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21 changes: 10 additions & 11 deletions ACGAN.py
Original file line number Diff line number Diff line change
Expand Up @@ -143,23 +143,22 @@ def build_model(self):

# get information loss
self.q_loss = q_fake_loss + q_real_loss

self.d_loss += q_fake_loss + q_real_loss
self.g_loss += q_fake_loss

""" Training """
# divide trainable variables into a group for D and a group for G
t_vars = tf.trainable_variables()
d_vars = [var for var in t_vars if 'd_' in var.name]
g_vars = [var for var in t_vars if 'g_' in var.name]
q_vars = [var for var in t_vars if ('d_' in var.name) or ('c_' in var.name) or ('g_' in var.name)]

d_vars = tf.get_collection(tf.GraphKeys.TRAINABLE_VARIABLES, scope='discriminator')
g_vars = tf.get_collection(tf.GraphKeys.TRAINABLE_VARIABLES, scope='generator')

# optimizers
with tf.control_dependencies(tf.get_collection(tf.GraphKeys.UPDATE_OPS)):
self.d_optim = tf.train.AdamOptimizer(self.learning_rate, beta1=self.beta1) \
.minimize(self.d_loss, var_list=d_vars)
self.g_optim = tf.train.AdamOptimizer(self.learning_rate * 5, beta1=self.beta1) \
.minimize(self.g_loss, var_list=g_vars)
self.q_optim = tf.train.AdamOptimizer(self.learning_rate * 5, beta1=self.beta1) \
.minimize(self.q_loss, var_list=q_vars)


"""" Testing """
# for test
self.fake_images = self.generator(self.z, self.y, is_training=False, reuse=True)
Expand Down Expand Up @@ -225,8 +224,8 @@ def train(self):
self.writer.add_summary(summary_str, counter)

# update G & Q network
_, summary_str_g, g_loss, _, summary_str_q, q_loss = self.sess.run(
[self.g_optim, self.g_sum, self.g_loss, self.q_optim, self.q_sum, self.q_loss],
_, summary_str_g, g_loss, summary_str_q, q_loss = self.sess.run(
[self.g_optim, self.g_sum, self.g_loss, self.q_sum, self.q_loss],
feed_dict={self.z: batch_z, self.y: batch_codes, self.inputs: batch_images})
self.writer.add_summary(summary_str_g, counter)
self.writer.add_summary(summary_str_q, counter)
Expand Down Expand Up @@ -334,4 +333,4 @@ def load(self, checkpoint_dir):
return True, counter
else:
print(" [*] Failed to find a checkpoint")
return False, 0
return False, 0