Update acgan.py

acgan/acgan.py

@@ -75,7 +75,7 @@ def build_generator(self):
 
         noise = Input(shape=(self.latent_dim,))
         label = Input(shape=(1,), dtype='int32')
-        label_embedding = Flatten()(Embedding(self.num_classes, 100)(label))
+        label_embedding = Flatten()(Embedding(self.num_classes, self.latent_dim)(label))
 
         model_input = multiply([noise, label_embedding])
         img = model(model_input)
@@ -141,7 +141,7 @@ def train(self, epochs, batch_size=128, sample_interval=50):
             imgs = X_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))
 
             # The labels of the digits that the generator tries to create an
             # image representation of
@@ -175,7 +175,7 @@ def train(self, epochs, batch_size=128, sample_interval=50):
 
     def sample_images(self, epoch):
         r, c = 10, 10
-        noise = np.random.normal(0, 1, (r * c, 100))
+        noise = np.random.normal(0, 1, (r * c, self.latent_dim))
         sampled_labels = np.array([num for _ in range(r) for num in range(c)])
         gen_imgs = self.generator.predict([noise, sampled_labels])
         # Rescale images 0 - 1