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)