commit | f55f292e2784562739689f83bc1479c7155238ca | [log] [tgz] |
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author | Okwan Kwon <okwan@google.com> | Thu Dec 15 11:50:21 2022 -0800 |
committer | GitHub <noreply@github.com> | Thu Dec 15 11:50:21 2022 -0800 |
tree | e9478dc58e36172b481df6cedf31ab5a7c102bc8 | |
parent | 2327aeb4531660e80371b6e81854b0bcd9d374a5 [diff] |
Integrate llvm-project and bump dependencies 20221213 (#11552) Integrate llvm-project and bump dependencies * llvm-project: fd21361a7942 * mlir-hlo: 8919c4f83416b2bab914cc8a800137b7615f1cbd * tensorflow: aaca45a9df96b1401ae49928c8bcc2578379f77d Fix several issues including: * using std::nullopt * fixes for FunctionOpInterface changes Cherry-pick LLVM commits (top to bottom): * 93bbcff * f275148 * 0e0f8ca * 0274ab4 * 8a051f6 * fdc8434 Fix mhlo to use std::nullopt * 252d314 Disable tests/e2e/tosa_ops/mul_shift.mlir. (Issue #11571) 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.