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# Ultralytics π AGPL-3.0 License - https://ultralytics.com/license | |
"""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))) # lambda parameter | |
self.kappa = nn.Parameter(nn.init.uniform_(torch.empty(1, device=device, dtype=dtype))) # kappa parameter | |
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))) | |