code: def state_dict(self):
      state = {
          "weights": self.model.get_weights(),
          "config": {
              "past_seq_len": self.past_seq_len,
              "feature_num": self.feature_num,
              "future_seq_len": self.future_seq_len,
              "target_col_num": self.target_col_num,
              "metric": self.metric,
              "latent_dim": self.latent_dim,
              "batch_size": self.batch_size,
          },
      }
      return state
  
imports: import pickle
  import numpy
  from tensorflow.keras.models import Model
  from tensorflow.keras.layers import Input, LSTM, Dense
  import tensorflow.keras
  from zoo.orca.automl.model.abstract import BaseModel
  from zoo.orca.automl.metrics import Evaluator
label_desc: Use image node_id 14 for calling the LSTMSeq2Seq obj's underlying member method code with example usage: obj.state_dict() and returns: state