Intermediate Time Step Solution

[sumantkrsoni]

Hello @lululxvi
After training the time evolution problem :

• can we get the intermediate stage of results after training the model?

[lululxvi]

For example, you want to get the results every 1000 steps. There are a few ways to do:

1. You can train 1000 steps, and do something. Then train for the next 1000 steps.
2. You can save the trained network every certain steps, see the example Poisson_Dirichlet_1d.py. Then you can restore any intermediate network. See more at Data sampling strategy and model save/restore #57

[sumantkrsoni]

#57 helps me a lot.

Further, Suppose we have time interval T ( year) = (0 , 2) and 2D square geometry.

Then,

• how can we get the result at time 0.5, 1, 1.5, and at 2 Years?

Also,

• Can we plot the domain like:
  ( left edge is a matter of concern).

[lululxvi]

See Q: How can I use a trained model for new predictions? at https://deepxde.readthedocs.io/en/latest/user/questions_answers.html.

You can use a polygon to approximate the left boundary.

[sumantkrsoni]

Thanks @lululxvi , I got it.