commit | 8d1d86733d5878c6f252789de2340701d9889878 | [log] [tgz] |
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author | Quinn Dawkins <quinn.dawkins@gmail.com> | Mon Jan 13 21:16:46 2025 -0500 |
committer | GitHub <noreply@github.com> | Tue Jan 14 02:16:46 2025 +0000 |
tree | 292df1f6030bbdbfc5fa4da1a8038959436df4e5 | |
parent | 158c6369c7f7d47f7410c70e9093285da51cc48a [diff] |
[GPU] Add thread tile size inference for scatter (#19694) This adds basic logic for picking thread distribution tile sizes for scatter ops. This allows fallback distribution to kick in for scatter. Additionally splits derived_thread_config tests into their own file. The existing test for GPUApplyTilingLevel has grown rather large. The tests for derived_thread_config within that file aren't really testing the pass but the logic in how we pick tile sizes. As a result it makes more sense to split out those tests into a separate file. In the future the logic for derived_thread_configs will probably need to move elsewhere but this is good cleanup to start.
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.