def __create_bootstrap(self, main_root):
		bootstrap_dir = os.path.join(main_root, 'bootstrap')
		safe_mkdir(bootstrap_dir)

		bootstrap = self.__config_mgr.bootstrap()
		self.__bootstrap_mgr.create_bootstrap(bootstrap, bootstrap_dir)
def _compute_reg_grads(gen_grads, disc_vars):
  """Compute gradients norm (this is an upper-bpund of the full-batch norm)."""
  gen_norm = tf.accumulate_n([tf.reduce_sum(u * u) for u in gen_grads])
  disc_reg_grads = tf.gradients(gen_norm, disc_vars)
  return disc_reg_grads