commit | 9778acb750765c1358165544f59c4489bb8a15a5 | [log] [tgz] |
---|---|---|
author | Okwan Kwon <okwan@google.com> | Tue Mar 28 19:57:36 2023 -0700 |
committer | GitHub <noreply@github.com> | Tue Mar 28 19:57:36 2023 -0700 |
tree | 26d7abc7d771ac89bd2d1bda10e4fa39b9ca3425 | |
parent | 417e7c19b44e59fc9a7571772cc7d045c6c602f4 [diff] |
Integrate llvm-project to https://github.com/llvm/llvm-project/commit/c5d22f4e1866 (#12753) Integrate llvm-project and bump dependencies * mlir-hlo: https://github.com/tensorflow/mlir-hlo/commit/ab587867e4aa4307c4b573d7926c3f869563eaa2 * tensorflow: https://github.com/tensorflow/tensorflow/commit/9615158d0edb847c5f56ed33c403a4737a36a110 Fixes: * add getCallableArgAttrs() and getCallableResAttrs() * register builtin dialect translation * cherry-pick 9104c104fe2422b1034be276f94f9b53b61751eb in iree-tf-fork to revert fix the tosa rescale issue * Mark tests XFAIL due to library calls to `roundeven` and `roundevenf` being generated. Co-authored-by: Hanhan Wang <hanchung@google.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.