commit | ad57a7ddd4ec58f6a59e5b3060e6505600e42034 | [log] [tgz] |
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author | MaheshRavishankar <1663364+MaheshRavishankar@users.noreply.github.com> | Tue Mar 15 15:09:39 2022 -0700 |
committer | GitHub <noreply@github.com> | Tue Mar 15 15:09:39 2022 -0700 |
tree | 6cda10de265ce13cbb7c0cbd986ca80a3185ae36 | |
parent | 89f079f1dcab2148ef5b58ef78ad68b152d4ab0a [diff] |
Integrate llvm-project at 8361c5da30588d3d4a48eae648f53be1feb5cfad (#8542) * Integrate llvm-project at 8361c5da30588d3d4a48eae648f53be1feb5cfad * Reset third_party/llvm-project: 8361c5da30588d3d4a48eae648f53be1feb5cfad (2022-03-14 16:55:09 +0100): [SLPVectorizer] Handle external load/store pointer uses with opaque pointers * Cherry pick changes from 423f9c21e7e56882ea9984bc67c3bb51010660b3 * Update linalg.fill to new syntax. Use this very helpful command line ``` find . -name "*.mlir" | xargs grep "linalg\.fill" | awk -F: '{print $1}' | sort | uniq | xargs sed -i 's/linalg\.fill(\([^,]*\), \([^)]*\)) : \([^,]*\), \([^>]*\)> -> \(.*\)/linalg.fill ins(\1 : \3) outs(\2 : \4>) -> \5/g' ``` Catches most cases. Some variants of this needed in other places. * Update MHLO dependencies. * Disable TensorFlow narrowing warnings (c++11-narrowing). Co-authored-by: Nicolas Vasilache <ntv@google.com> Co-authored-by: Stella Laurenzo <stellaraccident@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!
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.