Model life cycle with autogluon

hi all
i have tested some datasets with autogluon with successes and failures here are my questions:
i have learnt to save and load tasks and use them to predict
1- how can i turn dataset into batches to avoid memory errors ?
2- how can i warm start fitting using new batches of data ? or every time i fit a batch of data it overwrites and resets training ?