| commit | 70d8af630de04ac0ba26b06bec83b5718c6ed903 | [log] [tgz] |
|---|---|---|
| author | Scott Todd <scott.todd0@gmail.com> | Tue Jan 23 14:24:30 2024 -0800 |
| committer | GitHub <noreply@github.com> | Tue Jan 23 14:24:30 2024 -0800 |
| tree | 46469829e7f8d8e38ab627825ef6d80a8f2b767d | |
| parent | 3b3cef90c895dc728cb57876d22b0fe108b39d70 [diff] |
Delete unused Bazel deep_copy and template_rule files. (#16186) Searching history points to https://github.com/openxla/iree/commit/a6bf65ca220c448b2f73454a66da179ee6c2c414 and https://github.com/openxla/iree/commit/354b6919083e46f4886323d14721327ac83b5d6a (or https://github.com/openxla/iree/commit/10b3e1e8b1b11b9eb67f31f4a2fa469c09054ff8) for when these were last used. These files aren't particularly complex and could be added back later as needed.
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.