usamec opened a new issue, #12929:
URL: https://github.com/apache/tvm/issues/12929

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   ### Expected behavior
   
   Sparse matmul tuning using 
https://tvm.apache.org/docs/how_to/tune_with_autoscheduler/tune_sparse_x86.html#sphx-glr-how-to-tune-with-autoscheduler-tune-sparse-x86-py
 and `sparse_lhs=True` and `N=M=K=256` would work.
   
   ### Actual behavior
   
   ```
   --> 498 _ffi_api.AutoSchedule(search_policy, tuning_options)
   
   File tvm/_ffi/_cython/./packed_func.pxi:331, in 
tvm._ffi._cy3.core.PackedFuncBase.__call__()
   
   File tvm/_ffi/_cython/./packed_func.pxi:262, in tvm._ffi._cy3.core.FuncCall()
   
   File tvm/_ffi/_cython/./packed_func.pxi:251, in 
tvm._ffi._cy3.core.FuncCall3()
   
   File tvm/_ffi/_cython/./base.pxi:181, in tvm._ffi._cy3.core.CHECK_CALL()
   
   TVMError: Traceback (most recent call last):
     7: TVMFuncCall
     6: 
_ZN3tvm7runtime13PackedFuncObj9ExtractorINS0_16PackedFuncSubObjIZNS0_15TypedPackedFuncIFNS0_5ArrayINS0_9ObjectRefEvEENS_14auto_scheduler12SearchPolicyENS8_13TuningOptionsEEE17AssignTypedLambdaINS8_L9__mk_TVM3MUlS9_SA_E_EEEvT_SsEUlRKNS0_7TVMArgsEPNS0_11TVMRetValueEE_EEE4CallEPKS1_SG_SK_
     5: tvm::auto_scheduler::AutoSchedule(tvm::auto_scheduler::SearchPolicy, 
tvm::auto_scheduler::TuningOptions)
     4: tvm::auto_scheduler::SketchPolicyNode::Search(int, int, int, 
tvm::auto_scheduler::ProgramMeasurer)
     3: tvm::auto_scheduler::SketchPolicyNode::SearchOneRound(int, 
tvm::runtime::Array<tvm::auto_scheduler::State, void>*)
     2: 
tvm::auto_scheduler::SketchPolicyNode::SampleInitPopulation(tvm::runtime::Array<tvm::auto_scheduler::State,
 void> const&)
     1: tvm::support::parallel_for(int, int, std::function<void (int)> const&, 
int, std::function<std::vector<std::vector<int, std::allocator<int> >, 
std::allocator<std::vector<int, std::allocator<int> > > > (int, int, int, 
int)>) [clone .cold]
     0: _ZN3tvm7runtime6deta
     10: 0xffffffffffffffff
     9: __clone
     8: start_thread
           at /build/glibc-sMfBJT/glibc-2.31/nptl/pthread_create.c:477
     7: execute_native_thread_routine
     6: 
std::thread::_State_impl<std::thread::_Invoker<std::tuple<std::packaged_task<void
 (std::vector<int, std::allocator<int> > const&, std::function<void (int)> 
const&)>, std::vector<int, std::allocator<int> >, std::function<void (int)> > > 
>::_M_run()
     5: __pthread_once_slow
           at /build/glibc-sMfBJT/glibc-2.31/nptl/pthread_once.c:116
     4: 
_ZNSt13__future_base13_State_baseV29_M_do_setEPSt8functionIFSt10unique_ptrINS_12_Result_baseEN
     3: 
_ZNSt17_Function_handlerIFSt10unique_ptrINSt13__future_base12_Result_baseENS2_8_DeleterEEvENS1_12_Task_setterIS0_INS1_7_ResultIvEES3_EZNS
     2: std::_Function_handler<void (int), 
tvm::auto_scheduler::SketchPolicyNode::SampleInitPopulation(tvm::runtime::Array<tvm::auto_scheduler::State,
 void> const&)::{lambda(int)#1}>::_M_invoke(std::_Any_data const&, int&&)
     1: 
tvm::auto_scheduler::InitFillTileSize::Apply(tvm::auto_scheduler::SketchPolicyNode*,
 tvm::auto_scheduler::State*, std::mersenne_twister_engine<unsigned long, 32ul, 
624ul, 397ul, 31ul, 2567483615ul, 11ul, 4294967295ul, 7ul, 2636928640ul, 15ul, 
4022730752ul, 18ul, 1812433253ul>*) const
     0: _ZN3tvm7runtime6deta
     File "/workspace/tvm/src/support/parallel_for.cc", line 92
   TVMError: Parallel_for error with [18:20:06] 
/workspace/tvm/src/auto_scheduler/search_policy/sketch_policy_rules.cc:515: 
   ---------------------------------------------------------------
   An error occurred during the execution of TVM.
   For more information, please see: https://tvm.apache.org/docs/errors.html
   ---------------------------------------------------------------
     Check failed: (ps->extent) is false: 
   ```
   
   ### Environment
   
   ```
   pip freeze | grep tvm
   apache-tvm==0.9.0
   ```
   
   Running Linux (ubuntu 20.04) on Cascade Lake arch.
   
   
   ### Steps to reproduce
   
   Take 
https://tvm.apache.org/docs/how_to/tune_with_autoscheduler/tune_sparse_x86.html#sphx-glr-how-to-tune-with-autoscheduler-tune-sparse-x86-py
 and change `sparse_lhs=True` and `N=M=K=256`
   


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