commit | 289b9a1ebf954be3995cc1895254d09f2623341f | [log] [tgz] |
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author | Stella Laurenzo <laurenzo@google.com> | Fri Feb 24 13:06:32 2023 -0800 |
committer | GitHub <noreply@github.com> | Fri Feb 24 13:06:32 2023 -0800 |
tree | 05f88b7180172655fac274250718d46878bb91e9 | |
parent | 7a6b21b3c872477ac2d12ad7b8055d1d4fc0a65c [diff] |
Add IREE_COMPILER_BUILD_SHARED_LIBS option. (#12310) * Balances all of the angels on the head of the pin such that when using it, trivial changes to the compiler that would usually require a lengthy re-link happen in <1s. * Fixes some indirect dependencies that were missing (and enforced with stricter linking). * This is the equivalent of how LLVM interprets -DBUILD_SHARED_LIBS=ON, scoped to just IREE's bundled LLVM, LLVM sub-projects and compiler sources. * As with all uses of BUILD_SHARED_LIBS, the support matrix for this feature is sparse: there are many ways it will not work outside of its strict case for supporting development. * iree-run-module is not happy (complaining of duplicate option registration). Will triage separately. * This probably only works on Linux right now. It likely can work on MacOS, but the libIREECompiler.dylib will need to be rigged with --reexport_library (which is effectively the default for dynamically loaded ELF). I don't think this will work on Windows without substantial work. * I am intending to use this mode to enable rapid reload of dynamically built plugins, etc.
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!
See our website for more information.
IREE is licensed under the terms of the Apache 2.0 License with LLVM Exceptions. See LICENSE for more information.