code: def __call__(self):
      kws = [
          # labels
          self._labels.params,
          # centers_new
          {
              "shape": (self._n_clusters, self._x.shape[1]),
              "dtype": self._centers_old.dtype,
              "order": TensorOrder.C_ORDER,
          },
          # weight_in_clusters
          {
              "shape": (self._n_clusters,),
              "dtype": self._centers_old.dtype,
              "order": TensorOrder.C_ORDER,
          },
      ]
      return self.new_tileables(
          [getattr(self, field) for field in self._input_fields],
          kws=kws,
      )
  
imports: import numpy
  from sklearn.utils.extmath import row_norms
  from ...None import opcodes
  from ...core import OutputType, recursive_tile
  from ...core.operand import OperandStage
  from ...serialization.serializables import KeyField, BoolField, Int32Field
  from ...tensor.array_utils import as_same_device, device, sparse
  from ...tensor.core import TensorOrder
  from ...utils import has_unknown_shape
  from ..operands import LearnOperand, LearnOperandMixin
  from ._k_means_common import _execute_merge_update, _relocate_empty_clusters
  from ._k_means_fast import update_center
  from ._k_means_lloyd import update_chunk_dense, update_chunk_sparse
label_desc: Use image node_id 12 for calling the KMeansLloydUpdate obj's underlying member method code with example usage: obj.__call__() and returns: self