Update.

[pytorch.git] / tiny_vae.py

diff --git a/tiny_vae.py b/tiny_vae.py
index d33cc4b..0895830 100755 (executable)
--- a/tiny_vae.py
+++ b/tiny_vae.py
@@ -47,6 +47,7 @@ parser.add_argument("--no_dkl", action="store_true")
 # With that option, do not follow the setup of the original VAE paper
 # of forcing the variance of X|Z to 1 during training and to 0 for
 # sampling, but optimize and use the variance.
+
 parser.add_argument("--no_hacks", action="store_true")
 
 args = parser.parse_args()