The Torch-MLIR project is a community-driven project under the LLVM umbrella that provides a high-quality PyTorch frontend for the ML compiler community. The PyTorch ecosystem is normalized into a principled IR implemented using the MLIR framework. Torch-MLIR takes care of shape inference, removing mutation/aliasing, and decomposing operators into more primitive operators to simplify backend implementation. In under 2 months since being announced, multiple industry partners have already started collaborating, and we look forward to welcoming you into our community.
