commit | 1aada43632919ee71ad1c0b26d179b2f29be0ab9 | [log] [tgz] |
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author | Christopher McGirr <7071833+chrsmcgrr@users.noreply.github.com> | Wed Nov 20 17:24:37 2024 +0100 |
committer | GitHub <noreply@github.com> | Wed Nov 20 17:24:37 2024 +0100 |
tree | 5b9def708f7b1bae9d379c7113512c36396204da | |
parent | 901db6e3520aa1921871ccc7c995767d2f84b5e0 [diff] |
fix(TensorSliceOp::fold): ignore DenseResourceElementsAttr (#19182) Fixes: #17566 Certain cases involve constants who have been converted to resources. The following change simply ignores these in the folding operation. One possible future improvement is to perform the slicing at compile time as we do for the DenseElements, but for now to unblock failing models this is good enough Signed-off-by: Christopher McGirr <mcgirr@roofline.ai>
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-base-compiler | |
Python iree-base-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.