Paarth Neekhara

@XuesongYang @redoctopus I think I fixed the issue. Adjusted the number of segments to get at the original sampling rate so that we get n_segments at our target sampling rate....

This is again a tensorflow version issue.. Please check the function definition in your tf version and modify the method call accordingly - tf.concat => tf.concat([t_z, reduced_text_embedding], axis=1) You may...

Can you try a simple caption like "A red flower" just to check if there is no blunder

Well, there seems something wrong for sure. The output should not look messy like above. Did you train the model or use the pretrained one?

Incase you are still facing troubles, try using a more recent implementation https://github.com/zsdonghao/text-to-image

This is a tensorflow version issue. IIRC the model is trained on tensorflow v 1.10

I just ran the code and it runs fine on version 0.11.0rc2.

What tensorflow version are you using? IIRC the code ran on version r0.10. I don't have access to a machine to debug the code right now.

@jiang2764 So did it work?

Hi, This is a compatibility issue with the tf update. Replace the batch_norm class code in ops.py by the one written here https://github.com/iamaaditya/DCGAN-tensorflow/blob/master/ops.py . This should fix the issue.