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Make it work with keras 2 #108

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Make it work with keras 2 #108

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9 changes: 5 additions & 4 deletions aae/aae.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,7 @@
from keras.datasets import mnist
from keras.layers import Input, Dense, Reshape, Flatten, Dropout, multiply, GaussianNoise
from keras.layers import BatchNormalization, Activation, Embedding, ZeroPadding2D
from keras.layers import MaxPooling2D, merge
from keras.layers import MaxPooling2D, Lambda
from keras.layers.advanced_activations import LeakyReLU
from keras.layers.convolutional import UpSampling2D, Conv2D
from keras.models import Sequential, Model
Expand Down Expand Up @@ -67,9 +67,10 @@ def build_encoder(self):
h = LeakyReLU(alpha=0.2)(h)
mu = Dense(self.latent_dim)(h)
log_var = Dense(self.latent_dim)(h)
latent_repr = merge([mu, log_var],
mode=lambda p: p[0] + K.random_normal(K.shape(p[0])) * K.exp(p[1] / 2),
output_shape=lambda p: p[0])
latent_repr = Lambda(
lambda p: p[0] + K.random_normal(K.shape(p[0])) * K.exp(p[1] / 2),
output_shape=lambda p: p[0]
)([mu, log_var])

return Model(img, latent_repr)

Expand Down