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I am trying to solve my own specific problem. The data.sampler.boundary_condition contains code for Dirichlet and Periodic boundary conditions.
It is not clear to me how one can add custom boundary conditions in the form of functions, such as:
p(0, t) = a
The tutorial does not include this scenario, neither the train.py
files for any of the provided examples.
I suppose I should build this function inside boundary_condition.py
?
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