commit | 33a770e9e7749ade3d35cb442c7a01509d0d19e1 | [log] [tgz] |
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author | Rob Suderman <rob.suderman@gmail.com> | Mon Feb 17 16:01:15 2025 -0800 |
committer | GitHub <noreply@github.com> | Mon Feb 17 16:01:15 2025 -0800 |
tree | 6abbb6dd1cf8e08621f6bb3f138e0c5073e11047 | |
parent | 4e10bb524b638b12f9c7b4043f97547452d96952 [diff] |
Change transfers to do pulls on multi transfer (#19931) Scatter-gather reduction operations are preferable due to non-parallel data transfers. To adjust for this we should only push tensors when they are mono-transfers. When distributing to multiple devices it is preferable to have the device fetch as the case of 1...8 -> 1 -> 1...8 we would prefer each device to handle its own data transfers.
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) | |
iree-base-compiler | |
iree-base-runtime |
For more details on the release process, see https://iree.dev/developers/general/release-management/.
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.