Tanh# class torch.nn.modules.activation.Tanh(*args, **kwargs)[source]# Applies the Hyperbolic Tangent (Tanh) function element-wise. Tanh is defined as: Tanh(x)=tanh(x)=exp(x)−exp(−x)exp(x)+exp(−x)\text{Tanh}(x) = \tanh(x) = \frac{\exp(x) - \exp(-x)} {\exp(x) + \exp(-x)} Tanh(x)=tanh(x)=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.randn(2) >>> output = m(input) forward(input)[source]# Runs the forward pass. Return type Tensor
