code: def initialized_value(var):
      return cond.cond(
          variable_v1.is_variable_initialized(var),
          var.read_value,
          lambda: var.initial_value,
      )
  
imports: import numpy
  from local_xla.xla import xla_data_pb2
  from tensorflow.python.compiler.xla.experimental import xla_sharding
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import cond
  from tensorflow.python.ops import partitioned_variables
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import variable_scope
  from tensorflow.python.ops import variable_v1
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
  from tensorflow.python.training import slot_creator
label_desc: Use image node_id 1 for calling a global function with example usage: initialized_value(var) and returns: cond