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resnet 101 working

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luni
2023-02-21 22:30:32 +00:00
parent 8447b7c505
commit 9eb1183df4
4 changed files with 15 additions and 17 deletions
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models/base.py
+5 -5
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@@ -163,10 +163,10 @@ class VariationalEncoderNew(tf.keras.Model):
class AEEncoderNew(tf.keras.Model):
def __init__(self, features, activation='tanh'):
def __init__(self, layer_params, features, activation='tanh'):
super(AEEncoderNew, self).__init__()
self.encoder = resnet_101(features)
self.encoder = resnet_101(layer_params, features)
self.act = tf.keras.layers.Activation(activation)
@@ -187,15 +187,15 @@ class AEEncoderNew(tf.keras.Model):
class DecoderNew(tf.keras.Model):
def __init__(self, features, is_label=False, is_cvae=False, learn_weights=False):
def __init__(self, layer_params, features, is_label=False, is_cvae=False, learn_weights=False):
super(DecoderNew, self).__init__()
self.is_label = is_label
if not is_label:
self.decoder = resnet_101(features, reversed=True, is_cvae=is_cvae)
self.decoder = resnet_101(layer_params, features, reversed=True, is_cvae=is_cvae)
else:
self.decoder = resnet_101(features, reversed=True, labels=6, is_cvae=is_cvae)
self.decoder = resnet_101(layer_params, features, reversed=True, labels=6, is_cvae=is_cvae)
def call(self, inputs, training):