text: # Copyright 2016 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.
  # ==============================================================================
  """Provides utilities for preprocessing."""
  
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  import tensorflow as tf
  
  slim = tf.contrib.slim
  
  
  def preprocess_image(image, output_height, output_width, is_training):
    """Preprocesses the given image.
  
    Args:
      image: A `Tensor` representing an image of arbitrary size.
      output_height: The height of the image after preprocessing.
      output_width: The width of the image after preprocessing.
      is_training: `True` if we're preprocessing the image for training and
        `False` otherwise.
  
    Returns:
      A preprocessed image.
    """
    image = tf.to_float(image)
    image = tf.image.resize_images(image, (output_height, output_width))
    image = tf.div(image, 255.0)
    return image
  