commit | 60cf4ab0c3c6af622673aa9d3a365f5db1a5dd21 | [log] [tgz] |
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author | Benoit Jacob <jacob.benoit.1@gmail.com> | Fri Nov 15 14:04:58 2024 -0500 |
committer | GitHub <noreply@github.com> | Fri Nov 15 19:04:58 2024 +0000 |
tree | 95edd605684b34aadd9e2b5e93956af6dd757d3e | |
parent | e3826d5eb05e19f5d44ba50de73fd8352cfcb838 [diff] |
More cleanup in `IREEGPUAttrs`. (#19161) * Remove nearly 1,000 lines of code from `IREEGPUAttrs.cpp`, plus some methods out of `IREEGPUAttrs.td`. The bulk of that is code that was only used in a single place and didn't need to be in this central location, gets moved to its single user. A few helper functions were completely dead code, and a few additional simplifications. * Write up-to-date comments for core data structures, particularly the all-important `SingleSubgroupLayout`. * Within `IREEGPUAttrs.cpp`, group at the top of the file the code that encodes the raw information about MMA intrinsics, i.e. the code that needs to be updated when a new intrinsic is supported. --------- 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.
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.