The data shape of the triplet if the number of input functions of branch nets is more than one?

[WangYicunZJU]

Hello:
First of all, thank you very much for your excellent work!
I have met a little problem.
How to reshape the dataset (or change the code) if the number of input functions of branch nets is more than one?
Just like G_phi in this paper("DeepM&Mnet: Inferring the electroconvection multiphysics fields..."), (c+, c-) -->phi.
Or like G_rhoNO in this paper("DeepM&Mnet for hypersonics..."), (rho_N2, rho_O2) --> rho_NO.
Specifically, what about the data shape of the triplet?
Thanks in advance.

[lululxvi]

Good question. In the DeepMMnet paper, we simply concatenate the two functions into a long vector.

[WangYicunZJU]

Hello Dr. Lu,
It is very nice to get your reply.
Following your answer, I think the data of the branch nets may be like this:
[ u1(x1), ..., u1(xm) ] for one input function u1;
[ u1(x1), ..., u1(xm), u2(x1), ..., u2(xm) ] for two input function u1 & u2.
Or like this:
[ u1(x1), u2(x1),..., u1(xm), u2(xm) ] ?
I think the former seems to be the case. Do I have the correct understanding?
I am looking forward to your reply.
Thanks in advance.

[lululxvi]

Yes, we use the former.

[WangYicunZJU]

OK, Dr. Lu.
I think I have got it. Thanks again!