| commit | d78f716ef8c1ba64610128dfa2e2fd11795bac3e | [log] [tgz] |
|---|---|---|
| author | Han-Chung Wang <hanhan0912@gmail.com> | Mon Jan 22 02:27:31 2024 -0800 |
| committer | GitHub <noreply@github.com> | Mon Jan 22 02:27:31 2024 -0800 |
| tree | 973bed9e129b8fee7384ff0de130d6991aa55219 | |
| parent | 3998b2d3877774b03cffbed8543c05331b3ba8d4 [diff] |
Bump LLVM to llvm/llvm-project@0cb024b and deps (#16114) - Revert https://github.com/llvm/llvm-project/commit/af78e5daf0791135485dbd7972ffedb927727a6b locally. We need to bump tf-nightly to drop the revert. https://github.com/openxla/iree/issues/16173 - Disable tracy capture for CUDA benchmarking due to that it's not progressing. https://github.com/openxla/iree/issues/16157 - Apply a [fix](https://github.com/openxla/iree/pull/16114/commits/a863467d73bbd5c6356542c8b9dfaa0ed743ab62) for SME compilation failures. - Add fixes for https://github.com/llvm/llvm-project/commit/0a8e3dd432ff15ce871e4b9df0645e8a7e011fb3 Closes https://github.com/openxla/iree/issues/16063 because https://github.com/llvm/llvm-project/commit/974ded972564c87683fdfc057e07ba6d83710f51 fixes the issue; the commit is carried in the integrate. --------- Co-authored-by: Benjamin Maxwell <benjamin.maxwell@arm.com> Co-authored-by: Lei Zhang <antiagainst@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.