code: def __init__(self, input_size, hidden_size, num_layers, num_classes):
      super(RNN, self).__init__()
      self.hidden_size = hidden_size
      self.num_layers = num_layers
      self.lstm = nn.LSTM(
          input_size, hidden_size, num_layers, batch_first=True
      )
      self.fc = nn.Linear(hidden_size, num_classes)
  
imports: import torch
  import torch.nn
  import torchvision
  import torchvision.transforms
label_desc: Use image node_id 1 to create a new RNN object from inherited base classes: nn with example: obj = RNN(input_size, hidden_size, num_layers, num_classes)