Tensorflow 1.x backend: multiple outputs extension of DeepONet #1532
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Use a separate PR for the example. |
See #1549 |
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Have you tested the code for both data-driven and physics-informed cases for all splitting methods? |
Yes, I use it for both cases in my research. |
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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.