oneflow.nn.LogSigmoid

class oneflow.nn.LogSigmoid

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

For example:

>>> import numpy as np
>>> import oneflow as flow

>>> x = np.array([-0.5, 0, 0.5]).astype(np.float32)
>>> input = flow.Tensor(x)
>>> logsigmoid = flow.nn.LogSigmoid()

>>> out = logsigmoid(input)
>>> out
tensor([-0.9741, -0.6931, -0.4741], dtype=oneflow.float32)