Tanh

class dragon.vm.torch.nn.Tanh(inplace=False)[source]

Apply the tanh function.

The Tanh function is defined as:

\[\text{Tanh}(x) = \frac{\exp(x) - \exp(-x)}{\exp(x) + \exp(-x)} \]

Examples:

m = torch.nn.Tanh()
x = torch.randn(2, 3)
y = m(x)

__init__

Tanh.__init__(inplace=False)[source]

Create a Tanh module.

Parameters:
  • inplace (bool, optional, default=False) – Whether to do the operation in-place.