IREE (Intermediate Representation Execution Environment) is an MLIR-based end-to-end compiler and runtime that lowers Machine Learning (ML) models to a unified IR that scales up to meet the needs of the datacenter and down to satisfy the constraints and special considerations of mobile and edge deployments.
This organization consists of the IREE core plus other connectivity components to ML frameworks, benchmarking scripts, plugins and other community components.
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Repositories
- llvm-project Public Forked from llvm/llvm-project
Fork of the llvm-project for carrying patches to IREE and related projects.
- torch-mlir Public Forked from llvm/torch-mlir
Fork of the torch-mlir project for carrying pre-integrate patches and branches.
- hsa-runtime-headers Public
Headers for dynamically loading HSA extracted from the ROCR-Runtime repository.
- hip-cts Public
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