jcf94 opened a new pull request #6557: URL: https://github.com/apache/incubator-tvm/pull/6557
Bug fix for https://github.com/apache/incubator-tvm/issues/6548. From the error log: ```python E tvm._ffi.base.TVMError: Traceback (most recent call last): E [bt] (7) /workspace/build/libtvm.so(TVMFuncCall+0x65) [0x7f2cdb26bfb5] E [bt] (6) /workspace/build/libtvm.so(+0x4e4dcf) [0x7f2cda602dcf] E [bt] (5) /workspace/build/libtvm.so(tvm::auto_scheduler::AutoSchedule(tvm::auto_scheduler::SearchPolicy, tvm::auto_scheduler::TuningOptions)+0x116) [0x7f2cda6021a6] E [bt] (4) /workspace/build/libtvm.so(tvm::auto_scheduler::SketchPolicyNode::Search(int, int, int, tvm::auto_scheduler::ProgramMeasurer)+0x214) [0x7f2cda698f64] E [bt] (3) /workspace/build/libtvm.so(tvm::auto_scheduler::SketchPolicyNode::SearchOneRound(int, tvm::runtime::Array<tvm::auto_scheduler::State, void>*)+0x19f) [0x7f2cda6987ff] E [bt] (2) /workspace/build/libtvm.so(tvm::auto_scheduler::SketchPolicyNode::SampleInitPopulation(tvm::runtime::Array<tvm::auto_scheduler::State, void> const&, int)+0x1fb) [0x7f2cda69395b] E [bt] (1) /workspace/build/libtvm.so(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)>)+0x11e8) [0x7f2cdac2b9f8] E [bt] (0) /workspace/build/libtvm.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x82) [0x7f2cda606ac2] E [bt] (8) /workspace/build/libtvm.so(+0x5756da) [0x7f2cda6936da] E [bt] (7) /workspace/build/libtvm.so(tvm::auto_scheduler::InitChangeComputeLocation::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+0x22d) [0x7f2cda6a1ccd] E [bt] (6) /workspace/build/libtvm.so(tvm::auto_scheduler::ComputeDAG::InferBound(tvm::auto_scheduler::State const&) const+0x253) [0x7f2cda61c783] E [bt] (5) /workspace/build/libtvm.so(tvm::auto_scheduler::ComputeDAG::ApplySteps(tvm::runtime::Array<tvm::auto_scheduler::Step, void> const&, tvm::runtime::Array<tvm::te::Stage, void>*, tvm::Map<tvm::te::Stage, tvm::runtime::Array<tvm::tir::IterVar, void>, tvm::runtime::ObjectHash, tvm::runtime::ObjectEqual>*, bool) const+0x5e5) [0x7f2cda61c265] E [bt] (4) /workspace/build/libtvm.so(tvm::auto_scheduler::StepApplyToSchedule(tvm::auto_scheduler::Step const&, tvm::runtime::Array<tvm::te::Stage, void>*, tvm::Map<tvm::te::Stage, tvm::runtime::Array<tvm::tir::IterVar, void>, tvm::runtime::ObjectHash, tvm::runtime::ObjectEqual>*, tvm::te::Schedule*, tvm::runtime::Array<tvm::auto_scheduler::Step, void> const&)+0x220) [0x7f2cda6d7170] E [bt] (3) /workspace/build/libtvm.so(tvm::auto_scheduler::SplitStepNode::ApplyToSchedule(tvm::runtime::Array<tvm::te::Stage, void>*, tvm::Map<tvm::te::Stage, tvm::runtime::Array<tvm::tir::IterVar, void>, tvm::runtime::ObjectHash, tvm::runtime::ObjectEqual>*) const+0x39) [0x7f2cda6d0d19] E [bt] (2) /workspace/build/libtvm.so(tvm::auto_scheduler::ApplySplitToSchedule(tvm::runtime::Array<tvm::te::Stage, void>*, tvm::Map<tvm::te::Stage, tvm::runtime::Array<tvm::tir::IterVar, void>, tvm::runtime::ObjectHash, tvm::runtime::ObjectEqual>*, int, int, tvm::runtime::Array<tvm::runtime::Optional<tvm::Integer>, void> const&, bool)+0xa6) [0x7f2cda6d0576] E [bt] (1) /workspace/build/libtvm.so(tvm::runtime::Array<tvm::tir::IterVar, void>::operator[](long) const+0xb6) [0x7f2cda626616] E [bt] (0) /workspace/build/libtvm.so(+0x4ef2c2) [0x7f2cda60d2c2] E File "/workspace/src/support/parallel_for.cc", line 92 E TVMError: Parallel_for error with [09:24:10] /workspace/include/tvm/runtime/container.h:683: Check failed: 0 <= i && i < p->size_: IndexError: indexing 4 on an array of size 4 ``` we can find that the error of the test was caused by the inferbound error. @merrymercy cc @tqchen @comaniac ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected]
