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Documentation for v0.1 version (#199)

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* 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>
This commit is contained in:
Dario Coscia
2023-11-08 14:39:00 +01:00
committed by Nicola Demo
parent 3f9305d475
commit 8b7b61b3bd
144 changed files with 2741 additions and 1766 deletions
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14
tests/test_model/test_fnn.py
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@@ -3,7 +3,6 @@ import pytest
from pina.model import FeedForward
data = torch.rand((20, 3))
input_vars = 3
output_vars = 4
@@ -13,19 +12,24 @@ def test_constructor():
FeedForward(input_vars, output_vars)
FeedForward(input_vars, output_vars, inner_size=10, n_layers=20)
FeedForward(input_vars, output_vars, layers=[10, 20, 5, 2])
FeedForward(input_vars, output_vars, layers=[10, 20, 5, 2],
FeedForward(input_vars,
output_vars,
layers=[10, 20, 5, 2],
func=torch.nn.ReLU)
FeedForward(input_vars, output_vars, layers=[10, 20, 5, 2],
FeedForward(input_vars,
output_vars,
layers=[10, 20, 5, 2],
func=[torch.nn.ReLU, torch.nn.ReLU, None, torch.nn.Tanh])
def test_constructor_wrong():
with pytest.raises(RuntimeError):
FeedForward(input_vars, output_vars, layers=[10, 20, 5, 2],
FeedForward(input_vars,
output_vars,
layers=[10, 20, 5, 2],
func=[torch.nn.ReLU, torch.nn.ReLU])
def test_forward():
dim_in, dim_out = 3, 2
fnn = FeedForward(dim_in, dim_out)