commit | 44808e143533e694644da13b75a8f8358ee289cf | [log] [tgz] |
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author | saienduri <77521230+saienduri@users.noreply.github.com> | Fri Jul 12 15:51:47 2024 -0700 |
committer | GitHub <noreply@github.com> | Fri Jul 12 15:51:47 2024 -0700 |
tree | c4bb9988eebdcca244fb5c5412d1f71ab178d82c | |
parent | 40356038df5efd4e9a40d18f6e2b9219566e1a65 [diff] |
Add in-tree special_models test suite using reworked iree-tooling. (#17883) With this, we move away from using all the specialized json config files and complex workflows. Instead, we use python scripts which allow us to use custom flags, tolerances, and configurations based on the backend/model. Related PR in TestSuite: https://github.com/nod-ai/SHARK-TestSuite/pull/271 This PR also removes all dependencies on SHARK-TestSuite tooling. Reworked the tools here so that downloading, caching, testing, and benchmarking occurs as intended with tools solely from this repo for iree_special_models. Whenever we are adding test files here, the goal is for an IREE user to be able to clone the repo and run the run tests knowing nothing about the SHARK-TestSuite . Also didn't realize, but ireers here already has a process of stamping here to check if a file is already produced. I think we have to remove this because it will skip even if there is a newer version of the file available and there's really no point when downloading to a cache because once it's there, it is never removed so not a valuable signal. (Third times the charm. Had to close the last two versions of this PR because couldn't get passed a pre-commit check that led me to rebase and add a bunch of commits that weren't mine 🤦 ) ci-exactly: build_all, test_amd_mi300, build_packages, regression_test --------- Signed-off-by: saienduri <saimanas.enduri@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.
IREE is still in its early phase. We have settled down on the overarching infrastructure and are actively improving various software components as well as project logistics. It is still quite far from ready for everyday use and is made available without any support at the moment. With that said, we welcome any kind of feedback on any communication channels!
See our website for more information.
Community meeting recordings: IREE YouTube channel
IREE is licensed under the terms of the Apache 2.0 License with LLVM Exceptions. See LICENSE for more information.