code: def tucker_copy(self):
      return TuckerTensor(
          (
              deepcopy(self.core),
              [
                  deepcopy(self.factors[i])
                  for i in range(len(self.factors))
              ],
          )
      )
  
imports: from .base import FactorizedTensor
  import ivy
  from copy import deepcopy
  import warnings
label_desc: Use image node_id 9 for calling the TuckerTensor obj's underlying member method code with example usage: obj.tucker_copy() and returns: TuckerTensor