import tensorflow as tf

    def create_global_steps(self, n_points_train_set):
        self.n_batches_per_epoch = np.ceil(n_points_train_set/self.batch_size["train"])

        self.global_step = tf.train.get_or_create_global_step()
        self.global_epoch = tf.cast(tf.floor(tf.cast(self.global_step, tf.float32) /
                                            self.n_batches_per_epoch),
                                    tf.int64, "global_epoch")

