Operator-Learning Models API¶

deepuq.models.operator_learning ¶

DeepONet-style operator-learning models for fixed query grids.

The implementations here keep forward compatible with the package's current LaplaceWrapper convention: the default call accepts only the branch-input tensor and evaluates the learned operator on an internally stored query grid.

DeepONet1D ¶

Bases: _DeepONetFixedGrid

A compact DeepONet for 1D operator learning on a fixed query grid.

DeepONet2D ¶

Bases: _DeepONetFixedGrid

A compact DeepONet for 2D operator learning on a fixed query grid.