code: def tensor_attr_unsupported_getter(func, *args, **kwargs):
      if func == torch.ops.aten.size.default:
          raise RuntimeError(
              "NestedTensors does not support directly calling torch.ops.aten.size "
              "please use `nested_tensor.size()` instead."
          )
  
imports: import functools
  import math
  import operator
  import torch
  from torch.nested._internal.sdpa import jagged_scaled_dot_product_attention
  from .nested_tensor import NestedTensor
  from typing import *
  from torch.fx.operator_schemas import normalize_function
label_desc: Use image node_id 16 for calling a global function with example usage: tensor_attr_unsupported_getter(func) without return types