commit | a7bac5d9f5fab902d906f941a0f1002a809d3f35 | [log] [tgz] |
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author | Quinn Dawkins <quinn.dawkins@gmail.com> | Thu Jan 09 12:21:39 2025 -0500 |
committer | GitHub <noreply@github.com> | Thu Jan 09 09:21:39 2025 -0800 |
tree | dc206fbef96059c5a921573a5373d67d54dac5c2 | |
parent | 9055c9d1f6342a061a6747ef9b385816b96a0a8f [diff] |
[Flow] Fix dispatch naming for dynamic shaped fusions (#19439) Currently all ops with dynamic shapes are assigned the same estimated cost when naming dispatches. This means that in cases like fused elementwise ops with matmuls, the elementwise and matmuls are assigned the same priority and because of traversal order, the dispatch ends up following the name of the elementwise op. This patch hacks it by treating all dynamic shapes as moderately sized static shapes, but in the future if we have more issues we can look at adding some tensor size range analysis that can give us upper bounds for the dynamic shapes. --------- Signed-off-by: Ian Wood <ianwood2024@u.northwestern.edu> Co-authored-by: Ian Wood <ianwood2024@u.northwestern.edu>
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 | |
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.