code: def _create_variable_in_replica_context(replicator):
      o = TrainableVariable()
  
      def create_var():
          replicator.run(o)
  
      # TpuReplicator doesn't support pure eager mode.
      if isinstance(replicator, snt_replicator.TpuReplicator):
          create_var = tf.function(create_var)
  
      create_var()
      return o.v
  
imports: import os
  from absl import logging
  from absl.testing import parameterized
  from sonnet.src import initializers
  from sonnet.src import test_utils
  from sonnet.src.distribute import replicator
  from sonnet.src.distribute import replicator_test_utils
  import tensorflow
label_desc: Use image node_id 2 for calling a global function with example usage: _create_variable_in_replica_context(replicator) and returns: o