commit | ff38a688914f2fdde7c271227a6361bd2bb643d0 | [log] [tgz] |
---|---|---|
author | Lei Zhang <antiagainst@google.com> | Tue Jun 08 21:12:24 2021 -0400 |
committer | GitHub <noreply@github.com> | Tue Jun 08 21:12:24 2021 -0400 |
tree | a57738c089b35305f6fbdaf4bff16f996065df14 | |
parent | 041712602374650121ed4f1c22e40eaa5ad5cbe3 [diff] |
Adjust module specification in `iree_mlir_benchmark_suite` (#6128) Previously we list all fields separately, which means we need to match the order in several different variables. It also causes each call to iree_mlir_benchmark_suite somewhere lengthy. This commit aggregates all bits for a module into one CMake variable and deduplicates fields in iree_mlir_benchmark_suite calls. Also moved the benchmark directory out of `iree/test/` and into a more proper `iree/benchmark` place.
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.