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Use more numerically stable log1p in examples/scanvi/scanvi.py #3397

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Sep 18, 2024
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Use more numerically stable log1p in examples/scanvi/scanvi.py #3397

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2 changes: 1 addition & 1 deletion examples/scanvi/scanvi.py
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Original file line number Diff line number Diff line change
Expand Up @@ -104,7 +104,7 @@ def forward(self, x):
# Transform the counts x to log space for increased numerical stability.
# Note that we only use this transform here; in particular the observation
# distribution in the model is a proper count distribution.
x = torch.log(1 + x)
x = torch.log1p(x)
h1, h2 = split_in_half(self.fc(x))
z2_loc, z2_scale = h1[..., :-1], softplus(h2[..., :-1])
l_loc, l_scale = h1[..., -1:], softplus(h2[..., -1:])
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