code: def cp_copy(self):
      return CPTensor(
          (
              T.copy(self.weights),
              [
                  T.copy(self.factors[i])
                  for i in range(len(self.factors))
              ],
          )
      )
  
imports: from .None import backend
  from .base import fold, tensor_to_vec
  from ._factorized_tensor import FactorizedTensor
  from .tenalg import khatri_rao, unfolding_dot_khatri_rao
  from .metrics.factors import congruence_coefficient
  import numpy
label_desc: Use image node_id 10 for calling the CPTensor obj's underlying member method code with example usage: obj.cp_copy() and returns: CPTensor