code: def tile(cls, op: "KMeansElkanPostprocess"):
      assert len(op.centers_old.chunks) == 1
      assert len(op.centers_new.chunks) == 1
      assert len(op.center_shift.chunks) == 1
      assert len(op._weight_in_clusters.chunks) == 1
      assert op.lower_bounds.chunk_shape[1] == 1
  
      centers_old_chunk = op.centers_old.chunks[0]
      centers_new_chunk = op.centers_new.chunks[0]
      center_shift_chunk = op.center_shift.chunks[0]
      weight_in_clusters_chunk = op.weight_in_clusters.chunks[0]
  
      # calculate center shift first
      centers_new_chunk, center_shift_chunk = KMeansElkanPostprocess(
          centers_old=centers_old_chunk,
          centers_new=centers_new_chunk,
          center_shift=center_shift_chunk,
          weight_in_clusters=weight_in_clusters_chunk,
          stage=OperandStage.combine,
      ).new_chunks(
          [
              centers_old_chunk,
              centers_new_chunk,
              center_shift_chunk,
              weight_in_clusters_chunk,
          ],
          kws=[centers_new_chunk.params, center_shift_chunk.params],
      )
  
      upper_bounds_chunks, lower_bounds_chunks = [], []
      for upper_bound_chunk, lower_bound_chunk, labels_chunk in zip(
          op.upper_bounds.chunks,
          op.lower_bounds.chunks,
          op.labels.chunks,
      ):
          chunk_kws = [
              upper_bound_chunk.params,
              lower_bound_chunk.params,
          ]
          upper_bound_chk, lower_bound_chk = KMeansElkanPostprocess(
              center_shift=center_shift_chunk,
              lower_bounds=lower_bound_chunk,
              upper_bounds=upper_bound_chunk,
              labels=labels_chunk,
              stage=OperandStage.reduce,
          ).new_chunks(
              [
                  center_shift_chunk,
                  lower_bound_chunk,
                  upper_bound_chunk,
                  labels_chunk,
              ],
              kws=chunk_kws,
          )
          upper_bounds_chunks.append(upper_bound_chk)
          lower_bounds_chunks.append(lower_bound_chk)
  
      centers_new_kw = op.centers_new.params
      centers_new_kw["chunks"] = [centers_new_chunk]
      centers_new_kw["nsplits"] = op.centers_new.nsplits
      center_shift_kw = op.center_shift.params
      center_shift_kw["chunks"] = [center_shift_chunk]
      center_shift_kw["nsplits"] = op.center_shift.nsplits
      upper_bounds_kw = op.upper_bounds.params
      upper_bounds_kw["chunks"] = upper_bounds_chunks
      upper_bounds_kw["nsplits"] = op.upper_bounds.nsplits
      lower_bounds_kw = op.lower_bounds.params
      lower_bounds_kw["chunks"] = lower_bounds_chunks
      lower_bounds_kw["nsplits"] = op.lower_bounds.nsplits
      new_op = op.copy()
      return new_op.new_tileables(
          op.inputs,
          kws=[
              centers_new_kw,
              center_shift_kw,
              upper_bounds_kw,
              lower_bounds_kw,
          ],
      )
  
imports: import numpy
  from ...None import opcodes
  from ...core import OutputType, recursive_tile
  from ...core.operand import OperandStage
  from ...serialization.serializables import KeyField, Int32Field, BoolField
  from ...tensor.array_utils import as_same_device, device, cp, 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_elkan import init_bounds_dense, init_bounds_sparse, update_chunk_dense, update_chunk_sparse
  from ._k_means_fast import update_center, update_upper_lower_bounds
label_desc: Use image node_id 13 for calling the KMeansElkanPostprocess obj's underlying member method code with example usage: obj.tile(cls, op) and returns: new_op