commit | 62756c0d40fd980410d12fef39a3ba585597494e | [log] [tgz] |
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author | Stella Laurenzo <stellaraccident@gmail.com> | Mon Aug 09 09:17:36 2021 -0700 |
committer | GitHub <noreply@github.com> | Mon Aug 09 09:17:36 2021 -0700 |
tree | df1d4b26667ad27fef2a62e6fb125b806adedd0c | |
parent | 98e992ccd682bb56153abd7af577d9402ea6b344 [diff] |
Get the new iree-compiler-api package building under manylinux2014. (#6699) * Adds scripts to build locally in the correct docker setup for portable builds. * Rewires setup.py with all of the forbidden knowledge needed to make cmake play well with static linked python. * These things are usually done on a CI, but our project is complicated enough that it is just nice to be able to do it locally, esp for debugging weird cmake setup stuff.
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!
IREE is licensed under the terms of the Apache 2.0 License with LLVM Exceptions. See LICENSE for more information.