code: def __init__(self, in_features, out_features):
      super().__init__()
      self.net = nn.Sequential(
          nn.Linear(in_features, out_features),
          nn.LayerNorm([out_features]),
          nn.ReLU(inplace=True),
      )
  
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 FCLayer object from inherited base classes: nn with example: obj = FCLayer(in_features, out_features)