code: def __init__(
      self, input_size, hidden_size, 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 = MultiHeadClassifier(hidden_size)
  
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 MTSimpleSequenceClassifier object from inherited base classes: MultiTaskModule with example: obj = MTSimpleSequenceClassifier(input_size, hidden_size, rnn_layers, batch_first)