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Remove warnings generated in test_graphmask_explainer.py and test_laplacian_lambda_max.py #9179

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Apr 11, 2024
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Remove warnings generated in test_graphmask_explainer.py and test_laplacian_lambda_max.py #9179

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42012e8
Remove warnings generated in `test_graphmask_explainer.py` and `test_…
drivanov Apr 9, 2024
04ea65c
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] Apr 9, 2024
a52a3f8
update
rusty1s Apr 11, 2024
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3 changes: 1 addition & 2 deletions torch_geometric/explain/algorithm/graphmask_explainer.py
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Original file line number Diff line number Diff line change
@@ -1,7 +1,6 @@
import math
from typing import List, Optional, Tuple, Union

import numpy as np
import torch
import torch.nn.functional as F
from torch import Tensor
Expand Down Expand Up @@ -162,7 +161,7 @@ def _hard_concrete(
(torch.log(u) - torch.log(1 - u) + input_element) / beta)

penalty = torch.sigmoid(input_element -
beta * np.math.log(-gamma / zeta))
beta * math.log(-gamma / zeta))
else:
s = torch.sigmoid(input_element)
penalty = torch.zeros_like(input_element)
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2 changes: 1 addition & 1 deletion torch_geometric/transforms/laplacian_lambda_max.py
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Original file line number Diff line number Diff line change
Expand Up @@ -62,7 +62,7 @@ def forward(self, data: Data) -> Data:
eig_fn = eigsh

lambda_max = eig_fn(L, k=1, which='LM', return_eigenvectors=False)
data.lambda_max = float(lambda_max.real)
data.lambda_max = lambda_max.real.item()

return data

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