libtorch malloc cause coredump  
Labels: module: crash, module: cpp, triaged, module: static linking

### 🐛 Describe the bug

i use libtorch to inference, sometimes yes not always my code coredump with malloc segment fault, and use gdb to play the stack, it seems libtorch malloc failed. 
Program terminated with signal SIGSEGV, Segmentation fault.
#0 0x00007f1df8ef823b in malloc () from /usr/lib/x86_64-linux-gnu/libc.so.6
[Current thread is 1 (Thread 0x7f1c817fe000 (LWP 126))]
(gdb) bt
#0 0x00007f1df8ef823b in malloc () from /usr/lib/x86_64-linux-gnu/libc.so.6
#1 0x00007f1df9266b39 in operator new(unsigned long) () from /usr/lib/x86_64-linux-gnu/libstdc++.so.6
#2 0x00007f1df1a21c1c in void std::vector<torch::jit::Value*, std::allocator<torch::jit::Value*> >::emplace_back<torch::jit::Value*>(torch::jit::Value*&&) ()
from /opt/tritonserver/backends/pytorch/libtorch_cpu.so
#3 0x00007f1df1acffee in torch::jit::Node::addOutput() () from /opt/tritonserver/backends/pytorch/libtorch_cpu.so
#4 0x00007f1df1ad76c5 in torch::jit::Block::cloneFrom(torch::jit::Block*, std::function<torch::jit::Value* (torch::jit::Value*)>) () from /opt/tritonserver/backends/pytorch/libtorch_cpu.so
#5 0x00007f1df1ad7f84 in torch::jit::Graph::copy() () from /opt/tritonserver/backends/pytorch/libtorch_cpu.so
#6 0x00007f1df19a8724 in torch::jit::GraphFunction::get_executor() () from /opt/tritonserver/backends/pytorch/libtorch_cpu.so
#7 0x00007f1df19a579e in torch::jit::GraphFunction::run(std::vector<c10::IValue, std::allocator<c10::IValue> >&) () from /opt/tritonserver/backends/pytorch/libtorch_cpu.so
#8 0x00007f1df19a5c5e in torch::jit::GraphFunction::operator()(std::vector<c10::IValue, std::allocator<c10::IValue> >, std::unordered_map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, c10::IValue, std::hash<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::equal_to<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, c10::IValue> > > const&) ()
from /opt/tritonserver/backends/pytorch/libtorch_cpu.so
#9 0x00007f1df19b84bb in torch::jit::Method::operator()(std::vector<c10::IValue, std::allocator<c10::IValue> >, std::unordered_map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, c10::IValue, std::hash<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::equal_to<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, c10::IValue> > > const&) const ()
from /opt/tritonserver/backends/pytorch/libtorch_cpu.so
#10 0x00007f1d40126f5d in triton::backend::pytorch::ModelInstanceState::Execute(std::vector<TRITONBACKEND_Response*, std::allocator<TRITONBACKEND_Response*> >*, unsigned int, std::vector<c10::IValue, std::allocator<c10::IValue> >*, std::vector<at::Tensor, std::allocator<at::Tensor> >*) () from /opt/tritonserver/backends/pytorch/libtriton_pytorch.so
#11 0x00007f1d4012d255 in triton::backend::pytorch::ModelInstanceState::ProcessRequests(TRITONBACKEND_Request**, unsigned int) ()
from /opt/tritonserver/backends/pytorch/libtriton_pytorch.so
#12 0x00007f1d4012eaa4 in TRITONBACKEND_ModelInstanceExecute () from /opt/tritonserver/backends/pytorch/libtriton_pytorch.so
#13 0x00007f1df80b0faa in nvidia::inferenceserver::TritonModelInstance::Execute(std::vector<TRITONBACKEND_Request*, std::allocator<TRITONBACKEND_Request*> >&) ()
from /opt/tritonserver/lib/libtritonserver.so
#14 0x00007f1df80b1857 in nvidia::inferenceserver::TritonModelInstance::Schedule(std::vector<std::unique_ptr<nvidia::inferenceserver::InferenceRequest, std::default_delete<nvidia::inferenceserver::InferenceRequest> >, std::allocator<std::unique_ptr<nvidia::inferenceserver::InferenceRequest, std::default_delete<nvidia::inferenceserver::InferenceRequest> > > >&&, std::function<void ()> const&) () from /opt/tritonserver/lib/libtritonserver.so
#15 0x00007f1df7f5ccc1 in nvidia::inferenceserver::Payload::Execute(bool*) () from /opt/tritonserver/lib/libtritonserver.so
#16 0x00007f1df80ab4f7 in nvidia::inferenceserver::TritonModelInstance::TritonBackendThread::BackendThread(int, int) () from /opt/tritonserver/lib/libtritonserver.so
#17 0x00007f1df9292de4 in ?? () from /usr/lib/x86_64-linux-gnu/libstdc++.so.6
#18 0x00007f1df9d0c609 in start_thread (arg=<optimized out>) at pthread_create.c:477
#19 0x00007f1df8f7d163 in clone () from /usr/lib/x86_64-linux-gnu/libc.so.6  

### Versions

pytorch 1.11

cc @jbschlosser