commit | 96c9bfb66cf24883f359d051281cc99d10a7a69e | [log] [tgz] |
---|---|---|
author | Ben Vanik <ben.vanik@gmail.com> | Mon Jul 08 15:44:51 2024 -0700 |
committer | GitHub <noreply@github.com> | Mon Jul 08 22:44:51 2024 +0000 |
tree | 8e74da8617ec68a749d1796c50aef4872a3175e2 | |
parent | 129878fcf1c0356d736443d1196a1f11b783a12b [diff] |
Optimizing queries for optional VM functions. (#17823) Queries with IMPORT_OPTIONAL bypass reporting and full status creation as a way to avoid generating a bunch of stack traces for cases where the caller can gracefully handle the absence of an import. This change adds EXPORT_OPTIONAL to provide the same functionality to callers that know the export may not exist. This speeds up startup (when __init is omitted on a module), shutdown (when __deinit is omitted on a module), and event notification (__notify).
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.
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.