Cookiee235 opened a new issue, #17176:
URL: https://github.com/apache/tvm/issues/17176

   ### Actual behavior
   
   ```
   Traceback (most recent call last):
     File "demo.py", line 25, in <module>
       vm = relax.VirtualMachine(ex, tvm.cpu())
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
     File "/software/tvm/python/tvm/runtime/relax_vm.py", line 97, in __init__
       self._setup_device(device, memory_cfg)
     File "/software/tvm/python/tvm/runtime/relax_vm.py", line 133, in 
_setup_device
       self.module["vm_initialization"](*init_args)
     File "/software/tvm/python/tvm/_ffi/_ctypes/packed_func.py", line 239, in 
__call__
       raise_last_ffi_error()
     File "/software/tvm/python/tvm/_ffi/base.py", line 481, in 
raise_last_ffi_error
       raise py_err
   tvm.error.InternalError: Traceback (most recent call last):
     3: 
_ZN3tvm7runtime13PackedFuncObj9ExtractorINS0_16PackedFuncSubObjIZNS0_8relax_vm18VirtualMachineImpl
     2: 
tvm::runtime::relax_vm::VirtualMachineImpl::_Init(tvm::runtime::TVMArgs, 
tvm::runtime::TVMRetValue*)
     1: tvm::runtime::relax_vm::VirtualMachineImpl::Init(std::vector<DLDevice, 
std::allocator<DLDevice> > const&, 
std::vector<tvm::runtime::memory::AllocatorType, 
std::allocator<tvm::runtime::memory::AllocatorType> > const&)
     0: tvm::runtime::relax_vm::VirtualMachineImpl::InitFuncPool()
     File "/software/tvm/src/runtime/relax_vm/vm.cc", line 705
   InternalError: Check failed: (func.defined()) is false: Error: Cannot find 
PackedFunc tir_zeros in either Relax VM kernel library, or in TVM runtime 
PackedFunc registry, or in global Relax functions of the VM executable
   ```
   ### Environment
   * TVM: 0.17.dev0
   * OS: Ubuntu20.04
   
   ### Steps to reproduce
   
   ```
   import tvm
   from tvm import relax
   
   from tvm.script import ir as I
   from tvm.script import tir as T
   from tvm.script import relax as R
   
   
   @I.ir_module
   class Module:
       I.module_attrs({"system_lib_prefix": "hello_"})
       @T.prim_func
       def tir_zeros(x: T.Buffer((2,), "float32")):
           x[0] = T.float32(0)
   
       @R.function
       def main() -> R.Tensor((2,), dtype="float32"):
           cls = Module
           gv0 = R.call_tir(cls.tir_zeros, R.tuple(), out_sinfo=R.Tensor((2,), 
dtype="float32"))
           return gv0
   
   m = Module
   m.show()
   ex = relax.build(m, target='llvm')
   vm = relax.VirtualMachine(ex, tvm.cpu())
   ```
   cc @junrushao @Hzfengsy 
   


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