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# Modified from: https://github.com/huggingface/pytorch-image-models/blob/main/timm/models/vision_transformer.py#L103-L110

from typing import Union

import torch
from torch import Tensor, nn


class LayerScale(nn.Module):
   def __init__(

      self,

      dim: int,

      init_values: Union[float, 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: Tensor) -> Tensor:
      return x.mul_(self.gamma) if self.inplace else x * self.gamma