Tanhshrink

class torch.nn.Tanhshrink(*args, **kwargs)

Applies the element-wise Tanhshrink function.

$$\text{Tanhshrink}(x)=x-\tanh (x)$$

Shape:

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

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

Examples:

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

forward(input)

Runs the forward pass.

Return type

Tensor