commit | d6912e2bd8e85a7f8eab0a28ab6eeefcff177603 | [log] [tgz] |
---|---|---|
author | Lei Zhang <antiagainst@gmail.com> | Wed Jan 26 16:34:21 2022 -0500 |
committer | GitHub <noreply@github.com> | Wed Jan 26 16:34:21 2022 -0500 |
tree | b06bc7f95ba7c4cdb8c591941a9e0cb3c9c0e911 | |
parent | 83ae7b1de4a9307eaa516a3dd10cac5f3fc06872 [diff] |
Integrate llvm-project at 7cb4c2617391b80993e7c10f3a34c9e172f7ad41 (#8190) * Reset third_party/llvm-project: 7cb4c2617391b80993e7c10f3a34c9e172f7ad41 (2022-01-25 20:53:45 -0500): [OMPIRBuilder] Generate aggregate argument for parallel region outlined functions * Update mlir-hlo to match the LLVM commit * Remove mlir-hlo.branch-pin given we track an upstream commit now * Update TensorFlow integrations to match the LLVM commit, including local changes: * Disables inconsistent-missing-override, which TensorFlow sources do not comply with. * Upgrades Identifier -> StringAttr. * Fix header locations and build dependencies * Enable passed tests Co-authored-by: Stella Laurenzo <stellaraccident@gmail.com>
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.