import tensorflow as tf

tf.app.flags.DEFINE_string('postfix', '', 'Postfix for the training folder')

tf.app.flags.DEFINE_float('alpha', 10, 'Predictive reconstruction loss weight')
tf.app.flags.DEFINE_float('beta', 0.0005, 'Reconstruction from noisy data loss weight')
tf.app.flags.DEFINE_float('epsilon', 0.000001,
                          'Diameter of epsilon sphere comparing to distance to a neighbour. <= 0.5')
