commit | 49ffdac66b5ac8014b29077350584675d467a6f9 | [log] [tgz] |
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author | Ben Vanik <ben.vanik@gmail.com> | Tue Oct 29 16:24:56 2024 -0700 |
committer | GitHub <noreply@github.com> | Tue Oct 29 23:24:56 2024 +0000 |
tree | 8a13d24e472f0533aeb7a3a9b71fa3bb0de67529 | |
parent | a321be20c6efa40e128bb277db629a40cdeefb5e [diff] |
Enabling linking in the ROCM/CUDA compiler targets. (#18936) This does exactly what the LLVMCPU side does - which is bad for compile time (serializes LLVM codegen) but much better for runtime. Future improvements should move LLVM codegen to the linking phase so it can happen in parallel and then perform the linking using LLVM's linker (each executable turned into a .o and then combined into a .so, or last-level bitcode if then we just want serialization to be bitcode to machine code). This is definitely a compile-time regression but we can't keep pessimizing runtime.
IREE (Intermediate Representation Execution Environment, pronounced as “eerie”) 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.
See our website for project details, user guides, and instructions on building from source.
IREE is still in its early phase. We have settled down on the overarching infrastructure and are actively improving various software components as well as project logistics. It is still quite far from ready for everyday use and is made available without any support at the moment. With that said, we welcome any kind of feedback on any communication channels
Package | Release status |
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GitHub release (stable) | |
GitHub release (nightly) | |
Python iree-compiler | |
Python iree-runtime |
Host platform | Build status |
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Linux | |
macOS | |
Windows |
For the full list of workflows see https://iree.dev/developers/general/github-actions/.
See our website for more information.
Community meeting recordings: IREE YouTube channel
IREE is licensed under the terms of the Apache 2.0 License with LLVM Exceptions. See LICENSE for more information.