code: def graph_to_gluon(self, graph, ctx):
          
          sym, arg_params, aux_params = self.from_onnx(graph)
          metadata = self.get_graph_metadata(graph)
          data_names = [input_tensor[0] for input_tensor in metadata['input_tensor_data']]
          data_inputs = [symbol.var(data_name) for data_name in data_names]
  
          from ....gluon import SymbolBlock
          net = SymbolBlock(outputs=sym, inputs=data_inputs)
          net_params = net.collect_params()
          for param in arg_params:
              if param in net_params:
                  net_params[param].shape = arg_params[param].shape
                  net_params[param]._load_init(arg_params[param], ctx=ctx)
          for param in aux_params:
              if param in net_params:
                  net_params[param].shape = aux_params[param].shape
                  net_params[param]._load_init(aux_params[param], ctx=ctx)
          return net
docs: Construct SymbolBlock from onnx graph.
  
          Parameters
          ----------
          graph : onnx protobuf object
              The loaded onnx graph
          ctx : Context or list of Context
              Loads the model into one or many context(s).
  
          Returns
          -------
          sym_block :gluon.nn.SymbolBlock
              The returned gluon SymbolBlock