<table border="1" cellspacing="0" cellpadding="8">
<tr>
<th>Issue</th>
<td>
<a href=https://github.com/llvm/llvm-project/issues/73190>73190</a>
</td>
</tr>
<tr>
<th>Summary</th>
<td>
[mlir] --sccp crashed with assertion failure "expected the same number of elements"
</td>
</tr>
<tr>
<th>Labels</th>
<td>
mlir
</td>
</tr>
<tr>
<th>Assignees</th>
<td>
</td>
</tr>
<tr>
<th>Reporter</th>
<td>
anonymousMCS
</td>
</tr>
</table>
<pre>
git version: 48f5855e4c48709d71d7aae4595232a3296c735e
system: Ubuntu 20.04.6 LTS (Focal Fossa)
reproduced with: ```mlir-opt --sccp a.mlir```
a.mlir:
```
func.func @func1() {
%cst = arith.constant 4.339200e+04 : f16
%cst_2 = arith.constant 2.10361728E+9 : f32
%c0 = arith.constant 0 : index
%c12 = arith.constant 12 : index
%c20 = arith.constant 20 : index
%c21 = arith.constant 21 : index
%4 = tensor.empty() : tensor<18xi32>
%splat = tensor.splat %cst : tensor<18x29x17xf16>
// invalid operation: tosa.reverse, input shape and output shape should be came.
%60 = tosa.reverse %splat {axis = 0 : i32} : (tensor<18x29x17xf16>) -> tensor<1x29x17xf16>
vector.warp_execute_on_lane_0(%c0)[32] {
%generated = tensor.generate %c12, %c20 {
^bb0(%arg1: index, %arg2: index, %arg3: index):
tensor.yield %cst_2 : f32
} : tensor<?x?x17xf32>
}
%76 = tensor.empty() : tensor<18xi32>
%mapped = linalg.map ins(%4, %4, %4 : tensor<18xi32>, tensor<18xi32>, tensor<18xi32>) outs(%76 : tensor<18xi32>)
(%in: i32, %in_31: i32, %in_32: i32) {
memref.alloca_scope {
%expanded = tensor.expand_shape %60 [[0], [1], [2, 3]] : tensor<1x29x17xf16> into tensor<1x29x17x1xf16>
}
%c0_i32 = arith.constant 0 : i32
linalg.yield %c0_i32 : i32
}
return
}
```
trace:
```
mlir-opt: /data/bin/llvm-project/mlir/lib/IR/BuiltinAttributes.cpp:1236: mlir::DenseElementsAttr mlir::DenseElementsAttr::reshape(mlir::ShapedType): Assertion `newType.getNumElements() == curType.getNumElements() && "expected the same number of elements"' 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/bin/llvm-project/build/bin/mlir-opt --sccp a.mlir
#0 0x0000560f33c3c07f llvm::sys::PrintStackTrace(llvm::raw_ostream&, int) (/data/bin/llvm-project/build/bin/mlir-opt+0x160207f)
#1 0x0000560f33c390d4 SignalHandler(int) Signals.cpp:0:0
#2 0x00007f4fc294e420 __restore_rt (/lib/x86_64-linux-gnu/libpthread.so.0+0x14420)
#3 0x00007f4fc243900b raise (/lib/x86_64-linux-gnu/libc.so.6+0x4300b)
#4 0x00007f4fc2418859 abort (/lib/x86_64-linux-gnu/libc.so.6+0x22859)
#5 0x00007f4fc2418729 (/lib/x86_64-linux-gnu/libc.so.6+0x22729)
#6 0x00007f4fc2429fd6 (/lib/x86_64-linux-gnu/libc.so.6+0x33fd6)
#7 0x0000560f36985c00 mlir::DenseElementsAttr::reshape(mlir::ShapedType) (/data/bin/llvm-project/build/bin/mlir-opt+0x434bc00)
#8 0x0000560f3594f2cd mlir::tensor::ExpandShapeOp::fold(mlir::tensor::ExpandShapeOpGenericAdaptor<llvm::ArrayRef<mlir::Attribute>>) (/data/bin/llvm-project/build/bin/mlir-opt+0x33152cd)
#9 0x0000560f358e6e59 mlir::LogicalResult llvm::detail::UniqueFunctionBase<mlir::LogicalResult, mlir::Operation*, llvm::ArrayRef<mlir::Attribute>, llvm::SmallVectorImpl<mlir::OpFoldResult>&>::CallImpl<mlir::Op<mlir::tensor::ExpandShapeOp, mlir::OpTrait::ZeroRegions, mlir::OpTrait::OneResult, mlir::OpTrait::OneTypedResult<mlir::RankedTensorType>::Impl, mlir::OpTrait::ZeroSuccessors, mlir::OpTrait::OneOperand, mlir::OpTrait::OpInvariants, mlir::BytecodeOpInterface::Trait, mlir::OpAsmOpInterface::Trait, mlir::ConditionallySpeculatable::Trait, mlir::OpTrait::AlwaysSpeculatableImplTrait, mlir::MemoryEffectOpInterface::Trait>::getFoldHookFn()::'lambda'(mlir::Operation*, llvm::ArrayRef<mlir::Attribute>, llvm::SmallVectorImpl<mlir::OpFoldResult>&) const>(void*, mlir::Operation*, llvm::ArrayRef<mlir::Attribute>, llvm::SmallVectorImpl<mlir::OpFoldResult>&) (/data/bin/llvm-project/build/bin/mlir-opt+0x32ace59)
#10 0x0000560f358f711d mlir::RegisteredOperationName::Model<mlir::tensor::ExpandShapeOp>::foldHook(mlir::Operation*, llvm::ArrayRef<mlir::Attribute>, llvm::SmallVectorImpl<mlir::OpFoldResult>&) (/data/bin/llvm-project/build/bin/mlir-opt+0x32bd11d)
#11 0x0000560f36a398a2 mlir::Operation::fold(llvm::ArrayRef<mlir::Attribute>, llvm::SmallVectorImpl<mlir::OpFoldResult>&) (/data/bin/llvm-project/build/bin/mlir-opt+0x43ff8a2)
#12 0x0000560f367f9f51 mlir::dataflow::SparseConstantPropagation::visitOperation(mlir::Operation*, llvm::ArrayRef<mlir::dataflow::Lattice<mlir::dataflow::ConstantValue> const*>, llvm::ArrayRef<mlir::dataflow::Lattice<mlir::dataflow::ConstantValue>*>) (/data/bin/llvm-project/build/bin/mlir-opt+0x41bff51)
#13 0x0000560f36813065 mlir::dataflow::AbstractSparseForwardDataFlowAnalysis::visitOperation(mlir::Operation*) (/data/bin/llvm-project/build/bin/mlir-opt+0x41d9065)
#14 0x0000560f368133bd mlir::dataflow::AbstractSparseForwardDataFlowAnalysis::initializeRecursively(mlir::Operation*) (/data/bin/llvm-project/build/bin/mlir-opt+0x41d93bd)
#15 0x0000560f368134e4 mlir::dataflow::AbstractSparseForwardDataFlowAnalysis::initializeRecursively(mlir::Operation*) (/data/bin/llvm-project/build/bin/mlir-opt+0x41d94e4)
#16 0x0000560f368134e4 mlir::dataflow::AbstractSparseForwardDataFlowAnalysis::initializeRecursively(mlir::Operation*) (/data/bin/llvm-project/build/bin/mlir-opt+0x41d94e4)
#17 0x0000560f368134e4 mlir::dataflow::AbstractSparseForwardDataFlowAnalysis::initializeRecursively(mlir::Operation*) (/data/bin/llvm-project/build/bin/mlir-opt+0x41d94e4)
#18 0x0000560f368134e4 mlir::dataflow::AbstractSparseForwardDataFlowAnalysis::initializeRecursively(mlir::Operation*) (/data/bin/llvm-project/build/bin/mlir-opt+0x41d94e4)
#19 0x0000560f367c39b5 mlir::DataFlowSolver::initializeAndRun(mlir::Operation*) (/data/bin/llvm-project/build/bin/mlir-opt+0x41899b5)
#20 0x0000560f368838b8 (anonymous namespace)::SCCP::runOnOperation() SCCP.cpp:0:0
#21 0x0000560f3682dcfe mlir::detail::OpToOpPassAdaptor::run(mlir::Pass*, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int) (/data/bin/llvm-project/build/bin/mlir-opt+0x41f3cfe)
#22 0x0000560f3682e1da mlir::detail::OpToOpPassAdaptor::runPipeline(mlir::OpPassManager&, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int, mlir::PassInstrumentor*, mlir::PassInstrumentation::PipelineParentInfo const*) (/data/bin/llvm-project/build/bin/mlir-opt+0x41f41da)
#23 0x0000560f3682ea04 mlir::PassManager::run(mlir::Operation*) (/data/bin/llvm-project/build/bin/mlir-opt+0x41f4a04)
#24 0x0000560f3681f773 performActions(llvm::raw_ostream&, std::shared_ptr<llvm::SourceMgr> const&, mlir::MLIRContext*, mlir::MlirOptMainConfig const&) MlirOptMain.cpp:0:0
#25 0x0000560f36820c44 processBuffer(llvm::raw_ostream&, std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, mlir::MlirOptMainConfig const&, mlir::DialectRegistry&, llvm::ThreadPool*) MlirOptMain.cpp:0:0
#26 0x0000560f36820df4 mlir::LogicalResult llvm::function_ref<mlir::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&)::'lambda'(std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, llvm::raw_ostream&)>(long, std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, llvm::raw_ostream&) MlirOptMain.cpp:0:0
#27 0x0000560f369200e4 mlir::splitAndProcessBuffer(std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, llvm::function_ref<mlir::LogicalResult (std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, llvm::raw_ostream&)>, llvm::raw_ostream&, bool, bool) (/data/bin/llvm-project/build/bin/mlir-opt+0x42e60e4)
#28 0x0000560f36819657 mlir::MlirOptMain(llvm::raw_ostream&, std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, mlir::DialectRegistry&, mlir::MlirOptMainConfig const&) (/data/bin/llvm-project/build/bin/mlir-opt+0x41df657)
#29 0x0000560f36820f41 mlir::MlirOptMain(int, char**, llvm::StringRef, llvm::StringRef, mlir::DialectRegistry&) (/data/bin/llvm-project/build/bin/mlir-opt+0x41e6f41)
#30 0x0000560f368213a6 mlir::MlirOptMain(int, char**, llvm::StringRef, mlir::DialectRegistry&) (/data/bin/llvm-project/build/bin/mlir-opt+0x41e73a6)
#31 0x0000560f33b7364b main (/data/bin/llvm-project/build/bin/mlir-opt+0x153964b)
#32 0x00007f4fc241a083 __libc_start_main (/lib/x86_64-linux-gnu/libc.so.6+0x24083)
#33 0x0000560f33c0c3de _start (/data/bin/llvm-project/build/bin/mlir-opt+0x15d23de)
Aborted (core dumped)
```
</pre>
<img width="1px" height="1px" alt="" src="http://email.email.llvm.org/o/eJzcWt9z27iP_2uUF049FKmfD3lwfvi-nWk2maS7D_fioUjI4ZUmdSSVxPfX31CSbclx0rRpd7udaWObBEB8ABCAKDLn5EoDnEbpWZRenLDW3xt7yrTRm7Vp3dX53UllxOZ0JT16AOuk0RGdo6So0yJNIeFJkeNS5LHIGYMkLVNCCaOkzHhOU4jwRYTn_V-3cR7WgfvPqtW-RQTPcDLL0KfPdygixcJwptDCOMciUo45LTTWiJaDQI_S3wcRUYb7f2sl7QfTePThg-O8QWwWRnbTYzHDFB1-HtDUreaz8AdFCQ6fcUSKiJQoys96CoQiknLnUUQvELPS38-40c4z7VEyo7QkGENEznCCgop1nE35luQYJ5nFmGZxTorLiJyVPSslY1Z8jA93lFILeBrTxkcX6UaPUJOjoskLskl8lDo-Sp10tB60M3YG68Zvtvak82E4oudx8SQpiejliNM1ivkx9zCwNf6UnZRPcf4UjD0SshO2iMgCSf3AlBTINGCZH0LYG8dmFkJQQ0TOkdRN65G7Zw0gpgUyrd8PuHvTKoEqQJytYTZSNustOJY2wpCfsSfpOorBppRE-UX3NSLFizhIiT5E9HIE9DWcD8C9sbNHZpslPAFvPSyNXiqmYYk7q6cchz2VnlESpRfjkO5ArEAHy4AYW307OIRVsNE2ZCbs6WVVDaswu4r3sdAzMLsiR8boaKzc7cnt2hsJSoy3zWRPILS14c4-EV08hf_BRNN4yi9G3sqz747KNWuawUBKaqZWszVrkNSuh54M0HafL0kk598wWoYwHFbodD8ushx7M9BKvQ22XhuplzR-PkR2Q-M0t4a1hXrGlDKcLR03DaCpz4ewgaeGaTGNmn5s2W-bYX-E2nKGo_SiWzo9i_dfO21o-J0eeHQa8Uhqb55PxgcbYoiN4WcX90tJj6bE_X4c8Q6e3Yffln1MOQopC761etiHu_Gj1cdbxuGl4rOtYn1eWAjmWUQWldQRWSj1sP7QWPM_wH1EFl0NIwslq4gsPt5GZHHWSuWlnntvZdV6cDPeNBGdx4RmQeC26tH5BWgHlwrWoL0L9K_N9cMWOldGpNiT3oUR8XkThsPeRXPnwIbEGuqyhscwNVuB_6NdbyXuttlF8AVv7Ss0JItIhiJC4KkBHtKSvwfk2BqQbtcVWGRqBDsmEpEc1UwqEENmvvl0Ob-7RK6t1tIjhqp2hSw0xnrkDbr3vnEBSVcdVtLft9WMm_Vg6-cml8614EIlCYVBaq5aAZ1O3DJ3jyrGv3TuHZa_84x_QaJdNzt_41kfYDfWrCxbI2ZXba_-1z1etVKJ3eQLDc824ilG-AljjNMM15RyynFeow5X5zu3cf2XGyu17zT93EUmKfZElj0ujfMW2LpzRqiOvndN8V3Khq7oKc4wwXm9T1cRofGBtiUWCbqTK83Uf5gWCmxEimHxfngb3bj7vxNEBkF5ndSclAkkBKPl0oLzxsLS-kH3ft88FdkySz4oqdunDyvd9hONv7fAxMyZGe41ThKCJ_rSyTIJLTGukGWyq_pfk8-D5KyTnFCMq4nkZCo5Loq0RKwyb9J8JJmQIi0nktNDyfnOk2-WmZOpzGwqk5S1yL5NJqW1yCYy83EsZGWRcox_QIJ6X9AmNKk4ngZBMVY0LZOacDFSdFulwvfLrhx2-lw3_VBtwlrFG-j_K3Rgks8Fa3xX9vY7dG4t29xCHdHzvaBdBQgVsW8f3oWd0jglXEywlxPsBWSQliPsn8xKcqZuwbXKj9KOAM-k6r__qeX_trBoNQ8l44w5mKCYiAi5Zz91vWvgyTzMfIs9JuR3a6bUX13b_HHdqAnXdbMwSgzLB8auweimzplSR-gnP1_2_gGUz5ZJ3__4b7DmFlbShG7yRaprDceNMqUJYb9Tf6TYLdNfQHzu1Ou2xhZVh-h15e5azsE5Y7-iX-cgLV4jaj7qB2Yl60r3mOxs44EbAYHCg62HdonOe-4DkXO3fgvhudFChohhSm3uGuCtYp5V6jXRI23n6pFt3JgvGOsI1xWsjd1c1jVw_4JeW3OvwIcA-48xXxa6b3n6iYjkiq0rwSKSTxLEPxX2pERdu9z9LB6MFIMCv4Rq70tthHEY1cnQiuBpaqvzOB6n9bBBnQcLYgf6D7YeXHxlBKg35oFtINRDFPwqvn6nQSsRx2Ji0ElzlzFaFowcjZ1xXfy3AE5oXReMTACTCeC8Lus0HgEOK9XKPA76Nsw6OB-eR2-sadhqZI4H6aQfRcP3x8h02U_Me8nhFYqtSn8x1QYzD0mAzJ-Z_Kcst13ovf6Jq7pO44l_6MQ_RUxxlr7on3nlwkOd7_20MPaRWXHBPFso8zjXTG2cdN_oq3djEiXO0gmm5BATrcSPwCS19JIp-X9wC7y1Tj6A2vxcaLSa5o_0EFoCyb8UWgLJBFr2-0LLf19oxe8LrZyWLk7Lapwat3rfGfUA9lDruRa37U_Ne0VZVpO8R_DUFwUtqiKssnt3iTRbg2u6s62hw747P78ZTg1afa3HGbs7YDo_v3l-uhQWm3YyBRG8hrHjR0-3181nc93cMOd2z-3DghP7BIKvdtOjtmeIlyum2QpsmKyM6R7bWt29wxU_5IwuiWvKa5hYmhyAh1iwbwZ_IxtQUsNBkATSHabsh1tjzBSW-qidt93Bq7HPpE4JRq3YVvcbZkH7j7o2-5boBxg8iQWbGJweGpzh5EDPLfKjsfWD916dMDxJFuSw56jznKIGbG3set6d6rivnCc7L_opd88siGXjp-dbd6a1HK5WdtR_HoTH1aePt-dGe3jyz1x5paS9bvwVk_rc6FquRjJKNJo9vt0PGg-CeZKgxhoOzp21dd2dSr8JXtuddT2D1x8XbEWN6AXUrFV-KUBBeMZ5iWc44Hsr5jHdhWQKuO8fZ-1mmN-v87k7BL_p9tP8TebKDs0l6uQNZ4L1cAK4tAdPEFOGiBR_nzlfdmq5e27nTKmK8S_LWk_UHtnpFwyP425_45Y5ekD1y3iFFMro1d9r2FdU-vqGOXjTQTCe9JGuUdLPtbg5yDj_BLp_4SZ9lWLfKfSf762OBDI8baXJ4VNCmaX58Y32u6WJdz-W1FmaT2xZHpaWOolftOXQ8vF71jd3B4djd95KvbqF-pXh1w3xboCQ1cnkSIoePMaQmLLshwD82UhyyrIJkumr_CqnWVKhNZP6nbcGUlpmSTVZihy80Wa4oGi5VLLiS-eZ9cvRum99x53ggk5WodO7CZhTAaiX_15IglCxf8iaV8Z2l-9IwY2F7uYIjI7CtneFTsQpFSUt2QmcxjnGOaYZTU7uT4s0ZZSUSc3jLM2JYHlOWJYBj0VZ1LQ4kacEExrHhOI4wTSZUVxVRV4ltKx4CqKKEgxrJtUsoJgZuzrpLr2c5jQu8YliFSjXXRImpL-ARKL04sSedqCrduWiBCvpvNsL8NKr7mJxx5BebC-sdHdmhqu8iO1uDtVMqtbCN1z7OWmtOv3-yzwdtP8PAAD__-_upTk">