<table border="1" cellspacing="0" cellpadding="8">
    <tr>
        <th>Issue</th>
        <td>
            <a href=https://github.com/llvm/llvm-project/issues/116341>116341</a>
        </td>
    </tr>

    <tr>
        <th>Summary</th>
        <td>
            [MLIR]-tosa-optional-decompositions triggers Assertion Failure `isa<To>(Val) && "cast<Ty>() argument of incompatible type!"'
        </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 commir: https://github.com/llvm/llvm-project/commit/6548b6354d1d990e1c98736f5e7c3de876bedc8e
steps to reproduce:
```
mlir-opt test.mlir -tosa-optional-decompositions
```
test case:
```
module {
 func.func @test_build_mult_and_shift(%arg0: tensor<1x32x32x8x!quant.uniform<i8:f32, 0.015684768557548523>>, %arg1: tensor<16x1x1x8x!quant.uniform<i8<-127:127>:f32, 0.015680249780416489>>, %arg2: tensor<16xi32>) -> tensor<1x32x32x16x!quant.uniform<i8:f32, 0.078431375324726104>> {
    %0 = "tosa.conv2d"(%arg0, %arg1, %arg2) {pad = array<i64: 1, 1, 2, 2>, dilation = array<i64: 2, 1>, stride = array<i64: 1, 1>, quantization_info = #tosa.conv_quant<input_zp = -1, weight_zp = 0>} : (tensor<1x32x32x8x!quant.uniform<i8:f32, 0.015684768557548523>>, tensor<16x1x1x8x!quant.uniform<i8<-127:127>:f32, 0.015680249780416489>>, tensor<16xi32>) -> tensor<1x32x32x16x!quant.uniform<i8:f32, 0.078431375324726104>>
    return %0 : tensor<1x32x32x16x!quant.uniform<i8:f32, 0.078431375324726104>>
 }
}
```
crash trace:
```
mlir-opt: /home/workdir/llvm-project-19/llvm/include/llvm/Support/Casting.h:572: decltype(auto) llvm::cast(From &) [To = mlir::IntegerType, 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: ./mlir-opt /home/workdir/test.mlir -tosa-optional-decompositions
 #0 0x00005a1ed4fa23b8 llvm::sys::PrintStackTrace(llvm::raw_ostream&, int) (./mlir-opt+0x10723b8)
 #1 0x00005a1ed4f9fede llvm::sys::RunSignalHandlers() (./mlir-opt+0x106fede)
 #2 0x00005a1ed4fa2dc8 SignalHandler(int) Signals.cpp:0:0
 #3 0x00007441f106d520 (/lib/x86_64-linux-gnu/libc.so.6+0x42520)
 #4 0x00007441f10c19fc pthread_kill (/lib/x86_64-linux-gnu/libc.so.6+0x969fc)
 #5 0x00007441f106d476 gsignal (/lib/x86_64-linux-gnu/libc.so.6+0x42476)
 #6 0x00007441f10537f3 abort (/lib/x86_64-linux-gnu/libc.so.6+0x287f3)
 #7 0x00007441f105371b (/lib/x86_64-linux-gnu/libc.so.6+0x2871b)
 #8 0x00007441f1064e96 (/lib/x86_64-linux-gnu/libc.so.6+0x39e96)
 #9 0x00005a1ed753916c (./mlir-opt+0x360916c)
#10 0x00005a1ed758a914 (anonymous namespace)::Conv2DIsFullyConnected::matchAndRewrite(mlir::tosa::Conv2DOp, mlir::PatternRewriter&) const TosaDecomposeConv2D.cpp:0:0
#11 0x00005a1eda28718a 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&)>)::$_0>(long) PatternApplicator.cpp:0:0
#12 0x00005a1eda283dcf mlir::PatternApplicator::matchAndRewrite(mlir::Operation*, mlir::PatternRewriter&, llvm::function_ref<bool (mlir::Pattern const&)>, llvm::function_ref<void (mlir::Pattern const&)>, llvm::function_ref<llvm::LogicalResult (mlir::Pattern const&)>) (./mlir-opt+0x6353dcf)
#13 0x00005a1ed82976de (anonymous namespace)::GreedyPatternRewriteDriver::processWorklist() GreedyPatternRewriteDriver.cpp:0:0
#14 0x00005a1ed829417b mlir::applyPatternsAndFoldGreedily(mlir::Region&, mlir::FrozenRewritePatternSet const&, mlir::GreedyRewriteConfig, bool*) (./mlir-opt+0x436417b)
#15 0x00005a1ed756c1cb (anonymous namespace)::TosaOptionalDecompositions::runOnOperation() TosaOptionalDecompositions.cpp:0:0
#16 0x00005a1ed821e6df mlir::detail::OpToOpPassAdaptor::run(mlir::Pass*, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int) (./mlir-opt+0x42ee6df)
#17 0x00005a1ed821eec2 mlir::detail::OpToOpPassAdaptor::runPipeline(mlir::OpPassManager&, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int, mlir::PassInstrumentor*, mlir::PassInstrumentation::PipelineParentInfo const*) (./mlir-opt+0x42eeec2)
#18 0x00005a1ed82245de auto void mlir::parallelForEach<__gnu_cxx::__normal_iterator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo*, std::vector<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo, std::allocator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo>>>, mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::$_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)::$_0&&)::'lambda'(__gnu_cxx::__normal_iterator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo*, std::vector<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo, std::allocator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo>>>&&)::operator()<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo&>(__gnu_cxx::__normal_iterator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo*, std::vector<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo, std::allocator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo>>>&&) const Pass.cpp:0:0
#19 0x00005a1ed82206cb mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool) (./mlir-opt+0x42f06cb)
#20 0x00005a1ed821e83c mlir::detail::OpToOpPassAdaptor::run(mlir::Pass*, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int) (./mlir-opt+0x42ee83c)
#21 0x00005a1ed821eec2 mlir::detail::OpToOpPassAdaptor::runPipeline(mlir::OpPassManager&, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int, mlir::PassInstrumentor*, mlir::PassInstrumentation::PipelineParentInfo const*) (./mlir-opt+0x42eeec2)
#22 0x00005a1ed822166e mlir::PassManager::run(mlir::Operation*) (./mlir-opt+0x42f166e)
#23 0x00005a1ed821a192 performActions(llvm::raw_ostream&, std::shared_ptr<llvm::SourceMgr> const&, mlir::MLIRContext*, mlir::MlirOptMainConfig const&) MlirOptMain.cpp:0:0
#24 0x00005a1ed8219dfb llvm::LogicalResult llvm::function_ref<llvm::LogicalResult (std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, llvm::raw_ostream&)>::callback_fn<mlir::MlirOptMain(llvm::raw_ostream&, std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, mlir::DialectRegistry&, mlir::MlirOptMainConfig const&)::$_0>(long, std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, llvm::raw_ostream&) MlirOptMain.cpp:0:0
#25 0x00005a1ed82c3ae5 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)
#26 0x00005a1ed8214ff2 mlir::MlirOptMain(llvm::raw_ostream&, std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, mlir::DialectRegistry&, mlir::MlirOptMainConfig const&) (./mlir-opt+0x42e4ff2)
#27 0x00005a1ed82152a3 mlir::MlirOptMain(int, char**, llvm::StringRef, llvm::StringRef, mlir::DialectRegistry&) (./mlir-opt+0x42e52a3)
#28 0x00005a1ed82154b2 mlir::MlirOptMain(int, char**, llvm::StringRef, mlir::DialectRegistry&) (./mlir-opt+0x42e54b2)
#29 0x00005a1ed4f815d7 main (./mlir-opt+0x10515d7)
#30 0x00007441f1054d90 (/lib/x86_64-linux-gnu/libc.so.6+0x29d90)
#31 0x00007441f1054e40 __libc_start_main (/lib/x86_64-linux-gnu/libc.so.6+0x29e40)
#32 0x00005a1ed4f81145 _start (./mlir-opt+0x1051145)
Aborted (core dumped)
```
</pre>
<img width="1px" height="1px" alt="" src="http://email.email.llvm.org/o/eJzsWltv2zgW_jXMCxFDInV9yINr17sFpmiQBLuPBkVSMrc0qSGpNp5fvyCl2JIvyXim7WAGLVzHEg_P5TsXHlEk1opGcX4H0ncgXd6Qzm20uXsWlqgmuqk02909ceugVpDq7VYYgOdw41xrAZ4DtAJo1Qi36aoZ1VuAVlJ-eflz2xr9P04dQKsw1f_I0qSoMpwmLGZlGfGYlkWOszrlOcWMF3lWcUYLDqIliObW8dZCp6HhrdGso9wLDUMgi4ZPuNxKYW5166Dj1s38Fbx12hJ_T2hF5C3jVG9bbYW_tmeZ-LmQEntZimad5BDk7_prWHeKzvwXBEnkp6-rTki23nbSrYlia7sRtQOoACglpok8eI4rqw3Ai_gZI_8pngGKf-2IcrNOiVqbLcALUQA8rzECaAGjWRSnWZHkWZGmeZoUKcIAv_cftIA963jKOnuOn-PLnBe3McoBnofv9yeSIpSUeRElcZYU5bEkdCxJYBQISngL8PtT--LsdxiYFwmOcZ5ilOQoi6OkFzvCGkKvQAQBXkKAkPfujGr1BTGA0AjiESQjnVHpWbWEhfnEGLLzSmSJtyZQhi_Uf_X2MiGJj5ZzU1A_pSe0zgjGX-HckwUIxG-B51qoWg-24L0t60Dip6u2c-vf2kBxG7h85aLZ7O9Fnme-hF4IQMW3DqrvHEk_KnwOoWO464x6iaAzWfgNxIB8OZSN_Y9p_aCG2A10hrxdyHq_rjZ6ywFafdXmMxPmqLDexuWh4gpFZcf44cZj17ba-KK7INYJ1cw2AM_TPOQv41S6XcsBKkjntEc_TMNzgOeUWF-zVkZvIUBZyJ303VMfrl7BnuyDcrzh5imwWcCefEIRhtKlFzi3lps-mbJIWALw4kkHvxf_ITKI8JIyn9pBPl487fpxP0hM0225clDXUChfyYkTleSwNyIOJSCHNRGSs1kP5f0v7-eP76Htqq1wkMCqa_xCoo3zS8rVa5iwtuMWoBUkisEBbug2HPZurQj9HFw7iH90hH6GrNu2e19HMxj-3RvdGLLdW-X1gDOAVvtl7Jzrr1rafFmJYPQcRVGUkpizpCYIV8XIzXZn-x_3RigX1H0KoYmKA5EhX9faOsPJNjhoAYVyvbuKscYAvYue4yj3MgAqD0rEUyXKmjN-TomHTj2KRhH5b6KY5MYOnj8vJ_NsJnLQsbGMFnDCEaBi0L2_bWe09b6Jwv89IzwwypMkruMoYymKYFBmJUUF0Oq5yNZZciuF6p5vG9X1A3Rm9SwL6iUoRdFEuWTKk8ZlTWHrNoYTtv4spLxOQJmVNZ0ISI-VTvIMNjbYea3ySZ5NeGdT3inOawxJ5fPoKs6oyGs84ZyfcI6rq3nG1YRncYREwsvsOp645OUUgXIcW3mKyzijZwMTZ5Ef20_28R9NJxekjBM_mSitdlvdWajIlts2ZF7ZJ8PC9zXLD3bVSblbaKU4dZz1Y1vi6Gau2AP_aoTz2XoouL4ujDl8an3GHsbviXPcqGGqGYo71co6-KQtWQ6VhPfTTxPEGzTJaOI9UBD4RQs2SmvfE4c2x_Aa4EUY7RO67xLCKiOlr5nrWgG8ONFx3rZSUOK0edvsTy03oasCaP62wYvLelZah3Q5YdBj1OM19DBvGvunmBwGftGNoEQ-cNtJ9_v4DlEEULKO-jVUatV4V5-Ae97F6MjFmNH6FNWfLvoTLjpbPzKceqgn9QOPfVGgMs_8o8br9eNfhnO2myK7NOILH7Rqjabc2v9q81kK64al9vKs81GSHGmWxHk1cixpW_nCzc4VW2nJggghdxOMHngTAiObBsbK6N_4ix4Dn0fuRlCOqXvlB-qFVrVoPIEPlxBy5wFPcOa1ngCeTgt2RmNavQW4L56fhn5sOW3H-jaqU5_UKAcC3pcnncc7m-Id84yNs5JxR4R8Sbcn_am9J9bOGWn3GWo6dRSd1p4k5OVUnSsid1bYj0SRxqfqC74L2KmwkcReaw8TxL3KE7DzY5s4RVfbdC9aLoU6rjiedK9q9s2NnBYxaz8o60zo57U5U-XGBL3kfmDQ_Z4YrtwHVeuXAL8ctIh7mCY4FlMcUZIyDv2jXb8yHxRpiSFScrnS5j2hG4AX63WjujV9fu4J1mulzZbIta_GfXFfXOuQUazP7U7RD9tWAlT0OJZ7_3z05g5QWTf0N184_RFCRxKJlJr-CEv7zYJ-WfkegkYL_oH9x18-PCy0cvzZDVD_dPhf4fCfqP-z0ixsV43u5ZJsK0YAygEqfjr7xzt74g_dDkAPD53f2fKsr7o_3f6XuX3YxfCMz3fP5VGHFGW0-sbl4UK3VntR424NRcddb4Hp362TL_BknwvFPzv5b9HJI3QUp3GW8SPxLwadjYQpHhdj0rOdyD3aZ4hJXCLYclNrs53T_ln29TcD-ypgN8Rwtm6dmWyTPOrOUP6xMQC_v_AUf9qsjsakMJ9a95EI1T_fjzdV4Gj0bP6jo92KuGR1BS_t4fyRTZ-9-Z0Sv3b8xPyPfKvN7l1X130s7ukZr0kn3ZpxyR2_PGff1Fx2wtvbqyOcfq87v7s9B-2WgkhO3QNvhHVmdxofr8XAyUNQv-v5Iy15xTNvR2g6jVCKCU9HtttWCjdX7L7fvHtR9y-Ju79hVrxKMR57dEao5oHXF29f2kssvccmRfV4yy6pa3Q-nP9pyXhpvfMITCA63gFMEcEXIRqWa7oh_cI8v9Z1b9l3UW-v1kTv4ljvpLrs2mv0_qMKJtUU2HL6RryIU5bDLRHqwjv11BOMOewPELy8n01YeeWrcFSyMprwjI958iSC67WftraOGLd-UfEaKTyZSkHHtsdJCnv-F62Pk0PuzittHA_viKg2PBzj4Owg4uXQzg27w6zEJbnhd3GO4ywtyyy-2dxxVqYVr6O64hXHZcVoRKqM1GlCMc5ZdCPuUISSOI7TqMAlimcxqeuIZEld1UVSxhVIIr4lQs58mMy0aW7CCZS7OM5wEt9IUnFpw7lNhELIIATS5Y25C-dWqq6xIImksM4eODjhZDjr6fsskC5fPUgCnRFNw40dHd5ZESE7w7_nIZ6bzsi7P346Z4Dnyx36fwAAAP__psMJ9w">