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fix cvae

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luni
2023-01-26 14:45:35 +00:00
parent ea683ac030
commit 5d91b56a63
5 changed files with 34 additions and 15 deletions
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models/base.py
+22 -6
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@@ -118,13 +118,29 @@ class VariationalEncoderNew(tf.keras.Model):
self.encoder = resnet_18(features)
self.mean_branch = make_basic_block_layer(filter_num=features,
blocks=2,
stride=1)
self.mean_branch = tf.keras.Sequential([
tf.keras.layers.Conv2D(filters=features,
kernel_size=(3, 3),
strides=1,
padding="same"),
tf.keras.layers.BatchNormalization(),
tf.keras.layers.Conv2D(filters=features,
kernel_size=(3, 3),
strides=1,
padding="same")
])
self.var_branch = make_basic_block_layer(filter_num=features,
blocks=2,
stride=1)
self.var_branch = tf.keras.Sequential([
tf.keras.layers.Conv2D(filters=features,
kernel_size=(3, 3),
strides=1,
padding="same"),
tf.keras.layers.BatchNormalization(),
tf.keras.layers.Conv2D(filters=features,
kernel_size=(3, 3),
strides=1,
padding="same")
])
self.flatten_mean = tf.keras.layers.Flatten()
self.flatten_var = tf.keras.layers.Flatten()