commit | a953763e6a128ab9413a8bc93df9aa2c8f99ec9e | [log] [tgz] |
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author | Akansha Bansal <akansha.bansal@amd.com> | Tue Jan 14 15:00:22 2025 -0800 |
committer | GitHub <noreply@github.com> | Tue Jan 14 15:00:22 2025 -0800 |
tree | c6092f55199dca3deeabfdd7cb76a498f24f73ce | |
parent | c3209357f059758f26686c67cfd180f800a71112 [diff] |
Temporarily Disable MI250 workflow due to machine outage (#19702) Temporarily disabling MI250 workflow runs as the machine is currently down. Changes: - Commented out MI250 workflow to prevent job failures - Added comments explaining the temporary nature of this change Note: This is a temporary change and should be reverted once the MI250 machine is back online. skip-ci: Disabling workflow due to known machine outage --------- Signed-off-by: Akansha Bansal <akansha.bansal@amd.com>
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 |
---|---|
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 |
---|---|---|---|
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.