commit | b3ff1ed59e359acef0cf6b9b7725eca7098435f1 | [log] [tgz] |
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author | Benoit Jacob <jacob.benoit.1@gmail.com> | Thu Jan 09 16:26:14 2025 -0500 |
committer | GitHub <noreply@github.com> | Thu Jan 09 21:26:14 2025 +0000 |
tree | 27a231bde7084d5aae65179daa7b3958e7dc324b | |
parent | 6d6bd6e86a751611b44ec8c5fab8987cfff97843 [diff] |
Rename `unroll_{m,n,k}` to `intrinsics_{m,n,k}` (#19652) In `DataTiledMMAAttr`, we had those `unroll_{m,n,k}` parameters which were questionably named as they control the tile size, counter in "number of intrinsics, stacked along each dimension". They were passed down, still under that same name, to the ukernel, where they sounded awkward too. They sounded like unrolling factors when in that context whey really were loop trip counts. --------- Signed-off-by: Benoit Jacob <jacob.benoit.1@gmail.com>
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 | |
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.