code: def _is_sym_size_node(node: Node):
      return (
          node.op == "call_function"
          and node.target == torch.ops.aten.sym_size.default
          or node.target == torch.ops.aten.sym_numel.default
          or node.target == torch.ops.aten.sym_numel
          or node.target == torch.ops.aten.sym_size
      )
  
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 3 for calling a global function with example usage: _is_sym_size_node(node) and returns: unknown