code: def __init__(self):
      super().__init__()
      self.conv = nn.Conv1d(
          in_channels=16, out_channels=8, kernel_size=2
      )
      self.gn = nn.GroupNorm(num_groups=2, num_channels=8)
      self.fc = nn.Linear(in_features=4, out_features=8)
      self.ln = nn.LayerNorm([8, 8])
  
file_path: opacus/opacus/tests/utils.py
imports: import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 1 to create a new BasicSupportedModule object from inherited base classes: nn with example: obj = BasicSupportedModule()