class_docstr: Internal class to create the op to initialize the clusters.
  
  The op performs this algorithm (see constructor args):
  
  num_remaining = num_clusters - length(cluster_centers)
  if num_remaining == 0:
    assert that cluster_centers_initialized is true
  else:
    assert that num_remaining > 0
    new_centers = choose up to num_remaining initial centers
    l2-normalize new_centers if using cosine distance
    all_centers = concat(cluster_centers, new_centers)
    cluster_centers := all_centers
    if there is a cluster_centers_updated variable:
      cluster_centers_updated := cluster_centers
    num_now_remaining = num_clusters - length(cluster_centers)
    if num_now_remaining == 0:
      cluster_centers_initialized := true
code: def _random(self):
      indices = random_ops.random_uniform(
          array_ops.reshape(self._num_remaining, [-1]),
          minval=0,
          maxval=math_ops.cast(self._num_data, dtypes.int64),
          seed=self._seed,
          dtype=dtypes.int64,
      )
      return embedding_lookup(
          self._inputs, indices, partition_strategy="div"
      )
  
imports: from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import random_seed
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import check_ops
  from tensorflow.python.ops import cond
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import gen_clustering_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn_impl
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import state_ops
  from tensorflow.python.ops import variable_v1
  from tensorflow.python.ops import while_loop
  from tensorflow.python.ops.embedding_ops import embedding_lookup
  from tensorflow.python.ops.gen_clustering_ops import *
label_desc: Use image node_id 2 for calling the _InitializeClustersOpFactory obj's underlying member method code with example usage: obj._random() and returns: embedding_lookup