a representation. A subgraph can be generated for each layer of the neural network, where each subgraph includes nodes that correspond to neurons and connecting edges that correspond to weights. Each layer of the neural network can be associated with a bias node that is connected to individual nodes of that layer using edges representing bias weights. Various types of neural networks and layers of neural networks can be represented by such graphs, which are then used as inputs for metanetworks. The subgraphs can be combined into a comprehensive graph representation of the neural network, which can be provided as input to a metanetwork to generate network parameters or perform another such operation.