Hi Folks,
I’m a newbie when it comes to TensorFlow Probability and could use some expert advice / guidance.  I’d like to understand the math behind log_prob for a normal distribution with batch_shape=[3] and event_shape = [2].  When 3x2 matrix input is passed to log_prob, how is log_prob calculating final output as shape (3,). I understand the batch result but what is log_prob doing with 2 elements per each batch item?  I was interested in learning the math behind this function.
-Dipesh