code: def __call__(self):
      params = {
          "shape": (),
          "dtype": np.dtype(float),
          "order": TensorOrder.C_ORDER,
      }
      return self.new_tileable(
          [self._x, self._sample_weight, self._centers, self._labels],
          kws=[params],
      )
  
imports: import numpy
  from ...None import opcodes
  from ...None import tensor
  from ...core import OutputType, recursive_tile
  from ...serialization.serializables import KeyField
  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_fast import _inertia_dense, _inertia_sparse, merge_update_chunks
label_desc: Use image node_id 7 for calling the KMeansInertia obj's underlying member method code with example usage: obj.__call__() and returns: self