class_docstr: Wrapper runtime module.
  
  This is a thin wrapper of the underlying TVM module.
  you can also directly call set_input, run, and get_output
  of underlying module functions
  
  Parameters
  ----------
  module : Module
      The internal tvm module that holds the actual tflite functions.
  
  Attributes
  ----------
  module : Module
      The internal tvm module that holds the actual tflite functions.
code: def __init__(self, module):
      self.module = module
      self._set_input = module["set_input"]
      self._invoke = module["invoke"]
      self._get_output = module["get_output"]
      self._set_num_threads = module["set_num_threads"]
  
file_path: tvm/python/tvm/contrib/tflite_runtime.py
imports: import tvm._ffi
  from ..rpc import base
label_desc: Use image node_id 1 to create a new TFLiteModule object from inherited base classes: object with example: obj = TFLiteModule(module)