<table border="1" cellspacing="0" cellpadding="8">
    <tr>
        <th>Issue</th>
        <td>
            <a href=https://github.com/llvm/llvm-project/issues/120001>120001</a>
        </td>
    </tr>

    <tr>
        <th>Summary</th>
        <td>
            [Mlir][affine] --lower-affine crashes in AffineOps.cpp:foldLoopBounds
        </td>
    </tr>

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

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

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

<pre>
    git version: ff939b06a5

system: `Ubuntu 18.04.6 LTS`

reproduce with: `/data/szy/MLIR/llvm-release/llvm-project/build/bin/mlir-opt a.mlir --lower-affine`


a.mlir: 
``` 
#map = affine_map<() -> ()>
module {
 llvm.mlir.global private constant @__constant_1x10x7xi32_1(dense<7267> : tensor<1x10x7xi32>) {addr_space = 0 : i32, alignment = 64 : i64} : !llvm.array<1 x array<10 x array<7 x i32>>>
  func.func @main() {
    %0 = llvm.mlir.addressof @__constant_1x10x7xi32_1 : !llvm.ptr
    %1 = llvm.mlir.constant(0 : index) : i64
    %2 = llvm.mlir.undef : !llvm.struct<(ptr, ptr, i64, array<3 x i64>, array<3 x i64>)>
    %3 = llvm.mlir.constant(3735928559 : index) : i64
    %4 = llvm.mlir.constant(1 : index) : i64
    %5 = llvm.mlir.constant(10 : index) : i64
    %6 = llvm.mlir.constant(7 : index) : i64
    %7 = llvm.mlir.constant(70 : index) : i64
    %8 = llvm.getelementptr %0[0, 0, 0, 0] : (!llvm.ptr) -> !llvm.ptr, !llvm.array<1 x array<10 x array<7 x i32>>>
    %9 = llvm.inttoptr %3 : i64 to !llvm.ptr
    %10 = llvm.insertvalue %9, %2[0] : !llvm.struct<(ptr, ptr, i64, array<3 x i64>, array<3 x i64>)> 
    %11 = llvm.insertvalue %8, %10[1] : !llvm.struct<(ptr, ptr, i64, array<3 x i64>, array<3 x i64>)> 
    %12 = llvm.insertvalue %1, %11[2] : !llvm.struct<(ptr, ptr, i64, array<3 x i64>, array<3 x i64>)> 
    %13 = llvm.insertvalue %4, %12[3, 0] : !llvm.struct<(ptr, ptr, i64, array<3 x i64>, array<3 x i64>)> 
    %14 = llvm.insertvalue %5, %13[3, 1] : !llvm.struct<(ptr, ptr, i64, array<3 x i64>, array<3 x i64>)> 
    %15 = llvm.insertvalue %6, %14[3, 2] : !llvm.struct<(ptr, ptr, i64, array<3 x i64>, array<3 x i64>)> 
    %16 = llvm.insertvalue %7, %15[4, 0] : !llvm.struct<(ptr, ptr, i64, array<3 x i64>, array<3 x i64>)> 
    %17 = llvm.insertvalue %6, %16[4, 1] : !llvm.struct<(ptr, ptr, i64, array<3 x i64>, array<3 x i64>)> 
    %18 = llvm.insertvalue %4, %17[4, 2] : !llvm.struct<(ptr, ptr, i64, array<3 x i64>, array<3 x i64>)> 
    %19 = builtin.unrealized_conversion_cast %18 : !llvm.struct<(ptr, ptr, i64, array<3 x i64>, array<3 x i64>)> to memref<1x10x7xi32>
    %alloc = memref.alloc() : memref<1x10x7xi32>
 affine.for %arg0 = max #map() to min #map() {
      affine.for %arg1 = 0 to 7 {
        %20 = affine.load %19[0, %arg0, %arg1] : memref<1x10x7xi32>
 affine.store %20, %alloc[0, %arg0, %arg1] : memref<1x10x7xi32>
      }
 }
    return
  }
}



``` 
stack trace:

``` 
mlir-opt: /data/szy/MLIR/llvm-release/llvm-project/mlir/lib/Dialect/Affine/IR/AffineOps.cpp:2201: auto foldLoopBounds(AffineForOp)::(anonymous class)::operator()(bool) const: Assertion `boundMap.getNumResults() >= 1 && "bound maps should have at least one result"' failed.
PLEASE submit a bug report to https://github.com/llvm/llvm-project/issues/ and include the crash backtrace.
Stack dump:
0.  Program arguments: /data/szy/MLIR/llvm-release/llvm-project/build/bin/mlir-opt a.mlir --lower-affine
 #0 0x000055dc725e3348 llvm::sys::PrintStackTrace(llvm::raw_ostream&, int) (/data/szy/MLIR/llvm-release/llvm-project/build/bin/mlir-opt+0x111f348)
 #1 0x000055dc725e0e5e llvm::sys::RunSignalHandlers() (/data/szy/MLIR/llvm-release/llvm-project/build/bin/mlir-opt+0x111ce5e)
 #2 0x000055dc725e3cdd SignalHandler(int) Signals.cpp:0:0
 #3 0x00007f02fb714420 __restore_rt (/lib/x86_64-linux-gnu/libpthread.so.0+0x14420)
 #4 0x00007f02fad5100b raise /build/glibc-LcI20x/glibc-2.31/signal/../sysdeps/unix/sysv/linux/raise.c:51:1
 #5 0x00007f02fad30859 abort /build/glibc-LcI20x/glibc-2.31/stdlib/abort.c:81:7
 #6 0x00007f02fad30729 get_sysdep_segment_value /build/glibc-LcI20x/glibc-2.31/intl/loadmsgcat.c:509:8
 #7 0x00007f02fad30729 _nl_load_domain /build/glibc-LcI20x/glibc-2.31/intl/loadmsgcat.c:970:34
 #8 0x00007f02fad41fd6 (/lib/x86_64-linux-gnu/libc.so.6+0x33fd6)
 #9 0x000055dc726afb93 foldLoopBounds(mlir::affine::AffineForOp)::$_0::operator()(bool) const AffineOps.cpp:0:0
#10 0x000055dc72683251 mlir::affine::AffineForOp::fold(mlir::affine::AffineForOpGenericAdaptor<llvm::ArrayRef<mlir::Attribute>>, llvm::SmallVectorImpl<mlir::OpFoldResult>&) (/data/szy/MLIR/llvm-release/llvm-project/build/bin/mlir-opt+0x11bf251)
#11 0x000055dc726bfca2 llvm::LogicalResult mlir::Op<mlir::affine::AffineForOp, mlir::OpTrait::OneRegion, mlir::OpTrait::VariadicResults, mlir::OpTrait::ZeroSuccessors, mlir::OpTrait::VariadicOperands, mlir::OpTrait::AttrSizedOperandSegments, mlir::OpTrait::SingleBlock, mlir::OpTrait::SingleBlockImplicitTerminator<mlir::affine::AffineYieldOp>::Impl, mlir::OpTrait::OpInvariants, mlir::BytecodeOpInterface::Trait, mlir::OpTrait::AutomaticAllocationScope, mlir::ConditionallySpeculatable::Trait, mlir::OpTrait::HasRecursiveMemoryEffects, mlir::LoopLikeOpInterface::Trait, mlir::RegionBranchOpInterface::Trait>::foldHook<mlir::affine::AffineForOp>(mlir::Operation*, llvm::ArrayRef<mlir::Attribute>, llvm::SmallVectorImpl<mlir::OpFoldResult>&) (/data/szy/MLIR/llvm-release/llvm-project/build/bin/mlir-opt+0x11fbca2)
#12 0x000055dc726bd810 mlir::RegisteredOperationName::Model<mlir::affine::AffineForOp>::foldHook(mlir::Operation*, llvm::ArrayRef<mlir::Attribute>, llvm::SmallVectorImpl<mlir::OpFoldResult>&) (/data/szy/MLIR/llvm-release/llvm-project/build/bin/mlir-opt+0x11f9810)
#13 0x000055dc7569456d mlir::Operation::fold(llvm::ArrayRef<mlir::Attribute>, llvm::SmallVectorImpl<mlir::OpFoldResult>&) (/data/szy/MLIR/llvm-release/llvm-project/build/bin/mlir-opt+0x41d056d)
#14 0x000055dc75694913 mlir::Operation::fold(llvm::SmallVectorImpl<mlir::OpFoldResult>&) (/data/szy/MLIR/llvm-release/llvm-project/build/bin/mlir-opt+0x41d0913)
#15 0x000055dc755d397a mlir::OpBuilder::tryFold(mlir::Operation*, llvm::SmallVectorImpl<mlir::Value>&) (/data/szy/MLIR/llvm-release/llvm-project/build/bin/mlir-opt+0x410f97a)
#16 0x000055dc7554c39c (anonymous namespace)::OperationLegalizer::legalize(mlir::Operation*, mlir::ConversionPatternRewriter&) DialectConversion.cpp:0:0
#17 0x000055dc7554b767 mlir::OperationConverter::convert(mlir::ConversionPatternRewriter&, mlir::Operation*) (/data/szy/MLIR/llvm-release/llvm-project/build/bin/mlir-opt+0x4087767)
#18 0x000055dc7554c93f mlir::OperationConverter::convertOperations(llvm::ArrayRef<mlir::Operation*>) (/data/szy/MLIR/llvm-release/llvm-project/build/bin/mlir-opt+0x408893f)
#19 0x000055dc75552afb mlir::applyPartialConversion(mlir::Operation*, mlir::ConversionTarget const&, mlir::FrozenRewritePatternSet const&, mlir::ConversionConfig) (/data/szy/MLIR/llvm-release/llvm-project/build/bin/mlir-opt+0x408eafb)
#20 0x000055dc74f28ccd (anonymous namespace)::LowerAffinePass::runOnOperation() AffineToStandard.cpp:0:0
#21 0x000055dc754ee3d6 mlir::detail::OpToOpPassAdaptor::run(mlir::Pass*, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int) (/data/szy/MLIR/llvm-release/llvm-project/build/bin/mlir-opt+0x402a3d6)
#22 0x000055dc754eed00 mlir::detail::OpToOpPassAdaptor::runPipeline(mlir::OpPassManager&, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int, mlir::PassInstrumentor*, mlir::PassInstrumentation::PipelineParentInfo const*) (/data/szy/MLIR/llvm-release/llvm-project/build/bin/mlir-opt+0x402ad00)
#23 0x000055dc754f12d2 mlir::PassManager::run(mlir::Operation*) (/data/szy/MLIR/llvm-release/llvm-project/build/bin/mlir-opt+0x402d2d2)
#24 0x000055dc754e9a4a performActions(llvm::raw_ostream&, std::shared_ptr<llvm::SourceMgr> const&, mlir::MLIRContext*, mlir::MlirOptMainConfig const&) MlirOptMain.cpp:0:0
#25 0x000055dc754e969d 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
#26 0x000055dc75595235 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) (/data/szy/MLIR/llvm-release/llvm-project/build/bin/mlir-opt+0x40d1235)
#27 0x000055dc754e3685 mlir::MlirOptMain(llvm::raw_ostream&, std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, mlir::DialectRegistry&, mlir::MlirOptMainConfig const&) (/data/szy/MLIR/llvm-release/llvm-project/build/bin/mlir-opt+0x401f685)
#28 0x000055dc754e392f mlir::MlirOptMain(int, char**, llvm::StringRef, llvm::StringRef, mlir::DialectRegistry&) (/data/szy/MLIR/llvm-release/llvm-project/build/bin/mlir-opt+0x401f92f)
#29 0x000055dc754e3c5e mlir::MlirOptMain(int, char**, llvm::StringRef, mlir::DialectRegistry&) (/data/szy/MLIR/llvm-release/llvm-project/build/bin/mlir-opt+0x401fc5e)
#30 0x000055dc725c3e37 main (/data/szy/MLIR/llvm-release/llvm-project/build/bin/mlir-opt+0x10ffe37)
#31 0x00007f02fad32083 __libc_start_main /build/glibc-LcI20x/glibc-2.31/csu/../csu/libc-start.c:342:3
#32 0x000055dc725c39ae _start (/data/szy/MLIR/llvm-release/llvm-project/build/bin/mlir-opt+0x10ff9ae)
``` 
</pre>
<img width="1" height="1" alt="" src="http://email.email.llvm.org/o/eJzcW1tz46iz_zTKCxUXAl0f8uBcfHaqkp3UZM5WnfPiQgI5nEGgAyhj76f_F0iyLCe2M7Pr7KXKsXVp6F__umkapBBj-EoydhXE10F8e0Fa-6z01V3NxYas2UWh6OZqxS14YdpwJQM8B1WV47yACYkDOA_g3GyMZbW7EyTwv4tW2haE2QxGswTcf30KEtjJadZoRduSge_cPvfyAVpQYkmAFub3TYAWD_efvgRoIcRLfamZYMSw4bTR6v9YaQO0KFouqPvlMkCLWnB9qRoLyMwdgstLob4zfUmqiku2VR_AeSfgNcO5u-E__gThmjQgwLega7asSRPgmwBlAcrBZYDvQHcc4LsAzmtFW8FAkF4HcA4cPN_1bCVUQQRoNH8hloFSSWOJtCCI4HI5nC3DdQjX6ZpjtAwDlFEmDQvwTYqS1CvCc2CZNEoH-GaUdZpR7nQSSvXSNKRkHjH0LZwEugFE8JWsmdOJb0ESdfeSKEhv_WGAQg-XaE02rn-wBttjuHOSgjXotXYfOAegamU5c1_Oopo4_rMelL8PQIBi6FWPpDi4zBhVHaFhgq2xeuwt3OttaB6grDdcUrb2IHpLt03RXtNWUlZNNBmr29J2jnZa0Q3of1xHjs6eDezYSCLvg7ev5gNHXjU-jBqnOM5RFsf5CfjR4T7CE03jI01PsZYcbpueaJoeaXpKbTa2XTHLBHNB3FjtIyqIr6EjfvcrHgI6242bcbTuXLv5g2HvAeYjQC6tVT02PJgCrDoQwXC3pWHavhDRMt9nhy1G3sD49pzBCXYQhQcRZT2i0HEefiAkdBBSOEAKg_gafSAkfBBSNEByjsN78Xh2XNFBXPGACw-4PtKF8UFcyYArGnB9pB-Tg7jSAVccxNfRR_sxPc1XMuD6SD9mp-M-HXB9pB-7DOyqP8vlrJWaEcF_Z9SVFH2BuiyJsVsjzofKKlCzWrPqVYm2hUuEUKVH3EnO_IWhYMLzIx10NeisUn6GIXrVzSA1WYOuUu17cSi4nF4bSzHwup-wLxitAulEsquX4E4FPBOK0I72YfbtsYyH26A8aYqxSrNOx9Dcs_EHeu5Qp7fuuP8BAGhmWy39SXex_95-dst-Y0n5DVhNShbgtwSGtUUXSj-xVPELDrQQvAjQ4pYT0V2ed2sTtPBddGefGzMrmybAc4Rg6DSS1ipQKUHvlWquVSupCVDWSS-U_tz4YJy7D8qIVHJTq9aAUhBjtrdUwzSxSvfLF5QVSgkXKL44c2rmxo1xrqRbkBVOzQNpXBH2a1t_YaYV1myj9s4FSAgClAQoAQFCXh7UpDHAPKtWUPBMXhggFjhGLFCSAe07CRAKUAoqwgWjswDOH-_v5k93wLRFzS0goGhXQLNGaevi89naxnjTFgFarLh9botZqeqe49dUc2NaZgK0AERSwGUpWsqAfWag1MQ8g4KU37yrne4n73na1k3neDgD4FGrlSY1IHrVuuLT_LTXf2iB6sIXYQjgGkII45iWKYoZxlHmU3DnRbMx3cGj5tJ69F992KJsFNLk-1IZqxmpvYNuAHe1d97VyH-aHQG6huswDCsc-ZDqDAj3DIAsZm8Z8KWVT3wlifiFSCqY3sbWWTCWLGYjRrRPckkpmKAJUNZz1l0ehiT0f10vuO8lrSCqijSMIgTBcqmZT3JLbXtbukG_zpJlEl0KLtv15Uq23Y3GPmtG6MyoGeywul5GpNGuDkLjEMICaMKNS6Jbm1eCF-XlffkJwfX2FM1w6Cj0-AO0mM3c2cZQ1rjR0Uq-7i68eCiydae-61kZ4HnsUk_Yw4inMDDM4hyQQnkb3wfD0o4H38pryJyGtNeQ7GtIUQ5WzC47xEvDVm4sLocS5F1KubTOcjeD1WZVkk5vDF1KzHrF6VuKl1IsXaslVTXxM-sf0JenLmpw1CvMpgqjsKLJOyKldDGS-BjBuKLJGCP5JJoTUhU5fj1d9FteAZ73-cYfvz2JREv4nkkD7E9Yw-hwaWCayJIMozgEp0H4Cw78eyD_F5NM83JOSWP9LtmYZ-auYvviK4axm7m1mhetZf2aHt3sZKanmgjxGyut0p_qRkwafm4WStBuEvQNk7OlqqLyK928p3GaTpOiKgnaAX2vVrwkokMGdgFP8B90-c2kzVdNuO1PJPvCVlzJIzK_Ec0J5eW2ODgo-b9Mq6e2LJkxSh8THLr87ALPB-5BUefMJ1f297JPXYY41uSJy5Vg10KV394n5QKBl9x-ZbrmknRBdozW_-FMUEf-XXfVR9IRlptP8sWZ_Ar39cayUlHmJCzTVV-a4nnX-ggtrVU1sbycu8KauHruqVQNmza5UZJyd48IsXlqWNkKYkkh3qnkF2K-sLLVhr-wB1YrvbmrKlbuG-ES0D3_9i4jumi71kSWzwfkB1JdevhFqW_vCnE3WrNdM1xG83E9n47_0xnj75guqqIkaEwXaC9d0CyEeyQby3Q_aBwPv5K6Z-1BUSbey-nUEf9qhvMshCPDeJfhOMmjOKHgLet3Z7J_NgdRSGGc0JGDaJ-DPMQ_wMHfxqg8xKNR8cSomOI8JROjrl1nrD-1erPYr1IOR_4xi39zFe2ZTYVVnpLR1GRqalTivASTvQNJauafLG6rwq1x92zlt9t6-KI_PcrEZOLpt-geibVMyy_su-bWrbi8-f3eyCj2RmmZ7sEv0iR9K_y6TuyAtNsdtBOgx-HcvBnUzqTz-AlmaZqko5-yfT_luHq_odvb5nQGmljXP2A-i4FZjqvRwHxqYIxIVewuEppGbB6JtpyI0VM_HGlfiV4x22907ft1odXvbHB7HwRPB6XHTm-UrPjqfEQxUhVbotBkNRVVKCtLemrE3qvvTHfT9iMx_baLbuVnuUOa33PphL6qJ0skJZq-HnNosg6JI8YwTXZ4ocwSLraVovrcOJXbhVmveeI5j2nfaYfdOZdEbAw3D0SSFfNb9t1i9Aa00r-9Qs-4zRVBRPCw6HZ8oH0-KIQ_zMcjb5jwG8CTiHaiWzOPpqGfImi3kVP1SRqr_U6nW-jPjwnszOoD9keimbSfZKWGIXO-9IgIhWMphqalWFSFiKI96AMZb0bgh6R0RBEdC3QU7cVNTiICGqYrpet5-Tpbv97LNZb2W6nPRDO6bOx05-NJtbpkDysd4LsDWcxZdaOkZWv7yuEPguvPjX0gvE9xO33kYOfuG0ki3jcuyenBzYrxetVKb_mye8JzqEGAsq3treT_37JXtndr0eu2qroBsJWnrCKtsEvKBHNl9qE2b-wL7Xsg3y5_SiJEQcpvy0pOJtMdkt7ry7PbM6LrK6xuKag3r4PjWAB0Iv0OoVtZCyVXH2vJEc-cCM-9sjePEY53DDeN4HYu6aNWJTNmwPqXBN0_cEgclZgshqzmcuUq0EOXz5SKaYhwPKbidC9b4SSL3x4H_7ZRfB56wyrJdujN9unNUXWQ3r4wKZ9JV4Lsr59Phswpbs5mc47G9QzK920uY_an2PwXGVcOT00DhPcfTZeY4RT0j8f-_H03WFUMj2vh7XPl4TkdghkGy6XgRbk0lmi7_JEndaVph0ei3aG_6fvxz-xwhNx3rxvtW54TBjqt57I9JwPz2_dQLugVpjnOyQW7ClMcoTiCMLx4vkpRguMkQSmiqEIxQkkWlVUesYzCIk_YBb9CEEUhCmOYhxiFs6SKIojKJKqKBIUEBRFkNeFi5l-SUnp14d-iuAoRdCoEKZgw_p8DEOpeZUFBfHuhr7xRRbsyQQQFN9aMPVhuhf-HAhf1QXwbxNf9fnJ8u_fuQ_dmBjOAy1fPFKcPMi9aLa5-_pWQ3p6XK_SfAAAA__9YAL6M">