commit | 1e1a6e34df092aea86bfd2dc4585b9748dbd8b14 | [log] [tgz] |
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author | Ben Vanik <ben.vanik@gmail.com> | Sat Nov 02 12:49:14 2024 -0700 |
committer | Ben Vanik <ben.vanik@gmail.com> | Mon Nov 04 18:50:50 2024 -0800 |
tree | 661a63376e6401733e96b61e4532dd79263ba641 | |
parent | 632bc1171453c24c0bb8d20f3e133b0327e1c10a [diff] |
Adding iree_hal_device_queue_update. As with all queue DMA operations it's best if things are batched into command buffers but it's bad to have a command buffer with a single DMA operation - this completes the set of fill/update/copy operations at the queue level to match the command buffer DMA operations. Practically this is useful when combined with reusable/indirect command buffers for uploading new parameters in queue order prior to issuing a command buffer that references them. The compiler will use this to turn push constants into uniform buffers. An emulated version is added but implementations are encouraged to do better... they currently don't.
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
Package | Release status |
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GitHub release (stable) | |
GitHub release (nightly) | |
Python iree-compiler | |
Python iree-runtime |
Host platform | 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
IREE is licensed under the terms of the Apache 2.0 License with LLVM Exceptions. See LICENSE for more information.