class_docstr: Scaling layer.
class_docstr_tok: ["Scaling","layer","."]
docstr: Process input.
code: def forward(self, inp: Tensor) -> Tensor:
      """Process input."""
      return (inp - self.shift) / self.scale
  
imports: import inspect
  import os
  from typing import List, NamedTuple, Optional, Tuple, Union
  import torch
  from torch import Tensor, nn
  from typing_extensions import Literal
  from torchmetrics.utilities.imports import _TORCHVISION_AVAILABLE, _TORCHVISION_GREATER_EQUAL_0_13
label_desc: Use image node_id 2 for calling the ScalingLayer obj's underlying member method code with example usage: obj.forward(inp) and returns: unknown