docstr: Tests compiling different functions with the same signature.
code: def test_functions_compile_same_signature(self):
      """Tests compiling different functions with the same signature."""
      strategy = get_tpu_strategy()
  
      @def_function.function
      def return_one():
          def computation():
              return constant_op.constant(1)
  
          return strategy.run(computation)
  
      @def_function.function
      def return_two():
          def computation():
              return constant_op.constant(2)
  
          return strategy.run(computation)
  
      expected_result_ones = [
          1 for _ in range(0, strategy.num_replicas_in_sync)
      ]
      self.assertAllEqual(
          expected_result_ones,
          strategy.experimental_local_results(return_one()),
      )
  
      expected_result_twos = [
          2 for _ in range(0, strategy.num_replicas_in_sync)
      ]
      self.assertAllEqual(
          expected_result_twos,
          strategy.experimental_local_results(return_two()),
      )
  
file_path: tensorflow-upstream/tensorflow/python/distribute/tpu_strategy_compilation_test.py
imports: from tensorflow.python.distribute import tpu_strategy
  from tensorflow.python.distribute.cluster_resolver import tpu_cluster_resolver
  from tensorflow.python.eager import def_function
  from tensorflow.python.eager import remote
  from tensorflow.python.eager import test
  from tensorflow.python.framework import constant_op
  from tensorflow.python.platform import flags
label_desc: Use image node_id 1 for calling the TPUStrategyCompilationTest obj's underlying member method code with example usage: obj.test_functions_compile_same_signature() and returns: strategy, strategy, constant_op, constant_op