Graph Compiler

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 Compilers for Deep Learning: Definition, Pros & Cons, and Popular Examples - Deci

Let’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/

Graph Compilers for Deep Learning: Definition, Pros & Cons, and Popular Examples - Deci

github.com

https://github.com/kimbochen/md-blogs/tree/main/graph-compilers

Graph Compiler

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