commit | 4a1f619d1e712c2f20743a89ee1249730752e141 | [log] [tgz] |
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author | Quinn Dawkins <quinn.dawkins@gmail.com> | Mon Aug 05 18:06:24 2024 -0400 |
committer | GitHub <noreply@github.com> | Mon Aug 05 18:06:24 2024 -0400 |
tree | bf787aae17e6f99697950bb2e400ac9fa5baf064 | |
parent | 09dc003df2bb3418a71cc36268d2c93adaecebe0 [diff] |
[Codegen][GPU] Add pass to unroll to native mma widths (#18101) Left as TODO is to extend this pass to also unroll consumers/producers. To eventually connect everything we should add a pattern that unrolls iter args of `scf.for` loops. Note that the unrolling pattern is already tested in its own test, so simply updating the pipeline test is fine here. Once extending this pass to do more unrolling a test can be added.
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-compiler | |
Python iree-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.