class_docstr: This class handles the parser event from opt_parser.
  When a target statement is matched, an event is triggered,
  we collected necessary information from this event and construct
  the branches as what we want to understand.
code: def accept_layer(self, op):
      if isinstance(op, nn.graph_def.ProtoFunction):
          self.clone_func(op)
      elif isinstance(op, Resolver):
          op.resolve(self)
      elif isinstance(op, list):
          op_list = op
          for op in op_list:
              self.clone_func(op)
  
imports: import nnabla
label_desc: Use image node_id 13 for calling the OptimizerBuilder obj's underlying member method code with example usage: obj.accept_layer(op) without return types