8b7b61b3bd
* Adding Equations, solving typos * improve _code.rst * the team rst and restuctore index.rst * fixing errors --------- Co-authored-by: Dario Coscia <dariocoscia@dhcp-015.eduroam.sissa.it>
49 lines
1.4 KiB
Python
49 lines
1.4 KiB
Python
from pina.model.layers import FourierBlock1D, FourierBlock2D, FourierBlock3D
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import torch
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input_numb_fields = 3
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output_numb_fields = 4
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batch = 5
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def test_constructor_1d():
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FourierBlock1D(input_numb_fields=input_numb_fields,
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output_numb_fields=output_numb_fields,
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n_modes=5)
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def test_forward_1d():
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sconv = FourierBlock1D(input_numb_fields=input_numb_fields,
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output_numb_fields=output_numb_fields,
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n_modes=4)
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x = torch.rand(batch, input_numb_fields, 10)
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sconv(x)
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def test_constructor_2d():
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FourierBlock2D(input_numb_fields=input_numb_fields,
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output_numb_fields=output_numb_fields,
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n_modes=[5, 4])
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def test_forward_2d():
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sconv = FourierBlock2D(input_numb_fields=input_numb_fields,
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output_numb_fields=output_numb_fields,
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n_modes=[5, 4])
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x = torch.rand(batch, input_numb_fields, 10, 10)
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sconv(x)
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def test_constructor_3d():
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FourierBlock3D(input_numb_fields=input_numb_fields,
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output_numb_fields=output_numb_fields,
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n_modes=[5, 4, 4])
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def test_forward_3d():
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sconv = FourierBlock3D(input_numb_fields=input_numb_fields,
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output_numb_fields=output_numb_fields,
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n_modes=[5, 4, 4])
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x = torch.rand(batch, input_numb_fields, 10, 10, 10)
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sconv(x)
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