commit | 59f03d057ba83a5cc687e898b8a5885d1c16ff87 | [log] [tgz] |
---|---|---|
author | Ben Vanik <benvanik@google.com> | Wed Dec 15 17:49:26 2021 -0800 |
committer | Ben Vanik <benvanik@google.com> | Tue Jan 04 10:19:07 2022 -0800 |
tree | ced8180162226536eb254fbf881a369a076286e5 | |
parent | d699dd49a6ac8f3593da86541c9fcd9eeb0ba511 [diff] |
Adding iree_hal_device_transfer_to_* helpers. These shouldn't be used in real applications with lots of I/O as it performs a full command buffer submit-and-wait on each call. The transfer command buffer utilities should be used instead (or just real command buffers).
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.