commit | 01c9f143f9515a40927c13965463d70a2e25c767 | [log] [tgz] |
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author | Manupa Karunaratne <manupa.karunaratne@amd.com> | Tue Jan 14 09:16:32 2025 +0000 |
committer | GitHub <noreply@github.com> | Tue Jan 14 09:16:32 2025 +0000 |
tree | f6f4b008b8e0d73d6cd2846439068339b696dab3 | |
parent | 21b010130bf1eff01466decf2bf096b367da4dfa [diff] |
[LLVMGPUVectorDistribute] Add support for inter-subgroup multi_reduction (#19596) This commit adds support for distribute multi_reductions where the reduction dimension(s) is/are distributed across subgroups. We perform the existing reduction distribution, however, we are left with partial reductions accross subgroups. Thereafter, we insert tranfer_write / transfer_read to shared memory to achieve a layout change where we re-distribute reduction subgroup tiles into element tile. Finally, we do another multi_reduction to complete the reduction. closes: https://github.com/iree-org/iree/issues/19578 --------- Signed-off-by: Manupa Karunaratne <manupa.karunaratne@amd.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 | |
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.