commit | b249aa7fd123d93ce3a652084876785c73e23c9d | [log] [tgz] |
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author | Max191 <44243577+Max191@users.noreply.github.com> | Fri Sep 13 07:01:27 2024 -0700 |
committer | GitHub <noreply@github.com> | Fri Sep 13 14:01:27 2024 +0000 |
tree | 8cc0c53ce716955ed98e5c113a4394076a8502bc | |
parent | d1b42148d3003701944ff4fafbd15ba40e36b5e5 [diff] |
[Flow] Add pass to fuse encoding ops into dispatch regions after hoisting (#18069) This PR is the follow up to https://github.com/iree-org/iree/pull/18063, implementing the fusion pass to move set_encoding ops into producer dispatch regions when when the producer op is a LinalgOp. If there is no fusable producer, then the set_encoding is wrapped in a new dispatch region. This PR also implements the ReifyRankedShapedTypeOpInterface for DispatchRegionOp, which is needed to resolve tensor dim ops after moving dynamically shaped SetEncoding ops into producer dispatch regions. The implementation simply takes the dynamic dims from the result dynamic dims of the dispatch region op. --------- Signed-off-by: Max Dawkins <max.dawkins@gmail.com>
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 |
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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.