commit | 11fb8d0c1c36dd4163a4271c066068f7a6fe603b | [log] [tgz] |
---|---|---|
author | Nicolas Vasilache <nicolasvasilache@users.noreply.github.com> | Mon Mar 21 20:33:30 2022 +0100 |
committer | GitHub <noreply@github.com> | Mon Mar 21 20:33:30 2022 +0100 |
tree | 278970af08d1667efb57597d19ed79c425c9064e | |
parent | 86612ccee7cd2839c962d860d4c5c6b50df63582 [diff] |
Sandbox integrate (#8581) * Bring LinalgTransform dialect from the sandbox to iree-dialects. Temporarily name the dialect "iree_linalg_transform" instead of "linalg_transform" to avoid name conflicts during transition and thus ease it. * LinalgTransform python bindings Temporarily name the dialect "iree_linalg_transform" instead of "linalg_transform" to avoid name conflicts during transition and thus ease it. * [NFC] Add the MLIR clang-format and format iree-dialects * Update to sandbox 77ca66e88d130b195b2eac169f17b95305a98577. * Move Dialect tests to a location consistent with core MLIR * Update sandbox to 3738d5792a3da6f03628c4375183cb39e3a82d51 * Format * Drop spurious dependency * clang-format * Build fixes * Move include/Transforms -> include/iree-dialects/Transforms * Disable pytype on _iree_linalg_transforms_ops_ext.py * clang-format * More BUILD fixes * Fix unit test
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.