# Modified for SplatAnything: inference-only release.
from typing import Union
import torch
from torch import Tensor
from torch import nn

class LayerScale(nn.Module):

    def __init__(self, dim: int, init_values: Union[float, Tensor]=1e-05, inplace: bool=False) -> None:
        super().__init__()
        self.inplace = inplace
        self.gamma = nn.Parameter(init_values * torch.ones(dim))

    def forward(self, x: Tensor) -> Tensor:
        return x.mul_(self.gamma) if self.inplace else x * self.gamma