code: def testRunCommandLongInputExamples(self, use_tfrt):
      class DummyModel(autotrackable.AutoTrackable):
          """Model with callable polymorphic functions specified."""
  
          @def_function.function(
              input_signature=[
                  tensor_spec.TensorSpec(
                      shape=None, dtype=dtypes.string
                  ),
              ]
          )
          def func(self, inputs):
              ex = parsing_ops.parse_example(
                  serialized=inputs,
                  features={
                      "variable0": parsing_config.FixedLenFeature(
                          (), dtypes.float32
                      ),
                      "variable1": parsing_config.FixedLenFeature(
                          (), dtypes.float32
                      ),
                      "variable2": parsing_config.FixedLenFeature(
                          (), dtypes.float32
                      ),
                      "variable3": parsing_config.FixedLenFeature(
                          (), dtypes.float32
                      ),
                      "variable4": parsing_config.FixedLenFeature(
                          (), dtypes.float32
                      ),
                      "variable5": parsing_config.FixedLenFeature(
                          (), dtypes.float32
                      ),
                      "variable6": parsing_config.FixedLenFeature(
                          (), dtypes.float32
                      ),
                      "variable7": parsing_config.FixedLenFeature(
                          (), dtypes.float32
                      ),
                      "variable8": parsing_config.FixedLenFeature(
                          (), dtypes.float32
                      ),
                      "variable9": parsing_config.FixedLenFeature(
                          (), dtypes.float32
                      ),
                  },
              )
              return {"outputs": sum(ex.values())}
  
      saved_model_dir = os.path.join(test.get_temp_dir(), "dummy_model")
      dummy_model = DummyModel()
      func = getattr(dummy_model, "func")
  
      with self.cached_session():
          save.save(
              dummy_model, saved_model_dir, signatures={"func": func}
          )
  
      output_dir = os.path.join(
          test.get_temp_dir(),
          "long_input_examples" + ("tfrt" if use_tfrt else ""),
      )
  
      saved_model_cli.flags.FLAGS.unparse_flags()
      input_examples = (
          'inputs=[{"variable0":[0.0],"variable1":[1.0],"variable2":[2.0],'
          '"variable3":[3.0],"variable4":[4.0],"variable5":[5.0],'
          '"variable6":[6.0],"variable7":[7.0],"variable8":[8.0],'
          '"variable9":[9.0]}, {"variable0":[10.0],"variable1":[1.0],'
          '"variable2":[2.0],"variable3":[3.0],"variable4":[4.0],'
          '"variable5":[5.0],"variable6":[6.0],"variable7":[7.0],'
          '"variable8":[8.0],"variable9":[9.0]}]'
      )
      saved_model_cli.flags.FLAGS(
          [
              "saved_model_cli",
              "run",
              "--dir",
              saved_model_dir,
              "--tag_set",
              "serve",
              "--signature_def",
              "func",
              "--input_examples",
              input_examples,
              "--outdir",
              output_dir,
          ]
          + (["--use_tfrt"] if use_tfrt else [])
      )
      parser = saved_model_cli.create_parser()
      parser.parse_args()
      saved_model_cli.run()
      y_actual = np.load(os.path.join(output_dir, "outputs.npy"))
      y_expected = np.array([45.0, 55.0])
      self.assertAllEqual(y_expected, y_actual)
  
imports: import contextlib
  import io
  import os
  import pickle
  import platform
  import shutil
  import sys
  from absl.testing import parameterized
  import numpy
  from tensorflow.core.example import example_pb2
  from tensorflow.core.framework import types_pb2
  from tensorflow.core.protobuf import meta_graph_pb2
  from tensorflow.python.debug.wrappers import local_cli_wrapper
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import tensor_spec
  from tensorflow.python.lib.io import file_io
  from tensorflow.python.ops import parsing_config
  from tensorflow.python.ops import parsing_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
  from tensorflow.python.platform import tf_logging
  from tensorflow.python.saved_model import save
  from tensorflow.python.tools import saved_model_cli
  from tensorflow.python.trackable import autotrackable
label_desc: Use image node_id 23 for calling the SavedModelCLITestCase obj's underlying member method code with example usage: obj.testRunCommandLongInputExamples(use_tfrt) and returns: dict