How the Cinder JIT’s function inliner helps us optimize Instagram

What this post added

This post details the implementation and benefits of the function inliner pass within Cinder's Just-In-Time (JIT) compiler. It explains how the JIT transforms Python bytecode into native code through various intermediate representations (HIR, SSA HIR, LIR) and how function inlining allows for greater type specialization, removal of function call overhead, and potential constant folding. The post illustrates the process with code examples of Python functions being compiled and optimized, highlighting the reduction in overhead and the ability to specialize operations like addition.