code: def __deepcopy__(self, memo):
      if id(self) in memo:
          return memo[id(self)]
      else:
          result = type(self)(self.data.clone(), self.requires_grad)
          memo[id(self)] = result
          return result
  
file_path: ivy/ivy/functional/frontends/torch/nn/parameter.py
imports: import ivy
  from ivy.functional.frontends.torch.tensor import Tensor
  import ivy.functional.frontends.torch
  from ivy.functional.ivy.gradients import _variable, _is_variable, _variable_data
label_desc: Use image node_id 2 for calling the Parameter obj's underlying member method code with example usage: obj.__deepcopy__(memo) and returns: memo, result