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how exactly does the train_x work? #1576
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So you are diving into the source code. Yes, the output units are constrained using ICs and BCs.
Can you paste the link to the relevant code?
Again, a link to the particular code might be helpful.
What do you mean by beginning of |
I read the explanations of train_x and it said that the train_x is ordered by bc_points containing BC and initial points and domain points. For example when there is a system of PDE with two outputs y[:,0:1], y[:,1:2]. If the training data has 2000 BC and initial points AND 3000 domain points, the train_x would have 5000 training points. My question is that why both outputs have the same shape since their initial and boundary conditions are different? |
I don't really understand you question and what you are confused about. An easy solution is that you can use a simple 1D example as a test case, and print |
Dear @lululxvi
Thanks for your help and response.
I want to know how
train_x
works for a problem.In a system of PDE equations with two outputs component is used to define the boundary and initial conditions separately. the
train_x
concludes all the BC and initial points and domain points and the shape of the each output will betrain_x
. So how does component work and why the initial and BCs of each component exist in thebatch_size
for both outputs ? More accurately asking, How does thebc_points
work at the beginning of thetrain_x
?The text was updated successfully, but these errors were encountered: