01f1bcb376dfd967603c785a255f927dea2712b6,demos/BRATS17/brats_segmentation.py,BRATSApp,connect_data_and_network,#BRATSApp#Any#Any#,133

Before Change

    def connect_data_and_network(self,
                                 outputs_collector=None,
                                 gradients_collector=None):
        data_dict = self.get_sampler()[0].pop_batch_op()
        image = tf.cast(data_dict["image"], tf.float32)
        net_out = self.net(image, is_training=True)

        if self.is_training:
            with tf.name_scope("Optimiser"):

After Change

                                             lambda: data_net(False),
                                             lambda: data_net(True))
            else:
                data_dict, net_out = data_net(True)

            with tf.name_scope("Optimiser"):
                optimiser_class = OptimiserFactory.create(

Instances