Description
Provides optimized PyTree utilities for working with nested Python data structures used in numerical and machine-learning libraries. It helps flatten, map, and transform structured parameter trees efficiently.
PyTree transformations can affect model parameters or training state. Developers should test structure handling carefully so values stay aligned with the intended model fields.