commit | 37a3db252b24f9812a8f5ab099a7de3c17d7ac09 | [log] [tgz] |
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author | Max191 <44243577+Max191@users.noreply.github.com> | Wed Jul 17 14:35:22 2024 -0400 |
committer | GitHub <noreply@github.com> | Wed Jul 17 11:35:22 2024 -0700 |
tree | 9ab67c689c81a031e276b38aeb94c77c2c45ebad | |
parent | 7ce8c8e9f8f8a0234f97bbd576072b1cdf756f92 [diff] |
Integrate llvm-project @9372a3b70cf3969dac2d1a14cf41358205944e60 (#17926) Bumps llvm-project to https://github.com/llvm/llvm-project/commits/266a5a9cb9daa96c1eeaebc18e10f5a37d638734 Still carrying revert: https://github.com/iree-org/llvm-project/commit/9372a3b70cf3969dac2d1a14cf41358205944e60 https://github.com/llvm/llvm-project/pull/97903 Updated type conversion argument materialization, so this PR includes minor bug fixes in Codegen and Stream conversions after the change. --------- Signed-off-by: Max Dawkins <max.dawkins@gmail.com> Co-authored-by: Matthias Springer <mspringer@nvidia.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.
Community meeting recordings: IREE YouTube channel
IREE is licensed under the terms of the Apache 2.0 License with LLVM Exceptions. See LICENSE for more information.