From 836b0215275cfa52142a66de6978448515b17f4f Mon Sep 17 00:00:00 2001 From: Vasil Zlatanov Date: Fri, 8 Mar 2019 00:46:42 +0000 Subject: Remove variable initializer --- cdcgan.py | 1 - 1 file changed, 1 deletion(-) (limited to 'cdcgan.py') diff --git a/cdcgan.py b/cdcgan.py index 7b517ca..dba6737 100755 --- a/cdcgan.py +++ b/cdcgan.py @@ -162,7 +162,6 @@ class CDCGAN(): # Sample noise as generator input noise = np.random.normal(0, 1, (batch_size, 100)) - tf.keras.backend.get_session().run(tf.global_variables_initializer()) # Generate a half batch of new images gen_imgs = self.generator.predict([noise, labels]) -- cgit v1.2.3-54-g00ecf From 240be62b504dbdcb0cadcaf313d111eefe9ceea0 Mon Sep 17 00:00:00 2001 From: nunzip Date: Fri, 8 Mar 2019 12:17:11 +0000 Subject: Fix issue with produced labels --- cdcgan.py | 6 +++--- cgan.py | 6 +++--- 2 files changed, 6 insertions(+), 6 deletions(-) (limited to 'cdcgan.py') diff --git a/cdcgan.py b/cdcgan.py index dba6737..8d59a03 100755 --- a/cdcgan.py +++ b/cdcgan.py @@ -229,9 +229,9 @@ class CDCGAN(): labels_val = np.zeros(5000).reshape(-1, 1) for i in range(10): - labels_train[i*5500:] = i - labels_test[i*1000:] = i - labels_val[i*500:] = i + labels_train[i*5500:-1] = i + labels_test[i*1000:-1] = i + labels_val[i*500:-1] = i train_data = self.generator.predict([noise_train, labels_train]) test_data = self.generator.predict([noise_test, labels_test]) diff --git a/cgan.py b/cgan.py index 68bb2cc..d27b11b 100755 --- a/cgan.py +++ b/cgan.py @@ -204,9 +204,9 @@ class CGAN(): labels_val = np.zeros(5000).reshape(-1, 1) for i in range(10): - labels_train[i*5500:] = i - labels_test[i*1000:] = i - labels_val[i*500:] = i + labels_train[i*5500:-1] = i + labels_test[i*1000:-1] = i + labels_val[i*500:-1] = i train_data = self.generator.predict([noise_train, labels_train]) test_data = self.generator.predict([noise_test, labels_test]) -- cgit v1.2.3-54-g00ecf