parameters: (self,
                  node: Node,
                  qconfig: QConfigAny,
                  modules: Dict[str, torch.nn.Module],
                  quantized_graph: Graph,
                  node_name_to_scope: Dict[str, Tuple[str, type]],
                  load_arg: Callable,
                  is_reference: bool = False,
                  convert_custom_config_dict: Dict[str, Any] = None)
return_statement: return NotImplemented
docstring: Convert the given node to a quantized node and insert
          it to the quantized graph
docstring_summary: Convert the given node to a quantized node and insert
          it to the quantized graph
docstring_tokens: Convert the given node to a quantized node and insert it to the quantized graph
function: def convert(self,
                  node: Node,
                  qconfig: QConfigAny,
                  modules: Dict[str, torch.nn.Module],
                  quantized_graph: Graph,
                  node_name_to_scope: Dict[str, Tuple[str, type]],
                  load_arg: Callable,
                  is_reference: bool = False,
                  convert_custom_config_dict: Dict[str, Any] = None) -> Node:
          """ Convert the given node to a quantized node and insert
          it to the quantized graph
          """
          return NotImplemented
function_tokens: def convert ( self , node : Node , qconfig : QConfigAny , modules : Dict [ str , torch . nn . Module ] , quantized_graph : Graph , node_name_to_scope : Dict [ str , Tuple [ str , type ] ] , load_arg : Callable , is_reference : bool = False , convert_custom_config_dict : Dict [ str , Any ] = None ) -> Node : return NotImplemented