code: def softmax_backward_data(parent, grad_output, output, dim, self):
      """
      A function that calls the internal `_softmax_backward_data` PyTorch method and that adjusts the arguments according
      to the torch version detected.
      """
  
      if is_torch_less_than_1_11:
          return _softmax_backward_data(
              grad_output, output, parent.dim, self
          )
      else:
          return _softmax_backward_data(
              grad_output, output, parent.dim, self.dtype
          )
  
file_path: H2O/h2o_flexgen/benchmark/third_party/transformers/src/transformers/pytorch_utils.py
imports: import inspect
  from typing import Callable, List, Optional, Set, Tuple, Union
  import torch
  from packaging import version
  from torch import _softmax_backward_data, nn
  from .utils import logging
label_desc: Use image node_id 2 for calling a global function with example usage: softmax_backward_data(parent, grad_output, output, dim, ) and returns: _softmax_backward_data, _softmax_backward_data