17464ceca9
* Adding Residual MLP * Adding test Residual MLP * Modified relative import Continuous Conv
23 lines
682 B
Python
23 lines
682 B
Python
import torch
|
|
import pytest
|
|
from pina.model import ResidualFeedForward
|
|
|
|
def test_constructor():
|
|
# simple constructor
|
|
ResidualFeedForward(input_dimensions=2, output_dimensions=1)
|
|
|
|
# wrong transformer nets (not 2)
|
|
with pytest.raises(ValueError):
|
|
ResidualFeedForward(input_dimensions=2, output_dimensions=1, transformer_nets=[torch.nn.Linear(2, 20)])
|
|
|
|
# wrong transformer nets (not nn.Module)
|
|
with pytest.raises(ValueError):
|
|
ResidualFeedForward(input_dimensions=2, output_dimensions=1, transformer_nets=[2, 2])
|
|
|
|
def test_forward():
|
|
x = torch.rand(10, 2)
|
|
model = ResidualFeedForward(input_dimensions=2, output_dimensions=1)
|
|
model(x)
|
|
|
|
|