The issus in Age Progression/Regression by Conditional Adversarial Autoencoder (CAAE) 

Today I tried a new project named: Face-Aging-CAAE

Paper Name: Age Progression/Regression by Conditional Adversarial Autoencoder (CAAE)

Github: https://github.com/ZZUTK/Face-Aging-CAAE

But count some issues before I run the code successfully. Maybe it caused by the version of tensorflow. 

1. TypeError: Expected int32, got list containing Tensors of type ‘_Message‘ instead. 

2. ValueError: Only call ‘sigmoid_cross_entropy_with_logits‘ with named arguments (labels=..., logits=..., ...) 

3. ValueError: Variable E_conv0/w/Adam/ does not exist, or was not created with tf.get_variable(). Did you mean to set reuse=None in VarScope ? 

The follow changes are needed for this code to solve above issues. 

　　Then, you will see the process of training:

The issus in Age Progression/Regression by Conditional Adversarial Autoencoder (CAAE)