code: def create(symbol, compiled_model_path, device):
      """Create a runtime executor module given a coreml model and context.
      Parameters
      ----------
      symbol : str
          The symbol that represents the Core ML model.
      compiled_model_path : str
          The path of the compiled model to be deployed.
      device : Device
          The device to deploy the module. It can be local or remote when there
          is only one Device.
      Returns
      -------
      coreml_runtime : CoreMLModule
          Runtime coreml module that can be used to execute the coreml model.
      """
      device_type = device.device_type
      runtime_func = "tvm.coreml_runtime.create"
  
      if device_type >= rpc_base.RPC_SESS_MASK:
          fcreate = device._rpc_sess.get_function(runtime_func)
      else:
          fcreate = tvm._ffi.get_global_func(runtime_func)
  
      return CoreMLModule(fcreate(symbol, compiled_model_path))
  
imports: import tvm._ffi
  from ..rpc import base
label_desc: Use image node_id 1 for calling a global function with example usage: create(symbol, compiled_model_path, device) and returns: CoreMLModule