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Fix Codacy Warnings (#477)

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Co-authored-by: Dario Coscia <dariocos99@gmail.com>
This commit is contained in:
Filippo Olivo
2025-03-10 15:38:45 +01:00
committed by Nicola Demo
parent e3790e049a
commit 4177bfbb50
157 changed files with 3473 additions and 3839 deletions
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32
tests/test_model/test_feed_forward.py
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@@ -12,22 +12,25 @@ 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],
func=torch.nn.ReLU)
FeedForward(input_vars,
output_vars,
layers=[10, 20, 5, 2],
func=[torch.nn.ReLU, torch.nn.ReLU, None, torch.nn.Tanh])
FeedForward(
input_vars, output_vars, layers=[10, 20, 5, 2], func=torch.nn.ReLU
)
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],
func=[torch.nn.ReLU, torch.nn.ReLU])
FeedForward(
input_vars,
output_vars,
layers=[10, 20, 5, 2],
func=[torch.nn.ReLU, torch.nn.ReLU],
)
def test_forward():
@@ -36,11 +39,12 @@ def test_forward():
output_ = fnn(data)
assert output_.shape == (data.shape[0], dim_out)
def test_backward():
dim_in, dim_out = 3, 2
fnn = FeedForward(dim_in, dim_out)
data.requires_grad = True
output_ = fnn(data)
l=torch.mean(output_)
l = torch.mean(output_)
l.backward()
assert data._grad.shape == torch.Size([20,3])
assert data._grad.shape == torch.Size([20, 3])