import tensorflow as tf

    'model_scope', None,
    'Model scope name used to replace the name_scope in checkpoint.')
tf.app.flags.DEFINE_string(
    'checkpoint_exclude_scopes', None,
    'Comma-separated list of scopes of variables to exclude when restoring from a checkpoint.')
tf.app.flags.DEFINE_boolean(
    'ignore_missing_vars', True,
    'When restoring a checkpoint would ignore missing variables.')
tf.app.flags.DEFINE_boolean(
    'run_on_cloud', False,
    'Wether we will train on cloud.')
tf.app.flags.DEFINE_boolean(
    'seq_train', False,
    'Wether we will train a sequence model.')
tf.app.flags.DEFINE_string(#
    'model_to_train', 'blouse, dress, outwear, skirt, trousers', #'all, blouse, dress, outwear, skirt, trousers', 'skirt, dress, outwear, trousers',
