|
|
| """Activation modules."""
|
|
|
| import torch
|
| import torch.nn as nn
|
|
|
|
|
| class AGLU(nn.Module):
|
| """Unified activation function module from https://github.com/kostas1515/AGLU."""
|
|
|
| def __init__(self, device=None, dtype=None) -> None:
|
| """Initialize the Unified activation function."""
|
| super().__init__()
|
| self.act = nn.Softplus(beta=-1.0)
|
| self.lambd = nn.Parameter(nn.init.uniform_(torch.empty(1, device=device, dtype=dtype)))
|
| self.kappa = nn.Parameter(nn.init.uniform_(torch.empty(1, device=device, dtype=dtype)))
|
|
|
| def forward(self, x: torch.Tensor) -> torch.Tensor:
|
| """Compute the forward pass of the Unified activation function."""
|
| lam = torch.clamp(self.lambd, min=0.0001)
|
| return torch.exp((1 / lam) * self.act((self.kappa * x) - torch.log(lam)))
|
|
|
