How DeepONet provides multiple outputs

[xuliang5115]

Professor Lu: For a complex output problem, I divided into two networks with the same structure and hyperparameters for training. The previous issue has been resolved. So, i need put model1 and model2 in two files. I use step method to reduce the dimension of Trunk net, the input of each step is the output of the two networks of the previous step. So there is a bug. I think it is necessary to train a network with two outputs at the same time. May i ask some relevant examples so i can change my code?

[xuliang5115]

I tried train two DeepONet to solve the problem like this...

[lululxvi]

Please see https://doi.org/10.1016/j.cma.2022.114778 3.1.6. Multiple outputs. There is no example of code online yet. You need to modify the code.