text: """Contains ScaleModule."""
  from torch import Tensor
  from torch.nn import Module
  
  
  class ScaleModule(Module):
      """Scale Module scales the input by a constant."""
  
      def __init__(self, weight: float = 1.0):
          """Store scalar weight.
  
          Args:
              weight: Initial value for weight. Defaults to 1.0.
  
          Raises:
              ValueError: if weight is no float
          """
          super().__init__()
          if not isinstance(weight, float):
              raise ValueError("Weight must be float.")
          self.weight: float = weight
  
      def forward(self, input: Tensor) -> Tensor:
          """Defines forward pass.
  
          Args:
              input: input
  
          Returns:
              product of input and weight
          """
          return input * self.weight
  