<table border="1" cellspacing="0" cellpadding="8">
    <tr>
        <th>Issue</th>
        <td>
            <a href=https://github.com/llvm/llvm-project/issues/116355>116355</a>
        </td>
    </tr>

    <tr>
        <th>Summary</th>
        <td>
            [MLIR]`-pass-pipeline="builtin.module(func.func(tosa-to-linalg-named,tosa-to-linalg))"` triggers Assertion Failure `numExtraDims >= 0 && "cannot expand tensor to a lower rank"'
        </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/6548b6354d1d990e1c98736f5e7c3de876bedc8e
steps to reproduce:
```
mlir-opt test.mlir --pass-pipeline="builtin.module(func.func(tosa-to-linalg-named,tosa-to-linalg))"
```
test case:
```
module {
  func.func @main(%input5: tensor<4xi32>) -> () {
    %logical_input = "tosa.cast"(%input5) : (tensor<4xi32>) -> tensor<i1>
    return
  }
}
```
crash trace:
```
mlir-opt: /home/workdir/llvm-project-19/mlir/lib/Conversion/TosaToLinalg/TosaToLinalg.cpp:606: Value expandRank(PatternRewriter &, Location, Value, int64_t): Assertion `numExtraDims >= 0 && "cannot expand tensor to a lower rank"' 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 --pass-pipeline=builtin.module(func.func(tosa-to-linalg-named,tosa-to-linalg))
 #0 0x000056b92e84d3b8 llvm::sys::PrintStackTrace(llvm::raw_ostream&, int) (./mlir-opt+0x10723b8)
 #1 0x000056b92e84aede llvm::sys::RunSignalHandlers() (./mlir-opt+0x106fede)
 #2 0x000056b92e84ddc8 SignalHandler(int) Signals.cpp:0:0
 #3 0x000072e9cc4ee520 (/lib/x86_64-linux-gnu/libc.so.6+0x42520)
 #4 0x000072e9cc5429fc pthread_kill (/lib/x86_64-linux-gnu/libc.so.6+0x969fc)
 #5 0x000072e9cc4ee476 gsignal (/lib/x86_64-linux-gnu/libc.so.6+0x42476)
 #6 0x000072e9cc4d47f3 abort (/lib/x86_64-linux-gnu/libc.so.6+0x287f3)
 #7 0x000072e9cc4d471b (/lib/x86_64-linux-gnu/libc.so.6+0x2871b)
 #8 0x000072e9cc4e5e96 (/lib/x86_64-linux-gnu/libc.so.6+0x39e96)
 #9 0x000056b931480cbc elementwiseMatchAndRewriteHelper(mlir::Operation*, mlir::ValueRange, mlir::ConversionPatternRewriter&, mlir::TypeConverter const&) TosaToLinalg.cpp:0:0
#10 0x000056b9314959a6 mlir::OpConversionPattern<mlir::tosa::CastOp>::matchAndRewrite(mlir::Operation*, llvm::ArrayRef<mlir::Value>, mlir::ConversionPatternRewriter&) const (./mlir-opt+0x3cba9a6)
#11 0x000056b931b26521 mlir::ConversionPattern::matchAndRewrite(mlir::Operation*, mlir::PatternRewriter&) const (./mlir-opt+0x434b521)
#12 0x000056b933b3218a 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&)>)::$_0>(long) PatternApplicator.cpp:0:0
#13 0x000056b933b2edcf mlir::PatternApplicator::matchAndRewrite(mlir::Operation*, mlir::PatternRewriter&, llvm::function_ref<bool (mlir::Pattern const&)>, llvm::function_ref<void (mlir::Pattern const&)>, llvm::function_ref<llvm::LogicalResult (mlir::Pattern const&)>) (./mlir-opt+0x6353dcf)
#14 0x000056b931b2751d (anonymous namespace)::OperationLegalizer::legalize(mlir::Operation*, mlir::ConversionPatternRewriter&) DialectConversion.cpp:0:0
#15 0x000056b931b265b7 mlir::OperationConverter::convert(mlir::ConversionPatternRewriter&, mlir::Operation*) (./mlir-opt+0x434b5b7)
#16 0x000056b931b2775f mlir::OperationConverter::convertOperations(llvm::ArrayRef<mlir::Operation*>) (./mlir-opt+0x434c75f)
#17 0x000056b931b2f17e mlir::applyFullConversion(mlir::Operation*, mlir::ConversionTarget const&, mlir::FrozenRewritePatternSet const&, mlir::ConversionConfig) (./mlir-opt+0x435417e)
#18 0x000056b93146c823 (anonymous namespace)::TosaToLinalg::runOnOperation() TosaToLinalgPass.cpp:0:0
#19 0x000056b931ac96df mlir::detail::OpToOpPassAdaptor::run(mlir::Pass*, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int) (./mlir-opt+0x42ee6df)
#20 0x000056b931ac9ec2 mlir::detail::OpToOpPassAdaptor::runPipeline(mlir::OpPassManager&, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int, mlir::PassInstrumentor*, mlir::PassInstrumentation::PipelineParentInfo const*) (./mlir-opt+0x42eeec2)
#21 0x000056b931acf5de auto void mlir::parallelForEach<__gnu_cxx::__normal_iterator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo*, std::vector<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo, std::allocator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo>>>, mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::$_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)::$_0&&)::'lambda'(__gnu_cxx::__normal_iterator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo*, std::vector<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo, std::allocator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo>>>&&)::operator()<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo&>(__gnu_cxx::__normal_iterator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo*, std::vector<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo, std::allocator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo>>>&&) const Pass.cpp:0:0
#22 0x000056b931acb6cb mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool) (./mlir-opt+0x42f06cb)
#23 0x000056b931ac983c mlir::detail::OpToOpPassAdaptor::run(mlir::Pass*, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int) (./mlir-opt+0x42ee83c)
#24 0x000056b931ac9ec2 mlir::detail::OpToOpPassAdaptor::runPipeline(mlir::OpPassManager&, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int, mlir::PassInstrumentor*, mlir::PassInstrumentation::PipelineParentInfo const*) (./mlir-opt+0x42eeec2)
#25 0x000056b931acc66e mlir::PassManager::run(mlir::Operation*) (./mlir-opt+0x42f166e)
#26 0x000056b931ac5192 performActions(llvm::raw_ostream&, std::shared_ptr<llvm::SourceMgr> const&, mlir::MLIRContext*, mlir::MlirOptMainConfig const&) MlirOptMain.cpp:0:0
#27 0x000056b931ac4dfb llvm::LogicalResult llvm::function_ref<llvm::LogicalResult (std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, llvm::raw_ostream&)>::callback_fn<mlir::MlirOptMain(llvm::raw_ostream&, std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, mlir::DialectRegistry&, mlir::MlirOptMainConfig const&)::$_0>(long, std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, llvm::raw_ostream&) MlirOptMain.cpp:0:0
#28 0x000056b931b6eae5 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+0x4393ae5)
#29 0x000056b931abfff2 mlir::MlirOptMain(llvm::raw_ostream&, std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, mlir::DialectRegistry&, mlir::MlirOptMainConfig const&) (./mlir-opt+0x42e4ff2)
#30 0x000056b931ac02a3 mlir::MlirOptMain(int, char**, llvm::StringRef, llvm::StringRef, mlir::DialectRegistry&) (./mlir-opt+0x42e52a3)
#31 0x000056b931ac04b2 mlir::MlirOptMain(int, char**, llvm::StringRef, mlir::DialectRegistry&) (./mlir-opt+0x42e54b2)
#32 0x000056b92e82c5d7 main (./mlir-opt+0x10515d7)
#33 0x000072e9cc4d5d90 (/lib/x86_64-linux-gnu/libc.so.6+0x29d90)
#34 0x000072e9cc4d5e40 __libc_start_main (/lib/x86_64-linux-gnu/libc.so.6+0x29e40)
#35 0x000056b92e82c145 _start (./mlir-opt+0x1051145)
Aborted (core dumped)
```
</pre>
<img width="1px" height="1px" alt="" src="http://email.email.llvm.org/o/eJzsWt1u27gSfhrmhoghUf8XuXCTGFsgQYM0OLcGRY0cnlKkDkm1yT79ASXFFmU7ibvdFrtokSaWSM18880PRzSpMXwjAS5Q8gElV2e0s49KXzxxQ-UmOCtV9XzxAMZiJTFTTcMtipb40drWoGiJyAqR1Ybbx65cMNUgshLia__n5mtz3mr1X2AWkdX4KFmlSZyXaZTEVVgVRQAhK_IsSusEMhZVkGdpCRXLAQVXKFgaC63BVmENrVZVx8Ap7YdQGow__WUjuD5XrcUWjF24K3x-3lJjzlveguASUHSFCCk7LiyXi0ZVnQBE8rqTbOF-IZJbZei5VeeCSyo255I2UCFy6d9GpOh_yEEcTj1m1BwH2ivGKPswXGO8RYBRHDSUS0RyRBIu284mjm0L0iiNosv4iUcERdeIFPgcRde4n1lMhWGMSCLUhjMq1r0IjKIrjAhxViwYNdZBn2pwAqKlk3Vc0XaEh-72VpkG22n5co2yq9Hm7QffeKapecRW07cdOUBaPaoGEFl9U_pLxfUYXy-BdR4WiKzcE26Al4isLpX8CtpwJRFZPShDH9TN6DbvcsHaFkXLNEidov9Q0QGGp5bK6p7KL4jkd9Ra0PIevmluQWNEUkQu8Y1i1PbSL4en3AcubRqvrQuLaImXxoB2czBKA9k1109W0yveGOyoi65wMAhLnVcYlVLZUfVIswt4ioX6BhrrHg1BJMM15QKqxUDT3c318vM1Nl3ZcIspLruNSxKlrXv6HfkpvPzkxnRgEFlhB4NLJroKsH0EPLispOxL77ZR_WdL2RdcdU279WOwwP2_O602mjaY6k3XgLQOB16MfupT9JBbX0vbH5azQ5giEgU4eAqCIEjSsiCQx1VU5rhnJlqiaGmezfDhTnNpe1sf-pgl-W6Spt_WylgNtBljg0vbJxPJp-Yi8iF4CoOMRGXugQhnIChUcAjEfSc_842k4g8qKwHavGT9QT1pDRV4esjc2Irl2JOISD5iH26bMTuC_v9WUDQKyggUjMUACQmGEjQm31OertPYcd49nW9kNwywhVGLtIcXk4QEHrjYk5nEpKgZbu2jBlqtv3AhTlNQpEXNPAXJHHScpXhjejtPBR9nqSc79WVXcVZHmJYuCU-STPKsjjzJ2Z7ksDxZZlh6MvMZEwkU6WkyowIKn4FiEltRGOcBKxkGAS7xv3EDt9Syx6WsxjL6B4i2D7e-ZvfR_akFPVbUpUui3UhfXu-p3IB_f1fiZzV6TMPdzIfnFobZroIzJd3i5wzAB5aCSbC75Ax8y4qkoCmewt6DgaLL3birPyNcauynti_97rLxGXmVi10xWGpNn--h9nQM649bpd9PTzHQcLB4RKykBd052NEQejSUJE1I-Jqy043cjZyKN47iMiGhh3da7KKojEiYU_xV8WpCpls5HIC17gntR4eauvUSo0K4NW9d-24dIS7bVnBGrdI_2t7L4zhLpfqKtSdgGtljOLxp7F8Sshu4GTrNezCdsO-TWwzDiMTroL-RCyXdCo33yD2cmZHvYgIVq_dZ_e2iv-Cig-mWRklUsdpLt3hWHrIk7LFTqeRzozqDXUNm2r55KmZs38CGCv4njGjEePlO17xV5644FcDsbtrhaEr2ClyZ4QP6t-vIWCCGSw_r-xcm36rDdPfVrcw8utM53VlSvx_sdth4jezBtcVDeDwm4ihmWeLHRDYDWYcZTEDSthXPq06I6avaiR5_oHoDdhK302krrf6EF-5HT3w-Onsn9FLJmm-OW5rEYQaepbnfI6QsJ9Fb0e-9kw4vEp38JCdW5_MG5Y6aAx25A-C3X5QVaTWNhwos5eKF1gf1qXWilhVtt2VRd3JWEozZI_64S5aSimfDzS2VdOMC_RK7Guj-drLfWapeey2KCUBaeeFDgrlNwMjJNt29vD36keWmbqG-mpPfZaS_chjzURqr-5dgpQ8sLdMJg-ZhYMR-RzVI-1HW6iV0j9cKAgCMeDyGMx7rpAJMO6uGdmgHpKWaCgFipfQ1ZY8oulyvN7Jbs6enYcJ6LZVuqFi7WjasqJenOmQS4UvzLNnHphWI5AOP24Xh7taZO1JlbDXc_wrsZyidaKRCKPYzLHX95vVeC__jFE26rJ3425uP95dKWniyI9W_Hf4rHP6b9X9XmvWbupN7maBNWVFEMkTy387--c72_KHakejxTf9vtjwdqu5vt_8yt487R0e7Z0JmHVKZsvIHl4cj3VodpKz0urVo3vXmEfundfJ5xDyb4t-d_A_p5JMZjyxNYab-xaCDkfCu3QZSh2nqvd6SdKY3CQuCW9C10s2S7W8k7H8jtq0C5pFqqNat1d7e1GfVaQa3G42i6yPv5_vN6mRMcP2ptbeUjy_v3h7_ZPRw_mcz--KqLvGxjbPv2Wnbmt9J_r8O9sy_hUbp5w9dXQ-xuJ1fQU07YdcVCLBw_JltU3PcCW_vaU94eq87_3Z7dujGbbx72HBj9fN-fLwWA3svQcNW88-05BXPvB2h_gZTmQKFZGK7aQW3S1ndacXAmBe4vyTu_oFZ8eqM6dhnq7nc3EN99PaxPcMiopB4RXW2ZVfWdU0Oh_O_LRmPrXdxXXvrXTTfAQwIjY5SNC7X7JEOC_PyVNe9Zd9R3AmhkYd7vuMWxOVx156C-3sBxqVP7OwkCGFJleGGcnnkLEkSJpX3BcT8CEiVVMWJR0BIURWBJzOey4Q4wOu1e2xtLNV2_QLxFC0Q-1qSue1hnOBB_lHrw3iXu8tSaQv9l1tMaejPPkG1U_Fyiu2suoiqIiroGVyEWRSmaZjlxdnjRQ45lEVVQFlmBSkJVHUQpElRASFpCukZvyABicMwTIIiKOJikdYsS1OIi7IiQZRRFAfQUC4WLkwWSm_O-mNbF2GYRklyJmgJwvQHOQkZDsURlFyd6Yv-sFfZbQyKA8GNNTsJllvRH_50fRZKrlAa_N3HJtMAW803G9BmclZuRbnoNPzYM3NnnRYX338YbiT26wX5fwAAAP__NSFJCA">