Tanh

class torch.nn.modules.activation.Tanh(*args, **kwargs)

Applies the Hyperbolic Tangent (Tanh) function element-wise.

Tanh is defined as:

$$\text{Tanh}(x) = \tanh(x) = \frac{\exp(x) - \exp(-x)} {\exp(x) + \exp(-x)}$$

Shape:

• Input: $(*)$, where $*$ means any number of dimensions.

• Output: $(*)$, same shape as the input.

Examples:

>>> m = nn.Tanh()
>>> input = torch.tensor([-2.0, -0.5, 0.0, 0.5, 2.0])
>>> m(input)
tensor([-0.9640, -0.4621,  0.0000,  0.4621,  0.9640])

forward(input)

Runs the forward pass.

Return type:

Tensor