<table border="1" cellspacing="0" cellpadding="8">
    <tr>
        <th>Issue</th>
        <td>
            <a href=https://github.com/llvm/llvm-project/issues/71150>71150</a>
        </td>
    </tr>

    <tr>
        <th>Summary</th>
        <td>
            [mlir] --tosa-to-scf --canonicalize crashed with assertion failure "succeeded(ConcreteT::verify(getDefaultDiagnosticEmitFn(ctx), args...))"
        </td>
    </tr>

    <tr>
      <th>Labels</th>
      <td>
            mlir
      </td>
    </tr>

    <tr>
      <th>Assignees</th>
      <td>
      </td>
    </tr>

    <tr>
      <th>Reporter</th>
      <td>
          anonymousMCS
      </td>
    </tr>
</table>

<pre>
    git version: a1358225c5b791fa9d901e74fb09606189c0e6af

system: ```Ubuntu 20.04.6 LTS (Focal Fossa)```

reproduced with: ```mlir-opt --tosa-to-scf --canonicalize a.mlir```

a.mlir:
```
func.func private @func2() {
  %c11 = arith.constant 11 : index
  %c21 = arith.constant 21 : index
  %c6 = arith.constant 6 : index
  %c27 = arith.constant 27 : index
  %c19 = arith.constant 19 : index
  %45 = affine.apply affine_map<(d0)[s0] -> (-((d0 mod 4) mod 16 + 4))>(%c21)[%c11]
  %c30 = arith.constant 30 : index
  %c31 = arith.constant 31 : index
  %20 = tensor.empty(%c27, %c6, %c31) : tensor<?x?x?xi1>
  %55 = tensor.empty() : tensor<16x2xi32>
  %123 = "tosa.bitwise_not"(%20) : (tensor<?x?x?xi1>) -> tensor<?x?x?xi1>
  %129 = tensor.empty(%c19, %c27, %45) : tensor<?x?x?xi1>
  %130 = "tosa.add"(%123, %129) : (tensor<?x?x?xi1>, tensor<?x?x?xi1>) -> tensor<?x?x?xi1>
  %152 = tensor.empty(%c31, %c30, %45) : tensor<?x?x?xi1>
  %153 = "tosa.scatter"(%130, %55, %152) : (tensor<?x?x?xi1>, tensor<16x2xi32>, tensor<?x?x?xi1>) -> tensor<?x?x?xi1>
 return
}
```


trace:
```
mlir-opt: /data/bin/llvm-project/mlir/include/mlir/IR/StorageUniquerSupport.h:180: static ConcreteT mlir::detail::StorageUserBase<ConcreteT, BaseT, StorageT, UniquerT, Traits>::get(mlir::MLIRContext*, Args&& ...) [with Args = {llvm::ArrayRef<long int>&, mlir::Type&, mlir::Attribute&}; ConcreteT = mlir::RankedTensorType; BaseT = mlir::TensorType; StorageT = mlir::detail::RankedTensorTypeStorage; UniquerT = mlir::detail::TypeUniquer; Traits = {mlir::ShapedType::Trait}]: Assertion `succeeded(ConcreteT::verify(getDefaultDiagnosticEmitFn(ctx), args...))' failed.
PLEASE submit a bug report to https://github.com/llvm/llvm-project/issues/ and include the crash backtrace.
Stack dump:
0.      Program arguments: /data/bin/llvm-project/build/bin/mlir-opt --tosa-to-scf --canonicalize a.mlir
 #0 0x0000564cc8ca38bf llvm::sys::PrintStackTrace(llvm::raw_ostream&, int) (/data/bin/llvm-project/build/bin/mlir-opt+0x15db8bf)
 #1 0x0000564cc8ca0954 SignalHandler(int) Signals.cpp:0:0
 #2 0x00007fb8c0a7f420 __restore_rt (/lib/x86_64-linux-gnu/libpthread.so.0+0x14420)
 #3 0x00007fb8c056a00b raise (/lib/x86_64-linux-gnu/libc.so.6+0x4300b)
 #4 0x00007fb8c0549859 abort (/lib/x86_64-linux-gnu/libc.so.6+0x22859)
 #5 0x00007fb8c0549729 (/lib/x86_64-linux-gnu/libc.so.6+0x22729)
 #6 0x00007fb8c055afd6 (/lib/x86_64-linux-gnu/libc.so.6+0x33fd6)
 #7 0x0000564ccb9c009f mlir::RankedTensorType mlir::detail::StorageUserBase<mlir::RankedTensorType, mlir::TensorType, mlir::detail::RankedTensorTypeStorage, mlir::detail::TypeUniquer, mlir::ShapedType::Trait>::get<llvm::ArrayRef<long>&, mlir::Type&, mlir::Attribute&>(mlir::MLIRContext*, llvm::ArrayRef<long>&, mlir::Type&, mlir::Attribute&) (/data/bin/llvm-project/build/bin/mlir-opt+0x42f809f)
 #8 0x0000564ccb9c00ed mlir::RankedTensorType::get(llvm::ArrayRef<long>, mlir::Type, mlir::Attribute) (/data/bin/llvm-project/build/bin/mlir-opt+0x42f80ed)
 #9 0x0000564cca948c22 mlir::tensor::ExtractSliceOp::inferCanonicalRankReducedResultType(unsigned int, mlir::RankedTensorType, llvm::ArrayRef<long>, llvm::ArrayRef<long>, llvm::ArrayRef<long>) (/data/bin/llvm-project/build/bin/mlir-opt+0x3280c22)
#10 0x0000564cca949043 mlir::tensor::ExtractSliceOp::inferCanonicalRankReducedResultType(unsigned int, mlir::RankedTensorType, llvm::ArrayRef<mlir::OpFoldResult>, llvm::ArrayRef<mlir::OpFoldResult>, llvm::ArrayRef<mlir::OpFoldResult>) (/data/bin/llvm-project/build/bin/mlir-opt+0x3281043)
#11 0x0000564cca97a434 (anonymous namespace)::InsertSliceOpConstantArgumentFolder<mlir::tensor::InsertSliceOp>::matchAndRewrite(mlir::tensor::InsertSliceOp, mlir::PatternRewriter&) const TensorOps.cpp:0:0
#12 0x0000564cc94a09ea mlir::detail::OpOrInterfaceRewritePatternBase<mlir::tensor::InsertSliceOp>::matchAndRewrite(mlir::Operation*, mlir::PatternRewriter&) const (/data/bin/llvm-project/build/bin/mlir-opt+0x1dd89ea)
#13 0x0000564cce529688 mlir::PatternApplicator::matchAndRewrite(mlir::Operation*, mlir::PatternRewriter&, llvm::function_ref<bool (mlir::Pattern const&)>, llvm::function_ref<void (mlir::Pattern const&)>, llvm::function_ref<mlir::LogicalResult (mlir::Pattern const&)>) (/data/bin/llvm-project/build/bin/mlir-opt+0x6e61688)
#14 0x0000564ccb8d463c (anonymous namespace)::GreedyPatternRewriteDriver::processWorklist() GreedyPatternRewriteDriver.cpp:0:0
#15 0x0000564ccb8d8aab mlir::applyPatternsAndFoldGreedily(mlir::Region&, mlir::FrozenRewritePatternSet const&, mlir::GreedyRewriteConfig, bool*) (/data/bin/llvm-project/build/bin/mlir-opt+0x4210aab)
#16 0x0000564ccb83e17a (anonymous namespace)::Canonicalizer::runOnOperation() Canonicalizer.cpp:0:0
#17 0x0000564ccb81f0ce mlir::detail::OpToOpPassAdaptor::run(mlir::Pass*, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int) (/data/bin/llvm-project/build/bin/mlir-opt+0x41570ce)
#18 0x0000564ccb81f5aa mlir::detail::OpToOpPassAdaptor::runPipeline(mlir::OpPassManager&, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int, mlir::PassInstrumentor*, mlir::PassInstrumentation::PipelineParentInfo const*) (/data/bin/llvm-project/build/bin/mlir-opt+0x41575aa)
#19 0x0000564ccb81fdd4 mlir::PassManager::run(mlir::Operation*) (/data/bin/llvm-project/build/bin/mlir-opt+0x4157dd4)
#20 0x0000564ccb810b5b performActions(llvm::raw_ostream&, std::shared_ptr<llvm::SourceMgr> const&, mlir::MLIRContext*, mlir::MlirOptMainConfig const&) MlirOptMain.cpp:0:0
#21 0x0000564ccb812014 processBuffer(llvm::raw_ostream&, std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, mlir::MlirOptMainConfig const&, mlir::DialectRegistry&, llvm::ThreadPool*) MlirOptMain.cpp:0:0
#22 0x0000564ccb8121c4 mlir::LogicalResult llvm::function_ref<mlir::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&)::'lambda'(std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, llvm::raw_ostream&)>(long, std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, llvm::raw_ostream&) MlirOptMain.cpp:0:0
#23 0x0000564ccb911124 mlir::splitAndProcessBuffer(std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, llvm::function_ref<mlir::LogicalResult (std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, llvm::raw_ostream&)>, llvm::raw_ostream&, bool, bool) (/data/bin/llvm-project/build/bin/mlir-opt+0x4249124)
#24 0x0000564ccb80ac77 mlir::MlirOptMain(llvm::raw_ostream&, std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, mlir::DialectRegistry&, mlir::MlirOptMainConfig const&) (/data/bin/llvm-project/build/bin/mlir-opt+0x4142c77)
#25 0x0000564ccb812311 mlir::MlirOptMain(int, char**, llvm::StringRef, llvm::StringRef, mlir::DialectRegistry&) (/data/bin/llvm-project/build/bin/mlir-opt+0x414a311)
#26 0x0000564ccb812776 mlir::MlirOptMain(int, char**, llvm::StringRef, mlir::DialectRegistry&) (/data/bin/llvm-project/build/bin/mlir-opt+0x414a776)
#27 0x0000564cc8bdae3b main (/data/bin/llvm-project/build/bin/mlir-opt+0x1512e3b)
#28 0x00007fb8c054b083 __libc_start_main (/lib/x86_64-linux-gnu/libc.so.6+0x24083)
#29 0x0000564cc8c73f8e _start (/data/bin/llvm-project/build/bin/mlir-opt+0x15abf8e)
Aborted (core dumped)
```
</pre>
<img width="1px" height="1px" alt="" src="http://email.email.llvm.org/o/eJzcWl9z4rqS_zTKiyqULPnvQx4IhN2pmqmkkpzaR0qWZNCOkb2SPBPOp9-SbMB2gDBDzrnn3qkkY-zuVvev_0qGGiNXSog7EN2DaH5DG7uu9B1VldpuqsZ8m73c5BXf3q2khT-ENrJSgEwhDUiUYhyxKE-yoKAZz1AgkrDIURajOEgzhkRMC4DmAE3bv2ZrrNg4bhCj9uePvFG2gRhNUDiJ4dfXFwhwuqgYLeGiMoYCnO2J-7K0qHXFGyY4_CnteiB0U0p9W9UW3t7aytBbW90aVsDbW-bMkoyW8k8B6cTRHRXePSLdxxFN0Sg2cX9greUPagUEIXKfMcApwBkEyX1LCSHAEQsCCMgcUi3tesIqZSxVFvq7UygVF299anyUGp-gjo8RxyckJ0clJ8epg-yo1tlR6jBqiYtCKjGhdV1uuw_LDa0BmQGccuR8Gd0bBKI5vAXkwbn61mOWcgQ3FYehg89dBDEE-N5_dj_kwZM5dFohLa4gmvdVJuiYyv7uEQPJUaDJcaBxK9oKZSo9EZvabncaJQDPWl_sLkjgo4BMO3pnP1m87X5l4Ow5yI6i47JHIoL4Db9JgofMASaeG2DsYn2SS_tTGrFUlQW4DcgIo50wgNMzKuGsdctFWgc4OwVJkO2Q2IMTRr8ESdC5cmcV5XxvTYBJJzTwwXGJYbNzy_6a2RE-ZbZzexcA6DfNjobONIxaK_TB9L3gKNphEOFfx6AfSp-EjRa20aqrl8n8aOHs_7WaMnGqwu4KeGvVglNLAV7kUgG8KMsfm9taV_8rmAV44Qs1XkjFyoaLw40vzwAvXmyl6Ur8oeT_NUK_NHVdaTtxzSJIkRNuLLWSwVmlmBZWvMJd3SdTLiyVZXu9k2OEvqdGADLbczj83D1_0dH5625Rf_2qqbTGgeXFrYQFOD0s9e3rl-dZpax4swBPHcNUrwzAMcAxnEwm3sHRvetz_kkbI8m9g6KVMNWabp9FAcisrNQKSmW993xJOiz0uq3Fu5tTa7XMG-ufJHNA7nt4uJUOpM9UfRf81ceCl0XuW-NHdEOKHSojoj7AY8Edi-Pe4XiG23F0ZI6jRXsH0oHlZU1rwVutPJujcxZHcxcLU2OEtrJSbpAwDWNCcMEBTg--9mw_hJaFy_mVsHNR0Ka0c0lXqjJWsoeNtAsFcMrsm-9dM0j1yrRO9D8JLKgsBZ-0of709WH68gBNk2-khRTmzQpq4eIU2gqura2NWxYvAF6spF03-YRVmy4P3qeDNKYRBuAFpIrDLiugXQvINDVrmFP23adet_yLpew75M2m3ucimkD_70lXK003Tv9mI5SL3w-zMW9kyfcPf2kOa8sIwARB9IYQQlEcMpYyStK8gIdQN1vTXjxpqazX_9XXEpweiDT9uayM1YJuunh3GeHSyNXR3zAB4Hv0FkQ8T_PCuXGvbTDSFmVRCF_kStHyv6nipaveabd4e9tMWO3QRv53Lwh3gpIiTxmiSRFiBJdLLYyttFhq2-leyhzgxVsaL-PwtpSqebtdqaZ9UNu1FpRPTDVBrcZh6Jv_YRkyWCaKKUI51FQacYF85iTHXnJIEMoHksOh5DBLowzSvLpI855kjNMoG0iOxpKTvScvlpngocx4KDOiBY9_TSYhBY8HMpN-LOQZQygrzlTPi5vNmQI8LO8n7l9SaU8y9IvrgOh4Oe33ODI72aF-rzv5bcC5vvnJ611bMEJcpCgbFoz0XZAIfrbFHiaG89a9N-2EXZ9hlGuMPaOyvlE0C1OGcW_x3fTorh_eXP-xL6Vk4rFu70lVCD3bNQUHwbPwe_tnYZrSttakjfJHFbyt5bNzoH0YCtc-vxJDglPE3FTfYegaCRphmKGQ_BMxPLA81ouq7OSfQ-1TOa5HPkAhGSAfDJFPaEhCt8r-EAwquhGm9lNG1ur1RblpsfPArDs9mHajklPZzaKz4-4b8O4r5oZatp4q_ix-aunyNL2Ee-DDJ79dVJ0E3ZUwf7YBW88-1kfGD4cB7mOQhRRlgp7oCI_1o_6irNAFZaJbq1v5XcO6zuzHWmjqRvKuvF9m6XUzHudpJuggPkgfGxHhLE7T97pM67qUjNqduZ9nWD9JikYxx7jUPlHyqirhQHQnoMWixeVdpo2E_Kgkv1rIgflrtfIlyOfsZXKvTOpYxEGcpgOnhYM-m_IwJuyjpP4vLQTfDl0w1_KH6NSvdcWEMf9T6e-ldAb4U7rTXMdTLRppllKa9yLAn5520sxUcVdM_BKy3A7AfBYrH0GjCWahqz-FGubli7A9zPvUrfId9axShVw5AhdXPjavHhYCRGk-8Ew8tJ-IIKEfeWbW2zF2mutGPapeInlfDOiOwz-c0tOgQOzUKP5Yv1aP9RM1Zsppvc9s3ahRVBvzLpFPp_hU0XJrpPlGFV21U3UL9wwO2_O12AdRgloM98anY-MjerrMnzL-SdailGpc0hzp3qb409EYVkljvihjtW-3lT5SRvsE7crtg073J6qFsl9UUe0S4xOCPYiSiA57RzYGnPNwpOfO8qOxNQTuExTkPOwriNFIQZRHOayFLiq9mfoCbz44WjGWd0cza6oFX9ZWD7Z-L1Wjmfi20oA8nKhC73dyvWel1I-1_UalautTv3vA3tOj6Y6DkX0YBSHsCvl9UxT-gOYi8xq_C35n3jexqfR2J6pHz9vDwSUXpbDiNI-bhB4ut7lPN5e0FMy6TmCs3r6bFl79edDToZh_CBcewxWwfrwOe_vvDAN_H5ynnZrtp09GyzKn7PuyUAO1ezj9A8PjuNsvTJmWBOCkpJucU4CTf5JXcOr32H8rsGdU-jhhyPA8JwgC3E8YU5fSThV_GlWcf4V1_4ZJepbiMCm0_189q4ZZgIfdcbSLQJQlyfFE-08rE9dOGiFmSTLAMhq3FhIEJ7HsRj62pu1wNzrefbFaqtWzKM7cPg_E9QZSEgQDA-OxgUkSf4qBf7klSRIPLBnskdKcU0FyuKFSXfsCLcCCDHaDOB293MlRSuByWcqcLY2l2i576176uidE6eCID2fD13QJKVIBW_nXmkTzIj1ssqZ5pa3wxyms0sK_Wu0dlu-_6HDD7wjPSEZvxF0QZ2mW4SRMbtZ3CeUsiEhKSBJhGgYxY2GQ5GHEiwQJwm7kHUYudRBBMY7CZFJQEqZpFLCMpCIkCIRIbKgsJ86KSaVXN_6t8F0SBBG6KWkuSuO_7odx-2UJDKL5jb7zRufNyoAQldJYcxBgpS39VwQ9QzQ__0bXv2ruvpgH6f61ekFl2WgBAcZ_3et1fNPo8u7335t7kP4_AAD___lUcLM">