commit | 7cf3fc6813e909eab7f58aa45865675575b6cef0 | [log] [tgz] |
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author | Quinn Dawkins <quinn.dawkins@gmail.com> | Sat Aug 17 11:14:49 2024 -0400 |
committer | GitHub <noreply@github.com> | Sat Aug 17 15:14:49 2024 +0000 |
tree | 90f2e876b79381589e8e7cd06cd6755f34306873 | |
parent | b7efdff0515b5b100450fb367d91c00e7f0a1053 [diff] |
[Codegen][GPU] Fix allocation space in iree_gpu.shuffle_tensor lowering (#18250) The memory space for the destination of an `iree_gpu.shuffle_tensor` op must always be shared once lowered. Before lowering it is valid for it to be unspecified, but up until now the lowering was making no guarantee that we ended up with a shared memory space. This changes the memory space and re-enables private allocations from bufferization. This fixes any potential correctness problems arising from vectorization failures.
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.