commit | 4c0ba9c542cdbee479d17b026dff1b6afca2d07d | [log] [tgz] |
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author | Quinn Dawkins <quinn.dawkins@gmail.com> | Tue Jan 21 12:25:28 2025 -0500 |
committer | GitHub <noreply@github.com> | Tue Jan 21 12:25:28 2025 -0500 |
tree | a2aa1046d0e230293db3b9f9e9635e887316eb02 | |
parent | 21d5db3a815bfcf1628cfdf9d9480b012fee2c3c [diff] |
[DispatchCreation] Add constant expression hoisting (#19750) This adds constexpr hoisting to dispatch creation preprocessing to catch any potential new hoisting opportunities introduced by earlier passes. In the future we will likely want to run this pass in more places (e.g. near the end of DispatchCreation and Flow when we've set encodings).
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 |
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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.