To enable background dispatch for your custom mini-batch datastore, you must ensure that it adheres to the requirements of the "Background Dispatch" interface. Your custom datastore should inherit from "matlab.io.datastore.BackgroundDispatchable" and implement the method to start reading background data. The datastore should support being divided into smaller parts that can be read independently, which is required for background dispatch.
For built-in training functions like "trainNetwork", set the "DispatchInBackground" option to "true" in the "trainingOptions" function. For custom training loops, use a "minibatchqueue" with your custom datastore and set the "DispatchInBackground" property to "true".
You must have MATLAB's Parallel Computing Toolbox because background dispatch relies on parallel workers.
Find this documentation and MATLAB Answer below for your reference:
