Tanhshrink# class torch.nn.Tanhshrink(*args, **kwargs)[source]# Applies the element-wise Tanhshrink function. Tanhshrink(x)=x−tanh(x)\text{Tanhshrink}(x) = x - \tanh(x) Tanhshrink(x)=x−tanh(x) Shape: Input: (∗)(*)(∗), where ∗*∗ means any number of dimensions. Output: (∗)(*)(∗), same shape as the input. Examples: >>> m = nn.Tanhshrink() >>> input = torch.randn(2) >>> output = m(input)
Tanhshrink# class torch.nn.Tanhshrink(*args, **kwargs)[source]# Applies the element-wise Tanhshrink function. Tanhshrink(x)=x−tanh(x)\text{Tanhshrink}(x) = x - \tanh(x) Tanhshrink(x)=x−tanh(x) Shape: Input: (∗)(*)(∗), where ∗*∗ means any number of dimensions. Output: (∗)(*)(∗), same shape as the input. Examples: >>> m = nn.Tanhshrink() >>> input = torch.randn(2) >>> output = m(input)