Autoscheduler crashed in tvm v0.8.0

Hi, I noticed tvm just released v0.8 and did a simple auto-schedule search task of resnet18. However, I got the error below and have no idea what to do next.

Generate Sketches               #s: 1
Sample Iter: 5  #Pop: 5 #Target: 50     fail_ct: 10235  Time elapsed: 5.46
#Target has been reduced to 25 due to too many failures or duplications
Sample Iter: 10 #Pop: 5 #Target: 25     fail_ct: 20475  Time elapsed: 10.86
#Target has been reduced to 12 due to too many failures or duplications
Sample Iter: 15 #Pop: 5 #Target: 12     fail_ct: 30715  Time elapsed: 16.35
#Target has been reduced to 6 due to too many failures or duplications
Sample Iter: 20 #Pop: 5 #Target: 6      fail_ct: 40955  Time elapsed: 21.77
#Target has been reduced to 3 due to too many failures or duplications
Sample Initial Population       #s: 5   fail_ct: 43003  Time elapsed: 22.88
GA Iter: 0      Max score: 0.9754       Min score: 0.1451       #Pop: 5 #M+: 0  #M-: 0
GA Iter: 4      Max score: 0.9754       Min score: 0.0165       #Pop: 60        #M+: 1390       #M-: 0
EvolutionarySearch              #s: 60  Time elapsed: 4.15
----------------------------------------------------------------------
------------------------------  [ Measure ]
----------------------------------------------------------------------
Get 60 programs to measure:
............................................................Traceback (most recent call last):
  File "tools/tvm_auto_tune.py", line 518, in <module>
    graph, lib, params = tune_with_auto_scheduler(
  File "tools/tvm_auto_tune.py", line 220, in tune_with_auto_scheduler
    tuner.tune(tune_option)
  File "/usr/local/lib/python3.8/dist-packages/tvm-0.8.0-py3.8-linux-x86_64.egg/tvm/auto_scheduler/task_scheduler.py", line 357, in tune
    self._tune_task(idx)
  File "/usr/local/lib/python3.8/dist-packages/tvm-0.8.0-py3.8-linux-x86_64.egg/tvm/auto_scheduler/task_scheduler.py", line 452, in _tune_task
    measure_inputs, measure_results = self.search_policies[task_idx].continue_search_one_round(
  File "/usr/local/lib/python3.8/dist-packages/tvm-0.8.0-py3.8-linux-x86_64.egg/tvm/auto_scheduler/search_policy.py", line 119, in continue_search_one_round
    return _ffi_api.SearchPolicyContinueSearchOneRound(self, num_measure, measurer)
  File "tvm/_ffi/_cython/./packed_func.pxi", line 323, in tvm._ffi._cy3.core.PackedFuncBase.__call__
  File "tvm/_ffi/_cython/./packed_func.pxi", line 257, in tvm._ffi._cy3.core.FuncCall
  File "tvm/_ffi/_cython/./packed_func.pxi", line 246, in tvm._ffi._cy3.core.FuncCall3
  File "tvm/_ffi/_cython/./base.pxi", line 163, in tvm._ffi._cy3.core.CALL
tvm._ffi.base.TVMError: Traceback (most recent call last):
  6: TVMFuncCall
  5: std::_Function_handler<void (tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*), tvm::runtime::TypedPackedFunc<tvm::runtime::Array<tvm::runtime::ObjectRef, void> (tvm::auto_scheduler::SearchPolicy, int, tvm::auto_scheduler::ProgramMeasurer)>::AssignTypedLambda<tvm::auto_scheduler::{lambda(tvm::auto_scheduler::SearchPolicy, int, tvm::auto_scheduler::ProgramMeasurer)#2}>(tvm::auto_scheduler::{lambda(tvm::auto_scheduler::SearchPolicy, int, tvm::auto_scheduler::ProgramMeasurer)#2}, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)::{lambda(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue*)#1}>::_M_invoke(std::_Any_data const&, tvm::runtime::TVMArgs&&, tvm::runtime::TVMRetValue*&&)
  4: tvm::auto_scheduler::SketchPolicyNode::ContinueSearchOneRound(int, tvm::auto_scheduler::ProgramMeasurer)
  3: tvm::auto_scheduler::ProgramMeasurerNode::Measure(tvm::auto_scheduler::SearchTask const&, tvm::auto_scheduler::SearchPolicy const&, tvm::runtime::Array<tvm::auto_scheduler::MeasureInput, void> const&, int)
  2: tvm::auto_scheduler::ProgramMeasurerNode::SilentMeasure(tvm::auto_scheduler::SearchTask const&, tvm::runtime::Array<tvm::auto_scheduler::MeasureInput, void> const&, tvm::runtime::Array<tvm::auto_scheduler::MeasureResult, void>*)
  1: tvm::auto_scheduler::RPCRunnerNode::Run(tvm::runtime::Array<tvm::auto_scheduler::MeasureInput, void> const&, tvm::runtime::Array<tvm::auto_scheduler::BuildResult, void> const&, int)
  0: std::_Function_handler<void (tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*), TVMFuncCreateFromCFunc::{lambda(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)#2}>::_M_invoke(std::_Any_data const&, tvm::runtime::TVMArgs&&, tvm::runtime::TVMRetValue*&&) [clone .cold]
  File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
  File "/usr/local/lib/python3.8/dist-packages/tvm-0.8.0-py3.8-linux-x86_64.egg/tvm/auto_scheduler/measure.py", line 1302, in rpc_runner_run
    assert res.status == StatusKind.TIMEOUT
TVMError: AssertionError

Do you have a solution? I have encountered the same problem as you, it is useless to increase the Timeout