code: def __init__(self, num_features, eps=1e-5, affine=True):
      super().__init__()
      self.num_features = num_features
      self.affine = affine
      self.eps = eps
  
      if self.affine:
          self.gamma = nn.Parameter(
              torch.Tensor(num_features).uniform_()
          )
          self.beta = nn.Parameter(torch.zeros(num_features))
  
imports: import torch
  import torch.nn
  import torchvision.utils
  from torch.nn import functional
label_desc: Use image node_id 1 to create a new LayerNormConv2d object from inherited base classes: nn with example: obj = LayerNormConv2d(num_features, eps, affine)