<table border="1" cellspacing="0" cellpadding="8">
<tr>
<th>Issue</th>
<td>
<a href=https://github.com/llvm/llvm-project/issues/131446>131446</a>
</td>
</tr>
<tr>
<th>Summary</th>
<td>
[MLIR] `-test-linalg-elementwise-fusion-patterns` crashed: Assertion Failure `op->use_empty() && "expected 'op' to have no uses"
</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: [bbd1bb4](https://github.com/llvm/llvm-project/commit/bbd1bb40573dd5a36dc04af4ad307d6e16456f89)
step to reproduce:
```
mlir-opt test.mlir --test-linalg-elementwise-fusion-patterns=fuse-multiuse-producer
```
test case:
```
#map = affine_map<(d0, d1, d2, d3) -> (d0, d1, d2, d3)>
module {
func.func @avgpool2d_pad_top(%arg0: tensor<1x32x32x8xf32>) -> tensor<1x32x32x8xf32> attributes {llvm.emit_c_interface} {
%0 = llvm.mlir.constant(0.000000e+00 : f32) : f32
%1 = llvm.mlir.constant(31 : index) : i64
%11 = tensor.empty() : tensor<1x32x32x8xf32>
%12 = tensor.empty() : tensor<1x32x32x8xindex>
%13:2 = linalg.generic {indexing_maps = [#map, #map, #map], iterator_types = ["parallel", "parallel", "parallel", "parallel"]} ins(%arg0 : tensor<1x32x32x8xf32>) outs(%11, %12 : tensor<1x32x32x8xf32>, tensor<1x32x32x8xindex>) {
^bb0(%in: f32, %out: f32, %out_0: index):
%59 = linalg.index 1 : index
linalg.yield %0, %59 : f32, index
} -> (tensor<1x32x32x8xf32>, tensor<1x32x32x8xindex>)
%14 = tensor.empty() : tensor<1x32x32x8xi64>
%15:2 = linalg.generic {indexing_maps = [#map, #map, #map, #map], iterator_types = ["parallel", "parallel", "parallel", "parallel"]} ins(%arg0, %13#1 : tensor<1x32x32x8xf32>, tensor<1x32x32x8xindex>) outs(%11, %14 : tensor<1x32x32x8xf32>, tensor<1x32x32x8xi64>) {
^bb0(%in: f32, %in_0: index, %out: f32, %out_1: i64):
%59 = builtin.unrealized_conversion_cast %in_0 : index to i64
linalg.yield %0, %59 : f32, i64
} -> (tensor<1x32x32x8xf32>, tensor<1x32x32x8xi64>)
%16 = tensor.empty() : tensor<1x32x32x8xi64>
%17:2 = linalg.generic {indexing_maps = [#map, #map, #map, #map, #map], iterator_types = ["parallel", "parallel", "parallel", "parallel"]} ins(%arg0, %13#1, %15#1 : tensor<1x32x32x8xf32>, tensor<1x32x32x8xindex>, tensor<1x32x32x8xi64>) outs(%11, %16 : tensor<1x32x32x8xf32>, tensor<1x32x32x8xi64>) {
^bb0(%in: f32, %in_0: index, %in_1: i64, %out: f32, %out_2: i64):
%59 = llvm.sub %1, %in_1 : i64
linalg.yield %0, %59 : f32, i64
} -> (tensor<1x32x32x8xf32>, tensor<1x32x32x8xi64>)
return %17 : tensor<1x32x32x8xf32>
}
}
```
Crash backtrace:
```
mlir-opt: /home/workdir/llvm-project/mlir/lib/IR/PatternMatch.cpp:153: virtual void mlir::RewriterBase::eraseOp(Operation *): Assertion `op->use_empty() && "expected 'op' to have no uses"' failed.
PLEASE submit a bug report to https://github.com/llvm/llvm-project/issues/ and include the crash backtrace.
Stack dump:
0. Program arguments: /home/workdir/llvm-project/build/bin/./mlir-opt test.mlir --test-linalg-elementwise-fusion-patterns=fuse-multiuse-producer
#0 0x000055e23f46a158 llvm::sys::PrintStackTrace(llvm::raw_ostream&, int) (/home/workdir/llvm-project/build/bin/./mlir-opt+0x12d3158)
#1 0x000055e23f467c7e llvm::sys::RunSignalHandlers() (/home/workdir/llvm-project/build/bin/./mlir-opt+0x12d0c7e)
#2 0x000055e23f46ab61 SignalHandler(int, siginfo_t*, void*) Signals.cpp:0:0
#3 0x00007fe5c93a3520 (/lib/x86_64-linux-gnu/libc.so.6+0x42520)
#4 0x00007fe5c93f79fc pthread_kill (/lib/x86_64-linux-gnu/libc.so.6+0x969fc)
#5 0x00007fe5c93a3476 gsignal (/lib/x86_64-linux-gnu/libc.so.6+0x42476)
#6 0x00007fe5c93897f3 abort (/lib/x86_64-linux-gnu/libc.so.6+0x287f3)
#7 0x00007fe5c938971b (/lib/x86_64-linux-gnu/libc.so.6+0x2871b)
#8 0x00007fe5c939ae96 (/lib/x86_64-linux-gnu/libc.so.6+0x39e96)
#9 0x000055e242713fcf (/home/workdir/llvm-project/build/bin/./mlir-opt+0x457cfcf)
#10 0x000055e242741813 (anonymous namespace)::TestMultiUseProducerFusion::matchAndRewrite(mlir::linalg::GenericOp, mlir::PatternRewriter&) const TestLinalgElementwiseFusion.cpp:0:0
#11 0x000055e244d13622 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&)>)::$_0>(long) PatternApplicator.cpp:0:0
#12 0x000055e244d1031f mlir::PatternApplicator::matchAndRewrite(mlir::Operation*, mlir::PatternRewriter&, llvm::function_ref<bool (mlir::Pattern const&)>, llvm::function_ref<void (mlir::Pattern const&)>, llvm::function_ref<llvm::LogicalResult (mlir::Pattern const&)>) (/home/workdir/llvm-project/build/bin/./mlir-opt+0x6b7931f)
#13 0x000055e2425e101a (anonymous namespace)::GreedyPatternRewriteDriver::processWorklist() GreedyPatternRewriteDriver.cpp:0:0
#14 0x000055e2425dd863 mlir::applyPatternsGreedily(mlir::Region&, mlir::FrozenRewritePatternSet const&, mlir::GreedyRewriteConfig, bool*) (/home/workdir/llvm-project/build/bin/./mlir-opt+0x4446863)
#15 0x000055e242740295 (anonymous namespace)::TestLinalgElementwiseFusion::runOnOperation() TestLinalgElementwiseFusion.cpp:0:0
#16 0x000055e2425638a3 mlir::detail::OpToOpPassAdaptor::run(mlir::Pass*, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int) (/home/workdir/llvm-project/build/bin/./mlir-opt+0x43cc8a3)
#17 0x000055e242564142 mlir::detail::OpToOpPassAdaptor::runPipeline(mlir::OpPassManager&, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int, mlir::PassInstrumentor*, mlir::PassInstrumentation::PipelineParentInfo const*) (/home/workdir/llvm-project/build/bin/./mlir-opt+0x43cd142)
#18 0x000055e24256a58e auto void mlir::parallelForEach<__gnu_cxx::__normal_iterator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo*, std::vector<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo, std::allocator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo>>>, mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::$_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)::$_0&&)::'lambda'(__gnu_cxx::__normal_iterator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo*, std::vector<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo, std::allocator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo>>>&&)::operator()<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo&>(__gnu_cxx::__normal_iterator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo*, std::vector<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo, std::allocator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo>>>&&) const Pass.cpp:0:0
#19 0x000055e24256599b mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool) (/home/workdir/llvm-project/build/bin/./mlir-opt+0x43ce99b)
#20 0x000055e2425639fc mlir::detail::OpToOpPassAdaptor::run(mlir::Pass*, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int) (/home/workdir/llvm-project/build/bin/./mlir-opt+0x43cc9fc)
#21 0x000055e242564142 mlir::detail::OpToOpPassAdaptor::runPipeline(mlir::OpPassManager&, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int, mlir::PassInstrumentor*, mlir::PassInstrumentation::PipelineParentInfo const*) (/home/workdir/llvm-project/build/bin/./mlir-opt+0x43cd142)
#22 0x000055e24256691e mlir::PassManager::run(mlir::Operation*) (/home/workdir/llvm-project/build/bin/./mlir-opt+0x43cf91e)
#23 0x000055e24255ee9b performActions(llvm::raw_ostream&, std::shared_ptr<llvm::SourceMgr> const&, mlir::MLIRContext*, mlir::MlirOptMainConfig const&) MlirOptMain.cpp:0:0
#24 0x000055e24255eaf3 llvm::LogicalResult llvm::function_ref<llvm::LogicalResult (std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, llvm::raw_ostream&)>::callback_fn<mlir::MlirOptMain(llvm::raw_ostream&, std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, mlir::DialectRegistry&, mlir::MlirOptMainConfig const&)::$_0>(long, std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, llvm::raw_ostream&) MlirOptMain.cpp:0:0
#25 0x000055e24260a065 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+0x4473065)
#26 0x000055e242558752 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+0x43c1752)
#27 0x000055e242558a03 mlir::MlirOptMain(int, char**, llvm::StringRef, llvm::StringRef, mlir::DialectRegistry&) (/home/workdir/llvm-project/build/bin/./mlir-opt+0x43c1a03)
#28 0x000055e242558c12 mlir::MlirOptMain(int, char**, llvm::StringRef, mlir::DialectRegistry&) (/home/workdir/llvm-project/build/bin/./mlir-opt+0x43c1c12)
#29 0x000055e23f4498df main (/home/workdir/llvm-project/build/bin/./mlir-opt+0x12b28df)
#30 0x00007fe5c938ad90 (/lib/x86_64-linux-gnu/libc.so.6+0x29d90)
#31 0x00007fe5c938ae40 __libc_start_main (/lib/x86_64-linux-gnu/libc.so.6+0x29e40)
#32 0x000055e23f449435 _start (/home/workdir/llvm-project/build/bin/./mlir-opt+0x12b2435)
Aborted (core dumped)
```
</pre>
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