Comment by 317070

> 1. we test many computation graphs (graph is changing constantly) 2. many-many scalar operations with roughly 10k—100k nodes in each graph 3. every graph should be compiled and ran around 10k times both forward and backward

Now I'm curious to know where that is useful. Some kind of meta-learning approach?