commit | 7b9aa284500d1cef0711965ca5b45efd43ce9742 | [log] [tgz] |
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author | Benoit Jacob <jacob.benoit.1@gmail.com> | Wed Jan 08 13:27:30 2025 -0500 |
committer | GitHub <noreply@github.com> | Wed Jan 08 18:27:30 2025 +0000 |
tree | 063ba0367a4932036b07d7596619bdd7c3397c20 | |
parent | be75a3001ce43f046b60f49f8d74650b93d239c4 [diff] |
When dumping intermediates, dump how to reproduce the `.optimized.ll` (#19633) This is similar to the upstream `--print-pipeline-passes`, which we don't implement but is still there as a command-line flag. In our case, I think it's more useful to integrate it into our existing dump-intermediates feature. This would need to be done for each target; this PR only does it for ROCMTarget for now. Sample output at the start of the dumped `.optimized.ll` file: ``` ; To reproduce the .optimized.ll from the .linked.ll, run: ; opt --passes=' [...] elided 4 kilobytes of text [...] ' ``` Signed-off-by: Benoit Jacob <jacob.benoit.1@gmail.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 |
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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 |
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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.