run abl_all
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@@ -179,10 +179,10 @@ class CVAENew(tf.keras.Model):
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if config['use_curvature']:
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self.curv_enc.trainable = False
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self.encoder = VariationalEncoderNew(config['cvae']['encoder_depths'], config['cvae']['encoder_dims'], kernel_size=config['cvae']['kernel_size'])
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self.encoder = VariationalEncoderNew(config['cvae']['encoder_depths'], config['cvae']['encoder_dims'], kernel_size=config['cvae']['kernel_size'], latent_dim=config['cvae']['latent_dim'])
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self.decoder = DecoderNew(config['cvae']['decoder_depths'], config['cvae']['decoder_dims'], config['cvae']['kernel_size'])
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self.reshape = tf.keras.layers.Reshape((8, 4, 64))
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self.reshape = tf.keras.layers.Reshape((8, 4, config['cvae']['latent_dim']))
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if config['avg_garment_path'] != '':
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self.avg_garment = np.load(config['avg_garment_path'])
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