code: def forward(self, input_seq):
      lstm_out = input_seq
      for layer in range(self.layer_num):
          lstm_out, _ = self.lstm[layer](lstm_out)
      out = self.fc(lstm_out[:, -1, :])
      out = out.view(out.shape[0], 1, out.shape[1])
      return out
  
file_path: BigDL/python/chronos/src/bigdl/chronos/model/VanillaLSTM_pytorch.py
imports: import torch
  import torch.nn
  from pytorch_lightning import seed_everything
  from bigdl.chronos.pytorch.model_wrapper.normalization import NormalizeTSModel
  from bigdl.chronos.pytorch.model_wrapper.decomposition import DecompositionTSModel
label_desc: Use image node_id 3 for calling the LSTMModel obj's underlying member method code with example usage: obj.forward(input_seq) and returns: out