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NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching

Python 0.28% Jupyter Notebook 99.72%
bayesian-inference entropy generative-adversarial-network image-translation latent-variable-models

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alice's Issues

Wrong in tf.get_collection

ALICE/toy_data/ALICE_A_A.py

Line 255 in 2cb1b2b

dvars = tf.get_collection(tf.GraphKeys.TRAINABLE_VARIABLES, "discriminator")

In offical doc, tf.get_collection use re.match. So, the code dvars = tf.get_collection(tf.GraphKeys.TRAINABLE_VARIABLES, "discriminator")
will get dvars = "discriminator/", "discriminator_pair/", "discriminator_xx/", "discriminator_zz/"

No need to write train_disc_op = opt.minimize(disc_loss, var_list=dvars + dvars_xz + dvars_xx + dvars_zz) but train_disc_op = opt.minimize(disc_loss, var_list=dvars). Or you should change the name of "discriminator" to "discriminator_orig"

I know it will not cause any problems in the code, but it misleads others

Best, regard

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