commit | 7e353e0794c1d3ad5b1146e8fc7843e5353cf4c7 | [log] [tgz] |
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author | Stella Laurenzo <stellaraccident@gmail.com> | Wed Jul 19 09:44:45 2023 -0700 |
committer | GitHub <noreply@github.com> | Wed Jul 19 09:44:45 2023 -0700 |
tree | eb2b55d61b7f3491ea53235bcff99e4957ded9a8 | |
parent | 713cd493ac3ee62e2dadb478e05bd3b925127b96 [diff] |
In ireeCompilerRegisterDialects, register all global plugin dialects. (#14432) This matches the behavior of iree-opt and makes API access to iree.compiler.ir match. Also: * Updates the Python initializer to bracket execution with `ireeCompilerGlobalInitialize` / `ireeCompilerGlobalShutdown` so that both pure MLIR and IREE compiler API usage can co-exist without stepping on each other. * Makes `ireeCompilerSessionBorrowContext` and `ireeCompilerSessionStealContext` fully initialize plugins/the context before returning. Previously this was being done lazily and may not have happened, resulting in a context that may not have had all initialization settings applied to it.
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.