code: def normalize_tuple(x):
      if not isinstance(x, tuple):
          return (x,)
      return x
  
imports: import time
  from functools import partial
  from typing import Any, Callable, Dict, Tuple
  import torch
  from torch.fx import Graph, Node
  from torch.fx.node import Argument, Target
  from torch.nn.parameter import Parameter
  from torch.utils._pytree import tree_map
  from .._compatibility import compatibility
  from .constants import ALIAS_ATEN, OUTPUT_SAVED_MOD, OUTPUT_SAVED_OPS
  from .dataflow import GraphInfo, Phase, autograd_graph_analysis, is_phase
  from .memory_utils import activation_size, parameter_size
  from .opcount import flop_mapping
  from .tensor import MetaTensor
label_desc: Use image node_id 1 for calling a global function with example usage: normalize_tuple(x) and returns: x, x