Comments (1)
Hey, @adsmendesdaniel!
Let's start with the structure of the network. In fact, the default network architecture depends on the dimensionality of the problem. For, say, 2-dimensional pde-problem, the network will have a layout of
fa Rfa+
which stands for a fully connected network with skip-connection (R
for start of the skip and +
for the end); while for the 3-dimensional pde-problem, there will be an additional skip-block:
fa Rfa+ Rfa+
Note also, that whenever the default architecture is used, the width of the network can be regulated by a parameter layer_size
:
dg = Solver(config, layer_size=15)
As for the second part of your question: yes, it can be done as follows:
path = './'
dg.model.save(path)
dg_loaded = Solver(config) # the same config that was used for the original model initialization
dg_loaded.model.load(path)
Of course, it's not very pretty right now. Expect a better loading procedure soon!
Best,
Alex.
from pydens.
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