code: def __enter__(self):
      def _tracing_name(self_, tracing_state):
          if not tracing_state._traced_module_stack:
              return None
          module = tracing_state._traced_module_stack[-1]
          for name, child in module.named_children():
              if child is self_:
                  return name
          return None
  
      def _slow_forward(self_, *input, **kwargs):
          tracing_state = torch._C._get_tracing_state()
          if not tracing_state or isinstance(
              self_.forward, torch._C.ScriptMethod
          ):
              return self_.forward(*input, **kwargs)
          if not hasattr(tracing_state, "_traced_module_stack"):
              tracing_state._traced_module_stack = []
          name = _tracing_name(self_, tracing_state)
          if name:
              tracing_state.push_scope(
                  "%s[%s]" % (self_._get_name(), name)
              )
          else:
              tracing_state.push_scope(self_._get_name())
          tracing_state._traced_module_stack.append(self_)
          try:
              result = self_.forward(*input, **kwargs)
          finally:
              tracing_state.pop_scope()
              tracing_state._traced_module_stack.pop()
          return result
  
      self.backup = torch.nn.Module._slow_forward
      setattr(torch.nn.Module, "_slow_forward", _slow_forward)
  
imports: from mmdnn.conversion.common.DataStructure.graph import GraphNode, Graph
  import torch
  import torch.autograd
  import torch.serialization
  import contextlib
  from torch.jit import _unique_state_dict
label_desc: Use image node_id 2 for calling the scope_name_workaround obj's underlying member method code with example usage: obj.__enter__() and returns: None, result, None, self_, name