| commit | a177be5528337575ee1b7079958d4250b2eb749f | [log] [tgz] |
|---|---|---|
| author | gdehame <145553531+gdehame@users.noreply.github.com> | Mon Feb 17 12:20:58 2025 +0100 |
| committer | GitHub <noreply@github.com> | Mon Feb 17 11:20:58 2025 +0000 |
| tree | c1f2950f08b520559432d42883dfabb3f5cb233b | |
| parent | 837b89fc0fc6d0ae7f68e835789ee62580314dcc [diff] |
[mlir][Linalg] Bugfix in decompose generic by unfolding permutation (#126737)
The pattern was returning success() by default which made the greedy
pattern application act as if the IR was modified and even though
nothing was changed and thus it can prevent it from converging for no
legitimate reason.
The patch makes the rewrite pattern return failure() by default and
success() if and only if the IR changed.
An example of unexpected behavior is by running `mlir-opt input.mlir
--linalg-specialize-generic-ops`, we obtain an empty mlir as output with
`input.mlir` as follows:
```
#map = affine_map<(d0) -> (d0)>
func.func @f(%arg0: tensor<8xi32>, %arg1: tensor<8xi32>) -> tensor<8xi32> {
%0 = tensor.empty() : tensor<8xi32>
%1 = linalg.generic {indexing_maps = [#map, #map, #map], iterator_types = ["parallel"]} ins(%arg0, %arg1: tensor<8xi32>, tensor<8xi32>) outs(%0: tensor<8xi32>) {
^bb0(%in: i32, %in_0: i32, %out: i32):
%2 = arith.addi %in, %in_0: i32
linalg.yield %2: i32
} -> tensor<8xi32>
return %1 : tensor<8xi32>
}
```
Welcome to the LLVM project!
This repository contains the source code for LLVM, a toolkit for the construction of highly optimized compilers, optimizers, and run-time environments.
The LLVM project has multiple components. The core of the project is itself called “LLVM”. This contains all of the tools, libraries, and header files needed to process intermediate representations and convert them into object files. Tools include an assembler, disassembler, bitcode analyzer, and bitcode optimizer.
C-like languages use the Clang frontend. This component compiles C, C++, Objective-C, and Objective-C++ code into LLVM bitcode -- and from there into object files, using LLVM.
Other components include: the libc++ C++ standard library, the LLD linker, and more.
Consult the Getting Started with LLVM page for information on building and running LLVM.
For information on how to contribute to the LLVM project, please take a look at the Contributing to LLVM guide.
Join the LLVM Discourse forums, Discord chat, LLVM Office Hours or Regular sync-ups.
The LLVM project has adopted a code of conduct for participants to all modes of communication within the project.