<table border="1" cellspacing="0" cellpadding="8">
<tr>
<th>Issue</th>
<td>
<a href=https://github.com/llvm/llvm-project/issues/128334>128334</a>
</td>
</tr>
<tr>
<th>Summary</th>
<td>
[MLIR]`-affine-super-vectorizer-test=vectorize-affine-loop-nest` triggers Assertion Failure `it != strategy.reductionLoops.end() && "Reduction descriptors not found when vectorizing a reduction loop"'
</td>
</tr>
<tr>
<th>Labels</th>
<td>
mlir
</td>
</tr>
<tr>
<th>Assignees</th>
<td>
</td>
</tr>
<tr>
<th>Reporter</th>
<td>
xisang0
</td>
</tr>
</table>
<pre>
Test on commit: https://github.com/llvm/llvm-project/commit/dca2ed31278c444f839e3e04fde0c21b62451d4a
steps to reproduce:
```
mlir-opt test.mlir -affine-super-vectorizer-test=vectorize-affine-loop-nest
```
test case:
```
module {
func.func @main() -> () {
%buffer = memref.alloca() : memref<1024xf32>
%O = memref.alloca() : memref<98x98xf32>
%c10 = arith.constant 10 : index
%sum_0 = arith.constant 0.0 : f32
affine.for %i = 0 to %c10 iter_args(%sum_iter = %sum_0) -> (f32) {
%t = affine.load %buffer[%i] : memref<1024xf32>
%sum_next = arith.addf %sum_iter, %t : f32
affine.yield %sum_next : f32
}
return
}
}
```
crash trace:
```
mlir-opt: /home/workdir/llvm-project-19/mlir/lib/Dialect/Affine/Transforms/SuperVectorize.cpp:1332: Operation *vectorizeAffineForOp(AffineForOp, VectorizationState &): Assertion `it != strategy.reductionLoops.end() && "Reduction descriptors not found when vectorizing a reduction loop"' failed.
PLEASE submit a bug report to https://github.com/llvm/llvm-project/issues/ and include the crash backtrace.
Stack dump:
0. Program arguments: ./mlir-opt /home/workdir/test.mlir -affine-super-vectorizer-test=vectorize-affine-loop-nest
#0 0x000056e0bfc74258 llvm::sys::PrintStackTrace(llvm::raw_ostream&, int) (./mlir-opt+0x10b5258)
#1 0x000056e0bfc71d7e llvm::sys::RunSignalHandlers() (./mlir-opt+0x10b2d7e)
#2 0x000056e0bfc74c68 SignalHandler(int) Signals.cpp:0:0
#3 0x0000749c0c20e520 (/lib/x86_64-linux-gnu/libc.so.6+0x42520)
#4 0x0000749c0c2629fc pthread_kill (/lib/x86_64-linux-gnu/libc.so.6+0x969fc)
#5 0x0000749c0c20e476 gsignal (/lib/x86_64-linux-gnu/libc.so.6+0x42476)
#6 0x0000749c0c1f47f3 abort (/lib/x86_64-linux-gnu/libc.so.6+0x287f3)
#7 0x0000749c0c1f471b (/lib/x86_64-linux-gnu/libc.so.6+0x2871b)
#8 0x0000749c0c205e96 (/lib/x86_64-linux-gnu/libc.so.6+0x39e96)
#9 0x000056e0bfdb032c vectorizeOneOperation(mlir::Operation*, (anonymous namespace)::VectorizationState&) SuperVectorize.cpp:0:0
#10 0x000056e0bfdad81c mlir::WalkResult llvm::function_ref<mlir::WalkResult (mlir::Operation*)>::callback_fn<vectorizeLoopNest(std::vector<llvm::SmallVector<mlir::affine::AffineForOp, 2u>, std::allocator<llvm::SmallVector<mlir::affine::AffineForOp, 2u>>>&, mlir::affine::VectorizationStrategy const&)::$_0>(long, mlir::Operation*) SuperVectorize.cpp:0:0
#11 0x000056e0bfd9cfc8 mlir::WalkResult mlir::detail::walk<mlir::ForwardIterator>(mlir::Operation*, llvm::function_ref<mlir::WalkResult (mlir::Operation*)>, mlir::WalkOrder) (./mlir-opt+0x11ddfc8)
#12 0x000056e0bfdabda5 vectorizeLoopNest(std::vector<llvm::SmallVector<mlir::affine::AffineForOp, 2u>, std::allocator<llvm::SmallVector<mlir::affine::AffineForOp, 2u>>>&, mlir::affine::VectorizationStrategy const&) SuperVectorize.cpp:0:0
#13 0x000056e0bfdabadf mlir::affine::vectorizeAffineLoopNest(std::vector<llvm::SmallVector<mlir::affine::AffineForOp, 2u>, std::allocator<llvm::SmallVector<mlir::affine::AffineForOp, 2u>>>&, mlir::affine::VectorizationStrategy const&) (./mlir-opt+0x11ecadf)
#14 0x000056e0c2ad5fd5 (anonymous namespace)::VectorizerTestPass::runOnOperation() TestVectorizationUtils.cpp:0:0
#15 0x000056e0c3069bcf mlir::detail::OpToOpPassAdaptor::run(mlir::Pass*, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int) (./mlir-opt+0x44aabcf)
#16 0x000056e0c306a352 mlir::detail::OpToOpPassAdaptor::runPipeline(mlir::OpPassManager&, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int, mlir::PassInstrumentor*, mlir::PassInstrumentation::PipelineParentInfo const*) (./mlir-opt+0x44ab352)
#17 0x000056e0c306fa0e auto void mlir::parallelForEach<__gnu_cxx::__normal_iterator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo*, std::vector<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo, std::allocator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo>>>, mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::$_0>(mlir::MLIRContext*, __gnu_cxx::__normal_iterator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo*, std::vector<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo, std::allocator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo>>>, __gnu_cxx::__normal_iterator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo*, std::vector<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo, std::allocator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo>>>, mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::$_0&&)::'lambda'(__gnu_cxx::__normal_iterator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo*, std::vector<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo, std::allocator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo>>>&&)::operator()<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo&>(__gnu_cxx::__normal_iterator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo*, std::vector<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo, std::allocator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo>>>&&) const Pass.cpp:0:0
#18 0x000056e0c306bb5b mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool) (./mlir-opt+0x44acb5b)
#19 0x000056e0c3069d29 mlir::detail::OpToOpPassAdaptor::run(mlir::Pass*, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int) (./mlir-opt+0x44aad29)
#20 0x000056e0c306a352 mlir::detail::OpToOpPassAdaptor::runPipeline(mlir::OpPassManager&, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int, mlir::PassInstrumentor*, mlir::PassInstrumentation::PipelineParentInfo const*) (./mlir-opt+0x44ab352)
#21 0x000056e0c306cade mlir::PassManager::run(mlir::Operation*) (./mlir-opt+0x44adade)
#22 0x000056e0c306562b performActions(llvm::raw_ostream&, std::shared_ptr<llvm::SourceMgr> const&, mlir::MLIRContext*, mlir::MlirOptMainConfig const&) MlirOptMain.cpp:0:0
#23 0x000056e0c3065283 llvm::LogicalResult llvm::function_ref<llvm::LogicalResult (std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, llvm::raw_ostream&)>::callback_fn<mlir::MlirOptMain(llvm::raw_ostream&, std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, mlir::DialectRegistry&, mlir::MlirOptMainConfig const&)::$_0>(long, std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, llvm::raw_ostream&) MlirOptMain.cpp:0:0
#24 0x000056e0c310e9e5 mlir::splitAndProcessBuffer(std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, llvm::function_ref<llvm::LogicalResult (std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, llvm::raw_ostream&)>, llvm::raw_ostream&, llvm::StringRef, llvm::StringRef) (./mlir-opt+0x454f9e5)
#25 0x000056e0c305eee2 mlir::MlirOptMain(llvm::raw_ostream&, std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, mlir::DialectRegistry&, mlir::MlirOptMainConfig const&) (./mlir-opt+0x449fee2)
#26 0x000056e0c305f193 mlir::MlirOptMain(int, char**, llvm::StringRef, llvm::StringRef, mlir::DialectRegistry&) (./mlir-opt+0x44a0193)
#27 0x000056e0c305f3a2 mlir::MlirOptMain(int, char**, llvm::StringRef, mlir::DialectRegistry&) (./mlir-opt+0x44a03a2)
#28 0x000056e0bfc53477 main (./mlir-opt+0x1094477)
#29 0x0000749c0c1f5d90 (/lib/x86_64-linux-gnu/libc.so.6+0x29d90)
#30 0x0000749c0c1f5e40 __libc_start_main (/lib/x86_64-linux-gnu/libc.so.6+0x29e40)
#31 0x000056e0bfc52fe5 _start (./mlir-opt+0x1093fe5)
Aborted (core dumped)
```
</pre>
<img width="1" height="1" alt="" src="http://email.email.llvm.org/o/eJzsWltv2zj2_zTMCxGDou4PeVCTGP8C7T9B0519NCjyyOZWIrUk1Sb76ReUZEtW7LSZabc7swVyscnD37kfHlFk1sqtArhC8RsU31ywzu20uXqUlqktuSi1eLr6CNZhrTDXTSMdCgu8c661KCwQXSO63kq368oV1w2i67r-vP932Rr9D-AO0fW4lK4FZxREGNA041EUVVmYQwgkqgQQToMyoVEciIghUlgHrcVOYwOt0aLj4DmSAiVk_CFFU0tzqVuHHVi38t_wJasqqeDSdi2Yy8_AnTbyX2AuPQkKbw4je8Ja6_ZS-cljbE-PObOn2GrR1YBR-gaRAuOqU3zl_2AUkYZJhWiGaI4vUXiLx897WowRjcuuqsBgFN7gBhoD1YrVteZsTxsW4zgKrwNCo8cqpCi8nQDuvm1tnj3m2bPFPCD9cmak2624VtYx5XA_WmCpBDxOxLZrNifJyWqg9-gD9WDPVaWNXyj7RcQ7cOQpHZgNM1vbi9oj-6Gebs9pbjaPfGS5XiA3CDPwqjUTk0F9DNNYovjmRROOvBQ8upliTIgKz8RC9HrPbq7kQc0nCbVYYM0JUXozfjLgOqP6L8Pg-HcWUNwwu8POsJeC3OMjut7pBhBdf9Hmk5BmkWuXQY7o2q_wE7JEdH0jWT1kYdFLjuj6o2HKVto0FtH1g0-U3_ZZseJti8IiCL25CnzXgmFOaoURLQ6pMwCttblrEc2Ovl3jPVS_7MExBxjRBNHc4xXWghnwEiIdRjTwLrDOMAfbp5UB0XE__07r1q5AiX1ce4gEI0o_7EmwAMuNbJ02FivtcKU7JfCXHSi8F1WqLWb4gIp9siNKEU1xxWQNYoVIcf_utni4xbYrG-kww2W39UVHG-ej99XFTlrbgbcsZkpgqXjdCcBuB3hwc8n4p97VnveDY_wTFl3TDo4nqyHK7o3eGtZgZrZdA8p5CfBq9G1f8k6FwncqgxjRkGDySAghcQKkrHga0TjDvcJhgcLCPtnhw72RyvVafOzDl2YTkWFfNto6A6zp_XeNpXKDN7O5Loi-IY8BKWMae2ePEgQLCQKRwikJPnTqQW4Vq_-PKVGDsYeQOcmEihQmJnSpJk8yfASHaDZKPQzbMUVI_zughCNKGuWccEogpmSo_GMSPmbJJokua6m6x8ut6oYJvrJ6lfSCRTSmZBIrOgZMaF5x3LqdASY2n2Rdvw49T_KKT-jxUtwoTfDW9uq9VuwoTSbg5Ag4qKK0CjErfSa9CpZmaRVOsOkz2KB8NWBQToDZwgAx5MnrAMMc8pni-VEYiZKElB-KENwpOBRSRLO-PPehOxsthg0nY0qrp0Z3FivWgG37nMoH8ueldais-GQN3weoT6XjbBZMZAHHkxx_Z_WnD2C72s0SzHc0ntFm2EVPUr-gTe63236cs7r2RW9TKRReH6ziS_z_-4JDM-vEQDpMovB6EuOhYXX923584jbUreHzYguinedNr_EBd-iRvhv08DOUtNPLFq4atjfcd0-H3bDfVKIN6bGyWqvtMd7Cnl_38nHFFDmveHbay9OgAMdkPXz-wupPR4ZYa_OFGfHWeUG8kW5fDN_vGztHtvDr7ozw5fhMZQ-EqPi4fXhj0EXIl4LF-FfwfWPBCJfWY6I6w23RFv6PW_Z0bAJnoppiM5pZl1Mm4krE31r8wfgH8ntmx_bHdOpOzbcXL4UnOZL1b04-61y8JPFckpAkecmrM9Xhrv2o71rPuBCs7Y078j_K5F6yoR6crxTTTKFY_WSlfc8U2w6PXaXWtf_fqf5wQrzUNUYRYyWfmTZZKMTCmL5aoXvZQt0_Kx2VKE96kDP57hrOF3lWb5V1pu_-tXmGekwwcB4mRtnvmQHl3qpK7-OzeMGIZRjTyYjpwogVI4BZ5zT-rKWYSdEyw-oa6rU2t4zvUHi92WxVt-GPjwPBZqO0aVjdP1OzZUZ-mzdm4V3YJ8XfNm2NaDYYMT84573XdbTT88rzY5meqUk_lOlUsK5fHeDfwmjWm0zw79-9_XCtlYNHN5r6l8N_hsN_Wf2vlWb98dZsLK1ZUwqGaIpo9svZ_3lnH_lDt6Oh--7qh2ueDFX3l9t_mtuHlgl74BNNc7Zoj8oyLr9zbTjXp_EyLqc-LV9274Lmf7buXdD8oBAlv7r3P9y902BhRM4ELHjvtTkZA8tzpzNMBRMwMaULpnFCS9yCqbRpiv4syH7l3cAh7e2OGRCb1i0e63VnOLzfGhTezh6552Z93p3O5mpp7lr3nkl1rVUlt0eP7bPZ5wlPw6VyNAtnp13v9FZyVn_tBPXcgvlJSafkPzt4pvt7aLR5ejO85pzbSkDFutptBNTg4PyaQwtz3gPnDmxPmvBbffnD9ZmkG190foCttM48PQ-OlwLg2SPP_jj2v8IzXwnPo-OkMCCQQzxT3La1dIUS90ZzsHYv608Juj9hSrxIMZ97cEaq7Qeozg6fqaVxVOUQT7V0cSgXAwA9Hch_tTQ8s9fkFcBsg1uc8cVVkIdn7TNuznzHhm24eK3Tvqbc2Q2SBHk4CZ0uhQ7Zeae-RujfK13IZibNjt-Dx2GUprhhUp15jZ5HUZpOy_PFG9pY5K98AU5zkZMD4OH6wQEQIoI3G79mYx0zbrMX7jUsIJqxWNwviGkFMR7AzykdVvs0LUptHAhPyLWB_gYHiBF8f3nnQlyFIg9zdgFXQRoRGoQJiS92V4TmNKCQEKgAYlYCJ5EgOQ95HECaZxfyihIaE0opySJC4lUKSchIWrEsiJOcVigi0DBZr3xQrLTZXvTXTq4CmoVhdFGzEmrb3-qjdLgORFF8c2Gu-ssqZbe1KCK1tM5OCE66ur8J6NsoFN-ghPyBayQJwc7I7RaMnV37WTNZdwZ--vWfi87UV7__as9o5s9X9N8BAAD__4uIwi8">