old_contents: # coding=utf-8
  # Copyright 2020 The Tensor2Robot Authors.
  #
  # 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.
  
  # Lint as python3
  """Binary for training TFModels with Estimator API."""
  
  from absl import app
  from absl import flags
  import gin
  from tensor2robot.utils import train_eval
  import tensorflow.compat.v1 as tf
  
  
  FLAGS = flags.FLAGS
  
  
  def main(unused_argv):
    gin.parse_config_files_and_bindings(FLAGS.gin_configs, FLAGS.gin_bindings)
    train_eval.train_eval_model()
  
  
  if __name__ == '__main__':
    tf.logging.set_verbosity(tf.logging.INFO)
    app.run(main)
  
new_contents: # coding=utf-8
  # Copyright 2020 The Tensor2Robot Authors.
  #
  # 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.
  
  # Lint as python3
  """Binary for training TFModels with Estimator API."""
  
  from absl import app
  from absl import flags
  import gin
  from tensor2robot.utils import train_eval
  import tensorflow.compat.v1 as tf
  
  
  FLAGS = flags.FLAGS
  
  
  def main(unused_argv):
    gin.parse_config_files_and_bindings(
        FLAGS.gin_configs, FLAGS.gin_bindings, print_includes_and_imports=True)
    train_eval.train_eval_model()
  
  
  if __name__ == '__main__':
    tf.logging.set_verbosity(tf.logging.INFO)
    app.run(main)
  
subject: Print gin config includes and imports when starting training.