commit | 3592c594ae611115987b943019ebbbaf61efce9b | [log] [tgz] |
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author | Quinn Dawkins <quinn@nod-labs.com> | Fri Aug 04 12:40:51 2023 -0400 |
committer | GitHub <noreply@github.com> | Fri Aug 04 12:40:51 2023 -0400 |
tree | 0cba44f3d03f6f2cd161d506d33eb6f6c21917cf | |
parent | 179195868f3b3a197733a5014cc7e80b7bb88c7e [diff] |
[SPIRV] Add transform dialect JIT mode (#14485) Adds the ability to use the transform dialect strategy builders behind `iree-spirv-enable-transform-dialect-jit`, mirroring the existing flags for LLVMCPU/GPU. For now all strategies are disabled and treated as unsupported for now. The plan is to enable them one at a time as support is tested/verified and the need arises. This PR is primarily for exposing the option. Cleaning up the transform dialect flag names (i.e. away from LLVMGPU) is left as TODO.
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.