import tensorflow as tf

                                    device='/device:CPU:0'):
                                with slim.arg_scope([slim.conv2d, slim.conv2d_in_plane,
                                                     slim.conv2d_transpose, slim.separable_conv2d,
                                                     slim.fully_connected],
                                                    weights_regularizer=weights_regularizer,
                                                    biases_regularizer=biases_regularizer,
                                                    biases_initializer=tf.constant_initializer(0.0)):

                                    gtboxes_and_label_h, gtboxes_and_label_r = tf.py_func(self.get_gtboxes_and_label,
                                                                                          inp=[inputs_list[i][1],
                                                                                               inputs_list[i][2],
                                                                                               inputs_list[i][3]],
