commit | 9a39ba43e75e297ba86a451e572c044a2c4da253 | [log] [tgz] |
---|---|---|
author | Lei Zhang <antiagainst@google.com> | Tue Aug 31 13:48:32 2021 -0400 |
committer | GitHub <noreply@github.com> | Tue Aug 31 10:48:32 2021 -0700 |
tree | 6c68801c8396283803acec2f9d226c69eafc0d9b | |
parent | a81012011c9ccd3b7f0aa929af85879774b79396 [diff] |
Increase benchmarking timeout to 40mins as we have more benchmarks (#6925) It's approaching the 30min limit. This is to get us more grace time. Need to look at the benchmarks and perform configuration tweaking/pruning/cleanup.
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!
IREE is licensed under the terms of the Apache 2.0 License with LLVM Exceptions. See LICENSE for more information.