class_docstr: Extended class for ParameterServerStrategyV2.
  
  Please see `tf.distribute.StrategyExtended` doc for more information.
class_docstr_tok: ["Extended","class","for","ParameterServerStrategyV2",".","Please","see","`","tf.distribute.StrategyExtended","`","doc","for","more","information","."]
code: def _create_variable_round_robin(self, next_creator, **kwargs):
      # Clear the colocation scope to avoid possible conflicts between device
      # scope and colocation scope.
      with ops.colocate_with(None, ignore_existing=True):
          # Explicitly set CPU:0 device for PS in case create variable is called
          # inside replica_fn and worker has with GPU:0 scope.
          with ops.device(
              "/job:ps/task:%d/device:CPU:0"
              % (self._variable_count % self._num_ps)
          ):
              var = next_creator(**kwargs)
              log_method = (
                  logging.info
                  if os.getenv("TF_PSS_VERBOSE_VARIABLE_PLACEMENT")
                  else logging.debug
              )
              log_method(
                  "Creating variable (name:%s, shape:%r) on "
                  "/job:ps/task:%d/device:CPU:0",
                  var.name,
                  var.shape,
                  (self._variable_count % self._num_ps),
              )
              self._variable_count += 1
              return var
  
imports: import functools
  import os
  import threading
  from tensorflow.python.distribute import cross_device_ops
  from tensorflow.python.distribute import device_util
  from tensorflow.python.distribute import distribute_lib
  from tensorflow.python.distribute import input_lib
  from tensorflow.python.distribute import input_util
  from tensorflow.python.distribute import load_context
  from tensorflow.python.distribute import mirrored_run
  from tensorflow.python.distribute import multi_worker_util
  from tensorflow.python.distribute import parameter_server_strategy
  from tensorflow.python.distribute import ps_values
  from tensorflow.python.distribute import sharded_variable
  from tensorflow.python.distribute import values
  from tensorflow.python.distribute.cluster_resolver import cluster_resolver
  from tensorflow.python.distribute.coordinator import cluster_coordinator
  from tensorflow.python.eager import context
  from tensorflow.python.eager import remote
  from tensorflow.python.framework import config
  from tensorflow.python.framework import device
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import resource_variable_ops
  from tensorflow.python.ops import variable_scope
  from tensorflow.python.platform import tf_logging
  from tensorflow.python.trackable import base
  from tensorflow.python.training import server_lib
  from tensorflow.python.util import nest
  from tensorflow.python.util import tf_inspect
  from tensorflow.python.util.tf_export import tf_export
  from tsl.protobuf import coordination_config_pb2
label_desc: Use image node_id 7 for calling the ParameterServerStrategyV2Extended obj's underlying member method code with example usage: obj._create_variable_round_robin(next_creator) and returns: var