<table border="1" cellspacing="0" cellpadding="8">
    <tr>
        <th>Issue</th>
        <td>
            <a href=https://github.com/llvm/llvm-project/issues/148368>148368</a>
        </td>
    </tr>

    <tr>
        <th>Summary</th>
        <td>
            [MLIR] crashed on `-test-vector-transfer-unrolling-patterns` pass with assertion message: `offsets.size() == sizes.size() && offsets.size() == strides.size()'
        </td>
    </tr>

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

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

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

<pre>
    test commit: [f2e244f](https://github.com/llvm/llvm-project/commit/f2e244f443c99f814216bef37a82f1b8d3e5975d)

step to reproduce:
```
mlir-opt test.mlir -test-vector-transfer-unrolling-patterns
```

minimal test case:

```
module {
  memref.global "private" constant @__constant_1x6x34x62xi8 : memref<1x6x34x62xi8> = dense<1> {alignment = 64 : i64}
  func.func @main() {
    %c0_i8 = arith.constant 0 : i8
    %c0 = arith.constant 0 : index
    %0 = memref.get_global @__constant_1x6x34x62xi8 : memref<1x6x34x62xi8>
    %alloc = memref.alloc() {alignment = 64 : i64} : memref<1x8x36x62xi8>
    %subview = memref.subview %alloc[0, 1, 1, 0] [1, 6, 34, 62] [1, 1, 1, 1] : memref<1x8x36x62xi8> to memref<1x6x34x62xi8, strided<[17856, 2232, 62, 1], offset: 2294>>
    %1 = vector.transfer_read %0[%c0, %c0, %c0, %c0], %c0_i8 {in_bounds = [true, true, true, true]} : memref<1x6x34x62xi8>, vector<1x6x34x62xi8>
    vector.transfer_write %1, %subview[%c0, %c0, %c0, %c0] {in_bounds = [true, true, true, true]} : vector<1x6x34x62xi8>, memref<1x6x34x62xi8, strided<[17856, 2232, 62, 1], offset: 2294>>
    return
  }
}
```

Crash backtrace:
```
mlir-opt: /home/workdir/llvm-project/mlir/lib/Dialect/Vector/IR/VectorOps.cpp:3879: Type inferStridedSliceOpResultType(VectorType, ArrayAttr, ArrayAttr, ArrayAttr): Assertion `offsets.size() == sizes.size() && offsets.size() == strides.size()' 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 test.mlir -test-vector-transfer-unrolling-patterns
 #0 0x0000557ae2a1e028 llvm::sys::PrintStackTrace(llvm::raw_ostream&, int) (/home/workdir/llvm-project/build/bin/mlir-opt+0x1421028)
 #1 0x0000557ae2a1b6a5 llvm::sys::RunSignalHandlers() (/home/workdir/llvm-project/build/bin/mlir-opt+0x141e6a5)
 #2 0x0000557ae2a1f141 SignalHandler(int, siginfo_t*, void*) Signals.cpp:0:0
 #3 0x00007faa7e024520 (/lib/x86_64-linux-gnu/libc.so.6+0x42520)
 #4 0x00007faa7e0789fc pthread_kill (/lib/x86_64-linux-gnu/libc.so.6+0x969fc)
 #5 0x00007faa7e024476 gsignal (/lib/x86_64-linux-gnu/libc.so.6+0x42476)
 #6 0x00007faa7e00a7f3 abort (/lib/x86_64-linux-gnu/libc.so.6+0x287f3)
 #7 0x00007faa7e00a71b (/lib/x86_64-linux-gnu/libc.so.6+0x2871b)
 #8 0x00007faa7e01be96 (/lib/x86_64-linux-gnu/libc.so.6+0x39e96)
 #9 0x0000557ae57e479d (/home/workdir/llvm-project/build/bin/mlir-opt+0x41e779d)
#10 0x0000557ae57e42f6 mlir::vector::ExtractStridedSliceOp::build(mlir::OpBuilder&, mlir::OperationState&, mlir::Value, llvm::ArrayRef<long>, llvm::ArrayRef<long>, llvm::ArrayRef<long>) (/home/workdir/llvm-project/build/bin/mlir-opt+0x41e72f6)
#11 0x0000557ae58f03e5 void mlir::OpBuilder::createOrFold<mlir::vector::ExtractStridedSliceOp, mlir::Value, llvm::SmallVector<long, 6u>&, llvm::SmallVector<long, 6u>&, llvm::SmallVector<long, 6u>&>(llvm::SmallVectorImpl<mlir::Value>&, mlir::Location, mlir::Value&&, llvm::SmallVector<long, 6u>&, llvm::SmallVector<long, 6u>&, llvm::SmallVector<long, 6u>&) (/home/workdir/llvm-project/build/bin/mlir-opt+0x42f33e5)
#12 0x0000557ae58efefd (anonymous namespace)::UnrollTransferWritePattern::matchAndRewrite(mlir::vector::TransferWriteOp, mlir::PatternRewriter&) const VectorUnroll.cpp:0:0
#13 0x0000557ae880d132 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&)>)::$_0>(long) PatternApplicator.cpp:0:0
#14 0x0000557ae8809e2f mlir::PatternApplicator::matchAndRewrite(mlir::Operation*, mlir::PatternRewriter&, llvm::function_ref<bool (mlir::Pattern const&)>, llvm::function_ref<void (mlir::Pattern const&)>, llvm::function_ref<llvm::LogicalResult (mlir::Pattern const&)>) (/home/workdir/llvm-project/build/bin/mlir-opt+0x720ce2f)
#15 0x0000557ae5f7727a (anonymous namespace)::GreedyPatternRewriteDriver::processWorklist() GreedyPatternRewriteDriver.cpp:0:0
#16 0x0000557ae5f73ad3 mlir::applyPatternsGreedily(mlir::Region&, mlir::FrozenRewritePatternSet const&, mlir::GreedyRewriteConfig, bool*) (/home/workdir/llvm-project/build/bin/mlir-opt+0x4976ad3)
#17 0x0000557ae6652088 (anonymous namespace)::TestVectorTransferUnrollingPatterns::runOnOperation() TestVectorTransforms.cpp:0:0
#18 0x0000557ae5ef5a93 mlir::detail::OpToOpPassAdaptor::run(mlir::Pass*, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int) (/home/workdir/llvm-project/build/bin/mlir-opt+0x48f8a93)
#19 0x0000557ae5ef6332 mlir::detail::OpToOpPassAdaptor::runPipeline(mlir::OpPassManager&, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int, mlir::PassInstrumentor*, mlir::PassInstrumentation::PipelineParentInfo const*) (/home/workdir/llvm-project/build/bin/mlir-opt+0x48f9332)
#20 0x0000557ae5efc7be auto void mlir::parallelForEach<__gnu_cxx::__normal_iterator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo*, std::vector<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo, std::allocator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo>>>, mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::$_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)::$_0&&)::'lambda'(__gnu_cxx::__normal_iterator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo*, std::vector<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo, std::allocator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo>>>&&)::operator()<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo&>(__gnu_cxx::__normal_iterator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo*, std::vector<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo, std::allocator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo>>>&&) const Pass.cpp:0:0
#21 0x0000557ae5ef7b8b mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool) (/home/workdir/llvm-project/build/bin/mlir-opt+0x48fab8b)
#22 0x0000557ae5ef5bec mlir::detail::OpToOpPassAdaptor::run(mlir::Pass*, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int) (/home/workdir/llvm-project/build/bin/mlir-opt+0x48f8bec)
#23 0x0000557ae5ef6332 mlir::detail::OpToOpPassAdaptor::runPipeline(mlir::OpPassManager&, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int, mlir::PassInstrumentor*, mlir::PassInstrumentation::PipelineParentInfo const*) (/home/workdir/llvm-project/build/bin/mlir-opt+0x48f9332)
#24 0x0000557ae5ef8b0e mlir::PassManager::run(mlir::Operation*) (/home/workdir/llvm-project/build/bin/mlir-opt+0x48fbb0e)
#25 0x0000557ae5ef0a7b performActions(llvm::raw_ostream&, std::shared_ptr<llvm::SourceMgr> const&, mlir::MLIRContext*, mlir::MlirOptMainConfig const&) MlirOptMain.cpp:0:0
#26 0x0000557ae5ef06d4 llvm::LogicalResult llvm::function_ref<llvm::LogicalResult (std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, llvm::raw_ostream&)>::callback_fn<mlir::MlirOptMain(llvm::raw_ostream&, std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, mlir::DialectRegistry&, mlir::MlirOptMainConfig const&)::$_0>(long, std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, llvm::raw_ostream&) MlirOptMain.cpp:0:0
#27 0x0000557ae5fa0425 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+0x49a3425)
#28 0x0000557ae5ee98c2 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+0x48ec8c2)
#29 0x0000557ae5ee9b78 mlir::MlirOptMain(int, char**, llvm::StringRef, llvm::StringRef, mlir::DialectRegistry&) (/home/workdir/llvm-project/build/bin/mlir-opt+0x48ecb78)
#30 0x0000557ae5ee9d92 mlir::MlirOptMain(int, char**, llvm::StringRef, mlir::DialectRegistry&) (/home/workdir/llvm-project/build/bin/mlir-opt+0x48ecd92)
#31 0x0000557ae29fca67 main (/home/workdir/llvm-project/build/bin/mlir-opt+0x13ffa67)
#32 0x00007faa7e00bd90 (/lib/x86_64-linux-gnu/libc.so.6+0x29d90)
#33 0x00007faa7e00be40 __libc_start_main (/lib/x86_64-linux-gnu/libc.so.6+0x29e40)
#34 0x0000557ae29fc505 _start (/home/workdir/llvm-project/build/bin/mlir-opt+0x13ff505)
Aborted (core dumped)
```


</pre>
<img width="1" height="1" alt="" src="http://email.email.llvm.org/o/eJzsW1tv27iX_zTMCxFDJnV9yIPj1LsFWiRIOjOPBiUd2dxSlJakWmc-_YKUbF1iJ3WTdPY_6GBqSyJ1zvmdO2mGac03EuAKBdcouLlgjdlW6kp_B2D5RVrlj1cGtMFZVZbcILrAKLguCBDfL1Bwg0i8NabWiC4QWSGy2nCzbdJZVpWIrIT4tv-6rFX1P5AZRFYdKbLqyPg-zZKkiOc-mYcpFDRiMSnmaZxTCJIoyBFJkLdA3kIbqLGpsIJaVXmTgWXrLVDodf97i1JwdVnVBlupZ_YOX9rLy2-QmUpdGsWkLkBdNlJVQnC5uayZMaCknlCyxLjkJRO41QDTe34TllXeCMAoukbeAuMSSgXFbCOqlAmMCKkV_8YMIEJwVkltmDQY-d56vb9bz3fhjvq7kOx4jK2OWxqILocjiH7AiN7gHKSVZDl3D6JrJvhGlmCp0hsc-o4CD30U3TiBikZmM_thuZaMS0RiRJKDwBgjEmTe2vG-wUxxs50dJPVacvFw6jPzZA67fmo7c68RMOu9Vn4Ofk-YCVFlQ-LuQQ_sGZ1MOcQ7Gh7hoJv0G4fvQx6HRx1_FFx7iCzx_PDhoeDGBoi7Ce0H9d0lGQ4MP4Ln5bHeflwbZIm1UTyHHNGlpRzFgeNICCUdz46D_a6KQoOLX0IS3yIdgp07mG2IzPYhslbAcmdFmxus3S2hUxctm96Tomsu12nVyFw74ii4NqoBO-nod3BzxDZj65NlJ-JJz5gi-K64AQewE64z4Y8Beg2Ik4KS5bsbVIFplHQ3bQ7oPsfJbamY3uKUZV-NYs-lUpf0yWpblYDI6nulvuZcPU3rdrp9ylNEVjecifbxn60iyOrj_eHuttazrK4RXdA4Siz9L481YC4LUA-tDh4Ez-C2vgfdCGNHEYnbl9ubJV4oxR4XxqjnbhzxhdagDK8kRqHX6k3PNP8b9vmC3ljj2ifj5yREJMTPvOFkHY4gEuGCcQH5DHmLu08fFg8fsG7SkhvMcNpsbO2qlLFxfXbh5Fo3oBFZYSZzzGUmmhyw2QLOxra0vB8My77ivCnr1rLeDLv_7lS1UazETG0amyC1C7lXVU2MCPWwt_M8zwuCiAFhc_BIjB0MukB0oR91e3GnuDROti_O60jcT1Ls-7rSRgErneqXmEvTGiL-AQdMGy5y-20r3OrgveTa29nWwmsN1Io7n4ibhiw4Ju59Ix_4RjLx30zmApQ-uMarJZpDyIJeIjKRqJj7czzijUjs9LHEmm-4LKq1QWThsmLFc3eZdG_sw8tz_1oGtGMQFYxF4BE_IF6Ho43ZXRyuQ_9ScNnsLjeyaQeyma5moZPZJwHxeon9McEoTooM12Zry8b6KxfiPOpJmBRZTz2YiutHId5oB-9csf0o7AmHY8IeiwqKWWqD8iyyJI4K2pONnpCdp2cTnKc9wXhMcJ5CEp5HkCaQDIAnQw8LIvCjJH-9I_tziKJk36MTOvembEgRugTTRtS-MNrrDzubrsw45bdDHce4f_G2vrbPbBy43DAcAcVsfn8wrs-eDP_JRFui-_h2FeLe1WBRyU1Xl183_gZJweqSFGGvy1GaCuLCoxC4aMfH9OJuMwXMwK1aVcI2Euco_iWtPZRMiD_3jY0DbtuSxsEP322u_YyPzv5Y1mKEsRX6wKIf-FRlzkOOYgzfU_qz5r6FD5GCUgh6HyJjH4ICChf2TFbysawajSUrQdeuGietnH-4Mv-lq_p_2S76rq337XjJTLZdyPweXIc9itOhn40oTD2so9jRUJ0C3KoQtzpqxZjUMouJDjHFsZfPKWnjote1XfFak6_bXtuNdk2abZZdrDAhbNO0LuTIjTrJFnUteMYOaJ5DfchBXUl-HubytJxpVbn69oRAq5lWS08S0gmwryLSD3yqNjxjom3Gf4xu50iI-Guvi2Dn7Ql-otwj9vUn9k2AFE9V-ts-r7DP6zNNRLwMSNFnmmCUaYooIhF7KdP8lwLIH8c2uFH8276c1arKQOu_KvVVcIvAtd-n3zriTOFELMpyOrA_q2uxJ6UdYS4eRzq8h41znElNWanqb9hz7wg8gBmoeji7FbmbvaxkwV3ut-7Ute6vT_1JFLKc9gaJhsjDMCBeHL9kkC-gTbfQ7pL3H_s1315J3WqtkbdyEFbOMNO3K1VO1yJWsHhkEigClgxNkoNhXOwD90t1W98xrRc5qw-xrho58XOtn4T26aBfSCYeNdefmWQbUL0llriRbkc8f7PFpx8XMUsGZkkm6ENKydno73gNgstplrNTD6BO9ck_r45x4tT6o9RGuX2ESh3JrMMJLed2oJP9jimQ5qMsqn3QvFEgxEVCKTlonHgTjWdRCpg1ppo20zVTTAgQq0p9YNkW0eV6vZHNOtvt2gnrtaxUycTa1oq29CzPNd0gbBb6UWaujSVxq_HkYMnPVjGdUrXJx93VOzMdcHRb3b8CabuF2W2RvgOjQS_Sk__86eP9spIGdvvNlN8G_ycM_lvr_64w6xbVh2eRYGWaM0QiROLfxv71xh7Zo6o7RXfr4XdG3u3h_Db7P2b2blvFEn7ajpP5pD2K0jh949zwJk0dS-O0b-rIdBGRQvavXkSkkPXo6e9FxC9eRPgTjcepBxNB99CPetdYc28jYZp60EsYTCT0WJTiGpRdhi_c1pF-4QfXQ6rSW6YgX9dGjXaaHqpGZfB5oxD9cGKj42lHPRgTXN3W5jPjst0CGe5L4cHokSQVTsGFuY9P7YH9zKbZAXsj-f828AT7Zygr9XjdFEXr3If5ORSsEWadgwADp985tF2nLfDy3vRAST9qy3fH00vXnfu4hw3XRj0-dY7nHODJMm3_A8n_C8u84J7ReJeReT4JBsB1LbhZyPyu3c_cy_qPON1_YEg8O2P0C5tRXG7uoTj5-E02Whn1Sf8bG5nsZ0ISZ-S41__bYvYtqhhkcTaos8lUmWkUn1Rm11BkW9a2Dotz3eElTbwRwjSKDwipN0WYJ6fd5RyEvwRKnvTGmhykSoqMhREuGZdvcESKFgULo54XmRyxSfPkzBNMJMkTrydIpwTB9_B6bd9Za8OUWQ-Q_DAL8Acs_Kl-Ai_ALfG30VDgdXlokVbKgPtZMasUuKN_sD-XMz76eZFf0TyhCbuAq3kU2OaKBsnF9ipKsnBOYxplhPo0T8LEo34W5YTkcZxH2QW_Ih4JvGhO5nSezOMZhMTLqRcHSUbCICHI96BkXMwsilmlNhfu1OLV3I9pGF8IloLQ7o8NCGlPjBIU3FyoK4c6bTYa-Z7g2uieguFGuD9QsK0lCm7a446Q4_ZE5w-fVAw9XDOt8XdutpgdDoWWoDXbgDvm-gvOh140Slz9_NnPTpHfrsj_BQAA__-XJV-j">