code: def nll_loss2d(
      g: jit_utils.GraphContext,
      self,
      target,
      weight,
      reduction,
      ignore_index,
  ):
      return nll_loss(g, self, target, weight, reduction, ignore_index)
  
imports: from __future__ import annotations
  import functools
  import sys
  from typing import Optional, Tuple
  import torch
  from torch._C import _onnx
  from torch.onnx import _type_utils, errors, symbolic_helper, symbolic_opset9, utils
  from torch.onnx._internal import _beartype, jit_utils, registration
label_desc: Use image node_id 8 for calling a global function with example usage: nll_loss2d(g, target, weight, reduction, ignore_index) and returns: nll_loss