commit | e1469b220731425226c30c9edf38957a9d3cffd2 | [log] [tgz] |
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author | Max191 <44243577+Max191@users.noreply.github.com> | Thu Oct 24 07:01:00 2024 -0700 |
committer | GitHub <noreply@github.com> | Thu Oct 24 10:01:00 2024 -0400 |
tree | 88e3f8a8709cb5b4e535d7d8494511c149cea83c | |
parent | 9c5b57a8b9e6981e300df02c41a296bd49e07c99 [diff] |
[Codegen] Add pass to decompose pack unpack ops at dispatch boundaries (#18852) This PR adds a wrapper pass around DecomposePackUnPackOps, which adds a control function for decomposing only packs and unpacks whose reshapes can be folded with dispatch tensor loads/stores. This PR also removes the public pass constructor with a control function, opting to use wrapper passes in place of constructing passes with arbitrary control functions. This is better for creating simple bug repros, since the control function is part of the pass. --------- Signed-off-by: Max Dawkins <max.dawkins@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.
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.