Can you explain the code in this project?

[zhangqianhui]

if np.mod(counter, 100) == 1: if config.dataset == 'mnist': samples, d_loss, g_loss = self.sess.run( [self.sampler, self.d_loss, self.g_loss], feed_dict={self.z: sample_z, self.images: sample_images, self.y:batch_labels} ) else:

when sampling , the feeding of y is batch_labels for mnist training?
I think should be sample_labels?

[carpedm20]

I recommend you to read the paper Section 8. They trained DCGAN conditioned on the label for MNIST dataset to see the result of conditional generative models.