Rewrite generate data

1 files changed, 8 insertions, 6 deletions

diff --git a/cgan.py b/cgan.py
index 0e3dacd..a34a0e3 100755
--- a/cgan.py
+++ b/cgan.py
@@ -194,21 +194,23 @@ class CGAN():
         fig.savefig("images/%d.png" % epoch)
         plt.close()
         
-    def generate_data(self, split):
-      train_size = int((55000*100/split)-55000)
-      val_size = int(train_size/11)
+    def generate_data(self, output_train = 55000):
+      # with this output_train you specify how much training data you want. the other two variables produce validation
+      # and testing data in proportions equal to the ones of MNIST dataset
+
+      val_size = int(output_train/11)
       test_size = 2*val_size
 
-      noise_train = np.random.normal(0, 1, (train_size, 100))
+      noise_train = np.random.normal(0, 1, (output_train, 100))
       noise_test = np.random.normal(0, 1, (test_size, 100))
       noise_val = np.random.normal(0, 1, (val_size, 100))
 
-      labels_train = np.zeros(train_size).reshape(-1, 1)
+      labels_train = np.zeros(output_train).reshape(-1, 1)
       labels_test = np.zeros(test_size).reshape(-1, 1)
       labels_val = np.zeros(val_size).reshape(-1, 1)
       
       for i in range(10):
-        labels_train[i*int(train_size/10):-1] = i
+        labels_train[i*int(output_train/10):-1] = i
         labels_test[i*int(test_size/10):-1] = i
         labels_val[i*int(val_size/10):-1] = i