Tensorflow has pretty poor documentation. Looks like you've been reading the higher level stuff. It's pretty easy to make custom layers and such with tf if you

Tensorflow has pretty poor documentation. Looks like you've been reading the higher level stuff. It's pretty easy to make custom layers and such with tf if you read some of the source. Though, honestly, numpy might be the simplest method to create a custom layers inside an architecture. If you use TF 2.0 this is simple because it doesn't even have to be part of the graph, per se.