commit | 82a89e389ddf7a13c613f5b26df9051ded43a764 | [log] [tgz] |
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author | Ben Vanik <ben.vanik@gmail.com> | Tue Nov 19 13:09:38 2024 -0800 |
committer | GitHub <noreply@github.com> | Tue Nov 19 13:09:38 2024 -0800 |
tree | 7066a839fa0f53ed48609e39375f5467bf99d230 | |
parent | 4396bf1aa0d53d703d0204d9e361630257b7d792 [diff] | |
parent | f5106640f4bf75eb15a5673de5fafd3aa0a96fd4 [diff] |
Improving linking support for ROCM and ukernels. (#19211) To support externally-defined ukernels on ROCM the ROCMTarget has been brought in-line with LLVMCPU/CUDA by calling `linkBitcodeObjects`. To make authoring passes that include object references `#hal.executable.object` now allows any data type to be associated so long as it is serializable allowing for external resource attrs and other custom attributes that may serialize based on other information. To allow patterns to attach object references all ops within an executable variant can now declare a `hal.executable.objects` array that will be hoisted and merged into the top-level variant objects after our executable linking pass (before serialization where they are used).
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 |
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GitHub release (stable) | |
GitHub release (nightly) | |
Python iree-base-compiler | |
Python iree-base-runtime |
Host platform | Build status |
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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.