Tensorflow 1.x backend: multiple outputs extension of DeepONet #1532
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Owner
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Use a separate PR for the example. |
Contributor
Author
See #1549 |
lululxvi
reviewed
Nov 14, 2023
lululxvi
reviewed
Nov 14, 2023
lululxvi
reviewed
Nov 14, 2023
lululxvi
reviewed
Nov 14, 2023
lululxvi
reviewed
Nov 14, 2023
lululxvi
reviewed
Nov 14, 2023
lululxvi
reviewed
Nov 14, 2023
lululxvi
reviewed
Nov 14, 2023
lululxvi
reviewed
Nov 14, 2023
lululxvi
reviewed
Nov 14, 2023
lululxvi
reviewed
Nov 14, 2023
lululxvi
reviewed
Nov 14, 2023
lululxvi
reviewed
Nov 14, 2023
lululxvi
reviewed
Nov 14, 2023
Owner
|
Have you tested the code for both data-driven and physics-informed cases for all splitting methods? |
Contributor
Author
Yes, I use it for both cases in my research. |
lululxvi
reviewed
Nov 17, 2023
lululxvi
reviewed
Nov 29, 2023
lululxvi
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Nov 30, 2023
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This pull request suggests an enhancement to DeepONet, addressing its current limitation of producing only a scalar output, which restricts its applicability in various tasks. The functionality of handling multiple outputs has been added to both the DeepONet and DeepONetCartesianProd classes.
This is an implementation for TensorFlow 1.x backend.