oneflow.sigmoid

oneflow.sigmoid(input)Tensor

Applies the element-wise function \(\text{Sigmoid}(x) = \frac{1}{1 + \exp(-x)}\)

See Sigmoid for more details.

For examples:

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

>>> x = np.array([0.81733328, 0.43621480, 0.10351428])
>>> input = flow.tensor(x, dtype=flow.float32)
>>> out = flow.nn.functional.sigmoid(input)
>>> out
tensor([0.6937, 0.6074, 0.5259], dtype=oneflow.float32)