code: def _is_bn_node(n: Node):
      return (
          _is_supported_batch_norm_for_training(n)
          or n.target
          == torch.ops.aten._native_batch_norm_legit_no_training.default
      )
  
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 11 for calling a global function with example usage: _is_bn_node(n) and returns: unknown