Deep learning models can be described as computational graphs. Graph compilers take computational graphs as inputs, optimize the graph, and generate executable for target hardware.Graph Compiler NotionML Graph RewritingOperation Fusion Graph Compilers for Deep Learning: Definition, Pros & Cons, and Popular Examples - DeciLet’s take deeper dive into how graph compilers work to better understand how, when used correctly, they can offer enormous amounts of acceleration.https://deci.ai/blog/graph-compilers/github.comhttps://github.com/kimbochen/md-blogs/tree/main/graph-compilers