text: # Copyright 2020 The TensorFlow Authors. All Rights Reserved.
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  # ==============================================================================
  """Benchmarks for saved model on InceptionResNetV2."""
  
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  import tensorflow as tf
  from tensorflow.python.keras.benchmarks.saved_model_benchmarks import saved_model_benchmark_util
  
  
  class BenchmarkSaveApplications(tf.test.Benchmark):
  
    def benchmark_save_and_load_inception_resnet_v2(self):
      app = tf.keras.applications.InceptionResNetV2
      save_result, load_result = (
          saved_model_benchmark_util.save_and_load_benchmark(app))
  
      self.report_benchmark(
          iters=save_result['iters'],
          wall_time=save_result['wall_time'],
          name=save_result['name'])
  
      self.report_benchmark(
          iters=load_result['iters'],
          wall_time=load_result['wall_time'],
          name=load_result['name'])
  
  
  if __name__ == '__main__':
    tf.test.main()
  