code: def forward(self, x):
      try:
          self.baseNet.flatten_parameters()
      except RuntimeError:
          pass
      x, h = self.baseNet(x, self.hidden)
      if self.keep_hidden:
          if isinstance(h, tuple):
              self.hidden = tuple(x.detach() for x in h)
          else:
              self.hidden = h.detach()
      return x
  
imports: import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 3 for calling the CPCAR obj's underlying member method code with example usage: obj.forward(x) and returns: x