import tensorflow as tf

tf.app.flags.DEFINE_integer(
    'save_summary_steps', 500,
    'The frequency with which summaries are saved, in seconds.')
tf.app.flags.DEFINE_integer(
    'save_checkpoints_secs', 7200,
    'The frequency with which the model is saved, in seconds.')
# model related configuration
tf.app.flags.DEFINE_integer(
    'train_image_size', 352,
    'The size of the input image for the model to use.')
tf.app.flags.DEFINE_integer(
    'resnet_size', 50,
    'The size of the ResNet model to use.')
tf.app.flags.DEFINE_integer(
