Author: Ibrahim El Kaddouri
Repository:
The repository is private
Coming Soon
Graph Surgeon is a small compiler project built on Apache TVM where I take a model
exported to ONNX, import it into TVM and compile it to get a clean baseline with proper
benchmarks. From there, I implement my own graph-level optimization pass, the kind of
transformation a real compiler would do, then rebuild the model through the new
pipeline and measure the impact. The final result is a before/after comparison backed
by a benchmark that shows whether the pass actually makes the model faster
(or if it makes it worse, and why).