code: def __init__(self, num_channels: int, eps: float = 1e-6) -> None:
      super().__init__()
      self.weight = nn.Parameter(torch.ones(num_channels))
      self.bias = nn.Parameter(torch.zeros(num_channels))
      self.eps = eps
  
imports: from __future__ import annotations
  import torch
  import torch.nn.functional
  from torch import nn
  from kornia.core import Module, Tensor, pad
label_desc: Use image node_id 1 to create a new LayerNorm2d object from inherited base classes: Module with example: obj = LayerNorm2d(num_channels, eps)