code: def __init__(
      self,
      data_size,
      initial_noise_size,
      noise_size,
      hidden_size,
      mlp_size,
      num_layers,
  ):
      super().__init__()
      self._initial_noise_size = initial_noise_size
      self._hidden_size = hidden_size
  
      self._initial = MLP(
          initial_noise_size,
          hidden_size,
          mlp_size,
          num_layers,
          tanh=False,
      )
      self._func = GeneratorFunc(
          noise_size, hidden_size, mlp_size, num_layers
      )
      self._readout = torch.nn.Linear(hidden_size, data_size)
  
imports: import fire
  import matplotlib.pyplot
  import torch
  import torch.optim.swa_utils
  import torchcde
  import torchsde
  import tqdm
label_desc: Use image node_id 1 to create a new Generator object from inherited base classes: torch.nn with example: obj = Generator(data_size, initial_noise_size, noise_size, hidden_size, mlp_size, num_layers)