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PINA/tests/test_layers/test_spectral_conv.py
Dario Coscia 8b7b61b3bd Documentation for v0.1 version (#199)
* Adding Equations, solving typos
* improve _code.rst
* the team rst and restuctore index.rst
* fixing errors

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Co-authored-by: Dario Coscia <dariocoscia@dhcp-015.eduroam.sissa.it>
2023-11-17 09:51:29 +01:00

49 lines
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Python

from pina.model.layers import SpectralConvBlock1D, SpectralConvBlock2D, SpectralConvBlock3D
import torch
input_numb_fields = 3
output_numb_fields = 4
batch = 5
def test_constructor_1d():
SpectralConvBlock1D(input_numb_fields=input_numb_fields,
output_numb_fields=output_numb_fields,
n_modes=5)
def test_forward_1d():
sconv = SpectralConvBlock1D(input_numb_fields=input_numb_fields,
output_numb_fields=output_numb_fields,
n_modes=4)
x = torch.rand(batch, input_numb_fields, 10)
sconv(x)
def test_constructor_2d():
SpectralConvBlock2D(input_numb_fields=input_numb_fields,
output_numb_fields=output_numb_fields,
n_modes=[5, 4])
def test_forward_2d():
sconv = SpectralConvBlock2D(input_numb_fields=input_numb_fields,
output_numb_fields=output_numb_fields,
n_modes=[5, 4])
x = torch.rand(batch, input_numb_fields, 10, 10)
sconv(x)
def test_constructor_3d():
SpectralConvBlock3D(input_numb_fields=input_numb_fields,
output_numb_fields=output_numb_fields,
n_modes=[5, 4, 4])
def test_forward_3d():
sconv = SpectralConvBlock3D(input_numb_fields=input_numb_fields,
output_numb_fields=output_numb_fields,
n_modes=[5, 4, 4])
x = torch.rand(batch, input_numb_fields, 10, 10, 10)
sconv(x)