code: def create(tflite_model_bytes, device, runtime_target="cpu"):
      """Create a runtime executor module given a tflite model and device.
      Parameters
      ----------
      tflite_model_byte : bytes
          The tflite model to be deployed in bytes string format.
      device : Device
          The device to deploy the module. It can be local or remote when there
          is only one Device.
      runtime_target: str
          Execution target of TFLite runtime: either `cpu` or `edge_tpu`.
      Returns
      -------
      tflite_runtime : TFLiteModule
          Runtime tflite module that can be used to execute the tflite model.
      """
      device_type = device.device_type
  
      if runtime_target == "edge_tpu":
          runtime_func = "tvm.edgetpu_runtime.create"
      else:
          runtime_func = "tvm.tflite_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 TFLiteModule(
          fcreate(bytearray(tflite_model_bytes), device)
      )
  
file_path: tvm/python/tvm/contrib/tflite_runtime.py
imports: import tvm._ffi
  from ..rpc import base
label_desc: Use image node_id 1 for calling a global function with example usage: create(tflite_model_bytes, device, runtime_target) and returns: TFLiteModule