<table border="1" cellspacing="0" cellpadding="8">
    <tr>
        <th>Issue</th>
        <td>
            <a href=https://github.com/llvm/llvm-project/issues/73288>73288</a>
        </td>
    </tr>

    <tr>
        <th>Summary</th>
        <td>
            [mlir] --convert-linalg-to-affine-loops crashed
        </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: ba89749cd24950c9c51f4cc64277ce0421d86d20

system: Ubuntu 20.04.6 LTS (Focal Fossa)

reproduced with: ```mlir-opt --convert-linalg-to-affine-loops a.mlir```

a.mlir:
```
#map = affine_map<(d0)[s0] -> (d0 mod s0)>
#map1 = affine_map<(d0)[s0] -> (d0 floordiv s0)>
llvm.func @malloc(i64) -> !llvm.ptr
func.func @func1(%arg0: memref<3xi32, #spirv.storage_class<StorageBuffer>>) {
  %c16 = arith.constant 16 : index
  %0 = llvm.mlir.constant(0 : index) : i64
 %1 = llvm.mlir.constant(1 : index) : i64
  %2 = llvm.mlir.constant(64 : index) : i64
  %idx0 = index.constant 0
  %20 = llvm.mlir.constant(13101 : i16) : i16
  %44 = llvm.mlir.constant(26 : index) : i64
  %57 = llvm.mlir.constant(16 : index) : i64
  %80 = builtin.unrealized_conversion_cast %idx0 : index to i64
  %120 = llvm.mul %80, %57  : i64
  %121 = llvm.mul %120, %44  : i64
  %122 = llvm.mlir.zero : !llvm.ptr
  %123 = llvm.getelementptr %122[%121] : (!llvm.ptr, i64) -> !llvm.ptr, i16
  %124 = llvm.ptrtoint %123 : !llvm.ptr to i64
  %125 = llvm.add %124, %2  : i64
  %126 = llvm.call @malloc(%125) : (i64) -> !llvm.ptr
  %127 = llvm.ptrtoint %126 : !llvm.ptr to i64
  %128 = llvm.sub %2, %1  : i64
  %129 = llvm.add %127, %128  : i64
  %130 = llvm.urem %129, %2  : i64
  %131 = llvm.sub %129, %130  : i64
  %132 = llvm.inttoptr %131 : i64 to !llvm.ptr
  %133 = llvm.mlir.undef : !llvm.struct<(ptr, ptr, i64, array<3 x i64>, array<3 x i64>)>
  %134 = llvm.insertvalue %126, %133[0] : !llvm.struct<(ptr, ptr, i64, array<3 x i64>, array<3 x i64>)> 
  %135 = llvm.insertvalue %132, %134[1] : !llvm.struct<(ptr, ptr, i64, array<3 x i64>, array<3 x i64>)> 
 %136 = llvm.insertvalue %0, %135[2] : !llvm.struct<(ptr, ptr, i64, array<3 x i64>, array<3 x i64>)> 
  %137 = llvm.insertvalue %44, %136[3, 0] : !llvm.struct<(ptr, ptr, i64, array<3 x i64>, array<3 x i64>)> 
  %138 = llvm.insertvalue %80, %137[3, 1] : !llvm.struct<(ptr, ptr, i64, array<3 x i64>, array<3 x i64>)> 
  %139 = llvm.insertvalue %57, %138[3, 2] : !llvm.struct<(ptr, ptr, i64, array<3 x i64>, array<3 x i64>)> 
  %140 = llvm.insertvalue %120, %139[4, 0] : !llvm.struct<(ptr, ptr, i64, array<3 x i64>, array<3 x i64>)> 
  %141 = llvm.insertvalue %57, %140[4, 1] : !llvm.struct<(ptr, ptr, i64, array<3 x i64>, array<3 x i64>)> 
  %142 = llvm.insertvalue %1, %141[4, 2] : !llvm.struct<(ptr, ptr, i64, array<3 x i64>, array<3 x i64>)> 
  %143 = builtin.unrealized_conversion_cast %142 : !llvm.struct<(ptr, ptr, i64, array<3 x i64>, array<3 x i64>)> to memref<?x?x16xi16>
  affine.for %arg1 = 0 to 0 {
    %224 = affine.apply #map(%arg1)[%c16]
    %225 = affine.apply #map1(%arg1)[%c16]
    %226 = affine.apply #map(%225)[%idx0]
    %227 = affine.apply #map1(%225)[%idx0]
    affine.store %20, %143[%227, %226, %224] : memref<?x?x16xi16>
  }
 llvm.return
}
```


trace:
```
LLVM ERROR: can't create Attribute 'mlir::ub::PoisonAttr' because storage uniquer isn't initialized: the dialect was likely not loaded, or the attribute wasn't added with addAttributes<...>() in the Dialect::initialize() method.
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 --convert-linalg-to-affine-loops a.mlir
 #0 0x000055f045d3b01f llvm::sys::PrintStackTrace(llvm::raw_ostream&, int) (/data/bin/llvm-project/build/bin/mlir-opt+0x160201f)
 #1 0x000055f045d38074 SignalHandler(int) Signals.cpp:0:0
 #2 0x00007f85a64cf420 __restore_rt (/lib/x86_64-linux-gnu/libpthread.so.0+0x14420)
 #3 0x00007f85a5fba00b raise (/lib/x86_64-linux-gnu/libc.so.6+0x4300b)
 #4 0x00007f85a5f99859 abort (/lib/x86_64-linux-gnu/libc.so.6+0x22859)
 #5 0x000055f045c4a2aa llvm::vfs::RedirectingFileSystem::create(llvm::ArrayRef<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char>>, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char>>>>, bool, llvm::vfs::FileSystem&) (.cold) VirtualFileSystem.cpp:0:0
 #6 0x000055f045def56b mlir::affine::AffineApplyOp::fold(mlir::affine::AffineApplyOpGenericAdaptor<llvm::ArrayRef<mlir::Attribute>>) (/data/bin/llvm-project/build/bin/mlir-opt+0x16b656b)
 #7 0x000055f045def64d mlir::LogicalResult llvm::detail::UniqueFunctionBase<mlir::LogicalResult, mlir::Operation*, llvm::ArrayRef<mlir::Attribute>, llvm::SmallVectorImpl<mlir::OpFoldResult>&>::CallImpl<mlir::Op<mlir::affine::AffineApplyOp, mlir::OpTrait::ZeroRegions, mlir::OpTrait::OneResult, mlir::OpTrait::OneTypedResult<mlir::IndexType>::Impl, mlir::OpTrait::ZeroSuccessors, mlir::OpTrait::VariadicOperands, mlir::OpTrait::OpInvariants, mlir::BytecodeOpInterface::Trait, mlir::ConditionallySpeculatable::Trait, mlir::OpTrait::AlwaysSpeculatableImplTrait, mlir::MemoryEffectOpInterface::Trait>::getFoldHookFn()::'lambda'(mlir::Operation*, llvm::ArrayRef<mlir::Attribute>, llvm::SmallVectorImpl<mlir::OpFoldResult>&) const>(void*, mlir::Operation*, llvm::ArrayRef<mlir::Attribute>, llvm::SmallVectorImpl<mlir::OpFoldResult>&) (/data/bin/llvm-project/build/bin/mlir-opt+0x16b664d)
 #8 0x000055f045e40a36 mlir::RegisteredOperationName::Model<mlir::affine::AffineApplyOp>::foldHook(mlir::Operation*, llvm::ArrayRef<mlir::Attribute>, llvm::SmallVectorImpl<mlir::OpFoldResult>&) (/data/bin/llvm-project/build/bin/mlir-opt+0x1707a36)
 #9 0x000055f048b38492 mlir::Operation::fold(llvm::ArrayRef<mlir::Attribute>, llvm::SmallVectorImpl<mlir::OpFoldResult>&) (/data/bin/llvm-project/build/bin/mlir-opt+0x43ff492)
#10 0x000055f048b387d8 mlir::Operation::fold(llvm::SmallVectorImpl<mlir::OpFoldResult>&) (/data/bin/llvm-project/build/bin/mlir-opt+0x43ff7d8)
#11 0x000055f0489dede2 mlir::OperationFolder::tryToFold(mlir::Operation*, bool*) (/data/bin/llvm-project/build/bin/mlir-opt+0x42a5de2)
#12 0x000055f0489e21dd (anonymous namespace)::GreedyPatternRewriteDriver::processWorklist() GreedyPatternRewriteDriver.cpp:0:0
#13 0x000055f0489e66cb mlir::applyPatternsAndFoldGreedily(mlir::Region&, mlir::FrozenRewritePatternSet const&, mlir::GreedyRewriteConfig, bool*) (/data/bin/llvm-project/build/bin/mlir-opt+0x42ad6cb)
#14 0x000055f04696e8bc void (anonymous namespace)::lowerLinalgToLoopsImpl<mlir::affine::AffineForOp>(mlir::Operation*) Loops.cpp:0:0
#15 0x000055f04892c8ee mlir::detail::OpToOpPassAdaptor::run(mlir::Pass*, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int) (/data/bin/llvm-project/build/bin/mlir-opt+0x41f38ee)
#16 0x000055f04892cdca 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+0x41f3dca)
#17 0x000055f04892d5f4 mlir::PassManager::run(mlir::Operation*) (/data/bin/llvm-project/build/bin/mlir-opt+0x41f45f4)
#18 0x000055f04891e363 performActions(llvm::raw_ostream&, std::shared_ptr<llvm::SourceMgr> const&, mlir::MLIRContext*, mlir::MlirOptMainConfig const&) MlirOptMain.cpp:0:0
#19 0x000055f04891f834 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
#20 0x000055f04891f9e4 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
#21 0x000055f048a1ecd4 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+0x42e5cd4)
#22 0x000055f048918247 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+0x41df247)
#23 0x000055f04891fb31 mlir::MlirOptMain(int, char**, llvm::StringRef, llvm::StringRef, mlir::DialectRegistry&) (/data/bin/llvm-project/build/bin/mlir-opt+0x41e6b31)
#24 0x000055f04891ff96 mlir::MlirOptMain(int, char**, llvm::StringRef, mlir::DialectRegistry&) (/data/bin/llvm-project/build/bin/mlir-opt+0x41e6f96)
#25 0x000055f045c725eb main (/data/bin/llvm-project/build/bin/mlir-opt+0x15395eb)
#26 0x00007f85a5f9b083 __libc_start_main (/lib/x86_64-linux-gnu/libc.so.6+0x24083)
#27 0x000055f045d0b37e _start (/data/bin/llvm-project/build/bin/mlir-opt+0x15d237e)
Aborted (core dumped)
```
</pre>
<img width="1px" height="1px" alt="" src="http://email.email.llvm.org/o/eJzcW91T47iW_2vMi4qULfnzgYcAnXu7ChYKuL1V-5KSreOgbUXySjJN5q_fkuU4dkiAvvQwPXdqmmD7fPzOh47OkQM1hq8kwFmQnAfJ5Qlt7aPSZ1QquVmr1lxf3J-Uim3OVtyiJ9CGKxmQOSppXmRxUTEcF0lYFVUS1XFVpTHOsgrCGEcsTxkOg_AyCOf-p9kYC2vH_a-ylbZFOJyF8SxFVw_3KMD5QlVUoIUyhga4GHNqaLRibQUM_eD20YkI0tD_vxZcn6rGotPTSskn0PZUcEnF6tSqU1rXXMKpUKoxiM4c7cA4VtA_Iv3lPg0ma9qggFwiL3C5pk1ALgKcs9BBTc5NGCSX6DQgX1B3F60VQ6Z7SL6MpUQ_J6YWSmnGn_ZkCfG0ntWtrFAQh2sqhKoCnPM0DnCxZY86osZqz-KoBxb3GQU4D3BC9Sp0Dl3DWkMdkAvyzAkO8AUKMDEN108zY5WmK1hWghoTkIt7f33e1jVoh4l8cXqD7NyrQijASRWl3lTN7eOsUtJYKi3q7s4RlwyeR9RhR9shdpEY6AOchyMGp8VdpHHPG-AkOs4avcbqePFx3jR-i5mzZw-7o9mZGI4VvGJYRKKwRxilg4ooHbHH8XF2nL4FMMleUf4md-6hly0XlstZKzVQwf8AtvTrzJWCZUWNHfmiF4is2hMWTRzRCq_AZ5nDeUB_hKMXLBHe8sTxYZ79iP4BWnWELxZEz0B2DCuwIGAN0jZW9-JcXeywuIXp5eRjUfgCHVt27tEkmhEehbOx2iou7Q7FBOMhFyY7bspYL7H3Bz7sjnTHUlEhJuXCy9wG_6360QvMjlmQvseCfMdt2rLD3eOPDuMvDpicbVlwfpCJjFKt1bDuJb3qKBK9QLZjcRIPMo2SjUtr1TZtSLQld0444kpC9lK1lQzqiReN1W1l_RbRZ9Q45y4Q1ZpuXM1Gz90tV4gP393tHb32eIzdgLZPVLTQx3IwnATJebhL_T8FFprgSo7jIkOykDhIzqNPwtUpTI_CCgdQSZCc4091VnYUVRwPsNIgOSfu6nMDmR_Flu9clm2xfVYwvdriKLZkqC4k32L71JjG4SsLc-c41y3Gnx7UOHqH4-Jwi-1Tgxrj444boEVbaJ8bU_ITrZQ35M8DZtWu1w_I4tn9i9Jn16rstgg_oMxq1W1oVK984EPHHY47fd_l9o1Nz0WbRmyQn3eGISPyE46fDILkck9AckxA9F4J6esQcNfqeH7Xrb4UkL0B4VUJPZsblcA3_kPOEc-Ch8YFDxssxvE2D9-OSZBt9XV5ocG2Wvaz5fbRwenW_7SaVnBsxL26-naNvtzd3dw5LBWVAc4sqjRQC2hureZla51h2XZQJvO29J-3ihslHVGAM1RCRVsDqB8aUSv5_7WgETdeJpfccp_9TpV9BMQ4FVBZ9IMaJPh3EBsklUVCUQbMeUrpjo4OOH7QXhplrD8UcL8OQN2UOpvNuqTPXU_LZSfh0mvyuHdIeqI12EfFZt4jt1df5vdfkGnLNbeIorJdIQ2N0tatgUdrG-PE4EWAFytuH9tyVql1gBcuOP3HaaPV_zp9eMGNacEEeIGoZIjLSrQMOkyVpuYRlbT63kWoV39vafUdsXbdDCELZ6j771arlaZrRPWqdcOK8dViwailAV6UXL5U70oPGx7-9JnJthEiIQqfwzAMk6QO44SRMozqLh29S83G9DmhubSdDQ9d2uF8R6Tpj6UyVgNdB34lcDeSFn60-jfMCPB5-BylIQ6jejg5cmijPbR5mMXonq8kFf-kkgnQburxyv1tM6sa5_Gw-zcIwr2grM4TmsZVHeMQLZcauvW-1LbHLngZ4MVzni7T2Lm0fT5dydY_aOyjBspmRs1CjziOcTjBS8ZqkrqkYVgiTbmBd8ivnOS0kxyTMCwnkuOp5KLIkwLRUr0L-UgyxnlSTCQnEx9XMcWUjjLiqe4z4g4Y11BZLlcLLuB-exgYkLkvM5Mcmbvd666rh8Yyf6-hrvLsrpfL6vk5ivxFSQ2vlsZqLlcBuageabdFDsTuxtJqyt1y8Y_9PjlQdGMxtUqPnu-RfI7GQW-plHCfB7w5ciFO-7Uzq5RbHAX6xrVtqdjRHE7qdLo6oE7SEu3Ku68DfTi63-duT7xp_K26U5a_g_4fIEHzas5o4209GOadoKGKj44WP1YZyjRJp-sh27c9jdnI9iu14hUVd2BaYUf-Z2ApF_73f3Ub26KVleVKnlMDEysmIlwUd49uGtDUMQV4Po3v2_6YkN-vqRDfoLJKf103YsJ10yyUYL16x9i1Et2jCyrEAfrJ5fHo75ny4DLcX_wPaHUHK66keYXqRsJhp0xpHjYNDPBHwL5KBs_u4WBOZ8rrqO7bqgJjlH4N2DeqOWW86sIj2as2NF_lkyN3u--E7HxjoVIMHIUFXfc9F5l77gnthZKMuzygQmzuG6haQS0txXGOCYi5-EE3ZsznPHGA6xrWSm--1DVU9giurS9XYF3a_FOp7wvp2yL_IMCZoOuS0cC1sflfn8y4QN1xtu_xnhRnPYDfAtqHC1Yas0nByicFC-KQknRkqlt2xoIGNhj9X3Tdh_haMRDvXN3bRKj7LPhdYv0xh2ZhRkk6cWgxdmhekjwu8MHcGe92fxeDY1LXcYF3r1ExicJ9gzOW_4TBf4EFGcsnFkza-bxgwOBgyBwY6G9avXlQi_1eZT-Rfac1_zhqTBMGU7_jKWrAUfciIx_esSNJ12Cabkzqq-0_NADb3FJrQcs7-KG5hUvNn7ZWNVq5_ey_lf4uuLH9_Hqc62UD6JCRPWRpWk0aQFcSemlmLpnzYqeCi83Em37P72e53e2FVn_AFkcv5x5sX7b3qT34nvpCyZqvfnFkWFqVk8jEY_vTIoW8rJDbSd4Kj1A_QF91E_ODunKD8osl8bLCLpT29fV4IhaoE3Y4Wsk0WrjKAUb-G7emN82DumluqTFD090N3q2cKHcEb26ao-omqdgYbq6ppCvQ4wmlld3XSNgvmeTjqCY5wCRU6b7xrKI_bfwtb0C4qEwj4EgHm9Jf7o0xk1P1VRqru4MbpV9InRKM6vEW-y3VIO1XWavtOvoFayOqCavoxOHZnsNZUsd7OLeWH8yt_cT-KMA4qeMJwHwKMAKSEtSArpVez7uRzLxx6jTM4eaRamDLxk6H03vV6gquV24uP1K0rq--3l0oaeHZvgjlteD6prHXlEtfzkYyCjR6eni5F3v21TmJUV_3-2_evNM8fwL7wjw_FWxFjegZ1LQVdslAgGtljvEM5xTvs3lM15_D-q5Vb_rnOz0P3VHZ7a72v-UuHO67q4D4HQN93Y_vS73Xyk0ZApx_njuPB7UY2vOKClHS6vuylhPYIz_9hulxOOzvXDIH59DfJio4F0quPtexr0B6e8FMm2kaQcXGC8Y0gtu5ZLd7FeevsO5vuEhfpdh1Cv7zw60tJBWb7I54b-iIchxnhxfaf1qZ-GinwWocZxNfkv2tpSTRUV_2LZ9_GzB_cU5y370uuIP6lduvO-LDBkJakmhiYLxvYF2kv8TAP92Sukgnluy9jMpwAiVaUy4_eH6UkCKByfCI0703amWYE7RcCl5WS2OptsuR3ve-XYvDnEy07L2nCEuSAfLyP2oSwyTbDVnzUmkL3eRbKQ3dm2fYHUEOXxc4YWeEFaSgJ3AWZWGYh2leFCePZykpSgZ1yCB2VpRhHMVRHtEkpwynWXHCz3CISRThOExxRIpZyOqY5iQP6xxwUpdBHMKacjHrvt6g9Oqke2l-lhGc5yeCliBM93cKGHeJhXGQXJ7os87osl2ZIA4FN9bsBFhuRfe3DR1Dcvn2C-_ubTywk1aLs3__JX8H-f8DAAD__7_tk3w">