commit | 4804bd33746ee1c5528f49d61b5f65b5bd34337f | [log] [tgz] |
---|---|---|
author | Nicolas Vasilache <nicolasvasilache@users.noreply.github.com> | Thu Jul 07 18:32:59 2022 +0200 |
committer | GitHub <noreply@github.com> | Thu Jul 07 09:32:59 2022 -0700 |
tree | 1ed77a99e50fc417a9c847a6e8a010121174aa05 | |
parent | 562608470245bb4a0c7c775c24b96de685a44d17 [diff] |
LLVM integrate to ebb78a95cede526ece9b904e9ba623d4b963df60 + cherry-pick (#9729) * LLVM integrate MLIR-MHLO: 7365a774d0c772e5a032ac0d36a1d532f17860f3 LLVM: ebb78a95cede526ece9b904e9ba623d4b963df60 Additionally cherry-picks the following IREE-local revert by dcaballe@: * This reverts commit 1178992c72b002c3b2c87203252c566eeb273cc1 * Update scf::ParallelInsertSliceOp -> tensor::ParallelInsertSliceOp * Update isLegalNumpyRankedBroadcast -> IsLegalNumpyRankedBroadcast * Update dynamic-update-slice -> dynamic_update_slice * Patch tests related to #hal.descriptor_set.layout / #hal.descriptor_set.binding
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.