commit | e64cb12ce4c18764f963fb40d892267fa14e5fca | [log] [tgz] |
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author | Tres <tpopp@users.noreply.github.com> | Fri Jan 10 15:48:53 2025 +0100 |
committer | GitHub <noreply@github.com> | Fri Jan 10 09:48:53 2025 -0500 |
tree | cef4ac7f0c2304a48bdcefb0b257cb1885ef3993 | |
parent | 2aca09163976c77a2c7fb37d2d893d0abf08ca59 [diff] |
Increase strictness of global isel use for ROCM (#19247) Increase strictness while this is primarily for development instead of robust production cases (though it is still quite robust). This will prevent fallback from global-isel with unsupported inputs to prevent a situation of attributing a witnessed change to improved global isel results that are actually caused by not using global isel or to prevent a lack of change caused by not actually utilizing global isel. In this form, unsupported inputs will fail to compile entirely. --------- Signed-off-by: Tres Popp <tpopp@brium.ai>
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 |
---|---|---|---|
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.