commit | 9aae362ccebb927cf201dfbabf3222cfa20e15ac | [log] [tgz] |
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author | Krzysztof Drewniak <Krzysztof.Drewniak@amd.com> | Mon Jan 20 09:40:11 2025 -0800 |
committer | GitHub <noreply@github.com> | Mon Jan 20 17:40:11 2025 +0000 |
tree | 8f48f9742363d2a4a6b46efea788736ef292a705 | |
parent | a64d7130a331d4173a3e6f8f61a783c60c56ad50 [diff] |
[Codegen] Sprinkle in PropagateDispatchSizeBounds passes (#19677) Since the various tiling and distribution don't know how to set the upper bounds on workitem or workgroup IDs - even if that information is known from context, we use the PropagateDispatchSizeBounds pass to add that information before passes that use it. The mani passes that use this information are those that use the ValueBoundsOpInterface - that is, loop invariant code motion, some vectorization code, and, in an upcoming commit, RemoveSingleIterationLoop. These calls can be removed in the future, but they'll do for now.
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.
Releases notes are published on GitHub releases.
Package | Release status |
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GitHub release (stable) | |
GitHub release (nightly) | |
Python iree-base-compiler | |
Python iree-base-runtime |
Operating system | Build status |
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Linux | |
macOS | |
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
Date | Title | Recording | Slides |
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2021-06-09 | IREE Runtime Design Tech Talk | recording | slides |
2020-08-20 | IREE CodeGen (MLIR Open Design Meeting) | recording | slides |
2020-03-18 | Interactive HAL IR Walkthrough | recording | |
2020-01-31 | End-to-end MLIR Workflow in IREE (MLIR Open Design Meeting) | recording | slides |
IREE is licensed under the terms of the Apache 2.0 License with LLVM Exceptions. See LICENSE for more information.