code: def __init__(
      self,
      input_size,
      hidden_size,
      n_classes,
      rnn_layers=1,
      batch_first=True,
  ):
      super().__init__()
      self.batch_first = batch_first
      self.rnn = torch.nn.LSTM(
          input_size,
          hidden_size,
          num_layers=rnn_layers,
          batch_first=batch_first,
      )
      self.classifier = torch.nn.Linear(hidden_size, n_classes)
  
file_path: avalanche/avalanche/models/simple_sequence_classifier.py
imports: import torch
  from avalanche.models.dynamic_modules import MultiTaskModule, MultiHeadClassifier
label_desc: Use image node_id 1 to create a new SimpleSequenceClassifier object from inherited base classes: torch.nn with example: obj = SimpleSequenceClassifier(input_size, hidden_size, n_classes, rnn_layers, batch_first)