How to get probability of data point?

[abbyvansoest]

Let's say I have a trained model for some dataset X of unknown distribution. How can I use the Glow library to compute the probability of a new data point from the distribution?

I am looking at theinfer()function in train.py and f_encode() in model.py

What I'm doing right now is using the calculated objective in f_encode to compute p = tf.exp(objective). Is this correct? Could someone point me in the right direction?

[yapdianang]

Any follow ups or insights or this? Any idea how to get probability from demo/model? Thanks!