I wrote 6 lines of Triton…
and it turned into thousands of GPU instructions.
Python → TTIR → TTGIR → LLVM → AMDGCN → HSACO
👉 a + b → buffer_load_b128
👉 mask → v_cmp + conditional execution
Here’s the truth:
Your code is NOT what runs on the GPU.
The compiler builds an entire execution pipeline in between.
I dumped every stage and traced one kernel end-to-end 👇
https://www.compilersutra.com/docs/ml-compilers/mlcompilerstack/
After this, ML compilers don’t feel like “magic” anymore.
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