| # Experimental MetaProgramming + MLIR JIT |
| |
| The purpose of this directory is to demonstrate C++ metaprogramming features |
| that are available in MLIR core. At a high-level, metaprogramming can be |
| interpreted as "programming with a level of indirection". |
| |
| This experimental `mlir::ModelBuilder` is used to generate operations using the |
| [Linalg Dialect](https://mlir.llvm.org/docs/Dialects/Linalg/). |
| |
| This exposes the `mlir::edsc::ValueHandle` and `mlir::edsc::StructuredIndexed` |
| classes and other functionality into an `mlir::ModelBuilder`. to build an MLIR |
| function for a whole model (in the case of the [TestMNISTJit](TestMNISTJit.cpp) |
| example, a `3-MLP`). |
| |
| The MLIR function can be compiled using MLIR passes and progressively lowered to |
| LLVMIR. The `mlir::ModelRunner` then kicks in and produces an executable version |
| in memory that can be called directly, by name, from the main function. |
| |
| This allows writing a `3-MLP` test in C++, allocate some buffers, JIT-compile |
| and run it end-to-end, as the test demonstrates. |
| |
| Note that for the moment `mlir::ModelBuilder` does not perform any type of |
| advanced transformations and basically only lowers LLVM, where LLVM tools (`opt` |
| and `llc`) pick it up and apply their optimizations. |
| |
| At this time this is only intended for prototyping and experimenting on vanilla |
| Linux CPU targets. |
