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Bug fix in InvertibleSigmoid #177

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Bug fix in InvertibleSigmoid #177

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ce2f19b
Bug fix InvertibleSigmoid
StefanWahl Jun 20, 2024
bcbc2bd
Bug fix
StefanWahl Jun 24, 2024
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6 changes: 4 additions & 2 deletions FrEIA/modules/fixed_transforms.py
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Original file line number Diff line number Diff line change
@@ -1,5 +1,5 @@
from . import InvertibleModule

from utils import sum_except_batch
from typing import Union, Iterable, Tuple

import numpy as np
Expand Down Expand Up @@ -175,8 +175,10 @@ def forward(self, x_or_z: Iterable[torch.Tensor], c: Iterable[torch.Tensor] = No
# the following is the diagonal Jacobian as sigmoid is an element-wise op
logJ = torch.log(1 / ((1 + torch.exp(_input)) * (1 + torch.exp(-_input))))
# determinant of a log diagonal Jacobian is simply the sum of its diagonals
detLogJ = logJ.sum(1)
detLogJ = sum_except_batch(logJ)

if not rev:
return ((result, ), detLogJ)
else:
return ((result, ), -detLogJ)