commit | e838b4aadaaed0d6f84203cfb7f20ce33e632fa3 | [log] [tgz] |
---|---|---|
author | Ben Vanik <benvanik@google.com> | Tue Feb 01 14:18:29 2022 -0800 |
committer | GitHub <noreply@github.com> | Tue Feb 01 14:18:29 2022 -0800 |
tree | b2e9d0ea50dc244d65ed660e9cf5a7b09a4f32c0 | |
parent | 9b7d74d243db2b2214b9586e2ab0952bab60ce5f [diff] | |
parent | 0adc497b35e6f0b40f6dee66a203aafe37d8e325 [diff] |
Merge pull request #8219 from google/benvanik-task-errors Propagating errors through the task system. This allows for errors to properly fail task scopes and ensure subsequent work is discarded correctly; errors now propagate up to their parent scope and can be retrieved by HAL semaphores or users for graceful handling. Misc cleanup and simplification was done as part of this and new tests were added to verify the behavior. Progress on #4026. Waits still need work but are being redesigned in future changes.
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.
IREE is licensed under the terms of the Apache 2.0 License with LLVM Exceptions. See LICENSE for more information.