dde.gradients support 3D outputs #1928
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Update example of heat equation (lululxvi#706)
Add document for Lorenz inverse with exogenous input (lululxvi#709)
OperatorPredictor supports backends tensorflow.compat.v1, tensorflow,…
… method of Lr decay in Pytorch
Support Python 3.12
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This PR should only modify dde.gradients, not pde_operator.py. |
update to latest version
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You need to test all backends. |
The only case where the output is 3D is shown to be supported only by tensorflow v2 and pytorch https://github.com/lululxvi/deepxde/blob/master/examples/operator/stokes_aligned_pideeponet.py |
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Not necessary testing PI-DeepONet. You can manually construct a function, and jus test if dde.gradients works correctly. |
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