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import torch | |
import torch.nn as nn | |
class LayerScale(nn.Module): | |
def __init__( | |
self, | |
dim: int, | |
init_values: float | torch.Tensor = 1e-5, | |
inplace: bool = False, | |
) -> None: | |
super().__init__() | |
self.inplace = inplace | |
self.gamma = nn.Parameter(init_values * torch.ones(dim)) | |
def forward(self, x: torch.Tensor) -> torch.Tensor: | |
return x.mul_(self.gamma) if self.inplace else x * self.gamma | |