3852c50f4e5553dd150f2f77efba6ec23920de3c,niftynet/application/gan_application.py,GANApplication,connect_data_and_network,#GANApplication#Any#Any#,198

Before Change

                training_grads_collector.add_to_collection(grads)
            return net_output
        else:
            raise NotImplementedError
            // data_dict = self.get_sampler()[0].pop_batch_op()
            // images = data_dict["images"]
            // net_output = self._net(images, False)

After Change

            //raise NotImplementedError
            data_dict = self.get_sampler()[0].pop_batch_op()
            image_size = self.data_param[self.gan_param.image[0]].spatial_window_size
            batch_image_size = (self.net_param.batch_size,)+image_size+(1,)
            dummy_image = tf.zeros(batch_image_size)
            net_output = self._net(data_dict["vector"],
                                   dummy_image,
                                   None,

Instances