commit | 84eb433f9d9d043c99ed2c6b28181a888c2082d8 | [log] [tgz] |
---|---|---|
author | Stella Laurenzo <stellaraccident@gmail.com> | Tue Jan 11 20:53:50 2022 -0800 |
committer | GitHub <noreply@github.com> | Tue Jan 11 20:53:50 2022 -0800 |
tree | 5d4c32a17988fd3d7e687792ac0da7bd14d4a9da | |
parent | a6bf65ca220c448b2f73454a66da179ee6c2c414 [diff] |
Fixing releases for tensorflow packages (#8084) TensorFlow python packages are now "pure" in that they are built by invoking setup.py and not as part of some larger build. Reworks the release to build them all at once. Will adapt further depending on how the next candidate looks.
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.