code: def __init__(self, dim_encoded, dim_output, keep_hidden, num_layers):
      super(CPCAR, self).__init__()
      self.baseNet = nn.LSTM(
          dim_encoded,
          dim_output,
          num_layers=num_layers,
          batch_first=True,
      )
      self.hidden = None
      self.keep_hidden = keep_hidden
  
imports: import soundfile
  import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 1 to create a new CPCAR object from inherited base classes: nn with example: obj = CPCAR(dim_encoded, dim_output, keep_hidden, num_layers)