code: def test_tpu_replicated_variable_simple(self):
      v0 = variables_lib.Variable([0], name="v0")
      v1 = variables_lib.Variable([0], name="v1")
      r = tpu_replicated_variable.TPUReplicatedVariable([v0, v1])
      self.evaluate(variables_lib.global_variables_initializer())
      self.assertEqual(r.variables[0], v0)
      self.assertEqual(r.variables[1], v1)
      self.assertEqual(r.shape.as_list(), [1])
      self.assertEqual(r.dtype, v0.dtype)
      self.check_replicated_variables_all_the_same(r)
  
file_path: tensorflow-upstream/tensorflow/python/distribute/tpu_replicated_variable_test.py
imports: from __future__ import division
  from __future__ import print_function
  import os
  from absl.testing import parameterized
  import numpy
  from tensorflow.python.checkpoint import checkpoint
  from tensorflow.python.checkpoint import checkpoint_options
  from tensorflow.python.distribute import tpu_replicated_variable
  from tensorflow.python.eager import test
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import dtypes
  from tensorflow.python.ops import variables
label_desc: Use image node_id 1 for calling the TPUReplicatedVariableTest obj's underlying member method code with example usage: obj.test_tpu_replicated_variable_simple() without return types