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Tensorflow 1.x backend: multiple outputs extension of DeepONet #1532

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Merged
merged 6 commits into from
Dec 1, 2023
Merged

Tensorflow 1.x backend: multiple outputs extension of DeepONet #1532

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a140a9a
Tensorflow 1.x backend: multiple outputs extension of DeepONet
vl-dud Oct 23, 2023
d672612
Remove the example
vl-dud Nov 7, 2023
5448e5e
Code refactoring
vl-dud Nov 15, 2023
2414883
Fix targets for DeepONetCartesianProd
vl-dud Nov 29, 2023
4af274b
Fix TripleCartesianProd dimension check
vl-dud Nov 29, 2023
913e8f1
Fix outputs for PDEOperatorCartesianProd
vl-dud Nov 30, 2023
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3 changes: 1 addition & 2 deletions deepxde/data/pde_operator.py
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Original file line number Diff line number Diff line change
Expand Up @@ -236,8 +236,7 @@ def _losses(self, outputs, loss_fn, inputs, model, num_func):

losses = []
for i in range(num_func):
out = outputs[i][:, None]

out = outputs[i] if model.net.num_outputs > 1 else outputs[i][:, None]
f = []
if self.pde.pde is not None:
f = self.pde.pde(inputs[1], out, model.net.auxiliary_vars[i][:, None])
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