commit | 3ef4a6aa41d3aee151af682cc929841d85f0b6fc | [log] [tgz] |
---|---|---|
author | Rob Suderman <suderman@google.com> | Tue Jul 27 16:53:11 2021 +0000 |
committer | Copybara Fixup Action <iree-github-actions-bot@google.com> | Tue Jul 27 16:53:11 2021 +0000 |
tree | 61e6b2b18b7e71f5ddd008071b518c5a927214a9 | |
parent | 30161b0782b43fe01596c53fadc369388f76be8b [diff] | |
parent | 2c45af1db75d1648f219c68510b36ee04ceb8a69 [diff] |
Synchronize submodules with LLVM at llvm/llvm-project@de7a4e53a22b Updates LLVM dependencies to match [de7a4e53a22b](https://github.com/llvm/llvm-project/commit/de7a4e53a22b). - TensorFlow to [bf3a7db752fe](https://github.com/tensorflow/tensorflow/commit/bf3a7db752fe) - MLIR-HLO to [50d567c40329](https://github.com/tensorflow/mlir-hlo/commit/50d567c40329) `./scripts/git/update_to_llvm_syncpoint.py ` PiperOrigin-RevId: 387132304
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.