| commit | 20d830887dd478dfb467d5f657afc9daea3d7baf | [log] [tgz] |
|---|---|---|
| author | Han-Chung Wang <hanhan0912@gmail.com> | Thu Jul 11 11:28:33 2024 -0700 |
| committer | GitHub <noreply@github.com> | Thu Jul 11 18:28:33 2024 +0000 |
| tree | b70cc4cabd74cc5f88a3e3af891c74c473bba201 | |
| parent | 429aafd877536c0efca7cd0865c98b3692ec9728 [diff] |
[GPU] Fix the propagation control function logic. (#17869) This is a follow-up from the integrate comment: https://github.com/iree-org/iree/pull/17827#discussion_r1671197583 The comment was not addressed in the integrate PR because the CI was not stable. Some runners were off, and we decided to land the PR and sent a follow-up later. See https://discord.com/channels/689900678990135345/1080178290188374049/1260330876651307090 for more details.
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.