<table border="1" cellspacing="0" cellpadding="8">
    <tr>
        <th>Issue</th>
        <td>
            <a href=https://github.com/llvm/llvm-project/issues/131085>131085</a>
        </td>
    </tr>

    <tr>
        <th>Summary</th>
        <td>
            [MLIR] Assertion failure in 'tosa-to-linalg': `isa<To>(Val) && "cast<Ty>() argument of incompatible type!"'
        </td>
    </tr>

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

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

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

<pre>
    Test commit: https://github.com/llvm/llvm-project/commit/9e91725fd4d4ee30e98ab2682f93b423590a4ade

Steps to reproduce:
```shell
mlir-opt test.mlir --pass-pipeline="builtin.module(func.func(tosa-to-linalg))"
```
Test case:
```mlir
  func.func @main(%arg0: tensor<1x14x14x3xf32>)  {
    %0 = tosa.reduce_sum %arg0 {axis = 0 : i32} : (tensor<1x14x14x3xf32>) -> tensor<*xf32>
    return
  }
```
Crash trace:
```console
mlir-opt: /home/workdir/llvm-project/llvm/include/llvm/Support/Casting.h:572: decltype(auto) llvm::cast(From &) [To = mlir::RankedTensorType, From = mlir::Type]: Assertion `isa<To>(Val) && "cast<Ty>() argument of incompatible type!"' failed.
PLEASE submit a bug report to https://github.com/llvm/llvm-project/issues/ and include the crash backtrace.
Stack dump:
0.      Program arguments: /home/workdir/llvm-project/build/bin/./mlir-opt 7.mlir --pass-pipeline=builtin.module(func.func(tosa-to-linalg))
 #0 0x000055a62f38b228 llvm::sys::PrintStackTrace(llvm::raw_ostream&, int) (/home/workdir/llvm-project/build/bin/./mlir-opt+0x12d1228)
 #1 0x000055a62f388d4e llvm::sys::RunSignalHandlers() (/home/workdir/llvm-project/build/bin/./mlir-opt+0x12ced4e)
 #2 0x000055a62f38bc31 SignalHandler(int, siginfo_t*, void*) Signals.cpp:0:0
 #3 0x00007f938d064520 (/lib/x86_64-linux-gnu/libc.so.6+0x42520)
 #4 0x00007f938d0b89fc pthread_kill (/lib/x86_64-linux-gnu/libc.so.6+0x969fc)
 #5 0x00007f938d064476 gsignal (/lib/x86_64-linux-gnu/libc.so.6+0x42476)
 #6 0x00007f938d04a7f3 abort (/lib/x86_64-linux-gnu/libc.so.6+0x287f3)
 #7 0x00007f938d04a71b (/lib/x86_64-linux-gnu/libc.so.6+0x2871b)
 #8 0x00007f938d05be96 (/lib/x86_64-linux-gnu/libc.so.6+0x39e96)
 #9 0x000055a631abb887 (/home/workdir/llvm-project/build/bin/./mlir-opt+0x3a01887)
#10 0x000055a631ad4bf2 mlir::tensor::ExpandShapeOp::build(mlir::OpBuilder&, mlir::OperationState&, mlir::Type, mlir::Value, llvm::ArrayRef<llvm::SmallVector<mlir::AffineExpr, 2u>>) (/home/workdir/llvm-project/build/bin/./mlir-opt+0x3a1abf2)
#11 0x000055a6323877cb mlir::tensor::ExpandShapeOp mlir::OpBuilder::create<mlir::tensor::ExpandShapeOp, mlir::ShapedType&, mlir::OpResult, llvm::SmallVector<llvm::SmallVector<mlir::AffineExpr, 2u>, 4u>&>(mlir::Location, mlir::ShapedType&, mlir::OpResult&&, llvm::SmallVector<llvm::SmallVector<mlir::AffineExpr, 2u>, 4u>&) (/home/workdir/llvm-project/build/bin/./mlir-opt+0x42cd7cb)
#12 0x000055a63238cc28 (anonymous namespace)::ReduceConverter<mlir::tosa::ReduceSumOp>::matchAndRewrite(mlir::tosa::ReduceSumOp, mlir::PatternRewriter&) const TosaToLinalg.cpp:0:0
#13 0x000055a634c2ed52 void llvm::function_ref<void ()>::callback_fn<mlir::PatternApplicator::matchAndRewrite(mlir::Operation*, mlir::PatternRewriter&, llvm::function_ref<bool (mlir::Pattern const&)>, llvm::function_ref<void (mlir::Pattern const&)>, llvm::function_ref<llvm::LogicalResult (mlir::Pattern const&)>)::$_0>(long) PatternApplicator.cpp:0:0
#14 0x000055a634c2ba4f mlir::PatternApplicator::matchAndRewrite(mlir::Operation*, mlir::PatternRewriter&, llvm::function_ref<bool (mlir::Pattern const&)>, llvm::function_ref<void (mlir::Pattern const&)>, llvm::function_ref<llvm::LogicalResult (mlir::Pattern const&)>) (/home/workdir/llvm-project/build/bin/./mlir-opt+0x6b71a4f)
#15 0x000055a6324e3a1d (anonymous namespace)::OperationLegalizer::legalize(mlir::Operation*, mlir::ConversionPatternRewriter&) DialectConversion.cpp:0:0
#16 0x000055a6324e2ab7 mlir::OperationConverter::convert(mlir::ConversionPatternRewriter&, mlir::Operation*) (/home/workdir/llvm-project/build/bin/./mlir-opt+0x4428ab7)
#17 0x000055a6324e3c5f mlir::OperationConverter::convertOperations(llvm::ArrayRef<mlir::Operation*>) (/home/workdir/llvm-project/build/bin/./mlir-opt+0x4429c5f)
#18 0x000055a6324e9fce mlir::applyFullConversion(mlir::Operation*, mlir::ConversionTarget const&, mlir::FrozenRewritePatternSet const&, mlir::ConversionConfig) (/home/workdir/llvm-project/build/bin/./mlir-opt+0x442ffce)
#19 0x000055a63235c4b0 (anonymous namespace)::TosaToLinalg::runOnOperation() TosaToLinalgPass.cpp:0:0
#20 0x000055a632481cd3 mlir::detail::OpToOpPassAdaptor::run(mlir::Pass*, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int) (/home/workdir/llvm-project/build/bin/./mlir-opt+0x43c7cd3)
#21 0x000055a632482572 mlir::detail::OpToOpPassAdaptor::runPipeline(mlir::OpPassManager&, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int, mlir::PassInstrumentor*, mlir::PassInstrumentation::PipelineParentInfo const*) (/home/workdir/llvm-project/build/bin/./mlir-opt+0x43c8572)
#22 0x000055a6324889be 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)::$_0&&)::'lambda'(__gnu_cxx::__normal_iterator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo*, std::vector<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo, std::allocator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo>>>&&)::operator()<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo&>(__gnu_cxx::__normal_iterator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo*, std::vector<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo, std::allocator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo>>>&&) const Pass.cpp:0:0
#23 0x000055a632483dcb mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool) (/home/workdir/llvm-project/build/bin/./mlir-opt+0x43c9dcb)
#24 0x000055a632481e2c mlir::detail::OpToOpPassAdaptor::run(mlir::Pass*, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int) (/home/workdir/llvm-project/build/bin/./mlir-opt+0x43c7e2c)
#25 0x000055a632482572 mlir::detail::OpToOpPassAdaptor::runPipeline(mlir::OpPassManager&, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int, mlir::PassInstrumentor*, mlir::PassInstrumentation::PipelineParentInfo const*) (/home/workdir/llvm-project/build/bin/./mlir-opt+0x43c8572)
#26 0x000055a632484d4e mlir::PassManager::run(mlir::Operation*) (/home/workdir/llvm-project/build/bin/./mlir-opt+0x43cad4e)
#27 0x000055a63247d2cb performActions(llvm::raw_ostream&, std::shared_ptr<llvm::SourceMgr> const&, mlir::MLIRContext*, mlir::MlirOptMainConfig const&) MlirOptMain.cpp:0:0
#28 0x000055a63247cf23 llvm::LogicalResult llvm::function_ref<llvm::LogicalResult (std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, llvm::raw_ostream&)>::callback_fn<mlir::MlirOptMain(llvm::raw_ostream&, std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, mlir::DialectRegistry&, mlir::MlirOptMainConfig const&)::$_0>(long, std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, llvm::raw_ostream&) MlirOptMain.cpp:0:0
#29 0x000055a632528475 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) (/home/workdir/llvm-project/build/bin/./mlir-opt+0x446e475)
#30 0x000055a632476b82 mlir::MlirOptMain(llvm::raw_ostream&, std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, mlir::DialectRegistry&, mlir::MlirOptMainConfig const&) (/home/workdir/llvm-project/build/bin/./mlir-opt+0x43bcb82)
#31 0x000055a632476e33 mlir::MlirOptMain(int, char**, llvm::StringRef, llvm::StringRef, mlir::DialectRegistry&) (/home/workdir/llvm-project/build/bin/./mlir-opt+0x43bce33)
#32 0x000055a632477042 mlir::MlirOptMain(int, char**, llvm::StringRef, mlir::DialectRegistry&) (/home/workdir/llvm-project/build/bin/./mlir-opt+0x43bd042)
#33 0x000055a62f36a9af main (/home/workdir/llvm-project/build/bin/./mlir-opt+0x12b09af)
#34 0x00007f938d04bd90 (/lib/x86_64-linux-gnu/libc.so.6+0x29d90)
#35 0x00007f938d04be40 __libc_start_main (/lib/x86_64-linux-gnu/libc.so.6+0x29e40)
#36 0x000055a62f36a505 _start (/home/workdir/llvm-project/build/bin/./mlir-opt+0x12b0505)
```
</pre>
<img width="1" height="1" alt="" src="http://email.email.llvm.org/o/eJzsWk1v27rS_jXMhoghkfpcZKE6Md4CLRokwdkaFEnZfEuRuiTVJufXX1CSLVmO06THaXEPCqS1LZLDmWc-OSKxVmwU51cg_gDi6wvSuq02V_Y754RdlJo9XT1w6yDVdS0cwAXcOtdYgAuAVgCtNsJt23JBdQ3QSspvu4_Lxuj_59QBtBqWolXO8zBFccUiFnGOA55npERJhqoclxHCcR6QiDAOggIExb3jjYVOQ8Mbo1lLud80KEAS9H92y6UEQVFLYS5146Dj1i38L3h52RBrLxvRcCkUB_gaIFS2QjqhFrVmreQAZVWr6ML_B1DmtCWXTl9KoYjcAJR3f2i6HwiKHgpi56z4TUFQQLgnCUEU1EQogDKAYmI2gcfOcWW1AXgZPoaR_8OPFUYA3wCUQwjSDx0RCAGKAwjwNfRsLQz30q9tW8OBlp9KHoXt5viZBRQYgfS6--rFeWmjS4BvRlYAKnZj_eaGu9ao7gdIr2cILA2xW-gMOVIH1cpqyScK6XlZbXXNAVp91-YrE-bYPgarEYrKlvHxwX3bNNr4GUtinVCbxRbgIk6Rp8s4le6p8WokrdNerG4ZLgAuKLEOoGxltEcs8YMg_vCgO7g6XXXT7oj6ytlDB8RDR2sJ-zUH07qh-NrvWljLjRNaQZAEwhKAlw-6QzX7i8huH79dAgFCHRN4-fDUj_tBYjZtzZWDuoJCUV03xIlScthLEnqDQymsiJCcLUBQ3H66Ke5voG3LWjhIYNluvDto47xjvNkThbUttwCtIFEMDoBDt-WQdmotCf3aqXbR-R-hXyFr66ZXdLAAQX5r9MaQei-JfaWOve8x_-k9YrUAaLX32vSUy77dXwPPCw5g8BgEQRDHJEEVzkqEsolx2Cfbf7k1QrlOyofOnFE2TjLk-1pbZzipO40uoVCu12_2j8QF6EPwGCIWos4kBpbDGcsZi_hzLN-16l5sFJH_RxST3NjBsM7EFeUs4iNXaA4kxSE82B-grMNlCa3YCFXptQOo8L-_acG6r_mwwi5o4y0p6P71G-Bhg7TKccaCJIpRMMgiRQnQ6jFL1knkldw-Xm5U2w_QhdWLpOM5QjEKRo6jQ4JlllcUNm5rOGHrr0LKt1HPk7yiI_V4zm6UJnBjO_HeynaUJiPh5JBwRNIKQ1J6N38TWZSlFR7Jpkdkw_LNBMNyJJgdEoxLnidvI4hznk8EzycWhkNSllmWnseYMQnCLEv7rbyHBYdbsais0CTI79Kh_37z2BDF7rek4V-a_tGwWzYu-NJ88M-8D3TxYTrCDfFJ4t4Rx4-Gd5lmfPIXkW33aPT4whjydMcrgJfjw_uaSPkXp67L2-P6oqqE4jePjfFEUOsTTp_pzwRlSMoKjVBOoxVGOEtTWr4GSvgcen3CNtxDNRXqtEIOsOsesh7TIz3ccdtKd4jsIYg_By5awqj_kvTJfZz-SdNO9z_BZTKMvR-v57KICFGW0nK0CDSzCEpR5rciSqunWrcWKlJz23RpNh9yWVfVLrX6xo3jh4L47D6ddd_W3hNv-mc1cXRbKHbHvxvhPSz70coDxG-Jc9yoYbUZgPHlq4MP2pIH_akrKmYJy8uJp3JGFHEWoy7VTZTmCxRvAWvTuW832qfpvQCUSOlrrXWlDsQeOCuaRgpK3M78X5J3H2yGvPuymMvTfJZad0nsiECPTI_SYFA_FPYfERkHPumNoET2DvI6uoNxARStg943pVa-PoRH4D6j32im35JE1TGkf_TzD_RzngiUlGlIomqMQPFBBIo4JiH7UQTa6-YT3xAp_t5lIzn8fKUi-xBmhVbPR5ZrQSSnbpz2jOElM_YRKdPnSopJuOwCSf_zgNGX2Xm2UBkK9fPkhghlpJwUXulcMzSuXi_aftgenM8m9dEJec5obFGEchpPjC2biZRXlE9EIk0jn1atlKMq3mxKD8RsuJu4z3Tayui_-U6vg5bvT84eiS61qsTmnLhUFeUjLvlhGRDTqAx-5ITTjDucvVv1RU0w6k6402m3xM5Pk_60GhxqJQspwxMYGHdEyJ0GHvSXxtMpGGn2gdy0ahbErD3S0WntFYrIJyvsZ6LIhnc1mI_a_rNVXZuVnbWNEGGaUob3-KNwhgCKU_RmBG53HZhDk_VT94K9GEh-CpLDzGjtR2Wd6VpM2jyTOqcT-p37gYH3W2K4ch9VpXc-ccYAh2kWp-NxCKEZ6lleckhap_vKcGS7IYZIyeVKmxtCtwAv1-uNatf08bGfsF4rbWoi1z5ck3l1_zr1TVynsE-KfqwbCVDWo75PfLefPTgDsNax_vm34yPFe2w62ZFIqemvkLQ_EveVzXtsNCk4R_KfP328W2rl-OOuLfZH4b9D4X9Q_3e52dAq2T9LJalLRgBKAcr-KPvXK_tAH7oZgB6aHu8s-dCC-6P236b2oXd2oizHs_IIs4Nu8TkYPFthl7NJVxNF8wMFR_Rff6DgiI4IxH8OFL_hQDFrBmURi_iM2Z34z1rZ-_R1MCX7t8Oey1lfJ2WIlrDhptKmLuhxy-b4lfo-dNktMZytGzd7zaFbQ_nnjQH45kRv47jCnoxJYb407jMRQ-Nj2oyEk9Fngtasw5PSCmF4qvH5M53SveytEv9p-ZHsn3mtzdOHtqp6I9_PZ7wirXRrxiXvXpmdWLMvw05r4McvJCYgvVaX7y7PyN3QWL3jG2GdeTo2jpcM4OjY1r8n-JWSvKCZH5jnYaMtRlmUxhPBbSOFKxS7NZpya3e8_haj-x90iRdnHLyfdUaozR2vTj4-W6c14VEa74MvnvU606TM0POW_2_z23Nls5KW2ZhzcTgHlGN8EtChwKBb0pcSxVvN4kdonFFKjscGMZ61KtM0iE6bzVuk_FXisCCaKA0fXlBLSE4qWBOhznUhrgxyMr73mV8vi0qWv_G-GspZHowE4zlBHgVwvfZr1tYR49YTaV69BY8mWyRzjOIghj3x86EUB7vYtLsNfMGuMMtxTi74VZhGYRYHaZ5cbK9wRHJCaEijOGVxXrGcZihHVRYiHvA0uhBXKEBxgEMcpCjBySLGFWEpZTmNSBZUFYgCXhMhF57PhTabi-5e61WIwyCLLyQpubS7--zmqpOmbDcWRIEU1tlxnRNOdjfffRkJ4uvJ_d6KCNkaDjv00_lt07S79vp-V4AvWiOvfv5674DEtyv03wAAAP__s_3QPQ">