Demonstrate how to add JIT using MLIR to micrograd #62
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Hi @karpathy !
I'm not expecting you to merge this (although I'd very much welcome it!) -- but I wanted to contribute publicly work myself and @alexander-shaposhnikov have done to demonstrate adding a JIT Just In Time compiler for micrograd.
The main change here is the introduction of a new
jit.py
module which can take various micrograd computation graphs: Value, Neuron, Layer etc.. and produce MLIR using the arithmetic dialect. The IR is then lowered to LLVM IR which can then be executed directly via a provided CPU execution engine.test_jit.py has some great examples but the API is straightforward
Follow-ups:
Changes done to the repository:
pytest
by itselfjit.py
module