Textmate Grammar Based Mlir Syntax Tokenization

via “textmate grammar-based mlir syntax tokenization”

Syntax highlighting support for Machine Learning Intermediate Representation

Unique: Uses a curated TextMate grammar specifically tuned for MLIR's operation syntax and 8 supported dialects (Affine, LLVM IR, TensorFlow Lite, Tile, gpu, nvvm, loop, vector), rather than generic C-like or LLVM IR grammars, enabling dialect-aware token classification

vs others: Lighter-weight than language server-based highlighting (no background process or latency) and more accurate than generic regex highlighters because it understands MLIR's unique operation and attribute syntax