commit | 7ca0f46fc38c7d5ccb7ee275db59ed7d992436ef | [log] [tgz] |
---|---|---|
author | Scott Todd <scotttodd@google.com> | Thu Jun 09 09:30:05 2022 -0700 |
committer | GitHub <noreply@github.com> | Thu Jun 09 09:30:05 2022 -0700 |
tree | 3ebc6b60d82a851d593efa67e73b29b647ffd666 | |
parent | f3362af2671acf0956a98f6b5a3a1f34b41c04b2 [diff] |
Replace samples/vision_inference with a Python script + README. (#9403) Also remove image_util and third_party/stblib, which were only used for the C code in that sample. Progress on https://github.com/google/iree/issues/9374
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.
IREE is licensed under the terms of the Apache 2.0 License with LLVM Exceptions. See LICENSE for more information.