code: def testEmptyInputTensor(self):
      class TestModel(tf.keras.models.Model):
          @tf.function(
              input_signature=[
                  tf.TensorSpec(shape=[None], dtype=tf.float32)
              ]
          )
          def TestSum(self, x):
              return tf.raw_ops.Sum(input=x, axis=[0])
  
      test_model = TestModel()
      converter = tf.lite.TFLiteConverter.from_concrete_functions(
          [
              test_model.TestSum.get_concrete_function(
                  tf.TensorSpec([None], tf.float32)
              )
          ],
          test_model,
      )
      model = converter.convert()
      interpreter = tf.lite.Interpreter(model_content=model)
      # Make sure that passing empty tensor doesn't cause any errors.
      interpreter.get_signature_runner()(x=tf.zeros([0], tf.float32))
  
imports: import ctypes
  import io
  import sys
  from unittest import mock
  import numpy
  import tensorflow
  from tensorflow.lite.python import interpreter
  from tensorflow.lite.python.metrics import metrics
  from tensorflow.lite.python.testdata import _pywrap_test_registerer
  from tensorflow.python.framework import test_util
  from tensorflow.python.platform import resource_loader
  from tensorflow.python.platform import test
label_desc: Use image node_id 7 for calling the InterpreterTestErrorPropagation obj's underlying member method code with example usage: obj.testEmptyInputTensor() and returns: tf