code: def _is_literal(arg):
      if isinstance(arg, (int, float)):
          return True
      if isinstance(arg, (tuple, list)):
          return all(map(_is_literal, arg))
      return False
  
imports: import operator
  import types
  import torch
  from torch._export import capture_pre_autograd_graph
  from torch.fx import GraphModule, Node
  from torch.nn.utils.fusion import fuse_conv_bn_weights
  from typing import Any, Callable, Dict, Optional, Tuple, List, Union
  from torch.utils._pytree import LeafSpec
  from torch.ao.quantization.fx._decomposed import quantized_decomposed_lib
  from torch.ao.quantization.quantizer import QuantizationAnnotation
label_desc: Use image node_id 17 for calling a global function with example usage: _is_literal(arg) and returns: False, True, all