Shypd.aiThe largest open index of AI toolsml-compiler-opt is an open-source infrastructure for Machine Learning Guided Optimization (MLGO) in LLVM. It replaces human-crafted optimization heuristics with machine-learned models, supporting inlining-for-size and register-allocation-for-performance.
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ml-compiler-opt provides an open-source infrastructure for Machine Learning Guided Optimization (MLGO) within LLVM. This framework systematically integrates machine learning techniques into LLVM, replacing traditional human-crafted optimization heuristics with machine-learned models. Currently, MLGO supports two key optimizations: inlining-for-size and register-allocation-for-performance. The repository contains the training infrastructure and related tools for MLGO, specifically supporting Policy Gradient training with Evolution Strategies planned for future release. It also offers pretrained models that can be directly used with LLVM, simplifying deployment for developers looking to leverage ML-guided compiler optimizations.
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