diff --git a/.idea/Keras-GAN.iml b/.idea/Keras-GAN.iml
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diff --git a/.idea/dbnavigator.xml b/.idea/dbnavigator.xml
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diff --git a/.idea/misc.xml b/.idea/misc.xml
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diff --git a/.idea/modules.xml b/.idea/modules.xml
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diff --git a/.idea/vcs.xml b/.idea/vcs.xml
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diff --git a/.idea/workspace.xml b/.idea/workspace.xml
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diff --git a/cgan/cgan.py b/cgan/cgan.py
index e66acb6e4a..8774353c9b 100755
--- a/cgan/cgan.py
+++ b/cgan/cgan.py
@@ -131,7 +131,7 @@ def train(self, epochs, batch_size=128, sample_interval=50):
imgs, labels = X_train[idx], y_train[idx]
# Sample noise as generator input
- noise = np.random.normal(0, 1, (batch_size, 100))
+ noise = np.random.normal(0, 1, (batch_size, self.latent_dim))
# Generate a half batch of new images
gen_imgs = self.generator.predict([noise, labels])
@@ -160,7 +160,7 @@ def train(self, epochs, batch_size=128, sample_interval=50):
def sample_images(self, epoch):
r, c = 2, 5
- noise = np.random.normal(0, 1, (r * c, 100))
+ noise = np.random.normal(0, 1, (r * c, self.latent_dim))
sampled_labels = np.arange(0, 10).reshape(-1, 1)
gen_imgs = self.generator.predict([noise, sampled_labels])