commit | 895fbf5a578c5145f128c9777da76c8b67252747 | [log] [tgz] |
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author | Ben Vanik <ben.vanik@gmail.com> | Thu Jun 30 18:02:04 2022 -0700 |
committer | Ben Vanik <ben.vanik@gmail.com> | Wed Jul 06 08:28:56 2022 -0700 |
tree | 433258da43b9c98f5b866fcf74dc192c4adaf815 | |
parent | c6f04178b64aa087a1220de210a19c774c671780 [diff] |
Adding iree_hal_fence_t. This is a heap-allocated set of semaphores and payload values that performs timeline joining by default. It will allow us to expose a safe immutable semaphore list to the user-facing API and VM while still being a struct-of-arrays that we can directly pass to lower-level driver APIs. In the future we can extend this struct to hold additional internal tracking like semaphore timepoints for resource management. Progress on #9572.
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.