commit | 114a1427810f3da0234f98c22f58390773b0489a | [log] [tgz] |
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author | Stanley Winata <68087699+raikonenfnu@users.noreply.github.com> | Sun Oct 20 18:16:23 2024 -0700 |
committer | GitHub <noreply@github.com> | Sun Oct 20 18:16:23 2024 -0700 |
tree | 9ab8a07c69118a904b97a0b588e620b83b7c53f6 | |
parent | 66342abbfaaee707e27ecc7d8151ad9e357ca0da [diff] |
[LLVMGPU] Embed mma_intrinsic in to_layout and infer contraction's intrinsic from it. (#18842) To enable faster flash attention, we'd like to be able to force different vector widths => we'd like different contraction to potentially have different intrinsics. This PR introduces a way to set intrinsic information for individual contraction, and have it preserved until vector distribution. --------- Signed-off-by: Stanley Winata <stanley.winata@amd.com> Co-authored-by: Kunwar Grover <groverkss@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.