Hypernetwork training method and device, electronic device and storage medium

An electronic device, comprising:

• a processor;
• and
• a memory configured to store instructions executable by the processor,
• wherein the processor is configured to:
• acquire a multipath neural subnetwork based on a preconstructed initial hypernetwork;
• train the multipath neural subnetwork to update a weight parameter of each substructure in the multipath neural subnetwork;
• synchronize the weight parameter of each substructure in the multipath neural subnetwork to the preconstructed initial hypernetwork;
• and
• determine whether the preconstructed initial hypernetwork converges, and if it is determined that the preconstructed initial hypernetwork does not converge, re-execute the acquiring, the training, the synchronizing, and the determining, to obtain a target hypernetwork.

A non-transitory readable storage medium having stored thereon instructions that, when executed by a processor of a device, cause the device to perform a hypernetwork training method, the method comprising:

• acquiring a multipath neural subnetwork based on a preconstructed initial hypernetwork;
• training the multipath neural subnetwork to update a weight parameter of each substructure in the multipath neural subnetwork;
• synchronizing the weight parameter of each substructure in the multipath neural subnetwork to the preconstructed initial hypernetwork;
• and
• determining whether the preconstructed initial hypernetwork converges, and if it is determined that the preconstructed initial hypernetwork does not converge, re-executing the acquiring, the training, the synchronizing, and the determining, to obtain a target hypernetwork.