code: def is_mul(node: _fx.Node):
      """
      Returns True if node is a mul op
      """
      if node.op == "call_function":
          return (
              node.target == _operator.mul or node.target == _torch.mul
          )
      return False
  
imports: import operator
  from collections import defaultdict
  from enum import Enum
  from typing import Dict
  from typing import List
  from typing import Optional
  import torch
  import torch.ao.quantization
  import torch.fx
  from torch.ao.quantization.backend_config import BackendConfig
  from torch.ao.quantization.backend_config import ObservationType
  from coremltools.optimize.torch._utils.version_utils import is_torch_2
label_desc: Use image node_id 4 for calling a global function with example usage: is_mul(node) and returns: False, unknown