[python][tuner] Add bindings for MMAIntrinsic (#19095) Expose MMA intrinsics to python. This includes both the `MMAIntrinsic` attribute and the enum values. In addition, expose element/vector types and shapes from the MMA interface (but not the interface itself). This is so that the tuner can use the compiler as the SoT for all the intrinsics and use them to parse target properties and generate constraints. The enum values are kept opaque so that we do not have to duplicate the definitions in TD and C API headers.
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
| Package | Release status |
|---|---|
| GitHub release (stable) |  |
| GitHub release (nightly) |  |
| Python iree-base-compiler |  |
| Python iree-base-runtime |  |
| Host platform | Build status |
|---|---|
| Linux |   |
| macOS |  |
| Windows |  |
For the full list of workflows see https://iree.dev/developers/general/github-actions/.
See our website for more information.
Community meeting recordings: IREE YouTube channel
IREE is licensed under the terms of the Apache 2.0 License with LLVM Exceptions. See LICENSE for more information.