Tensorflow 2.x backend: multiple outputs extension of DeepONet #1533
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Owner
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Use a new PR for the example. |
This was referenced Nov 7, 2023
Contributor
Author
See #1550 |
Owner
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Please resolve the conflicts. |
# Conflicts: # deepxde/data/pde_operator.py
lululxvi
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Owner
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have you tested the code for data-drive and physics-informed cases? |
Contributor
Author
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Yes, I tested both cases. But in real research I use Tensorflow 1.x and don't work much with this branch. |
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Owner
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Revise the code using the TensorFlow v1 example. |
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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 2.x backend.