<table border="1" cellspacing="0" cellpadding="8">
    <tr>
        <th>Issue</th>
        <td>
            <a href=https://github.com/llvm/llvm-project/issues/114760>114760</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 commit: https://github.com/llvm/llvm-project/commit/efd8938d575d1f8058bfe220e4c672d969c82be0
steps to reproduce:
```
mlir-opt test.mlir -tosa-optional-decompositions
```
test case:
```
module {
  func.func @main(%arg0: tensor<1x32x32x8x!quant.uniform<i8:f32, 0.015684768557548523>>, %arg1: tensor<16x1x1x8x!quant.uniform<i8<-127:127>:f32, 0.015680249780416489>>, %arg2: tensor<16xi32>, %arg3: tensor<2x3xi32>) -> (tensor<1x32x32x16x!quant.uniform<i8:f32, 0.078431375324726104>>) {
    %0 = tosa.conv2d %arg0, %arg1, %arg2 {dilation = array<i64: 2, 1>, pad = array<i64: 1, 1, 2, 2>, quantization_info = #tosa.conv_quant<input_zp = -1, weight_zp = 0>, stride = array<i64: 1, 1>} : (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/test4.mlir -tosa-optional-decompositions
 #0 0x00006422532d5998 llvm::sys::PrintStackTrace(llvm::raw_ostream&, int) (./mlir-opt+0x105e998)
 #1 0x00006422532d34be llvm::sys::RunSignalHandlers() (./mlir-opt+0x105c4be)
 #2 0x00006422532d63a8 SignalHandler(int) Signals.cpp:0:0
 #3 0x0000746e95363520 (/lib/x86_64-linux-gnu/libc.so.6+0x42520)
 #4 0x0000746e953b79fc pthread_kill (/lib/x86_64-linux-gnu/libc.so.6+0x969fc)
 #5 0x0000746e95363476 gsignal (/lib/x86_64-linux-gnu/libc.so.6+0x42476)
 #6 0x0000746e953497f3 abort (/lib/x86_64-linux-gnu/libc.so.6+0x287f3)
 #7 0x0000746e9534971b (/lib/x86_64-linux-gnu/libc.so.6+0x2871b)
 #8 0x0000746e9535ae96 (/lib/x86_64-linux-gnu/libc.so.6+0x39e96)
 #9 0x000064225581f14c (./mlir-opt+0x35a814c)
#10 0x00006422558708f4 (anonymous namespace)::Conv2DIsFullyConnected::matchAndRewrite(mlir::tosa::Conv2DOp, mlir::PatternRewriter&) const TosaDecomposeConv2D.cpp:0:0
#11 0x0000642258530b5a 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&)>)::$_0>(long) PatternApplicator.cpp:0:0
#12 0x000064225852d79f mlir::PatternApplicator::matchAndRewrite(mlir::Operation*, mlir::PatternRewriter&, llvm::function_ref<bool (mlir::Pattern const&)>, llvm::function_ref<void (mlir::Pattern const&)>, llvm::function_ref<llvm::LogicalResult (mlir::Pattern const&)>) (./mlir-opt+0x62b679f)
#13 0x00006422565738ee (anonymous namespace)::GreedyPatternRewriteDriver::processWorklist() GreedyPatternRewriteDriver.cpp:0:0
#14 0x000064225657038b mlir::applyPatternsAndFoldGreedily(mlir::Region&, mlir::FrozenRewritePatternSet const&, mlir::GreedyRewriteConfig, bool*) (./mlir-opt+0x42f938b)
#15 0x00006422558521ab (anonymous namespace)::TosaOptionalDecompositions::runOnOperation() TosaOptionalDecompositions.cpp:0:0
#16 0x00006422564fa8bf mlir::detail::OpToOpPassAdaptor::run(mlir::Pass*, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int) (./mlir-opt+0x42838bf)
#17 0x00006422564fb0a2 mlir::detail::OpToOpPassAdaptor::runPipeline(mlir::OpPassManager&, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int, mlir::PassInstrumentor*, mlir::PassInstrumentation::PipelineParentInfo const*) (./mlir-opt+0x42840a2)
#18 0x00006422565007be auto void mlir::parallelForEach<__gnu_cxx::__normal_iterator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo*, std::vector<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo, std::allocator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo>>>, mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::$_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)::$_0&&)::'lambda'(__gnu_cxx::__normal_iterator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo*, std::vector<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo, std::allocator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo>>>&&)::operator()<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo&>(__gnu_cxx::__normal_iterator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo*, std::vector<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo, std::allocator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo>>>&&) const Pass.cpp:0:0
#19 0x00006422564fc8ab mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool) (./mlir-opt+0x42858ab)
#20 0x00006422564faa1c mlir::detail::OpToOpPassAdaptor::run(mlir::Pass*, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int) (./mlir-opt+0x4283a1c)
#21 0x00006422564fb0a2 mlir::detail::OpToOpPassAdaptor::runPipeline(mlir::OpPassManager&, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int, mlir::PassInstrumentor*, mlir::PassInstrumentation::PipelineParentInfo const*) (./mlir-opt+0x42840a2)
#22 0x00006422564fd84e mlir::PassManager::run(mlir::Operation*) (./mlir-opt+0x428684e)
#23 0x00006422564f6372 performActions(llvm::raw_ostream&, std::shared_ptr<llvm::SourceMgr> const&, mlir::MLIRContext*, mlir::MlirOptMainConfig const&) MlirOptMain.cpp:0:0
#24 0x00006422564f5fdb llvm::LogicalResult llvm::function_ref<llvm::LogicalResult (std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, llvm::raw_ostream&)>::callback_fn<mlir::MlirOptMain(llvm::raw_ostream&, std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, mlir::DialectRegistry&, mlir::MlirOptMainConfig const&)::$_0>(long, std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, llvm::raw_ostream&) MlirOptMain.cpp:0:0
#25 0x000064225659f9b5 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+0x43289b5)
#26 0x00006422564f11d2 mlir::MlirOptMain(llvm::raw_ostream&, std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, mlir::DialectRegistry&, mlir::MlirOptMainConfig const&) (./mlir-opt+0x427a1d2)
#27 0x00006422564f1483 mlir::MlirOptMain(int, char**, llvm::StringRef, llvm::StringRef, mlir::DialectRegistry&) (./mlir-opt+0x427a483)
#28 0x00006422564f1692 mlir::MlirOptMain(int, char**, llvm::StringRef, mlir::DialectRegistry&) (./mlir-opt+0x427a692)
#29 0x00006422532b4b77 main (./mlir-opt+0x103db77)
#30 0x0000746e9534ad90 (/lib/x86_64-linux-gnu/libc.so.6+0x29d90)
#31 0x0000746e9534ae40 __libc_start_main (/lib/x86_64-linux-gnu/libc.so.6+0x29e40)
#32 0x00006422532b46f5 _start (./mlir-opt+0x103d6f5)
Aborted (core dumped)
```
</pre>
<img width="1px" height="1px" alt="" src="http://email.email.llvm.org/o/eJzsWltv2zgW_jXMCxGDInWhHvLg2vFugSkaJMHuo0FJlMwtRWpIqrXn1y8oybbkS9LM9IIZtHCTWDw8l-9ceEiRWSsqxfkdiN6BaHnDWrfR5m4rLFMVusl0sbt75tZBrWCu61o4QOZw41xjAZkDvAJ4VQm3abNZrmuAV1J-3v-6bYz-H88dwKthKl7xsqApoUWUREVQUhTRrOQYIx7mcYKLNE5zijOOAFoCNLeONxY6DQ1vjC7anIP7FXi3AOm8JwAxGj7d11oKc6sbBx23bua_wVunLfPPhFZM3hY813WjrfDf7UUmfi7MmeXewItSdNFKDkHyrv8OYdmqfOZ_QBCimgkFMAU4YqZCHi7HldUGkEWwJdh_6Bbg4PeWKTdrlSi1qQFZCArIvCQY4AVEMxREMQ2TmEZREoU0wgSQe__BC9izDqas422wDa5zXtwGOAFk3v28P5OEcJgmFIVBHNL0VBI-lSQInhCQCQHekgNFCm8BuYcA0zMQgvgrUEhoSAKSRASHCY4DFO51S8f4Q68HgoAsoXf3LNfqMy7g3gUjyI42-fmFkMwHQjeTGcN2XoM49OZ0GgSDmQ0rLtEEPQ1e9NR7UDqbxB8d67VQpe7mAkwOyq07Es9INa1b_9F0FLcdqy9cVJvDMzTwtM6Igr-gBLkHyRL6B5fA_osR953D7FJsDZHzbcPmEC-Gu9aofdhcSNFvIQYky6GAHP6YVpLcMLuBzrD8erEZSlrv2NVG1xzg1RdtPhXCnBTa2yA9VmChctkW_PjgqW0abXwRXjDrhKpmG0DmUdJld8Fz6XYNB5iy1mkPfzeNzAGZ58w6gOnK6BoCHHfJF7177sPaK9iTvVeOV9w8d2wWsCefUHRD0dILnFvLTZ97MRKWAbJ41p3j6X-Y7ER4STEEGHfyyeJ514_7QWaqtubKQV1CoXxNZ05kksPeiABgDHACSyYkL2Y9lA-_3c-f7qFts1o4yGDWVn5h0cb5JebNa5qwtuUW4BVkqoAD3NBtOOzdmrH8U-faQfyTY_knWLR1c_A1msHu34PRlWH1wSqvB5wBvDosaJdc7xeq8KtXOV9_EERbhBCKQ4wjgosoTenIz3Zn-z8ejFCu0_e5i01Mj0SGfVlr6wxndeehBRTK9f6iY5UBfoe2AYp4mnqPHZUITpQgYcYvKfHYqidRKSb_zVQhubGD66_IycOMT-TgEzkxYRROOAJMB937x3aWN945qPt_YEQGRkkY8zQiMYkwgp0yKykygFdbGq_j8FYK1W5vK9X2A_nM6lncqRfiCKOJcuGUZ5akZQ4btzGcFetPQsq3CUjjtMwnAqJTpcMkhpXt7Hyr8mEST3jHU95hmpQEsswn0ps4Y5qUZMI5OeMcZG_mGWQTnnTKM2I8jd_Gk6Q8nSKQjmMrokEZhPnFwCQRo0F4dI2PfzSdnCBahn4yU1rtat1aqFjNbdNlXtonw8J3NMv3dtVKuVtopXjueNGP1czlm7kqHvkXI5zP1mPF9XVhzOFj4zP2OP7AnONGDVPNUN1zrayDz9qy5VBJeD_9PEG8QZOMphFBWcTgZy2KUVr77rjrhwwvAVl0o31C931Ct8xI6YvmulSALM50nDeNFDlz2rxu9seGm679Anj-usGL63pmWnfpcsagx6jHa-hiXjX2LzE5DvymK5Ez-chtK93X8R2iCOBw3TeUVGpVeVefgXvZxXjqYlwkaXmO6i8X_QUXXawfMc7iJC0n9YOMfRFHCaGcv1Y__mU4L3ZTZJdGfOaDVo3RObf2v9p8kqLr9rxG12ddjpLwRDNEaDZyLGsauedm56pYaVl0IoTcTTB65FUXGPE0MFZG_8H3egx8nrgbQTmm7pUfqBdalaLyBD5cupC7DHiIy5TQbAJ4NC3YEQ5Y9hrgvnh-HPqx5bQd69uoVn1Uoxzo8L4-6TLe8QTvsGQ0G2dlwR0Tcp9uz_pj88CsnResOWSoadVJdFp7lpDXU3WumNxZYT8wxSqfqnt8F7BV3clS8VJ7GGJKaDaN7uTEpgwx_GabHkTDpVCnFceTHlSNv7mR0yJm7Xtlnekaem0uVLkxQS-5Hxh0f2CGK_delXof4C8ELQ0RwxMc6TQXEUoyDv3erl-Zj4o0zDApuVxpc8_yDSCL9bpS7TrfbnuC9VppUzO59tW4L-6LtzpkFOtzu1P5-7qRANMex_Tgnw_e3AEq64b-5jPPf4TQkUQmpc5_hKX9cUG_rHwPQaMF_8j-w2_vHxdaOb51A9S_HP4zHP4L9X9WmnXnVaNniWR1VjCAE4DpL2f_eGdP_KGbAehh0_mdLY_7qvvL7T_N7cMphmd8uXtOTzrNnLLsG5eHa91aRNlki4HRaSfPgvzv1smzYHLOhYNfnfy36OQxPsGxoCE_Eb836GIkTPG4KjemIZ_IJSdyY5Jg2HBTalPP834v-_KbgUMVsBtmeLFunJkckzzp1uT8Q2UAub-yiz9vVkdjUpiPjfvAhOr39-NDFTgavZj_ODyxLyqLDF47w_kzhz4H81slfm_5mfkfeK3N7l1bln0sHugLXrJWunXBJXf8-pxDU3PdCa8fr45w-lp3fnd7jtotBZM8d4-8EtaZ3Xl8vBQDZ5ug_tTzR1rygmdej9BouodPyzSLRrbbRgo3V8VDf3i3V_enxN3fMCtepBiPPTkjVPXIy6uPrxRVgmmaRZOienpkFwQFvhzO_7RkvLLuJCwopuvd6QlgEFJyFaJhuc43rF-Y52913Wv2Xdc7pGSiNz3VO06vu_Ytev9ZBeN0Cmw6fSOehVmSwJoJdeWdOimyJBlzOFwg2L-fZUX6xlfhOC1SNOEZnPLkIYLrtZ-2to4Zt96r-BYpPJxKwae2x2UEe_5XrY_LY-7OM20c794R5drw7h4HL44i9rd2boo7UqQkZTf8LkgISgJEUHizuQsYjjgOQprxNE0pzcs0LnFWYh7mDEXxjbjDCIdBgEJEoyAMZ3Ea0YTTmJEszxkLQIh4zYSc-TCZaVPddFdQ7oIgTGJ0I1nGpe0ucmLchQzGIFremLvu4krWVhaESArr7JGDE052lz99nwWi5YsXSaAzoqq4saPbOysmZGv497zFc9Maeffnr-cM8Hy-w_8PAAD__2ET-w4">