53633acd7c861fd73e3954088a48d0ac8dc42895,niftynet/application/regression_application.py,RegressionApplication,connect_data_and_network,#RegressionApplication#Any#Any#,180

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, self.is_training)

        if self.is_training:
            crop_layer = CropLayer(border=self.regression_param.loss_border,
                                   name="crop-88")

After Change

        if self.is_training:
            data_dict, net_out = tf.cond(self.is_validation,
                                         lambda: data_net(False),
                                         lambda: data_net(True))
            crop_layer = CropLayer(border=self.regression_param.loss_border,

Instances