Retire Mako benchmarking infra. (#6834) We have benchmarking pipeline v2, which uses Dana to replace Mako. https://github.com/google/dana - There are no patches to Mako repo for several months. - We have more control on Dana since we have access to Dana. - The new pipeline includes building models with cmake targets. - It's easier to add new targets in https://github.com/google/iree/blob/main/benchmarks/TensorFlow/CMakeLists.txt - etc The new pipeline is more flexible than Mako, so we're going to retire Mako benchmarking infra. The dashboard is moved to https://perf.iree.dev/IREE/statusOverall
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.