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| author | nunzip <np.scarh@gmail.com> | 2019-03-05 01:01:58 +0000 |
|---|---|---|
| committer | nunzip <np.scarh@gmail.com> | 2019-03-05 01:01:58 +0000 |
| commit | 2a720c237259baa2d968286244f9e43794c7e4d9 (patch) | |
| tree | fa63f8e9c4b7e23c2ff70e099cddc237fe2978ef | |
| parent | 2bb025014db2c8d968298125d251cbc4ca5949d1 (diff) | |
| download | e4-gan-2a720c237259baa2d968286244f9e43794c7e4d9.tar.gz e4-gan-2a720c237259baa2d968286244f9e43794c7e4d9.tar.bz2 e4-gan-2a720c237259baa2d968286244f9e43794c7e4d9.zip | |
remove sigma in virtual batch norm
| -rw-r--r-- | dcgan.py | 3 |
1 files changed, 2 insertions, 1 deletions
@@ -142,7 +142,8 @@ class DCGAN(): idx = np.random.randint(0, X_train.shape[0], batch_size) ref_imgs = X_train[idx] mu = np.mean(ref_imgs, axis=0) - sigma = np.var(ref_imgs, axis=0) + sigma = 1#np.var(ref_imgs, axis=0) + #need to redefine sigma because of division by zero imgs = np.divide(np.subtract(imgs, mu), sigma) # Sample noise and generate a batch of new images |