commit | e6ea095c84fae19b0e223a783fa2fb2e8eefd099 | [log] [tgz] |
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author | harsh-nod <harsh@nod-labs.com> | Mon Jan 10 17:44:25 2022 -0800 |
committer | GitHub <noreply@github.com> | Mon Jan 10 17:44:25 2022 -0800 |
tree | b92f3e6c77a11443e5d3519418054345c020a435 | |
parent | 603e9fc081442f4f98a76890e64c5f58d7761a62 [diff] |
First pass at linalg_ext.scan op (#8020) This pass adds the first version of the scan op in the linalg_ext dialect. Currently, the op requires specifying the dimension, whether the scan is inclusive or not as well as body specifying the operator for scan. The current patch adds code to lower the op to loops using the naive sequential implementation. The tiled implementation is borrowed from the sort op. Finally, some unit tests have also been added to test the passes.
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.