commit | f07c96c0e244c9c05ae28268af9d1811ac7488d9 | [log] [tgz] |
---|---|---|
author | Scott Todd <scott.todd0@gmail.com> | Thu Jul 11 17:45:50 2024 -0700 |
committer | GitHub <noreply@github.com> | Thu Jul 11 17:45:50 2024 -0700 |
tree | dcff3df8f1137f07b2e4fc1cba56322c4c9e493a | |
parent | 65a7bd05e5201492daa496af88efb6eaa227cf25 [diff] |
Round up sdxl golden dispatch sizes and mi250 times by 10%. (#17879) See [this discussion on Discord](https://discord.com/channels/689900678990135345/689957613152239638/1261059802214305913). These are change detector tests with _some_ use, but exact checking is too noisy and is causing significant churn across PRs and postsubmit CI runs. We could change the test script to allow a certain error range, but for now just increase the thresholds used in `<=` checks by about 10% (then drop a few digits to 0 so we don't give the appearance of high precision). ci-exactly: build_packages,regression_test
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.