For some reason, when I open the web document, real_a and fake_b are matching, but the real_b is from another image; however in the images folder the images are correct. Does someone know why does this happen?

Not really an issue, I'm just puzzled where max_size is used for. It serves as the size of an ImagePool pool and is used to store 'fake outputs'. Used here:

` # Update G network and record fake outputs
fake_A, fake_B, _, summary_str = self.sess.run(
[self.fake_A, self.fake_B, self.g_optim, self.g_sum],
feed_dict={self.rea

I'm using TensorFlow of version 1.10.0. I need to do the following change in file main.py to run this code:

1. Change size() into size on line 99 & 104;
2. Add tf.local_variables_initializer() after line 247&330 and add sess.run() after line 251&334.

Add I created a pull request for this. I also made some changes on the code style.