| commit | 2eb645079595caf7f21a3c4164dbb02ce55e0652 | [log] [tgz] |
|---|---|---|
| author | Murali Vijayaraghavan <muralivi@google.com> | Sun Mar 12 22:12:09 2023 -0700 |
| committer | GitHub <noreply@github.com> | Sun Mar 12 22:12:09 2023 -0700 |
| tree | 2096ab84e16216a2cc47a70c4b209536c2728e07 | |
| parent | f7ee4a90c0e235eed3775c163f82b2632e4ccaaf [diff] |
Integrate llvm-project and bump dependencies. (#12562)
* llvm-project: e510d0bda0876c4baa3a270dca39b95da7ec6d9e
* mlir-hlo: e86610442f58b889a57bf814d75c4b50c769c2a3
* tensorflow: 67ba341c869e30ee4a89e040cd875d12b9bc666e
Cherry-picked from LLVM:
```
commit 80074d5fc0ab3f165865b15f5bf55ffac0917bcd (HEAD -> integrate-3-8-2023, fork/integrate-3-8-2023)
Author: Matthias Springer <me@m-sp.org>
Date: Fri Mar 10 11:25:15 2023 +0100
[mlir][NFC] reifyResultShapes: Add extra error checking
This change adds a new helper function `mlir::reifyResultShapes` that calls the corresponding interface method and also checks the result produced by the implementation when running in debug mode. Bugs due to incorrect interface implementations can be difficult to debug.
This helper function also reduces the amount of code needed at call sites: the cast to `ReifyRankedShapedTypeOpInterface` is done in the helper function.
Differential Revision: https://reviews.llvm.org/D145777
commit 32b15f601de173e9511f470f7423108d3154e582
Author: Matthias Springer <me@m-sp.org>
Date: Fri Mar 10 11:24:43 2023 +0100
[mlir][tensor/linalg] Fix bug in reifyResultShapes
`reifyResultShapes` should return an IntegerAttr if and only if the corresponding dimension is static.
Differential Revision: https://reviews.llvm.org/D145702
commit 894555cd6adf2e0faffe713373a266650b40bb4e
Author: David Green <david.green@arm.com>
Date: Wed Mar 8 12:48:21 2023 +0000
[AArch64] Fix load-insert-zero patterns with i8 and negative offsets.
These should have been using the LDURBi instructions where the offset is
negative, as reported from the reproducer in D144086.
```
Created a new commit on iree-mlir-hlo fork:
https://github.com/iree-org/iree-mhlo-fork/commit/b14e9d9b06255e4476f5698e3bfc531dec793dedIREE (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.