class_docstr: Relay VM runtime.
  
  Parameters
  ----------
  exe : Executable
      The VM executable.
  
  device : tvm.runtime.Device or List[tvm.runtime.Device]
      The device(s) on which the model will run.
      Currently at most one device per device type is supported.
  
  memory_cfg : str or Dict[tvm.runtime.Device, str], optional
      Config the type of memory allocator. The allocator type can be ["naive",
      "pooled"]. If memory_cfg is None, all devices will use pooled allocator
      by default. If memory_cfg is string, all devices will use the specified
      allocator type. If memory_cfg is a dict, each device uses the allocator
      type specified in the dict, or pooled allocator if not specified in the
      dict.
docstr: Run the main function.
  
  Parameters
  ----------
  args : list[tvm.runtime.NDArray] or list[np.ndarray]
      The arguments to the function.
  
  kwargs: dict of str to tvm.runtime.NDArray or np.ndarray
      Named arguments to the function.
  
  Returns
  -------
  result : Object
      The output.
docstr_tok: ["Run","the","main","function",".","Parameters","--","--","--","--","--","args",":","list","[","tvm.runtime.NDArray","]","or","list","[","np.ndarray","]","The","arguments","to","the","function",".","kwargs",":","dict","of","str","to","tvm.runtime.NDArray","or","np.ndarray","Named","arguments","to","the","function",".","Returns","--","--","--","-","result",":","Object","The","output","."]
code: def run(self, *args, **kwargs):
      """Run the main function.
  
      Parameters
      ----------
      args : list[tvm.runtime.NDArray] or list[np.ndarray]
          The arguments to the function.
  
      kwargs: dict of str to tvm.runtime.NDArray or np.ndarray
          Named arguments to the function.
  
      Returns
      -------
      result : Object
          The output.
      """
      return self.invoke("main", *args, **kwargs)
  
imports: import numpy
  import tvm
  from tvm.runtime import Module
  from tvm._ffi.runtime_ctypes import TVMByteArray
  from tvm._ffi import base
  from .object import Object
  from .None import _ffi_api, container
  from ..rpc.base import RPC_SESS_MASK
label_desc: Use image node_id 6 for calling the VirtualMachine obj's underlying member method code with example usage: obj.run() and returns: self