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torch / nn / torch.nn

LogSigmoid¶

class torch.nn.LogSigmoid[source]¶

Applies the element-wise function:

\text{LogSigmoid}(x) = \log\left(\frac{ 1 }{ 1 + \exp(-x)}\right)

Shape:

Input: $(N, *)$ where * means, any number of additional dimensions
Output: $(N, *)$ , same shape as the input

../_images/LogSigmoid.png

Examples:

>>> m = nn.LogSigmoid()
>>> input = torch.randn(2)
>>> output = m(input)

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