Sigmoid

class torch.nn.modules.activation.Sigmoid(*args, **kwargs) [source]

Applies the Sigmoid function element-wise.

$$\text{Sigmoid}(x) = \sigma(x) = \frac{1}{1 + \exp(-x)}$$

Shape:

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

Examples:

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

forward(input) [source]

Runs the forward pass.

Return type

Tensor